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Pei J, Wu Z, Si B, Ma C, Liu Y, Ma X, Kuai W, Zhang Y, Li Y. HIV-1 drug resistance and genetic transmission networks among patients with sexually transmitted HIV in Ningxia, China. Front Public Health 2025; 12:1485516. [PMID: 39882126 PMCID: PMC11775904 DOI: 10.3389/fpubh.2024.1485516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Accepted: 12/16/2024] [Indexed: 01/31/2025] Open
Abstract
Background Over the past decade, sexual transmission has become a dominant source of new HIV-1 infection in China. However, very few studies have been conducted to characterize the two sexual transmissions, homosexual and heterosexual transmission. This study was conducted to better understand the relationship between genotypes, drug resistance, and molecular transmission networks in two groups of sexually transmitted HIV-1 in Ningxia, China. Methods Plasma samples were collected from sexually transmitted HIV/AIDS patients in Ningxia between 2020 and 2021 for RNA extraction followed by HIV-1 genome sequencing, genotype and drug resistance analyses. The TN93 model in HyPhy2.2.4 with 1.25% as the threshold, was used to calculate the gene distance, and Cytoscape3.7.0 was used to generate a visual molecular transmission network. Results A total of 269 samples were successfully sequenced, and 10 HIV-1 subtypes were detected. The two most common subtypes were CRF07_BC and CRF01_AE. All 10 subtypes were detected in heterosexually transmitted patients, and 7 subtypes were found in homosexually transmitted patients who were exclusively men sex with men (MSM). The drug resistance rates of heterosexual individuals and MSMs were 45.34 and 33.33%, respectively. Sequences from 120 patients entered the molecular transmission network, forming 35 clusters. The clustering rate for MSM (52.78%) was higher than that of heterosexual individuals (39.13%). Some MSM and HSTs were involved in the same cluster and might act as bridges for transmission between the two populations. Conclusion Our data showed that heterosexually transmitted HIV-1 was more likely to be a drug-resistant virus, whereas MSM was more likely to contract viruses through network connection. It is strongly recommended that resistance testing be conducted before ART to improve effective treatment and reduce the spread of resistant viruses. Molecular networks can help to identify transmission clusters and provide more precise interventions.
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Affiliation(s)
- Jianxin Pei
- Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China
| | - Zhonglan Wu
- Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China
- College of Life Sciences, University of Ningxia, Yinchuan, Yinchuan, Ningxia, China
| | - Bingqian Si
- College of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Chunhua Ma
- College of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Yichang Liu
- College of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Xiaofa Ma
- College of Public Health, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Wenhe Kuai
- Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China
| | - Yinhao Zhang
- Ningxia Center for Disease Control and Prevention, Yinchuan, Ningxia, China
| | - Yong Li
- College of Life Sciences, University of Ningxia, Yinchuan, Yinchuan, Ningxia, China
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Ye J, Lan Y, Wang J, Feng Y, Lin Y, Zhou Y, Liu J, Yuan D, Lu X, Guo W, Zheng M, Song X, Zhou Q, Yang H, Zheng C, Guo Q, Yang X, Yang K, Zhang L, Ge Z, Liu L, Yu F, Han Y, Huang H, Hao M, Chen Q, Ling X, Ruan Y, Dong Y, Zhou C, Liu X, Bai J, Tong X, Gao Y, Yang Z, Wang A, Wei W, Mei F, Qiao R, Luo X, Huang X, Chen J, Hu F, Shen X, Tan W, Tu A, Zhang X, He S, Ning Z, Fan J, Liu C, Xu C, Ren X, Sun Y, Li Y, Liu G, Li X, Li J, Duan J, Huang T, Liu S, Yu G, Wu D, Shao Y, Pan Q, Zhang L, Su B, Wu J, Jiang T, Zhao H, Zhang T, Chen F, Cai K, Hu B, Wang H, Zhao J, Gao B, Sun W, Ning T, Li J, Liang S, Huo Y, Fu G, Chen X, Li F, Xing H, Lu H. Improvement in the 95-95-95 Targets Is Accompanied by a Reduction in Both the Human Immunodeficiency Virus Transmission Rate and Incidence in China. J Infect Dis 2024; 230:1202-1214. [PMID: 39186695 DOI: 10.1093/infdis/jiae302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 06/04/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND In 2016, China has implemented the World Health Organization's "treat all" policy. We aimed to assess the impact of significant improvements in the 95-95-95 targets on population-level human immunodeficiency virus (HIV) transmission dynamics and incidence. METHODS We focused on 3 steps of the HIV care continuum: diagnosed, on antiretroviral therapy, and achieving viral suppression. The molecular transmission clusters were inferred using HIV-TRACE. New HIV infections were estimated using the incidence method in the European Centre for Disease Prevention and Control HIV Modelling Tool. RESULTS Between 2004 and 2023, the national HIV epidemiology database recorded 2.99 billion person-times of HIV tests and identified 1 976 878 new diagnoses. We noted a roughly "inverted-V" curve in the clustering frequency, with the peak recorded in 2014 (67.1% [95% confidence interval, 63.7%-70.5%]), concurrent with a significant improvement in the 95-95-95 targets from 10-13-<71 in 2005 to 84-93-97 in 2022. Furthermore, we observed a parabolic curve for a new infection with the vertex occurring in 2010. CONCLUSIONS In general, it was suggested that the improvements in the 95-95-95 targets were accompanied by a reduction in both the population-level HIV transmission rate and incidence. Thus, China should allocate more effort to the first "95" target to achieve a balanced 95-95-95 target.
