Abstract
AbstractThis naturalistic study among patients with alcohol dependence examined whether routine blood biomarkers could help to identify patients with high risk for relapse after withdrawal treatment. In a longitudinal study with 6-month follow-up among 133 patients with alcohol dependence who received inpatient alcohol withdrawal treatment, we investigated the usefulness of routine blood biomarkers and clinical and sociodemographic factors for potential outcome prediction and risk stratification. Baseline routine blood biomarkers (gamma-glutamyl transferase [GGT], alanine aminotransferase [ALT/GPT], aspartate aminotransferase [AST/GOT], mean cell volume of erythrocytes [MCV]), and clinical and sociodemographic characteristics were recorded at admission. Standardized 6 months’ follow-up assessed outcome variables continuous abstinence, days of continuous abstinence, daily alcohol consumption and current abstinence. The combined threshold criterion of an AST:ALT ratio > 1.00 and MCV > 90.0 fl helped to identify high-risk patients. They had lower abstinence rates (P = 0.001), higher rates of daily alcohol consumption (P < 0.001) and shorter periods of continuous abstinence (P = 0.027) compared with low-risk patients who did not meet the threshold criterion. Regression analysis confirmed our hypothesis that the combination criterion is an individual baseline variable that significantly predicted parts of the respective outcome variances. Routinely assessed indirect alcohol biomarkers help to identify patients with high risk for relapse after alcohol withdrawal treatment. Clinical decision algorithms to identify patients with high risk for relapse after alcohol withdrawal treatment could include classical blood biomarkers in addition to clinical and sociodemographic items.
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Biological Psychiatry,Psychiatry and Mental health,General Medicine
Reference42 articles.
1. Aguiar P, Neto D, Lambaz R, Chick J, Ferrinho P (2012) Prognostic factors during outpatient treatment for alcohol dependence: cohort study with 6 months of treatment follow-up. Alcohol Alcohol 47:702–710
2. Alatalo P, Koivisto H, Puukka K, Hietala J, Anttila P, Bloigu R, Niemela O (2009) Biomarkers of liver status in heavy drinkers, moderate drinkers and abstainers. Alcohol Alcohol 44:199–203
3. Andresen-Streichert H, Muller A, Glahn A, Skopp G, Sterneck M (2018) Alcohol biomarkers in clinical and forensic contexts. Dtsch Arztebl Int 115:309–315
4. Babor TF, Steinberg K, Anton R, Del Boca F (2000) Talk is cheap: measuring drinking outcomes in clinical trials. J Stud Alcohol 61:55–63
5. Batra A, Muller CA, Mann K, Heinz A (2016) Alcohol dependence and harmful use of alcohol. Dtsch Arztebl Int 113:301–310
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献