Despite the implementation of health education and free condom distribution for decades, the HIV/AIDS epidemic among older adults in China shows no sign of declining. This study aims to identify HIV transmission patterns and pathways in a rural county area and provide insight for developing effective HIV prevention strategies among older adults. Epidemiological field surveys combined with phylogenetic analysis were used to identify potential HIV transmission linkage in one rural county with a rapidly increasing HIV epidemic among older adults. A total of 160 HIV-positive individuals and their HIV-positive sexual partners diagnosed between 2015 and 2018 were recruited. Among them, 69.4% ( n = 111) were diagnosed at age 50 or older, 68.1% ( n = 109) were men, and 55.0% ( n = 88) were married. Ninety-six participants self-reported as having been infected with HIV through commercial heterosexual behavior and 24 were infected from their HIV-positive spouse. CRF08_BC (67.0%, n = 73) and CRF07_AE (19.3%, n = 21) were the prevalent HIV stains and formed 15 clusters at distance cutoff of 0.0025. Participants diagnosed with HIV at age ≥50, those who were divorced or bereft their spouse, or infected with HIV locally were more prevalent within the 15 molecular clusters. We identified specific venues as the primary hotspot and found that commercial heterosexual contact between older men and commercial sex workers contributed to the local HIV epidemic. In rural areas with an increasing HIV epidemic, detecting HIV transmission clusters through epidemiological and phylogenetic analysis as well as designing localized HIV prevention strategies should be prioritized.

Human immunodeficiency virus (HIV) testing is confirmed as a preventive strategy for HIV control. However, the testing rate and risk behaviors of HIV-negative men who have sex with men (MSM) remain unclear. We aimed to examine factors associated with HIV testing and high-risk behaviors among HIV-negative MSM. From July 2016 to June 2017, participants were recruited by snowball sampling from WeChat groups, bars, and other venues. HIV testing was performed to exclude HIV-positive MSM. Face-to-face questionnaires regarding HIV testing and high-risk behaviors were conducted; 988 MSM were included, and 57.1% of participants underwent HIV testing in the past year. The proportion of high-risk behaviors was 49.9%. Factors associated with HIV testing were bisexual orientation, substance use to adjust psychiatric disorders, and receiving acquired immune deficiency syndrome (AIDS) interventions. Being married, bisexual orientation, and receiving AIDS interventions were risk factors for high-risk sexual behaviors, while college or higher degree was a protective factor. We determined that HIV transmission factors are widespread, and the rate of HIV testing is relatively low. Attention should be given to marital status, using substances to adjust psychiatric disorders, or bisexual HIV-negative MSM, and AIDS interventions should be strengthened to promote HIV testing and reduce high-risk behaviors.

Previous studies have shown that the increased coverage of antiretroviral therapy (ART) could reduce the community viral load (CVL) and reduce the occurrence of new HIV infections. However, the impact on the reduction of HIV transmission among men who have sex with men (MSM) is much less certain. The frequency of HIV infections in MSM have been rapidly increasing in recent years in Hangzhou, China. The “Treatment as Prevention” strategy was implemented at a population-level for HIV-infected MSM from January 2014 to June 2016 in Hangzhou; it aimed to increase the ART coverage, reduce the CVL, and reduce HIV transmission. We investigated a subset of MSM diagnosed with HIV pre- and post-implementation of the strategy, using random sampling methods. Viral load (VL) testing was performed for all enrolled individuals; the lower limits of detection were 20 and 50 copies/mL. The data on infections were collected from the national epidemiology database of Hangzhou. Logistic regression analyses were conducted to identify factors associated with the differences in social demographic characteristics and available VL data. The ART coverage increased from 60.7% (839/1383) during the pre-implementation period to 92.3% (2183/2365) during the post-implementation period in Hangzhou. A total of 940 HIV-infected MSM were selected for inclusion in this study: 490 (52.1%) and 450 (47.9%) MSM in the pre- and post-implementation periods, respectively. In total, 89.5% (841/940) of patients had data available on VL rates. The mean CVL was 579 copies/mL pre-implementation and this decreased to 33 copies/mL post-implementation (Kruskal-Wallis < 0.001). The mean CVL decreased for all variables investigated post-implementation of the treatment strategy (P < 0.05). The undetectable VL (≤400 copies/mL) rate pre-implementation period was 50.0% which increased to 84.7% post-implementation (P < 0.001). The mean CVL at the county level significantly decreased in each county post-implementation (Kruskal-Wallis < 0.05). Our study confirmed a population-level association between increased ART coverage and decreased mean CVL; overall 84.7% of HIV infected MSM had an undetectable VL and were no longer infectious.