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Affiliation(s)
- Jingrong Ye
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yun Lan
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Juan Wang
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yi Feng
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Yi Lin
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Ying Zhou
- Institute of AIDS/STD Control and Prevention, Jiangsu CDC, Nanjing
| | - Jinjin Liu
- Center for Translational Medicine, Affiliated Infectious Diseases Hospital of Zhengzhou University (Henan Infectious Diseases Hospital, The Sixth People's Hospital of Zhengzhou), Zhengzhou
| | - Dan Yuan
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Xinli Lu
- Department of AIDS Research, Hebei Key Laboratory of Pathogen and Epidemiology of Infectious Disease, Hebei CDC, Shijiazhuang
| | - Weigui Guo
- Institute of HIV/AIDS Prevention and Control, Beihai CDC, Beihai
| | - Minna Zheng
- Department of STDs/AIDS Control and Prevention, Tianjin CDC, Tianjin
| | - Xiao Song
- Institute for HIV/AIDS and STD Prevention and Control, Heilongjiang CDC, Harbin
| | - Quanhua Zhou
- Institute of Microbiology, Chongqing CDC, Chongqing
| | - Hong Yang
- STD/AIDS Prevention and Control Institute, Inner Mongolia CDC (Inner Mongolia Academy of Preventive Medicine), Hohhot
| | - Chenli Zheng
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Qi Guo
- Virology Laboratory, Jilin CDC, Changchun
| | - Xiaohui Yang
- Institute for HIV/AIDS and STD Prevention and Control, Fuyang CDC, Fuyang
| | | | - Lincai Zhang
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | - Zhangwen Ge
- Guizhou Provincial People's Hospital, Affiliated Hospital of Guizhou University, Guiyang
| | - Lifeng Liu
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Fengting Yu
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
| | - Yang Han
- Department of Infectious Disease, Peking Union Medical College Hospital, Beijing
| | - Huihuang Huang
- Treatment and Research Center for Infectious Diseases, The Fifth Medical Center of People's Liberation Army General Hospital, Beijing
| | - Mingqiang Hao
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Qiang Chen
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Xuemei Ling
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Yuhua Ruan
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Yuan Dong
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Chang Zhou
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Xuangu Liu
- Institute of HIV/AIDS Prevention and Control, Beihai CDC, Beihai
| | - Jianyun Bai
- Department of STDs/AIDS Control and Prevention, Tianjin CDC, Tianjin
| | - Xue Tong
- Institute for HIV/AIDS and STD Prevention and Control, Heilongjiang CDC, Harbin
| | - Ya Gao
- STD/AIDS Prevention and Control Institute, Inner Mongolia CDC (Inner Mongolia Academy of Preventive Medicine), Hohhot
| | - Zhengrong Yang
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Ao Wang
- Virology Laboratory, Jilin CDC, Changchun
| | - Wei Wei
- Institute for HIV/AIDS and STD Prevention and Control, Fuyang CDC, Fuyang
| | | | - Ruijuan Qiao
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | - Xinhua Luo
- Guizhou Provincial People's Hospital, Affiliated Hospital of Guizhou University, Guiyang
| | - Xiaojie Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Jing Chen
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Fengyu Hu
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Xin Shen
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Wei Tan
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Aixia Tu
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | - Xinhui Zhang
- Institute for Infectious Disease Prevention and Control, Guizhou CDC, Guiyang
| | - Shufang He
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Zhen Ning
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | | | | | - Conghui Xu
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Xianlong Ren
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yanming Sun
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Yang Li
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Guowu Liu
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Xiyao Li
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Jie Li
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
| | - Junyi Duan
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Tao Huang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Shuiqing Liu
- Department of Infectious Diseases, Guiyang Public Health Clinical Center, Guiyang
| | - Guolong Yu
- Institute of Pathogenic Microbiology, Guangdong CDC, Guangzhou
| | - Donglin Wu
- Virology Laboratory, Jilin CDC, Changchun
| | - Yiming Shao
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Qichao Pan
