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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9712133</journal-id><journal-id journal-id-type="pubmed-jr-id">21042</journal-id><journal-id journal-id-type="nlm-ta">AIDS Behav</journal-id><journal-id journal-id-type="iso-abbrev">AIDS Behav</journal-id><journal-title-group><journal-title>AIDS and behavior</journal-title></journal-title-group><issn pub-type="ppub">1090-7165</issn><issn pub-type="epub">1573-3254</issn></journal-meta><article-meta><article-id pub-id-type="pmid">41148406</article-id><article-id pub-id-type="pmc">12990326</article-id><article-id pub-id-type="doi">10.1007/s10461-025-04914-5</article-id><article-id pub-id-type="manuscript">HHSPA2146869</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Viral suppression following same-day initiation antiretroviral therapy among persons aware of their classification as recent or long-term infected with HIV per recent infection testing algorithm, Rwanda 2021&#x02013;2022</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Patel</surname><given-names>Monita R</given-names></name><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Evans</surname><given-names>David</given-names></name><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Poirot</surname><given-names>Eugenie</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Sangwayire</surname><given-names>Beata</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Irabona</surname><given-names>Jean Claude</given-names></name><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Jovanovski</surname><given-names>Straso</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Mugisha</surname><given-names>Veronicah</given-names></name><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Kamanzi</surname><given-names>Collins</given-names></name><xref rid="A5" ref-type="aff">5</xref></contrib><contrib contrib-type="author"><name><surname>Remera</surname><given-names>Eric</given-names></name><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><name><surname>Tuyishime</surname><given-names>Elysee</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Reid</surname><given-names>Giles</given-names></name><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Oluoch</surname><given-names>Tom</given-names></name><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Saito</surname><given-names>Suzue</given-names></name><xref rid="A3" ref-type="aff">3</xref><xref rid="A7" ref-type="aff">7</xref></contrib><contrib contrib-type="author"><name><surname>Rwibasira</surname><given-names>Gallican</given-names></name><xref rid="A6" ref-type="aff">6</xref></contrib><contrib contrib-type="author"><collab>for the Rwanda HIV Recency Evaluation Study</collab></contrib></contrib-group><aff id="A1"><label>1</label>Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, Atlanta, GA</aff><aff id="A2"><label>2</label>Emory University, Rollins School of Public Health, Atlanta, GA</aff><aff id="A3"><label>3</label>ICAP at Columbia University, Mailman School of Public Health, New York, NY</aff><aff id="A4"><label>4</label>Division of Global HIV and Tuberculosis, U.S. Centers for Disease Control and Prevention, -Kigali, Rwanda</aff><aff id="A5"><label>5</label>ICAP at Columbia University, Mailman School of Public Health-Rwanda</aff><aff id="A6"><label>6</label>Ministry of Health, Rwanda Biomedical Centre, Kigali, Rwanda</aff><aff id="A7"><label>7</label>Columbia University, Department of Epidemiology, Mailman School of Public Health, New York, NY</aff><author-notes><corresp id="CR1"><bold>Corresponding Author:</bold> Monita R. Patel, Centers for Disease Control and Prevention, 1600 Clifton Road NE, Mailstop A-06, Atlanta GA 30333, <email>mrpatel@cdc.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>27</day><month>2</month><year>2026</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2026</year></pub-date><pub-date pub-type="epub"><day>28</day><month>10</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>16</day><month>3</month><year>2026</year></pub-date><volume>30</volume><issue>3</issue><fpage>885</fpage><lpage>893</lpage><abstract id="ABS1"><p id="P1">Awareness of classification as recent or long-term HIV-infected, could potentially influence behavior that leads to differential ART outcomes. We examined whether persons aware of classification of their HIV infection as recent were more or less likely to initiate same-day antiretroviral therapy (ART) and have viral load suppression (VLS) 6-month post-ART initiation, compared to persons aware of classification of their HIV infection as long-term in a cohort of 1,238 adults newly diagnosed with HIV from August 2021 to October 2022 in Rwanda. All persons received a rapid test for recent infection (RTRI) at baseline and viral load (VL) testing at baseline and at follow-up (approximately 6-months post-ART initiation). Per study protocol recent infection testing algorithm (RITA), HIV infection was classified as RITA-recent (RTRI-recent and baseline VL&#x02265;1000 copies/mL) or RITA-long-term (RTRI-long-term and baseline VL &#x02265;1000) and recency test results were returned per national guidelines; persons with baseline VL&#x0003c;1000 copies/mL were presumed previously diagnosed and on ART and excluded. Data were abstracted from Rwanda&#x02019;s case surveillance system. We calculated the proportion of persons with follow-up VLS (&#x0003c;1000 copies/mL). We estimated Risk Ratios (RRs) for follow-up VLS. Nearly all (99.6%) persons initiated same-day ART. Follow-up VLS did not differ between persons aware of classification of their HIV infection as RITA-recent (94%) versus RITA-long-term (94%). Awareness of RITA classification was not associated with follow-up VLS (RR=1.01 [95% confidence interval: 0.96&#x02013;1.06]). In this setting where persons were aware of RITA-classification, the vast majority initiated same-day ART and achieved follow-up VLS, regardless of RITA-recent or -long-term infection.</p></abstract><kwd-group><kwd>HIV recent infection</kwd><kwd>antiretroviral therapy</kwd><kwd>viral load suppression</kwd><kwd>Rwanda</kwd></kwd-group></article-meta></front><body><sec id="S1"><title>BACKGROUND</title><p id="P2">Worldwide many countries have made substantial progress towards meeting Joint United Nations Programme on HIV/AIDS (UNAIDS) targets of 95% of people living with HIV knowing their status, 95% of people with known HIV status initiating antiretroviral therapy (ART), and 95% of persons on antiretroviral therapy with suppressed HIV viral load (VL).(<xref rid="R1" ref-type="bibr">1</xref>) Despite this progress, we observed ongoing HIV transmission with an estimated 1.3 million new HIV infections globally(<xref rid="R1" ref-type="bibr">1</xref>), but with effective and timely HIV case-finding, persons can be diagnosed and treated soon after HIV infection.