Diagnostic Validity of Drinking Behaviour for Identifying Alcohol Use Disorder: Findings from a Nationally Representative Sample of Community Adults and an Inpatient Clinical Sample

Molly L Garber, Andriy Samokhvalov, Yelena Chorny, Onawa Labelle, Brian Rush, Jean Costello, James MacKillop
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Abstract

Background and Aims: Alcohol consumption is an inherent feature of alcohol use disorder (AUD), and drinking characteristics may be diagnostically informative. This study had three aims: (1) to examine the classification accuracy of several drinking quantity/frequency indicators in a large representative sample of U.S. community adults; (2) to extend the findings to a clinical sample of adults; and (3) to examine potential sex differences. Design: In cross-sectional epidemiological and clinical datasets, receiver operating characteristic (ROC) curves were used to evaluate diagnostic classification using area under the curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Measurements: Classifiers included measures of quantity/frequency (e.g., drinks/drinking day, largest drinks/drinking day, number of drinking days, and heavy drinking frequency). The clinical criterion (reference standard) was AUD diagnostic status per structured clinical interview (community sample) or a symptom checklist (clinical sample). Setting and Participants: Two samples were examined: a large, nationally representative random sample of U.S. community adults who reported past-year drinking (N=25,778, AUD=20%) and a clinical sample from a Canadian mental health and addictions inpatient treatment centre (N=1,341, AUD=82%). Findings: All drinking indicators performed much better than chance at classifying AUD (AUCs=0.60-0.92, ps<.0001). Heavy drinking frequency indicators performed optimally in both the community (AUCs=0.78-0.87; accuracy=0.72-0.80) and clinical (AUC=0.85-0.92; accuracy =0.77-0.89) samples. Collectively, the most discriminating drinking behaviors were number of heavy drinking episodes and exceeding drinking low-risk guidelines. No substantive sex differences in optimal cut-offs or variable performance were observed. Conclusions: Quantitative drinking indices performed well at classifying AUD in both a nationally representative and large inpatient sample, robustly identifying AUD at rates much better than chance and above accepted benchmarks, with limited differences by sex. These findings broadly support the potential clinical utility of quantitative drinking indicators, such as routine patient assessment via electronic medical records.
鉴别酒精使用障碍的饮酒行为诊断有效性:具有全国代表性的社区成人样本和住院临床样本的研究结果
背景与目的:饮酒是酒精使用障碍(AUD)的固有特征,饮酒特征可能具有诊断意义。本研究有三个目的:(1) 在具有代表性的美国社区成人大样本中,检验几种饮酒量/频率指标的分类准确性;(2) 将研究结果扩展到成人临床样本;(3) 检验潜在的性别差异。设计:在横断面流行病学和临床数据集中,使用接收器操作特征曲线(ROC)来评估诊断分类,包括曲线下面积(AUC)、准确性、灵敏度、特异性、阳性预测值(PPV)和阴性预测值(NPV)。测量:分类指标包括数量/频率(如饮酒/饮酒日、最大饮酒/饮酒日、饮酒天数和大量饮酒频率)。临床标准(参考标准)是通过结构化临床访谈(社区样本)或症状核对表(临床样本)得出的 AUD 诊断状态。研究地点和参与者:对两个样本进行了研究:一个是具有全国代表性的大型随机样本,即报告过去一年饮酒的美国社区成人样本(样本数=25,778,AUD=20%);另一个是来自加拿大心理健康和成瘾住院治疗中心的临床样本(样本数=1,341,AUD=82%)。研究结果:在对 AUD 进行分类时,所有饮酒指标的表现都比偶然性好得多(AUC=0.60-0.92,ps<.0001)。重度饮酒频率指标在社区样本(AUC=0.78-0.87;准确度=0.72-0.80)和临床样本(AUC=0.85-0.92;准确度=0.77-0.89)中的表现均为最佳。总的来说,最具鉴别性的饮酒行为是大量饮酒次数和超过饮酒低风险准则。在最佳临界值或变量性能方面没有观察到实质性的性别差异。结论在一个具有全国代表性的大型住院样本中,定量饮酒指数在对 AUD 进行分类方面表现良好,对 AUD 的识别率远高于偶然性和公认的基准,且性别差异有限。这些发现广泛支持了定量饮酒指标的潜在临床用途,如通过电子病历对患者进行常规评估。
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