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Linglin Zhang
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Bin Su
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Jianjun Wu
- Institute for HIV/AIDS and STD Prevention and Control, Anhui CDC, Hefei
| | - Tianjun Jiang
- Treatment and Research Center for Infectious Diseases, The Fifth Medical Center of People's Liberation Army General Hospital, Beijing
| | - Hongxin Zhao
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
| | - Tong Zhang
- Clinical and Research Center for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing
| | - Faqing Chen
- Institute for HIV/AIDS and STD Prevention and Control, Gansu CDC, Lanzhou
| | | | - Bing Hu
- Institute for HIV/AIDS and STD Prevention and Control, Fuyang CDC, Fuyang
| | - Hui Wang
- Virology Laboratory, Jilin CDC, Changchun
| | - Jin Zhao
- Department of HIV/AIDS Control and Prevention, Shenzhen CDC, Shenzhen
| | - Baicheng Gao
- STD/AIDS Prevention and Control Institute, Inner Mongolia CDC (Inner Mongolia Academy of Preventive Medicine), Hohhot
| | - Wei Sun
- Institute for HIV/AIDS and STD Prevention and Control, Heilongjiang CDC, Harbin
| | - Tielin Ning
- Department of STDs/AIDS Control and Prevention, Tianjin CDC, Tianjin
| | - Jianjun Li
- Institute of HIV/AIDS Prevention and Control, Guangxi CDC, Nanning
| | - Shu Liang
- Center for AIDS/STD Control and Prevention, Sichuan CDC, Chengdu
| | - Yuqi Huo
- Center for Translational Medicine, Affiliated Infectious Diseases Hospital of Zhengzhou University (Henan Infectious Diseases Hospital, The Sixth People's Hospital of Zhengzhou), Zhengzhou
| | - Gengfeng Fu
- Institute of AIDS/STD Control and Prevention, Jiangsu CDC, Nanjing
| | - Xin Chen
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai CDC
- Shanghai Institutes of Preventive Medicine
- Shanghai Center for AIDS Research, Shanghai
| | - Feng Li
- Institute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou
| | - Hui Xing
- Division of Virology and Immunology, State Key Laboratory for Infectious Disease Prevention and Control and National Center for AIDS/STD Prevention and Control, China CDC, Beijing
| | - Hongyan Lu
- Institute for HIV/AIDS and STD Prevention and Control, Beijing Center for Disease Control and Prevention (CDC), Beijing Academy of Preventive Medicine, Beijing
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3
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Lu Q, Xiao S, Yi K, Dai Y, Wang J, Xu F, Yue Q, Ning Z, Shi W, Chen X, Shen X. Changes in epidemiological and treatment-related characteristics among newly reported HIV/AIDS cases in an urban area in Shanghai, China from 2001 to 2019: A population-based retrospective study. Glob Health Med 2024; 6:324-332. [PMID: 39483453 PMCID: PMC11514632 DOI: 10.35772/ghm.2024.01044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 08/29/2024] [Accepted: 09/09/2024] [Indexed: 11/03/2024]
Abstract
The HIV/AIDS epidemic has changed significantly over the past 40 years. Changes in AIDS intervention strategies over time and across regions may have influenced epidemiological characteristics and intervention strategies. The aim of the current study was to analyze the changes in multi-year epidemiological characteristics of newly reported HIV/AIDS cases in an urban area (the Fengxian District of Shanghai) from 2001 to 2019 based on the national AIDS comprehensive data information system and Shanghai Statistical Yearbook. In total, the average annual incidence of HIV/AIDS was 1.92 per 100,000 persons. The annual incidence fluctuated and tended to increase from 2001 to 2019 (χ2 = 128.38, p < 0.001). More male patients were reported compared to female patients, accounting for 82.9%. The proportion of patients over 65 years of age increased from 5% in 2009 to 12% in 2019. The majority of cases involved sexual contact (97.7%), early diagnosis (58.8%), full virologic suppression (72.9%), and early antiretroviral therapy (ART) (44.3%). Migrant patients have significantly increased over the years. There were significant differences between local and migrant patients in terms of the age at diagnosis, transmission route, and baseline CD4 count. The disparity in high-risk temporal clusters was also explored to indicate the delay of an epidemic between local patients and migrant patients. HIV remains at a low endemic level. AIDS prevention and control measures have been highly effective, and especially in virologic suppression of ART and early diagnosis. More efforts should be made to enhance early diagnosis and treatment among key vulnerable groups, including the elderly in the local population and young male migrants, and the scale of HIV/AIDS testing should be expanded to the general population to control HIV transmission.
