Document RJrqpX9wNpQXpZwoY48bwykaa
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June 25, 2001
Overview of the 3M Company Study
"An Epidemiologic Analysis of Episodes of Care of 3M Decatur Chemical and Film Plant Employees, 1993-1998"
The analysis of administrative databases, including health insurance claims data, have been infrequently reported in occupational epidemiologic research studies. Often reported are the results from traditional occupational retrospective cohort mortality studies. However if the outcomes in question do not lead to mortality, then such research has limited value. Morbidity studies circumvent the mortality issue. Frequently involving self-reported questionnaires, these morbidity studies, too, have limited value unless they involve the time-intensive review and validation of the reported health outcomes through medical record review. Recently, the advent of high-speed computers and aggregation of large databases have provided increasing opportunities for another avenue of morbidity research, that of analysis of administrative databases, including health insurance claims data. As Wong stated in his recent commentary in the Annals of Epidemiology (see July 2001, volume 11, pages 281-284), "the increasing use of personal identifiers to record everyday transactions and health-related events and the computerization and archive of these transactions and events, the possibility of record linkage in epidemiologic research is endless. In theory at least, linking existing administrative data to health records represents a fast and inexpensive approach to data
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collection. In particular, routine analyses of such data will serve as an effective tool for surveillance or hypothesis generation. However, because these databases are set up and maintained for administrative and not scientific purposes, caution must be exercised in their use and their limitation must be recognized."
The attached study entitled, "An Epidemiologic Analysis of Episodes of Care of 3M Decatur Chemical and Film Plant Employees, 1993-1998" utilizes a concept defined several decades ago, the 'episode of care' to examine an administrative health insurance claims database of 3M Decatur chemical and film plant employee and retiree records from January 1, 1993 through December 31, 1998. An episode of care is defined as a series of related health events with a beginning, an end and a course, all related to a particular health problem that exists continuously for a delineated period of time. Current commercialized computer software allows the stream of health claims data (e.g., inpatient, outpatient, pharmacy) to be examined in aggregate and categorized into episodes of care. The software code constructs an episode of a care around the indexeligible record by searching backward and forward in time for the health claims records that are related to the disease or condition on the index record. The index record consists of either procedure codes indicative of a face-to-face encounter or a pharmacy record for a delineating drug. More than 400 diseases and conditions were analyzed by the software (Clinical Care GroupsTM developed by Ingenix Employer Group) used in this research study.
An important limitation of an episode of care study is the fact that the concept does not translate into well-defined epidemiologic endpoints as it may include incident cases, prevalent cases, tentatively diagnosed cases and misclassified cases that are the
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routine consequence of the differential diagnoses that individuals may undergo in the course of disease diagnosis, treatment and management. Nevertheless, the episode of care concept may be a useful screening (i.e., surveillance) method for the potential risk of diseases and/or conditions that do not lead to traditional occupational epidemiologic study endpoints as stated previously.
The purpose of this episode of care study was to compare the observed to expected episodes of care experience of 652 chemical employees to the observed to expected episode of care experience of 659 film plant employees at the 3M Decatur manufacturing site. Health claims data were not available prior to 1993. Because the local medical care delivery system has a large influence on diagnoses rendered and hospitalizations incurred, this study design was able to adjust for this issue by directly comparing the Decatur chemical plant population episode of care experience to the Decatur film plant population episode of care experience. For each plant population, an expected number was calculated based on the 3M Company's U.S. employee population experience using indirect standardization techniques taking into account age, gender and calendar time period. The ratio of these two ratios (chemical plant's observed to expected experience divided by the film plant's observed to expected experience) may then be considered a relative risk ratio under certain assumptions. Employee comparison groups within the chemical plant population were defined according to their potential workplace exposure to perfluooroctane sulfonyl fluoride (POSF) fluorochemical production.
As Wong stated in his commentary (above), research studies such as this should be viewed as surveillance or hypothesis generating research endeavors. Based on a substantial body of literature including perfluorooctanesulfonate (PFOS) and
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perfluorooctanoate (PFOA) toxicology and epidemiology research conducted, to date, the episodes of care that were considered a priori (i.e., surveillance) interests in this study were broadly defined to include liver and bladder cancer, endocrine disorders involving the thyroid gland and lipid metabolism, gastrointestinal disorders of the liver and biliary tract, and reproductive, pregnancy, congenital and perinatal disorders. In this regard, the episodes of care experience involving these outcomes was comparable between chemical and film plant employees. We did observe an association with cholelithiasis with acute cholecystitis but this was likely due to fewer expected number of episodes of care among the film plant employees rather than an excess of observed number of episodes of care among the chemical plant employees. It should be noted that other occupational epidemiologic research of medical surveillance data of the Decatur chemical plant employee population has not associated adverse clinical chemistry results with workplace exposure to POSF-based products.
As can be expected when there are more than 400 diseases and conditions analyzed in an epidemiologic study, non a priori associations were also observed which included colorectal cancer, benign colonic polyps and benign neoplasms of the skin. We urge considerable caution in the interpretation of these non a priori data as these associations were often the consequence of a few observed episodes of care reported among chemical plant employees and a fewer number of observed than expected episodes of care reported for film plant employees. Whether these non a priori findings have a biological rationale related to POSF-based exposure is doubtful as considerable toxicologic and epidemiologic research conducted, to date, does not provide support for these episode of care associations.
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3M Company EPI-0004
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FINAL REPORT Epidemiology, 220-3W-05
Medical Department 3M Company
St. Paul. MN 55144
Date:May 18, 2001
Title: An Epidemiologic Analysis of Episodes of Care of 3M Decatur Chemical and Film Plant Employees, 1993-1998
Study Start Date: April 22, 1998
IRB Approval Date: April 22,1998
Protocol Number EPI-0004
IRB Approval
Exempt
Expedited
X
Principal Investigator: Co-investigators:
Study Director:
Geary W. Olsen, D.V.M., Ph.D.1 Michele M. Burlew, M.S.1 Brooks B. Hocking, B.A..2 Julia C. Skratt, B.A.2 Jean M. Burris, R.N., M.P.H.1 Jeffrey H. Mandel, M.D., M.P.H.1
Jeffrey H. Mandel, M.D., M.P.H.1
1. 3M Company, Medical Department, Mail Stop 220-3W-05, St. Paul, MN 55144
2. Ingenix Employer Group, 157 Church Street, 25thFloor, New Haven, CT 06510
y
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ABSTRACT
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A health care episode is defined as a series of related events with a beginning, an
end, and a course, all related to a particular health problem that exists continuously for a
delineated period of time. The episode of care concept does not translate into a well-
defined epidemiologic endpoint as it may include incident cases, prevalent cases,
tentatively diagnosed cases and misclassified cases that are the routine consequence of
the differential diagnoses that individuals may undergo in the course of disease diagnosis,
treatment and management. Nevertheless, the episode of care concept may be a useful
screening method for the potential risk of diseases and/or conditions that do not lead to
traditional occupational epidemiologic study endpoints such as mortality, or morbidity
outcomes that would be difficult to assess without formal investigations involving
comprehensive medical record reviews to validate the diagnoses.
The purpose of this study was to compare the observed to expected episodes of
care experience of 652 chemical employees to the observed to expected episode of care
experience of 659 film plant employees at the 3M Decatur manufacturing site. These
employees worked between January 1,1993 and December 31,1998. We utilized the
Clinical Care GroupsTM (CCG) episode of care software developed by Ingenix Inc. to
provide a comprehensive grouping of all visits (inpatient, outpatient), procedures,
ancillary services and prescription drugs used in the diagnosis, treatment and
management of more than 400 diseases or conditions. The software code constructs an
episode of care around the index-eligible record by searching backward and forward in
time for the health claims records that are related to the disease or condition on the index
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record. The index record consists of either procedure codes indicative of a face-to-face encounter or a pharmacy record for a delineating drug.
Employee comparison groups were defined according to their potential workplace exposure to perfluorooctane sulfonyl fluoride (POSF) fluorochemical production. These comparison groups included those employees who only worked at the chemical or film plant, those employees who were considered to have had a high exposure job to POSFbased fluorochemicals and those employees who had worked the 10 years prior to study onset in jobs with high potential for exposure to POSF-based fluorochemicals. These POSF-based fluorochemicals may transform metabolically, to an undetermined degree, to perfluorooctanesulfonate (PFOS). Industrial hygiene and biological monitoring at the Decatur plant had shown a strong correlation between employee serum levels with PFOS and perfluorooctanoate (PFOA). At Decatur, PFOA exposures may be the result of a by product of the electrolytic cell production, actual production of PFOA (began in 1998) or in its use as an elastomer in fluoropolymer production.
The risk ratio episode of care (RREpC) provided the estimate of risk between the observed to expected episodes of care experienced among chemical plant employees compared to the observed to expected episodes of care experienced among film plant employees (nonexposed). In essence, RREpC is a ratio of two indirect standardized ratios and is an unbiased estimator of the risk ratio if there are similar age- and genderspecific structures between the two comparison populations. The expected number of episodes of care for the chemical and film plant populations was calculated from the health claims experience of the 3M U.S. manufacturing population.
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Based on a substantial body of literature including PFOS and PFOA toxicology and epidemiology research conducted, to date, the episodes of care that were considered a priori interests in this study included liver and bladder cancer, endocrine disorders involving the thyroid gland and lipid metabolism, gastrointestinal disorders of the liver and biliary tract, and reproductive, pregnancy, congenital and perinatal disorders.
In our study, the overall episodes of care experience was comparable between chemical and film plant employees for most diseases and conditions. Of our a priori concerns, we observed only one liver cancer episode of care, which was from a film plant employee. Among all employees we did not observe RREpCs that excluded the null hypothesis (RREpC = 1.0) for a variety of liver disorders, thyroid and lipid metabolism disorders and reproductive, pregnancy, congenital and perinatal disorders. We did observe an association with cholelithiasis with acute cholecystitis (RREpC = 8.6, 95% confidence interval 1.1-381); this may have been due, in part, to fewer expected number of episodes of care in the film plant. The RREpC for other biliary tract disorders did not exclude the null hypothesis in the confidence interval.
Because of a previously reported increased mortality risk for bladder cancer among the chemical plant employees, we focused particular attention on episodes of care which involved the urogenital tract. We found only one episode of care for bladder cancer reported for a film plant employee who had never worked in the chemical plant. We did observe a greater increased risk in episodes of care among chemical plant employees for lower urinary tract infections (RREpC = 1.3,95% confidence interval 1.0 1.6). This-increased risk of episodes of care was greater among the long-term high exposure chemical plant workers (RREpC = 2.2, 95% Cl 1.4-3.3). There was also a
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greater percentage of these long-term high exposure chemical plant workers who had recurring lower urinary tract infections (59%) than film plant workers (31%). It is not known whether this reoccurrence is a result of occupational exposure(s) or nonoccupational-related factors. We do note that the prevalence of episodes of care for lower and unspecified urinary tract infections (number of unique individuals divided by population at risk) was comparable between the chemical (9.5%) and film (9.9%) plant employees.
Other associations observed, that were not a priori concerns, among all study subjects included increased RREpCs for cancers and benign growths (RREpC = 1.3,95% Cl 1.1-1.6) that was contributed to by increased RREpCs (which did not exclude the null hypothesis) for benign colonic polyps (RREpC = 1.4, 95% Cl 0.9-2.1), malignant neoplasms of the colorectal tract (RREpC = 5.4,95% Cl 0.5-265), malignant neoplasms of the rectum (RREpC = 1.8,95% Cl 0.3-12), malignant neoplasms of the prostate (RREpC = 7.7,95% Cl 0.9-364) and benign neoplasms of the skin (RREpC = 1.3, 95% Cl 0.9-1.7).
We urge caution in the interpretation of our study data as these RREpCs represent the risk ratio for episodes of care, not for disease incidence. Those RREpCs with values greater than 2.0 were often the consequence of a few observed episodes of care reported among chemical plant employees and a greater number of expected than observed episodes of care reported for film plant employees. This led to wide confidence intervals as reported above for malignant neoplasms of the colorectal tract and prostate. Our analysis was limited by the study time period of six years. Health claims data were not available prior to 1993. Whether our non a priori findings have a biological rationale
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related to POSF-based or PFOA exposure is doubtful as considerable toxicologic and
epidemiologic research conducted, to date, does not provide support for these episode of
care associations.
INTRODUCTION 3M Perfluorooctanvl Chemistry, Toxicology and Epidemiology
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Fluorinated organic compounds have been used for decades in a wide variety of industrial and commercial applications. The 3M company has produced fluorochemicals by an electrochemical process at its Decatur (Alabama) manufacturing facility that exchanges all of the hydrogen atoms of an organic feedstock with fluorine atoms from hydrogen fluoride [3M Company, 2000]. The highest volume perfluorochemical produced in this way is perfluorooctane sulfonyl fluoride (POSF). Using POSF as a basic building block, unique chemistries can be created by further reaction with functionalized hydrocarbon molecules. These perfluorinated compounds are used in applications such as specialty lubricants, semiconductor manufacturing, protective barriers or coatings, surfactants, fire retardants and non-conductive coolants. Exposure to POSF-based fluorochemicals may transform metabolically, to an undetermined degree, to perfluorooctanesulfonate (PFOS; CsFnSOa') as an end-stage metabolite. Information related to human and environmental exposures to PFOS have been developed providing evidence of widespread distribution in humans and the environment.
A detailed description of industrial hygiene and biological monitoring of several fluorochemicals, including PFOS and perfluorooctanoate (PFOA, C7F 15COO'), at the Decatur plant, has been reported [Logan et al, 2001; Olsen et al, 2001]. At the Decatur site, PFOA exposures may be the result of it being produced as a by-product of the
.s'
electrochemical cell production, of actual production of PFOA (which began in 1998) or of its use as an elastomer in fluoropolymer production. Employees may be exposed by
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one or all routes (i.e., inhalation, skin contact/absorption, and ingestion) to PFOS and PFOA. The primary route of exposure may be different for each employee and depends on several different factors such as: process conditions, job tasks, work location, personal hygiene, personal habits and general work practices [Logan et al, 2001] Inhalation was considered the primary route of exposure from POSF-based production processes and fugitive sources [Logan et al, 2001].
Serum levels of PFOS from cell chemical operators engaged in POSF-based fluorochemical production have averaged between 1 and 2 ppm with the highest values reported at 10 ppm. Employees engaged in indirect production activity, such as engineers and laboratory workers, had serum fluorochemical levels that averaged less than 0.5 ppm. At the Decatur site's film plant where nonfluorochemical production occurs, located approximately 300 yards from the chemical plant, employees' serum PFOS levels averaged 0.1 ppm. Although observed at slightly lower levels, the Decatur employees' serum PFOA levels correlated with their serum PFOS levels [Olsen et al, 2001]. Unlike serum PFOS, serum PFOA levels did not exceed 5 ppm. Total serum organic fluorine was correlated with the organic fluorine calculated in employees' serum PFOS and PFOA levels.
There is substantial toxicologic and epidemiologic literature regarding PFOA. Briefly, PFOA is a moderate inducer of peroxisome proliferation related to an increased incidence of hepatic, pancreas, and Leydig cell adenomas in lifetime feeding bioassays of rats [Sibinski, 1987; Cook et al, 1994; Biegel et al, 1995, Oboum et al, 1997]. Repeated daily exposure of cynomolgus primates to ammonium perfluorooctanoate for 26 weeks by gastric intubation resulted in severe toxicity among animals in the highest dose group
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(30 mg/kg/day subsequently reduced to 20 mg/kg/day) during the course of the study [Butenhoff et al, 2001]. Dose-related increased liver weights without macroscopic or microscopic changes occurred at the lowest dosage (3 mg/kg/day), which was associated with serum PFOA levels of approximately 50 ppm. Epidemiologic studies have not associated clinical chemistries, hormones or mortality outcomes of workers with occupational exposures to PFOA [Gilliland and Mandel, 1993; 1996; Olsen et al, 1998; 2000; Alexander, 2001a]. Several production employees at the 3M Cottage Grove plant, which manufactures ammonium perfluorooctanoate, have exceeded 30 ppm (range 0.0 114 ppm) [Olsen et al, 1998].
Regarding the toxicology of PFOS, several repeat dose studies have consistently demonstrated that the liver is the primary target organ [3M Company, 2000]. Liver tissue response to high doses of PFOS included the enlargement of the liver and apparent alterations in metabolic processes with the reduction in serum cholesterol levels observed as the earliest clinical response to PFOS [Seacat et al, 2001a]. These effects occurred in cynomolgus primates at serum PFOS levels at 100 ppm. Also at high doses, PFOS adversely affected survival of rat pups in the neonatal period of life as a result of maternal exposure during fetal development [3M Company, 2000]. Reduced weight gain, absorptions and resorptions were observed at the higher dose groups tested (1.6 mg/kg/day and 3.2 mg/kg/day). There were no effects on post-natal neurological development or on fertility and estrous cycling in offspring in multi-generation studies. Multiple genotoxicity assays suggested PFOS does not present a hazard from interaction with genetic material. Results from a two-year rat bioassay cancer study will be reported
in 2001.
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Serum PFOS levels in 3M's fluorochemical production workers have not been associated with abnormalities in clinical testing that included lipids, hematologic parameters and 11 different hormone values [Olsen et al, 1999]. An update of a retrospective cohort mortality study of 2,083 Decatur chemical and film plant employees with at least one cumulative year of work experience was recently completed [Alexander, 2001b]. Standardized mortality ratios (SMRs) were reported for three exposure subgroups: high exposure to POSF-based chemicals (e.g., cell and chemical operators), low exposure to POSF-based chemicals (engineers, laboratory workers in chemical plant) and minimal/nonexposure (film plant employees). The SMRs for total causes of death, all malignant neoplasms and all heart disease for each exposure sub-cohorts were lower than expected based on Alabama mortality rates. Two deaths from liver cancer were observed in the workers with at least one year of the combined employment in low and high exposure subcohorts (SMR = 3.1,95% Cl 0.4-11.1). Three bladder cancer deaths were reported among workers with at least one year of employment in the high exposure subcohort (SMR 16.1,95% Cl 3.2-47.1). Two of these three employees had worked for extensive periods of time in both the chemical and film plants. It was not clear whether these employee bladder cancer deaths could be attributed to fluorochemical exposures, another bladder carcinogen(s) encountered during their Decatur or non-Decatur work history careers or other nonoccupational factors, including the unknown possibility of an increased risk for mortality but perhaps not incidence of bladder cancer in this worker population.
A rhajor strength of a retrospective cohort mortality study is the fact that, if the complete study population is identified, a comprehensive analysis of the occupational
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cohort's death experience can be ascertained. However, if the occupational exposure is likely to lead to a non-mortality outcome, then the findings of the mortality study may be limited. Because the Decatur employees' PFOS serum levels were, on average, 2 orders of magnitude below the known earliest clinical effect (lowered serum cholesterol levels) in subchronic primate toxicity studies, it was not anticipated that disease outcomes would be associated with POSF-based fluorochemical exposures. Another reason for this epidemiologic investigation was to provide an additional perspective, that being morbidity of the Decatur chemical and film plant employees.
Morbidity studies (whether prospective or retrospective, longitudinal or cross sectional) have their own important limitations. In particular, self-reports of diseases or conditions without medical record confirmation may provide biased findings. Several important tasks must occur for medical record review to happen. First, patient/physician confidentiality issues must be addressed in order to gain access to the records. Second, the medical records must then be found. Patients often visit multiple care givers and hospitals/clinics. Records may be lost or destroyed over time. Third, the medical records must be abstracted, coded and computerized for data analyses with subsequent quality assurance processes in place. All of these are resource-intensive, time consuming tasks. Fourth, there may be potentially numerous a priori hypotheses to examine. Non a priori hypotheses simply may not be examined due to time and cost constraints.
In order to minimize some of these limitations, we decided to examine what is referred to as an "episodes of care" experience of Decatur chemical and film plant employees^ An analysis of episodes of care should be considered a screening study for
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morbidity outcomes. As this episode of care concept is not generally well-known and rarely reported in occupational epidemiologic research, a detailed description follows.
Concept of an Episode of Care The health care episode concept was conceived less than forty years ago [Solon et
al 1967]. A health care episode is defined as a series of related events with a beginning, an end, and a course, all related to a particular health problem that exists continuously for a delineated period of time [Hombrook et al., 1985]. An episode, as a measure of output, covers every service, and only those services, required to diagnose and treat each welldefined health problem.
Hombrook et al [1985] differentiated four types of health care episodes: illness (patient perspective), disease (provider perspective), episode of care (payer perspective) and health maintenance. An episode of illness was defined as a single, unbroken interval of time during which the patient suffers from a continuous series of signs and/or symptoms that are perceived as ill-heath. An episode of disease begins with clinical specification that a disease is present and ends with specification that it is resolved. Episodes of disease may exist independent of episodes of illness. For example, although the illness symptoms may remain continuous, a physician may interpret the clinical evidence to reveal that the patient's initial disease has been superceded by another disease. Hombrook et al [1985] defined an episode of care as a series of temporally continuous health care services related to treatment of a given illness or provided in response t<5a specific request by the patient. An episode of care is characterized by an onset, interim and a solution of the health problem for acute diseases and a resolution for
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chronic diseases. One specific episode of care may involve more than one episode of illness and/or disease. The final type of episode Hombrook et al [1985] described was a health maintenance episode which incorporates a comprehensive scheme for categorizing reasons for a person's contact with the health care system which can include both non disease (e.g., immunizations, birth control, preplacement exams, health promotion activity) as well as disease-related conditions.
In general, it is much easier to measure episodes of care than episodes of illness or disease because medical records and insurance claims provide profiles of types and times of services more often than actual clinical data [Greene and Gunselman, 1984], Episodes of care can commence upon an appointment scheduled, first patient-provider encounter, establishment of a diagnosis, or patient history of a chronic illness that was diagnosed previously. An episode of care terminates upon evidence that the particular disease, illness or care process was completed. For acute diseases, this is fairly straightforward. For chronic diseases, there may be no resolution of the disease, multiple beginnings and endings of the illness, and possibly only one or multiple episodes of care. This depends upon how the algorithm is constructed for the episode of care.
Because the episode of care can be measured (i.e., defined with a beginning, course, and end), several proprietary software products have been created which allow for the grouping of episodes of care via variable patient classification algorithms. Rosen and Mayer-Oake [1999] reviewed four of the most prominent first generation proprietary episode software products. Characteristics of these proprietary software products were the definition of an episode, number of grouped categories, case-mix adjustment, comprehensiveness of the claims included, clinical flexibility, onset and resolution
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determinations and time between episodes. The lack of readily available data has hindered some of the complex methodological problems encountered when attempting to construct episode of care measures [Wingert et al, 1995].
A variety of methodological issues need to be considered when using an episode of care software product. Most importantly, among the various software programs there is no uniform approach to the software construction (i.e., grouping) of an episode of care. Thus, types and counts of episodes of care may differ by the software used. An episode of care may begin with a clear diagnosis by a provider; some providers, however, base an initial diagnosis on the patient's signs and symptoms whereas others assign a diagnosis only after a confirmed procedure. It is possible that two different diagnoses may be assigned to the same episode. A diagnosis that is categorized as confirmed, may in fact be tentative, or even incorrect (i.e., only a rule-out diagnosis). Thus, from an epidemiologic perspective an episode of care could represent any and all of the incident cases (newly diagnosed), prevalent cases (existing cases) and/or misclassified cases (both directions, false positive and false negative). Therefore, it is important that the term episode of care not be confused with incidence or prevalence as it can be a measure of both and also have an undetermined degree of misclassification. It is best to view episodes of care as its own unique metric. Second, there is variability in the comprehensiveness of the services that are included in the construction of the health care episode. Generally inpatient and outpatient services are considered but other services including prescriptions and laboratory work-up may, or may not, be included. Third, the endpoint of an episode can also vary among these software programs. An endpoint can be a predetermined time period for a defined condition or it may be determined through
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the use of "clean periods" or "clean windows" which are defined as gaps in time between health care services necessary to separate possible recurring episodes. Finally, the clinical flexibility of the algorithm may differ depending upon the software program used [Cave 1995; Dang et al, 1996a; 1996b; Rosen and Mayer-Oakes, 1999].
Study Purpose The purpose of this study was to utilize Clinical Care GroupsTM (CCG) software,
developed by Ingenix Employer Group (Ingenix) to analyze the episode of care experience among Decatur chemical and film plant employees. CCG represents state-ofthe-art episode of care methodology [Valdivia and Van Vorst; 2000]. The overall methodologic strategy was to calculate, for more than 400 CCG disease and condition descriptions (defined in the Methods section), the risk ratio of the observed to expected episodes of care experience of Decatur chemical plant employees who worked between January 1, 1993 and December 31, 1998 compared to the observed to expected episodes of care experience of film plant employees who worked during the same time period. Based on toxicology and epidemiology research conducted, to date, on the PFOA and POSF-based chemistry, episodes of care that were considered a priori interests in this study included liver and bladder cancer, endocrine disorders involving the thyroid gland and lipid metabolism, gastrointestinal disorders of the liver and biliary tract, and reproductive, pregnancy, congenital and perinatal disorders.
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METHODS
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Presented below are detailed mthodologie descriptions of the CCG software used
in this study; the eligible Decatur employee study population; the databases used and
data extraction techniques employed by Ingenix; and the statistical analyses that were
used to construct the risk ratio episode of care.
Specifics of CCG Software The CCG software involves a comprehensive grouping of all visits (inpatient,
outpatient), procedures, ancillary services and prescription drugs used in the diagnosis treatment and management of more than 400 diseases or conditions. Within CCG, an episode of care is constructed by four main sections: episode initiation; incorporation of pharmacy claims; backward and forward searching; and claim record labeling. Unlike other episodes of care software, CCG pre-processes drug claims in an attempt to assign one or more diagnosis codes to each record based on diagnosis codes found in the patient's medical claims stream. This is called the Drug-Disease Matcher (DDMTM).
The software code (called a grouper by CCG) constructs an episode around the index-eligible record by searching backward and forward in time for records that are related to the disease in question. Acute conditions have anterior and posterior clear windows which determine the number of days that can be searched prior to (anterior window) and after (posterior window) the index event. This window is reset if related claims are found. Because of their nature, chronic conditions do not have clear windows. Rather a predetermined 999 day interval is set that can be reset 999 days from events that would be associated with the index event.
