Aims The goal of this study was to develop a standard measure of AUD severity that includes multiple dimensions and can be used in clinical settings to inform treatment selection. Methods A large sample (n = 1939) of moderate to heavy drinkers was amassed from six psychopharmacology studies. The severity factor was comprised of four dimensions: withdrawal, craving, AUD symptoms and alcohol-related consequences. First, a confirmatory factor analysis (CFA) was conducted to examine model fit. Next, a comprehensive item list from the four measures (i.e. CIWA, DrinC, PACs and SCID-5 AUD criteria) was reduced through exploratory factor analysis (EFA). Once the final items were merged into a preliminary assessment, an EFA was run to observe the factor structure. Initial validation of the measure was obtained via associations with clinical endpoints. Results The chi-square test statistic (${\chi}^2(2)=2.432\ P=0.297$) for a single-factor model of severity demonstrated good fit. Additional goodness-of-fit indices from the CFA revealed similar support for the single-factor model of severity (i.e. SRMSR = 0.011; RMSEA = 0.011; CFI = 0.999). Next, nine items from the individual EFAs were selected based on factor loading. The final EFA conducted on the 9-item scale demonstrated that a single factor model of severity best fit the data. Analysis of the psychometric properties revealed good internal consistency ($\alpha$= 0.79). Conclusions The current study extends upon the measurement of severity and supports a brief severity measure. This brief 9-item scale can be leveraged in future studies as a screening instrument and as a tool for personalized medicine.

中文翻译：

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简短的酒精使用障碍严重程度量表：初步验证评估

目的 本研究的目标是制定 AUD 严重程度的标准衡量标准，包括多个维度，可用于临床环境，为治疗选择提供信息。方法 从六项精神药理学研究中收集了大量中度至重度饮酒者样本（n = 1939）。严重程度因素由四个维度组成：戒断、渴望、AUD 症状和酒精相关后果。首先，进行验证性因素分析（CFA）来检查模型拟合度。接下来，通过探索性因素分析 (EFA) 减少了四项措施（即 CIWA、DrinC、PAC 和 SCID-5 AUD 标准）的综合项目列表。一旦最终项目合并到初步评估中，就会运行 EFA 来观察因素结构。该措施的初步验证是通过与临床终点的关联获得的。结果严重程度单因素模型的卡方检验统计量 (${\chi}^2(2)=2.432\ P=0.297$) 表现出良好的拟合度。CFA 的其他拟合优度指数显示了对严重性单因素模型的类似支持（即 SRMSR = 0.011；RMSEA = 0.011；CFI = 0.999）。接下来，根据因子负载从各个 EFA 中选择九个项目。根据 9 项量表进行的最终全民教育表明，严重程度的单因素模型最适合数据。心理测量特性的分析显示出良好的内部一致性（$\alpha$= 0.79）。结论 当前的研究扩展了严重性的测量并支持简单的严重性测量。这个简短的 9 项量表可以在未来的研究中用作筛查工具和个性化医疗工具。