</p><p id="P3">A recent infection testing algorithm (RITA) is a biomarker-based approach used among persons newly diagnosed to classify their HIV infection as either recent or long-term.(<xref rid="R2" ref-type="bibr">2</xref>) RITA includes a recency assay that measures a person&#x02019;s antibody avidity (or binding strength), which typically increases with time following seroconversion and classifies them as either recently or long-term infected based on a threshold value.(<xref rid="R3" ref-type="bibr">3</xref>, <xref rid="R4" ref-type="bibr">4</xref>) The duration of infection for persons whose HIV infection was classified as recent varies across individuals and by type of recency assay used, but the mean for the currently commercially available Asante Rapid Recency assay (Sedia Biosciences, Beaverton, OR) is approximately 6 months and the maximum is 12 months.(<xref rid="R5" ref-type="bibr">5</xref>) Currently recency assays are used primarily in population surveys or studies to estimate HIV incidence and in clinical program-based surveillance to understand trends in recent infections among the population of persons newly diagnosed with HIV through routine testing programs.(<xref rid="R2" ref-type="bibr">2</xref>) These data provide opportunities to understand potential differences between persons with HIV infection classified by RITA as recent compared to persons with HIV infection classified by RITA as long-term.</p><p id="P4">One analysis of surveillance data on persons newly diagnosed with HIV from March to August 2021 in Zambia reported no statistical difference in baseline VL between persons with HIV infection classified as RITA-recent versus RITA-long-term.(<xref rid="R6" ref-type="bibr">6</xref>) To our knowledge, there are no studies to date examining differences in longitudinal outcomes following HIV diagnosis (or enrollment) such as ART initiation or subsequent post-ART viral suppression, between persons with HIV infection classified as RITA-recent and RITA-long-term.</p><p id="P5">Global guidance recommends not returning RITA results to clients or providers, since these results are intended to be used for surveillance and not for clinical management.(<xref rid="R2" ref-type="bibr">2</xref>) Some countries, such as Rwanda, continue to return recent infection testing results as required by national guidelines. Client awareness of RITA classification status from return of results to clients could impact behavior. Similarly, client-perceived or clinician-disclosed stage of HIV infection based on symptoms or overall clinical status could impact behavior. Persons with HIV infection classified as RITA-recent (and in earlier stage of infection) may not feel the same urgency or imperativeness to start and stay on ART and may modify their behavior accordingly.(<xref rid="R7" ref-type="bibr">7</xref>&#x02013;<xref rid="R11" ref-type="bibr">11</xref>) Alternatively, they may feel increased motivation for ART, as they may perceive that their HIV infection was diagnosed early, and the probability of successful treatment is high.(<xref rid="R12" ref-type="bibr">12</xref>)</p><p id="P6">To explore this hypothesis that client awareness of RITA classification may affect ART-related behavior and subsequent viral suppression, we examined ART initiation and post-ART viral suppression at 6-months among a cohort of persons in Rwanda who were newly diagnosed with HIV, had HIV infection classified by RITA as recent or long-term and were aware of their RITA results.</p></sec><sec id="S2"><title>METHODS</title><p id="P7">The Rwanda HIV Recency Evaluation Study was conducted from August 2021 to October 2022 and enrolled all adults (&#x02265;15 years) newly diagnosed with HIV and consenting to participate in HIV case surveillance and recent infection surveillance across 60 health facilities. Health facilities were sampled across all five provinces in Rwanda using probability sampling proportional to the number of infections classified as RITA-recent during the preceding two years. Additional consent was obtained for study specific interviews, use of biomarker testing results, and abstraction of data from HIV case surveillance and electronic medical records at baseline (time of diagnosis) and monthly through 6 months follow-up. At HIV diagnosis, all participants underwent a rapid test for recent infection (RTRI) with the Asante Rapid Recency assay (Sedia Biosciences, Beaverton, OR), which is routinely done as a part of recent infection surveillance in Rwanda and a baseline VL measurement which is not routinely done as a part of program or surveillance in Rwanda but was additionally done under the study protocol. Per a study-specific RITA, a person&#x02019;s HIV infection was classified as RITA-recent (RTRI-recent and baseline VL&#x02265;1000 copies/mL) or RITA-long-term (RTRI-long-term and baseline VL &#x02265;1000 copies/mL); persons with a baseline VL&#x0003c;1000 copies/mL were presumed previously diagnosed and on ART and were excluded from analyses. RITA results were returned to persons per Rwanda national guidelines. The study was reviewed and approved by institutional review boards at the Rwanda National Ethics Committee, and the Columbia University Medical Center.<sup><xref rid="FN3" ref-type="fn">1</xref></sup></p><p id="P8">We limited our analysis to participants who were newly diagnosed (VL &#x02265;1000 copies/mL), initiated ART, and had a follow-up VL result. Per Rwanda national guidelines, all persons initiating ART should have a follow-up VL done by approximately 6-months post-ART initiation. We included the first VL result post-ART initiation as the 6-month VL. We calculated the median and interquartile range of time from ART initiation to follow-up VL. As the primary outcome, we calculated the proportion of persons with VL suppression (VLS) (&#x0003c;1000 copies/mL) based on the 6-month VL. The median and interquartile VL were calculated for persons with unsuppressed VL (&#x02265;1000 copies/mL) at follow-up. All analyses are presented overall, and by the primary exposure variable, categorized as either RITA-recent (a person whose infection is classified on RITA-recent or RITA-long-term (a person whose infection is classified on RITA as long-term. Other variables of interest included age, categorized using a cut-point of 30 years; World Health Organization (WHO) HIV clinical stage classification; baseline VL (which by definition was &#x02265;1000 copies/mL for all persons in the cohort), categorized using a cut-point of 4.0 log<sub>10</sub> copies/mL which was selected based on the median value in the cohort; initial ART regimen; employment status; sex; pregnancy status; and marital status.