2021
DOI: 10.1097/qai.0000000000002707
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HIV-1 Recent Infection Testing Algorithm With Antiretroviral Drug Detection to Improve Accuracy of Incidence Estimates

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Cited by 25 publications
(23 citation statements)
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“…Also, the lack of antiretroviral detection in the incidence algorithm, when combined with an assumed false recency rate of 0%, may have resulted in a small proportion of long-term infections misclassified as recent in both surveys. However, use of a non-zero FRR would be inappropriate, given the differences in FRR among populations over time and that a non-zero FRR reduces recent cases without improving the positive predictive value of the algorithm [ 41 ]. Lastly, population-level causality between population-level viral load suppression and HIV incidence is difficult to establish without identification and measurement of population-level mechanisms; for example, unmeasured factors, such as transmission risk related to population mobility within sexual networks, may have affected the levels of new HIV infections.…”
Section: Discussionmentioning
confidence: 99%
“…Also, the lack of antiretroviral detection in the incidence algorithm, when combined with an assumed false recency rate of 0%, may have resulted in a small proportion of long-term infections misclassified as recent in both surveys. However, use of a non-zero FRR would be inappropriate, given the differences in FRR among populations over time and that a non-zero FRR reduces recent cases without improving the positive predictive value of the algorithm [ 41 ]. Lastly, population-level causality between population-level viral load suppression and HIV incidence is difficult to establish without identification and measurement of population-level mechanisms; for example, unmeasured factors, such as transmission risk related to population mobility within sexual networks, may have affected the levels of new HIV infections.…”
Section: Discussionmentioning
confidence: 99%
“…The criteria for HIV-1 RI patients included: (1) HIV-1 RRITS line score T 1 < L3; Of note, T 1 line was specifically designed to distinguish HIV-1 RI and LI according to its density or score since the coating antigen in T1 line can specifically bind mature anti-gp41 antibody with high avidity, which is usually found in HIV-1 long-term infection, but not in recent infection. (2) HIV-1 diagnosis ≤ 1 year ( Rice et al, 2020 ; de Wit et al, 2021 ; Teixeira et al, 2021 ); (3) baseline CD4 + T-cell counts ≥ 200 cells/μl ( Chauhan et al, 2020 ; Karatzas-Delgado et al, 2020 ; Zhu et al, 2020 ; Ang et al, 2021 ; Teixeira et al, 2021 ); (4) baseline HIV-1 RNA level ≥ 1,000 copies/ml ( Rice et al, 2020 ; Zhu et al, 2020 ; de Wit et al, 2021 ; Rwibasira et al, 2021 ; Voetsch et al, 2021 ). Otherwise, the HIV-1 patients were considered as long-term infection (LI) of HIV-1.…”
Section: Methodsmentioning
confidence: 99%
“…Testing algorithms often include information on viral load in particular but also on ART and have given quite reliable results in many settings [ 83 , 91 , 92 , 95 , 106 , 129 , 130 , 131 ] ( Table 2 ). Of interest, in a very large household-based study of more than 18,000 individuals in a high-prevalence setting (Swaziland), a RITA based on Lag (≤1.5 ODn) and viral load (≥1000 copies/mL), along with NAT testing of HIV-negative people for acute infection, produced very similar estimates of incidence (2.6%) compared to that based on the follow-up observation and testing of the same individuals (2.4%) [ 108 , 132 ].…”
Section: Use Of Recency Assays In Hiv Incidence Estimationsmentioning
confidence: 99%