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Affiliation(s)
- Qun Lu
- Department of Sexually Transmitted Diseases, Leprosy, HIV/AIDS and Tuberculosis Prevention, Fengxian District Center for Disease Control and Prevention, Shanghai, China
| | - Shuang Xiao
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease and Prevention, Shanghai, China
| | - Kehua Yi
- Department of Sexually Transmitted Diseases, Leprosy, HIV/AIDS and Tuberculosis Prevention, Fengxian District Center for Disease Control and Prevention, Shanghai, China
| | - Yunbin Dai
- Department of Sexually Transmitted Diseases, Leprosy, HIV/AIDS and Tuberculosis Prevention, Fengxian District Center for Disease Control and Prevention, Shanghai, China
| | - Jie Wang
- Shanghai Public Health Clinical Center, Shanghai, China
| | - Fang Xu
- Department of Sexually Transmitted Diseases, Leprosy, HIV/AIDS and Tuberculosis Prevention, Fengxian District Center for Disease Control and Prevention, Shanghai, China
| | - Qing Yue
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease and Prevention, Shanghai, China
| | - Zhen Ning
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease and Prevention, Shanghai, China
| | - Weixing Shi
- Fengxian District Center for Disease Control and Prevention, Shanghai, China
| | - Xin Chen
- Shanghai Municipal Center for Disease and Prevention, Shanghai, China
| | - Xin Shen
- Division of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease and Prevention, Shanghai, China
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4
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Ai W, Shi L, Tan RKJ, Wu D, Ong JJ, Qiu T, Marley G, Tucker JD, Chen Y, Yuan D, Fan C, Fu G, Tang W. HIV Services Uptake Among People Living with HIV in Jiangsu Province, China: A Cross-Sectional Study. AIDS Behav 2024:10.1007/s10461-024-04291-5. [PMID: 38493282 DOI: 10.1007/s10461-024-04291-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/05/2024] [Indexed: 03/18/2024]
Abstract
Healthcare disparities are common among people living with HIV (PLWH) in China and likely impact access to HIV services. This study aimed to assess the current status of access to HIV services among PLWH and explore the correlates of service uptake using baseline data from a prospective cohort study among PLWH in Jiangsu Province. Guided by Andersen's behavioral model, univariable and multivariable logistic regressions were conducted to identify factors associated with access to HIV services. Out of 8989 eligible PLWH included in this study, 46.4% perceived difficulty in seeing a healthcare professional for HIV treatment services in 2021-2022. PLWH aged 18-34 years (adjusted odds ratio [AOR] = 1.69, 95% CI 1.32-2.15), 35-39 years (AOR = 1.33, 95% CI 1.08-1.65), identified as a bisexual/other (AOR = 1.14, 95% CI 1.01-1.29), had a college and above education (AOR = 1.32, 95% CI 1.07-1.63), and perceived moderate (AOR = 1.70, 95% CI 1.51-1.91) and severe (AOR = 2.20, 95% CI 1.94-2.49) levels of HIV stigma were more likely to perceive difficulty in seeing healthcare professionals for HIV treatment in 2021-2022. Living in northern Jiangsu was also associated with increased odds of perceiving difficulty in seeing healthcare professionals for HIV treatment (AOR = 1.12, 95% CI 1.00-1.26). These findings underscore the need for innovative solutions to eliminate the practical barriers to HIV services utilization among PLWH who are bisexual, well-educated, and effective HIV-related stigma reduction interventions.
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Affiliation(s)
- Wei Ai
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lingen Shi
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Rayner K J Tan
- University of North Carolina Project-China, Guangzhou, China
| | - Dan Wu
- School of Public Health, Nanjing Medical University, Nanjing, China
- University of North Carolina Project-China, Guangzhou, China
| | - Jason J Ong
- Melbourne Sexual Health Centre, Alfred Health, Melbourne, Australia
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Tao Qiu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Gifty Marley
- University of North Carolina Project-China, Guangzhou, China
| | - Joseph D Tucker
- University of North Carolina Project-China, Guangzhou, China
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK
| | - Yuheng Chen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Defu Yuan
- Department of Epidemiology and Health Statistics, Key Laboratory of Environmental Medicine Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Chengxin Fan
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Gengfeng Fu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
| | - Weiming Tang
- School of Public Health, Nanjing Medical University, Nanjing, China.
- University of North Carolina Project-China, Guangzhou, China.
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Ai W, Fan C, Marley G, Tan RKJ, Wu D, Ong JJ, Tucker JD, Fu G, Tang W. Disparities in healthcare access and utilization among people living with HIV in China: A scoping review and meta-analysis. HIV Med 2023; 24:1093-1105. [PMID: 37407253 PMCID: PMC10766863 DOI: 10.1111/hiv.13523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/15/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND This review aims to assess the status of healthcare disparities among people living with HIV (PLWH) in China and summarize the factors that drive them. METHODS We searched PubMed, Web of Science, Cochrane Library, Scopus, China National Knowledge Infrastructure (CNKI) and China Wanfang for studies published in English or Chinese. Studies focusing on any disparities in healthcare services among PLWH in China and published between January 2000 and July 2022 were included. RESULTS In all, 51 articles met the inclusion criteria, with 37 studies reporting HIV-focused care, and 14 reporting non-HIV-focused care. PLWH aged ≥45 years (vs. <45 years), female (vs. male), ethnic minority (vs. Han), and cases attributed to sexual transmission (vs. injecting drug use) were more likely to receive ART. Females living with HIV have higher ART adherence than males. Notably, 20% [95% confidence interval (CI): 9-43%, I2 = 96%] of PLWH reported any illness in the previous 2 weeks without medical consultation, and 30% (95% CI: 12-74%, I2 = 90%) refused hospitalization when needed in the previous year. Barriers to HIV-focused care included inadequate HIV/ART knowledge and treatment side effects at the individual level; and social discrimination and physician-patient relationships at the community/social level. Structural barriers included medical costs and transportation issues. The most frequently reported barriers to non-HIV-focused care were financial constraints and the perceived need for medical services at individual-level factors; and discrimination from physicians, and medical distrust at the community/social level. CONCLUSION This review suggests disparities in access and utilization of healthcare among PLWH. Financial issues and social discrimination were prominent reasons. Creating a supportive social environment and expanding insurance policies could be considered to promote healthcare equity.
