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    The proposed ICD-11 classification includes major revisions of alcohol dependence. We aimed to evaluate the presence of, and concordance between the proposed ICD-11 dependence and ICD-10, DSM-5, DSM-IV, DSM-III-R and DSM-III in a general population. We also examine as aspects of validity, including longitudinal stability and how meaningful clinical correlates associated across the systems. Longitudinal population-based study of women in Gothenburg, Sweden. Participants (n = 1,614) were sampled during 1989-2015 through double-phase stratified random sampling. Alcohol use disorders were assessed through structured diagnostic interviews (CIDI-SAM), at baseline and follow-up 5-10 years later (n = 930). Concordance was examined using contingency tables and Cohen's kappa coefficient. At baseline, the prevalence of lifetime alcohol dependence was 10.6 % according to ICD-11. Corresponding figures were ICD-10, 4.0 %; DSM-IV, 4.3 %; DSM-III-R, 7.5 %; and DSM-III, 12.3 %.DSM-5 Alcohol Use Disorder was 14.3 %. Concordance between ICD-11 and other diagnoses ranged from almost perfect agreement (with DSM-5 AUD) to substantial (with DSM-III and DSM-III-R) and moderate (with ICD-10 and DSM-IV). The broadening of the "persistent use despite problems" criteria in ICD-11 had little effect on the prevalence. ICD-11 captured a lower proportion of family history of alcohol problems and treatment-seeking compared to ICD-10 and DSM-IV and showed lower stability. The proposed ICD-11 algorithm yields a higher prevalence than either ICD-10 or DSM-III-R /-IV dependence, as well as lower agreement with previous diagnostic systems, lower longitudinal stability and weaker associations with clinical correlates. This is important for knowing how changes in diagnostic criteria impact prevalence estimates and related research. Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

    Citation

    A Lundin, M Waern, J Löve, S Lövestad, G Hensing, A-K Danielsson. Towards ICD-11 for alcohol dependence: Diagnostic agreement with ICD-10, DSM-5, DSM-IV, DSM-III-R and DSM-III diagnoses in a Swedish general population of women. Drug and alcohol dependence. 2021 Oct 01;227:108925


    PMID: 34358771

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