Evaluation of the course and treatment of Alcohol Withdrawal Syndrome with the Clinical Institute Withdrawal Assessment for Alcohol - Revised: A systematic review-based meta-analysis.


Journal

Drug and alcohol dependence
ISSN: 1879-0046
Titre abrégé: Drug Alcohol Depend
Pays: Ireland
ID NLM: 7513587

Informations de publication

Date de publication:
01 03 2021
Historique:
received: 15 07 2020
revised: 11 12 2020
accepted: 26 12 2020
pubmed: 28 1 2021
medline: 9 6 2021
entrez: 27 1 2021
Statut: ppublish

Résumé

Although the Clinical Institute Withdrawal Assessment for Alcohol - Revised (CIWA-Ar) is a gold standard tool for the clinical evaluation of alcohol withdrawal syndrome (AWS), a systematic analysis using the total scores of the CIWA-Ar as a means of an objective follow-up of the course and treatment of AWS is missing. The aims of the present study were to systematically evaluate scientific data using the CIWA-Ar, to reveal whether the aggregated CIWA-Ar total scores follow the course of AWS and to compare benzodiazepine (BZD) and non-benzodiazepine (nBZD) therapies in AWS. 1054 findings were identified with the keyword "ciwa" from four databases (PubMed, ScienceDirect, Web of Science, Cochrane Registry). Articles using CIWA-Ar in patients treated with AWS were incorporated and two measurement intervals (cumulative mean data of day 1-3 and day 4-9) of the CIWA-Ar total scores were compared. Subgroup analysis based on pharmacotherapy regimen was conducted to compare the effectiveness of BZD and nBZD treatments. The random effects analysis of 423 patients showed decreased CIWA-Ar scores between the two measurement intervals (BZD: d = -1.361; CI: -1.829 < δ < -0.893; nBZD: d = -0.858; CI: -1.073 < δ < -0.643). Sampling variances were calculated for the BZD (v Our findings support that the CIWA-Ar follows the course of AWS. Furthermore, nBZD therapy has a similar effectiveness compared to BZD treatment based on the CIWA-Ar total scores.

Sections du résumé

BACKGROUND
Although the Clinical Institute Withdrawal Assessment for Alcohol - Revised (CIWA-Ar) is a gold standard tool for the clinical evaluation of alcohol withdrawal syndrome (AWS), a systematic analysis using the total scores of the CIWA-Ar as a means of an objective follow-up of the course and treatment of AWS is missing. The aims of the present study were to systematically evaluate scientific data using the CIWA-Ar, to reveal whether the aggregated CIWA-Ar total scores follow the course of AWS and to compare benzodiazepine (BZD) and non-benzodiazepine (nBZD) therapies in AWS.
METHODS
1054 findings were identified with the keyword "ciwa" from four databases (PubMed, ScienceDirect, Web of Science, Cochrane Registry). Articles using CIWA-Ar in patients treated with AWS were incorporated and two measurement intervals (cumulative mean data of day 1-3 and day 4-9) of the CIWA-Ar total scores were compared. Subgroup analysis based on pharmacotherapy regimen was conducted to compare the effectiveness of BZD and nBZD treatments.
RESULTS
The random effects analysis of 423 patients showed decreased CIWA-Ar scores between the two measurement intervals (BZD: d = -1.361; CI: -1.829 < δ < -0.893; nBZD: d = -0.858; CI: -1.073 < δ < -0.643). Sampling variances were calculated for the BZD (v
CONCLUSIONS
Our findings support that the CIWA-Ar follows the course of AWS. Furthermore, nBZD therapy has a similar effectiveness compared to BZD treatment based on the CIWA-Ar total scores.

Identifiants

pubmed: 33503582
pii: S0376-8716(21)00031-4
doi: 10.1016/j.drugalcdep.2021.108536
pii:
doi:

Substances chimiques

Benzodiazepines 12794-10-4
Ethanol 3K9958V90M

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

108536

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Ildikó Katalin Pribék (IK)

Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary. Electronic address: pribek.ildiko.katalin@med.u-szeged.hu.

Ildikó Kovács (I)

Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.

Bettina Kata Kádár (BK)

Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.

Csenge Sára Kovács (CS)

Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.

Mara J Richman (MJ)

Department of Psychiatry and Psychotherapy, Semmelweis University, Balassa Street 8, H-1085, Budapest, Hungary; Endeavor Psychology, 10 Newbury Street, Boston, MA, 02116, USA.

Zoltán Janka (Z)

Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.

Bálint Andó (B)

Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary.

Bence András Lázár (BA)

Addiction Research Group, Department of Psychiatry, University of Szeged, 8-10 Korányi fasor, Szeged, H-6720, Hungary. Electronic address: lazar.bence.andras@med.u-szeged.hu.

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Classifications MeSH