Literature DB >> 33443369

Using longitudinal genetic-network study to understand HIV treatment-as-prevention.

Ruihua Kang1,2,3, Jianjun Li3, Huanhuan Chen3, Zhenzhu Tang3, Stephen W Pan4, Liuhong Luo3, Qiuying Zhu3, Guanghua Lan3, Shujia Liang3, Huaxiang Lu2, Jinhui Zhu3, Yi Feng2, Lingjie Liao2, Hui Xing2, Yiming Shao2, Yuhua Ruan2, Zhiyong Shen3.   

Abstract

OBJECTIVE: The WHO has recommended that antiretroviral therapy be provided to all HIV patients to reduce future HIV transmission rates. However, few studies have examined this public health strategy at the population level in a real-world setting.
METHODS: In this longitudinal genetic-network study in Guangxi, China, the baseline and follow-up data were collected from HIV patients in 2014 and newly diagnosed HIV patients from 2015 to 2018, respectively. The prevention efficacy was used to estimate the effect of treatment-as-prevention in reducing HIV secondary transmission.
RESULTS: Among 804 newly diagnosed HIV patients during 2015-2018, 399 (49.6%) of them genetically linked to HIV patients at baseline during 2014-2017. The overall proportion of genetic linkage between newly diagnosed HIV patients during 2015-2018 with untreated and treated HIV patients at baseline during 2014-2017 was 6.2 and 2.9%, respectively. The prevention efficacy in HIV transmission for treated HIV patients was 53.6% [95% confidence interval (95% CI): 42.1-65.1]. Subgroup analyses indicated an 80.3% (95% CI: 74.8-85.8) reduction in HIV transmission among HIV patients who were treated for 4 years or more and had viral loads less than 50 copies/ml. There was no significant reduction in HIV transmission among treated HIV patients who dropped out or who had missing viral load measures.
CONCLUSION: Our study results support the feasibility of treating all HIV patients for future reductions in HIV transmission at the population level in real-world settings. Comprehensive intervention prevention programmes are urgently needed.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33443369     DOI: 10.1097/QAD.0000000000002812

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  5 in total

1.  The Value of Nutritional Status in the Prognostic Analysis of Patients with AIDS-Related Lymphoma.

Authors:  Yanbo Sun; Jing Luo; Chuan Qian; Lan Luo; Manqi Xu; Haiyan Min; Yunyun Cen
Journal:  Infect Drug Resist       Date:  2021-03-18       Impact factor: 4.003

2.  Impacts of HIV-1 Subtype Diversity on Long-Term Clinical Outcomes in Antiretroviral Therapy in Guangxi, China.

Authors:  He Jiang; Guanghua Lan; Qiuying Zhu; Yi Feng; Shujia Liang; Jianjun Li; Xinjuan Zhou; Mei Lin; Yiming Shao
Journal:  J Acquir Immune Defic Syndr       Date:  2022-04-15       Impact factor: 3.771

3.  Epidemic Characteristics of HIV Drug Resistance in Hefei, Anhui Province.

Authors:  Shan Zheng; Jianjun Wu; Jingjing Hao; Dong Wang; Zhongwang Hu; Lei Liu; Chang Song; Jing Hu; Yanhua Lei; Hai Wang; Lingjie Liao; Yi Feng; Yiming Shao; Yuhua Ruan; Hui Xing
Journal:  Pathogens       Date:  2022-07-31

4.  Genetic network analysis of human immunodeficiency virus sexual transmission in rural Southwest China after the expansion of antiretroviral therapy: A population-based study.

Authors:  Jin Chen; Huanhuan Chen; Jianjun Li; Liuhong Luo; Ruihua Kang; Shujia Liang; Qiuying Zhu; Huaxiang Lu; Jinhui Zhu; Zhiyong Shen; Yi Feng; Lingjie Liao; Hui Xing; Yiming Shao; Yuhua Ruan; Guanghua Lan
Journal:  Front Microbiol       Date:  2022-08-18       Impact factor: 6.064

5.  Undiagnosed HIV Infections May Drive HIV Transmission in the Era of "Treat All": A Deep-Sampling Molecular Network Study in Northeast China during 2016 to 2019.

Authors:  Bin Zhao; Yu Qiu; Wei Song; Mingming Kang; Xue Dong; Xin Li; Lu Wang; Jianmin Liu; Haibo Ding; Zhenxing Chu; Lin Wang; Wen Tian; Hong Shang; Xiaoxu Han
Journal:  Viruses       Date:  2022-08-27       Impact factor: 5.818

  5 in total

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