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Affiliation(s)
- Wei Ai
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chengxin Fan
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Gifty Marley
- University of North Carolina Project-China, Guangzhou, China
| | - Rayner K J Tan
- University of North Carolina Project-China, Guangzhou, China
| | - Dan Wu
- University of North Carolina Project-China, Guangzhou, China
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Jason J. Ong
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joseph D. Tucker
- University of North Carolina Project-China, Guangzhou, China
- Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Gengfeng Fu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Weiming Tang
- School of Public Health, Nanjing Medical University, Nanjing, China
- University of North Carolina Project-China, Guangzhou, China
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Zhang SX, Wang JC, Li ZW, Zheng JX, Zhou WT, Yang GB, Yu YF, Wu XP, Lv S, Liu Q, Chen MX, Lu Y, Dou ZH, Zhang DW, Lv WW, Wang L, Lu ZH, Yang M, Zheng PY, Chen YL, Tian LG, Zhou XN. Impact factors of Blastocystis hominis infection in persons living with human immunodeficiency virus: a large-scale, multi-center observational study from China. Infect Dis Poverty 2023; 12:82. [PMID: 37697423 PMCID: PMC10494452 DOI: 10.1186/s40249-023-01137-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/02/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Blastocystis hominis (Bh) is zoonotic parasitic pathogen with a high prevalent globally, causing opportunistic infections and diarrhea disease. Human immunodeficiency virus (HIV) infection disrupts the immune system by depleting CD4+ T lymphocyte (CD4+ T) cell counts, thereby increasing Bh infection risk among persons living with HIV (PLWH). However, the precise association between Bh infection risk and HIV-related biological markers and treatment processes remains poorly understood. Hence, the purpose of the study was to explore the association between Bh infection risk and CD4+ T cell counts, HIV viral load (VL), and duration of interruption in antiviral therapy among PLWH. METHODS A large-scale multi-center cross-sectional study was conducted in China from June 2020 to December 2022. The genetic presence of Bh in fecal samples was detected by real-time fluorescence quantitative polymerase chain reaction, the CD4+ T cell counts in venous blood was measured using flowcytometry, and the HIV VL in serum was quantified using fluorescence-based instruments. Restricted cubic spline (RCS) was applied to assess the non-linear association between Bh infection risk and CD4+ T cell counts, HIV VL, and duration of interruption in highly active antiretroviral therapy (HARRT). RESULTS A total of 1245 PLWH were enrolled in the study, the average age of PLWH was 43 years [interquartile range (IQR): 33, 52], with 452 (36.3%) being female, 50.4% (n = 628) had no immunosuppression (CD4+ T cell counts > 500 cells/μl), and 78.1% (n = 972) achieved full virological suppression (HIV VL < 50 copies/ml). Approximately 10.5% (n = 131) of PLWH had interruption. The prevalence of Bh was found to be 4.9% [95% confidence interval (CI): 3.8-6.4%] among PLWH. Significant nonlinear associations were observed between the Bh infection risk and CD4+ T cell counts (Pfor nonlinearity < 0.001, L-shaped), HIV VL (Pfor nonlinearity < 0.001, inverted U-shaped), and duration of interruption in HARRT (Pfor nonlinearity < 0.001, inverted U-shaped). CONCLUSIONS The study revealed that VL was a better predictor of Bh infection than CD4+ T cell counts. It is crucial to consider the simultaneous surveillance of HIV VL and CD4+ T cell counts in PLWH in the regions with high level of socioeconomic development. The integrated approach can offer more comprehensive and accurate understanding in the aspects of Bh infection and other opportunistic infections, the efficacy of therapeutic drugs, and the assessment of preventive and control strategies.