</p><p id="P9">Bivariate statistical analysis was conducted to understand differences in covariates of interest that may impact viral suppression status at 6-months follow-up between persons with HIV infection classified as RITA-recent and RITA-long-term. Kruskal-Wallis rank sum tests were used to assess differences in the medians for continuous covariates. Chi-squared or Fisher&#x02019;s exact test (if the number in any cells was &#x02264;5) was used to assess differences in proportions for categorical variables, respectively. A threshold of &#x0003c;0.05 for alpha was used to determine statistically significant differences. Poisson regression models with robust variance estimators were used to estimate risk ratios (RRs) with 95% confidence intervals (CIs) for the primary outcome of VLS during follow-up. We created a separate model for each exposure variable and assessed other covariates as potential confounders to adjust for in the model. We examined RITA-classification as the primary exposure of interest. We examined WHO clinical stage, baseline VL, ART regimen, employment status, marital status, sex, and age separately as secondary exposures of interest. For variable selection for each of these models, we used a backwards elimination process that accounted for the change in the estimate of our exposure by sequentially assessing covariates with least statistical significance first. In assessing each covariate, if dropping it from the model did not result in &#x0003e;10% change in estimate of the RR between the exposure and outcome, the covariate was eliminated from the model. In all models, all covariates that were assessed as potential confounders were eliminated, leaving only the exposure; age, sex, baseline VL, and ART regimen were empirically added back in and adjusted for in all models. Pregnancy status was not included in this modeling process as it was colinear with sex. Analyses were conducted using SAS version 9.4 (SAS Institute, Cary, NC) and statistical packages in R version 4.3.1 (R Core Team, 2024).</p></sec><sec id="S3"><title>RESULTS</title><p id="P10">Among 1,238 persons newly diagnosed with HIV (VL &#x02265;1000 copies/mL), nearly all (99.6%) initiated ART (<xref rid="F1" ref-type="fig">Figure 1</xref>). Among these persons who initiated ART, 29 (2.4%) were documented to have died before having a follow-up VL test; of these, all were RITA-long term. Additionally, 153 (12.4%) persons without documented death did not have a follow up VL test; of these, 142 (92.8%) were RITA-long-term. We included the remaining 1,051 persons who were newly diagnosed with HIV, initiated ART, and had a follow-up VL, in our analysis.</p><p id="P11">The median age was 31 years (IQR: 26&#x02013;38). The proportion of younger persons (age &#x0003c;30 years) was 40% overall, and higher among those RITA-recent (56%) compared to those RITA-long-term (38%) (p=0.001). The overall proportion female was 65%, and higher among those RITA-recent (78%) compared to those RITA-long-term (64%) (p=0.01). Among female participants, 29% were pregnant at baseline with no significant difference among those RITA-recent and those RITA-long term. Over half of persons self-reported being married or cohabiting with a partner (52%), and marital status did not differ by RITA-classification. Median time to ART initiation after HIV diagnosis was 0 days (same day ART initiation) overall, and among those RITA-recent versus RITA-long-term. Nearly all persons (96%) were prescribed TDF+3TC+DTG as their ART regimen. Median VL at baseline was 4.4 log<sub>10</sub> copies/mL overall, and among those RITA-recent and RITA-long term (<xref rid="T1" ref-type="table">Table 1</xref>).</p><p id="P12">The proportion with viral suppression during follow-up was 94% overall, and (the same) among those RITA-recent and those RITA-long-term (<xref rid="F2" ref-type="fig">Figure 2</xref>). Median time from ART initiation to follow-up VL was 6.0 months (IQR: 5.8&#x02013;6.4 months). Among those with unsuppressed VL (n = 66), the distribution of VL and change from baseline in VL at follow-up by RITA-classification is displayed in <xref rid="F3" ref-type="fig">Figure 3</xref>. Median VL at follow-up was 4.3 log<sub>10</sub> copies/mL (IQR: 3.6&#x02013;4.9 log<sub>10</sub> copies/mL) and did not differ (p=0.4) between those RITA-recent (4.0 log<sub>10</sub> copies/mL [IQR: 3.8&#x02013;4.0 log<sub>10</sub> copies/mL) and those RITA-long-term (4.4 log10 copies/mL [IQR: 3.6&#x02013;5.0 log<sub>10</sub> copies/mL). Median change (from baseline) in VL among those unsuppressed at follow-up was &#x02212;0.2 log<sub>10</sub> copies/mL (IQR: &#x02212;1.2&#x02013;0.5 log<sub>10</sub> copies/mL) and did not differ (p=0.67) between those RITA-recent (&#x02212;0.5 log<sub>10</sub> copies/mL [IQR: &#x02212;1.0&#x02013;0.2 log<sub>10</sub> copies/mL]) and those RITA-long-term (&#x02212;0.2 log<sub>10</sub> copies/ml [IQR: &#x02212;1.2&#x02013;0.5 log<sub>10</sub> copies/mL]).</p><p id="P13">RITA-classification was not associated with viral suppression during a six-month follow-up period (RR=1.01 [95% CI: 0.96&#x02013;1.06]). Being less than 30 years (RR=0.95 [95% CI: 0.92&#x02013;0.99]) was associated with being less likely to be virally suppressed during follow-up; baseline VL &#x0003c; 4 log10 copies/mL was associated with being more likely to be virally suppressed during follow-up (RR=1.04 [95% CI: 1.01&#x02013;1.07]). No other variables were significantly associated with viral suppression during follow-up (<xref rid="F4" ref-type="fig">Figure 4</xref>).</p></sec><sec id="S4"><title>DISCUSSION:</title><p id="P14">In this study of 1,238 persons newly diagnosed with HIV whose infection was classified by RITA as recent or long-term infected and had their recency results returned to them, nearly all (99.6%) initiated same-day ART. Similar to what has been reported from other studies and routine surveillance data, those RITA-recent were predominately younger and female and may reflect higher risk for HIV acquisition and/or enhanced case-finding HIV efforts in these sub-populations.(<xref rid="R13" ref-type="bibr">13</xref>&#x02013;<xref rid="R15" ref-type="bibr">15</xref>) Of note, baseline VL did not differ between those RITA-recent and those RITA-long-term, which is similar to what has been reported from Zambia.(<xref rid="R6" ref-type="bibr">6</xref>) Among those with documented follow-up VL results post-ART initiation (85%), viral suppression was high overall (94%) in this cohort, and among those RITA-recent (94%) or those RITA-long-term (94%); likely contributed to by near-universal same-day ART initiation. Among those with a non-suppressed VL during follow-up, median VL (and change in VL from baseline) did not differ by RITA classification status. Other than baseline VL, the only variable associated with viral suppression during follow-up was age, with those &#x0003c;30 years being less likely to suppress, which is consistent with other studies (<xref rid="R16" ref-type="bibr">16</xref>); however, the magnitude and strength of association was relatively small.