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The CCG grouper labels the claim records to one of the five following record types: index, associated, precursor, sign/symptom, and V-code. An index record consisted of either procedure codes indicative of a face-to-face encounter or a pharmacy record for a delineating drug (drugs that treat a specific disease, e.g., insulin for diabetes). Although claim records often list multiple diagnosis codes for a single encounter, the CCG program contained logic that determined the diagnosis code most likely the reason for the encounter. This primary diagnosis code on the index record determined which Class description (defined below) the record was assigned, thereby opening either a new episode of care or adding to an already existing episode. The other four claim record labels that the CCG software uses were: 1) precursor (contains one or more diagnosis codes representing a clinical precursor to the more clinically significant disease that had been episoded); 2) sign/symptom (contains nonspecific diagnosis code that can be considered to part of a more specific disease); 3) V-code (supplementary factors that influenced health status but were not classified into more specific disease categories (e.g., alcoholism could refer to several different disease conditions)); and 4) associated records (non-index eligible procedure codes that occurred outside of a patient-provider encounter).
The CCG software assigns an episode of care to a CCG Class description of a disease or condition. A CCG Class has several important qualities. It is: 1) clinically homogenous; 2) exhaustive; 3) part of a disease hierarchy; and 4) classified as a chronic or acute condition. Several CCG Classes may define a CCG Category. Several CCG Categories'constitute a CCG Specialty Category. Altogether, the CCG grouper software
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allows for 20 Specialty Categories that are subdivided into 103 CCG Categories. The CCG Categories are then further subdivided into 442 CCG Class descriptions.
The CCG software analysis provided a summary output file with one record per episode of care. For example, a claims stream for one patient that resulted in the primary diagnosis of acute myocardial infarction could have resulted in one Specialty Category episode (Disease of the Circulatory System), several CCG Category episodes (e.g., atherosclerotic coronary vascular disease, hypertension, disorders of heart valve) and many more CCG Class episodes within each CCG Category (e.g., the CCG Category atherosclerotic coronary vascular disease may have shock, ischemic heart disease and acute myocardial infarction included as its CCG Class episodes of care).
Ingenix Inc. has evaluated its CCG software performance against a sample of 450,000 members obtained from twelve health plans [Valdivia and Van Vorst, 2000]. Of 2.3 million medical and pharmacy claim records, 84% were grouped into clinical care groups. The proportion grouped represented 90% of the total costs paid by the health plans. A greater percentage of the medical claims were grouped (91%) compared to pharmacy claims (72%) which represented 93% and 77% of total costs for medical and pharmacy claims, respectively
Decatur Study Population Although chemical production at Decatur began in 1961, our initial study
population consisted of all full-time and inactive employees at the Decatur site as identifiecMn the 3M Epidemiology's work history database for Decatur as of January 1, 1993. There was a one-year eligibility employment criterion to be included in this
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database. All employees hired subsequently were included in the study as long as they met the criterion to be eligible for this database. In other words, employees who worked for less than one year during the study time period were not included in this analysis. Employees hired, terminated (voluntary or involuntary termination) or died while employed from the company during the study (1/1/93 through 12/31/98) had their Decatur episodes of care experience limited to their Decatur time of employment. Full time active employees who retired during the study period continued to have their episodes of care experience examined through the end of study; Medicare, however, becomes the employee's primary provider upon the employee's 65th birthday and thus Ingenix did not have most of these Medicare claims. Similarly, claim records for employees who went on long term disability (LTD) were covered primarily by Medicare after 18 months of LTD status. There were some employees (n < 40) who chose HMO coverage between 1996 and 1998. HMO records were not incorporated in the Ingenix database coverage for the Decatur site. Altogether, there were 1,311 Decatur employees (97%) eligible for the episode of care analysis during the 1993 -1998 time period.
Analysis of the episode of care experience was examined by whether the employee was considered a chemical plant or film plant employee. Each employee's work history record was examined by the investigators (JMB, GWO, MMB) to determine whether the employee: 1) ever worked in the chemical plant, film plant or both; 2) worked in the chemical plant, film plant or both during the study time period of January 1,1993 through December 31,1998; and 3) worked continuously in the chemical plant or film plant for the entire 10 years prior to the onset of the study time period, January 1,1993 ('long-term' workers). For those employees who had work experience in
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both the chemical and film plants, records were reviewed to identify which plant each employee primarily worked at in his or her career at the 3M Decatur site. Both chemical and film plant employees were categorized in the analyses as to whether they have, or have not, worked in both plants. The majority of film plant employees with prior work experience in the chemical plant worked at the chemical plant for a brief period of time (1 to 3 months) and this usually occurred during the first year of their employment. These employees were categorized as film plant employees. Likewise, the majority of chemical plant employees with prior work experience in the film plant worked at the film plant for a brief period of time and this usually occurred during the first year of their employment. These employees were categorized as chemical plant employees. Employees who had site-wide responsibilities (those who may work daily in both chemical and film plants, such as environmental, health and safety specialists) were assigned to the chemical plant because of their greater likelihood of exposure to POSF-based chemicals than those employees who only worked in the film plant.
Each employee was assigned a job title that described the person's usual job activity while a Decatur employee. These job titles were: boiler operator, environmental health and safety specialist, engineer, mill operator, maintenance, office worker, operator (e.g., cell, chemical), quality control worker, shipping clerk and supervisor. Based on the findings from the Decatur serum fluorochemical assessment study [Olsen et al., 1999], three subcohort groups were categorized as to their potential for high, low and minimum/nonexposed POSF-based exposure.. These were the same categorizations used in the Decatur retrospective cohort mortality study [Alexander, 2001b]. For example, cell operators, chemical operators and maintenance workers at the chemical plant were
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categorized as high exposure. Engineers and laboratory workers at the chemical plant were categorized as low exposure. Film plant workers were categorized as minimal/nonexposed.
Four study employee comparison groups were identified for the episodes of care analyses. The rationale for these four categories was to increase the likelihood of the chemical plant cohort to have long-term high fluorochemical exposure jobs. These four comparisons were:
Group A Comparison: all chemical plant employees with or without prior film plant experience (n = 652) compared to all film plant employees with or without a prior chemical plant experience (n = 659).
Group B Comparison: all chemical plant employees who never worked in the film plant (n = 388) compared to all film plant employees who never worked in the chemical plant (n = 424). Group B is a subset of Group A.
Group C Comparison: all high (defined above) fluorochemical exposure chemical plant employees (n = 498) compared to their job counterparts (considered least exposed) in the film plant, (n = 490). Group C is a subset of Group A.
s'
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Group D Comparison: all long-term (defined above), high fluorochemical exposure chemical plant workers (n = 211) compared to their job counterparts (considered least exposed) in the film plant (n = 345). Group D is a subset of Group C, which is a subset of Group A .
Ingenix Databases and Data Extraction
Aside from developing the CCG product, Ingenix also provides data warehouse, reporting, consulting and analysis to 3M. On a quarterly basis, Ingenix receives member eligibility information, as well as, medical and prescription claim detail from each one of 3M's benefit plan vendors. Ingenix then uses this data to create the following databases:
The Medical Focused Database provides access to the highest level of detail for both inpatient and outpatient data. The database is comprised of individual service records, meaning that every line item on each claim is broken out into its own individual record. This would allow you to drill down, for example, to a specific service provided by a specific physician for a specific patient on a specific day.
The Monthly Cost and Utilization (MCU) Database contains summarized claim data. Claims are aggregated in a fashion that allows a customer to easily report by grouping meaningful to the customer, such as by location or aggregations of location, by paid and incurred month, and by service categories.
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The Inpatient Confinement Database is the result of Ingenix methodology which links all services related to a hospital confinement and groups them into one record. The record contains a host of information necessary for analysis of inpatient services, including, but not limited to, length of stay, MDC, DRG, major specific diagnosis, surgery performed, and physician and facility provider.
Prescription Drug Database is designed to capture drug specific details available from prescription mail order and drug card plans. The drug database includes claimant and expense information, prescription number, physician DEA number, pharmacy number and type, an indicator to identify how and why the drug was dispensed, and the National Drug Code (NDC). Additionally, Ingenix adds information specific to the particular drug that was dispensed that is not supplied by the vendor. This information is taken from First Databank's National Data File (NDDF), which includes: Blue Book Average Wholesale Price (AWP) Federal Maximum Allowable cost (MAC Price) Controlled Substance Indicator Brand/Generic Indicator
The Eligibility Database is derived from 3M's enrollment data. The Eligibility database provides a routine way to access population, either on a summarized level or by individual member. Furthermore, enrollment data can be used in conjunction with other Ingenix databases to produce information such as admission rates, services per employee or covered life, and average benefits per employee or member.
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Extracts from the above medical and prescription drug databases were created for the entire 3M population (employee data and claim experience only). These extracts were tested against the source databases to ensure that the population subset for the extraction was correct. The testing method involved running various statistical reports (e.g. number of claimants, dollars paid, dates of service) from both the source and extracted data. Once the quality assurance checks had been satisfactorily completed, the extracted data was then run through the CCG grouping software to create the 3M specific episodes of care for the six-year study period.
Data Analysis Because of confidentiality concerns regarding employee medical information, the
Ingenix investigators were the only researchers who knew the identification of the employees' episodes of care experience. Each study cohort's personal identifiers were provided to Ingenix for record linkage purposes to determine and extract the reported number of health claims per covered employee. For each person within each cohort (chemical or film, groups (A-D), Ingenix determined, based on the eligibility database described above, whether or not the person belonged to a 3M sponsored health plan that could result in the possibility of claims, regardless of type, for the 72 month study period (1993-1998). The actual number of days (i.e., time) in which an employee was enrolled within the company health plans was not known. We only knew whether employees were eligible on a month to month basis via the data available through the Ingenix EligibilityTDatabase. Therefore, we chose to examine the comparison of episodes of care experience between chemical and film plant to have a Poisson distribution and then
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subsequently compared the ratio of these two Poisson variables via the methods outlined by Ederer and Mantel [1974].
The observed number of claims based on the CCG algorithm for the Specialty Category, Category and Class descriptions was compared to an expected value using indirect standardization methods [Tsai and Wen, 1986] to adjust for three age categories (<40,40-49 and >=50 years) and gender (male, female). Two normative databases were used to calculate the expected number of claims: 1) the entire U.S. 3M population health claims experience from 1993-1998 excluding the Cottage Grove and Cordova sites due to their fluorochemical production activities; and 2) the U.S. 3M population health claims experience from 1993-1998 excluding employees at the St. Paul, Woodbury, Cottage Grove, and Cordova sites. The latter database, hereafter called the 3M manufacturing plant normative database, provided a comparison database that was more representative of 3M manufacturing plant employees, in general, as it excluded the St. Paul 3M Center corporate and research employees. However, it also excluded the downtown St. Paul manufacturing plant as the 3M St. Paul manufacturing and corporate/research sites share identical location codes. [Note: A third normative database, which consisted of other companies that belong to the Ingenix aggregate database, was not considered appropriate because the different health insurance plans that these other companies use may greatly influence the type and degree of health care.] For each of the four comparison group's chemical and film plant populations, we calculated the observed and expected number of episodes of care experience for the CCG's Specialty Category, Category and Class description's.
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A Standardized Episodes of Care Ratio (SEPCR) was calculated separately for the chemical and film plants for each respective cohort. That is,
SEpCRchemical -- ZO ^ervedchem ical/EExpeC tedchem ical
SEpCRfjlm = Observedfllm/Expectedfiim
However, it is the ratio of the two plant indirect standardized ratios for each comparison group, which we defined as the Risk Ratio Episodes of Care (RREpC), provides the measure of risk between the two study populations. That is,
R R E p C = SEpC Rchem ical / S E p C R film
= [ZObservedchemicai/lExpectedchemicai] / [ZObservedfilm/EExpectedfilm]
This direct comparison of two indirect standardized ratios is an unbiased estimator of the risk ratio (i.e., relative risk) if there are similar age-specific structures between the two comparison populations [Tsai and Wen, 1986]. Because the chemical and film plant cohorts had slightly different age structures used for the indirect standardization, the ratio of the two indirect standardized ratios for the chemical and film plant populations was not necessarily directly comparable. Therefore, we used the methods by Tsai and Wen [1986] to compare whether the ratio of two indirect standardized ratios, corrected for their age structure, was similar to an unadjusted ratio of
.s'
two indirect standardized ratios. That is,
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RREpCcorrected -- SEpCRchemical-corrected^ SEpCRfiim-corrected
where
SEpCRchemical-corrected = O b serv ed ch em ica l/^ E x p eC ted c hemical-corrected
and
SEpCRfiim-corrected = X O b s e r v e d f,im/X E x p e c t e d f 1iin.Corrected
The age- and gender- adjusted S E p C R chemicai-corrected is the sum of the age-specific episodes of care for the chemical plant standardized to the sum of the chemical and film plant expected episodes of care. Likewise, the age- and gender-adjusted SEpCRfnm.corrected corrected is the sum of the age-specific episodes of care for the film plant standardized to the sum of the chemical and film plant expected episodes of care. It is important to note that each SEpCRcorrected is not meaningful by itself, only their ratio, R R E p C COrrected, which is an unbiased estimator of th relative risk [Tsia and Wen, 1986].
Although Tsai and Wen [1986] suggested that a 95 percent confidence interval (95% Cl) of RREpCConected can be readily calculated using the procedures developed by Ederer and Mantel [1974] for the ratio of two Poisson variables, such methods, in fact, cannot be used without great difficulty. Unlike RREpC which is a ratio of two Poisson variables (XObservedchemicai /]TObservedf,im) multiplied by a constant (XExpectefiim/XExpectedchemicai). the calculation of a confidence interval for
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RREpCcorrected is not readily apparent as each Observedcorrected-chem/Observedcon-ected-fiim subgroup is not a Poisson variable and neither is their sum.
Consequently, our analysis strategy was to calculate both a RREPC and a RREpCcorrected- If the two risk ratios were comparable, which we suspected they would be given the fact that the chemical and film plant age structures were not substantially different, then we assumed that RREPC was a minimally biased risk ratio estimate and we calculated the 95% Cl of RREpC using the methods of Ederer and Mantel [1974]. Cumulative binomial tables [Documenta Geigy, 1967] were used to calculate the 95% Cl when the number of total observations was less than 30. We used the normal approximation to the binomial when the total number of observations was greater than or equal to 30. RREpC and RREpCCTwere not calculated when there were two or fewer total observed episodes of care for the chemical and film plants combined.
RREpC may be greater than the null hypothesis (as defined in this study as the exclusion of the null hypothesis value (1.0) from the 95% Cl for three possible reasons. An increased RREpC may be due to: 1) a greater observed to expected episode of care experience in the chemical plant (than compared to the film plant); 2) a greater expected than observed experience in the film plant (than compared to the chemical plant) or 3) a combination of both 1 and 2. In other words, the first instance occurs when SEpCRchemicai is > 1.0 and SEpCRfum is >1.0, but if SEpCRfumis > 1.0 it is still less than SEpCRchemicai- The second instance occurs when SEpCRchemicai is <1.0 and SEpCRf,im is < 1.0 but if SEpCRchemicai is < 1.0 it is still greater than SEpCRf,im. The potential for the greatest magnification of the RREpC may occur in the third instance when SEpCRchemicai is > 1.0 and SEpCRf,imis < 1.0 The RREpC that is increased in the first instance might be
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attributed to the possibility of potential workplace exposure in the chemical plant whereas the RREPC that is increased in the second instance may be due to an unexplained less than expected number of observed episodes of care in the film plant (and not as the possibility of potential workplace exposures in the chemical plant). The third instance may be the possibility of either or both explanations.
RESULTS Presented in Table 1 are the demographic characteristics of the four study group
comparisons. Among all 1,311 study subjects (study group A), 36 percent of the 659 film plant workers were 50 years of age or older compared to 53 percent of the 659 chemical plant workers. Sixty percent of the employees had worked only in the chemical plant (n = 388) or only in the film plant (n = 424). This was defined as study comparison group B. Seventy-six percent (n = 498) of the 652 chemical plant employees worked in a job(s) with a high potential for POSF-based exposure. This defined study comparison group C. Among the 211 long-term high exposure chemical employees, comprising study comparison group D, 61 percent had worked only in the chemical or film plant since 1983.
Provided in Table 2 is the employment status at the beginning and end of study for comparison group A stratified by gender. For all 1,311 study subjects, 31 percent of the chemical plant and 26 percent of the film plant employees were not yet hired as of the study onset (January 1, 1993). By the end of the study (December 31,1998), 78 percent of the chefhical plant employees were actively employed and 11 percent had retired. Among the film plant employees, 71 percent were actively employed and 17 percent had
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retired. Percentages of inactive, terminated, deceased and transferred employees were comparable between the chemical and film plant employees. Provided in Tables 3 through 5 are similar percentages for the comparison groups B through D. Because of its definition of long-term workers since 1983, it is to be expected that comparison group D had the highest percentage (24 percent) of any comparison group for the number of retired employees at end of study.
Presented in Appendix A is the employment status for each comparison group (A through D) by individual year (as of January 1st). The number of active chemical plant employees was relatively constant (i.e., never varied by more than 7 employees between years) until 1997 when there was an increase of 83 employees form January 1,1997 to January 1,1998 (19 percent increase). During the six year study time period the number of film plant employees never varied by more than 30 employees between any two successive years.
The ratio of total number of outpatient to inpatient claims per plant within each comparison group (A-D) was greater than 150 to 1 (Table 6). For each comparison group, the average number of outpatient claims per person per year was higher among film plant employees compared to chemical plant employees. The average number of inpatient claims was comparable.
Provided in Tables 7 through 10 are the observed and expected numbers of episodes of care by plant for the CCG Specialty Category, Category and Class descriptions for the four study comparison groups A through D, respectively. The expected results were slightly Higher when the 3M manufacturing population was used but this was true for both chemical and film plant populations; thus the RREpC and
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R R E p C Cr were similar regardless of which normative population was used. Therefore, for purposes of brevity we have only shown the analyses when the 3M manufacturing normative population was used. Presented in tables 7 through 10 are the number of unique individuals who constituted the total number of episodes of care for each CCG description. The RREPC and RREpCcr were comparable for most CCG descriptions and therefore the results will focus on the RREpC and its 95% Cl. The CCG Specialty Categories are presented in a hierarchical order similar to ICD-9 codes, beginning with Infectious Diseases, then Cancers and Benign Growth, Endocrine Disorders, etc. Twenty Specialty Categories are presented (bold print) which are then subdivided into 97 Categories (directly under Specialty Category description) and these are further subdivided into Classes (indented under the Category description in the tables). For the Specialty Category of Cancers and Benign Growth, all Categories and Classes are presented. For the remaining Specialty Categories, all CCG Categories are presented but not all Class descriptions (although all Class descriptions provided by the CCG grouper were analyzed). In particular, Class descriptions were generally not provided under those Specialty Categories that had no a priori hypotheses (e.g., Psychiatric Disorders, Cardiovascular Disorders, Dermatologic Disorders, Musculoskeletal Disorders). RREpC and RREpCcr were not calculated when there were two or fewer total observed episodes of care for the chemical and film plants combined.
For study comparison group A (Table 7), there were 10,608 episodes of care (sum of the 20 Specialty Categories) for the 652 chemical plant employees during the six year study perrd (average of 2.7 episodes of care per chemical plant employee per year). For
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the 659 film plant employees, they had 11,957 episodes of care (average of 3.0 episodes of care per film plant employee per year).
In Table 7, the Specialty Category of Cancers and Benign Growths had an RREPC of 1.3 (95% Cl 1.1-1.6). Within its Categories, neoplasms of the male reproductive system had an RREpC of 10.0 (95% Cl 1.3 - 447). This RREPC was the consequence of a disparity in observed to expected episodes of care of malignant neoplasms of the prostate in chemical and film plant employees. There were 5 observed versus 3.1 expected episodes of care of malignant neoplasms of the prostate among the chemical plant employees compared to 1 observed and 4.7 expected episodes of care in the film plant.
The RREpC was 1.5 (95% Cl 1.0-2.2) for neoplasms of the gastrointestinal tract (Table 7). More than eighty percent of these gastrointestinal tract episodes of care for both the chemical and film plant were for benign colonic polyps. There was an increased RREpC for both malignant neoplasms of the colon (5.4, 95% Cl 0.5-265) and malignant neoplasms of rectum and anus (1.8, 95% Cl 0.3-12.4). There was a total of 5 unique chemical plant employees who constituted the 8 episodes of care for these two conditions.
Neoplasms of skin had an RREpC of 1.3 (95% Cl 1.0-1.6). This increased RREpC was due to RREpCs for malignant melanoma of the skin (>2.3, 95% Cl 1.0-63) and benign neoplasms of skin (1.3, 95% Cl 0.9-1.7).
Among the Specialty Category of Endocrine Disorders, the Category of diabetes Type I with complications had an RREpC of 5.1 (95% Cl 0.5-247), which was due to the disparity of more observed than expected episodes of care in the chemical plant and vice versa in the film plant. However, the RREPC for Diabetes Type I without complications
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was not elevated (1.0, 95% Cl 0.4-2.6). There was no increased RREPC found for the Categories of disorders of the thyroid (1.1, 95% Cl 0.6-1.8), lipid metabolism (1.0, 95% Cl 0.8-1.3) or other endocrine or nutritional disorders (1.0, 95% Cl 0.7-1.3). Although there were few episodes of care for disorders of the liver (Specialty Category is Gastrointestinal Disorders), there was an increased RREpC for cholelithiasis with acute cholecystitis (8.6, 95% Cl 1.1-380.7) under the Category of disorders of the biliary tract (1.7, 95% Cl 0.8 - 2.9). The elevated RREpC for cholelithiasis with acute cholecystitis was the consequence of observed to expected disparities between the chemical and film plant populations. No other class description regarding cholecystitis or chloelithiasis had an RREpC that excluded the null hypothesis. Episodes of care for acute pancreatitis was elevated among chemical plant employees (2.6, 95% Cl 0.6-16). All six episodes of care were from one unique individual.
In Table 7, the Specialty Categories of Cardiovascular Disorders, Pulmonary Disorders, Ear, Nose and Throat Disorders and Urologic Disorders did not have any RREpC with a 95% Cl that excluded the null hypothesis. The highest RREpC was for the Category descriptions of disorders of renal function (3.1, 95% Cl 0.5-32.9) and disorders of renal parenchyma (3.7,95% Cl 0.3-192). Again, these were based on a disparity of observed and expected values between the chemical and film plant populations. The Category of lower and unspecified urinary tract infections had an RREpC of 1.3 (95% Cl 1.0-1.6) with RREpCs for the Class descriptions of cystitis of 1.5 (95% Cl 1.0-2.2) and urinary tract, unspecified of 1.1 (95% Cl (0.8-1.6). Whereas the prevalence of unique individuals'with an episode of care of cystitis was higher film plant employees (31/659 = 4.7 percent) compared to chemical plant employees (19/652 = 2.9 percent), the
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recurrence of the episodes of care of cystitis was much higher among chemical plant employees (66%) compared to film plant employees (22%) and this was the result of a greater percentage of recurrence among female chemical plant employees. Of the 56 observed episodes of care for cystitis among chemical employees, 50 (89 percent) belonged to 14 (74 percent) female employees (data not shown) of the 19 total unique individuals who had such episodes of care. Of the 40 observed episodes of care for cystitis among the film plant employees, only 21 (52 percent) belonged to the 15 (48 percent) female employees (data not shown) of the 31 total unique individuals who had such episodes of care. The recurrence of the lower urinary tract, not specified infections was comparable between chemical and film plant employees as well as between female chemical and film plant employees. There was not an increased RREpC for calculi of the upper urinary tract (1.0, 95% Cl 0.8-1.4).
In Table 7, the Specialty Categories of Gynecologic and Reproductive Disorders, Pregnancy, Congenital Anomalies and Perinatal Disorders did not have any RREpC with a 95% Cl that excluded the null hypothesis. The highest RREpC (3.6, 95% Cl 0.5-172) was for the Class description of preterm labor (Category is complicated pregnancy or delivery under the Specialty Category of Pregnancy). This RREpC was the result of 7 episodes of care from 3 unique chemical plant employees.
Among the Miscellaneous Specialty Category in Table 7, there were no substantial differences for signs and symptoms (abdominal pain, chest pain, fever, headache with radiology, malaise, syncope, and ill-defined signs and symptoms) between episodes o f care observed for the chemical and film plant employees.
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Comparable RREPC results were observed when the entire study population was restricted to those employees who had only worked in either the chemical plant or film plant but not both (study comparison group B, Table 8). It should be noted that, unlike Table 7, the RREPC for lower and unspecified urinary tract infections excluded the null hypothesis (1.5,95% Cl 1.1-2.1). The percentage of chemical plant employees with recurrence of episodes of care for cystitis was 72 percent compared to 26 percent for film plant employees. Also observed was a higher RREpC for the Category of menopausal and menstrual disorders (2.0,95% Cl 1.1-4.0).
The episodes of care data presented in Table 9 are of those employees who were identified to have worked in high potential fluorochemical jobs (e.g., cell operators, chemical operators) in the chemical plant and were compared to their job counterparts (film operators, process operators) in the film plant (i.e., study comparison group C). The RREpC for the Specialty Category of Cancers and Benign Growths was 1.8 (95% Cl 1.2 3.0). CCG Categories that contributed higher RREpCs included those reported previously in Tables 7 and 8: 1) neoplasms of the gastrointestinal tract (1.8,95% Cl 1.2-3.0); neoplasms of the skin (1.1,95% Cl 0.8-1.5); and neoplasms of the male reproductive tract (7.6,95% Cl 0.9-359). Only one Class description, benign colonic polyps, had an RREpC which excluded the null hypothesis in its confidence interval (1.9,95% Cl 1.1 3.2). Increased RREpCs that did not exclude the null hypothesis in the 95% Cl included malignant neoplasms of colon (4.5, 95% Cl 0.4-238), malignant melanoma of the skin (>2.5, 95% Cl 0.8-51.0), malignant neoplasms of prostate (6.7,95% Cl 0.6-325). and benign ovarian cysts (2.6, 95% Cl 0.6-15.1).
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Of the non-cancer Specialty Categories presented in Table 9, only two contained a Category or Class description whose RREPC excluded the null hypothesis in its 95% CL In the Specialty Category of Psychiatric Disorders, the Category of affective disorders had an RREPC of 1.4 (95% Cl 1.1-1.9). In the Specialty Category of Gastrointestinal Disorders, the Class description of cholelithiasis with acute cholecystitis had an RREpC of 9.2 (95% Cl 1.2-407). Again, this was the result of a greater number of observed episodes of care than expected among chemical plant employees (7 versus 2.5) compared to fewer observed than expected episodes of care (1 versus 3.2) among film plant employees. Unlike the results in Table 8, we did not observe an increased RREpC for the Category of menopausal and menstrual disorders (1.1, 95% Cl 0.7-2.0).
