Men who have sex with men is the high‐risk drug resistance population: A meta‐analysis of
            <scp>HIV</scp>
            ‐1 drug resistance profiles and trends in China

Yuan, Defu; Liu, Yangyang; Zhou, Ying; Shi, Lingen; Chen, Jianshuang; Lu, Jing; Fu, Gengfeng; Wang, Bei

doi:10.1111/jcpt.13772

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…The heterogeneity among studies was tested by the I 2 test and Q statistical test. On account of the high heterogeneity of collected studies in our research (I 2 > 75%, p < 0.1), [10][11][12][13][14] DerSimonian-Laird random-effects model was used to calculate the pooled odds ratios. Meta-regression analysis based on multiple factors (publication year, province, sex ratio, and sample size) was performed to find the source of heterogeneity.…”

Section: Discussionmentioning

confidence: 99%

The prevalence of Human Immunodeficiency Virus infection among voluntary blood donors in mainland China: A systematic review and meta‐analysis

Li,

Zhang,

Huang

et al. 2024

Journal of Medical Virology

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Human immunodeficiency virus (HIV) infection through transfusion has been an imperative challenge for blood safety. Despite the implementation of screening strategies, there was still the residual risk of transfusion‐transmitted HIV. Considering that the prevalence of HIV infection in blood donors is significant for evaluating blood safety and potential risks to the population, meta‐analysis was applied to investigate the HIV prevalence among voluntary blood donors during the past 27 years to characterize the epidemiology and related risk factors of HIV in blood donors. The literature concerning the HIV screening reactive rate and prevalence in Chinese voluntary blood donors was collected through the systematic searching of four electronic databases. After integrating data, following the Preferred Reporting of Items for Systematic Reviews and Meta‐Analyses guidelines, data manipulation and statistical analyses were conducted by Stata 12.0. The results indicated that overall HIV prevalence was 0.0178% (95% confidence interval [CI], 0.0169%−0.0187%) with a remarkable rise, which varied from 2000 (0.0034%) to 2015 (0.027%). The HIV window period infection rate was 0.0475‱ (95% CI, 0.0304‱−0.0646‱). Importantly, subgroup analysis revealed the heterogeneity in gender, occupations, education and donation frequency. With the effective control of HIV transmission through blood, HIV prevalence declined in China to some extent in recent years, and the characteristics of HIV epidemic in some provinces have drastically changed. However, remaining relatively high HIV prevalence and overall increased trend of HIV prevalence since the 21th century demonstrates the potential residual risk of blood transfusion, and the whole society is supposed to pay close attention to HIV infection.

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Section: Discussionmentioning

confidence: 99%

The prevalence of Human Immunodeficiency Virus infection among voluntary blood donors in mainland China: A systematic review and meta‐analysis

Li,

Zhang,

Huang

et al. 2024

Journal of Medical Virology

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“…HIV drug resistance can be divided into primary and acquired drug resistance (ADR). Primary resistance can be further subdivided into pretreatment drug resistance (PDR) and transmitted drug resistance (TDR) [ 5 ]. TDR has been previously studied in treatment-naive populations with no history of exposure.…”

Section: Introductionmentioning

confidence: 99%

“…The prevalence of PDR and ADR in China varies significantly depending on factors such as study design, geographic location, and economic and social backgrounds [ 5 , 10 ]. In China, the overall level of PDR was reported to be 5.56% [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…However, certain areas showed slightly higher prevalence rates, such as Liangshan Prefecture in Sichuan Province (12.2%) [ 12 ], Pu’er in Yunnan Province (10.8%) [ 13 ], Guangxi Province (8.3%) [ 14 ], and Hunan Province (10.0%) [ 15 ]. Major cities like Shanghai (17.4%) [ 16 ], Xi’an (18.3%) [ 17 ], and Chongqing (10.54%) [ 18 ] had higher prevalence rates of PDR due to the complexity and diversity of genotypes, with an increasing trend overall [ 5 ]. In terms of ADR, the overall level in China was reported to be 51.33% [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

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Retrospective Study on Genetic Diversity and Drug Resistance among People Living with HIV at an AIDS Clinic in Beijing

Shi,

Huang,

Wang

et al. 2024

Pharmaceuticals

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(1) Background: The objective of this study was to investigate the prevalence of genetic diversity and drug resistance mutations among people living with HIV (PLWH) attending clinics in Beijing. (2) Methods: A retrospective analysis was conducted on PLWH admitted to the Fifth Medical Center of People’s Liberation Army (PLA) General Hospital between 1 March 2013 and 31 July 2020. The participants were analyzed for pretreatment drug resistance (PDR) and acquired drug resistance (ADR). Nested polymerase chain reaction (PCR) was utilized to amplify the pol gene from plasma RNA samples obtained from the participants. Genotypic and HIV drug resistance were determined using the Stanford University HIV Drug Resistance Database. Univariate and multifactorial logistic analyses were used to assess the risk factors for PDR. (3) Results: The overall prevalence rates of PDR and ADR were 12.9% and 27.8%, respectively. Individuals treated with non-nucleoside reverse transcriptase inhibitors (NNRTIs) exhibited the highest prevalence of mutations. Specific mutation sites, such as V179D for NNRTIs and M184V and K65R for nucleoside reverse transcriptase inhibitors (NRTIs), were identified as prevalent mutations. Individuals treated with efavirenz (EFV) and nevirapine (NVP) were found to be susceptible to developing resistance. The multifactorial regression analyses indicated that the factors of circulating recombination form (CRF) genotype CRF07-BC and a high viral load were associated with an increased risk of PDR. CRF01-AE and CRF07-BC were the most prevalent HIV genotypes in our study. (4) Conclusions: The distribution of HIV genotypes in Beijing is complex. There is a need for baseline screening for HIV drug resistance among ART-naive individuals, as well as timely testing for drug resistance among ART-experienced individuals.

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Dual Infection of Different Clusters of HIV in People Living with HIV Worldwide: A Meta-Analysis Based on Next-Generation Sequencing Studies

Yuan,

Zhao,

Liu

et al. 2024

AIDS Patient Care and STDs

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Men who have sex with men is the high‐risk drug resistance population: A meta‐analysis of HIV ‐1 drug resistance profiles and trends in China

Cited by 4 publications

References 24 publications

The prevalence of Human Immunodeficiency Virus infection among voluntary blood donors in mainland China: A systematic review and meta‐analysis

The prevalence of Human Immunodeficiency Virus infection among voluntary blood donors in mainland China: A systematic review and meta‐analysis

Retrospective Study on Genetic Diversity and Drug Resistance among People Living with HIV at an AIDS Clinic in Beijing

Dual Infection of Different Clusters of HIV in People Living with HIV Worldwide: A Meta-Analysis Based on Next-Generation Sequencing Studies

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