</p><p id="P15">The proportion of persons initiating same-day ART in our study was comparable or higher than what has been reported in the literature from studies in Rwanda and other countries and did not vary by RITA classification status. In a study of 2,542 persons living with HIV enrolling in care at 10 facilities in Kigali, Rwanda between July 1, 2016 and December 31, 2018, 860 (34%) initiated same-day ART.(<xref rid="R17" ref-type="bibr">17</xref>) In recent studies from other countries the proportion varied: 98.1% in a study in Blantyre, Malawi from 2018&#x02013;2021(<xref rid="R18" ref-type="bibr">18</xref>), 64% in a study of International epidemiology Databases to Evaluate AIDS (IeDEA) sites in sub-Saharan Africa from country-specific Treat-All adoption dates to January 2019(<xref rid="R19" ref-type="bibr">19</xref>), and 66% in KwaZulu-Natal, South Africa from June to November 2020 (<xref rid="R20" ref-type="bibr">20</xref>). In the Rwandan setting where RITA results are returned to clients, RITA classification status was not associated with time to ART initiation, and suggesting that knowledge of recent infection status by clients or providers does not impact willingness to initiate ART. These findings are encouraging and demonstrate that it is programmatically feasible to have same-day ART initiation (per national and global guidance) in nearly all newly diagnosed clients.</p><p id="P16">Similarly, VLS in our study population was comparable or higher than those previously described from Rwanda and other countries (and nearly at the 95% UNAIDS target) and did not vary by RITA classification. Globally, UNAIDS estimates that 93% of all persons on ART are virally suppressed.(<xref rid="R1" ref-type="bibr">1</xref>) In a study of 10,200 persons living with HIV on ART in 10 facilities in Rwanda, 91% had viral suppression, based on their most recent VL test result within the preceding year.(<xref rid="R21" ref-type="bibr">21</xref>) In our study, the proportion virally suppressed, as well as the median VL and change in VL from baseline among the subset unsuppressed, did not vary by RITA status, suggesting that with timely and effective ART, it is feasible for persons to suppress virus at 6-months, regardless of whether their HIV infection was classified as recent or long-term. Furthermore, this suggests that client awareness of RITA-recent or RITA-long-term infection classification may not influence behavior that would result in any differences in 6-month VLS.</p><p id="P17">There are at least three limitations to consider in our study that should be considered when interpretating the findings. First, we limited our analysis to the subset of persons alive and with a documented VL at 6-months follow-up. There is some potential bias in this approach, as persons who did not have a VL test done or documented may have been less likely to be virally suppressed. If we recalculated viral suppression at 6 months among all persons initiating ART (and assume that all persons who did not have a VL done were unsuppressed), viral suppression would be 79.9% overall and not statistically different (p=0.36) between those RITA-recent (83.7%) and those RITA-long term (79.6%). We created and compared <xref rid="T1" ref-type="table">Table 1</xref> for persons missing VL (not presented), with <xref rid="T1" ref-type="table">Table 1</xref> for the overall cohort included in our analysis, which suggests that missingness of VL was non-differential across the baseline demographic and clinical variables we captured in our study. Additionally, the study follow-up period was limited and did not allow us to analyze potential differences in longer term ART outcomes beyond 6-months. Second, we were limited to clients enrolled in and data routinely captured through HIV case surveillance and electronic medical records. Therefore, we could not account for all potential variables that could be associated with HIV VL, which may have resulted in residual confounding. Additionally, we were limited to the number of clients newly diagnosed with HIV during the study period and a sample size that was powered for the primary outcomes of the study, not for the outcome of follow-up viral suppression; therefore, we may have been potentially underpowered to detect a potential difference by RITA-classification. Third, due to individual variation in antibody avidity, there may be some classification of persons with recent infection as RITA-long-term and some classification of persons with long-term infection as RITA-recent. For example, in our study, we observed that 8 (9.2%) persons classified as RITA-recent were also WHO stage II or III, which may suggest long-term infection. Similarly, because antibody avidity declines in people with advanced HIV disease, there may be some persons with long-term infection who present for diagnosis with advanced HIV disease who are classified as RITA-recent. Accordingly, global guidance recommends that RITA-results only be used for surveillance and does not recommend that RITA-results be returned to clients or used at the individual-level for clinical management. Study procedures that included additional clinical information from HIV case surveillance and electronic medical records systems, as well as baseline VL testing on all persons, were utilized to help minimize this potential error.</p><p id="P18">Despite these limitations, our findings have several potential key implications for HIV programs. First, in this setting of return of recency results, the lack of association between RITA classification and time to ART initiation and viral suppression (both baseline and follow-up) underscores global recommendations that RITA results not be used to differentiate clinical management of persons.(<xref rid="R2" ref-type="bibr">2</xref>) Program services designed to support same-day ART initiation, retention, and adherence may help all clients (regardless of RITA-status), attain viral suppression. Efforts to diagnose and treat persons living with HIV early in the course of infection are important to prevent HIV transmission, however, our findings suggest that regardless of RITA-classification, same-day ART initiation and viral suppression at 6-months was relatively high. Second, despite these overall positive findings, there were still some clients who remained virally unsuppressed at 6-month follow-up and others who did not have documented follow-up VL. Other than younger age (for which the magnitude and significance of association was limited), no other variables included in our analysis appeared predictive of viral suppression. Additional data sources or a longer timeframe may need to be explored to more comprehensively understand the extent and factors associated with viral suppression in Rwanda, to continue progress toward the global target of 95%.</p></sec></body><back><ack id="S5"><title>ACKNOWLEDGEMENTS.