Provided in Table 10 are the episodes of care analyses for those long-term high exposure job employees in the chemical plant along with their counterpart long-term (least exposed) employees in the film plant (study comparison group D). The Specialty Category of Cancers and Benign Growths continued to have an increased RREpC which excluded the null hypothesis in its 95% confidence interval (1.6, 95% Cl 1.2-2.1). As seen previously with the other study comparison groups (Tables 7-9), increased Category RREpCs (under the Specialty Category of Cancers and Benign Growths) were observed for neoplasms of the gastrointestinal tract (2.9, 95% Cl 1.7-5.2), neoplasms of the male reproductive tract (9.7, 95% Cl 1.1-458), and neoplasms of skin (1.2, 95% Cl 0.8-1.9). Increased Class RREpCs were observed for malignant neoplasm of colon (>3.8, 95% Cl 0.9-60.0), malignant neoplasms of the rectum and anus (> 5.0, 95% Cl 0.9-62.0), benign colonic polyps (2.4,95% Cl 1.3-4.5), malignant melanomas of the skin (>3.0, 95% Cl 0.8-52) and malignant neoplasms of the prostate (8.2, 95% Cl 0.8-399). Except for
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benign colonic polyps, these Classes had three or fewer episodes of care among chemical plant employees.
Non-cancer Categories which had a 95% Cl that excluded the null hypothesis in Table 10 included disorders of the pancreas (6.4, 95% Cl 1.2-63), which was due to acute pancreatitis (5.5, 95% Cl 1.0-56). As mentioned previously, the six episodes of care for acute pancreatitis were from one individual. The Category of lower and unspecified urinary tract infections also excluded the null hypothesis (2.2,95% Cl 1.4-3.3). Increased RREpC were observed for both the episode of care described as cystitis (2.4,95% Cl 1.2 4.8) and that of urinary tract infection, not specified (2.1,95% Cl 1.2-3.5). The percentage of recurrence of cystitis was greater among chemical plant (61 percent) than film plant 24 percent) employees. Class descriptions that had a null hypothesis excluded in the 95% Cl of its RREpC were cholelithiasis with acute cholecystitis (>4.0,95% Cl 2.1-128) and abdominal pain (1.6,95% Cl 1.2-2.1) under the Category of symptoms or signs (1.2,95% Cl 1.1-1.4) of the Specialty Category described as Miscellaneous (1.2, 95% Cl 1.1-1.4). All other Class descriptions under the Category symptoms or signs had RREpCs that were at or greater than the null hypothesis although none had 95% CIs that excluded the null hypothesis.
Table 11 provides a summary of the Specialty Categories, Categories and Classes which had an RREpC that excluded the null hypothesis in the 95% confidence interval for at least one of the four comparison groups, A through D, as discussed above in Tables 7 through 10. The only CCG description that had the null hypothesis excluded in all four comparison groups was the CCG Specialty Category of Cancers and Benign Growths.
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The episode of care concept does not translate into a well-defined epidemiologic
measure. An episode of care may include incident cases (i.e., newly diagnosed cases),
prevalent cases (existing cases), tentatively diagnosed cases and misclassified cases that
are the routine consequence of the differential diagnoses that individuals may undergo in
the course of disease diagnosis, treatment and management. Acute episode of care
conditions may include the same individual multiple times. Therefore a large RREpC
may not infer a high incidence risk. Likewise, a high RREpC could be masked as a
consequence of a large observed to expected ratio in the film plant that is not the result of
incident episodes of care although the numerator (chemical plant) is. The number of
episodes of care can also be influenced by the practice patterns of the local medical
community and the varying health plans available to members of the community.
Episodes of care are hierarchical. Therefore, one person may contribute episodes of care
to several Classes which represent fewer Categories of the same Specialty Category. All
of these are constraints to the use of episodes of care methodology in occupational
epidemiology investigations.
On the other hand, episodes of care may be considered a reasonable screening
method for the potential risk of diseases and/or conditions when there are two study
populations from the same company, covered by the same medical plan, who live within
the same community, and who differ primarily only in their workplace exposure. This
scenario existed with the employees at 3M's Decatur manufacturing site.
We'addressed POSF-based workplace exposure with the construction of the four
study comparison groups. We were able to subdivide the study population into those
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employees who were primarily in the chemical or film plants throughout their Decatur career (comparison group A), only in the chemical or film plants throughout their career (comparison group B), those who had worked in a high potential exposure job (comparison group C), and those who had worked long-term (at least 10 years prior to the onset of the study) in a high potential exposure job (comparison group D).
Our study included individuals who were on long-term disability at the beginning and throughout the course of the study time period as well as those employees who retired subsequent to January 1, 1993. We recognize that neither of these groups provided a comprehensive episodes of care assessment due to the eligibility criteria for Medicare. Medicare does not cover employees'long term disability claims until 18 months after diagnosis. Thus, employees who went on long term disability during the course of the study would have had their initial disease or condition identified through company claims data. This may not be true, however, for the 20 chemical and 26 film plant employees who were already on long-term disability at the onset of the study (Table 2). The majority of employees during the course of the study retired prior to age 65 and therefore their health claims would have been considered in the construction of the episodes of care through age 64.
Our a priori interests included liver and bladder cancer, endocrine disorders involving the thyroid gland and lipid metabolism, gastrointestinal disorders of the liver and biliary tract, and reproductive, pregnancy, congenital and perinatal disorders. Because of the many multiple comparisons which were not of a priori interests, chance findings might arise, although this assumes the universal null hypothesis (i.e,. that chance is the first-order explanation for all observed phenomenon) [Borak and Bidulescu, 2000;
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Rothman, 1992], We agree with Rothman's treatise [1990] that it is preferable not to provide adjustments for multiple comparisons in empirical research because it may lead to fewer errors of interpretation when the data are not random, but instead actual observations of nature. The intent of this study was to use the episodes of care methodology as a screen for morbidity outcomes associated with long-term high exposure to POSF-based production. An adjustment procedure would only increase the type II error for those associations that are not null and thereby we could dismiss non a priori findings that should require further insight.
A major a priori consideration was the bladder cancer association (3 observed 0.2 expected among a high POSF-exposed subcohort) reported in the Decatur retrospective cohort mortality study [Alexander, 2001b]. Two of these employees had also worked in the film plant during the course of their Decatur career. In our study, we observed no episodes of care for neoplasm of the bladder among chemical plant employees and one among the film plant employees. A review of the inpatient, outpatient and pharmacy claims confirmed this was a bladder cancer diagnosis during the course of the study. Because of confidentiality requirements, we do not know the specific jobs this person performed although our data did provide this was a female employee not employed as a film plant production operator or maintenance worker since this episode of care of bladder cancer was not reported for comparison groups C or D. It is not possible for this episode of care of bladder cancer to be one of the three employees who had died from bladder cancer in the mortality study as these three individuals had either quit or retired from the company prior to the onset of our study.
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Among the Specialty Category of Urologic Disorders, we did observe a higher RREpC for disorders of renal function, renal parenchyma and lower and unspecified urinary tract infections. Among the latter, the percentage of episodes of care that represented recurrences was higher among all chemical plant employees (55 percent) compared to all film plant employees (38 percent). Among long-term high exposed employees, this recurrence percentage increased to 59 percent among the chemical plant employees with episodes of care for lower and urinary tract infections compared to 31 percent among film plant employees. Although the RREpC was 2.2 (95% Cl 1.4-3.3), the question then arises as to whether this two-fold increase is a result of non-related occupational factors associated with recurring lower urinary tract infections in the chemical plant employee population or as a consequence of an ongoing workplace exposure. Female chemical plant employees had a greater proportion of recurrence than female film plant employees. Nevertheless, the prevalence of episodes of care of the Category defined as lower and unspecified urinary tract infections was comparable for the unique long-term, high exposure chemical plant employees (20/211 = 9.5 percent) and the film plant employees (34/345 = 9.8 percent). There was no increased risk observed for upper urinary tract calculi. Laboratory results have not suggested animals were at increased risk for urinary tract infections in either a 2-year feeding study of rats or a 6-month feeding study of cynomolgus primates for PFOS [3M Company, 2000]. A major exposure route for serum PFOS levels assayed in Decatur employees, however, is the inhalation of POSF [Logan et al, 2001]. To date, there is minimal information regarding the toxicology of POSF via inhalation. Urinalysis findings have not been
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reported in previous medical surveillance reports on this plant population [Olsen et al, 1999],
The increased RREpC for the Specialty Category of Cancers and Benign Growths was primarily attributed to neoplasms of the gastrointestinal tract and neoplasms of the skin. No episode of care of malignant neoplasm of the liver was reported among chemical plant employees compared to one episode of care in the film plant. Among all study subjects, the observed to expected number of benign colonic polyps was twice the expected for the chemical plant (48 versus 24.6) and forty percent higher than expected among film plant employees (47 versus 33.7). Whether this was the result of increased incidence, prevalence and/or that of heightened awareness through a screening program is not certain. We are aware that a chemical plant manager was diagnosed with colorectal cancer in 1997 and this may have heightened increased awareness among some employees for colorectal cancer screening in the latter two years of this study (Table 12). It should be noted that the RREpC for benign colonic polyps was increased for high exposure employees (1.9, 95% Cl 1.1-3.2) and for those long-term high exposure chemical plant employees (2.4, 95% Cl 1.3-4.5). The frequency of adenomatous polyps often parallels colorectal cancer incidence and colorectal cancer is generally not viewed as an occupational disease [Schottenfeld and Winawer, 1996]. In the updated retrospective cohort mortality study of this Decatur workforce there were no observed colorectal cancer deaths compared to 1.6 expected among employees ever employed in a high exposure job, 1 colorectal cancer death compared to 0.8 expected among employees ever employed in a low exposure job (but never a high exposure job) and 0 colorectal cancer deaths compared to 1.5 expected among employees who only worked in the film
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plant. There was no evidence reported of colorectal pathology in a six-month primate feeding study of PFOS [Seacat et al, 2001]. Results from a two-year PFOS bioassay study in rats is pending [3M Company, 2000] but there was no pathology reported in the interim 14 week analysis[Seacat et al, 2001].
The increased RREPC observed for neoplasms of the skin were primarily attributed by malignant melanoma of the skin and benign neoplasms. Exposure to sunlight is considered a major cause of malignant melanoma in susceptible populations [Armstrong and English, 1996]. There was no increased RREpC for nonmalignant melanomas of the skin (i.e., basal cell and squamous cell carcinomas). There was an increased RREPC for benign neoplasm of the skin. However, histopathology was not available and thus these benign neoplasm findings are difficult to interpret.
We did observe an increased RREpC for malignant neoplasm of the prostate among all subjects (10.0,95% Cl 1.3-447). This increased RREpC was largely due to a deficit of observed episodes of care among the film plant employees (1 observed versus 5.3 expected) rather than as a consequence of a large excess of observed episodes of care among the chemical plant employees (5 observed versus 3.1 expected). The total evidence suggests that a prior history of prostatic diseases may be associated with an increased risk of prostate cancer [Ross and Schottenfeld, 1996]. In our study we did not observe an increased RREpC with prostatic hyperplasia nor for acute prostatitis. Among the long-term high exposure comparison population, the RREpC for prostatic hyperplasia was 1.0(95% Cl 0.6-1.5) and for acute prostatitis the RREPC was 1.4 (95% Cl 0.9-2.2). In addition^ there were no observed deaths reported for prostate cancer in the 37 year follow-up of the retrospective cohort mortality study [Alexander, 2001b] at the Decatur
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site. Nor was there an increased SMR for prostate cancer mortality that was recently reported among Cottage Grove employees who historically have had the highest serum PFOA levels among the 3M fluorochemical manufacturing sites [Alexander, 2001a].
Decreased cholesterol was the most sensitive clinical response, occurring only at serum PFOS levels > 100 ppm, in a six month oral dosing study of cynomolgus primates [Seacat et al, 2001]. Although there was no Specialty Category, Category or Class descriptions for hypolipidemia in our study, we did not observe any decreased RREpCs for hyperlipidemia. Among long-term high exposed workers, the RREpC for hyperlipidemia was 0.9 (95% Cl 0.7-1.3). A lack of an association was expected as serum PFOS levels in these Decatur chemical plant employees have not been found to be generally above 10 ppm [Olsen et al, 2001] nor associated with decreased serum cholesterol in biennial medical surveillance examinations [Olsen et al, 1999].
Except for the episode of care described as cholelithiasis with acute cholecystitis, we observed no increased RREpC for other disorders of the biliary tract or for disorders of the liver. This single association was due to a combination of increased observed to expected episodes of care among the chemical plant employees (7 versus 4.2) and the opposite occurrence among film plant employees (1 observed versus 5.2 expected). This magnitude of association for cholelithiasis with acute cholecystitis remained for long term high exposed employees (RREPC > 4.0, 95% Cl 2.1-128). Laboratory evidence is unlikely to provide substantial additional perspective. The biliary tract of the rat is substantially different than humans. At necropsy, there were no gallstones reported in a 6 month feeding study of cynomolgus primates [Seacat et al, 2001].
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There was minimal evidence for an increased risk of episodes of care among female chemical employees for pregnancy outcomes and complications, congenital anomalies and perinatal disorders. The RREPC for preterm labor was 3.0 (95% Cl 0.3 144) based on 4 episodes of care. However, these 4 episodes of care arose from one employee. Although we observed an increased RREPC for menopausal and menstrual disorders among those employees who only worked in the chemical plant compared to their film plant counterparts, this association was based on observed to expected ratios that were less than one for both plants. This finding was not replicated among the analyses for the high exposed and long-term high exposed comparison groups.
Although we found no increased RREpC for Parkinson's disease, we were perplexed by the large number of unique episodes of care reported (17 chemical employees, 19 film employees) as the prevalence in the general population is estimated at 0.1 percent [Tanner and Goldman, 1996]. Our prevalence of episodes of care, based on these 36 unique episodes, was 2.8 percent. Further investigation revealed that the CCG grouping process for Parkinson's Disease took into account prescription drugs (via the CCG Drug Disease Matcher) as well as medical claims. An individual prescribed a drug that is considered a delineating drug for Parkinson's would be categorized as such in the episode of care algorithm although there was no ICD-9 code to substantiate a diagnosis. A review of the claims and pharmacy records of these 36 individuals revealed that only 5 individuals (3 chemical, 2 film) had outpatient claims with ICD-9 codes (332, 333) that would be consistent with a diagnosis of Parkinson's Disease. However, two of these five individuals' (both with ICD-9 codes of 333 and not 332) only had one claim for a prescription in this six year time period. Nineteen of the 36 individuals had their only
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episode of care as a prescription for amantadine hydrochloride. We suspect that these 19 were prescribed amantadine hydrochloride for its anti-influenza A effects. There were, however, no ICD-9 codes for respiratory claims within the 30 day time period of the prescription. Therefore, we can only suspect that these prescriptions were done without a face-to-face encounter. No single physician was the predominant prescriber of these prescriptions. Of the remaining 12 individuals, only three had multiple prescriptions for SinemetTM. The remaining nine were also identified with single prescriptions considered in the Drug Disease Matching program for Parkinson's Disease without any evidence of a face-to-face physician encounter. Therefore, we believe there was a minimum of 3 individuals (2 chemical, 1 film) and no more than 8 individuals (4 chemical, 4 film) that could have been diagnosed with Parkinson's Disease (4 chemical, 4 film) among the 36 individuals (17 chemical, 19 film) who were identified by the CCG grouper to have episodes of care for Parkinson's Disease. This assumption would represent a study population prevalence of 0.2 and 0.6 percent, respectively for Parkinson's Disease.
In summary, we conducted an analysis of the episodes of care of 652 chemical and 659 film plant employees at the Decatur manufacturing site from 1993-1998. Although the analyses of episodes of care does not translate into a well-defined epidemiologic measure, it can be used as a screening method to determine if a study population could be at an increased risk for a disease or condition. Our analysis was further limited by the study time period of six years, 1993-1998. Further investigation would always be required to determine whether an increase in incidence or prevalence actually exists based on the episodes of care reported. In our study the overall episodes of care experience was comparable between chemical and film plant employees for most
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Specialty Categories, Categories and Class diseases and conditions. Where increased RREpCs were observed, they were often attributed to a deficit of observed episodes of care in the film plant as much as any observed excess of episodes of care in the chemical plant. These high RREPC values often had very wide 95% confidence intervals which did not exclude, or barely excluded, the null value. Of our a priori concerns, we did not observe positive associations that excluded the null hypothesis for malignant neoplasm of the liver, liver disorders, thyroid and lipid metabolism disorders and reproductive, pregnancy, congenital and perinatal disorders. We did observe an association with cholelithiasis with acute cholecystitis; this was due, in part, to a greater than expected number of episodes of care in the film plant. Other biliary tract disorders did not exclude the null hypothesis in the confidence interval.
Because of the previously reported increased mortality risk for bladder cancer among the chemical plant employees, we focused particular attention on episodes of care which involved the urogenital tract. We found one episode of care for bladder cancer reported for a film plant employee who had never worked in the chemical plant. We did observe a greater increased risk in episodes of care among chemical plant employees for lower urinary tract infections but this was largely due to increased percentages of these employees having recurring episodes of care, rather than a greater prevalence of individuals having episodes of care. This increased risk of episodes of care was greater among the long-term high exposure chemical plant workers. It is not known whether this recurrence is a result of occupational exposure or nonoccupational-related factors. Other associations observed, that were not a priori concerns, included increased risk of episodes of care for benign colonic polyps and malignant neoplasms of the colorectal
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tract as well as malignant neoplasms of prostate. Whether these associations have a biological rationale is questionable as other toxicologic and epidemiologic research does not offer support in relation to the serum PFOS and/or PFOA levels measured in Decatur chemical plant employees.
Acknowledgement The authors gratefully acknowledge the assistance of Dr. Timothy Church.
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REFERENCES
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Alexander BH (2001a). Mortality study of workers employed at the 3M Cottage Grove facility. Minneapolis:University of Minnesota (unpublished report) April 26,2001.
Alexander BH (2001b). Mortality study of workers employed at the 3M Decatur facility. Minneapolis:University of Minnesota (unpublished report) April 26, 2001.
Armstrong BK, English DR (1996). Cutaneous malignant melanoma. (In) Cancer Epidemiology and Prevention (second edition) , eds Schottenfeld D, Fraumeni JF. New YorkrOxford University Press, pages 1282-1312.
Borak J, Bidulescu A (2000). Some thoughts on multiple comparisons and their correction. OEM Report 14:65-71.
Cook JC, Murray SM, Frame SR, Hurtt ME (1992). Induction of Leydig cell adenomas by ammonium perfluorooctanoate: a possible endocrine-related mechanism. Toxicol Appl Pharmacol 113:209-217.
Biegel LG, Liu RCM, Hurtt ME, Cook JC (1995). Effects of ammonium
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Butenhoff J, Costa G, Clecombe C, Farrar D, Hansen K, Iwai H, Jung R, Kennedy G, Lieder P, Olsen G, Thomford P. Toxicity of ammonium perfluorooctanoate in cynomolgus monkeys after 26 weeks of oral dosing. St. Paul:3M Company (unpublished report).
Cave DG (1995). Profiling physician practice patterns using diagnostic episode clusters. Med Care 35:463-486.
Dang DK, Pont JM, Portnoy MA (1996a). Episode treatment groups: an illness classification and episode building system. Parti. M edlnt 1996 (March): 118-122.
Dang DK, Pont JM, Portnoy MA (1996b). Episode treatment groups: an illness classification and episode building system. Part II. Med Int 1996 (April):122-128.
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Fetter R, Shin Y, Freemen J, Averill R, Thomspon J (1980). Case mix definition by diagnosis-related groups. Med Care 18(2 suppl):l-53.
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Gilliland FD, Mandel JS (1993). Mortality among employees of a perfluorooctanoic acid production plant. J Occup Med 35:950-954.
Gilliland FD, Mandel JS (1996). Serum perfluorooctanoic acid and hepatic enzymes, lipoproteins and cholesterol: a study of occupationally exposed men. Am J Ind Med 129:560-568.
Greene SB, Gunselman DL (1984). Conversion of claims files to an episode data base: a tool for management and research. Inquiry 21:189-194.
Hombrook MC, Hurtado A, Johnson R: Health care episodes: Definition, measurement and use. Med Care Rev 1985;42:163-218.
Logan PW, Johnson TM, Olsen GW, Reagen WK, Mulhausen JR (2001). An industrial
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Assoc J (submitted).
Oboum JD, Frame SR, Bell RH, Longnecker DS, Elliott GS, Cook JC (1997). Mechanisms for the pancreatic oncogenic effects of the perixosme proliferator Wyeth14,643. Toxicol Appl Pharmacol 145:425-436.
Olsen GW, Gilliland FD, Burlew MM, Burris JM, Mandel JS, Mandel JH (1998). An epidemiologic investigation of reproductive hormones in men with occupational exposure to perfluorooctanoic acid J Occup Env Med 40:614-622.
Olsen GW, Burris JM, Mandel JH, Zobel LR (1999). Serum perfluorooctane sulfonate and hepatic and lipid clinical chemistry tests in fluorochemical production employees. JOEM 41:799-806.
Olsen GW, Burris JM, Burlew MM, Mandel JH (2000). Plasma cholecystokinin and hepatic enzymes, cholesterol and lipoproteins in ammonium perfluorooctanoate production workers. Drug Chem Toxicol 23:603-620.
Olsen GW, Logan PW, Hansen KJ, Simpson CA, Burris JM, Burlew MM, Vorarath SP, Venkateswarlu P, Schumpert JC, Mandel JH. Serum fluorochemicals in a random sample of production employees (2001). Am Ind Hyg Assoc J (submitted)
Rosen AK, Mayer-Oakes A (1999). Episodes of Care: Theoretical frameworks versus current operational realities. J Quality Improvement 25:111-128.
Ross RK, Schottenfeld D (1996). Prostate Cancer. (In) Cancer Epidemiology and Prevention (second edition) , eds Schottenfeld D, Fraumeni JF. New York:Oxford UniversityTress, pages 1180-1206.
Rothman KJ. No adjustments are needed for multiple comparisons. Epidemiology 1990;1:43-46.
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Schneider K, Linchtenstein J, Freeman JL, Newbold RC, Fetter RB, Gottleib L, Leaf PJ, Portlock CS (1988). J Ambulatory Care Manage 11(3)1-12.
Schottenfeld D, Winawer SJ (1996). Cancers of the large intestine. (In) Cancer Epidemiology and Prevention (second edition), eds Schottenfeld D, Fraumeni JF. New YorkrOxford University Press, pages 813-840.
Scotto J, Fears TR, Kkraemer KH, Fraumeni JF (1996). Nonmelanoma skin cancer. (In) Cancer Epidemiology and Prevention (second edition), eds Schottenfeld D, Fraumeni JF. New York:Oxford University Press, pages 1313-1330.
Seacat AM, Thomford PJ, Hansen KJ, Olsen GW, Case MT, Butenhoff JL (2001a).
Investigation of the no observable effect level for perfluorooctanesulfonic acid potassium
salt in cynomolgus monkeys after twenty-six weeks of oral dosing and one year of
recovery. Toxicol Sciences (submitted).
Seacat AM, Thomford PJ, Hansen KJ, Clemen LA, Case MT, Butenhoff JL (2001). Sub chronic dietary toxicity of potassium perfluorooctanesulfonic acid in rats. Toxicol Sciences (submitted).
Sibinski LJ (1987). Two-year oral (diet) toxicity/carcinogenicity study of fluorochemical FC-143 in rats. St. PaukRiker Laboratories.
3M Company (2000). SIDS Initial Assessment Report Pefluorooctane Sulfonic Acid and Its Salts. Minneapolis:3M Company, Sept 20, 2000.
Solon JA (1967). Delineating episodes of medical care. Am J Public Health 57:401-408.
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Tsai SP, Wen CP (1986). A review of methodological issues of the standardized mortality ratio (SMR) in occupational cohort studies. Int J Epidemiol 15:8-21.
Valdivia T, Van Vorst K (2000). Ingenix:Minneapolis.
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Wingert TD, Kralewski JE, Lindquist TJ, Knutson DJ (1995). Constructing episodes of care from encounter and claims data: some methodological issues. Inquiry 32:430-443 (Winter 1995/96).