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Affiliation(s)
- Shun-Xian Zhang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ji-Chun Wang
- Department of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Zhong-Wei Li
- Gansu Province People's Hospital, Gansu Provincial Hospital, Lanzhou, 730000, China
| | - Jin-Xin Zheng
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Wen-Ting Zhou
- National Health Commission (NHC) Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Guo-Bing Yang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, 730000, China
| | - Ying-Fang Yu
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiu-Ping Wu
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Shan Lv
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qin Liu
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Mu-Xin Chen
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yan Lu
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhi-Hui Dou
- National Center for AIDS/STD Control and Prevention, China Center for Disease Control and Prevention, Beijing, 102206, China
| | - Da-Wei Zhang
- The People's Liberation Army 302 Hospital, Beijing, 100039, China
| | - Wen-Wen Lv
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Lei Wang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Zhen-Hui Lu
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Ming Yang
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Pei-Yong Zheng
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Yue-Lai Chen
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Li-Guang Tian
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China.
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Xiao-Nong Zhou
- Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, National Institute of Parasitic Diseases, Shanghai, 200025, China.
- School of Global Health, Chinese Center for Tropical Diseases Research-Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Han J, Zhang H, Su Y, Zhang F. Effectiveness of online HIV treatment services in the context of the COVID-19 pandemic. HEALTH CARE SCIENCE 2023; 2:164-172. [PMID: 38939113 PMCID: PMC11080823 DOI: 10.1002/hcs2.54] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 04/07/2023] [Accepted: 05/04/2023] [Indexed: 06/29/2024]
Abstract
Background The COVID-19 pandemic has created challenges with respect to HIV care services. Remote online services might provide an effective method for health service delivery to people living with HIV (PLHIV). Few studies have focused on the efficacy of telemedical services for PLHIV and the effect of antiretroviral treatment via online services in China. Methods We developed a platform called the "No. 8 Health" for online antiretroviral drug collection and delivery services in Beijing from January 21 to June 30, 2022. We evaluated the online treatment service according to viral load suppression rates and compared differences in social characteristics between PLHIV who received antiretroviral drugs through online or offline treatment services. Results By June 2022, 9528 PLHIV had received outpatient treatment services, among which 44.6% (4031/9528) used the online treatment and drug delivery services for a total of 5590 person-times. The satisfaction rate was 100%. Rates of viral load suppression among PLHIV who initiated antiretroviral therapy (ART) in 2020 and 2021 were 96.4% and 93.1%, respectively. Results showed that the viral load suppression rate was 97.9%. Regarding HIV rapid self-testing, 4513 men who have sex with men used the online HIV rapid testing service. The number of users was approximately the same as in 2021, but both were slightly lower than those in 2020. Conclusion This study was the first to evaluate the effect of online drug collection and delivery services and virologic outcomes among PLHIV in China. The online service helped with maintenance of ART services, but the COVID-19 pandemic still had some impacts on viral load suppression.
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Affiliation(s)
- Jing Han
- WHO Collaborating Centre for Comprehensive Management of HIV Treatment and CareBeijing Ditan Hospital Capital Medical UniversityBeijingChina
| | - Hanxi Zhang
- WHO Collaborating Centre for Comprehensive Management of HIV Treatment and CareBeijing Ditan Hospital Capital Medical UniversityBeijingChina
| | - Ye Su
- WHO Collaborating Centre for Comprehensive Management of HIV Treatment and CareBeijing Ditan Hospital Capital Medical UniversityBeijingChina
| | - Fujie Zhang
- Center for HIV/AIDSBeijing Ditan Hospital Capital Medical UniversityBeijingChina
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8
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Ai W, Fan C, Marley G, Tan RKJ, Wu D, Ong J, Tucker JD, Fu G, Tang W. Disparities in healthcare access and utilization among people living with HIV in China: a scoping review and meta-analysis. RESEARCH SQUARE 2023:rs.3.rs-2744464. [PMID: 37066259 PMCID: PMC10104255 DOI: 10.21203/rs.3.rs-2744464/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Background Healthcare disparities hinder the goal of ending the HIV pandemic by 2030. This review aimed to understand the status of healthcare disparities among people living with HIV (PLWH) in China and summarize driving factors. Methods We searched six databases: PubMed, Web of Science, Cochrane Library, Scopus, China National Knowledge Infrastructure (CNKI), and China Wanfang. English or Chinese articles published between January 2000 and July 2022 were included if they focused on any disparities in access to and utilization of healthcare among PLWH in China. Grey literature, reviews, conferences, and commentaries were excluded. A random effects model was used to calculate the pooled estimates of data on healthcare access/utilization and identified the driving factors of healthcare disparities based on a socio-ecological framework. Results A total of 8728 articles were identified in the initial search. Fifty-one articles met the inclusion criteria. Of these studies, 37 studies reported HIV-focused care, and 14 focused on non-HIV-focused care. PLWH aged ≥ 45 years, female, ethnic minority, and infected with HIV through sexual transmission had a higher rate of receiving antiretroviral therapy (ART). Females living with HIV have higher adherence to ART than males. Notably, 20% (95% CI, 9-43%, I 2 = 96%) of PLWH with illness in two weeks did not seek treatment, and 30% (95% CI, 12-74%, I 2 = 90%) refused hospitalization when needed. Barriers to HIV-focused care included the lack of knowledge of HIV/ART and treatment side effects at the individual level, and social discrimination and physician-patient relationships at the community/social level. Structural barriers included out-of-pocket medical costs, and distance and transportation issues. The most frequently reported barriers to non-HIV-focused care were financial constraints and the perceived need for medical services at individual-level factors; and discrimination from healthcare providers, distrust of healthcare services at the community/social level. Conclusion This review suggests disparities in ART access, adherence, and utilization of non-HIV-focused care among PLWH. Financial issues and social discrimination were prominent reasons for healthcare disparities in PLWH care. Creating a supportive social environment and expanding insurance policies, like covering more medical services and increasing reimbursement rates could be considered to promote healthcare equity.
