Literature DB >> 31715439

The maximum alcohol withdrawal syndrome score associates with worse clinical outcomes-A retrospective cohort study.

Alexandra N Griessbach1, Beatrice U Mueller2, Edouard Battegay3, Patrick E Beeler4.   

Abstract

BACKGROUND: The Wetterling alcohol withdrawal syndrome (AWS) scale determines withdrawal severity and guides treatment. We investigated associations between maximum AWS scores and clinical outcomes.
METHODS: This retrospective cohort study considered AWS assessments measured from 8/2015-8/2017. We used multivariable linear and logistic regression to analyze associations between the maximum score and increased length of stay (LOS) and in-hospital mortality, respectively. Firstly, we investigated the maximum score of all AWS assessments any time during the stay, secondly, the maximum measured only within the first 3 days of withdrawal.
RESULTS: A total of 2,464 hospital stays showed that, patients with "mild" (<6), "moderate" (6-9), and "severe" (>9) maximum scores had median LOS of 5.93, 9.35, 14.71 days, mortality was 1.7%, 4.8%, 8.0%, respectively. Regression showed that a higher maximum score was independently associated with increased LOS and mortality (both p < 0.001). Based on the maximum AWS score within the first 3 days, the median LOS was 6.18, 9.00, 12.89 days, mortality was 2.2%, 3.6%, 7.6%, respectively. A higher maximum score in the first 3 days was independently associated with increased LOS (p = 0.036) and mortality (p = 0.001). Severe maximum AWS scores within 3 days of withdrawal had an odds ratio of 2.53 (95% CI: 1.27, 4.82; p = 0.0060) for in-hospital death.
CONCLUSIONS: Maximum AWS scores associate independently with increased LOS and in-hospital mortality. This association is reproducible within the first 3 days of withdrawal. Development of such a 3-day tool could help clinicians assess the risk of worse clinical outcomes early on and adjust care accordingly.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alcohol use disorder (AUD); Alcohol withdrawal syndrome (AWS); In-hospital mortality; Length of stay (LOS); Multimorbidity; Wetterling scale (AWS scale)

Year:  2019        PMID: 31715439     DOI: 10.1016/j.drugalcdep.2019.107708

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  1 in total

1.  Alcohol withdrawal in past-year drinkers with unhealthy alcohol use: Prevalence, characteristics, and correlates in a national epidemiologic survey.

Authors:  Ofir Livne; Richard Feinn; Justin Knox; Emily E Hartwell; Joel Gelernter; Deborah S Hasin; Henry R Kranzler
Journal:  Alcohol Clin Exp Res       Date:  2022-03       Impact factor: 3.455

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.