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Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China

OBJECTIVES: The HIV epidemic is around 7%–20% among men who have sex with men (MSM) in Southwest China. The low HIV-testing rate highlights the need for tools to identify high-risk MSM in resource-limited regions. Our aim was, therefore, to evaluate the HIV RISK Assessment Tool for HIV prediction an...

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Autores principales: Zheng, Min, He, Jiayu, Yuan, Zhi, Zhang, Xinhui, Yao, Yongming, Fang, Xing, Fu, Lin, Ding, Yingying, He, Na, Zhang, Yuqiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678388/
https://www.ncbi.nlm.nih.gov/pubmed/33275116
http://dx.doi.org/10.1136/bmjopen-2020-039557
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author Zheng, Min
He, Jiayu
Yuan, Zhi
Zhang, Xinhui
Yao, Yongming
Fang, Xing
Fu, Lin
Ding, Yingying
He, Na
Zhang, Yuqiong
author_facet Zheng, Min
He, Jiayu
Yuan, Zhi
Zhang, Xinhui
Yao, Yongming
Fang, Xing
Fu, Lin
Ding, Yingying
He, Na
Zhang, Yuqiong
author_sort Zheng, Min
collection PubMed
description OBJECTIVES: The HIV epidemic is around 7%–20% among men who have sex with men (MSM) in Southwest China. The low HIV-testing rate highlights the need for tools to identify high-risk MSM in resource-limited regions. Our aim was, therefore, to evaluate the HIV RISK Assessment Tool for HIV prediction and to characterise the primary infection among MSM in Southwest China. DESIGN: A cross-sectional survey was conducted in Guizhou province between January and December 2018. Participants were recruited from gay communities, among whom the HIV RISK Assessment Tool was evaluated. Logistic regression was used to analyse items associated with HIV and the area under the curve (AUC) of the receiver operating curve was calculated to quantify discrimination performance. PARTICIPANTS: 1330 MSM participants, of which 83 (6.2%) tested as HIV positive. RESULTS: A higher composite score of the tool (adjusted OR (aOR) 9.33, 95% CI 4.57 to 19.05) was independently associated with HIV infection. Items positively associated with HIV infection included having 2–5 same sex partners (aOR 2.43, 95% CI 1.28 to 4.64), always (aOR 5.93, 95% CI 1.59 to 22.13) or sometimes (aOR 4.25, 95% CI 2.09 to 8.64) having unprotected anal intercourse, taking both insertive and receptive sex roles (aOR 4.95, 95% CI 2.57 to 9.53) or only the receptive sex role (aOR 2.26, 95% CI 1.21 to 4.24). The tool showed an optimal discrimination ability (AUC=0.827), with a specificity of 0.747 and sensitivity of 0.785. Five MSM were identified with primary infection and had similar sexual risk behaviors as HIV-positive participants. CONCLUSIONS: The HIV RISK Assessment Tool showed an overall good performance in predicting HIV risk among MSM in Guizhou province where the prevalence is still severe. This tool also demonstrated a potential to identify primary infection and is worth being promoted in resource-limited regions.
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spelling pubmed-76783882020-11-30 Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China Zheng, Min He, Jiayu Yuan, Zhi Zhang, Xinhui Yao, Yongming Fang, Xing Fu, Lin Ding, Yingying He, Na Zhang, Yuqiong BMJ Open Epidemiology OBJECTIVES: The HIV epidemic is around 7%–20% among men who have sex with men (MSM) in Southwest China. The low HIV-testing rate highlights the need for tools to identify high-risk MSM in resource-limited regions. Our aim was, therefore, to evaluate the HIV RISK Assessment Tool for HIV prediction and to characterise the primary infection among MSM in Southwest China. DESIGN: A cross-sectional survey was conducted in Guizhou province between January and December 2018. Participants were recruited from gay communities, among whom the HIV RISK Assessment Tool was evaluated. Logistic regression was used to analyse items associated with HIV and the area under the curve (AUC) of the receiver operating curve was calculated to quantify discrimination performance. PARTICIPANTS: 1330 MSM participants, of which 83 (6.2%) tested as HIV positive. RESULTS: A higher composite score of the tool (adjusted OR (aOR) 9.33, 95% CI 4.57 to 19.05) was independently associated with HIV infection. Items positively associated with HIV infection included having 2–5 same sex partners (aOR 2.43, 95% CI 1.28 to 4.64), always (aOR 5.93, 95% CI 1.59 to 22.13) or sometimes (aOR 4.25, 95% CI 2.09 to 8.64) having unprotected anal intercourse, taking both insertive and receptive sex roles (aOR 4.95, 95% CI 2.57 to 9.53) or only the receptive sex role (aOR 2.26, 95% CI 1.21 to 4.24). The tool showed an optimal discrimination ability (AUC=0.827), with a specificity of 0.747 and sensitivity of 0.785. Five MSM were identified with primary infection and had similar sexual risk behaviors as HIV-positive participants. CONCLUSIONS: The HIV RISK Assessment Tool showed an overall good performance in predicting HIV risk among MSM in Guizhou province where the prevalence is still severe. This tool also demonstrated a potential to identify primary infection and is worth being promoted in resource-limited regions. BMJ Publishing Group 2020-11-19 /pmc/articles/PMC7678388/ /pubmed/33275116 http://dx.doi.org/10.1136/bmjopen-2020-039557 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Epidemiology
Zheng, Min
He, Jiayu
Yuan, Zhi
Zhang, Xinhui
Yao, Yongming
Fang, Xing
Fu, Lin
Ding, Yingying
He, Na
Zhang, Yuqiong
Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China
title Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China
title_full Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China
title_fullStr Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China
title_full_unstemmed Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China
title_short Risk assessment and identification of HIV infection among men who have sex with men: a cross-sectional study in Southwest China
title_sort risk assessment and identification of hiv infection among men who have sex with men: a cross-sectional study in southwest china
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678388/
https://www.ncbi.nlm.nih.gov/pubmed/33275116
http://dx.doi.org/10.1136/bmjopen-2020-039557
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