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Affiliation(s)
- Wei Ai
- Nanjing Medical University
| | | | | | | | - Dan Wu
- University of North Carolina Project-China
| | | | | | - Gengfeng Fu
- Jiangsu Provincial Centre for Disease Control and Prevention
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9
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Brombin C, Bagaglio S, Cugnata F, Castagna A, Uberti-Foppa C, Salpietro S, Di Serio C, Morsica G. Modelling the impact of protein-kinase R allelic variant on HIV biomarkers trajectories by means of latent class mixed models. Sci Rep 2022; 12:18575. [PMID: 36329104 PMCID: PMC9633692 DOI: 10.1038/s41598-022-23289-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 10/28/2022] [Indexed: 11/06/2022] Open
Abstract
This paper is based on a retrospective longitudinal study on people living with HIV under antiretroviral treatment (ART) where allelic variants (either heterozygous CT genotype or homozygous CC genotype) have been evaluated at position -168 of the promoter region of the protein kinase R (-168/PKR). In general, antiviral effects of interferon are partially mediated by a RNA-dependent protein kinase (PKR) that, once activated, inhibits protein synthesis. Indeed, activation of PKR response can inhibit HIV replication. To explore the role of allelic variants in shaping dynamics of commonly monitored HIV biomarkers, CD4 cells, CD8 cells and HIV-load were modelled within a latent class mixed model (LCMM) to account for participants' heterogeneity over time. The estimated models identified two sub-groups from CD4 and HIV-load dynamics, revealing better outcomes for subgroups of participants with the heterozygous CT genotype. Heterozygous CT subjects in one of the two identified subgroups exhibited higher increase of CD4 cells and more marked decrease of HIV-load, over time, with respect to the homozygous CC subjects assigned to the same group.
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Affiliation(s)
- Chiara Brombin
- University Centre for Statistics in the Biomedical Sciences (CUSSB), Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
| | - Sabrina Bagaglio
- Department of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Federica Cugnata
- University Centre for Statistics in the Biomedical Sciences (CUSSB), Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Antonella Castagna
- Vita-Salute San Raffaele University, Milan, Italy
- Department of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Caterina Uberti-Foppa
- Vita-Salute San Raffaele University, Milan, Italy
- Department of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Stefania Salpietro
- Department of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Clelia Di Serio
- University Centre for Statistics in the Biomedical Sciences (CUSSB), Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Biomedical Faculty, Università della Svizzera Italiana, 6900, Lugano, Switzerland
| | - Giulia Morsica
- Department of Infectious Diseases, IRCCS San Raffaele Scientific Institute, Milan, Italy
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10
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Zhou C, Zhang W, Lu R, Ouyang L, Xing H, Shao Y, Wu G, Ruan Y. Higher Risk of Mortality and Virologic Failure in HIV-Infected Patients With High Viral Load at Antiretroviral Therapy Initiation: An Observational Cohort Study in Chongqing, China. Front Public Health 2022; 10:800839. [PMID: 35186841 PMCID: PMC8851314 DOI: 10.3389/fpubh.2022.800839] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 01/05/2022] [Indexed: 12/15/2022] Open
Abstract
Background Viral load (VL) is a strong predictor of human immunodeficiency virus (HIV) disease progression. The aim of this study was to evaluate the effect of high baseline VL on antiretroviral therapy (ART) outcomes among HIV-infected patients. Methods This retrospective study observed HIV-infected patients who had baseline VL test at ART initiation between 2015 and 2019 in Chongqing, China. Cox proportional hazards regression and logistic regression models were used to evaluate the effects of baseline VL on Acquired immunodeficiency syndrome (AIDS)-related mortality and virologic failure, respectively. Results The cohort included 7,176 HIV-infected patients, of whom 38.7% had a baseline VL ≥ 100,000 copies/mL. Of the patients who died during follow-up, 58.9% had a baseline VL ≥ 100,000 copies/mL. Compared with a baseline VL < 10,000 copies/mL, ART initiation at VL ≥ 100,000 copies/mL was significantly associated with the AIDS-related death (adjusted hazard ratio, AHR = 1.4) and virologic failure (adjusted odds ratio, AOR = 2.4). Compared with patients with a baseline VL < 10,000 copies/mL, patients on the recommended first-line regimen with a VL ≥ 100,000 copies/mL at ART initiaition had higher mortality rate (5.1 vs. 1.7 per 100 person-years), but there was no significant difference in the mortality accoding to the initial VL level among patients on second-line ART (2.8 vs. 2.7 per 100 person-years). ART initiation ≤ 30 days after HIV diagnosis was associated with a lower risk of AIDS-related death (AHR = 0.6). Conclusions ART initiation with VL ≥ 100,000 copies/mL was associated with a significantly greater risk of mortality and virologic failure. Optimizing the ART regimen and initiating ART early may help to reduce mortality effectively among patients with a high baseline VL. VL testing for all HIV patients is recommended at HIV diagnosis or on ART initiation.
