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酒精使用障碍识别测试(AUDIT)可预测住院戒酒期间的酒精戒断症状。

The Alcohol Use Disorders Identification Test (AUDIT) predicts alcohol withdrawal symptoms during inpatient detoxification.

作者信息

Reoux Joseph P, Malte Carol A, Kivlahan Daniel R, Saxon Andrew J

机构信息

Veterans Affairs Puget Sound Health Care System, Addictions Treatment Center, Seattle, WA 98108, USA.

出版信息

J Addict Dis. 2002;21(4):81-91. doi: 10.1300/J069v21n04_08.

Abstract

We evaluated whether the Alcohol Use Disorders Identification Test (AUDIT) predicted clinically meaningful alcohol withdrawal syndrome (AWS) in 118 alcohol dependent patients without a history of seizures. Patients were monitored by serial administration of the revised Clinical Institute Withdrawal Assessment Scale for Alcohol (CIWA-Ar) during inpatient detoxification. Patients (N = 55) who reached threshold level of AWS for receiving medication (CIWA-Ar > 9) scored significantly higher (p <.001) on the AUDIT total score, the dependence sub-scale, and the single item on morning drinking. Sensitivity, specificity, positive and negative predictive power, and screening efficiency showed the value of the AUDIT for identifying patients who developed AWS. The AUDIT should be explored alone and in combination with other parameters to improve screening for clinically meaningful AWS in other settings.

摘要

我们评估了酒精使用障碍识别测试(AUDIT)能否预测118名无癫痫病史的酒精依赖患者临床上有意义的酒精戒断综合征(AWS)。在住院戒酒期间,通过连续使用修订后的酒精临床研究所戒断评估量表(CIWA-Ar)对患者进行监测。达到接受药物治疗的AWS阈值水平(CIWA-Ar>9)的患者(N = 55)在AUDIT总分、依赖子量表以及早晨饮酒单项上的得分显著更高(p<.001)。敏感性、特异性、阳性和阴性预测能力以及筛查效率显示了AUDIT在识别发生AWS的患者方面的价值。应单独探讨AUDIT,并将其与其他参数结合起来,以改善在其他环境中对临床上有意义的AWS的筛查。

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