Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
Public Health Modeling Unit, Yale School of Public Health, New Haven, USA.
Clin Infect Dis. 2023 Jun 16;76(12):2134-2139. doi: 10.1093/cid/ciad073.
Since 2014, multiple outbreaks of human immunodeficiency virus (HIV) among people who inject drugs have occurred across the United States along with hepatitis C virus (HCV), skin and soft tissue infections (SSTIs), and infective endocarditis (IE), creating a converging public health crisis.
We analyzed the temporal patterns of infectious disease and overdose using a hierarchical Bayesian distributed lag logistic regression model examining the probability that a given geographic area experienced at least 1 HIV case in a given month as a function of the counts/rates of overdose, HCV, SSTI, and IE and associated medical procedures at different lagged time periods.
Current-month HIV is associated with increasing HCV cases, abscess incision and drainage, and SSTI cases, in distinct temporal patterns. For example, 1 additional HCV case occurring 5 and 7 months previously is associated with a 4% increase in the odds of observing at least 1 current-month HIV case in a given locale (odds ratios, 1.04 [90% credible interval {CrI}: 1.01-1.10] and 1.04 [90% CrI: 1.00-1.09]). No such associations were observed for echocardiograms, IE, or overdose.
Lagged associations in other infections preceding rises in current-month HIV counts cannot be described as predictive of HIV outbreaks but may point toward newly discovered epidemics of injection drug use and associated clinical sequalae, prompting clinicians to screen patients more carefully for substance use disorder and associated infections.
自 2014 年以来,美国多个地区相继出现了人免疫缺陷病毒(HIV)、丙型肝炎病毒(HCV)、皮肤和软组织感染(SSTI)和感染性心内膜炎(IE)的暴发,这些疾病的暴发形成了一个集中的公共卫生危机。
我们使用分层贝叶斯分布滞后逻辑回归模型分析了传染病和过量用药的时间模式,该模型考察了特定地理区域在特定月份至少出现 1 例 HIV 病例的概率与过量用药、HCV、SSTI 和 IE 以及不同滞后时间内相关医疗程序的计数/比率之间的关系。
当前月份的 HIV 与 HCV 病例的增加、脓肿切开引流和 SSTI 病例呈不同的时间模式相关。例如,前 5 个月和前 7 个月每增加 1 例 HCV 病例,观察到特定地点至少 1 例当前月份 HIV 病例的几率就会增加 4%(比值比,1.04[90%可信区间{CrI}:1.01-1.10]和 1.04[90% CrI:1.00-1.09])。而超声心动图、IE 或过量用药则没有这种关联。
在当前月份 HIV 计数上升之前,其他感染的滞后关联不能被描述为 HIV 暴发的预测因素,但可能指向新发现的注射毒品使用和相关临床后果的流行,促使临床医生更仔细地筛查患者是否存在物质使用障碍和相关感染。