</title><p id="P19">This project is supported by the U.S. President&#x02019;s Emergency Plan for AIDS Relief (PEPFAR) through Centers for Disease Control and Prevention under the terms of Cooperative Agreement GH002171. We would like to acknowledge the study participants and facility and laboratory staff who made this project possible.</p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P20"><bold>Declarations:</bold> This work was funded by the Centers for Disease Control and Prevention Cooperative Agreement GH002171. The authors have no competing interests to declare.</p></fn><fn id="FN2"><p id="P21"><bold>Disclaimer:</bold> The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the funding agencies.</p></fn><fn id="FN3"><label>1</label><p id="P22">&#x000a7; See 45 C.F.R. part 46.101(c); 21 C.F.R. part 56</p></fn></fn-group><ref-list><title>REFERENCES:</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><source>2024 global AIDS report &#x02014; The Urgency of Now: AIDS at a Crossroads. Geneva: Joint United Nations Programme on HIV/AIDS</source>; <year>2024</year>.</mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="book"><source>Using recency assays for HIV surveillance: 2022 technical guidance</source>. <publisher-loc>Geneva</publisher-loc>: <publisher-name>World Health Organization</publisher-name>; <year>2022</year>.</mixed-citation></ref><ref id="R3"><label>3.</label><mixed-citation publication-type="journal"><name><surname>Duong</surname><given-names>YT</given-names></name>, <name><surname>Qiu</surname><given-names>M</given-names></name>, <name><surname>De</surname><given-names>AK</given-names></name>, <name><surname>Jackson</surname><given-names>K</given-names></name>, <name><surname>Dobbs</surname><given-names>T</given-names></name>, <name><surname>Kim</surname><given-names>AA</given-names></name>, <etal/>
<article-title>Detection of recent HIV-1 infection using a new limiting-antigen avidity assay: potential for HIV-1 incidence estimates and avidity maturation studies</article-title>. <source>PloS one</source>. <year>2012</year>;<volume>7</volume>(<issue>3</issue>):<fpage>e33328</fpage>.<pub-id pub-id-type="pmid">22479384</pub-id>
</mixed-citation></ref><ref id="R4"><label>4.</label><mixed-citation publication-type="journal"><name><surname>Murphy</surname><given-names>G</given-names></name>, <name><surname>Pilcher</surname><given-names>C</given-names></name>, <name><surname>Keating</surname><given-names>S</given-names></name>, <name><surname>Kassanjee</surname><given-names>R</given-names></name>, <name><surname>Facente</surname><given-names>S</given-names></name>, <name><surname>Welte</surname><given-names>A</given-names></name>, <etal/>
<article-title>Moving towards a reliable HIV incidence test&#x02013;current status, resources available, future directions and challenges ahead</article-title>. <source>Epidemiology &#x00026; Infection</source>. <year>2017</year>;<volume>145</volume>(<issue>5</issue>):<fpage>925</fpage>&#x02013;<lpage>41</lpage>.<pub-id pub-id-type="pmid">28004622</pub-id>
</mixed-citation></ref><ref id="R5"><label>5.</label><mixed-citation publication-type="journal"><name><surname>Yufenyuy</surname><given-names>EL</given-names></name>, <name><surname>Detorio</surname><given-names>M</given-names></name>, <name><surname>Dobbs</surname><given-names>T</given-names></name>, <name><surname>Patel</surname><given-names>HK</given-names></name>, <name><surname>Jackson</surname><given-names>K</given-names></name>, <name><surname>Vedapuri</surname><given-names>S</given-names></name>, <etal/>
<article-title>Performance evaluation of the Asante Rapid Recency Assay for verification of HIV diagnosis and detection of recent HIV-1 infections: Implications for epidemic control</article-title>. <source>PLOS Global Public Health</source>. <year>2022</year>;<volume>2</volume>(<issue>5</issue>):<fpage>e0000316</fpage>.<pub-id pub-id-type="pmid">36962217</pub-id>
</mixed-citation></ref><ref id="R6"><label>6.</label><mixed-citation publication-type="journal"><name><surname>Tessema</surname><given-names>Z</given-names></name>, <name><surname>Stoops</surname><given-names>E</given-names></name>, <name><surname>Shibemba</surname><given-names>A</given-names></name>, <name><surname>Phiri</surname><given-names>L</given-names></name>, <name><surname>Agolory</surname><given-names>S</given-names></name>, <name><surname>Nkwemu</surname><given-names>K</given-names></name>, <etal/>
<article-title>VIRAL SUPPRESSION AMONG PERSONS ENROLLED IN HIV RECENT INFECTION SURVEILLANCE: ZAMBIA</article-title>. <source>Conference on Retroviruses and Opportunistic Infections</source><year>2022</year>.</mixed-citation></ref><ref id="R7"><label>7.</label><mixed-citation publication-type="journal"><name><surname>Charurat</surname><given-names>M</given-names></name>, <name><surname>Oyegunle</surname><given-names>M</given-names></name>, <name><surname>Benjamin</surname><given-names>R</given-names></name>, <name><surname>Habib</surname><given-names>A</given-names></name>, <name><surname>Eze</surname><given-names>E</given-names></name>, <name><surname>Ele</surname><given-names>P</given-names></name>, <etal/>
<article-title>Patient retention and adherence to antiretrovirals in a large antiretroviral therapy program in Nigeria: a longitudinal analysis for risk factors</article-title>. <source>PloS one</source>. <year>2010</year>;<volume>5</volume>(<issue>5</issue>):<fpage>e10584</fpage>.<pub-id pub-id-type="pmid">20485670</pub-id>
</mixed-citation></ref><ref id="R8"><label>8.</label><mixed-citation publication-type="journal"><name><surname>Maqutu</surname><given-names>D</given-names></name>, <name><surname>Zewotir</surname><given-names>T</given-names></name>, <name><surname>North</surname><given-names>D</given-names></name>, <name><surname>Naidoo</surname><given-names>K</given-names></name>, <name><surname>Grobler</surname><given-names>A</given-names></name>. <article-title>Factors affecting first-month adherence to antiretroviral therapy amongHIV-positive adults in South Africa</article-title>. <source>African Journal of AIDS Research</source>. <year>2010</year>;<volume>9</volume>(<issue>2</issue>):<fpage>117</fpage>&#x02013;<lpage>24</lpage>.<pub-id pub-id-type="pmid">21779200</pub-id>
</mixed-citation></ref><ref id="R9"><label>9.</label><mixed-citation publication-type="journal"><name><surname>Jenness</surname><given-names>SM</given-names></name>, <name><surname>Myers</surname><given-names>JE</given-names></name>, <name><surname>Neaigus</surname><given-names>A</given-names></name>, <name><surname>Lulek</surname><given-names>J</given-names></name>, <name><surname>Navejas</surname><given-names>M</given-names></name>, <name><surname>Raj-Singh</surname><given-names>S</given-names></name>. <article-title>Delayed entry into HIV medical care after HIV diagnosis: risk factors and research methods</article-title>. <source>AIDS care</source>. <year>2012</year>;<volume>24</volume>(<issue>10</issue>):<fpage>1240</fpage>&#x02013;<lpage>8</lpage>.<pub-id pub-id-type="pmid">22316090</pub-id>