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Table 1
3M Company
Demographic Characteristics of the Four Comparison Group Analysis Between Decatur Chemical and Film Plant Employees
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Study Group 1______ ______ Study Group 3______ ______ Study Group 5______ ______ Study Group 6
Variable N
Chemical \
^ 652
Film 659
Chemical 388
Film 424
Chemical 498
Film 490
Chemical 211
Film 345
Male Female
530 (81) 122(19)
558 (85) 101(15)
311(80) 77 (20)
364 (86) 60 (14)
423 (85) 75 (15)
425 (87) 65 (13)
196 (89) 15(11)
308 (93) 37(7)
Age (end of study) <30 30-39
40-49
50-59 >60
59(9) 124(19) 238(37) 182 (28) 49 (8)
36(5) 82 (12) 194 (29) 267 (41) 80 (12)
51(13) 83 (21) 118(30) 107 (28) 29(7)
34(8) 62 (15) 149 (35) 152 (36) 27(6)
43 (9) 104(21) 194 (39) 122 (25) 35(7)
19(4) 65 (13) 151 (31) 194 (40) 61 (12)
0(0) 1(0) 99 (47) 86 (41) 25 (12)
0(0) 10(3) 112(32) 173 (50) 50(15)
Average Age (yrs)
45.1
48.6
44.0 46.3
44.5 49.0
50.7 52.3
Only worked in Chemical Plant
High exposure job
388(60) 498(76)
424 (64) 508 (77)
388(100) 424 (100)
298 (77)
322(76)
298(60)
322(66)
498 (100) 490(100)
128 (61)
212(61)
211 (100) 345 (100)
Worked only in Chemical (or Film) Plant and, at least, from 1983 -1998
177 (27)
269 (41)
177(46)
269 (63)
128 (26)
212 (43)
128 (61)
212(61)
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Table 2
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Employment Status by Gender and Plant of Study Comparison Group A, January 1, 1993 and December 31, 1998
January 1, 1993 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
Male
361 (68) 12(2) 157 (30) 0(0) 0(0) 0(0) 0(0)
530 (100)
Chemical Female
66 (54) 8(7)
48 (39) 0(0) 0(0) 0(0) 0(0) 122 (100)
Total
427 (65) 20 (3)
205 (31) 0(0) 0(0) 0(0) 0(0)
652 (100)
Male
433 (78) 22(4) 103 (18) 0(0) 0(0) 0(0) 0(0) '
558 (100)
Film Female
69 (68) 4(4) 28 (28) 0(0) 0(0) 0(0) 0(0) 101 (100)
Total
502 (76) 26(4) 131(26) 0(0) 0(0) 0(0) 0(0) 659 (100)
December 31, 1998 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
419 (79) 17(3) 0(0) 62 (12) 18(3) 7(1) 7(1)
530 (100)
92 (75) 12 (10) 0(0) 10(8) 5(4) 0(0) 3(2) 122 (100)
511 (78) 29(4) 0(0) 72 (11) 23(4) 7(1) 10(2) 652(100)
396 (71) 26(5) 0(0) 105 (19) 17 (3)
8(1) 6(1) 558(100)
74 (73) 13 (13) 0(0) 7 (7) 5(5) 0(0) 2(2) 101(100)
470 (71) 39 (6) 0(0) 112(17) 22 (3) 8(1) 8(1)
659 (100)
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Table 3
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Employment Status by Gender and Plant of Study Comparison Group B, January 1, 1993 and December 31, 1998
January 1, 1993 Active Inactive Not yet hired Retired Terminated Deceased Transferred
TOTAL
Male
169 (54) 8(3)
134 (43) 0(0) 0(0) 0(0) 0(0)
311(100)
Chemical Female
33 (43) 3(4)
41 (53) 0(0) 0(0) 0(0) 0(0) 77 (100)
Total
202 (52) 11(3) 175 (45) 0(0) 0(0) 0(0) 0(0)
388(100)
Male
260 (71) 12(3) 92 (25) 0(0) 0(0) 0(0) 0(0) '
364 (100)
Film Female
36(60) 0(0) 24 (40) 0(0) 0(0) 0(0) 0(0) 60 (100)
Total
296 (70) 12(3) 116(27) 0(0) 0(0) 0(0) 0(0)
424 (100)
December 31,1998 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
243 (78) 12(4) 0(0) 37 (12) 11(4)
2(1) 6(2) 311(100)
58 (75) 7(9) 0(0) 8(10)
2(3) 0(0) 2(3) 77 (100)
301 (78) 19(5) 0(0) 45 (12) 13(3)
2(1) 8(2)
388(100)
289 (79) 17 (5) 0(0) 35 (10) 13(4) 4(1) 6(2)
364 (100)
49 (82) 7(12) 0(0) 0(0) 2(3) 0(0) 2(3)
60 (100)
338(80) 24 (6) 0(0) 35 (8) 15(4) 4(1) 8(2) 424 (100)
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Table 4
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Employment Status by Gender and Plant Comparison Group C, January 1, 1993 and December 31,1998
January 1,1993 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
Male
273 (65) 11(3)
139 (33) 0(0) 0(0) 0(0) 0(0)
423(100)
Chemical Female
35 (47) 7(9) 33 (44) 0(0) 0(0) 0(0) 0(0) 75(100)
Total
308 (62) 18(1)
172 (35) 0(0) 0(0) 0(0) 0(0)
490(100)
Male
323 (76) 20 (5) 82 (19) 0(0) 0(0) 0(0) 0(0) 425 (100)
Film Female
47 (72) 2(3) 16 (25) 0(0) 0(0) 0(0) 0(0)
65 (100)
Total
370 (76) 22(4) 98 (20) 0(0) 0(0) 0(0) 0(0) 498(100)
December 31, 1998 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
345 (82) 14 (3) 0(0) 42 (10) 15(4) 6(1) 1(0)
423 (100)
55 (73)
8(11) 0(0) 6(8) 5(7) 0(0)
1(1) 75 (100)
400 (80) 22(4) 0(0) 48 (10) 20(4) 6(1) 2(0)
490 (100)
299 (70) 24 (6) 0(0) 80 (19) 14 (3)
8(0) 0(0) 425(100)
47 (72) 9(14) 0(0) 4(6) 5(8) 0(0) 0(0)
65 (100)
346 (71) 33 (7) 0(0) 84 (12) 19(4) 8(0) 0(0) 498(100)
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Table 5
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Employment Status by Gender and Plant of Study Comparison Group D, January 1, 1993 and December 31, 1998
January 1, 1993 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
Male
195 (99)
KD
0(0) 0(0) 0(0) 0(0) 0(0) 196 (100)
Chemical Female
15 (100) 0(0) 0(0) 0(0) 0(0) 0(0) 0(0) 15 (100)
Total
196 (93) 15(7) 0(0) 0(0) 0(0) 0(0) 0(0)
211 (100)
Male
308 (100) 0(0) 0(0) 0(0) 0(0) 0(0) 0(0) -
308(100)
Film Female
37 (100) 0(0) 0(0) 0(0) 0(0) 0 (0) 0(0) 37 (100)
Total
345 (100) 0(0) 0(0) 0(0) 0(0) 0(0) 0(0)
345 (100)
December 31,1998 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
147 (75) 6(3) 0(0)
34 (17)
5(3) 4(2) 0(0) 196(100)
9(60) 1(7) 0(0) 5(33) 0(0) 0(0) 0(0) 15 (100)
156 (74) 7(3) 0(0) 39 (18) 5(2) 4(2) 0(0)
211(100)
212 (69) 13(4) 0(0) 74 (24) 5(2) 4(1) 0(0)
308(100)
25 (68) 7(19) 0(0) 3(8) 2 (5) 0(0) 0(0) 37 (100)
237 (69) 20(6) 0(0) 77 (22) 7(2) 4(1) 0(0) 345 (100)
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Table 6 Number of Inpatient and Outpatient Claims by Plant by Four Study Groups
1993 -1 9 9 8
3M Company EPI-0004
Page 57 o f 114
Cohort Size
Study Group A 652
Study Group B 388 Study Group C 498 Study Group D 211
Chemical Plant
Total Number of Claims
Average Person/Year
Inpatient Outpatient
Inpatient Outpatient
204 34,053
0.05 8.7
91 17,655
0.04 7.6
156 24,036
0.05 8.0
81 13,743
0.06 10.9
Cohort Size
659 424 490 345
Film Plant Total Number of Claims Inpatient Outpatient
237 40,174
152 24,051
183 30,010
131 23,572
Average Person/Year Inpatient Outpatient
0.06 10.2
0.06 9.5 0.06 10.2 0.06 11.4
Table 7
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3M Company EPI-0004
Page 58 o f 114
Observed, Expected and Unique Number of Individuals by Plant with Risk Ratios of Episode of Care (with and without correction factor) and 95% Confidence Interval of Risk Ratio (not corrected) for CCG Specialty Category, Category, and Class Descriptions
Study Comparison Group A (All Employee Study Subjects)
V
CCG Specialty Category, Category and Class Description
Chemical Unique Number of
Obs Exp Individuals (%)
Film
Unique Number of
Obs Exp Individuals (% ) RRE,,Ccr RRE,,C
95% Cl
o
00 t
1. Infectious Diseases
582 599.6
Mycoses
3 1.7
Septicemia
1 3.0
Tuberculosis
1 1.2
HIV 0 0.6
Viral Infections, other
0 1.9
Other infections
577 591.1
2. Cancers and Benign Growths
303 270.7
Neoplasms of the head and neck
3 1.3
Neoplasms of the gastrointestinal tract
58 29.8
Malignant neoplasm of colon
4 1.8
Malignant neoplasm of liver
0 0.5
Malignant neoplasm of pancreas
1 0.4
Malignant neoplasm of rectum and anus 4 1.3
Carcinoma in situ , digestive tract
1 0.5
402 (69) 3(100) 1 (100) 1 (100) 0(-) 0(-)
401(69) 192 (63)
3(100) 39 (67)
4(100) 0(-) 1 (100) 4 (100) 1(100)
680 5 4 1 0
,0 670 273 0 53 1 1 0 3 1
612.7 2.0 3.8 1.3 0.6 1.8
603.2 320.4
1.8 40.8
2.4 0.6 0.6 1.8 0.7
432 (64) 5(100) 4(100) 1 (100) O(-) 0(-)
430 (64) 174 (64)
0(-) 41 (77)
1 (100) 1 (100) 0(-) 3(100) 1 (100)
1.0 0.7 0.3 1.0 1.4 >2.3 1.6 6.5 2.2
-
0.9 0.7 0.3 0.9 1.3 >2.3 1.5 5.4 1.8
-
q 1 00
0 .1 -3 .6 0 .0 -3 .2
-
1 .1 -1 .6 0.6 -1000 1 .0 -2 .2 0 .5 -2 6 5
0.3 -1 2 .4
-
Table 7 (continued)
BACK TO MAIN
1
3M Company
EPI-0004
page 59 of 114
Benign colonic polyps Neoplasms of the respiratory tract
Malignant neoplasm of lower respiratory tract \ Neoplasms of bones and connective tissue
Malignant neoplasm of bone Neoplasms o f skin
Malignant melanoma of skin Malignant neoplasm of skin other than melanoma Benign neoplasm of skin Neoplasms o f the breast and female reproductive system Malignant neoplasm of female breast Malignant neoplasm of body of uterus Benign neoplasm of breast Benign ovarian cyst Benign neoplasm of ovary other than cyst Uterine leiomyoma Neoplasms of the urinary tract Malignant neoplasm of bladder Malignant neoplasm of kidney
48 2 2
1 1 116 5 17
94 33
2 1 10 12 1
7 0 0 0
24.6 2.5 2.1
0.6 0.6 97.9 2.2 23.8
71.9 40.8
3.5 0.4 16.8 8.6 0.9
9.7 1.8 1.0 0.7
37 (77) 2(100) 2(100)
1(100) 1(100) 105 (91) 5(100) 14 (82)
93 (99) 30 (91)
2(100) 1 (100) 9(90) 12 (100) 1(100)
7(100) 0(-) 0(-) 0(-)
47 33.7 1 3.3 1 2.8
0 0.8 0 0.8 108 114.1 0 2.6 26 31.6
82 79.8 24 41.6
0 4.0 0 0.4 10 17.6 5 7.7 0 0.8
9 10.1 2 2.4 1 1.5 1 0.9
38 (81) 1(100) 1 (100)
0(-) 0(-) 93 (86) 0(-) 22 (85)
79 (96) 22(92)
0(-) 0(-) 10 (100) 5(100) 0(-)
9(100) 2(100) 1(100) 1(100)
1.5 1.4 3.3 2.6 3.3 2.7
1.3 >2.3 0.9
1.3 >2.3 0.9
1.3 1.3 1.4 1.4
--1.1 1.1 2.0 2.2 --
0.8 0.8 0.0 0.0 --
--
0 .9 -2 .1 0.1 - 1 5 5 0 .1 -1 5 8
1 .0 -1 .6 1.0-63 0.5 - 1 .7
0 .9 -1 .7 0 .8 -2 .5
0.4 - 2.8 0 .7 -7 .8 -
0 .3 -2 .4 0 .0 -7 .2
-
.
Neoplasms of male reproductive system Malignant neoplasm of prostate Malignant neoplasm of testicle
Neoplasms of the nervous system Malignant neoplasm of CNS, primary
Neoplasms o f endocrine organs Malignant neoplasm of thyroid
Other neoplasms Malignant neoplasm, other Malignent neoplasm, unspecified and secondary Metastatic cancers other than lymph nodes Carcinoma in situ other than skin, respiratory or gastrointestinal Other benign or unspecified neoplasm
Neoplasms of the hematologic system Leukemia, chronic Lymphoma Multiple myeloma Myeloproliferative syndrome
Endocrine Disorders Disorders of the thyroid
7 3.7 5 3.1 2 0.6 1 1.6 1 1.3 1 1.0 1 1.0 77 85.3 5 5.5 0 0.8
6 4.4
0 3.0
66 71.7 4 4.4 0 0.8 3 2.4 1 0.4 0 0.4
370 367.3 31 51.2
Table 7 (continued)
7(100) 5(100) 2(100) 1 (100) 1 (100 1 (100) 1 (100) 71 (92) 5(100) O(-)
1 1 0 1 1 0 0 74 4 1
BACK TO MAIN
5.3 4.7 0.6 1.9 1.6 1.1 1.1 101.9 6.7 1.0
1 (100) 1 (100) 0(-) 1 (100) 1 (100) 0(-) 0(-) 67 (91) 4(100) 1 (100)
6(100)
5 5.6
5(100)
0(-)
1 3.3
1 (100)
64(97) 4(100) 0(-) 3(100) 1 (100) 0(-)
224 (61) 22(71)
63 85.4 9 5.2 3 11. 3 2.8 1 0.5 2 0.4
453 438.8 33 57.1
63 (100) 8(89) 3(100) 3(100) 1 (100) 2 (100)
266 (59) 28 (85)
10.1 7.8
-
1.3 1.6 -
1.6
-
1.3 0.6 0.0 1.4
-
1.0 1.1
3M Company EPI-0004
Page 60 of 114 10.0 1 .3 -4 4 7 7.7 0.9-364
----
--1.2 1.5 0 .3 - 7 .7 --
1.6 0 .4 - 6 .4
--
1.3 0.5 0.1 - 1 .9 0.0 1.2
---
1.0 0 .9 -1 .1
1.1 0 .6 -1 .8
00 0 0
k> b VO VO
11 1 00 yj
1
N-
oo
Acquired hypothyroidism with surgery Hyperthyroidism other than in pregnancy
Thyroid nodule, benign nontoxic \
Thyroiditis
Diabetes
Diabetes Type I with complications
Diabetes Type I without complications Diabetes Type II with complications Diabetes Type II without complications
Disorders of lipid metabolism (hyperlipidemia) Fluid and electrolyte disorders
Other endocrine or nutritional disorders Adrenal insufficiency Hyperparathyroidism
Hypoglycemia
Obesity
Osteoporosis
Other endocrine, nutritional and metabolic disorders
Hematologic Disorders Anemia, acquired
24 38.8 4 6.7
1 3.2 2 2.5 69 66.7 4 2.5 10 10.0 11 14.6 44 39.5 157 139.2
21 17.9 92 92.4
0 0.5 1 0.7 8 6.9 43 41.4 2 2.9 38 40.0
44 46.4 9 8.6
Table 7 (continued)
21 (88) 4(100)
23 5
BACK TO MAIN
43.4 23(100) 7.5 5(100)
1(100) 2(100) 41 (59) 4(100) 10 (100) 11(100) 40 (91) 141 (90)
3 3.5 2 2.7 91 84.4 1 3.2 12 12.3 15 19.1 63 49.9 194 172.7
3(100) 2(100) 62 (68) 1(100) 12 (100) 15 (100) 60 (95) 173 (89)
16 (76) 78 (85)
O(-) 1 (100) 7(88) 42 (98) 2(100) 37 (97)
28 20.9 107 103.7
1 0.5 2 0.8 12 7.6 46 45.0 3 3.4 43 46.1
23 (82) 86 (80)
1 (100) 2(100) 10 (75) 43 (93) 3(100) 41 (93)
36 (82) 9(100)
43 53.0 5 9.8
39 (91) 5(100)
3M Company EPI-0004
Page 61 of 114 1.2 1.2 0.6 - 2.1 0.9 0.9 0 .2 -4 .1
0.4 0.4 0 .0 -4 .6 1.0 1.1 0.1 -1 5 .1 1.0 1.0 0.7 - 1 .3 5.8 5.1 0 .5 -2 4 7 1.1 1.0 0 .4 - 2 .6 1.0 1.0 0 .4 - 2 .2 0.9 0.9 0 .6 -1 .3 1.0 1.0 0.8 - 1 .3
0.9 0.9 0.5 - 1.6 1.0 1.0 0 .7 - 1 .3 -0.8 0.6 0.0 - 1 2 0.8 0.7 0 .3 - 2 .0 1.1 1.0 0 .7 - 1 .6 0.9 0.8 0 .1 - 7 .0 1.0 1.0 0 .6 - 1 .6
1.2 1.2 0.8 - 1.8 1.9 2.1 0 .6 - 7 .8
Disorders of hemostatic function Other hematologic disorders Psychiatric Disorders Affective disorders*
Depression, major without psychotic behavior Depression, minor Dissociative and personality disorders Neurotic disorders (anxiety disorders) Organic mental disorders Psychotic disorders Substance abuse Neurologic Disorders Congenital or acquired central degenerative disorders Benign essential tremor Parkinson's disease Hemorrhage, cerebrovascular, or other major CNS disorders Other diseases of the nervous system Migraine Tension headache Peripheral neuromuscular disorders
2 0.9 33 36.7 389 398.4 138 150.8 8 60.3
47 76.8 3 4.0
45 55.4 1 2.2 0 3.2
201 178.8 186 211.4
19 13.3
2 1.9 17 9.1 18 18.3
86 94.3 42 37.1
6 10.4 63 82.4
Table 7 (continued)
1(50) 30(91)
0 38
218 (56)
368
105 (76)
113
77 (95)
66
BACK TO MAIN
1.1 42.0 427.9 158.1 64.1
0(-) 36 (95) 204 (55) 84 (74) 63 (95)
45 (96) 3(100)
42 (93) 1 (100) 0(-)
155 (77) 129 (69)
17 (89)
36 79.5 3 4.0
46 59.1 1 3.0 2 3.4
200 196.3 236 236.9
22 14.9
34 (94) 3(100)
43 (93) 1(100) 2(100)
144 (72) 160 (68) 21 (95)
2(100) 17 (100) 13 (72))
2 2.3 19 10.1 26 24 '
2(100) 19 (100) 19 (73)
69 (80) 37 (88)
4(67) 57(90)
100 101.5 36 37.8
5 10.9 87 92.9
82 (82) 31 (86)
4(80) 79 (91)
3M Company EPI-0004
page 62 o f 114
- - 0.2 -1000
1.1 1.0 0 .6 - 1 .6
1.2 1.1 1 .0 -1 .3
1.4 1.3 1 .0 -1 .7
1.4 1.3 0 .9 - 1 .8
1.5 1.4 0 .9 -2 .1
1.1 1.0 0 .1 - 7 .4
1.1 1.0 0.7 - 1 .6
--
-
--
-
1.2 l.t 0.9 - 1 .4
0.9 0.9 0 .7 -1 .1
1.0 1.0 0 .5 - 1.9
1.1 1.2 0.1 -1 6 .4 1.0 1.0 0 .5 - 2 .0 1.0 0.9 0.5 - 1 .7
0.9 0.9 0.7 - 1 .3 1.1 1.2 0 .8 - 1 .9 1.2 1.3 0 .3 - 5 .2 0.9 0.8 0 . 6 - 1.1
Table 7 (continued)
BACK TO MAIN
3M Company EPI-0004
page 63 o f 114
Neuralgia, neuritis, radicolitis Carpal tunnel syndrome Opthamologic Disorders Disorders of the ee Cataract
42 59.8 18 18.7 166 267.7 166 267.7 14 15.3
42 (100) 18 (100) 116(70) 116(70) 14 (100)
66 67.7 20 20.8 220 302.3 220 302.3 14 20.7
62 (94) 20 (100) 155 (70) 155 (70) 13 (93)
0.8 0.7 0 .5 -1 .1 1.0 1.0 0 .5 - 2 .0 0.9 0.9 0.7 - 1.1 0.9 0.9 0 .7 -1 .1 1.4 1.4 0 .6 -3 .1
Conjunctivitis, acute
20 46.7
20 (100)
31 50.2
29 (94)
0.7 0.7 0 .4 -1 .3
Glaucoma
Cardiovascular Disorders
Hypertension
Atherosclerotic coronary vascular disease and cardiac arrest
8 17.9 413 423 157 149.4
82 76.1
8(100) 234 (57) 145 (92)
51 (62)
19 22.4 571 533 203 185.4 134 102.6
18 (95) 282 (49) 186 (92)
65 (49)
0.6 0.5 0 .2 -1 .3 1.0 0.9 0 .8 - 1 .0 1.0 1.0 0 .8 -1 .2 0.9 0.8 0 .6 -1 .1
Carditis and cardiomyopathy/CHF Disorders of heart valves
8 11.9 20 12.3
7(88) 19 (95)
15 16.2 20 15.3
11 (73) 20 (100)
0.7 0.7 0 .3 - 1 .8 1.2 1.2 0 .6 -2 .4
Dysrhythmia and conduction disorders
Large arterial and peripheral vascular disorders
14 22.8 3 5.2
12 (86) 3(100)
18 29.8 4 7.2
17(94) 4(100)
1.2 1.0 0 .5 -2 .1 1.1 1.1 0 .2 -6 .2
Large vein thromboembolic disorders Minor venous/arterial disorders
5 9.0 2 15.2
3(60) 2(100)
9 10.8 1 17.2
8(89) 1 (100)
0.8 0.7 0 .2 - 2 .2 2.2 2.3 0.1 -1 3 3
Other cardiovascular disorders Pulmonary Disorders Lower respiratory infections Obstructive pulmonary diseases
122 120.5 849 691.8 315 305.0
53 60.2
102 (84) 381 (45) 181 (57) 46 (87)
167 147.9 897 757.6 327 337.9
60 68.7
130 (78) 394 (44) 181 (55)
55 (92)
1.0 0.9 0 .7 -1 .1 1.1 1.0 0 .9 -1 .1 1.1 1.1 0 .9 -1 .3 1.1 1.0 0 .7 -1 .5
Table 7 (continued)
BACK TO MAIN
Asthma Chronic obstructive pulmonary disease Other pulmonary disorders
\ Atelectasis Painful respiration
Pleurisy with or without effusion Pulmonary eosinophilia Other disorders of the respiratory system Pulmonary edema Respiratory failure Sleep disorders 8b. Ear, Nose and Throat Disorders Disorders of the ear and vestibular apparatus Upper respiratory infections Pharyngitis, acute
Sinusitis, acute Chronic sinusitis, with surgery
Upper respiratory infection and common cold, acute Other upper respiratory disorders
23 30 459 4 29
7 7 409 2 0 20 1443 233
1020 223 384
95 299
190
36.9 23.3 307.7
3.6 21.8 10.4
3.1 264.3
7.4 0.4 11.1 1347.3 267.3
888.1 212.2 271.9
82.2 302.5
191.8
22 (96) 30 (100) 329 (72) 4(100) 21 (72)
3(43) 7(100) 311(76) 2(100) 0(-) 20 (100) 398 (28) 137 (59)
328 (32) 119(53) 116(43) 93 (98) 128 (43)
162 (85)
28 32 482 4 35 14 10 411
3 1 24 1620 267
39.5 29.2 327.5
4.6 24.7 12.1
3.9 276.8
9.5 0.5 13.6 1437.8 293.2
1116 202 426 108 368
940.1 215.8 290.2
89.0 326.8
237 204.4
27 (96) 31 (97) 344(71) 4(100) 33 (94)
9(64) 10 (100) 327 (80) 3(100)
1 (100) 23 (96) 418 (26) 160 (60)
355 (32) 116(57) 166 (39) 106 (98) 152 (41)
184 (78)
3M Company
EPI-0004 page 64 o f 114
1.0 0.9 0.5 - 1 .6
1.2 1.2 0 .7 - 2 .0
1.1 1.0 0 .9 - 1 .2
1.2 1.3 0 .2 - 7 .0
1.1 0.9 0 .6 - 1 .6
0.7 0.6 0 .2 -1 .5
0.9 0.9 0 .3 - 2 .6
1.1 1.0 0 .9 -1 .2
0.8 0.9 0 .1 - 7 .4
--
-
1.1 1.0 0.5 - 1 .9
1.0 1.0 0.9 - 1 .0
1.0 1.0 0 .8 - 1 .2
1.0 1.0 0 .9 -1 .1 1.2 1.1 0.9 - 1 .4 1.0 1.0 0 .8 -1 .1 1.1 1.0 0 .7 -1 .3 1.0 0.9 0.8 - 1 .0
0.9 0.9
0 1
Table 7 (continued)
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3M Company EPI-0004
Page 65 of 114
Allergic rhinitis Gastrointestinal Disorders Disorders of esophagus Disorders of stomach and duodenum Disorders of the small intestine Hernias Inflammatory bowel disease Disorders of the large intestine Disorders of the liver
Cirrhosis of liver without mention of alcohol Hepatitis, acute alcoholic Hepatitis, acute without hepatic coma Hepatitis, chronic without hepatic coma Disorders of the biliary tract Cholecystitis without cholelithiasis, acute Cholecystitits without choleithiasis, chronic or other Cholelithiasis with acute cholecystitits Cholelithiasis with chronic or unspecified cholecystitits Cholelithiasis without cholecystitis
162 163.5 631 520.5
80 51.7 65 48.0
2 4.4 27 34.3 13 8.6 153 107.8
3 6.0 2 0.9
0 0.3 0 2.5 1 1.6 26 25.7 1 2.2
5 4.0
7 4.2 8 9.1
5 6.1
149 (92) 264 (42)
68 (85) 53 (82)
2(100) 23 (85) 13 (100) 107(70)
3(100) 2(100)
0(-) 0(-) 1 (100) 13 (50) 1(100)
5(100)
5(71) 8(100)
5(100)
193 173.3 755 604.3 109 61.2 112 55.7
4 4.6 59 42.0
7 9.6 176 129.9
3 6.9 0 1.1
1 0.4 2 2.7 0 1.8 20 30.6 2 2.7
4 4.7
1 5.2 6 10.7
7 7.3
170 (88) 306 (41)
89 (82) 75 (40)
3(75) 49 (83)
7(100) 121 (69)
3(100) 0(-)
1 (100) 2(100) 0(-) 12(60) 2(100)
4(100)
1(100) 6(100)
7(100)
0.9 0.9 0 .7 -1 .1
1.0 1.0 0 .9 -1 .1
0.9 0.9 0 .6 - 1 .2
0.7 0.7 0 .5 - 0 .9
0.6 0.5 0 .1 - 3 .6
0.6 0.6 0 .4 - 0 .9
2.1 2.1 0 .8 -6 .1
1.1 1.1 0.8 - 1 .3
1.3 1.2 0 .2 - 8 .6
--
-
--
-
--
-
--
-
1.7 1.6 0 .8 - 2 .9
0.7 0.6 0 .0 - 1 2
1.6 1.5 0 .3 -7 .3
10.1 8.6 1 .1 -3 8 0 .7 1.7 1.6 0 .5 -5 .5
0.9 0.9 0 .2 -3 .1
Disorders of the pancreas Pancreatis, acute Pancreatis, chronic
Other gastrointestinal disorders Urologic Disorders Disorders of renal function
Chronic renal failure Disorders of renal parenchyma
Renal cyst Lower and unspecified urinary tract infections
Cystitis Urinary tract, not specified Other disorders of the lower urinary tract Urethra stricture Other disorders of the upper urinary tract Calculus of urinary tract Other genitourinary disorders Other diseases with surgery Upper urinary tract infections Acute pyelonephritis Disorders of the prostate
