Literature DB >> 22311827

Levels and types of alcohol biomarkers in DUI and clinic samples for estimating workplace alcohol problems.

Paul R Marques1.   

Abstract

Widespread concern about illicit drugs as an aspect of workplace performance potentially diminishes attention on employee alcohol use. Alcohol is the dominant drug contributing to poor job performance; it also accounts for a third of the worldwide public health burden. Evidence from public roadways--a workplace for many--provides an example of work-related risk exposure and performance lapses. In most developed countries, alcohol is involved in 20-35% of fatal crashes; drugs other than alcohol are less prominently involved in fatalities. Alcohol biomarkers can improve detection by extending the timeframe for estimating problematic exposure levels and thereby provide better information for managers. But what levels and which markers are right for the workplace? In this paper, an established high-sensitivity proxy for alcohol-driving risk proclivity is used: an average eight months of failed blood alcohol concentration (BAC) breath tests from alcohol ignition interlock devices. Higher BAC test fail rates are known to presage higher rates of future impaired-driving convictions (driving under the influence; DUI). Drivers in alcohol interlock programmes log 5-7 daily BAC tests; in 12 months, this yields thousands of samples. Also, higher programme entry levels of alcohol biomarkers predict a higher likelihood of failed interlock BAC tests during subsequent months. This paper summarizes the potential of selected biomarkers for workplace screening. Markers include phosphatidylethanol (PEth), percent carbohydrate deficient transferrin (%CDT), gammaglutamyltransferase (GGT), gamma %CDT (γ%CDT), and ethylglucuronide (EtG) in hair. Clinical cut-off levels and median/mean levels of these markers in abstinent people, the general population, DUI drivers, and rehabilitation clinics are summarized for context.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22311827      PMCID: PMC3676970          DOI: 10.1002/dta.384

Source DB:  PubMed          Journal:  Drug Test Anal        ISSN: 1942-7603            Impact factor:   3.345


  28 in total

1.  Improved diagnostic classification of alcohol abusers by combining carbohydrate-deficient transferrin and gamma-glutamyltransferase.

Authors:  P Sillanaukee; U Olsson
Journal:  Clin Chem       Date:  2001-04       Impact factor: 8.327

2.  PHosphatidylethanol (PEth) concentrations in blood are correlated to reported alcohol intake in alcohol-dependent patients.

Authors:  Steina Aradottir; Gulber Asanovska; Stefan Gjerss; Per Hansson; Christer Alling
Journal:  Alcohol Alcohol       Date:  2006-04-19       Impact factor: 2.826

3.  Unravelling the preventive paradox for acute alcohol problems.

Authors:  T Stockwell; D Hawks; E Lang; P Rydon
Journal:  Drug Alcohol Rev       Date:  1996-03

4.  Toward standardization of carbohydrate-deficient transferrin (CDT) measurements: I. Analyte definition and proposal of a candidate reference method.

Authors:  Jan-Olof Jeppsson; Torsten Arndt; François Schellenberg; Jos P M Wielders; Raymond F Anton; John B Whitfield; Anders Helander
Journal:  Clin Chem Lab Med       Date:  2007       Impact factor: 3.694

5.  Comparison of ethyl glucuronide (EtG) and fatty acid ethyl esters (FAEEs) concentrations in hair for testing abstinence.

Authors:  M E Albermann; F Musshoff; B Madea
Journal:  Anal Bioanal Chem       Date:  2010-12-03       Impact factor: 4.142

6.  Behavioral monitoring of DUI offenders with the Alcohol Ignition Interlock Recorder.

Authors:  P R Marques; R B Voas; A S Tippetts; D J Beirness
Journal:  Addiction       Date:  1999-12       Impact factor: 6.526

7.  Ethyl glucuronide in hair compared with traditional alcohol biomarkers--a pilot study of heavy drinkers referred to an alcohol detoxification unit.

