Literature DB >> 26503066

Phosphatidylethanol is superior to carbohydrate-deficient transferrin and γ-glutamyltransferase as an alcohol marker and is a reliable estimate of alcohol consumption level.

Lisa Walther1, Andrea de Bejczy2,3, Elin Löf2,3, Therese Hansson1, Anders Andersson1, Joar Guterstam4, Anders Hammarberg4, Gulber Asanovska5, Johan Franck4, Bo Söderpalm2,3, Anders Isaksson1.   

Abstract

BACKGROUND: In clinical practice as well as research situations, it is of great importance to get reliable information about a patient's alcohol consumption. The aim of the study was to investigate the correlation of alcohol biomarkers (phosphatidylethanol [PEth], carbohydrate-deficient transferrin [CDT], γ-glutamyltransferase, aspartate aminotransferase, and alanine aminotransferase) to retrospective as well as diary-based alcohol self-reports and to examine whether it is possible to correlate a biomarker result to a more precise level of alcohol consumption.
METHODS: One hundred and sixty alcohol-dependent patients were included in a randomized, placebo-controlled clinical trial of pharmacotherapy for alcohol dependence, of which 115 (76 men and 39 women) completed the study. Retrospective alcohol consumption data were collected at baseline, and alcohol diaries were used during the study. Blood samples for determination of alcohol biomarkers were collected on 5 occasions during the study.
RESULTS: PEth and CDT showed a better correlation with alcohol consumption documented in the diary (PEth rs = 0.56 and CDT rs = 0.35) than with retrospective consumption data (PEth rs = 0.23 and CDT rs = 0.22). An even higher correlation (rs = 0.63) was seen between the 2 alcohol biomarkers PEth and CDT. At all consumption levels, PEth had the highest sensitivity of all biomarkers studied.
CONCLUSIONS: PEth was the biomarker with the best correlation to self-reported alcohol consumption. PEth was superior to CDT owing to its substantially higher sensitivity but also due to its closer correlation to self-report. PEth values can be translated into an approximate level of alcohol consumption and PEth appears to be a more reliable measure of alcohol consumption than self-reports.
Copyright © 2015 by the Research Society on Alcoholism.

Entities:  

Keywords:  Alcohol Biomarker; Carbohydrate-Deficient Transferrin; Phosphatidylethanol; Reported Alcohol Consumption

Mesh:

Substances:

Year:  2015        PMID: 26503066     DOI: 10.1111/acer.12883

Source DB:  PubMed          Journal:  Alcohol Clin Exp Res        ISSN: 0145-6008            Impact factor:   3.455


  28 in total

1.  Phosphatidylethanol in Comparison to Self-Reported Alcohol Consumption Among HIV-Infected Women in a Randomized Controlled Trial of Naltrexone for Reducing Hazardous Drinking.

Authors:  Yan Wang; Xinguang Chen; Judith A Hahn; Babette Brumback; Zhi Zhou; Maria J Miguez; Robert L Cook
Journal:  Alcohol Clin Exp Res       Date:  2017-12-05       Impact factor: 3.455

2.  Recent alcohol use prolongs hospital length of stay following lung transplant.

Authors:  Erin M Lowery; Meagan Yong; Arala Cohen; Cara Joyce; Elizabeth J Kovacs
Journal:  Clin Transplant       Date:  2018-06-20       Impact factor: 2.863

3.  Unreported alcohol use was common but did not impact hepatitis C cure in HIV-infected persons who use drugs.

Authors:  Risha Irvin; Geetanjali Chander; Kathleen M Ward; Sean Manogue; Oluwaseun Falade-Nwulia; Juhi Moon; Catherine G Sutcliffe; Sherilyn Brinkley; Taryn Haselhuhn; Stephanie Katz; Kayla Herne; Lilian Arteaga; David L Thomas; Shruti H Mehta; Mark S Sulkowski
Journal:  J Viral Hepat       Date:  2020-01-07       Impact factor: 3.728

4.  Microproteinuria Predicts Organ Failure in Patients Presenting with Acute Pancreatitis.

Authors:  Sara Bertilsson; Per Swärd; Anders Håkansson; Rafid Tofik; Bengt Rippe; Evangelos Kalaitzakis
Journal:  Dig Dis Sci       Date:  2016-10-12       Impact factor: 3.199

5.  The Starting Treatment for Ethanol in Primary care Trials (STEP Trials): Protocol for Three Parallel Multi-Site Stepped Care Effectiveness Studies for Unhealthy Alcohol Use in HIV-Positive Patients.

Authors:  E Jennifer Edelman; Stephen A Maisto; Nathan B Hansen; Christopher J Cutter; James Dziura; Lynn E Fiellin; Patrick G O'Connor; Roger Bedimo; Cynthia Gibert; Vincent C Marconi; David Rimland; Maria C Rodriguez-Barradas; Michael S Simberkoff; Amy C Justice; Kendall J Bryant; David A Fiellin
Journal:  Contemp Clin Trials       Date:  2016-11-20       Impact factor: 2.226

6.  Use of alcohol biomarkers to identify alcohol misuse in organ donors.

Authors:  Erin M Lowery; Martin Walsh; Meagan Yong; Elizabeth J Kovacs; Cara Joyce; Majid Afshar
Journal:  Alcohol       Date:  2018-03-31       Impact factor: 2.405

7.  Interaction Between Alcohol Consumption Patterns, Antiretroviral Therapy Type, and Liver Fibrosis in Persons Living with HIV.

Authors:  Usama Bilal; Bryan Lau; Mariana Lazo; Mary E McCaul; Heidi E Hutton; Mark S Sulkowski; Richard D Moore; Geetanjali Chander
Journal:  AIDS Patient Care STDS       Date:  2016-05       Impact factor: 5.078

8.  Alveolar macrophage inflammatory mediator expression is elevated in the setting of alcohol use disorders.

Authors:  Eileen Bock O'Halloran; Brenda J Curtis; Majid Afshar; Michael M Chen; Elizabeth J Kovacs; Ellen L Burnham
Journal:  Alcohol       Date:  2015-11-24       Impact factor: 2.405

9.  Motivational interviewing with personalized feedback to reduce alcohol use in HIV-infected men who have sex with men: A randomized controlled trial.

Authors:  Christopher W Kahler; David W Pantalone; Nadine R Mastroleo; Tao Liu; Gerald Bove; Bharat Ramratnam; Peter M Monti; Kenneth H Mayer
Journal:  J Consult Clin Psychol       Date:  2018-08

Review 10.  A review of the Alcohol Use Disorders Identification Test (AUDIT), AUDIT-C, and USAUDIT for screening in the United States: Past issues and future directions.

Authors:  John C Higgins-Biddle; Thomas F Babor
Journal:  Am J Drug Alcohol Abuse       Date:  2018-05-03       Impact factor: 3.829

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