The objective of this study was to determine the rate of acquired immune deficiency syndrome (AIDS) in Zhejiang province and to identify specific factors associated with progression of this disease. This study utilized a retrospective cohort to identify the specific factors involved in the progression of human immunodeficiency virus (HIV) to AIDS. We collected data of patients existing in care between 2008 and 2012 from the national surveillance system databases. We performed our analyses using a multivariate Cox proportional hazards model. This study included 9216 HIV-positive patients (75.6 % male), which yielded 12,452 person-years (py) of follow-up-data. The AIDS progression rates were 33.9 % (2008), 33.6 % (2009), 38.1 % (2010), 30.6 % (2011) and 25.9 % (2012). We observed a significant reduction in the rate of progression Of HIV to AIDS post-2010 (Pearson χ2 = 4341.9, P < 0.001). The cumulative AIDS progression incidence rates were 33.4, 35.4, 36.4, 37.0 and 37.04 per 100 py in 1 each of the 5 years of follow-up. This study found that age was an independent risk factor for the progression of HIV to AIDS. Compared with patients infected with HIV by homosexual transmission, patients infected with HIV by heterosexuals transmission or blood transfusion had a reduced hazard ratio (HR) for progression to AIDS (heterosexual transmission: HR = 0.695, 0.524, P = 0.007; blood transfusion: HR = 0.524, P = 0.015). Diagnosed with HIV from 2011 to 2012 and having a higher CD4+ cell count (350–500 cells/mm3; or >500 cells/mm3) at baseline were independently associated with lower rates of HIV progression to AIDS [HR = 0.382, 0.380, 0.187, P < 0.001]. Patients with a CD+ T-cell count of 200–350 cells/mm3 or greater than 350 cells/mm3 were less likely to develop AIDS following HIV diagnosis than were those patients without HAART treatment. This study found a high progression rate from HIV to AIDS in HIV patients residing within Zhejiang province from 2008 to 2010. This rate decreased after 2010, which coincided with the new criteria for HAART treatment, which likely contributed to the observed reduction in the rate of progression. Initiation of HAART with higher CD4+ T-cell count may reduce rate of AIDS progression. Based on our results, we conclude that efficient strategies for HIV screening, as well as early diagnosis and treatment are necessary to reduce the progression of HIV to AIDS.

This study investigated characteristics and factors associated with initial antiretroviral medicine use among newly treated HIV/AIDS patients in Zhejiang Province, China, from 2019 to 2023. Data from the National Free Antiretroviral Therapy (ART) Database, covering the period from 2019 to 2023, were analyzed. ART regimens were classified as nationally free or medicare/self-paid. A multivariable logistic regression analysis was employed to identify factors influencing the initial ART regimen choice among those newly treated HIV/AIDS patients. In total, 17,018 individuals with HIV who initiated ART were included in the analysis. The use of medicare/self-paid medicines increased from 2.8 % to 39.8 %. Individuals with HIV transmission through homosexual contact (aOR = 1.30, 95 % CI: 1.16–1.45), those who received a diagnosis through medical institutions (aOR = 1.59, 95 % CI: 1.41–1.80), those with World Health Organization clinical stage IV disease (aOR = 1.93, 95 % CI: 1.62–2.29), and patients with the baseline CD4 cell count <50 cells/μL were more likely to opt for medicare/self-paid medications. The proportion of medicare/self-paid medicine use among newly treated HIV/AIDS patients exhibited an increasing trend. Several factors, including the education level, transmission route, diagnosis approach, and WHO clinical stage, among others, were associated with the medication choice. Taken together, our results provide crucial evidence to aid policymakers in developing procurement plans and allocating medicines appropriately to better address the diverse needs of HIV/AIDS patients.

Background: People who use drugs (PWUD) are among those with the highest risk for hepatitis C virus (HCV) infection. Highly effective direct-acting antiviral agents offer an opportunity to eliminate HCV. A simple tool for the prediction of HCV infection risk in PWUD is urgently needed. This study aimed to develop and validate a risk prediction tool to identify people at greater risk of having hepatitis C among PWUD that is applicable in resource-limited settings. Methods: We extracted data from national HIV/AIDS sentinel surveillance in PWUD (Zhejiang Province, 2016–2021) and developed and validated a risk score to improve HCV testing in PWUD. This risk score consists of seven risk factors identified using multivariable logistic regression modeling (2016–2020, exploratory group). We validated this score using surveillance data for 2021 (validation group). The accuracy of the model was determined using C-statistics. Results: We identified seven risk factors, including sex, age, marital status, educational attainment, and the use of heroin, morphine, and methamphetamine. In the exploratory group, the positive rates of detecting the HCV antibody in the low-risk (0–9 points), intermediate-risk (10–16 points), and high-risk (≥17 points) groups were 6.72%, 17.24%, and 38.02%, respectively (P_trend < 0.001). In the validation group, the positive rates in the low-, medium-, and high-risk groups were 4.46%, 12.23%, and 38.99%, respectively (P_trend < 0.001). Conclusions: We developed and validated a drug-specific risk prediction tool for identifying PWUD at increased risk of HCV infection. This tool can complement and integrate the screening strategy for the purpose of early diagnosis and treatment.