7 4.2 6 3.6 1 0.6 255 229.9 411 269.0 5 3.9 4 2.6 3 1.7 3 1.7 127 94.5
56 23.3 71 71.2
2 4.3 2 4.3 73 32.2 73 32.2 62 48.5 62 48.5 7 4.0 7 4.0 132 79.8
Table 7 (continued)
1(14) 1(17) 1(100) 200 (78) 163 (40) 4(80)
3 3 0 262 481 2
4(100) 3(100) 3(100) 57 (45)
1 1 1 107
BACK TO MAIN
5.4 4.7 0.7 258.5 318.4 4.9 3.1 2.1 2.1 99.3
2(67) 2(67) 0(-) 208 (79) 205 (43) 2(100) 1(100) 1 (100) 1(100) 66 (62)
19 (34) 47 (66)
2(100) 2(100) 34 (47) 34 (47) 60 (97) 60 (97) 6(86) 6(86) 83 (63)
40 24.3 67 75.1 15 4.9 15 4.9 85 38.9 85 38.9, 81 57.1 81 57.1
7 4.3 7 4.3 183 106.8
31 (78) 45 (67) 14 (93) 14 (93) 44(52) 44(52) 79 (98) 79 (98)
5(71) 5(71) 113(62)
3M Company
EPI-0004
page 66 of 114
2.5 3.0 0.7 - 1 8 2.1 2.6 0 .6 -1 5 .8
--
-
1.2 1.1 0 .9 - 1 .3
1.1 1.0 0 .9 - 1 .2
3.2 3.1 0 .5 - 3 3
5.2 4.9 0 .5 -2 3 8 3.5 3.7 0.3 - 1 9 2 3.5 3.7 0.3 - 1 9 2 1.3 1.3 1 .0 -1 .6
1.5 1.5 1 .0 -2 .2 1.1 1.1 0.8 - 1 .6 0.2 0.2 0 .0 - 0 .7 0.2 0.2 0 .0 -0 .7 1.1 1.0 0.8 - 1 .4 1.1 1.0 0.8 - 1 .4 1.0 0.9 0 .6 - 1 .3 1.0 0.9 0 .6 - 1 .3 1.1 1.1 0 .3 - 3 .5 1.1 1.1 0 .3 -3 .5 1.0 1.0 0 .8 - 1 .2
Prostatic hyperplasia
59 40.6
Prostatitis, acute
73 39.2
Gynecologic and Reproductive Disorders 354 378.4
Disorders of the fetaale breast (non-malignant)
32 29.8
Fibrocystic disease of breast
27 21.4
Infections of the female genital tract
32 44.7
Menopausal and menstrual disorders
44 74.0
Other gynecologic disorders
112 106.1
Endometriosis
11 6.1
Fertility and infertility management
134 123.8
Contraceptive or procreative management
41 51.8
Infertility female
2 4.2
Impotence of organic origin
47 26.3
Other disorders of the male reproductive system
44
41.6
Pregnancy
40 44.7
Complicated pregnancy or delivery
29 30.2
Diabetes, gestational
1 0.6
Multiple gestational
1 0.5
Postpartum hemorrhage
1 1.8
Pregnancy with abortion
3 2.8
Table 7 (continued)
53 (95) 55 (58) 182(51) 28 (88)
83 100 323 21
B A C K T O MAIN
58.1 48.7 374.1 31.3
79 (95) 60(60) 193 (60) 19(90)
3M Company EPI-0004
Page 67 o f 114
1.0 1.0 0 .7 - 1 .4
1.0 0.9 0 .7 - 1 .2
1.2 1.1 0 .9 - 1 .3
1.6 1.6 0 .9 - 2 .9
26 (96) 22 (69) 34 (77) 75 (67) 11 (100) 109 (81) 40 (98)
16 22.3 24 39.7 42 75.8 81 101.3
6 5.5 155 126.0 28 38.6
16 (100) 18 (75) 31 (74) 61 (75) 6(100) 125 (81) 28 (100)
1.8 1.8 0 .9 - 3 .4 1.3 1.2 0 .7 -2 .1 1.1 1.1 0.7 - 1 .7 1.3 1.3 1 .0 -1 .8 1.7 1.7 0.6 - 5 .4 1.0 0.9 0.7 -1 .1 1.1 1.1 0 .7 - 1 .8
2(100) 45 (96) 42 (95)
2 2.9 51 36.0 74 48.5
2(100) 50 (98) 71 (96)
0.6 0.7 0 .1 - 9 .7 1.2 1.3 0 .8 - 1 .9 0.8 0.7 0 .5 - 1 .0
13 (33) 12(41)
1 (100) 1(100) 1 (100) 3(100)
23 26.3, 16 18.6 0 0.3 0 0.2
1 1.3 1 1.8
8(35) 8(50) O(-) O(-) 1 (100) 1 (100)
1.0 1.0 0 .6 - 1 .8
1.0 1.1 0 .6 - 2 .2
--
-
--
-
--
-
1.5 1.9 0.2 - 101
Table 7 (continued)
BACK TO MAIN
3M Company
EPI-0004 page 68 of 114
Pregnancy, ectopic
Preterm labor
Other conditions during pregnancy
Normal or unspecified pregnancy and delivery
1 0.4 7 3.1 15 20.5 11 14.5
1 (100) 3(43) 12 (80) 9(82)
0 0.2 1 1.7 13 12.6 7 7.7
0(-) 1(100) 8(62) 5(71)
--
-
3.6 3.9 0.5 - 1 7 2
0.6 0.7 0.3 - 1 .6
0.9 0.8 0 .3 - 2 .6
Spontaneous abortion Pregnancy Dermatologic Disorders Dermatologic infections Disorders of the hair and nails Immune mediated skin conditions Other dermatologic conditions Musculoskeletal Disorders Acute or unspecified arthropathies and minor tendonitis
2 9 870 282 15 134 439 1396 128
1.2 13.3 936.5 289.3 32.8 160.0 454.4 1420.0 169.7
2(100) 9(100) 351 (40) 164 (58) 13 (87) 85 (63) 266 (61) 365 (26) 87 (68)
0 7 929 286 20 133 490 1741 205
0.7 7.0 1035.5 320.6 36.6 175.2 503.2 1587.1 193.4
0(-) 5(71) 369 (40) 165 (58) 17 (85) 82 (62) 290 (59) 426 (24) 125 (61)
--
-
0.7 0.7 0 .2 - 2 .2
1.1 1.0 0 .9 -1 .1
1.2 1.1 0 .9 - 1 .3
1.0 0.8 0 .4 - 1 .7
1.2 1.1 0 .9 - 1 .4
1.1 1.0 0 .9 -1 .1
1.0 0.9 0 .8 - 1 .0
0.8 0.7 0 .6 - 0 .9
Crystalline arthritis
Degenerative joint disorders, other than spine
17 15.2 65 80.8
16 (94) 50 (77)
25 19.1 115 96.6
22 (88) 97 (84)
0.9 0.9 0 .4 - 1 .6 0.7 0.7 0 .5 - 0 .9
Disorders of the spine Vasculitis and connective tissue disorders Other Congenital Anomalies Congenital Anomalies
388 351.7 13 9.5
785 793.2 25 28.4 25 28.4
209 (54) 13 (100)
295 (38) 25 (100) 25 (100)
499 389.4 18 11.1
879 877.5 27 31.2 27 31.2
235 (47) 16 (89)
340 (39) 26 (96) 26 (96)
0.9 0.9 0 .8 - 1 .0 0.9 0.9 0 .4 - 1 .8 1.1 1.0 0 .9 -1 .1 1.1 1.0 0.6-1.8 1.1 1.0 0.6-1.8
Atrial septal defect
Other cardiovascular congenital
abnormalities
Other congenital abnormalities with
admittance
,
Other respiratory congenital abnormalities
Perinatal Disorders Conditions originating in the perinatal period Miscellaneous Other miscellaneous conditions
Routine health care Symptoms or signs
Abdominal pain Chest pain, unspecified Fever Headache with radiology Malaise and fatigue Syncope and collapse Symptoms, signs and ill - defined conditions Injury and Poisoning Major traumatic injury
Table 7 (continued)
BACK TO MAIN
0 0.3 2 3.0 22 24.3
1 0.6
0(-) 2(100) 22 (100)
1 (100)
1 2.7 1 2.7
1620 427 235 1193 199 186
20 130 65
19 574
1692.1 707.6 308.3 984.5 143.3 133.1
16.5 114.0 66.6
18.6 490.9
515 787.3 121 224.2
1 (100) 1(100)
506(31) 287 (67) 220 (94) 461 (39) 139 (70) 125 (67)
20 (100) 76 (58) 55 (85) 15 (79) 409(71)
259 (50) 85 (70)
1 0.4 5 3.8 20 26.2
1 0.7
4 2.6 4 2.6
1697 455 254 1242 180 209
28 120 66
19 620
1867.3 773.0 328.4 1094.3 159.9 162.3
18.2 120.2 73.4 22.0 536.3
616 844.5 140 241.0
1 (100) 5(100) 20 (100)
1 (100)
4(100) 4(100)
525 (31) 319 (70) 233 (92) 480 (39) 127 (71) 132 (63)
28 (100) 70 (58) 57 (86) 15 (79) 431 (70)
294 (48) 106 (76)
3M Company EPI-0004
Page 69 o f 114
--
-
0.6 0.5 0 .1 -3 .1
1.2 1.2 0 .6 - 2 .3
--
-
0.2 0.2 0.2 0.2 0 .0 - 2 .4
1.1 1.1 1 .0 -1 .1 1.1 1.0 0 .9 - 1 .2 1.0 1.0 0 .8 - 1 .2 1.1 1.1 1 .0 -1 .2 1.4 1.2 1 .0 -1 .5 1.1 1.1 0 .9 -1 .3 0.8 0.8 0 .4 -1 .5 1.2 1.1 0 .9 -1 .5 1.1 1.0 0 .8 - 1 .6 1.2 1.2 0 .6 - 2 .3 1.1 1.0 0 .9 -1 .1
1.0 0.9 1.0 0.9 0 .7 - 1 .2
00 bo 11 H- to b
Minor traumatic injury Other injury
\.
Table 7 (continued)
BACK TO MAIN
3M Company EPI-0004
Page 70 o f 114
284 445.1
178 (63)
363 473.4
219 (60)
0.9 0.8 0 .7 - 1 .0
0 bo 1
110 118.1
97 (88)
113 130.1
94 (83)
1.2 1.1
Table 8
BACK TO MAIN
3M Company EPI-0004
Page 71 of 114
Observed, Expected and Unique Number o f Individuals by Plant with Risk Ratios o f Episode o f Care (with and without correction factor) and 95% Confidence Interval o f Risk Ratio (not corrected) for CCG Specialty Category, Category, and Class Descriptions
Study Comparison Group B (Only Chemical or Only Film Employees)
CCG Specialty Category, Category and Class Description
__________ Chemical_________ ____________ Film___________
Unique Number of
Unique Number of
Obs Exp Individuals (%)
Obs Exp Individuals (% )
1. Infectious Diseases
315 315.5 225 (71)
437 385.7
285 (65)
Mycoses
1 0.9
1 (100)
2 1.2
2(100)
Septicemia
1 1.6
1 (100)
4 2.2
4 (100)
Tuberculosis
0 0.6
0(-)
0 0.8
0(-)
HIV
0 0.3
0(-)
0 0.3
0(-)
Viral infections, other
0 1.0
0(-)
0 1.2
0(-)
Other infections
313 311.0 225 (72)
431 379.9
284 (66)
2. Cancers and Benign Growths
167 145.9 109 (65)
166 190.5
109 (66)
Neoplasms of the head and neck
1 0.8
1 (100)
0 1.0
0(-)
Neoplasms of the gastrointestinal tract
30 16.5
21 (70)
29 23.2
26 (90)
Malignant neoplasmof colon
3 1.0
3 (100)
0 1.5
O(-)
Malignant neoplasmof liver
0 0.3
0(-)
1 0.4
1 (100)
Malignant neoplasmof pancreas
0 0.2
0(-)
0 0.4
0(-)
Malignant neoplasmof rectum and anus
3 0.7
3 (100)
1 1.0
1 (100)
Carcinoma insitu,digestive tract
0 0.3
0(-)
0 0.4
0(-)
RRE0Ccr RREnC
1.0 0.9 0.7 0.6 0.4 0.3
----
1.0 0.9 1.3 1.3
--
1.5 1.5 >3.0 3.0
--4.2 4.1
--
95% Cl
0.8- 1.0 0.0-12.4 0.0-3.5
-
0.8-1.0 1.1-1.6
-
0.9-2.5 0.6-43
-
-
0.3-217
-
Benign colonic polyps
24 13.6
Neoplasms of the respiratory tract
0 1.4
Malignant neoplasm of lower respiratory 0 1.1 tract
Neoplasms of bones and connective tissue
0 0.3
Malignant neoplasm of bone
0 0.3
Neoplasms of skin
70 52.1
Malignant melanoma of skin
4 1.2
Malignant neoplasmof skin other than melanoma
10 13.0
Benign neoplasmof skin
56 37.9
Neoplasms of the breast and female reproductive system
16 22.1
Malignant neoplasm of female breast
2 1.9
Malignant neoplasmof body of uterus
0 0.2
Benign neoplasmof breast
7 9.1
Benign ovarian cyst
3 4.6
Benign neoplasm of ovary other than cyst
0 0.5
Uterine leiomyoma
4 5.3
Neoplasms of the urinary tract
0 1.0
Malignant neoplasm of bladder
0 0.6
Malignant neoplasmof kidney
0 0.4
Table 8 (continued)
20 (83) O(-) O(-)
27 0 0
O(-) 0(-) 64 (91) 4(100) 8(80)
0 0 65 0 13
55 (98) 15 (94)
52 13
2 (100) 0(-) 7 (100) 3(100) 0(-)
0 0 5 2 0
4(100) 0(-) 0(-) 0(-)
6 2 1 1
BACK TO MAIN
19.2 24 (89) 1.9 O(-) 1.4 O(-)
0.4 O(-) 0.4 O(-) 69.9 57 (88) 1.7 O(-) 18.5 11(85)
49.8 50 (96) 23.6 13 (100)
2.2 O(-) 0.2 O(-) 10.0 5(100) 4.5 2 (100) 0.5 O(-)
5.7 6 (100) 1.4 2(100) 0.8 1 (100) 0.5 1 ( 100)
1.3 -
1.4 >3.3 1.1
1.4 1.4
1.7 1.3 -
0.7 -
-
3M Company EPI-0004
Page 72 of 114
1.3 0.7-2.2
--
--
1.4 >3.3 1.1
1.0 --2.1 0.9 - 59 0.4-2.7
1.4 1.0-2.1 1.3 0.6-3.0
--1.5 0.4 - 6.2 1.5 0.2-18 --
0.7 0.2-3.0 ---
Neoplasms of male reproductive tract Malignant neoplasmof prostate Malignant neoplasm of testicle
Neoplasms of the nervous system Malignant neoplasm of CNS, primary
Neoplasms of endocrine organs Malignant neoplasm of thyroid
Other neoplasms Malignant neoplasm, other Malignant neoplasm, unspecified and secondary Metastatic cancers other than lymph nodes Carcinoma in situ, other than skin, respiratoryor gastrointestinal Other benign or unspecified neoplasm
Neoplasms of the hematologic system Leukemia, chronic Lymphoma Multiple myeloma Myeloproliferative syndrome
3. Endocrine Disorders
Disorders of the thyroid
4 2.1 3 1.8 1 0.3 1 0.9 1 0.7 0 0.5 0 0.5 41 45.9 3 3.0 0 0.4
0 2.4
0 1.6
38 38.4 4 2.3 0 0.4 3 1.2 1 0.2 0 0.2
194 197.0 18 27.5
Table 8 (continued)
4 (100) 3(100) 1 (100) 1(100) 1 (100) 0(-) 0(-) 39 (95) 3(100) 0(-)
1 1 0 0 0 0 0 49 4 0
O(-) 3
O(-) 1
37 (97) 4 (100) O(-) 3(100) 1 (100) 0(-)
124 (64) 13 (72)
41 7 2 2 1 2
251 18
BACK TO MAIN
3.0 2.5 0.4 1.1 0.9 0.7 0.7 61.1 3.9 0.6
3.2
1.9
51.5 3.2 0.6 1.7 0.3 0.3 263.6 33.6
1 (100) 1(100) O(-) O(-) O(-) O(-) O(-) 44 (90) 4 (100) O(-)
3(100)
1 (100)
41 (100) 6(86) 2(100) 2 (100) 1 (100) 2(100) 152 (61) 16 (89)
5.4 4.2 1.1 1.0 -
0.0
-
1.3 0.8 2.3 1.1 1.2
o c4 001 o
3M Company EPI-0004
Page 73 of 114 5.7 0.6-276 4.3 0.3-224 -----1.1 0.7 -1.7 1.0 0.2-5.9 --
0.0 0.0-3.2
--
1.2 0.8 0.2-3.1 -2.1 0.2-25.2 --1.0 0.9-1.3 1.2 0.6-2.5
Acquired hypothyroidism with surgery Hyperthyroidismother thanin pregnancy Thyroid nodule, benign nontoxic Thyroiditis Diabetes Diabetes Type I with complications Diabetes Type I without complications Diabetes Type II with complications Diabetes Type II without complications Disorders of lipid metabolism (hyperlipidemia) Fluid and electrolyte disorders Other endocrine or nutritional disorders Adrenal insufficiency Hyperparathyroidism Hypoglycemia Obesity Osteoporosis Other endocrine, nutritional and metabolic disorders Hematologic Disorders Anemia, acquired
14 20.9 2 3.6
1 1.7 1 1.3 27 36.1 1 1.4 3 5.4 6 8.0 17 21.4 93 74.4
8 9.6 48 49.3 0 0.3
1 0.4 4 3.6 20 21.9 1 1.6 22 21.5
22 24.9 5 4.7
Table 8 (continued)
12 (86) 2 (100)
13 2
1 (100) 1 (100) 17 (63) 1 (100) 3(100) 6(100) 16 (94) 83 (89)
1 2 52 0 7 7 38 104
4(50) 43 (90) O(-)
1 (100) 3(79) 20 (100) 1 (100) 22 (100)
17 60 0 0 8 27 3 22
20 (91) 5 (100)
26 4
BACK TO MAIN
25.5 4.4
2.1 1.6 50.0 1.9 7.5 11.1 29.6 105
12.3 62.7 0.3 0.5 4.8 27.6 1.9 27.6
31.6 5.8
13 (100) 2(100)
1 (100) 2(100) 35 (67) O(-) 7(100) 7(100) 35 (92) 92 (88)
15 (88) 48 (80) O(-) O(-) 6(75) 24 (89) 3 (100) 21 (95)
22 (85) 4 (100)
1.3 1.1
0.7 0.8 0.7 1.3 0.6 1.3
0.6 1.1 0.7 1.0 0.4 1.4
1.2 1.6
3M Company EPI-0004
Page 74 of 114
1.3 0.6-3.0 1.2 0.1-17
-0.6 0.0-11.6 0.7 0.4-1.2 -0.6 0.1-2.6 1.2 0.3-4.1 0.6 0.3-1.1 1.3 0.9-1.7
0.6 0.2-1.5 1.0 0.7-1.5 --0.7 0.2-2.5 0.9 0.5-1.7 0.4 0.0-5.0 1.3 0.7-2.4
1.1 0.6 - 2.0 1.6 0.3-7.8
Other hematologic disorders 5. Psychiatric Disorders
Affective disorders Depression, major without psychotic behavior Depression, minor
Dissociative andpersonality disorders Neurotic disorders (anxiety disorders) Organic mental disorders Psychotic disorders Substance abuse 6a. Neurologic Disorders Congenital or acquired central degenerative disorders
Benign essential tremor Parkinson's disease Hemorrhage, cerebrovascular, or other major CNS disorders Other diseases of the nervous system Migraine Tension headache Peripheral neuromuscular disorders Neuralgia, neuritis, radiculitis
17 19.7 181 209.5 60 78.9 34 31.7
Table 8 (continued)
16 (94) 106 (59) 47 (78) 33 (97)
22 229 74 42
22 40.1 1 2.1
20 29.0 1 1.2 0 1.7
98 94.5 84 112.4 7 7.0
21 (95) 1 (100) 19 (95) 1 (100) 0(-)
79 (81) 59 (70) 7(100)
25 2 29 1 1 120 136 13
0 1.0 7 4.8 7 10.1
1 (100) 7(100) 7 (100)
1 12 19
42 50.1 16 19.6 0 5.0 28 43.5 17 31.6
34 (81) 15 (94) 0(-) 25 (89) 17 (100)
54 22 4 50 38
BACK TO MAIN
25.2 268.1 100.2 40.2
50.8 2.6 37.4 1.7 2.1 121.4 144.5 9.2
1.4 6.3 13.8
62.0 23.3 6.0 57.5 41.9
20 (91) 127 (55) 52 (70) 40 (95)
24 (96) 2(100) 26 (90) 1 (100) 1 (100) 87 (73) 90 (66) 13 (100)
1 (100) 12 (100) 13 (68)
43 (80) 19 (86) 3(77) 43 (86) 35 (92)
1.1 1.1 1.1 1.1
1.2 0.5 0.9 1.1 0.8 0.7
0.8 0.5
1.0 0.8 0.0 0.7 0.6
o 4^
0
0
o1 o
'sO1 d
f1 1
CT\ un1 o
3M Company EPI-0004
Page 75 of 114
1.0 1.0 0.8-1.2 1.0 1.0 0.6-1.7
1.1 0.6-2.1 0.6 0.0 - 12.2 0.9 0.5- 1.6 --1.1 0.8-1.4 0.8 0.7 0.2-1.9
-0.8 0.3-2.1 0.5
1.0 0.6-1.5 0.9 0.0 0.7 0.5-1.2 0.6 0.3-1.1
to In
"H 0**--01
Carpel tunnel syndrome Opthamologic Disorders Disorders of the eye
Cataract Conjunctivitis, acute Glaucoma Cardiovascular Disorders Hypertension Atherosclerotic coronary vascular disease Carditis and cardiomyopathy/CHF Disorders of heart valves Dysrhythmia and conduction disorders Large arterial and peripheral vascular disorders Large vein thromboembolic disorders Minor venous/arterial disorders Other cardiovascular disorders Pulmonary Disorders Lower respiratory infections Obstructive pulmonary diseases Asthma Chronic obstructive pulmonary disease
10 9.9 91 142.7 91 142.7 10 8.5 11 24.6 5 9.6 216 229.4 81 80.1 38 41.7 6 6.6 6 6.7 7 12.5 2 2.9
1 4.8 2 8.2 73 65.2 430 365.8 149 161.3 29 32.1 15 19.4 14 12.7
Table 8 (continued)
10 (100) 64 (70) 64 (70) 10 (100) 11(100) 5(100) 122 (56) 76 (94) 24 (63) 5(83) 6(100) 6(86) 2(100)
12 120 120
7 18 , 10 326 122 80 10 9 8 1
1 (100) 2(100) 61 (84) 202 (47) 91 (61) 25 (86) 15 (100) 14 (100)
3 0 93 524 196 39 14 25
BACK TO MAIN
12.7 184.0 184.0 11.4 31.0 13.4 315.6 111.8 60.0
9.1 8.9 17.3 4.0
6.4 10.1 87.3 468.6 208.5 41.7 24.6 17.1
12 (100) 95 (79) 95 (79) 6(86) 17 (94) 10 (100) 165 (51) 114(93) 34 (43) 7(70) 9(100) 8(100)
1 (100)
3(100) O(-) 73 (78) 240 (46) 114 (58) 34 (87) 13 (93) 24 (96)
1.1 1.0 1.0 2.0 0.8 0.7 0.9 0.9 0.7 0.8 0.9 1.2 2.8
0.5
1.1 1.1 1.0 1.1 1.5 0.8
r-H <N CO1 001 Oo
3M Company EPI-0004
Page 76 of 114
1.1 0.4-2.7 1.0 0.7 - 1.3 1.0 0.7-1.3 1.9 0.7-5.9 0.8 0.3-1.7 0.7 0.2-2.2 0.9 0.8-1.1 0.9 0.7- 1.2 0.7 0.5-1.0 0.8 0.3-2.5 0.9 0.3-2.8 1.2 0.4-3.8 2.8 0.1-162
0.4 0.0-5.5 -" 1.1 1.1 0.9-1.2 1.0 1.0 0.6- 1.6 1.4 0.6-3.0 0.8 0.4-1.5
Other pulmonary disorders Atelectasis Painful respiration Pleurisy with or without effusion Pulmonary eosinophilia Other disorders of the respiratory system
Pulmonary edema Respiratory failure Sleep disorders 8b. Ear, Nose and Throat Disorders Disorders of the ear and vestibular apparatus Upper respiratory infections
Pharyngitis, acute Sinusitis, acute Sinusitis, chronic with surgery Upper respiratory infection and common cold, acute Other upper respiratory disorders Allergic rhinitis 9. Gastrointestinal Disorders Disorders of esophagus
236 162.3 4 1.9 13 11.5 0 5.5 4 1.7
215 139.2 1 4.0 0 0.2
15 5.9 699 707.1 119 140.6
490 465.7 113 110.7 191 142.8 44 43.2 136 159.0
90 100.8 81 85.9 320 277.0 37 27.5
Table 8 (continued)
170 (72) 4(100) 9(69) O(-) 4(100)
163 (76) 1 (100) O(-)
15 (100) 221 (32)
72 (61)
275 3 18 8 5
240 2 1 11
941 150
175 (36) 64(57) 91 (48) 43 (98) 62 (46)
649 124 220 63 232
82 (91) 77 (95) 139 (43) 34 (92)
142 116 467 61
BACK TO MAIN
204.1 2.7 15.2 7.3 2.3
173.3 5.5 0.3 8.4
906.1 184.1
593.4 138.3 182.1 56.1 205.1
128.6 109.0 369.6 37.5
198 (72) 3(100) 16 (89) 5(63) 5(100)
190 (79) 2(100) 1 (100) 10 (91)
256 (27) 95 (63)
198 (31) 71 (57) 96(44) 61 (97) 93 (40)
112(79) 102 (88) 187(40) 53 (87)
1.2 2.2 1.0 0.0 1.2 1.2 0.7 2.0 1.0 1.1
1.0 1.1 1.1 0.9 0.8
0.8 0.9 1.0 0.8
3M Company EPI-0004
Page 77 of 114
1.1 0.9 -1.3 1.9 0.3 -12.6 1.0 0.4-2.0 0.0 0.0-0.8 1.1 0.2 - 5.0 1.1 0.9-1.4 0.7 0.0 -13 -2.0 0.8-4.7 1.0 0.9-1.1 1.0 0.8- 1.3
1.0 0.9-1.1 1.1 0.9 -1.5 1.1 0.9-1.4 0.9 0.6-1.4 0.8 0.6-0.9
0.8 0.6-1.1 0.9 0.7-1.2 0.9 0.8-1.1 0.8 0.5-1.3
Disorders of stomach and duodenum Disorders of the small intestine Hernias Inflammatory bowel disease Disorders of the large intestine Disorders of the liver
Cirrhosis of liver without mention of alcohol Hepatitis, acute alcoholic Hepatitis, acute without hepatic coma Hepatitis, chronic without hepatic coma Disorders of the biliary tract Cholecystitis without cholelithiasis, acute Cholecystitis without cholelithiasis, chronic or other Cholelithiasis with acute cholecystitis Cholelithiasis with chronic or unspecified cholecystitis
Cholelithiasis without cholecystitis Disorders of the pancreas
Pancreatitis, acute Pancreatitis, chronic
31 25.5 1 2.3 15 18.3 3 4.5
77 57.8 3 3.1 2 0.5
0 0.2 0 1.3 1 0.9 18 13.9 0 1.2
3 2.2
6 2.3 5 4.9
4 3.3 7 2.3 6 2.0 1 0.3
Table 8 (continued)
27 (87) 1 ( 100) 13 (87) 3 (100)
56 (73) 3 (100) 2 ( 100)
75 4 34 5 105 3 0
0 (-) 0 (-) 1 ( 100)
8(44)
0 (-)
1
2 0 11
1
3(100)
1
4(67) 5(100)
1
3
4(100) 1(14) 1(17) 1 ( 100)
5 3 3 0
BACK TO MAIN
34.0 49 (65) 3.0 3(75) 25.7 29 (85) 6.0 5 (100) 78.6 75 (71) 4.4 3 (100) 0.7 O(-)
0.2 1 (100) 1.8 2(200) 1.2 O(-) 17.8 6(55) 1.5 1 (100)
2.8 1 (100)
3.0 1 (100) 6.3 3(100)
4.2 5(100) 3.2 2(67) 2.8 2(67) 0.4 O(-)
0.5 0.4 0.6 0.9
1.0
1.3 -
2.5 -
4.6
8.8 2.5
1.3 3.8 3.3
-
3M Company EPI-0004
Page 78 o f 114
0.6 0.4-0.9 0.3 0.0-3.3 0.6 0.3-1.2 0.8 0.1-4.1 1.0 0.7-1.4 1.4 0.2-11 - 0.4-27.2
---2.1 0.9-4.9 --
3.8 0.3 -198
7.8 0.9-358 2.13 0.4-13.7
1.0 0.2-4.8 3.3 0.8 - 20 2.8 0.6-17.2
--
Other gastrointestinal disorders 10a. Urologic Disorders
Disorders of renal function Chronic renal failure
Disorders of renal parenchyma Renal cyst
Lower and unspecified urinary tract infections
Cystitis Urinary tract, not specified Other disorders of the lower urinary tract Urethral stricture Other disorders of the upper urinary tract Calculus of urinary tract Other genitourinary disorders Other diseases with surgery Upper urinary tract infections Acute pyelonephritis Disorders of the prostate Prostatic hyperplasia Prostatitis, acute
128 121.8 273 144
4 2.1 3 1.4 1 0.9 1 0.9 96 50.7
47 12.5 49 38.1
1 2.3 1 2.3 51 17.0 51 17.0 34 25.9 34 25.9 4 2.2 4 2.2 82 43.3 29 22.6 53 20.7
Table 8 (continued)
98 (77) 97 (36)
3(75) 3(75) 1 (100) 1 (100) 36 (38)
166 303
1 1 1 1 73
13 (28) 29 (59)
1(100) 1 (100) 18 (35) 18 (35) 33 (97) 33 (97) 3(75) 3(75) 48 (59) 25 (86) 29 (55)
27 46 11 11 56 56 49 49
6 6 106 42 64
BACK TO MAIN
159.5 192.0
3.0 1.9 1.3 1.3 59.0
14.3 44.7 3.1 3.1 24.3 24.3 34.6 34.6 2.6 2.6 64.1 33.3 30.8
131 (79) 124 (41)
1 (100) 1 (100) 1(100) 1 (100) 44 (60)
20 (74) 32 (70) 11(100) 11 (100) 30 (54) 30 (54) 48 (98) 48 (98) 4(67) 4(67) 63 (59) 39 (93) 38 (59)
