Document ZJMxjJogb1gRQaL1w2zgVdN18
ARLZE_--~ 1048 3MMCompany
FINAL REPORT
Epidemiology, 220-3W-05 Medical Department 3M Company
_stPau.MNssM4
Date: October 11, 2001 TPietrlfel:uoAroLoocntgaintouadtien(alPFAOnaAl)ysLiesveolfs SinerRuelmatPieornfltuoorLoiopcitdaannesduHlfeopnaattiec(CPliFnOiSca)laCnhdemistry FTelsutorRoecshuelmtiscfarloMmeMdaiclaelESmuprlvoeiyleleanPcaertPircoipgarnatms of the 1994/95, 1997 and 2000
Study StartDate: July 1, 2001
IPrRoBtoAcpoplrNouvamlber (not applicable) ExeXmpt Expedited
IRB Approval Date: program)
(not
applicable as these
data are
from a medical
surveillance
Principal Investigator:
Co-investigators:
Study Director:
Geary W. Olsen, D.V.M., Ph.D.!
Michele M. Burlew, M.S.
Jean M. Burris, RN. MP.H.' Jeffrey H. Mandel, M.D., M.P.H.'
Jeffrey H. Mandel, M.D., MPH."
1. 3M Medical Department, 220-3W-05, St. Paul, MN. 55144-1000
g
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000123
CONTAIN NO CBI
3PMagCeo2mp0a6n3y
ABSTRACT `The 3M fluorochemical medical surveillance program was conducted in 1994/95,
1997 and 2000 at the company's Antwerp (Belgium) and Decatur (Alabama) manufacturing plants. Although cross-sectional assessments of the data have been reported, the opportunity to conduct a longitudinal assessment became possible as a result oaf large number of employee participants in the 2000 fluorochemical medical surveillance program. A total of 175 male employees voluntarily participated in the 2000 `program and at least one of the two previous program years. A total of 106 (61 percent) of the 175 employees participated in the 1994/95 program and 110 (63 percent) of the 175 participated in the 1997 program. Of these 175 employees, a totalof41 (24 percent) participated in all three years (Antwerp = 21, Decatur = 20), 65 (37 percent) participated in 1994/95 and 2000 (Antwerp = 45, Decatur = 20) and 69 (39 percent) participated in 1997 and 2000 (Antwerp = 34, Decatu=r 35). There were insufficient number of female employees to conduct any meaningful longitudinal assessment. Only 14 female employees participated in the 2000 fluorochemical medical surveillance program and at least one of the previous program years.
Serum perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA) were assayed in each surveillance program year although the method of analysis (high performance liquid chromatography mass spectrometry) differed slightly between years. A different research laboratory was used to assay PFOS and PFOA in each year.
`The same hospital laboratory analyzed the clinical chemistries for all three surveillance years. These included: cholesterol (mg/d). high density lipoproteins (HDL.
000124
aFMuCgomepeansy
mg/dl) and triglycerides (mg/dl): alkaline phosphatase (IU/L), gamma glutamyl
transferase (GGT, IU/L), aspartate aminotransferase (AST, IU/L), alanine
aminotransferase (ALT, IU/L), total and direct bilirubin (mg/dl). Most reference ranges remainedrelatively constant over time except for ALT. In each surveillance year, potential confounding factors were also determined. These covariates included age, body `mass index, number of alcoholic drinks per day and cigarettes smoked per day.
`The continuous outcomes of lipid and hepatic clinical chemistry tests were
evaluated as repeated measures incorporating the random subject effect fitted to a mixed
`model by the MIXED procedure in the SAS statistical package. Restricted maximum likelihood estimates of variance parameters were computed. Adjusted regression models `were built by introducing all covariates and testing the covariance structure.