</mixed-citation></ref><ref id="R10"><label>10.</label><mixed-citation publication-type="journal"><name><surname>Mwamba</surname><given-names>C</given-names></name>, <name><surname>Beres</surname><given-names>LK</given-names></name>, <name><surname>Topp</surname><given-names>SM</given-names></name>, <name><surname>Mukamba</surname><given-names>N</given-names></name>, <name><surname>Simbeza</surname><given-names>S</given-names></name>, <name><surname>Sikombe</surname><given-names>K</given-names></name>, <etal/>
<article-title>I need time to start antiretroviral therapy&#x02019;: understanding reasons for delayed ART initiation among people diagnosed with HIV in Lusaka, Zambia</article-title>. <source>Annals of medicine</source>. <year>2022</year>;<volume>54</volume>(<issue>1</issue>):<fpage>830</fpage>&#x02013;<lpage>6</lpage>.<pub-id pub-id-type="pmid">35311423</pub-id>
</mixed-citation></ref><ref id="R11"><label>11.</label><mixed-citation publication-type="journal"><name><surname>Ali</surname><given-names>H</given-names></name>, <name><surname>Zakar</surname><given-names>R</given-names></name>, <name><surname>Junaid</surname><given-names>K</given-names></name>, <name><surname>Khan</surname><given-names>A</given-names></name>, <name><surname>Fischer</surname><given-names>F</given-names></name>. <article-title>Frequency and reasons for delayed treatment initiation after HIV diagnosis: cross-sectional study in Lahore, Pakistan</article-title>. <source>BMC public health</source>. <year>2021</year>;<volume>21</volume>(<issue>1</issue>):<fpage>1000</fpage>.<pub-id pub-id-type="pmid">34044793</pub-id>
</mixed-citation></ref><ref id="R12"><label>12.</label><mixed-citation publication-type="journal"><name><surname>Begashaw</surname><given-names>B</given-names></name>, <name><surname>Tessema</surname><given-names>F</given-names></name>, <name><surname>Gesesew</surname><given-names>HA</given-names></name>. <article-title>Health care seeking behavior in Southwest Ethiopia</article-title>. <source>PloS one</source>. <year>2016</year>;<volume>11</volume>(<issue>9</issue>):<fpage>e0161014</fpage>.<pub-id pub-id-type="pmid">27626804</pub-id>
</mixed-citation></ref><ref id="R13"><label>13.</label><mixed-citation publication-type="journal"><name><surname>Currie</surname><given-names>DW</given-names></name>, <name><surname>West</surname><given-names>CA</given-names></name>, <name><surname>Patel</surname><given-names>HK</given-names></name>, <name><surname>Favaloro</surname><given-names>J</given-names></name>, <name><surname>Asiimwe</surname><given-names>F</given-names></name>, <name><surname>Ndagije</surname><given-names>F</given-names></name>, <etal/>
<article-title>Risk Factors for Recent HIV Infections among Adults in 14 Countries in Africa Identified by Population-Based HIV Impact Assessment Surveys, 2015&#x02013;2019</article-title>. <source>Emerging Infectious Diseases</source>. <year>2023</year>;<volume>29</volume>(<issue>11</issue>):<fpage>2325</fpage>.<pub-id pub-id-type="pmid">37877591</pub-id>
</mixed-citation></ref><ref id="R14"><label>14.</label><mixed-citation publication-type="journal"><name><surname>Kim</surname><given-names>AA</given-names></name>, <name><surname>Parekh</surname><given-names>BS</given-names></name>, <name><surname>Umuro</surname><given-names>M</given-names></name>, <name><surname>Galgalo</surname><given-names>T</given-names></name>, <name><surname>Bunnell</surname><given-names>R</given-names></name>, <name><surname>Makokha</surname><given-names>E</given-names></name>, <etal/>
<article-title>Identifying risk factors for recent HIV infection in Kenya using a recent infection testing algorithm: results from a nationally representative population-based survey</article-title>. <source>PLoS One</source>. <year>2016</year>;<volume>11</volume>(<issue>5</issue>):<fpage>e0155498</fpage>.<pub-id pub-id-type="pmid">27195800</pub-id>
</mixed-citation></ref><ref id="R15"><label>15.</label><mixed-citation publication-type="journal"><name><surname>Msukwa</surname><given-names>MT</given-names></name>, <name><surname>MacLachlan</surname><given-names>EW</given-names></name>, <name><surname>Gugsa</surname><given-names>ST</given-names></name>, <name><surname>Theu</surname><given-names>J</given-names></name>, <name><surname>Namakhoma</surname><given-names>I</given-names></name>, <name><surname>Bangara</surname><given-names>F</given-names></name>, <etal/>
<article-title>Characterising persons diagnosed with HIV as either recent or long-term using a cross-sectional analysis of recent infection surveillance data collected in Malawi from September 2019 to March 2020</article-title>. <source>BMJ open</source>. <year>2022</year>;<volume>12</volume>(<issue>9</issue>):<fpage>e064707</fpage>.</mixed-citation></ref><ref id="R16"><label>16.</label><mixed-citation publication-type="journal"><name><surname>Han</surname><given-names>WM</given-names></name>, <name><surname>Law</surname><given-names>MG</given-names></name>, <name><surname>Egger</surname><given-names>M</given-names></name>, <name><surname>Wools-Kaloustian</surname><given-names>K</given-names></name>, <name><surname>Moore</surname><given-names>R</given-names></name>, <name><surname>McGowan</surname><given-names>C</given-names></name>, <etal/>
<article-title>Global estimates of viral suppression in children and adolescents and adults on antiretroviral therapy adjusted for missing viral load measurements: a multiregional, retrospective cohort study in 31 countries</article-title>. <source>The lancet HIV</source>. <year>2021</year>;<volume>8</volume>(<issue>12</issue>):<fpage>e766</fpage>&#x02013;<lpage>e75</lpage>.<pub-id pub-id-type="pmid">34856180</pub-id>
</mixed-citation></ref><ref id="R17"><label>17.</label><mixed-citation publication-type="journal"><name><surname>Murenzi</surname><given-names>G</given-names></name>, <name><surname>Kim</surname><given-names>H-Y</given-names></name>, <name><surname>Shi</surname><given-names>Q</given-names></name>, <name><surname>Muhoza</surname><given-names>B</given-names></name>, <name><surname>Munyaneza</surname><given-names>A</given-names></name>, <name><surname>Kubwimana</surname><given-names>G</given-names></name>, <etal/>
<article-title>Association between time to antiretroviral therapy and loss to care among newly diagnosed Rwandan people living with human immunodeficiency virus</article-title>. <source>AIDS Research and Human Retroviruses</source>. <year>2023</year>;<volume>39</volume>(<issue>5</issue>):<fpage>253</fpage>&#x02013;<lpage>61</lpage>.<pub-id pub-id-type="pmid">36800896</pub-id>
