Examination of sex differences in fatty acid ethyl ester and ethyl glucuronide hair analysis

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Abstract

Clinical studies examining performance of fatty acid ethyl esters (FAEE) and ethyl glucuronide (EtG) in identifying excessive alcohol consumption have been primarily conducted in male populations. An impact of hair cosmetics in producing both false-negative EtG results and false-positive FAEE results has been demonstrated, suggesting a possible bias in female populations. This study evaluates FAEE-positive hair samples (>0.50ng/mg) from n=199 female and n=73 male subjects for EtG. Higher FAEE/EtG concordance was observed amongst male over female subjects. Performance of multiple proposed EtG cut-off levels were assessed; amongst female samples, FAEE/EtG concordance was 36.2% (30pg/mg), 36.7% (27pg/mg), and 43.7% (20pg/mg). Non-coloured hair demonstrated a two-fold increase in concordance (41.8 v. 20.8%) over coloured hair in the female cohort. FAEE levels did not differ between male and female subjects; however they were lower in coloured samples (p=0.046). EtG was lower in female subjects (p=0.019) and coloured samples (p=0.026). A total of n=111 female samples were discordant. Amongst discordant samples (EtG-negative), 26% had evidence of recent alcohol use including consultation histories (n=20) and detectable cocaethylene (n=9); 29% of discordant samples were coloured. False-negative risk with ethyl glucuronide analysis in females was mediated by cosmetic colouring. These findings suggest that combined analysis of FAEE and EtG is optimal when assessing a female population and an EtG cut-off of 20pg/mg is warranted when using combined analysis. While concordant FAEE/EtG-positive findings constitute clear evidence, discordant FAEE/EtG findings should still be considered suggestive evidence of chronic excessive alcohol consumption. © 2014 John Wiley & Sons, Ltd.

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Gareri, J., Rao, C., & Koren, G. (2014). Examination of sex differences in fatty acid ethyl ester and ethyl glucuronide hair analysis. Drug Testing and Analysis, 6(S1), 30–36. https://doi.org/10.1002/dta.1653

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