There was a positive association between PFOA and serum cholesterol and triglycerides over time but not with PFOS. This was association was limited to the
Antwerp employees and, in particular, the 21 Antwerp employees who participated in all three surveillance years. This positive association between PFOA and serum lipids is opposite the inconsistent toxicological evidence that suggesteda possible hypolipidemic effect of PFOA in rodents and no effect in primates. Adjusting for potential confounders,
there were no temporal changes associated with the fluorochemical tests, PFOS, PFOA and TOF, and the hepatic clinical chemistry tests.
Limitations of this study included the number of employees with three years of surveillance data (only 24% of the 175 subjects), the inability to analyze temporal changes due to small numbers in female employees, the use of different laboratories and
the associated systematic (experimental error) with each fluorochemical assay for the
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3PMagCeo4m0p1a6n3y three surveillance program years and the lower levels of serum PFOS and PFOA `measured in each program year among these employees compared with those that cause: effects in laboratory animals.
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INTRODUCTION
3PMagCeoSmopfa6n3y
The 3M fluorochemical medical surveillance program is conducted on a routine
basis at the company's Antwerp (Belgium) and Decatur (Alabama) manufacturing plants. Employee participation is voluntary. Prior to 1994, only total organic fluorine was
measured and no specific fluorochemical analytes were measured. Serum
perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA) have been routinely
assayed since 1994/95 rather than total organic fluorine as the analytical capabilities have
`improved. Cross-sectional analyses of the 1994/95 and 1997 medical surveillance
program data and the 2000 data in relation to Antwerp and Decatur employees' serum
PFOS levels have been reported elsewhere (Olsen et al, 1999a, 1999, 2001). In the
1994/1995 medical surveillance program, atotal of 178 male employees participated
(Antwerp = 88; Decat=9u0r) and 149 male employees participated in the 1997 program
(Antwerp = 65; Decatu=r 84). For these two program years, there were 00 few female
participants to include in the data analysis (Olsen et al 1998). In the 2000 fluorochemical
`medical surveillance program, there were considerably more participants: 421 males.
(Antwerp = 206; Decatur = 215) and 97 females (Antwerp = 49; Decatur = 48). It was
suspected that the increased voluntary participation in 2000 was due to increased
`employee awareness of the persistence and prevalence of PFOS in human tissue and the
environment and the company's May 16, 2000 phase out announcement that it would
cease the production of perfluorooctanyl chemistry in certain repellents and surfactants
by the end of 2000.
Regardless of the surveillance year, there have been several consistent differences
between the Antwerp and Decatur male employee populations. The Antwerp male
000127
3PMagCeo6m.p0a1n6y3 employee population has been significantly younger than Decatur, has had lower Body Mass Indices (BMI) andhigher self-reported daily consumption of alcohol. In addition, the Antwerp male employee population clinical chemistry profiles were different for several tests including lower mean alkaline phosphatase and triglyceride values and higher total bilirubin and HDL values than the Decatur male employee population. Analyses of workers'lipid and hepatic clinical chemistry results have not been associated with hypolipidemic effects and PFOS as reported in rodents (3M Company 2000; Haughom and Spydevold 1992; Tkeda et al 1987; Pastoor et al 1987; Seacat et al 2001a; Sohlenius et al 1993) and primates (Seacat et al 2001b). In the 2000 medical surveillance program, statistical analyses also examined the relation between PFOA and a calculated total organic fluorine index (TOP) to clinical chemistries, hematology, thyroid hormones and urinalyses (Olsen et al 2001). A positive association was observed between triglycerides and PFOA; however, this association was opposite the data that have inconsistently reported a hypolipidemia effect of PFOA in rodents (Haughom and Spydevold 1992; Pastor et al 1987) and no effect in primates (Butenhoff ct al 2001) Furthermore, this positive association between PFOA and triglycerides has not been observed at the 3M Cottage Grove manufacturing plant (Olsen et al 2000) where employees' serum levels have, historically, been much higher than those measured among Antwerp and Decatur employees (Olsen et al 1999; 2001a; Olsen et al 2001b).