</mixed-citation></ref><ref id="R18"><label>18.</label><mixed-citation publication-type="journal"><name><surname>Chihana</surname><given-names>R</given-names></name>, <name><surname>Katumbi</surname><given-names>C</given-names></name>, <name><surname>Dadabhai</surname><given-names>S</given-names></name>, <name><surname>Kaumba</surname><given-names>A</given-names></name>, <name><surname>Mughogho</surname><given-names>A</given-names></name>, <name><surname>Singano</surname><given-names>V</given-names></name>, <etal/>
<article-title>Near-universal same-day linkage to ART care among newly diagnosed adults living with HIV: A cross-sectional study from primary health facilities, in urban Malawi</article-title>. <source>PLOS Global Public Health</source>. <year>2023</year>;<volume>3</volume>(<issue>6</issue>):<fpage>e0001436</fpage>.<pub-id pub-id-type="pmid">37327206</pub-id>
</mixed-citation></ref><ref id="R19"><label>19.</label><mixed-citation publication-type="journal"><name><surname>Ross</surname><given-names>J</given-names></name>, <name><surname>Brazier</surname><given-names>E</given-names></name>, <name><surname>Fatti</surname><given-names>G</given-names></name>, <name><surname>Jaquet</surname><given-names>A</given-names></name>, <name><surname>Tanon</surname><given-names>A</given-names></name>, <name><surname>Haas</surname><given-names>A</given-names></name>, <etal/>
<article-title>Same-day ART initiation as a predictor of loss to follow-up and viral suppression among people living with HIV in sub-Saharan Africa</article-title>. <source>Clinical infectious diseases</source>. <year>2023</year>;<volume>76</volume>(<issue>1</issue>):<fpage>39</fpage>&#x02013;<lpage>47</lpage>.<pub-id pub-id-type="pmid">36097726</pub-id>
</mixed-citation></ref><ref id="R20"><label>20.</label><mixed-citation publication-type="journal"><name><surname>Govere</surname><given-names>SM</given-names></name>, <name><surname>Kalinda</surname><given-names>C</given-names></name>, <name><surname>Chimbari</surname><given-names>MJ</given-names></name>. <article-title>The impact of same-day antiretroviral therapy initiation on retention in care and clinical outcomes at four eThekwini clinics, KwaZulu-Natal, South Africa</article-title>. <source>BMC Health Services Research</source>. <year>2023</year>;<volume>23</volume>(<issue>1</issue>):<fpage>838</fpage>.<pub-id pub-id-type="pmid">37553685</pub-id>
</mixed-citation></ref><ref id="R21"><label>21.</label><mixed-citation publication-type="journal"><name><surname>Ross</surname><given-names>J</given-names></name>, <name><surname>Ribakare</surname><given-names>M</given-names></name>, <name><surname>Remera</surname><given-names>E</given-names></name>, <name><surname>Murenzi</surname><given-names>G</given-names></name>, <name><surname>Munyaneza</surname><given-names>A</given-names></name>, <name><surname>Hoover</surname><given-names>DR</given-names></name>, <etal/>
<article-title>High levels of viral load monitoring and viral suppression under Treat All in Rwanda&#x02013;a cross-sectional study</article-title>. <source>Journal of the International AIDS Society</source>. <year>2020</year>;<volume>23</volume>(<issue>6</issue>):<fpage>e25543</fpage>.<pub-id pub-id-type="pmid">32536033</pub-id>
</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>FIGURE 1.</label><caption><title>Analytic population of persons newly diagnosed with HIV and initiated on antiretroviral therapy (ART) with 6-month follow-up VL, Rwanda 2021&#x02013;2022</title></caption><graphic xlink:href="nihms-2146869-f0001" position="float"/></fig><fig position="float" id="F2"><label>FIGURE 2.</label><caption><title>VL suppression at 6-months follow-up by recent infection testing algorithm (RITA) classification status (n=1051), Rwanda 2021&#x02013;2022</title></caption><graphic xlink:href="nihms-2146869-f0002" position="float"/></fig><fig position="float" id="F3"><label>FIGURE 3:</label><caption><title>Boxplot<xref rid="P23" ref-type="other">*</xref> of distribution log<sub>10</sub>VL (A) and change in log <sub>10</sub>VL (B), among newly diagnosed persons with unsuppressed VL at 6-months follow-up by recent infection testing algorithm (RITA) classification (n=66), Rwanda 2021&#x02013;2022</title><p id="P23">*The box edges represent the first quartile (left edge) and third quartile (right edge) of the VL (VL) values; the line within the box represents the median of the VL values; the lines extending from the box represent the minimum and maximum values; the diamond represents the mean of the VL values; the individual shaded circles represent individual VL values</p></caption><graphic xlink:href="nihms-2146869-f0003" position="float"/></fig><fig position="float" id="F4"><label>FIGURE 4.</label><caption><title>Forest plot of adjusted<xref rid="P24" ref-type="other">*</xref> risk ratios and 95% confidence intervals for viral suppression at 6-months follow-up (n=1051), Rwanda 2021&#x02013;2022</title><p id="P24">*Models for each variable as an exposure were adjusted for age, sex, baseline VL, and ART regimen.</p></caption><graphic xlink:href="nihms-2146869-f0004" position="float"/></fig><table-wrap position="float" id="T1"><label>TABLE 1.</label><caption><p id="P25">Baseline characteristics of newly diagnosed persons initiating antiretroviral therapy (ART), overall and by recent infection testing algorithm (RITA) classification (n=1051), Rwanda 2021&#x02013;2022</p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th align="left" valign="top" rowspan="1" colspan="1">Overall<break/>N = 1051</th><th align="left" valign="top" rowspan="1" colspan="1">RITA-recent<break/>N = 87 (8%)</th><th align="left" valign="top" rowspan="1" colspan="1">RITA-long term<break/>N = 964 (92%)</th><th align="left" valign="top" rowspan="1" colspan="1">p-value</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age (years), median (interquartile range [IQR])</td><td align="left" valign="top" rowspan="1" colspan="1">31 (26&#x02013;38)</td><td align="left" valign="top" rowspan="1" colspan="1">29 (23&#x02013;35)</td><td align="left" valign="top" rowspan="1" colspan="1">32 (26&#x02013;39)</td><td align="left" valign="top" rowspan="1" colspan="1">0.002</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Age &#x0003c; 30</td><td align="left" valign="top" rowspan="1" colspan="1">417 (40%)</td><td align="left" valign="top" rowspan="1" colspan="1">49 (56%)</td><td align="left" valign="top" rowspan="1" colspan="1">368 (38%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.001</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Age &#x02265; 30</td><td align="left" valign="top" rowspan="1" colspan="1">634 (60%)</td><td align="left" valign="top" rowspan="1" colspan="1">38 (44%)</td><td align="left" valign="top" rowspan="1" colspan="1">596 (62%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.001</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Sex, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Female</td><td align="left" valign="top" rowspan="1" colspan="1">685 (65%)</td><td align="left" valign="top" rowspan="1" colspan="1">68 (78%)</td><td