Literature DB >> 7748270

Diagnostic tests for alcohol consumption.

K M Conigrave1, J B Saunders, J B Whitfield.   

Abstract

A variety of laboratory tests are available to assist in the diagnosis of hazardous alcohol consumption and related disorders. Standard tests, such as serum gamma glutamyltransferase activity and erythrocyte mean cell volume, have limited sensitivity, particularly in detecting non-dependent hazardous consumption. Most also have poor specificity in that results are affected by common diseases and medications. Over the past 10 years a number of new laboratory tests have emerged. One of these, carbohydrate deficient transferrin, has high sensitivity in detecting persons with alcohol dependence, and shows promise for identification of non-dependent hazardous drinking; it is also highly specific. Others such as measurement of bound acetaldehyde, serum beta-hexosaminidase and the ratio of urinary serotonin metabolites offer promise in detecting recent heavy drinking. However, many issues remain unresolved. The newer markers have often been judged by contrasting their values in patients who are clearly alcohol dependent and abstainers or very light drinkers. It is now apparent that some are relatively insensitive markers of hazardous consumption. Future research needs to examine the performance of these markers among subjects with a range of alcohol intakes to fully determine their value in assessing drinking history. In addition, assays which are capable of some degree of automation need to be developed for analysing large numbers of samples.

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Year:  1995        PMID: 7748270

Source DB:  PubMed          Journal:  Alcohol Alcohol        ISSN: 0735-0414            Impact factor:   2.826


  13 in total

Review 1.  Detection of alcoholic liver disease.

Authors:  H Gordon
Journal:  World J Gastroenterol       Date:  2001-06       Impact factor: 5.742

2.  Risk factors for fragility fracture in middle age. A prospective population-based study of 33,000 men and women.

Authors:  A H Holmberg; O Johnell; P M Nilsson; J Nilsson; G Berglund; K Akesson
Journal:  Osteoporos Int       Date:  2006-05-04       Impact factor: 4.507

3.  [Long-term follow-up on alcohol use in a big company after brief intervention by a company physician].

Authors:  B Croissant; K Hupfer; S Loeber; K Mann; A Zober
Journal:  Nervenarzt       Date:  2008-01       Impact factor: 1.214

4.  Dietary saturated fatty acids reduce hepatic lipid accumulation but induce fibrotic change in alcohol-fed rats.

Authors:  Ya-Ling Chen; Hsiang-Chi Peng; Xiang-Dong Wang; Suh-Ching Yang
Journal:  Hepatobiliary Surg Nutr       Date:  2015-06       Impact factor: 7.293

5.  The biometric measurement of alcohol consumption.

Authors:  Lawrence D Snell; Vijay A Ramchandani; Laura Saba; David Herion; Markus Heilig; David T George; Lutz Pridzun; Anders Helander; Melanie L Schwandt; Monte J Phillips; Paula L Hoffman; Boris Tabakoff
Journal:  Alcohol Clin Exp Res       Date:  2011-09-06       Impact factor: 3.455

6.  Combined effects of alcohol and hepatitis C: a secondary analysis of alcohol use biomarkers and high-risk behaviors from two medication trials for alcohol dependence.

Authors:  Jennifer G Plebani; Carlos F Tirado; Helen M Pettinati; Kyle M Kampman; Joseph R Volpicelli; David W Oslin
Journal:  Addict Behav       Date:  2009-09-10       Impact factor: 3.913

7.  Biochemical markers for alcohol consumption.

Authors:  Subir Kumar Das; Prasunpriya Nayak; D M Vasudevan
Journal:  Indian J Clin Biochem       Date:  2003-07

8.  [Treatment outcome after inpatient alcohol withdrawal: impact of motivational interventions: a comparative study].

Authors:  S Loeber; F Kiefer; F Wagner; K Mann; B Croissant
Journal:  Nervenarzt       Date:  2009-09       Impact factor: 1.214

9.  When what you see isn't what you get: alcohol cues, alcohol administration, prediction error, and human striatal dopamine.

Authors:  Karmen K Yoder; Evan D Morris; Cristian C Constantinescu; Tee-Ean Cheng; Marc D Normandin; Sean J O'Connor; David A Kareken
Journal:  Alcohol Clin Exp Res       Date:  2008-10-31       Impact factor: 3.455

10.  Determination of carbohydrate-deficient transferrin in a Han Chinese population.

Authors:  Binbin Song; Jing Zhu; Jiong Wu; Chunyan Zhang; Beili Wang; Baishen Pan; Wei Guo
Journal:  BMC Biochem       Date:  2014-02-27       Impact factor: 4.059

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