Authors:  Gudrun Høiseth; Luca Morini; Aldo Polettini; Asbjørg Christophersen; Jørg Mørland
Journal:  Alcohol Clin Exp Res       Date:  2009-03-06       Impact factor: 3.455

8.  Estimating driver risk using alcohol biomarkers, interlock blood alcohol concentration tests and psychometric assessments: initial descriptives.

Authors:  Paul Marques; Scott Tippetts; John Allen; Martin Javors; Christer Alling; Michel Yegles; Fritz Pragst; Friedrich Wurst
Journal:  Addiction       Date:  2009-11-16       Impact factor: 6.526

9.  A new modified gamma-%CDT method improves the detection of problem drinking: studies in alcoholics with or without liver disease.

Authors:  Petra Anttila; Kimmo Järvi; Jaana Latvala; Joan E Blake; Onni Niemelä
Journal:  Clin Chim Acta       Date:  2003-12       Impact factor: 3.786

Review 10.  Behavioral measures of drinking: patterns from the Alcohol Interlock Record.

Authors:  Paul R Marques; Robert B Voas; A Scott Tippetts
Journal:  Addiction       Date:  2003-12       Impact factor: 6.526

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  8 in total

1.  Use of continuous transdermal alcohol monitoring during a contingency management procedure to reduce excessive alcohol use.

Authors:  Donald M Dougherty; Nathalie Hill-Kapturczak; Yuanyuan Liang; Tara E Karns; Sharon E Cates; Sarah L Lake; Jillian Mullen; John D Roache
Journal:  Drug Alcohol Depend       Date:  2014-07-11       Impact factor: 4.492

2.  A utilitarian comparison of two alcohol use biomarkers with self-reported drinking history collected in antenatal clinics.

Authors:  Philip A May; Julie M Hasken; Marlene M De Vries; Anna-Susan Marais; Julie M Stegall; Daniel Marsden; Charles D H Parry; Soraya Seedat; Barbara Tabachnick
Journal:  Reprod Toxicol       Date:  2018-02-06       Impact factor: 3.143

3.  Accounting for sex-related differences in the estimation of breath alcohol concentrations using transdermal alcohol monitoring.

Authors:  Nathalie Hill-Kapturczak; John D Roache; Yuanyuan Liang; Tara E Karns; Sharon E Cates; Donald M Dougherty
Journal:  Psychopharmacology (Berl)       Date:  2014-06-13       Impact factor: 4.530

4.  Do variable rates of alcohol drinking alter the ability to use transdermal alcohol monitors to estimate peak breath alcohol and total number of drinks?

Authors:  Nathalie Hill-Kapturczak; Sarah L Lake; John D Roache; Sharon E Cates; Yuanyuan Liang; Donald M Dougherty
Journal:  Alcohol Clin Exp Res       Date:  2014-10-21       Impact factor: 3.455

5.  Carbohydrate deficient transferrin and alcoholism.

Authors:  Hilary Denis Solomons
Journal:  Germs       Date:  2012-06-01

6.  Mandating Treatment Based on Interlock Performance: Evidence for Effectiveness.

Authors:  Robert B Voas; A Scott Tippetts; Gwen Bergen; Milton Grosz; Paul Marques
Journal:  Alcohol Clin Exp Res       Date:  2016-07-18       Impact factor: 3.455

Review 7.  Biomolecules and Biomarkers Used in Diagnosis of Alcohol Drinking and in Monitoring Therapeutic Interventions.

Authors:  Radu M Nanau; Manuela G Neuman
Journal:  Biomolecules       Date:  2015-06-29

8.  Relation between age at first alcohol drink & adult life drinking patterns in alcohol-dependent patients.

Authors:  Soundarya Soundararajan; Gitanjali Narayanan; Arpana Agrawal; Dorairaj Prabhakaran; Pratima Murthy
Journal:  Indian J Med Res       Date:  2017-11       Impact factor: 2.375

  8 in total

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