Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina.
Am J Epidemiol. 2019 Oct 1;188(10):1830-1837. doi: 10.1093/aje/kwz159.
Among persons with human immunodeficiency virus (HIV) infection, illegal drug use and hazardous alcohol use are hypothesized to be strong risk factors for failure to achieve or maintain a suppressed HIV viral load, but accurate quantification of this association is difficult because of challenges involved in measuring substance use as part of routine clinical care. We estimated the associations of recent cocaine use, opioid/heroin use, and hazardous alcohol use with unsuppressed viral load among 1,554 persons receiving care at the John G. Bartlett Specialty Practice (Baltimore, Maryland) between 2013 and 2017. We accounted for measurement error in substance use using Bayesian models and prior estimates of the sensitivity and specificity of 2 imperfect measures of substance use derived from a previous analysis in this cohort. The prevalence difference for unsuppressed viral load associated with recent cocaine use was 11.3% (95% credible interval (CrI): 6.4, 17.0); that associated with recent opioid/heroin use was 13.2% (95% CrI: 6.6, 20.7); and that associated with recent hazardous alcohol use was 8.5% (95% CrI: 3.2, 14.4). Failure to account for measurement error resulted in clinically meaningful underestimates of the prevalence difference. Time-varying substance use is prevalent and difficult to measure in routine care; here we demonstrate a method that improves the utility of imperfect data by accounting for measurement error.
在人类免疫缺陷病毒 (HIV) 感染者中,非法药物使用和危险饮酒被认为是导致 HIV 病毒载量未能得到抑制或维持的强危险因素,但由于在常规临床护理中测量物质使用存在挑战,准确量化这种关联较为困难。我们估计了在 2013 年至 2017 年期间在马里兰州巴尔的摩的 John G. Bartlett 专业实践(John G. Bartlett Specialty Practice)接受治疗的 1554 名患者中,最近可卡因使用、阿片类药物/海洛因使用和危险饮酒与未抑制病毒载量之间的关联。我们使用贝叶斯模型来解释物质使用的测量误差,并利用以前在该队列中进行的分析得出的 2 种不完美物质使用测量方法的灵敏度和特异性的先前估计来进行物质使用的测量误差的解释。最近可卡因使用与未抑制病毒载量相关的患病率差异为 11.3%(95%可信区间:6.4,17.0);最近阿片类药物/海洛因使用与未抑制病毒载量相关的患病率差异为 13.2%(95%可信区间:6.6,20.7);最近危险饮酒与未抑制病毒载量相关的患病率差异为 8.5%(95%可信区间:3.2,14.4)。未解释测量误差会导致对患病率差异的临床意义低估。在常规护理中,物质使用的时变和难以测量;在这里,我们展示了一种通过解释测量误差来提高不完美数据实用性的方法。