1.1 1.2 5.8 4.2 1.6
1.9 1.3 0.1 0.1 1.4 1.4 0.9 0.9 0.9 0.9 1.2 1.0 1.3
000 1 u>
3M Company EPI-0004
Page 79 of 114
1.0 1.2 1.0-1.4 5.6 0.6-271 4.2 0.4 -104 --1.5 1.1-2.1
2.0 1.2-3.3 1.3 0.8-1.9 0.1 0.0-0.9 0.1 0.0-0.9 1.3 0.9 -1.9 1.3 0.9-1.9 0.9 0.6-1.5 0.9 0.6 -1.5 0.8 0.2 - 3.4 0.8 0.2 - 3.4 1.1 0.9-1.5 1.0 0.6-1.7 1.2 0.8-1.8
Gynecologic and Reproductive Disorders Disorders of the female breast (non-malignant)
Fibrocystic disease of breast Infections of the female genital tract Menopausal and menstrual disorders Other gynecologic disorders
Endometriosis Fertility and infertility management
Contraceptive or procreative management Infertility female Impotence of organic origin Other disorders of the male reproductive system Pregnancy Complicated pregnancy or delivery Diabetes, gestational Multiple gestational Postpartumhemorrhage Pregnancy with abortion Pregnancy, ectopic Pretermlabor
187 203.1 18 16.1
15 11.6 18 24.2 29 40.1 60 57.3 6 3.3 62 65.4 23 27.1
1 2.3 20 14.4 18 21.7
25 24.1 19 16.3 1 0.3 1 0.3 1 1.0 2 1.5 1 0.2 4 1.7
Table 8 (continued)
99 (53) 16 (89)
192 13
14 (93) 13 (72) 21 (72) 43 (55) 6(100) 53 (85) 23 (100)
10 10
15 46
3 108 21
1 (100) 19 (95) 17 (94)
2
32 53
9(36) 9(47) 1 (100) 1 (100) 1 (100) 2 (100) 1 (100) 1(25)
22
15 0 0 1 1 0
1
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223.1 17.7
12.5 23.5 42.6 58.5 3.2 80.8 26.4
2.0 21.3 31.1
18.5 12.9 0.2 0.2 0.9 1.2 0.2 1.3
122 (64) 11(85)
10 (100) 9(90) 13 (87) 35 (76) 3(100) 86 (80) 21 (100)
2(100) 31 (97) 50 (94)
7(32) 7(47) O(-) O(-) 1 (100) 1(100) O(-) 1 (100)
1.1 1.5
1.6 1.7 2.0 1.3 1.9 0.8 1.1
0.4 0.9 0.5
0.8 0.9 1.4 2.8
3M Company EPI-0004
Page 80 of 114 1.1 0.9-1.3 1.5 0.7-3.3
1.6 0.7-4.1 1.7 0.8-4.2 2.0 1.1 -4.0 1.3 0.9-2.0 2.0 0.4-12.1 0.7 0.5-1.0 1.1 0.6-2.0
0.4 0.0 - 8.5 0.9 0.5-1.7 0.5 0.3-0.9
0.9 0.5-1.6 1.0 0.5-2.1 ---1.6 0.1-94 -3.0 0.3 -144
Other conditions during pregnancy Normal or unspecified pregnancy and delivery
Spontaneous abortion Pregnancy
12. Dermatologic Disorders Dermatologic infections Disorders of the hair and nails Immune mediated skin conditions Other dermatologic conditions
13. Musculoskeletal Disorders Acute or unspecified arthropathies and minor tendonitis Crystalline arthritis Degenerativejoint disorders, other than spine Disorders of the spine Vasculitis and connective tissue disorders Other
14. Congenital Anomalies Congenital Anomalies Atrial septal defect
9 11.0 6 7.8
1 0.7 5 7.1 448 495.4 148 152.7 11 17.5 61 84.5 228 240.8 592 749.9 70 89.5
14 8.1 39 43.5
180 184.8 5 5.1
284 418.9 11 15.0 11 15.0 0 0.2
Table 8 (continued)
9(100) 5(83)
12 7
1 (100) 5(100) 185 (41) 84 (57) 9(82) 43 (70) 136 (60) 200 (34) 48 (69)
0 7 574 177 12 89 296 1099 131
13 (93) 31 (79)
13 63
101 (56) 5(100)
149 (52) 11 (100) 11 (100) 0(-)
305 11
576 19 19 1
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8.7 5.6
0.5 5.1 641.7 199.8 22.0 108.7
3 1 1 .2
981.7 119.8
11.8 57.0
244.0 6.6
542.5 19.3 19.3
0.2
7(58) 5(71)
O(-) 5(71) 229 (40) 98 (55) 10 (83) 55 (62) 177 (60) 260 (24) 79 (60)
12 (92) 54 (86)
150 (49) 10(91) 207 (36) 19 (100) 19 (100) 1 ( 100)
0.6 0.6
0.5 1.1 1.2 1.4 1.0 1.0 0.8 0.7
1.5 0.9
0.8 0.6 0.7 0.8 0.8
3M Company EPI-0004
Page 81 of 114
0.6 0.2-1.5 0.6 0.2-2.2
-0.5 0.1 - 1.9 1.0 0.9-1.2 1.1 0.9-1.4 1.2 0.5-2.9 0.9 0.6-1.2 1.0 0.8-1.2 0.7 0.6-0.8 0.7 0.5 -1.0
1.6 0.7 - 3.6 0.8 0.5 -1.2
0.8 0.7-0.9 0.6 0.2-1.9 0.6 0.6-0.7 0.8 0.3 -1.7 0.8 0.3-1.7
Other cardiovascular congenital abnormalities
Other congenital abnormalities with admittance
2 1.6 9 12.8
Other respiratory congenital abnormalities
0 0.3
Perinatal Disorders Disorders originating in the perinatal period Miscellaneous Other miscellaneous conditions
Routine health care Symptoms or signs
Abdominal pain Chest pain, unspecified Fever Headache with radiology Malaise and fatigue Syncope and collapse
1 1.4 1 1.4 867 897.0 240 375.5 138 163.3 627 521.6 106 76.1 106 71.1 10 8.7 65 60.2 35 35.4 8 10.0
Symptoms, signs and ill-defined conditions
Injury and Poisoning
Major traumatic injury
Minor traumatic injury
297 259.2
263 411.3 62 117.1 140 232.1
Table 8 (continued)
2(100)
3
9(100)
15
O(-) 0
1 (100) 1 (100) 279 (32) 160 (67) 130 (94) 251 (40) 72 (72) 67 (63) 10 (100) 38 (58) 28 (80) 6(75) 221 (74)
3 3 1066 286 160 780 113 130 15 80 35 10 397
126 (48) 38 (61) 86 (61)
381 85 226
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2.3
16.3
0.4
1.6 1.6 1151.8 476.4 203.8 675.3 98.0 98.5 11.4 74.2 44.8 13.3 333.9
536.4 153.2 301.9
3 ( 100)
15 ( 100)
O(-)
3 ( 100) 3 ( 100) 333 (31) 203 (71) 149 (93) 302 (39) 78 (69) 81 (62) 15 ( 100) 46 (58) 33 (94) 8 ( 80) 269 (68)
176 (46) 64 (75) 136 (60)
1.0
0.8
-
0.3 0.3 1.1 1.1 1.1 1.1 1.3 1.2 1.0 1.1 1.3 1.0 1.0
1.0 1.0 0.9
00
00
0
vo
11 o u>
<N 11 o 00 oO
3M Company EPI-0004
Page 82 of 114 0.9
0.8 0.3 - 1.9
--
0.4 0.4 0 .0 - 4.7 1.0 1.0 - 1.1 1.1 0.9 - 1.3 1.1 1.0 0.9 - 1.2 1.2 0 .9 - 1.6 1.1 0.9 - 1.5 0.9 1.0 0.7 - 1.4 1.3 1.1 0 .4 - 3.0 1.0 0 .8 - 1.1
0.9 0.8 - 1.1 1.0 0.8
11 to
4^
1 00
Other injury
61 62.1
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Table 8 (continued)
52(85)
70
81.4
57(81)
1.2
3M Company EPI-0004
Page 83 of 114
1.1 0.8-1.6
Table 9
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3M Company EPI-0004
Page 84 of 114
Observed, Expected and Unique Number o f Individuals by Plant with Risk Ratios o f Episode o f Care (with and without correction factor) and 95% Confidence Interval o f Risk Ratio (not corrected) for CCG Specialty Category, Category, and Class Descriptions
Study Comparison Group C (High Exposure Em ployees)
CCG Specialty Category, Category and Class Description 1. Infectious Diseases
Mycosis Septicemia Tuberculosis HIV Viral infections, other
Other Infections
2. Cancers and Benign Growths
Neoplasms of the head and neck Neoplasms of the gastrointestinal tract
Malignant neoplasmof colon Malignant neoplasmof liver Malignant neoplasmof pancreas Malignant neoplasmof rectumand anus Carcinoma in situ, digestive tract
___________Chemical__________ _____________ Film____________
Unique Number of
Unique Number of
Obs Exp Individuals (%)
Obs Exp Individuals (%)
R REdCc, RREn 95%Cl
445 425.5 3 1.2 1 2.1 1 0.8 0 0.4 0 1.4
439 417.1 201 181.9
3 0.9 42 20.3 3 1.2 0 0.3
1 0.3 3 0.9 0 0.3
304 (68) 3(100) 1 (100) 1 (100) 0(-) 0(-)
303 (69) 134 (67)
3(100) 29 (69) 3(100) 0(-)
1 (100) 3 (100) 0(9
492 432.5 3 1.4 3 2.8 0 1.0 0 0.5 0 1.3
482 423.2 193 230.3
0 1.3 34 30.2
1 1.9 1 0.4 0 0.5 3 1.3 1 0.5
317(64) 3(100) 3 (100) 0(-) 0(-) 0(-)
316(65) 122 (63)
0(-) 26 (76)
1 (100) 1 (100) 0(-) 3 (100) 1 (100)
1.0 1.4 0.4
-
-
-
1.0 1.4
2.0 5.5
.-
1.8
-
0.9 1.2 0.4
-
-
-
0.9 1.3 >3.3 1.8 4.5
-
1.5
-
0.8-1.1 0.2-9.2 0.0-5.5
-
0.8-1.1 1.1-1.6 0.6 -> 150 1.2-3.0 0.4-238.4
0.2-11.4
-
Benign colonic polyps Neoplasms of the respiratory tract
Malignant neoplasmof lower respiratory tract Neoplasms of bones and connective tissue Malignant neoplasmof bone Neoplasms of skin Malignant melanoma of skin Malignant neoplasmof skin other than melanoma Benign neoplasmof skin Neoplasms of the breast and female reproductive system Malignant neoplasmof female breast Malignant neoplasmof body of uterus Benign neoplasmof breast Benign ovarian cyst Benign neoplasmof ovary other than cyst Uterine leiomyoma Neoplasms of the urinary tract Malignant neoplasmof bladder Malignant neoplasmof kidney Neoplasms of male reproductive tract
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Table 9 (continued)
35 16.8 1 1.6 1 1.2
27 (77) 1(100) 1 (100)
28 25.0 1 2.4 1 1.9
23 (82) 1 ( 100) 1 ( 100)
2.0
-
0 0.4 0 0.4 75 68.8 4 1.6 11 16.6
0(-) 0(-) 68 (91) 4(100) 9(82)
0 0.6 0 0.6 81 82.8 0 1.9 22 23.4
0 (-) 0 (-) 67 (83) 0 (-) 18 (82)
-
1.1 > 2.5
0.8
60 50.6 21 22.9
59 (98) 20 (95)
59 57.4 18 27.4
56 (95) 16 ( 89)
1.1 1.3
1 1.9 1 0.2 7 9.4 8 5.1 0 0.5 4 5.3 0 1.2 0 0.7 0 0.5 5 2.6
1 (100) 1 (100) 7 (100) 8 (100) 0(-) 4(100) 0(-) 0(-) 0(-) 5 (100)
0 2.7 0 0.3 8 11.7 3 4.9 07 6.6 1 1.8 0 1.1 1 0.7 1 4.0
0 (-) 0 (-) 8 ( 100) 3 ( 100) 0 (-) 7 ( 100) 1 ( 100) 0 (-) 1 ( 100) 1 ( 100)
-
1.0 3.1
-
0.7
-
8.6
3M Company EPI-0004
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1.9 1. 1 - 3.2
--
--
-
1.1 > 2.5
0.7
-
0.8 - 1.5 0.8 -5 1 0.3 - 1.5
1.2 0.8 - 1.7 1.4 0 .7 - 2.74
---
1.1 0.3 - 1.5 2.6 0.6 - 15.1
--
0.7 0.2 - 2.8
----
7.6 0.9 - 359
BACK TO MAIN
Malignant neoplasmof prostate Malignant neoplasmof testicle Neoplasms of the nervous system Malignant neoplasmof CNS, primary Neoplasms of endocrine organs Malignant neoplasmof thyroid Other neoplasms Malignant neoplasm, other Malignant neoplasm, unspecified and secondary Metastatic cancers other than lymph nodes Carcinoma in situ, other than skin, respiratory or gastrointestinal Other benign or unspecified neoplasms Neoplasms of the hematologic system Leukemia, chronic Lymphoma Multiple myeloma Myeloproliferative syndrome Endocrine Disorders Disorders of the thyroid Acquired hypothyroidism with surgery
Table 9 (continued)
4 2.1 1 0.5 1 1.0 1 0.8 1 0.7 1 0.7 50 58.4 2 3.7 0 0.5
4(100) 1(100) 1 (100) 1 (100) 1 (100) 1 (100) 47 (94) 2(100) 0(-)
1 3.5 0 0.4 1 1.4 1 1.1 0 0.8 0 0.8 49 73.8 3 4.8 1 0.7
5 2.8 0 1.9
5(100) 0(-)
3 4.1 0 2.2
43 49.5 2 3.1 0 0.6 2 1.7 0 0.3 0 0.3 256 249.2 17 32.0 15 24.2
41 (95) 2 (100) 0(-) 2 (100) 0(-) 0(-) 164 (64) 13 (76) 13 (87)
42 61.9 7 3.8 2 0.8 3 2.0 1 0.4 1 0.3 344 317.1 25 39.8 17 30.2
1 (100) 0(-) 1 (100) 1 (100) 0(-) 0(-) 44 (90) 3(100) 1 (100)
3(100) 0(-)
42 (100) 6(86) 2 (100) 3(100) 1 (100) 1 (100) 196 (57) 21 (84) 17 (100)
7.3 1.3 0.9 -
2.4 -
1.3 0.4 1.0 1.0 0.8 1.1
00 p 1K> 1 O <1
\q 00i 1 dd
3M Company EPI-0004
Page 86 of 114 6.7 0.7 - 325 -----1.3 0.9 - 2.0 0.9 --
2.4 0.5 -15.5 --
1.3 0.4 0.0 - 1.9 -0.8 0.1-6.9 --1.0 0.8 1.1 0.5-2.3
BACK TO MAIN
Table 9 (continued)
Hyperthyroidismother than in pregnancy
1 4.3
Thyroid nodule, benign nontoxic
0 2.0
Thyroiditis
1 1.6
Diabetes
57 46.2
Diabetes Type I with complications
2 1.7
Diabetes Type I without complications
8 7.1
Diabetes Type II with complication
8 10.1
Diabetes Type II without complications
39 27.3
Disorders of lipid metabolism(hyperlipidemia) 109 97.7
Fluid and electrolyte disorders
14 11.8
Other endocrine or nutritional disorders
59 61.4
Adrenal insufficiency
0 0.3
Hyperparathyroidism
0 0.4
Hypoglycemia
4 4.8
Obesity
29 27.7
Osteoporosis
1 1.6
Other endocrine, nutritional and metabolic disorders
25 26.5
1 (100) O(-) 1 (100) 36 (63) 2 (100) 8(100) 8 (100) 35 (90) 99 (91) 12 (86) 51 (86) ' 0(-) O(-) 4 (100) 28 (97) 1 (100) 24 (96)
3 5.2 3 2.4 2 1.9 78 62.0 0 2.3 8 9.0 14 14.1 56 36.5 144 126.9 25 14.9 72 73.5 1 0.4 2 0.6 7 5.5 30 31.8 3 2.4 29 32.8
Hematologic Disorders
Anemia, acquired Disorders of hemostatic function Other hematologic disorders
30 30.7 6 5.5 2 0.6 22 24.5
23 (77) 6(100) 1(50) 19 (86)
35 37.6 5 6.9 0 0.8 30 30.0
3(100) 3 (100) 2(100) 54 (69) 0(-) 8(100) 14 (100) 53 (95) 127 (88) 20 (80) 58(81) 1 (100) 2(100) 6(86) 28 (93) 3(100) 27 (93)
32 (91) 5 (100) 0(-) 29 (97)
0.4 0.0 0.4 1.0 1.3 0.8 1.0 1.0 0.7 1.0 0.7 1.2 0.5 1.0
1.1 1.2 1.0
0 b 1 b
3M Company EPI-0004
Page 87 of 114
0.4 0.0-5.1 0.0 0.6 0.0-11.5 1.0 0.7-1.4 -1.3 0.4-3.9 0.8 0.3-2.0 0.9 0.6-1.4 1.0 0.8-1.3 0.7 0.4-1.4 1.0 0.7-1.4 --0.7 0.1-2.5 1.1 0.7-1.9 0.5 0.0-6.1 1.1 0.6-1.9
1.1 0.6-1.8 1.5 0.4-6.3 -0.9 0.5-1.6
Psychiatric Disorders Affective disorders
Depression, major without psychotic behavior Depression, minor Dissociative and personality disorders Neurotic disorders (anxiety disorders) Organic mental disorders Psychotic disorders Substance abuse Neurologic Disorders Congenital or acquired central degenerative disorders Benign essential tremor Parkinson's disease Hemorrhage, cerebrovascular, or other major CNS disorders Other diseases of the nervous system Migraine Tension headache Peripheral neuromuscular disorders Neuralgia, neuritis, radiculitis Carpel Tunnel Syndrome
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Table 9 (continued)
297 277.1 104 105.3
168 (57) 81 (78)
280 304.4 78 112.0
60 41.7
57 (95)
44 45.4
154 (55) 57 (73) 42 (95)
1.2 1.5 1.5
36 54.1 3 2.9 33 38.8 1 1.5 0 2.2 155 123.4 128 143.8 10 9.2
34 (94) 3 (100) 31 (94) 1 (100) 0(-) 118(76) 93 (73) 10 (100)
28 56.3 2 2.8 35 42.1 0 2.2 2 2.4 160 140.0 180 169.0 15 10.7
26 (93) 2(100) 32 (91) 0(-) 2(100) 114(71) 119(66) 14 (93)
1.6 1.6 1.1 1.2 0.8 0.7
0 1.3 10 6.4 13 12.1
0(-) 10 (100) 10 (77)
1 1.7 14 7.3 24 17.7
1 (100) 14 (100) 17 (71)
0.8 0.8
61 63.3 27 24.7 6 6.9 44 56.9 29 41.7 13 12.4
49 (80) 23 (85) 4(67) 41 (93) 29 (90) 13 (100)
73 71.4 21 26.2
1 7.5 68 66.7 50 48.8 17 14.8
60 (82) 18 (86) 1 (100) 62 (91) 47 (94) 17 (100)
0.9 1.3 5.6 0.8 0.7 0.9
3M Company EPI-0004
page 88 of 114
1.2 1.0-1.4 1.4 1.1-1.9 1.5 1.0-2.2
1.3 0.8-2.3 1.5 0.2-17.3 1.0 0.6-1.7 --1.1 0.9-1.4 0.8 0.7-1.1 0.8 0.3-1.8
-0.8 0.3-2.0 0.8 0.4-1.6
0.9 0.7-1.3 1.4 0.8-2.5 6.6 0.8 - 304 0.8 0.5-1.1 0.7 0.4-1.1 0.9 0.4-2.0
BACK TO MAIN
Table 9 (continued)
Opthamologic Disorders Disorders of the eye
Cataract Conjunctivitis, acute Glaucoma Cardiovascular Disorders Hypertension Atherosclerotic coronary vascular disease Carditis and cardiomyopathy/CHF Disorders of heart valves Dysrhythmia and conduction disorders Large arterial andperipheral vascular disorders Large vein thromboembolic disorders Minor venous/arterial disorders Other cardiovascular disorders Pulmonary Disorders Lower respiratory infections Obstructive pulmonary diseases Asthma Chronic obstructive pulmonary disease Other pulmonary disorders
118 185.3 118 185.3
9 9.8 19 32.3 7 12.3 322 290.2 123 103.8 67 53.3 7 8.0 13 8.2 9 15.7 2 3.5 3 6.0 0 9.6 98 81.3 643 481.3 246 211.3 42 41.3 18 25.6 24 15.7 340 215.4
80 (68) 80 (68) 9(100) 19 (100) 7(100) 175 (54) 111 (90) 39 (58) 6(86) 13 (100) 8(89) 2(100) 2(67) 0(-) 81 (83) 287 (45) 138 (56) 35 (83) 17 (94) 24 (100) 247 (73)
153 216.8 153 216.8 13 15.1 19 35.6 12 16.4 443 390.5 162 135.9 106 76.3
9 11.9 16 11.1 15 21.9 3 5.3 6 7.8 0 12.1 126 107.2 681 540.9 262 241.6 47 49.3 21 28.0 26 21.2 353 232.7
108 (71) 108 (71) 12 (92) 18 (95) 12 (100) 222 (50) 146 (90) 50 (47)
8(89) 16 (100) 14 (93) 3(100) 6(100) 0(-) 100 (79) 293 (43) 140 (53) 44 (94) 20 (95) 26 (100) 254 (72)
0.9 0.9 1.0 1.1 0.8 1.0 1.0 1.0 1.1 1.0 1.0 1.2 0.7 1.1 1.1 1.1 1.2 1.1 1.3 1.1
0 1 is>
3M Company EPI-0004
page 89 0f 114
0.9 0.9 0.7 -1.2 1.1 0.4-2.7 1.1 0.6-2.2 0.8 0.3-2.1 1.0 0.9-1.1 1.0 0.8-1.3 0.9 0.7-1.2 1.2 0.4-3.5 1.1 0.5 - 2.4 0.8 0.3-2.0 1.0 0.1-9.0 0.7 0.1-3.1 -1.0 0.8-1.4 1.1 1.0-1.2 1.1 0.9-1.3 1.1 0.7 -1.7 1.0 0.5-1.8 1.3 0.7-2.3 1.0 0.9-1.2
Atelectasis Painful respiration Pleurisy with or without effusion Pulmonary eosinophilia Other disorders of the respiratory system Pulmonary edema Respiratory failure Sleep disorders
8b. Ear, Nose and Throat Disorders
Disorders of the ear and vestibular apparatus Upper respiratory infections
Pharyngitis, acute Sinusitis, acute Sinusitis, chronic with surgery Upper respiratory infection and common cold, acute Other upper respiratory disorders Allergic rhinitis
9. Gastrointestinal Disorders
Disorders of esophagus Disorders of stomach and duodenum Disorders of the small intestine
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Table 9 (continued)
4 2.4 20 15.1 2 7.1 7 2.1 304 185.6 2 5.0 0 0.3 13 8.1 1048 952.0 167 190.3 747 625.7 164 151.9 287 189.6 69 58.2 215 212.1
4(100) 15 (75) 2(100) 7 (100) 231 (76) 2(100) 0(-) 13 (100) 293 (28) 98 (59) 249 (33) 89 (54) 129 (45) 68 (99) 96 (45)
3 3.4 27 17.7 8 8.7 8 2.8 302 196.0 2 6.9 1 0.3 16 10.1 1134 1025.9 183 211.0 789 669.1 139 152.9 313 206.3 79 63.8 249 233.3
3 (100) 26 (96) 7(88) 8(100) 240 (79) 2(100) 1 (100) 15 (94) 306 (27) 116(63) 245 (31) 80 (57) 124 (40) 77 (97) 113(45)
134 136.0 110 115.4 455 363.1 54 36.1 47 33.2
2 3.2
113 (84) 102 (93) 192 (42) 44(81) 37 (79)
2 (100)
162 145.9 128 123.4 541 437.3 75 44.5 75 40.2
2 3.3
129 (80) 117(91) 231 (43) 63 (84) 51 (68)
2(100)
1.5 1.0 0.2 1.2 1.2 1.1 1.1 1.1 1.1 1.1 1.3 1.0 1.1 1.1
0.9 0.9 1.1 0.9 0.8 1.2
3M Company EPI-0004
Page 90 of 114
1.9 0.3 -12.9 0.9 0.5-1.6 0.3 0.0- 1.5 1.2 0.4 - 3.7 1.1 0.9-1.3 1.4 0.1-19.1 -1.0 0.5-2.2 1.0 0.9-1.1 1.0 0.8- 1.3 1.0 0.9-1.1 1.2 0.9-1.5 1.0 0.9-1.2 1.0 0.7-1.3 1.0 0.8-1.1
0.9 0.7-1.1 0.9 0.7 -1.2 1.0 0.9-1.2 0.9 0.6 -1.3 0.8 0.5-1.1 1.0 0.1-14
Hernias Inflammatory bowel disease Disorders of the large intestine Disorders of the liver
Cirrhosis of the liver without mention of alcohol Hepatitis, acute alcoholic Hepatitis, acute without hepatic coma Hepatitis, chronic without hepatic coma Disorders of the biliary tract Cholecystitis without cholelithiasis, acute Cholecystitis without cholelithiasis, chronic or other Cholelithiasis with acute cholecystitis Cholelithiasis with chronic or unspecified cholecystitis Cholelithiasis without cholecystitis Disorders of the pancreas Pancreatitis, acute Pancreatitis, chronic Other gastrointestinal disorders
Urologic Disorders
Disorders of renal function
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Table 9 (continued)
19 24.5
17 (89)
42 31.0
8 6.0 106 75.5
3 4.3 2 0.6
8 (100) 79 (75) 3(100) 2 (100)
7 7.0 122 94.7
2 5.0 0 0.8
38 (90) 7(100) 85 (70) 2(100) 0(-)
0.6 1.3 1.2 2.0 -
0 0.3 0 1.8 1 1.2 22 16.7 1 1.4 5 2.6
0(-) 0(-) 1 (100) 11(50) 1 (100) 5(100)
1 0.3 1 2.0 0 1.3 17 21.8 2 1.9 4 3.3
1 (100) 1 (100) 0(-) 10 (59) 2(100) 4 (100)
1.8 0.8 1.8
7 2.8 6 5.9
5(71) 6(100)
1 3.7 4 7.6
1 (100) 4(100)
10.9 2.1
3 3.9 7 3.0 6 2.6 1 0.4 187 160.5 288 185.6 4 2.8
3 (100) 1(14) 1(17) 1 (100) 145 (78) 114(40) 3(75)
6 5.2 2 4.0 2 3.4 0 0.5 197 185.9 331 230.4 2 3.6
6 (100) 1(50) 1(50) 0(-) 157 (80) 155 (47) 2(100)
0.7 3.3 2.9 1.2 1.1 2.6
0b 0LO
3M Company EPI-0004
page 91 of 114
0.6 1.3 0.4-4.2 1.1 0.8-1.4 1.8 0.2-21 --
---1.7 0.7 0.0-13.1 1.6 0.3 - 8.0
9.3 1.2-415 1.9 0.5-9.3
0.7 0.1 -3.1 4.7 0.9-46 4.0 0.7-41 -1.1 0.9 -1.4 1.1 0.9-1.3 2.6 0.4 - 29
L1O LO
-1H*
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Chronic renal failure Disorders of renal parenchyma
Renal cyst Lower andunspecified urinary tract infections
Cystitis Urinary tract, not specified Other disorders of the lower urinary tract Urethral stricture Other disorders of the upper urinary tract Calculus of urinarytract Other genitourinary disorders Other diseases with surgery Upper urinary tract infections Acute pyelonephritis Disorders of the prostate Prostatic hyperplasia Prostatitis, acute
Gynecologic and Reproductive Disorders
Disorders of the female breast (non-malignant)
Fibrocystic disease of breast Fertility and infertility management
Table 9 (continued)
3 1.8 3 1.2 3 1.2 83 59.3 29 14.4 54 44.9 2 3.0 2 3.0 58 23.8 58 23.8 39 33.8 39 33.8 7 2.7 7 2.7 92 59.1 43 29.2 49 29.9 225 236.4 22 16.7
3 (100) 3(100) 3 (100) 38 (46) 15 (52) 31 (57) 2(100) 2(100) 24 (41) 24 (41) 38 (97) 38 (97) 6(86) 6(86) 61 (66) 38 (88) 35 (71) 117(52) 19 (86)
1 2.3 1 1.5 1 1.5 73 68.1 25 16.5 48 51.6 13 3.6 13 3.6 60 28.8 60 28.8 61 41.4 61 41.4 6 3.0 6 3.0 115 80.4 60 43.8 55 36.6 232 251.2 15 20.8
18 11.7 88 91.6
17 (94) 71 (81)
11 14.7 109 89.8
1 (100) 1 (100) 1 (100) 48 (66) 18 (72) 35 (73) 12 (92) 12 (92) 31 (52) 31 (52) 60 (98) 60 (98) 4(67) 4(67) 84 (73) 57 (95) 40 (73) 137 (59) 14 (93)
11 (100) 88 (81)
4.0 3.6 3.6 1.4 1.4 1.3 0.2 0.2 1.3 1.3 0.8 0.8 1.3 1.3 1.1 1.1 1.2 1.1 1.8
2.0 0.9
0
VO
1
bo
0o
VO VO
1!
