|Titre :||Comparative performance of the AUDIT-C in screening for DSM-IV and DSM-5 alcohol use disorders (2012)|
|Auteurs :||D. A. DAWSON ; S. M. SMITH ; T. D. SAHA ; A. D. RUBINSKY ; B. F. GRANT|
|Type de document :||Article : Périodique|
|Dans :||Drug and Alcohol Dependence (Vol.126, n°3, December 2012)|
|Article en page(s) :||384-388|
|Discipline :||PRO (Produits, mode d'action, méthode de dépistage / Substances, action mode, screening methods)|
Thésaurus TOXIBASEALCOOL ; DEPISTAGE ; COMPARAISON ; AUDIT ; DSM (III,IV,5) ; PERFORMANCE
Objective: Under the proposed DSM-5 revision to the criteria for alcohol use disorder (AUD), a substantial proportion of DSM-IV AUD cases will be lost or shifted in terms of severity, with some new cases added. Accordingly, the performance of the AUDIT-C in screening for DSM-IV AUD cannot be assumed to extend to DSM-5 AUD. The objective of this paper is to compare the AUDIT-C in screening for DSM-IV and DSM-5 AUD.
Methods: Using a broad range of performance metrics, the AUDIT-C was tested and contrasted as a screener for DSM-IV AUD (any AUD, abuse and dependence) and DSM-5 AUD (any AUD, moderate AUD and severe AUD) in a representative sample of U.S. adults aged 21 and older and among past-year drinkers.
Results: Optimal AUDIT-C cutpoints were identical for DSM-IV and DSM-5 AUD: >=4 for any AUD, >=3 or >=4 for abuse/moderate AUD and >=4 or >=5 for dependence/severe AUD. Screening performance was slightly better for DSM-5 severe AUD than DSM-IV dependence but did not differ for other diagnoses. At optimal screening cutpoints, positive predictive values were slightly higher for DSM-5 overall AUD and moderate AUD than for their DSM-IV counterparts. Sensitivities were slightly higher for DSM-5 severe AUD than DSM-IV dependence. Optimal screening cutpoints shifted upwards for past-year drinkers but continued to be identical for DSM-IV and DSM-5 disorders.
Conclusions: Clinicians should not face any major overhaul of their current screening procedures as a result of the DSM-5 revision and should benefit from fewer false positive screening results.
|Domaine :||Alcool / Alcohol|
|Affiliation :||Laboratory of Epidemiology and Biometry, Division of Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA|