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  3. Direct Alcohol Biomarkers Prediction Capacity on Relapse and Mortality in Liver Transplantation Candidates: A Follow-Up Study

Direct Alcohol Biomarkers Prediction Capacity on Relapse and Mortality in Liver Transplantation Candidates: A Follow-Up Study

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DOI
10.48350/157115
Publisher DOI
10.3390/transplantology2030023
Abstract
Liver transplantation is a complex procedure that requires multiple evaluations, including abstinence monitorization. While literature assessing the impact of different variables on relapse, survival, and graft loss exists, little is known about the predictive capacity of direct alcohol biomarkers. The primary aim of this study was to evaluate the prediction capacity of direct alcohol biomarkers regarding patient survival and clinical relapse. We hypothesized that patients screening positive for any of the experimental biomarkers would show an increased risk of clinical alcohol relapse and death. We conducted a retrospective data recollection from medical files of patients awaiting liver transplantation, who were at baseline screened with Peth, EtG in hair and urine, and EtS. We tested the prediction capacity of the biomarkers with two Cox-regression models. A total of 50 patients were included (84% men, mean age 59 years (SD = 6)). Biomarkers at baseline were positive in 18 patients. The mean follow-up time for this study was 26 months (SD = 10.4). Twelve patients died, liver transplantation was carried out in 12 patients, and clinical relapse was observed in eight patients. The only significant covariate in the Cox-regression models was age with clinical relapse, with younger patients being at greater risk of relapse. This study could not find a significant prediction capacity of direct alcohol biomarkers for mortality or clinical relapse during follow-up. Higher sample sizes might be needed to detect statistically significant differences. All in all, we believe that direct alcohol biomarkers should be widely used in liver transplantation settings due to their high sensitivity for the detection of recent drinking.
Date Issued
2021
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Author(s)
Barrio, Pablo
Marco, Oriol
Druetta, Mauro
Tardon, Laia
Lligonya, Anna
Wurst, Friedrich Martin
Weinmann, Wolfgang  
Institut für Rechtsmedizin (IRM)  
Institut für Rechtsmedizin (IRM)  
Institut für Rechtsmedizin, Forensische Chemie und Toxikologie  
Yegles, Michel
Gual, Antoni
Additional Credits
Institut für Rechtsmedizin, Forensische Chemie und Toxikologie  
Institut für Rechtsmedizin (IRM)  
Journal
Transplantology
Publisher
MDPI
ISSN
2673-3943
Access(Rights)
open.access
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