Aims: Alcohol consumption has been suggested a major role in the pathogenesis and prognosis of depression. However, reliable identification of hazardous drinking continues to be problematic. We compared the accuracy of different biomarkers and self-reports of alcohol consumption in the follow-up study of depression.
Methods: Data from 202 patients with major depressive disorder were obtained through self-reports, AUDIT and AUDIT-C questionnaires and biomarker analyses. The clinical assessments and measurements of biomarkers (GT, CDT, GT-CDT-combination, MCV, ALT, AST, hs-CRP, IL-6) were performed at baseline and after six months of treatment. Based on self-reported alcohol intake at baseline the patients were classified to three subgroups.
Results: About 27.2% of patients were categorized to high-risk drinkers, 26.3% low-risk drinkers and 46.5% abstainers. High-risk drinkers showed significantly higher mean values of GT, CDT, GT-CDT-combination and IL-6 than abstainers, diagnostic accuracy being highest with the combined marker of GT-CDT. The accuracy of AUDIT and AUDIT-C to detect high-risk drinking was also significant. During follow-up, the differences observed in the biomarkers at baseline disappeared together with recovery from depression.
Conclusions: Our data suggest the combined use of GT-CDT and AUDIT questionnaires to improve the identification of drinking of patients with depression. This approach could be useful for improving treatment adherence and outcome in depressed patients.
Keywords: CDT; GT; alcohol; depression; interleukin; liver.
© The Author(s) 2019. Medical Council on Alcohol and Oxford University Press. All rights reserved.