Clipman Steven J, Mehta Shruti H, Mohapatra Shobha, Srikrishnan Aylur K, Zook Katie J C, Kumar Muniratnam Suresh, Lucas Gregory M, Latkin Carl A, Solomon Sunil S
Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
J Viral Hepat. 2024 Sep;31(9):535-543. doi: 10.1111/jvh.13960. Epub 2024 Jun 4.
People who inject drugs (PWID) account for some of the fastest-growing HCV epidemics globally. While individual risk factors for infection are understood, less is known about network and spatial factors critical for elimination strategies. Two thousand five hundred twelve PWID in New Delhi, India, were recruited (2017-19) through network referrals. Biometrics identified duplicates and cross-network linkages. Participants completed semi-annual surveys and blood tests for HCV antibodies and RNA. Poisson regression and network analyses identified predictors of incident HCV and compared network-based intervention approaches. Baseline HCV antibody prevalence was 65.1%, of whom 79.6% were HCV RNA-positive. We observed 92 HCV seroconversions over 382.25 person-years (incidence: 24.1 per 100 person-years). Of the 92 seroconverters, 67% (62) were directly connected to an RNA-positive participant, and all were within one degree of separation from an RNA-positive participant. Individual-level factors associated with seroconversion included age, sexual activity, and injection behaviours. After adjusting for individual-level factors, seroconversion was significantly associated with number of RNA-positive partners (adjusted incidence rate ratio [AIRR] = 1.30) and injecting at a particular venue (AIRR = 2.53). This association extended to indirect ties, with 17% reduced odds of seroconversion for each degree of separation from the venue (AIRR = 0.83). Network analyses comparing intervention strategies found that targeting venues identified more cases compared to a treat-a-friend approach. We observed a fast-growing HCV epidemic driven by viremia within individuals' immediate networks and indirect social and spatial ties, demonstrating the importance of achieving broad, sustained virologic response and rethinking network-based interventions to include venues.
注射毒品者(PWID)是全球丙型肝炎病毒(HCV)疫情增长最快的群体之一。虽然已知个体感染风险因素,但对于消除策略至关重要的网络和空间因素了解较少。2017年至2019年期间,通过网络推荐在印度新德里招募了2512名注射毒品者。生物识别技术识别出重复人员和跨网络联系。参与者每半年完成一次关于HCV抗体和RNA的调查及血液检测。泊松回归和网络分析确定了HCV感染的预测因素,并比较了基于网络的干预方法。基线时HCV抗体流行率为65.1%,其中79.6%为HCV RNA阳性。在382.25人年的观察期内,我们观察到92例HCV血清转化(发病率:每100人年24.1例)。在这92例血清转化者中,67%(62例)与RNA阳性参与者直接相连,且均与RNA阳性参与者相隔不超过一度。与血清转化相关的个体层面因素包括年龄、性行为和注射行为。在调整个体层面因素后,血清转化与RNA阳性伴侣数量(调整后的发病率比[AIRR]=1.30)以及在特定场所注射(AIRR=2.53)显著相关。这种关联延伸到间接联系,与该场所每相隔一度,血清转化的几率降低17%(AIRR=0.83)。比较干预策略的网络分析发现,与“治疗朋友”方法相比,针对场所进行干预能发现更多病例。我们观察到,个体直接网络以及间接社会和空间联系中的病毒血症导致HCV疫情快速增长,这表明实现广泛、持续的病毒学应答以及重新思考基于网络的干预措施以纳入场所的重要性。