HIV viral load algorithm: what are the needs in the field?: authors' response
- PMID: 31789891
- DOI: 10.1097/QAD.0000000000002383
HIV viral load algorithm: what are the needs in the field?: authors' response
Comment on
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Simplifying switch to second-line antiretroviral therapy in sub Saharan Africa: predicted effect of using a single viral load to define efavirenz-based first-line failure.AIDS. 2019 Aug 1;33(10):1635-1644. doi: 10.1097/QAD.0000000000002234. AIDS. 2019. PMID: 31305331 Free PMC article.
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HIV viral load algorithm: what are the needs in the field?AIDS. 2020 Jan 1;34(1):159-160. doi: 10.1097/QAD.0000000000002382. AIDS. 2020. PMID: 31693500 Free PMC article. No abstract available.
References
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- Breton G, Laborde-Balen G, Guilavogui F, Karemangino S, Zana DK, Temgoua EM, et al. HIV viral load algorithm: what are the needs in the field?. AIDS 2020; 34:159–160.
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- Chimukangara B, Lessells RJ, Rhee S-Y, Giandhari J, Kharsany ABM, Naidoo K, et al. Trends in pretreatment HIV-1 drug resistance in antiretroviral therapy-naive adults in South Africa, 2000–2016: a pooled sequence analysis. EClinicalMedicine 2019; 9:26–34.
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- Wilhelmson S, Månsson F, Lopatko Lindman J, Biai A, Esbjörnsson J, Norrgren H, et al. Prevalence of HIV-1 pretreatment drug resistance among treatment naïve pregnant women in Bissau, Guinea Bissau. PLoS One 2018; 13:e0206406.
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- Ngo-Giang-Huong N, Huynh THK, Dagnra AY, Toni T, Maiga AI, Kania D, et al. ANRS 12333 Study Group. Prevalence of pretreatment HIV drug resistance in West African and Southeast Asian countries. J Antimicrob Chemother 2018; 74:462–467.
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- Benzekri NA, Sambou JF, Ndong S, Tamba IT, Faye D, Diallo MB, et al. Prevalence, predictors, and management of advanced HIV disease among individuals initiating ART in Senegal, West Africa. BMC Infect Dis 2019; 19:261.
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