`The inability to assess temporal changes in cross-sectional studies is a wellknown limitation of this design. The large participation of employees in the 2000 fluorochemical medical surveillance who may have participated in the 1994/95 and/or 1997 surveillance programs at these two manufacturing sites allowed for an opportunity
000128
3PMagCeo7m0pfa6n3y to conducta longitudinal analysis among the male employee population. Altogether, a total of 175 employees (Antwer=p 100; Decatu=r 75) who participated in 2000 had also participated in at least one previous fluorochemical medical surveillance exam since 1994/95. Therefore, the purpose of this analysis was to conduct a longitudinal assessment of this 6 year time period regarding the relationship of PFOS, PFOA and TOF to the medical surveillance data collected on these 175 Antwerp and Decatur male employees.
METHODS Data Collection
Data were compiled from the 1994/95, 1997 and 2000 fluorochemical medical surveillance program databases. A total of 175 male employees participated in the 2000 program and at least one of the two previous program years.A total of 106 (61 percent) of the 175 employees participated in the 1994/95 program and 110 (63 percent) of the 175 participated in the 1997 program. Of these 175 employees, a totalof 41 (24 percent) participated in all three years (Antwerp = 21, Decatur = 20), 65 (37 percent) participated in 1994/95 and 2000 (Antwerp = 45, Decatur = 20) and 69 (39 percent) participated in 1997 and 2000 (Antwerp = 34, Decatur = 35). For purposes of brevity, these three subpopulations will hereafter be referred to as subcohorts A, B and C.
Demographic data (age, BML alcoholic drinks per day and cigarettes per day) were recorded for each employee in each surveillance year. A standard set of clinical chemistries and hematology data was also obtained for each employee. Given results from previous toxicological studies, the longitudinal analyses focused on lipid
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3PMagCeoSmopfan6y3 [cholesterol (mg/d), high density lipoproteins (HDL, mg/dl) and triglycerides (mg/di)] and hepatic [alkaline phosphatase (IU/L), gamma glutamyl transferase (GGT, IU/L), aspartate aminotransferase (AST, IU/L), alanine aminotransferase (ALT, IU/L), total and direct bilirubin (mg/dD)] clinical chemistries that were measured in each program year by the same laboratory (Allina Laboratories, St. Paul,MN). Reference ranges were relatively constant over time, although for ALT the range declined from 20-65 TU/L in 1994195 10 1-40 U/L in 1997 and 2000.
Fluorochemical Analyses PFOS and PFOA were assayed in 1994/95, 1997 and 2000. However, the method
of analysis differed slightly for each year. In 1994/95, the method used tetrabutylammonium to ion-pair with POS and PFOA in the serum (Johnson ct al 1996). `The ion-pairs were then extracted with ethyl acetate. The abstraction product was then analyzed using high-performance liquid chromatograph.thermospray mass spectrometry. In 1997, the serum samples were analyzed by liquid chromatography/mass spectrometry, using selected ion monitoring in the negative-ion mode (Anderson and Mulvanna 1997; 1997b). In 2000, sera samples were extracted using an ion-pairing extraction procedure (Hansen et al, 2001). Only in2000were the extracts quantitatively analyzed for PFOS and PFOA as well as the other analytes: PFHS (perfluorohexanesulfonate), PFOSAA (Nethyl perfluorooctanesulfonamidoacetate), M570 (N-methyl perfluorooctanesulfonamidoacetate), PFOSA (perfluorooctanesulfonateamide) and M56 (perfluorooctanesulfonamidoacetate). High-performance liquid chromatographyelectrospray tandem mass spectrometry (HPLC/ESMSMS) was the
000130
3PMagCeo9mopfa6n3y technique used in 2000. The samples were evaluated versus an extracted curve from a human serum matrix. Analyses were conducted at different laboratories in the three surveillance years. For purposes of this longitudinal analysis, a total organic fluorine index (TOF) was determined by calculating the percent of PFOS and PFOA that was auributed to organic fluorine (64.7 and 69.0 percent, respectively) multiplied by the ppm `measured for cach of these two fluorochemicals and then summed to produce the TOF.