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Affiliation(s)
- Chao Zhou
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Wei Zhang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Rongrong Lu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Lin Ouyang
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
| | - Hui Xing
- State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Yiming Shao
- State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
| | - Guohui Wu
- Chongqing Municipal Center for Disease Control and Prevention, Chongqing, China
- *Correspondence: Guohui Wu
| | - Yuhua Ruan
- State Key Laboratory of Infectious Disease Prevention and Control, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Beijing, China
- Yuhua Ruan
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11
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Sun Z, Lan Y, Liang S, Wang J, Ni M, Zhang X, Yu F, Chen M, Zhang H, Yan L, Cai W, Lan G, Ma Y, Zhang F. OUP accepted manuscript. J Antimicrob Chemother 2022; 77:1119-1124. [PMID: 35134966 DOI: 10.1093/jac/dkac016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 12/28/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Zhuoqun Sun
- Peking University Ditan Teaching Hospital, Beijing, China
- Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, China
| | - Yun Lan
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shujia Liang
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Jing Wang
- Chongqing Public Health Medical Center, Chongqing, China
| | - Mingjian Ni
- Xinjiang Center for Disease Control and Prevention, Xinjiang, China
| | - Xia Zhang
- Medical Laboratory Science Department of Weifang Medical College, Shandong, China
| | - Fengting Yu
- Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, China
| | - Meiling Chen
- Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, China
| | - Hanxi Zhang
- Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, China
| | - Liting Yan
- Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, China
| | - Weiping Cai
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Guanghua Lan
- Guangxi Key Laboratory of Major Infectious Disease Prevention and Control and Biosafety Emergency Response, Guangxi Center for Disease Control and Prevention, Nanning, China
| | - Ye Ma
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fujie Zhang
- Peking University Ditan Teaching Hospital, Beijing, China
- Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, China
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12
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Gao P, Yu F, Yang X, Li D, Shi Y, Wang Y, Zhang F. Evaluation of a novel in-house HIV-1 genotype drug resistance assay using clinical samples in China. Curr HIV Res 2021; 20:32-41. [PMID: 34515004 PMCID: PMC9127726 DOI: 10.2174/1570162x19666210910144433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 07/08/2021] [Accepted: 08/04/2021] [Indexed: 11/22/2022]
Abstract
Background HIV drug resistance poses a major challenge for anti-retroviral treatment (ART) and the prevention and control of HIV epidemic. Objective The study aims to establish a novel in-house assay with high efficiency, named AP in- house method, that would be suitable for HIV-1 drug resistance detection in China. Methods An in-house HIV-1 genotyping method was used to sequence the partial pol gene from 60 clinical plasma samples; the results of our test were compared with a commercial ViroSeq HIV-1 genotyping system. Results Among sixty samples, 58(96.7%) were successfully amplified by AP in-house method, five of them harbored viral load below 1,000 copies/ml. The genotype distribution was 43.1% CRF07_BC (25/58), 39.7% CRF01_AE (23/58), 6.9% CRF55_01B (4/58), 5.2% subtype B (3/58) and 5.2% CRF08_BC (3/58). Compared with that of the ViroSeq system, the consistent rate of these nucleotides and amino acids obtained by AP in-house method was up to 99.5 ± 0.4% and 99.5 ± 0.4%, respectively. A total of 290 HIV-1 drug resistance mutations were identified by two methods, including 126 nucleoside reverse transcriptase inhibitors (NRTIs), 145 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 19 protease inhibitors (PIs) resistance mutations. Out of them, 94.1% (273/290) were completely concordant between the AP in-house method and the ViroSeq system. Conclusion Overall, the evaluation of AP in-house method provided comparable results to those of the ViroSeq system on diversified HIV-1 subtypes in China.
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Affiliation(s)
- Peijie Gao
- Beijing Anapure Bioscitific Co. Ltd. Beijing. China
| | - Fengting Yu
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital. China
| | | | - Dan Li
- Beijing Anapure Bioscitific Co. Ltd. Beijing. China
| | - Yalun Shi
- Beijing Anapure Bioscitific Co. Ltd. Beijing. China
| | - Yan Wang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital. China
| | - Fujie Zhang
- Clinical and Research Center of Infectious Diseases, Beijing Ditan Hospital. China
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