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孟加拉国锡塔昆达血清学队列研究:戊型肝炎病毒感染和血清学转换的年发病风险。

Annual risk of hepatitis E virus infection and seroreversion: Insights from a serological cohort in Sitakunda, Bangladesh.

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Infectious Disease Division, icddr, b, Dhaka, Bangladesh.

出版信息

Epidemiol Infect. 2024 Mar 18;152:e52. doi: 10.1017/S0950268824000438.

Abstract

Hepatitis E virus (HEV) is a major cause of acute jaundice in South Asia. Gaps in our understanding of transmission are driven by non-specific symptoms and scarcity of diagnostics, impeding rational control strategies. In this context, serological data can provide important proxy measures of infection. We enrolled a population-representative serological cohort of 2,337 individuals in Sitakunda, Bangladesh. We estimated the annual risks of HEV infection and seroreversion both using serostatus changes between paired serum samples collected 9 months apart, and by fitting catalytic models to the age-stratified cross-sectional seroprevalence. At baseline, 15% (95 CI: 14-17%) of people were seropositive, with seroprevalence highest in the relatively urban south. During the study, 27 individuals seroreverted (annual seroreversion risk: 15%, 95 CI: 10-21%), and 38 seroconverted (annual infection risk: 3%, 95CI: 2-5%). Relying on cross-sectional seroprevalence data alone, and ignoring seroreversion, underestimated the annual infection risk five-fold (0.6%, 95 CrI: 0.5-0.6%). When we accounted for the observed seroreversion in a reversible catalytic model, infection risk was more consistent with measured seroincidence. Our results quantify HEV infection risk in Sitakunda and highlight the importance of accounting for seroreversion when estimating infection incidence from cross-sectional seroprevalence data.

摘要

戊型肝炎病毒(HEV)是南亚地区急性黄疸的主要病因。由于非特异性症状和诊断方法稀缺,我们对传播途径的了解存在差距,这阻碍了合理的控制策略的制定。在这种情况下,血清学数据可以提供感染的重要替代指标。我们在孟加拉国的锡塔库纳招募了一个具有代表性的血清学队列,共 2337 人。我们通过比较 9 个月间隔采集的配对血清样本中血清状态的变化,以及通过拟合年龄分层的横断面血清流行率的催化模型,分别估计了 HEV 感染和血清学转换的年风险。在基线时,15%(95%CI:14-17%)的人血清阳性,血清阳性率在相对城市化的南部最高。在研究期间,27 人血清学转换(年血清学转换风险:15%,95%CI:10-21%),38 人血清学转阳(年感染风险:3%,95%CI:2-5%)。仅依赖横断面血清流行率数据,而忽略血清学转换,会使年感染风险低估五倍(0.6%,95CrI:0.5-0.6%)。当我们在可逆的催化模型中考虑到观察到的血清学转换时,感染风险与测量的血清学发病率更为一致。我们的研究结果量化了锡塔库纳的 HEV 感染风险,并强调了在从横断面血清流行率数据估计感染发病率时,考虑血清学转换的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6efd/11022260/561c55e64ec4/S0950268824000438_fig1.jpg

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