Statistical Analysis Briefly, mixed models can be used in the analysis of repeated measures data
which are simply data sets with multiple measurementsof a response variable on the. same subject over time. Detailed explanation of these models is provided elsewhere (Littell 1996: 2000). Mixed models contain factor effects which are considered both fixed and random. An effect is fixedif the levels in the study represent all possible levels of the factor,orat least all levels about which inference is to be made. Factor effects are randomifthe levels of the factor that are used in the study represent only a random sampleofa larger set of potential levels.
`The focus of the standard linear model is to model the mean ofy by using the fixed-effects parameters . That is,
y=Xp+e where y represents a vector of observed data, is an unknown vector of fixed effects parameters with known design matrix X, and is an unknown random error vector modeling the statistical noise' around XB. The residual errors are assumed to be
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3PaMgeCo1m0p0a16n3y independent and identically distributed Gaussian random variables with mean 0 and
variance 0,
A generalized standard linear model is a mixed model which is: y=XB+Zy+e
wherey is an unknown vector of random-effects parameters with known design matrix Z, and is an unknown random error vector whose elements are no longer required to be: independent and homogeneous. If + are assumed to be Gaussian random variables that are uncorrelated and have expectations 0 and variances G and R, respectively, then the variance ofy is:
V=ZGZ +R
`The variance of the data, , can be modeled by specifying the structure of Z, G and R. `The model matrix Z is designed in the same fashion as X, the model matrix for the fixedeffects parameters.
For the matrices G and R, a covariance structure must be selected in using mixed models. Since observations on different subjects are assumed to be independent, the structure refers to the covariance pattem of repeated measurements on the same subject. For most of these structures, the covariance between two observations on the same subject depends only on the length of the time interval between measurements and the variance is constant over time. Numerous covariance structures exist. Common examples include the following. Simple covariance structure (SIM) specifies that the observations are independent, even on the same subject, and have homogeneous variance. tis usually not realistic for most repeated measures data because it specifies that observations on the same subject are independent. Compound symmetric (CS, otherwise
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---
I
3PaMgeCo1m1p01a6n3y known as variance components) structure specifies that observations on the same subject have homogeneous covariance and homogeneous variance. Correlations between two observations are equal for all pairsof observations on the same subject. Autoregressive order | (AR(1))covariance structure specifies homogeneous variance but that covariances between observations on the same subject are not equal, but decrease toward zero with increasing time interval between measurements (lag). Its limitation is that observations `on the same subject far apart in time would be essentially independent. Autoregressive `with random effect for subject (AR +RE) covariance structure specifies homogeneous variance plus the covariance between observations on the same subject arises from two sources: 1) any two observations share a common contribution because they are on the same subject; and 2) the covariance between observations decreases exponentially with lag but onlyto the common contribution (not to independence). Toeplitz (TOEP) structure specifies that covariance depends only on lag but not as a mathematical function with a small number of parameters. The `unstructured structure (UN) specifies no patterns in the covariance matrix and is therefore completely general. The above structures are appropriateif equal spacing (of data) is assumed in a time series analyses. In situations where unequally spaced longitudinal measurements exist, spatial covariance structures can be used. In the present analyses, equal spacing was assumed given there were approximately 3 years between each medical surveillance program examinations.
Akaike's information criterion (AIC) and Schwarz's Bayesian criterion (SBC) are indices of relative goodness-of-fit that were used to compare models with the same fixed effects, but different covariance structures. SBC penalizes models more severely for the
000133
-
P3aMgeCo1m2p0a16n3y `number of estimated parameters than AIC and thus the two criteria did not always agree on the choice of `best' model. SBC was preferred.