VO b o
vq 11
00
00 00 11
oo
3M Company EPI-0004
Page 92 of 114
3.8 0.3-200 3.9 0.3-202 3.8 0.3-202 1.3 1.3 0.8-2.4 1.3 0.2 0.2 1.2 0.8-1.7 1.2 0.8-1.7 0.8 0.5 -1.2 0.8 0.5-1.2 1.3 1.3 0.4-4.6 1.1 1.1 0.7 -1.6 1.1 0.7 -1.6 1.0 0.9-1.2 1.8 0.9-3.7
2.1 0.8 0.6- 1.1
Contraceptive or procreative management Infertility female Impotence of organic origin Other disorders of the male reproductive system Infections of the female genital tract Menopausal and menstrual disorders Other gynecologic disorders Endometriosis
Pregnancy
Complicated pregnancy or delivery Diabetes, gestational Multiple gestational Postpartumhemorrhage Pregnancy with abortion Pregnancy, ectopic Pretermlabor Other conditions during pregnancy
Normal or unspecified pregnancy anddelivery Spontaneous abortion Pregnancy
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Table 9 (continued)
23 37.4 2 2.9 36 19.3 27 32.0
22 (96) 2 (100) 34 (94) 26 (96)
19 24.8 1 1.8 38 27.1 51 36.1
19 (100) 1 (100) 37 (97) 50 (98)
0.8 1.7 1.3 0.7
19 26.6 27 40.4 69 61.1 8 3.6 19 31.4 14 21.1 1 0.4 1 0.3 0 1.2 0 1.9 0 0.3 6 2.2 6 14.3 5 10.4 0 0.9 5 9.5
14 (74) 19 (70) 46 (67) 8(100) 6(32) 5 (36) 1 (100) 1 (100) 0(-) 0(-) 0(-) 2(33) 5(83) 5(100) 0(-) 5(100)
19 25.2 29 49.7 60 65.6 3 3.5 6 14.7 4 10.6 0 0.2 0 0.2 0 0.8 0 1.0 0 0.2 0 0.9 4 7.1 2 4.1 0 0.4 2 3.7
13 (68) 20 (69) 45 (75) 3(100) 4(67) 4(100) 0(-) 0(-) 0(-) 0(-) 0(-) 0(-) 4(100) 2(100) 0(-) 2(100)
1.1 1.1 1.2 3.4 1.9 2.2 >2.7 0.9 1.5 1.5
*o 1 o
3M Company EPI-0004
page 93 of 114
0.8
1.2 0.1-73
1.3 0.8-2.2
0.6 0.4-1.0
1.0 1.1 1.2 2.6 1.5 1.8 >2.7 0.8 1.0 1.0
0.5 -1.9 0.7-2.0 0.9- 1.8 0.6-15.2 0.6-4.5 0.6-7.4
0.5 - 27 0.2-3.6 0.2 -10.4 0.2-10
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Table 9 (continued)
Dermatologic Disorders
Dermatologic infections Disorders of the hair and nails Immune mediated skin conditions Other dermatologic conditions
Musculoskeletal Disorders
Acute or unspecified arthropathies and minor tendonitis Crystalline arthritis Degenerativejoint disorders, other than spine Disorders of the spine Vasculitis and connective tissue disorders Other
Congenital Anomalies
Congenital Anomalies Atrial septal defect Other cardiovascular congenital abnormalities Other congenital abnormalities with admittance Other respiratory congenital abnormalities
605 658.4 204 205.4
9 21.9 94 111.4 298 319.7 1081 980.8 105 118.2
10 11.1 44 53.0 300 246.9 10 6.1 612 545.4 19 19.6 19 19.6 0 0.2
1 2.1
17 16.8
1 0.4
252 (42) 115(56)
8(89) 60 (64) 194 (65) 274 (25) 70 (67)
9(90) 33 (75) 166 (55) 10 (100) 222 (36) 19 (100) 19 (100) 0(-) 1 (100)
17 (100)
1 (100)
682 743.0 215 230.8
19 26.0 108 125.1 340 361.1 1357 1137.3 157 139.5
15 14.2 90 69.2 389 279.8 12 7.9 694 626.5 17 22.3 17 22.3 0 0.3 4 2.8
12 18.6
1 0.5
265 (39) 125 (58) 16 (84) 63 (58) 200 (59) 316(23) 91 (58)
15 (100) 74 (82) 178 (46) 11 (92) 252 (36) 16 (94) 16 (94) 0(-) 4(100)
12 (100)
1 (100)
1.1 1.2 0.6 1.0 1.1 1.0 0.9
0.8 0.7 0.9 1.2 1.1 1.2 1.2 0.4
1.5
.
3M Company EPI-0004
page 94 of 114
1.0 0.9-1.1 1.1 0.9-1.3 0.6 0.2-1.3 1.0 0.7 -1.3 1.0 0.8 - 1.2 0.9 0.9-1.0 0.8 0.6-1.0
0.9 0.3-2.0 0.6 0.4-0.9 0.9 0.8 - 1.0 1.1 0.4-2.7 1.0 0.9-1.1 1.3 0.6-2.6 1.3 0.6-2.6 -0.4 0.0-3.4
1.6 0.7 - 3.6
.
15. Perinantal Disorders Conditions originating in the perinatal period
16. Miscellaneous Other miscellaneous conditions Routine health care Symptoms or signs Abdominal pain Chest pain, unspecified Fever Headache with radiology Malaise and fatigue Syncope andcollapse Symptoms, signs and ill-defined conditions
17. Injury and Poisoning
Major traumatic injury Minor traumatic injury Other injury
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Table 9 (continued)
1 1.9 1 1.5
1 (100) 1 (100)
3 1.7 3 1.4
3 (100) 3 (100)
0.2 0.2
1196 1169.0 273 486.6 152 212.2 923 682.3 146 98.1 146 93.0
17 11.8 104 76.1 44 44.7 19 13.0 447 344.6
379 (32) 195 (71) 144 (95) 351 (38) 109 (75) 100 (68) 17 (100) 58 (56) 35 (80) 15 (88) 312(70)
1234 1332.7 297 549.5 161 232.1 937 783.2 133 114.2 169 118.7
18 13.1 84 84.1 57 52.0 15 16.0 461 383.7
387 (31) 214 (72) 149 (93) 358 (38) 93 (70) 102 (59)
18 (100) 48 (57) 49 (86) 11(61) 321 (70)
1.2 1.1 1.1 1.2 1.4 1.2 1.0 1.4 0.9 1.6 1.2
416 561.0 96 159.7 227 317.7 93 83.6
210 (50) 70 (73) 143 (63) 81 (87)
464 605.4 109 172.8 271 339.0 84 93.5
223 (48) 82 (75) 167 (62) 70 (83)
1.1 1.0 1.0 1.4
3M Company EPI-0004
Page 95 of 114
0.3 0.0-3.8 0.3 0.0-3.9
1.1 1.0 - 1.2 1.0 0.9 - 1.2 1.0 0.8 - 1.3 1.1 1.0 - 1.2 1.3 1.0-1.6 1.1 0 .9 -1.4 1.1 0 .5 - 2.1 1.4 1.0 - 1.8 0.9 0 .6 -1.4 1.6 0 .8 -3.2 1.1 1. 0 - 1.2
1.0 0.9-1.1 1.0 0.7-1.3 0.9 0. 8 - 1.1 1.2 0.9-1.7
Table 10
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3M Company EPI-0004
Page 96 of 114
Observed, Expected and U nique Number o f Individuals by Plant with Risk Ratios o f Episode o f Care (with and without correction factor) and 95% Confidence Interval o f Risk Ratio (not corrected) for CCG Specialty Category, Category, and Class Descriptions
Study Comparison Group D (Long-Term High Exposure Em ployees)
CCG Specialty Category, Category and Class Description 1. Infectious Diseases
Mycoses Septicemia Tuberculosis HIV Viral infections, other Other infections
2. Cancers and Benign Growths
Neoplasms of the head and neck Neoplasms of the gastrointestinal tract
Malignant neoplasmof colon Malignant neoplasmof liver Malignant neoplasmof pancreas Malignant neoplasmof rectumand anus Carcinoma in situ, digestive tract
Chemical Unique Number of
Obs Exp Individuals (%)
Obs Exp
Film
Unique Number of Individuals (%)
217 190.2 2 0.6 1 1.3 0 0.4 0 0.2 0 0.5
214 187.2 113 98.1
0 0.6 33 13.2 3 0.8 0 0.2
1 0.2 3 0.6 0 0.2
149 (70) 2 (100) 1 (100) 0(-) 0(-) O(-)
148 (69) 76 (67) 0(-) 22 (67) 3 (100) 0(-)
1 (100) 3(100) 0(-)
380 332.3 2 1.2 1 2.3 0 0.8 0 0.4 0 0.9
377 326.7 137 189.1
0 1.1 22 25.9 0 1.6
1 0.4 0 0.4 0 1.1 0 0.4
235 (62) 2(100) 1 (100) 0(-) 0(-) 0(-)
235 (62) 89 (65) 0(-) 19 (86) 0(-) 1 (100) 0(-) 0(-) 0(-)
RRE,,Ccr RREnC
1.0 1.6 1.0 1.6 3.2 >3.8 >5.0
-
1.0 1.9 1.0 1.6 2.9 >3.8 >5.0
-
95% Cl
0.8 - 1.2 0.1-26.5
0.8 - 1.2 1.2-2.1 1.7-5 .2 0.9 - 60 0.9-62
-
Benign colonic polyps Neoplasms of the respiratory tract
Malignant neoplasmof lower respiratory tract Neoplasms of bones and connective tissue Malignant neoplasmof bone Neoplasms of skin Malignant melanoma of skin Malignant neoplasmof skin other than melanoma Benign neoplasmof skin Neoplasms of the breast and female reproductive system Malignant neoplasmof female breast Malignant neoplasmof body of uterus Benign neoplasmof breast Benign ovarian cyst Benign neoplasmof ovary other than cyst Uterine leiomyoma Neoplasms of the urinary tract Malignant neoplasmof bladder Malignant neoplasmof kidney Neoplasms of male reproductive tract
Table 10 (continued)
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3M Company EPI-0004
Page 97 of 114
26 11.0
20 (77)
21 21.4
18 ( 86)
2.7 2.4
1.3 - 4.5
1 1.0
1 (100)
0 2.0
0 (-)
--
-
1 0.8
1 (100)
0 1.6
0 (-)
--
-
0 0.2 0 0.2 41 38.1 3 1.0 7 10.7
0(-) 0(-) 38 (93) 3(100) 5(71)
0 0.5 0 0.5 60 68.1 0 1.6 16 20.1
0 (-) 0 (-) 49 ( 82) 0 (-) 14 (88)
-
1.3 > 3.0
1.0
-
1.2 > 3.0
0.8
-
0 .8 - 1.9 0.8 - 52 0.3 - 2.1
31 26.5 4 7.3
31 (100) 3(75)
44 46.4 11 20.7
42 (95) 10 (91)
1.3 1.2 0.8 - 2.0 1.0 1.0 0.2 - 3.5
1 0.7 0 0.1 2 3.3 0 1.2 0 0.1 1 1.7 0 0.8 0 0.5 0 0.3 5 1.8
1 (100) 0(-) 2 (100) 0(-) 0(-) 1 (100) 0(-) 0(-) 0(-) 5(100)
0 2.1 0 0.2 4 8.9 2 3.5 0 0.4 5 5.0 1 1.5 0 0.9 1 0.6 1 3.4
0 (-) O(-) 4 ( 100) 2 ( 100) 0 (-) 5 ( 100) 1 ( 100) 0 (-) 1 ( 100) 1 ( 100)
---
1.1 1.4 0.0 0.0
--
0.6 0.6
----
10.3 9.7
-
0.1 - 9.6 0 .0 - 1 5
-
0.0 - 5.3
-
1.1 -458
Malignant neoplasmof prostate Malignant neoplasm of testicle Neoplasms of the nervous system Malignant neoplasm of CNS, primary Neoplasms of endocrine organs Malignant neoplasm of thyroid Other neoplasms Malignant neoplasm, other Malignant neoplasm, unspecified and secondary Metastatic cancers other than lymph nodes Carcinoma in situ, other than skin, respiratory or gastrointestinal Other benign or unspecified neoplasms Neoplasms of the hematologic system Leukemia, chronic Lymphoma Multiple myeloma Myeloproliferative syndrome
Endocrine Disorders
Disorders of the thyroid Acquired hypothyroidism with surgery
4 1.5 1 0.3 1 0.5 1 0.4 0 0.3 0 0.3 26 32.5 1 2.1 0 0.3
2 1.7 0 0.8
23 27.7 2 1.8 0 0.4 2 1.0 0 0.2 0 0.2 148 139.8 4 14.9 4 11.2
BACK TO MAIN
ible 10 (continued)
4(100) 1 (100) 1 (100) 1 (100) O(-) 0(-) 24 (92) 1 (100) 0(-)
1 3.1 0 0.3 0 1.1 0 0.9 0 0.6 0 0.6 36 60.9 3 4.0 1 0.6
1 (100) 0(-) 0(-) 0(-) 0(-) 0(-) 32 (89) 3 (100) 1 (100)
2 (100) 0(-)
1 3.4 0 1.7
1 (100) 0(-)
21 (91) 2(100) O(-) 2 (100) 0(-) 0(-) 96 (65) 4(100) 4(100)
31 51.1 6 3.2 2 0.7 2 1.7 1 0.3 1 0.3 277 262.5 20 31.7 14 24.1
31 (100) 5(83) 2 (100) 2 (100) 1 (100) 1 (100) 154 (56) 16 (80) 14 (100)
3M Company EPI-0004
Page 98 of 114
8.8 8.2 0.8 - 399
--
-
--
-
--
-
--
-
--
-
1.4 1.4
0.8 - 2.3
0.6 0.7
0.0-8.1
--
-
3.7 4.1 --
0.2 - 242 -
1.4 1.4 0.7 0.6 0.0 0.0 2.0 1.7 --1.0 1.0 0.4 0.4 0.6 0.6
0.8 - 2.4 0.1 - 3.2 0.0 - 9.9 0.1-23
0.8 -1.2 0.1- 1.3 0.2 - 2.0
Hyperthyroidismother than in pregnancy Thyroid nodule, benign nontoxic Thyroiditis Diabetes Diabetes Type I with complications Diabetes Type I without complications Diabetes Type II with complications Diabetes Type II without complications Disorders of lipid metabolism (hyperlipidemia) Fluid and electrolyte disorders Other endocrine or nutritional disorders Adrenal insufficiency Hyperparathyroidism Hypoglycemia Obesity Osteoporosis Other endocrine, nutritional and metabolic disorders
4. Hematologic Disorders
Anemia, acquired Disorders of hemostatic function
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Table 10 (continued)
0 2.0
0 0.9 0 0.7 42 28.1 1 1.1 8 4.2 6 6.3 27 16.5 65 59.9
0(-) 0(-) 0(-) 25 (60) 1 (100) 8(100) 6(100) 25 (93) 60 (92)
3 4.2 2 2.0 1 1.5 60 52.2 0 2.0 7 7.5 10 11.9 43 30.8 125 107.2
3 (100) 2(100) 1 (100) 41 (68) 0(-) 7(100) 10 (100) 40 (93) 110 (88)
6 6.1 31 30.8 0 0.1 0 0.2 3 2.6 13 13.4 0 0.8 15 13.7
5(83) 28 (90) 0(-) 0(-) 3(100) 13 (100) 0(-) 15 (100)
16 12.1 56 59.3
1 0.3 1 0.5 7 4.5 25 25.3 2 1.9 20 26.8
12 (75) 45 (80)
1 (100) 1 (100) 6(86) 23 (92) 2(100) 18 (90)
18 15.5
2 2.7 2 0.3
12 (67) 2(100) 1(50)
28 30.4 4 5.6 0 0.6
25 (89) 4(100) 0(-)
3M Company EPI-0004
Page 99 of 114
0.0 0.0
0.0 - 5.0
--
--
1.3 1.3
0.9 - 2.0
--
2.0 2.0
0.7 - 6.6
1.2 1.1
0.3 - 3.5
1.1 1.2
0.7-1.9
1.0 0.9
0.7 - 1.3
0.7 0.7 1.1 1.1 --0.6 0.7 1.0 1.0 -1.4 1.5
0.2 - 2.0
0.7 - 1.7
0.1 -3.3 0.5 - 2.0 0.7 - 3.0
1.1 1.3 0.8 1.0 --
0.7 - 2.4 0.1 -7.3
Other hematologic disorders Psychiatric Disorders Affective disorders
Depression, major without psychotic behavior Depression, minor Dissociative andpersonality disorders Neurotic disorders (anxiety disorders) Organic mental disorders Psychotic disorders Substance abuse Neurologic Disorders Congenital or acquired central degenerative disorders Benign essential tremor Parkinson's disease Hemorrhage, cerebrovascular, or other major CNS disorders Other diseases of the nervous system Migraine Tension headache Peripheral neuromuscular disorders Neuralgia, neuritis, radiculitis
BACK TO MAIN
Table 10 (continued)
14 12.5 144 136.5 40 50.6 24 20.2
11 (79) 79 (55) 28 (70) 22 (92)
24 24.2 206 242.2 56 88.4 28 36.0
23 (96) 116(56) 38 (68) 29 (100)
12 25.8 0 1.4 16 19.3 1 1.0 0 1.1 87 61.9 60 73.2 6 4.9
11 (92) O(-) 15 (94) 1 (100) 0(-) 64 (74) 45 (75) 6(100)
23 44.3 0 2.2 30 33.5 0 1.9 2 1.9 117 112.0 130 136.2 11 8.7
21 (91) 0(-) 27 (90) 0(-) 2 (100) 87 (74) 90 (69) 10 (100)
0 0.8 6 3.3 9 7.4
0(-) 6(100) 7(78)
1 1.4 10 5.9 17 15.0
1 (100) 10 (100) 13 (76)
25 29.7 9 10.5 4 3.0 20 30.2 15 22.3
20 (80) 9 (100) 3(75) 20 (100) 15 (100)
48 56.5 14 20.2 1 5.9 54 54.2 41 39.7
41(85) 12 (86) 1 (100) 49 (91) 39 (95)
3M Company EPI-0004
Page 100 of 114
1.1 1.1
0.6 - 2.3
1.3 1.2
1.0- 1.5
1.4 1.3
0.8- 1.9
1.6 1.5
0.9-2.7
1.1 0.9 -1.0 0.9 --1.3 1.4 0.8 0.9 0.9 1.0
0.4-1.9 0.5 - 1.8
1.0 - 1.8 0.6 - 1.2 0.3-2.9
-1.0 1.1 1.0 1.1
0.3 - 3.2 0.4 - 2.5
0.9 1.0 1.1 1.2 5.5 7.9 0.7 0.7 0.7 0.7
0.6 - 1.6 0.5-3.1 0.8 - 384 0.4- 1.1 0.3- 1.2
Carpel Tunnel Syndrome Seizure disorders
Opthamologic Disorders
Disorders of the eye Cataract Conjunctivitis, acute Glaucoma
Cardiovascular Disorders
Hypertension Atherosclerotic coronary vascular disease Carditis and cardiomyopathy/CHF Disorders of heart valves Dysrhythmia and conduction disorders Large arterial andperipheral vascular disorders Large vein thromboembolic disorders Minor venous/arterial disorders Other cardiovascular disorders
Pulmonary Disorders
Lower respiratory infections Obstructive pulmonary diseases
Asthma
BACK TO MAIN
Table 10 (continued)
4 6.3 0 0.9 72 94.9 72 94.9 7 6.0 12 15.5 6 7.4 205 174.5 73 62.9 50 35.3 2 5.0 5 4.6 7 9.7 2 2.2
4(100) O(-) 46 (64) 46 (64) 7(100) 12 (100) 6 (100) 105 (51) 66 (90) 28 (56) 1(50) 5 (100) 6(86) 2(100)
12 11.9 0 1.5 124 174.3 124 174.3 9 12.7 14 28.0 10 13.8 355 328.3 134 114.3 84 65.7 2 10.1 16 9.2 12 18.5 2 4.6
12 (100) 0(-) 84 (68) 84 (68) 8(89) 13 (93) 10 (100) 182(51) 122(91) 40 (48) 2 (100) 16 (100) 11 (92) 2(100)
3M Company EPI-0004
Page 101ofl 14
O rK>
0.6 0.6 -1.1 1.1 1.1 1.1 1.5 1.7 1.6 1.6 1.1 1.1 1.1 1.1 1.0 1.0 1.1 1.1 2.0 2.0 0.6 0.6 1.2 1.1 2.3 2.0
0.8- 1.4 0.8 - 1.4 0.5 - 5.0 0.7 - 3.6 0.3 - 3.4 0.9- 1.3 0.7 - 1.3 0.8 - 1.6 0.2 - 28 0.2- 1.8 0.4-3.1 0.2-28
1 3.3 0 4.7 65 46.3 314 239.8 110 107.4 20 21.6 6 12.4
1 (100) 0(-) 53 (82) 144 (46) 61 (55) 17 (85) 6(100)
4 6.4 0 9.7 101 89.0 515 431.0 191 193.7 37 39.9 17 22.1
4(100) 0(-) 81 (80) 224 (43) 114(60) 34 (92) 16 (94)
0.5 0.5 0.0 - 4.9
--
-
1.2 1.2 0.9- 1.7
1.1 1.1 1.0-1.3
1.0 1.0 0.8-1.3
1.0 1.0 0.6- 1.8
0.7 0.6 0.2-1.7
Table 10 (continued)
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3M Company EPI-0004
Page 102 of 114
Chronic obstructive pulmonary disease
14 9.1
14 (100)
20 17.7
20 (100)
1.3 1.4 0.7 - 2.8
Other pulmonary disorders
175 102.8 125(71)
275 182.9
195 (71)
1.1 1.1 0.9-1.4
Atelectasis
2 1.5
2(100)
2 2.9
2(100)
1.7 1.9 0.1-26.6
Painful respiration
12 8.0
8(67)
23 14.3
22 (96)
1.0 0.9 0.4 - 2.0
Pleurisy with or without effusion
0 3.8
0(-)
5 7.1
4(80)
0.0 0.0 0.0 - 2.0
Pulmonary eosinophilia
5 1.2
5(100)
6 2.4
6(100)
1.4 1.6 0.4-6.3
Other disorders of the respiratory system 154 86.4 116
235 152.8
184 (78)
1.2 1.2 0.9 -1.4
Pulmonary edema
1 3.0
1 (100)
0 5.8
0(-)
--
Respiratory failure
0 0.2
0(-)
0 0.3
0(-)
--
Sleep disorders
8 5.0
8(100)
12 8.5
11 (92)
1.4 1.1 0.4-3.0
8b. Ear, Nose and Throat Disorders
499 468.0 130 (26)
891 811.9
230 (26)
1.0 1.0 0.9- 1.1
Disorders of the ear and vestibular apparatus
94 98.1
52 (55)
133 169.2
86 (65)
1.3 1.2 0.9-1.6
Upper respiratory infections
339 303.6 111 (33)
640 527.7
189 (30)
1.0 0.9 0.8 - 1.1
