Background: Late presentation to HIV/AIDS care presents serious health concerns, like increased transmission and high healthcare costs, increased mortality, early development of opportunistic infection, increased risk of antiretroviral therapy drug resistance. Despite the effort to contain the HIV/AIDS epidemic, LP has remained an impediment to individual immune reconstitution and public health. Objective: This review aimed to estimate the prevalence and determine the factors associated with late presentation to HIV/AIDS care. Methods: We searched PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), Chinese Wanfang, and Weipu database for articles published from 2010 to 2020. We utilized I² statistics and Q-test to estimate heterogeneity between studies. Random-effects meta-analysis models were used to calculate the aggregate odds ratio of late presentation to HIV/AIDS care. Results: Of 9563 titles and abstracts retrieved, 189 were identified as potentially eligible and 39 fulfilled the inclusion criteria. The pooled prevalence of late presentation to HIV/AIDS care was 43.26%. The major risk factors were patients ≥ 50 years old (OR = 2.19, 95% CI: 1.85–2.58; I² = 97.44%), married (OR = 1.50, 95% CI: 1.35–1.68; I² = 96.58%), with heterosexual contact as risk factor for infection (OR = 1.91, 95% CI: 1.73–2.11; I² = 90.74%) and diagnosed in medical institutions (OR = 2.35,95% CI: 2.11–2.62; I² = 96.05%). In middle or low HIV prevalence areas, patients ≥ 50 years old (P = 0.01), married (P < 0.01) and diagnosed in medical institutions (P = 0.01) were more likely to be presented late than in high prevalence areas. From 2016–2020, the OR of patients who were married and diagnosed in medical facilities were significantly lower than before (P < 0.01). Conclusion: Patients ≥ 50 years old, married, with heterosexual contact as risk factor for infection, and diagnosed in medical institutions were risk factors of LP. Gender had no significant relationship with LP. In middle or low prevalence areas, patients who were ≥ 50 years old, married, and diagnosed in medical institutions were more likely to be presented late than in other areas. Married patients and those diagnosed in medical institutions after 2015 have a lower risk of LP than before.

Introduction: The COVID‐19 pandemic is impacting HIV care globally, with gaps in HIV treatment expected to increase HIV transmission and HIV‐related mortality. We estimated how COVID‐19‐related disruptions could impact HIV transmission and mortality among men who have sex with men (MSM) in four cities in China, over a one‐ and five‐year time horizon.Methods: Regional data from China indicated that the number of MSM undergoing facility‐based HIV testing reduced by 59% during the COVID‐19 pandemic, alongside reductions in ART initiation (34%), numbers of all sexual partners (62%) and consistency of condom use (25%), but initial data indicated no change in viral suppression. A mathematical model of HIV transmission/treatment among MSM was used to estimate the impact of disruptions on HIV infections/HIV‐related deaths. Disruption scenarios were assessed for their individual and combined impact over one and five years for 3/4/6‐month disruption periods, starting from 1 January 2020.Results: Our model predicted new HIV infections and HIV‐related deaths would be increased most by disruptions to viral suppression, with 25% reductions (25% virally suppressed MSM stop taking ART) for a three‐month period increasing HIV infections by 5% to 14% over one year and deaths by 7% to 12%. Observed reductions in condom use increased HIV infections by 5% to 14% but had minimal impact (<1%) on deaths. Smaller impacts on infections and deaths (<3%) were seen for disruptions to facility HIV testing and ART initiation, but reduced partner numbers resulted in 11% to 23% fewer infections and 0.4% to 1.0% fewer deaths. Longer disruption periods (4/6 months) amplified the impact of disruption scenarios. When realistic disruptions were modelled simultaneously, an overall decrease in new HIV infections occurred over one year (3% to 17%), but not for five years (1% increase to 4% decrease), whereas deaths mostly increased over one year (1% to 2%) and five years (1.2 increase to 0.3 decrease).Conclusions: The overall impact of COVID‐19 on new HIV infections and HIV‐related deaths is dependent on the nature, scale and length of the various disruptions. Resources should be directed to ensuring levels of viral suppression and condom use are maintained to mitigate any adverse effects of COVID‐19‐related disruption on HIV transmission and control among MSM in China.

Introduction: The COVID-19 pandemic is impacting HIV care globally, with gaps in HIV treatment expected to increase HIV transmission and HIV-related mortality. We estimated how COVID-19-related disruptions could impact HIV transmission and mortality among men who have sex with men (MSM) in four cities in China. Methods: Regional data from China indicated that the number of MSM undergoing facility-based HIV testing reduced by 59% during the COVID-19 pandemic, alongside reductions in ART initiation (34%), numbers of sexual partners (62%) and consistency of condom use (25%). A deterministic mathematical model of HIV transmission and treatment among MSM in China was used to estimate the impact of these disruptions on the number of new HIV infections and HIV-related deaths. Disruption scenarios were assessed for their individual and combined impact over 1 and 5 years for a 3-, 4- or 6-month disruption period. Results: Our China model predicted that new HIV infections and HIV-related deaths would be increased most by disruptions to viral suppression, with 25% reductions for a 3-month period increasing HIV infections by 5-14% over 1 year and deaths by 7-12%. Observed reductions in condom use increased HIV infections by 5-14% but had minimal impact (<1%) on deaths. Smaller impacts on infections and deaths (<3%) were seen for disruptions to facility testing and ART initiation, but reduced partner numbers resulted in 11-23% fewer infections and 0.4-1.0% fewer deaths. Longer disruption periods of 4 and 6 months amplified the impact of combined disruption scenarios. When all realistic disruptions were modelled simultaneously, an overall decrease in new HIV infections was always predicted over one year (3-17%), but not over 5 years (1% increase-4% decrease), while deaths mostly increased over one year (1-2%) and 5 years (1.2 increase – 0.3 decrease). Conclusions: The overall impact of COVID-19 on new HIV infections and HIV-related deaths is dependent on the nature, scale and length of the various disruptions. Resources should be directed to ensuring levels of viral suppression and condom use are maintained to mitigate any adverse effects of COVID-19 related disruption on HIV transmission and control among MSM in China.