In the present study, the continuous outcomes of lipid and hepatic clinical chemistry tests were evaluated as repeated measures incorporating the random subject effect fitted to a mixed model by the MIXED procedure in the SAS statistical package (Litell etal 1996). Restricted maximum likelihood estimates (REML) of variance parameters were computed. Adjusted regression models were built by introducing all covariates (sec below) and testing the covariance structure. Based on goodness-of-fit tests. described above, AR+RE, was routinely considered the best covariance structure chosen for the mixed models. Covariates included PFOS (or PFOA or TOF), years of observation, the interaction term of PFOS and years of observation, age, body mass index (BMI), cigarettes smoked per day, alcohol drinks per day, year at first entry and baseline (at first observation) years worked. For hepatic clinical chemistry tests, serum triglycerides was also considered a covariate (Olsen et al 2001a),
RESULTS Provided in Table I are cross-sectional analyses of the study subjects who.
participated in each of the three years (1994/95, 1997 and 2000) stratified by location. As reported previously in the complete cross-sectional analyses of these programs (Olsen etal 1998; 1999; 2001), Antwerp employees in this longitudinal investigation were younger, had lower BMIs and drank more alcoholic beverages than Decatur employees. `They also had consistently lower triglyceride and alkaline phosphatase levels and higher HDL and total bilirubin levels. Decatur employees, on average, had serum PFOS levels
000134
P3aMgeCo1m3p0a1n6y3 that were higher by approximately 0.5 ppm in each cross-sectional analysis. Similar findings were observed for PFOA except with the 1997 data where the two populations had comparable mean PFOA levels.
Provided in the following two tables are the cross-sectional analyses for the three subcohorts by location. Among Antwerp employees (Table 2), each of the three subcohorts had lower mean serum PFOS levels in 2000 than at their year of entry whereas there were no consistent changes across subcohorts with PFOA. Among the three Decatur subcohorts (Table 3) mean PFOS values declined over time but mean PFOA levels tended to increase.
Provided in tables 4 through30are the mixed model coefficient estimates, standard errors, p-values and 95% confidence intervals from testing potential determinants of lipid and hepatic clinical chemistry change. The natural log was used for all dependent variables.
`Tables 4 through 6 contain the analysesfor cholesterol. There was no change in cholesterol associated with PFOS (Table 4). Overall, PFOA was positively associated with cholesterol as the main effect coefficient was significantly positive but its interaction with time (years variable) was negative (Table 5). Provided in Tables SA through SD are separate analyses for Antwerp for all subjects (Table SA) and by each subcohort. The PFOA and cholesterol association appeared to primarily reside with the 21 Antwerp `employees in subcohort A (Table SB). This finding can also be observed in Table 2 as the subcohort's mean PFOA levels went from 1.32 ppm, to 2.37 ppm and then declined to 2.06 ppm at the same timetheir cholesterol values rose from 208 mg/dL to 226 mg/dL to 229 mg/dL. There were no associations between cholesterol and PFOA observed among
000135
3PaMgeCo14m.p0a1n6y3 the Decatur employee population (Table SE) nor were there significant associations between TOF and either location (Tables 6, 6A and 6B).
There were no significant associations between PFOS, PFOA or TOF with HDL (Tables 7 through 9). BMI, alcoholic drinks per day and cigarettes smoked per day were the most significant associations with HDL.
Triglycerides were not significantly associated with PFOS over time (Table 10). Overall, riglycerides were positively associated with PFOA (Table 11) as seen with the significant positive coefficient for the main effect of PFOA and the negative coefficient for its interaction with time (years). Again, this effect was observed among the Antwerp employee population (Table 11A) and in particular, subcohort A (Table 11B), but not subeohorts B (Table 11C) oCr (Table 11D) or Decatur employees in general (Table LIE). Among the Antwerp subcohort A, their mean triglyceride levels rose from 85 mg/dL to 115 mg/dL to 123 mg/dL at the same time their PFOA levels increased from 132 ppm t0 2.37 ppm and then declined to 2.06 ppm. Although the main effect for TOF was significantly positive, the interaction term with time (years) was not significant (Table 12). Again, this association was more consistent for Antwerp employees (Table 12A) than Decatur employees (Table 12B).
