Demographic Characteristics and Hot-Spot Areas of Recent Infections Among New HIV Diagnoses in Sichuan, China, Between 2018 and 2020

• Published in: Infection and drug resistance Vol. 16; pp. 779 - 789
• Main Authors: Yang, Hong, Li, Yiping, He, Fang, Yuan, Fengshun, Liu, Lunhao, Li, Ling, Yuan, Dan, Ye, Li, Zhou, Chang, Zhang, Yan, Su, Ling, Liang, Shu
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2023; Taylor & Francis Ltd; Dove; Dove Medical Press
• Subjects: Acquired immune deficiency syndrome; Age; AIDS; Analysis; Avidity; CD4 antigen; Demography; Diagnostic tests; Disease hot spots; Disease transmission; Drug therapy; Epidemics; Gender; Health aspects; Highly active antiretroviral therapy; HIV; HIV (Viruses); hiv recent infection; hot spots; Human immunodeficiency virus; human immunodeficiency virus (hiv); Infection; Infections; Laboratories; Original Research; Prevention; Regression analysis; Resource allocation; Risk groups; sichuan; Spatial analysis; China; United States > US; HIV recent infection; hot spots; human immunodeficiency virus; Sichuan; HIV
• ISSN: 1178-6973; 1178-6973
• DOI: 10.2147/IDR.S394828

Sichuan Province is severely affected by the HIV epidemic in China. Little is known about the characteristics of recent infections among new HIV diagnoses, which is critical to prevention strategies, evaluation of the HIV epidemic and health resource allocation. Meanwhile, individuals at primary stages of infection are related to the hot-spot areas of ongoing transmission in new HIV diagnoses, which is also rarely known. This article aimed to report the proportion of recent infections among new HIV diagnoses, and to reveal demographic characteristics associated with HIV recent infections, and finally, to indicate the hot-spot areas of ongoing transmission in Sichuan province between 2018 and 2020. Limiting Antigen (LAg)-Avidity assay was performed to detect recent infection within new HIV diagnoses reported in odd months between 2018 and 2020. Results were reclassified according to the data on CD4 cell count, antiretroviral treatment and the existence of an AIDS-defining illness. Logistic regression was used to determine characteristics associated with HIV recent infections. The spatial analysis was conducted with ArcGIS 10.7 to figure hot-spot areas of HIV recent infections. 42,089 newly diagnosed HIV-1 cases were tested using the LAg-Avidity EIA. In total, 5848 (13.89%) of those were classified as HIV recent infections. Female, age between 18-25 years and men who had sex with men were related to higher proportion of HIV recent infections. Logistic regression revealed that MSM aged between 18-25 years were more likely to be classified as recent infection. Spatial analysis demonstrated significant clustering in Chengdu, Yibin, Luzhou city between 2018 and 2020. Hot spots were mainly clustered in the center of Sichuan in 2018, but gradually spread to southwest and northwest between 2019 and 2020. Enhanced preventive measures among relevant risk groups and areas where the potential HIV-1 transmission is ongoing is urgently needed to curb further spread.