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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

Universal antiretroviral therapy (ART, “treat all”) was recommended by the World Health Organization in 2015; however, HIV-1 transmission is still ongoing. This study characterizes the drivers of HIV transmission in the “treat all” era. Demographic and clinical information and HIV pol gene were coll...

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Autores principales: Zhao, Bin, Qiu, Yu, Song, Wei, Kang, Mingming, Dong, Xue, Li, Xin, Wang, Lu, Liu, Jianmin, Ding, Haibo, Chu, Zhenxing, Wang, Lin, Tian, Wen, Shang, Hong, Han, Xiaoxu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502473/
https://www.ncbi.nlm.nih.gov/pubmed/36146701
http://dx.doi.org/10.3390/v14091895
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author Zhao, Bin
Qiu, Yu
Song, Wei
Kang, Mingming
Dong, Xue
Li, Xin
Wang, Lu
Liu, Jianmin
Ding, Haibo
Chu, Zhenxing
Wang, Lin
Tian, Wen
Shang, Hong
Han, Xiaoxu
author_facet Zhao, Bin
Qiu, Yu
Song, Wei
Kang, Mingming
Dong, Xue
Li, Xin
Wang, Lu
Liu, Jianmin
Ding, Haibo
Chu, Zhenxing
Wang, Lin
Tian, Wen
Shang, Hong
Han, Xiaoxu
author_sort Zhao, Bin
collection PubMed
description Universal antiretroviral therapy (ART, “treat all”) was recommended by the World Health Organization in 2015; however, HIV-1 transmission is still ongoing. This study characterizes the drivers of HIV transmission in the “treat all” era. Demographic and clinical information and HIV pol gene were collected from all newly diagnosed cases in Shenyang, the largest city in Northeast China, during 2016 to 2019. Molecular networks were constructed based on genetic distance and logistic regression analysis was used to assess potential transmission source characteristics. The cumulative ART coverage in Shenyang increased significantly from 77.0% (485/630) in 2016 to 93.0% (2598/2794) in 2019 (p < 0.001). Molecular networks showed that recent HIV infections linked to untreated individuals decreased from 61.6% in 2017 to 28.9% in 2019, while linking to individuals with viral suppression (VS) increased from 9.0% to 49.0% during the same time frame (p < 0.001). Undiagnosed people living with HIV (PLWH) hidden behind the links between index cases and individuals with VS were likely to be male, younger than 25 years of age, with Manchu nationality (p < 0.05). HIV transmission has declined significantly in the era of “treat all”. Undiagnosed PLWH may drive HIV transmission and should be the target for early detection and intervention.
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spelling pubmed-95024732022-09-24 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 Zhao, Bin Qiu, Yu Song, Wei Kang, Mingming Dong, Xue Li, Xin Wang, Lu Liu, Jianmin Ding, Haibo Chu, Zhenxing Wang, Lin Tian, Wen Shang, Hong Han, Xiaoxu Viruses Article Universal antiretroviral therapy (ART, “treat all”) was recommended by the World Health Organization in 2015; however, HIV-1 transmission is still ongoing. This study characterizes the drivers of HIV transmission in the “treat all” era. Demographic and clinical information and HIV pol gene were collected from all newly diagnosed cases in Shenyang, the largest city in Northeast China, during 2016 to 2019. Molecular networks were constructed based on genetic distance and logistic regression analysis was used to assess potential transmission source characteristics. The cumulative ART coverage in Shenyang increased significantly from 77.0% (485/630) in 2016 to 93.0% (2598/2794) in 2019 (p < 0.001). Molecular networks showed that recent HIV infections linked to untreated individuals decreased from 61.6% in 2017 to 28.9% in 2019, while linking to individuals with viral suppression (VS) increased from 9.0% to 49.0% during the same time frame (p < 0.001). Undiagnosed people living with HIV (PLWH) hidden behind the links between index cases and individuals with VS were likely to be male, younger than 25 years of age, with Manchu nationality (p < 0.05). HIV transmission has declined significantly in the era of “treat all”. Undiagnosed PLWH may drive HIV transmission and should be the target for early detection and intervention. MDPI 2022-08-27 /pmc/articles/PMC9502473/ /pubmed/36146701 http://dx.doi.org/10.3390/v14091895 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Bin
Qiu, Yu
Song, Wei
Kang, Mingming
Dong, Xue
Li, Xin
Wang, Lu
Liu, Jianmin
Ding, Haibo
Chu, Zhenxing
Wang, Lin
Tian, Wen
Shang, Hong
Han, Xiaoxu
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502473/
https://www.ncbi.nlm.nih.gov/pubmed/36146701
http://dx.doi.org/10.3390/v14091895
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