Among the hepatic clinical chemistry tests that were adjusted for the various changing demographic factors and triglyceride levels, there were no significant associations between PFOS, PFOA and TOF with changes in alkaline phosphatase: (Tables 13 - 15), GGT (Tables 16-18), AST (Tables 19-21), ALT (Tables 22-24), total bilirubin (Tables 25 -- 27) or direct bilirubin (Tables 28-30). Observations apparent in `Tables 2 and 3 can also be seen in these mixed model analyses. For example, the two
000136
P3aMgeCo1m5p0a7n6y3 `most significant predictors of alkaline phosphatase were time (years) and location (as seen with the lower values among Antwerp employees). For ALT, entry period was also significant as it reflected the higher reference range values for ALT that were used in 1994/95 than in subsequent years.
DISCUSSION `These analyses were the first longitudinal assessment of the fluorochemical
`medical surveillance program at 3M's Antwerp and Decatur manufacturing sites Overall, we observed no associations that were consistent with the toxicological evidence that PFOS produces a hypolipidemic effect at threshold dosages in rats and primates (3M Company 2000; Haughom and Spydevold 1992; Ikeda et al 1987; Pastoor et al 1987: Seacat et al 2001; 2001b; Sohlenius etal 1993). Our results did suggest a positive: association between temporal changes in cholesterol and triglycerides and PFOA; however this is also inconsistent with the toxicological evidence that PFOA may result in a hypolipidemic effect in rats (Haughom and Spydevold 1992; Pastoor et al 1987) but produced no effect on blood lipids in primates (Butenhoff et al 2001).
Even though we were able 10 perform a longitudinal assessment, there were several limitations to our analyses. We were limited to 175 employees of which only 41 (24 percent) participated in all three surveillance years. Although a greater absolute number of Decatur employees (but not percent-wise) have participated during each year, for this longitudinal assessment there were more Antwerp (57 percent) than Decatur (43 percent) employees. Antwerp employees have had lower serum PFOS level by approximately 0.5 ppm (Olsen et al 1998; Olsen et al 19992: 1999b; 2001: 2001b;
000137
P3aMgeCo16m0pfa6n3y 2001c). There were insufficient numbers of female employees for any meaningful longitudinal analysis. Given the variability inherent in the analytical method (Hansen et al 2001) and the different laboratories used, serum PFOS and PFOA levels may have systematic error incorporated in each measurement that we were unable to assess as blood samples were analyzed only at the time of the surveillance program. This systematic error may have masked associations with lipid or hepatic clinical chemistries, although the range of PFOS and PFOA measured was relatively consistent throughout the study time period. Because 3M has announced a phase-out of the production of perfluorooctanyl chemistry-related materials, we doubt that there will be many more subjects in the future that can be included in this longitudinal assessment. Also, the findings from this assessment would suggest that serum PFOS levels have cither remained constant or declined slightly over time among these 175 employees. On the other hand, serum PFOA levels appeared to trend upwards, on average, by approximately 0.510 1.0 ppm for these employees. Another limitation is the fact that the serum PFOS and PFOA levels measured in these employees were lower than those that cause effects in laboratory animals.
In summary,a longitudinal analysis over a six year time period of 175 Antwerp and Decatur male employees did not show significant changes, consistent with. toxicological data, of lipid or hepatic clinical chemistry values associated with either PFOS or PFOA. The PFOS and PFOA serum levels measured in these employees were lower than those that cause effects in laboratory animals.
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P3aMgeCo1m7p0fa6n3y
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