Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention
Background: Recent infection testing algorithms (RITAs) incorporating clinical information with the HIV recency assay have been proven to accurately classify recent infection. However, little evidence exists on whether RITAs would help in precisely identifying major drivers of the ongoing HIV epidem...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-12-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971220321378 |
| _version_ | 1818955937585561600 |
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| author | Qiyu Zhu Yikui Wang Jing Liu Xing Duan Meibin Chen Jin Yang Tao Yang Shijiang Yang Peng Guan Yan Jiang Song Duan Jibao Wang Cong Jin |
| author_facet | Qiyu Zhu Yikui Wang Jing Liu Xing Duan Meibin Chen Jin Yang Tao Yang Shijiang Yang Peng Guan Yan Jiang Song Duan Jibao Wang Cong Jin |
| author_sort | Qiyu Zhu |
| collection | DOAJ |
| description | Background: Recent infection testing algorithms (RITAs) incorporating clinical information with the HIV recency assay have been proven to accurately classify recent infection. However, little evidence exists on whether RITAs would help in precisely identifying major drivers of the ongoing HIV epidemic. Methods: HIV recency test results and clinical information were collected from 1152 newly diagnosed HIV cases between 2015 and 2017 in Dehong prefecture of Yunnan province, and the efficacy of four different RITAs in identifying risk factors for new HIV infection was compared. Results: RITA 1 uses the recency test only. RITA 2 and RITA 3 combine the recency test with CD4+ T cell count and viral load (VL), respectively. RITA 4 combines both CD4+ T cell count and VL. All RITAs identified the MSM group and young people between 15 and 24 years as risk factors for incident HIV infection. RITA 3 and RITA 4 further identified the Dai ethnic minority as a risk factor, which had not been identified before when only the HIV recency test was used. Conclusions: By comparing different RITAs, we determined that greater accuracy in classifying recent HIV infection could help elucidate major drivers impacting the ongoing epidemic and thus inform targeted interventions. |
| first_indexed | 2024-12-20T10:46:00Z |
| format | Article |
| id | doaj.art-974dde8b8d144567be07d4a4949a5696 |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-12-20T10:46:00Z |
| publishDate | 2020-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-974dde8b8d144567be07d4a4949a56962022-12-21T19:43:24ZengElsevierInternational Journal of Infectious Diseases1201-97122020-12-01101131137Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted preventionQiyu Zhu0Yikui Wang1Jing Liu2Xing Duan3Meibin Chen4Jin Yang5Tao Yang6Shijiang Yang7Peng Guan8Yan Jiang9Song Duan10Jibao Wang11Cong Jin12National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, ChinaNational AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, ChinaNational AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, ChinaDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, ChinaNational AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, ChinaDepartment of AIDS Control and Prevention, Dehong Prefecture Center for Disease Control and Prevention, Mangshi 678400, Yunnan, China; Corresponding author at: Dehong Prefecture Centre for Disease Control and Prevention, 32 Keji Road, Mangshi 678400, Yunnan, China.National AIDS Reference Laboratory, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China; Corresponding author at: National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, 155 Chang Bai Road, Changping District, Beijing 102206, China.Background: Recent infection testing algorithms (RITAs) incorporating clinical information with the HIV recency assay have been proven to accurately classify recent infection. However, little evidence exists on whether RITAs would help in precisely identifying major drivers of the ongoing HIV epidemic. Methods: HIV recency test results and clinical information were collected from 1152 newly diagnosed HIV cases between 2015 and 2017 in Dehong prefecture of Yunnan province, and the efficacy of four different RITAs in identifying risk factors for new HIV infection was compared. Results: RITA 1 uses the recency test only. RITA 2 and RITA 3 combine the recency test with CD4+ T cell count and viral load (VL), respectively. RITA 4 combines both CD4+ T cell count and VL. All RITAs identified the MSM group and young people between 15 and 24 years as risk factors for incident HIV infection. RITA 3 and RITA 4 further identified the Dai ethnic minority as a risk factor, which had not been identified before when only the HIV recency test was used. Conclusions: By comparing different RITAs, we determined that greater accuracy in classifying recent HIV infection could help elucidate major drivers impacting the ongoing epidemic and thus inform targeted interventions.http://www.sciencedirect.com/science/article/pii/S1201971220321378HIV/AIDSIncident HIV infectionRecent infection testing algorithmsHIV recency assay |
| spellingShingle | Qiyu Zhu Yikui Wang Jing Liu Xing Duan Meibin Chen Jin Yang Tao Yang Shijiang Yang Peng Guan Yan Jiang Song Duan Jibao Wang Cong Jin Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention International Journal of Infectious Diseases HIV/AIDS Incident HIV infection Recent infection testing algorithms HIV recency assay |
| title | Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention |
| title_full | Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention |
| title_fullStr | Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention |
| title_full_unstemmed | Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention |
| title_short | Identifying major drivers of incident HIV infection using recent infection testing algorithms (RITAs) to precisely inform targeted prevention |
| title_sort | identifying major drivers of incident hiv infection using recent infection testing algorithms ritas to precisely inform targeted prevention |
| topic | HIV/AIDS Incident HIV infection Recent infection testing algorithms HIV recency assay |
| url | http://www.sciencedirect.com/science/article/pii/S1201971220321378 |
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