align="left" valign="top" rowspan="1" colspan="1">617 (64%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.01</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Male</td><td align="left" valign="top" rowspan="1" colspan="1">366 (35%)</td><td align="left" valign="top" rowspan="1" colspan="1">19 (22%)</td><td align="left" valign="top" rowspan="1" colspan="1">347 (36%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.01</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Marital status, n, (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Single</td><td align="left" valign="top" rowspan="1" colspan="1">302 (29%)</td><td align="left" valign="top" rowspan="1" colspan="1">31 (36%)</td><td align="left" valign="top" rowspan="1" colspan="1">271 (28%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.14</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Married/cohabiting</td><td align="left" valign="top" rowspan="1" colspan="1">551 (52%)</td><td align="left" valign="top" rowspan="1" colspan="1">41 (47%)</td><td align="left" valign="top" rowspan="1" colspan="1">510 (53%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.30</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Widowed</td><td align="left" valign="top" rowspan="1" colspan="1">48 (5%)</td><td align="left" valign="top" rowspan="1" colspan="1">2 (2%)</td><td align="left" valign="top" rowspan="1" colspan="1">46 (5%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.42</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Divorced/separated</td><td align="left" valign="top" rowspan="1" colspan="1">150 (14%)</td><td align="left" valign="top" rowspan="1" colspan="1">13 (15%)</td><td align="left" valign="top" rowspan="1" colspan="1">137 (14%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.85</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Pregnancy status, n (%)<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Yes</td><td align="left" valign="top" rowspan="1" colspan="1">199 (29%)</td><td align="left" valign="top" rowspan="1" colspan="1">23 (34%)</td><td align="left" valign="top" rowspan="1" colspan="1">176 (29%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.4</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">No</td><td align="left" valign="top" rowspan="1" colspan="1">484 (71%)</td><td align="left" valign="top" rowspan="1" colspan="1">45 (66%)</td><td align="left" valign="top" rowspan="1" colspan="1">439 (71%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Employment status, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Employed</td><td align="left" valign="top" rowspan="1" colspan="1">587 (56%)</td><td align="left" valign="top" rowspan="1" colspan="1">45 (52%)</td><td align="left" valign="top" rowspan="1" colspan="1">542 (56%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.5</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Unemployed</td><td align="left" valign="top" rowspan="1" colspan="1">464 (44%)</td><td align="left" valign="top" rowspan="1" colspan="1">42 (48%)</td><td align="left" valign="top" rowspan="1" colspan="1">422 (44%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Time to ART initiation (in days), median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0, 1.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0, 0.5)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0, 1.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Initial ART regimen, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">ABC+3TC+DTG</td><td align="left" valign="top" rowspan="1" colspan="1">36 (3%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (1.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">35 (3.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.3</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">TDF+3TC+DTG</td><td align="left" valign="top" rowspan="1" colspan="1">1014 (96%)</td><td align="left" valign="top" rowspan="1" colspan="1">86 (99%)</td><td align="left" valign="top" rowspan="1" colspan="1">928 (96%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.4</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Other</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0%)</td><td align="left" valign="top" rowspan="1" colspan="1">1 (0.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">1.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">VL (VL) (log<sub>10</sub> copies / mL), median (IQR)</td><td align="left" valign="top" rowspan="1" colspan="1">4.4 (3.8, 5.1)</td><td align="left" valign="top" rowspan="1" colspan="1">4.4 (3.8, 5.4)</td><td align="left" valign="top" rowspan="1" colspan="1">4.4 (3.8, 5.0)</td><td align="left" valign="top" rowspan="1" colspan="1">0.9</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">&#x0003c;4 log<sub>10</sub> copies/mL</td><td align="left" valign="top" rowspan="1" colspan="1">342 (33%)</td><td align="left" valign="top" rowspan="1" colspan="1">31 (36%)</td><td align="left" valign="top" rowspan="1" colspan="1">311 (32%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.6</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">&#x02265;4 log<sub>10</sub> copies/mL</td><td align="left" valign="top" rowspan="1" colspan="1">709 (67%)</td><td align="left" valign="top" rowspan="1" colspan="1">56 (64%)</td><td align="left" valign="top" rowspan="1" colspan="1">653 (68%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">World Health Organization (WHO) clinical stage, n (%)</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Stage I</td><td align="left" valign="top" rowspan="1" colspan="1">919 (87%)</td><td align="left" valign="top" rowspan="1" colspan="1">79 (91%)</td><td align="left" valign="top" rowspan="1" colspan="1">840 (87%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.4</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Stage II</td><td align="left" valign="top" rowspan="1" colspan="1">92 (9%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (4.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">88 (9.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.2</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Stage III</td><td align="left" valign="top" rowspan="1" colspan="1">34 (3%)</td><td align="left" valign="top" rowspan="1" colspan="1">4 (4.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">30 (3.1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0.7</td></tr><tr><td align="right" valign="top" rowspan="1" colspan="1">Stage IV</td><td align="left" valign="top" rowspan="1" colspan="1">6 (1%)</td><td align="left" valign="top" rowspan="1" colspan="1">0 (0%)</td><td align="left" valign="top" rowspan="1" colspan="1">6 (0.6%)</td><td align="left" valign="top" rowspan="1" colspan="1">1.0</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P26">Pregnancy status was limited to female participants and was missing for two participants</p></fn></table-wrap-foot></table-wrap></floats-group></article>