Pharyngitis
63 69.9
38 (60)
112 118.0
67 (60)
1.1 1.0 0.7- 1.3
Sinusitis, acute
137 92.5
62 (45)
262 163.3
95 (36)
0.9 0.9 0.8 - 1.1
Sinusitis, chronic with surgery
33 29.4
32 (97)
60 50.9
56 (93)
1.0 1.0 0.6-1.5
Upper respiratory infection and Common cold, acute
106 106.0
43 (41)
200 186.0
88 (44)
0.9 0.9 0.7-1.2
Other upper respiratory disorders
66 66.3
53 (80)
118 115.0
94 (80)
0.9 1.0 0.7 - 1.3
Allergic rhinitis
54 55.6
49 (91)
95 97.0
86 (91)
0.9 1.0 0.7 -1.4
9. Gastrointestinal Disorders
254 198.8
94 (37)
426 358.2
181 (42)
1.1 1.1 0.9 -1.3
Disorders of esophagus
27 20.6
23 (85)
63 36.9
53 (84)
0.8 0.8 0.5 - 1.2
Disorders of stomach and duodenum Disorders of the small intestine Hernias Inflammatory bowel disease Disorders of the large intestine Disorders of the liver
Cirrhosis of liver without mention of alcohol Hepatitis, acute alcoholic Hepatitis, acute without hepatic coma Hepatitis, chronic without hepatic coma Disorders of the biliary tract Cholecystitis without cholelithiasis, acute Cholecystitis without cholelithiasis, chronic or other Cholelithiasis with acute cholecystitis Cholelithiasis with chronic or unspecified cholecystitis Cholelithiasis without cholecystitis Disorders of the pancreas Pancreatitis, acute Pancreatitis, chronic Other gastrointestinal disorders
Table 10 (continued)
25 18.1 1 1.6 6 14.9 3 3.1
66 43.4 2 2.5 2 0.4
19 (76) 1 ( 100) 6 ( 100) 3 ( 100)
47 (71) 2 ( 100) 2 ( 100)
64 1
33 4
94 2 0
0 0.1 0 1.0 0 0.7 18 8.8 1 0.7 3 1.3
0 (-) 0 (-) 0 (-) 8 (44) 1 ( 100) 3 ( 100)
1 1 0 14 1 4
6 1.5 5 3.1
4 (67) 5 ( 100)
0 4
3 2.1 7 1.8 6 1.6 1 0.3 99 83.9
3 ( 100) 1 ( 14) 1 ( 17) 1 ( 100) 75 (76)
5 2 2 0 149
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3M Company EPI-0004
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33.0 41 (64)
0.7 0.7 0.4- 1.2
2.6 1 (100)
--
-
26.0 30 (91)
0.3 0.3 0.1 -0.8
5.6 4(100)
1.3 1.3 0.2 - 7.9
78.6 63 (67)
1.3 1.3 0.9- 1.8
4.2 2(100)
2.0 1.7 0.1-23
0.7 O(-)
--
-
0.2 1 (100) 1.6 1 (100) 1.1 O(-) 17.8 9(64) 1.6 1 (100) 2.7 4(100)
--
-
--
-
--
-
2.4 2.6 1.2-5.5
--
-
1.4 1.5 0.2 - 9.0
3.1 0(-)
>4.0 >4.0
2.1-128
6.2 4(100)
2.3 2.5 0.5 - 12.7
4.3 3.4 2.9 0.5 150.2
5 (100) 1(50) 1(50) O(-) 119(80)
1.0 1.2 0.2 - 6.2
4.3 6.4
1.2 - 63
3.7 5.5
1.0-56
--
-
1.2 1.2 0.9- 1.5
Table 10 (continued)
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3M Company EPI-0004
Page 104 of 114
10a. Urologie Disorders
175 102.8
71 (41)
268 190.3
123 (46)
1.2 1.2 1.0- 1.5
Disorders of the renal function
3 1.7
2(67)
1 3.0
1 (100)
5.3 5.5 0.4 - 287
Chronic renal failure
2 1.1
2(100)
0 1.9
1 (100)
--
-
Disorders of renal parenchyma
2 0.7
2(100)
1 1.3
1 (100)
3.0 3.6 0.2-213
Renal cyst
2 0.7
2(100)
1 1.3
1 (100)
3.0 3.6 0.2-211
Lower and unspecified urinary tract infections 49 24.5
20 (41)
49 53.1
34 (69)
2.2 2.2 1.4-3.3
Cystitis
18 5.7
7(39)
17 12.8
13 (76)
2.6 2.4 1.2-4.8
Urinary tract, not specified
31 18.8
16 (52)
32 40.4
25 (78)
2.0 2.1 1.2-3.5
Other disorders of the lower urinary tract
1 1.7
1 (100)
13 2.9
12 (92)
0.2 0.1 0.0 - 0.9
Urethral stricture
1 1.7
1 (100)
13 2.9
12 (92)
0.2 0.1 0.0 - 0.9
Other disorders of the upper urinary tract Calculus of urinary tract
30 14.5 30 14.5
15 (50) 15 (50)
50 24.2 50 24.2
24 (48) 24 (48)
1.0 1.0 0.6-1.6 1.0 1.0 0.6 -1.6
Other genitourinary disorders
21 18.7
20 (95)
49 34.0
48 (98)
0.8 0.8 0.5 - 1.3
Other diseases with surgery
21 18.7
20 (95)
49 34.0
48 (98)
0.8 0.8 0.5-1.3
Upper urinary tract infections
3 1.2
2(67)
5 2.3
3 (60)
1.1 1.2 0.2 - 6.0
Acute pyelonephritis
3 1.2
2(67)
5 2.3
3 (60)
1.1 1.2 0.2 - 6.0
Disorders of the prostate
66 39.9
42 (64)
100 69.4
73 (73)
1.2 1.2 0.8 - 1.6
Prostatic hyperplasia
28 20.6
24 (86)
55 38.2
52 (95)
1.0 1.0 0.6 -1.5
Prostatitis, acute
38 19.3
26 (68)
45 31.2
33 (73)
1.5 1.4 0.9 - 2.2
10b. Gynecologic and Reproductive Disorders
72 83.8
50 (69)
173 190.0
100 (58)
0.9 0.9 0.7 - 1.3
Disorders of the female breast (non-malignant)
4 5.8
4 (100)
11 15.9
10 (91)
0.9 1.0 0.2 - 3.4
Table 10 (continued)
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Page 105 of 114
Fibrocystic disease of breast Infections of the female genital tract Menopausal and menstrual disorders Other gynecologic disorders
Endometriosis Fertility and infertility management
Contraceptive or procreative management Infertility female Impotence of organic origin Other disorders of the male reproductive system
2 3.9 4 6.3 8 12.5 13 16.9 0 0.9 43 42.4 4 9.6 0 0.5 24 13.3 15 19.0
2 ( 100) 3 (75) 6 (75) 11 ( 85) 0 (-) 36 ( 84) 4 ( 100) 0 (-) 23 (96) 14 (93)
8 11.2 16 18.0 23 37.4 40 48.3
1 2.5 83 70.5 10 16.0
1 1.1 31 23.5 41 29.8
8 ( 100) 10 (63) 16 (70) 30 (75)
1 ( 100) 66 (80) 10 ( 100)
1 ( 100) 31 ( 100) 40 (98)
0.8 0.7 0.1-3.6
0.8 0.7 0.2 - 2.2
0.9 1.0 0.4 - 2.5 0.9 0.9 0.5- 1.8
--
0.9 0.9 0.6 -1.3 0.7 0.7 0.2-2.3
--
1.4 1.4 0.8 - 2.4 0.6 0.6 0.3- 1.1
11. Pregnancy
Complicated pregnancy or delivery Diabetes, gestational Multiple gestational Postpartumhemorrhage Pregnancy with abortion Pregnancy, ectopic Pretermlabor Other conditions during pregnancy
Normal or unspecified pregnancy and delivery Spontaneous abortion
0 3.5
0 2.6 0 0.0 0 0.0 0 0.3 0 0.2 0 0.0 0 0.2 0 1.8 0 0.9 0 0.1
0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-)
2 7.9 2 6.0 0 0.1 0 0.1 0 0.5 0 0.6 0 0.1 0 0.5 2 4.0 0 1.9 0 0.2
2 ( 100) 2 ( 100) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 0 (-) 2 ( 100) 0 (-) 0 (-)
------
-----
---
Table 10 (continued)
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Pregnancy
12. Dermatologic Disorders
Dermatologic infections Disorders of the hair and nails Immune mediated skin conditions Other dermatologic conditions
13. Musculoskeletal Disorders
Acute or unspecified arthropathies and minor tendonitis Crystalline arthritis Degenerativejoint disorders, other than spine Disorders of the spine Vasculitis and connective tissue disorders Other
14. Congenital Anomalies
Congenital Anomalies Atrial septal defect Other cardiovascular congenital abnormalities Other congenital abnormalities with admittance Other respiratory congenital abnormalities
0 0.8 296 335.7 105 106.3
6 10.7 43 55.9 142 162.8 489 510.6 47 64.2
8 7.1 27 28.9 161 129.4 4 3.3 242 277.7 9 9.9 9 9.9 0 0.1 0 1.3
9 8.3
0 0.2
0(-) 123 (42) 59 (56)
5(83) 28 (65) 89 (63) 135 (28) 37 (79)
7(88) 22(81) 83 (52) 4(100) 112(46) 9(100) 9(100) 0(-) 0(-)
9 (100)
0(-)
0 1.7 535 595.3 179 185.3
16 20.6 85 99.9 255 289.5 1047 918.4 136 113.8
10 12.1 73 57.0 293 226.0 7 6.5 528 503.0 12 17.9 12 17.9 0 0.3 3 2.4
8 14.8
1 0.4
0 (-) 208 (39) 103 (58)
13 (81) 46 (54) 152 (60) 245 (23) 76 (56)
10 (100) 60 (82) 140 (48) 7 (100) 197 (37) 11 (92) 11 (92) 0 (-) 3 (100)
8 (100)
1 (100)
--
-
1.0 1.0 0.9-1.1
1.0 1.0 0.8 -1.3
0.7 0.7 0.2 - 1.9
0.9 0.9 0.6-1.3
1.1 1.0 0.8 - 1.2
0.8 0.8 0.8 - 0.9
0.7 0.6 0.4 - 0.9
1.5 1.4 0.5 - 3.8
0.7 0.7 0.5 - 1.2
1.0 1.0 0.8- 1.2
1.3 1.1 0.2 - 4.4
0.8 0.8 0.7- 1.0
1.4 1.4 0.5 - 3.5
1.4 1.4 0.5 - 3.5
--
-
0.0 0.0 0.0 - 4.5
2.0 2.0 0.7 - 6.0
._
.
Table 10 (continued)
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3M Company EPI-0004
Page 107 of 114
15. Perinatal Disorders Conditions originating in the perinatal period
16. Miscellaneous Other miscellaneous conditions Routine health care Symptoms or signs Abdominal pain Chest pain, unspecified Fever Headache with radiology Malaise and fatigue Syncope and collapse Symptoms, signs and ill-defined conditions
17. Injury and Poisoning
Major traumatic injury Minor traumatic injury Other injury
0 0.7 0 0.6 644 589.3 147 239.9 84 100.8 497 349.4 93 50.0 93 55.2 8 6.2 48 35.0 22 22.1 7 7.2 226 173.3
191 283.1 39 81.1 108 158.9 44 43.2
0(-) 0(-) 189 (29) 98 (67) 77 (92) 181(36) 64 (69) 61 (66) 8 (100) 25 (52) 16 (73) 6(86) 160(71)
102 (53) 30 (77) 70 (65) 40 (91)
1 1.3 1 1.0 952 1070.6 221 439.7 120 184.2 731 630.9 110 92.0 142 99.4 11 10.6 59 66.2 40 41.6 8 13.1 361 306.8
358 481.0 80 137.6 218 268.4 60 75.0
1 (100) 1 (100) 294(31) 156 (71) 112(93) 275 (38) 75 (68) 85 (60) 11 (100) 37 (63) 37 (93) 7(88) 247 (68)
170 (45) 61 (17) 128 (59) 54 (90)
--
-
--
-
1.2 1.2 1.1 - 1.4
1.3 1.2 1.0- 1.5
1.3 1.3 1.0- 1.7
1.2 1.2 1.1- 1.4
1.6 1.6 1.2-2.1
1.2 1.2 0.9- 1.6
1.2 1.3 0.4-3.4
1.5 1.5 1.0-2.3
1.0 1.0 0.6 - 1.8
1.7 1.6
1.1 1.1 0.9 - 1.3
1.0 1.0 0.8-1.1 0.9 0.8 0.6-1.2 0.9 0.8 0.7-1.1 1.4 1.3 0.9 - 1.9
P
In
1Ui b
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Table 11
Specialty Categories, Categories and Classes Which Had an RREpC that Excluded the N ull H ypothesis in the 95% Confidence Interval for at Least One o f the Four Comparison Groups A - D
3M Company EPI-0004
Page 108 of 114
CCG Description
Comparison Group A
RRE,,C
95% Cl
Comparison Group B
RREnC
95% Cl
Comparison Group C
RRE,,C
95% Cl
Comparison Group D
RREnC
95% Cl
Specialty Categories
Cancers and Benign Growths
1.3 1.1 - 1.6
1.3 1 .1 - 1.6
1.3 1 .1 -1 .6
1.6 1 .2 -2 .1
Miscellaneous
1.0 1 .0 -1 .1
1.0 1 .0 -1 .1
1.1 1 .0 -1 .2
1.2 1 .1 - 1.4
Categories
Neoplasm o f gastrointestinal tract
1.5 1 .0 -2 .2
1.5 0.9 - 2.5
1.8 1 .2 -3 .0
2.9 1 .7 -5 .2
Neoplasm o f male reproductive tract
10.0
1.3-447
5.7 0.6 - 276
7.6 0.9 - 359
9.7 1 .1 -4 5 8
Affective disorders
1.3 1 .0 -1 .7
1.0 0 .7 - 1 .5
1.4 1.1 - 1 .9
1.3 0.8 - 1 .9
Disorders o f the biliary tract
1.6 0.8 - 2.9
2.1 0 .9 - 4 .9
1.7 0 .9 - 3 .3
2.6 1 .2 -5 5
Disorders o f the pancreas
3.0 0.7 - 18
3.3 0.8 - 20
4.7 0 .9 - 4 6
6.4 1 .2 -6 3
Lower and unspecified urinary tract infections
1.3 1 .0 -1 .6
1.5 1 .1 -2 .1
1.3 0 .9 - 1 .8
2.2 1,4 ~ 3.3
Menopausal and menstrual disorders
1.1 0 . 7 - 1.7
2.0 1 .1 -4 .0
1.1 0.7 - 2.0
1.0 0.4 - 2.5
Symptoms or signs
1.1 1 .0 - 1.2
1.0 0 .9 - 1 .2
1.1 1 .0 -1 .2
1.2 1 .1 -1 .4
Classes
Benign colon polyps
1.4 0 .9 - 2 .1
1.3 0.7 - 2.2
1.9 1 .1 -3 .2
2.4 1 .3 -4 .5
Cholelithiasis with acute cholecystitis
Cystitis
Urinary tract infections not specified
Abdominal pain
Table 11 (continued)
8.6 1 .1 -3 8 1
7.8 0.9 - 358
1.5 1 .0 -2 .2 1.1 0 .8 - 1 .6
2.0 1 .2 -3 .3 1.3 0 .8 - 1 .9
1.2 1 .0 -1 .5
1.2 0 . 9 - 1.6
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9.2 1 .2 -4 1 5 1.3 0 .8 - 2 .4 1.3 0 .9 - 1 .9 1.3 1 .0 -1 .6
> 4 .0
3M Company EPI-0004
page 109 Qf 114
2 .1 -1 2 8
2.4 1 .2 -4 .8 2.1 1 .2 -3 .5
1.6 1 .2 -2 .1
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Chemical Plant Film Plant
1993 15 (31) 12 (26)
Table 12
Number o f Episodes o f Care for Benign Colonie Polyps, B y Plant and by Year (Percent in Parenthses)
1994 9(19) 8(17)
1995 6(13) 6(13)
1996 1(2) 5(11)
1997 8(17) 7(15)
1998 9(19) 9(19)
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Page l l Oo f 114
Total 48 (100) 47 (100)
Appendix A
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3M Company EPI-0004
Page 111 of 114
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3M Company
Appendix A Table 1
EPI-0004 Page 112 of 114
Employment Status by Gender and Plant of the Four Study Comparison Groups per Beginning o f Each Study Year and End o f Study
January 1,1993 A ctiv e Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
Study Group A
C hem ical
Film
427 (65) 20 (3)
205 (31) 0(0) 0(0) 0(0) 0(0)
652(100)
502 (26) 26(4)
131 (20) 0(0) 0(0) 0(0) 0(0)
659 (100)
Study Group B
Chemical
Film
202 (52) 11(3)
175 (45) 0(0) 0(0) 0(0) 0(0)
388 (100)
296 (70) 12(3)
116(27) 0(0) 0(0) 0(0) 0(0)
424 (100)
Study Group C
Chemical
Film
308 (62) 18(4)
172 (35) 0(0) 0(0) 0(0) 0(0)
498(100)
370 (76) 22(4) 98(20) 0(0) 0(0) 0(0) 0(0)
490 (100)
Study Group D
Chemical
Film
210 (100) 1(8) 0(0) 0(0) 0(0) 0(0) 0(0)
211 (100)
345 (100) 0(0) 0(0) 0(0) 0(0) 0(0) 0(0)
345 (100)
January 1 ,1 9 9 4 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
420 (64) 21 (3)
190 (29)
8(1) 10 (2) 0(0)
3(0) 652 (100)
499 (76) 26(4)
116(18) 8(1) 6(1) 0(0) 4(1)
659 (100)
197 (51) 11(3)
167 (43) 5(1) 5(1) 0(0) 3(1)
388 (100)
299 (71) 13 (3)
107 (25) 2(1) 1(0) 0(0) 2(1)
424 (100)
305 (61) 19(4)
163 (33) 5(1) 4(1) 0(0) 2(0)
498 (100)
366 (75) 23 (5) 87 (18) 7(1) 5(1) 0(0) 2(0)
490 (100)
202 (96) 4(2) 0(0) 4(2) 1(0) 0(0) 0(0)
211(100)
336 (97)
2(1) 0(0) 5(1)
2(1) 0(0) 0(0) 345 (100)
January 1,1995 A ctiv e Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
422 (65) 26(4)
174 (27) 14 (2) 13(2) 0(0) 3(0)
652 (100)
469 (71) 32 (5) 111 (17) 33 (5) 5(1) 2(0) 6(1)
659 (100)
202 (52) 15(4)
155 (40) 8(2)
5(1) 0(0) 3(1) 388 (100)
295 (70) 14(3)
103 (24) 5(1) 1(0) 1(0) 5(1)
424(100)
306(61) 23 (5)
150 (30) 10 (2) 7(1) 0(0) 2(0)
498 (100)
343 (70) 29 (6) 86 (18) 24(5) 4(1) 2(0) 2(0)
490 (100)
194 (92) 8(4) 0(0) 8(4) 1(0) 0(0) 0(0)
211 (100)
311 (90) 9(3) 0(0)
21 (6) 2(1) 1(0) 1(0)
345 (100)
January 1 ,1 9 9 6 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
January 1, 1997 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
anuary 1, 1998 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
428 (66) 20(3)
159 (24) 25(4) 15(2)
1(0) 4(1) 652 (100)
467 (71) 33 (5) 98 (15) 44(7) 10(2) 2(0) 5(1)
659 (100)
207 (53) 11(3)
143 (37) 17(4) 6(2) 0(0) 4(1)
388 (100)
298 (70) 16(4) 91 (21) 9(2)
4(1) 1(0) 5(1) 424 (100)
435 (67) 26(4)
118(18) 45 (7) 18(3)
4(1) 6(1) 652 (100)
458 (69) 39 (6) 75(11) 63 (10) 12(2) 4(1) 8(1)
659 (100)
221 (57) 15(4)
108 (28) 29(7) 8(2) 1(0) 6(2)
388 (100)
304 (72) 18(4) 71 (17) 15(4)
5(1) 3(1) 8(2) 424 (100)
518 (79) 26(4) 15(2) 57 (9) 20 (3) 6(1) 10(2)
652 (100)
484 (73) 39 (6) 21 (3) 84 (13) 18(3) 5(1) 8(1)
659 (100)
300 (77) 18(5) 15(4) 35 (9) 10(3) 2(1) 8(2)
388 (100)
335 (79) 21 (5) 21 (5) 24(6) 12(3) 3(1) 8(2)
424 (100)
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314 (63) 17 (3)
136 (27) 19(4) 9(2) KO) 2(0)
498 (100)
339 (69) 27 (6) 77 (16) 35(7) 9(2) 2(0) 1(0)
490 (100)
190 (90) 4(2) 0(0) 15(7)
2(1) 0(0) 0(0) 211 (100)
298 (86) 9(3) 0(0)
32 (9) 4(1) 1(0) 1(0)
345 (100)
326 (65) 21(4)
101 (20) 33 (7) 12(2)
3(1) 2(0) 498 (100)
337 (69) 33 (7) 57 (12) 49 (10) 9(2) 4(1) 1(0)
490 (100)
173 (82) 6(3) 0(0)
27 (13) 3(1) 2(1) 0(0)
211 (100)
275(80) 17(5) 0(0) 45 (13) 5(1) 2(1) 1(0)
345 (100)
403 (81) 20(4) 12(2) 41 (8) 15 (3) 5(1) 2(0)
498 (100)
363 (74) 33 (7) 10(2) 64 (13) 15(3) 5(1) 0(0)
490 (100)
163 (77) 7(3) 0(0)
34 (16) 4(2)
3(1) 0(0) 211 (100)
260 (75) 17 (5) 0(0) 59 (17) 6(2)
3(1) 0(0) 345 (100)
December 31, 1998 Active Inactive Not yet hired Retired Terminated Deceased Transferred TOTAL
511 (78) 29(4) 0(0) 72(11) 23(4)
7(1) 10 (2) 652 (100)
470(71) 39 (6) 0(0) 112(17) 22 (3) 8(1) 8(1)
659(100)
301 (78) 19(5) 0(0) 45 (12) 13(3) 2(1) 8(2)
388 (100)
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338 (80) 24(6) 0(0) 35 (8) 15(4) 4(1) 8(2)
424 (100)
400 (80) 22(4) 0(0) 48 (10) 20(4) 6(1) 2(0)
498 (100
346 (71) 33 (7) 0(0) 84 (17) 19(4) 8(2) 0(0)
490 (100)
156 (74) 7(3) 0(0)
39(18) 5(2) 4(2) 0(0)
211 (100)
237 (69) 20 (6) 0(0) 77 (22) 7(2) 4(1) 0(0)
345 (100)