Molecular Network Analysis Discloses the Limited Contribution to HIV Transmission for Patients with Late HIV Diagnosis in Northeast China

Arch Sex Behav. 2023 Feb;52(2):679-687. doi: 10.1007/s10508-022-02492-4. Epub 2022 Dec 20.

Abstract

In the "treat all" era, the high rate of late HIV diagnosis (LHD) worldwide remains an impediment to ending the HIV epidemic. In this study, we analyzed LHD in newly diagnosed people living with HIV (PLWH) and its impact on HIV transmission in Northeast China. Sociodemographic information, baseline clinical data, and plasma samples obtained from all newly diagnosed PLWH in Shenyang, the largest city in Northeast China, between 2016 and 2019 were evaluated. Multivariate logistic regression analysis was performed to identify risk factors associated with LHD. A molecular network based on the HIV pol gene was constructed to assess the risk of HIV transmission with LHD. A total of 2882 PLWH, including 882 (30.6%) patients with LHD and 1390 (48.2%) patients with non-LHD, were enrolled. The risk factors for LHD were older age (≥ 30 years: p < .01) and diagnosis in the general population through physical examination (p < .0001). Moreover, the molecular network analysis revealed that the clustering rate (p < .0001), the fraction of individuals with ≥ 4 links (p = .0847), and the fraction of individuals linked to recent HIV infection (p < .0001) for LHD were significantly or marginally significantly lower than those recorded for non-LHD. Our study indicates the major risk factors associated with LHD in Shenyang and their limited contribution to HIV transmission, revealing that the peak of HIV transmission of LHD at diagnosis may have been missed. Early detection, diagnosis, and timely intervention for LHD may prevent HIV transmission.

Keywords: China; HIV; Late diagnosis; Molecular network; Subtype.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / epidemiology
  • Early Diagnosis
  • HIV Infections* / diagnosis
  • HIV Infections* / drug therapy
  • HIV Infections* / epidemiology
  • Humans
  • Risk Factors