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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1736328</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Effect of rapid antiretroviral therapy initiation on loss to follow-up, mortality, and virologic failure among people with human immunodeficiency virus under the treat-all policy in China: analysis of routine data</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Jin</surname><given-names>Juan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Pan</surname><given-names>Songnan</given-names></name>
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<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Jing</surname><given-names>Xinyan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Ba</surname><given-names>Huanhuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname><given-names>Yuan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Jiajia</given-names></name>
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<contrib contrib-type="author">
<name><surname>Yin</surname><given-names>Jinling</given-names></name>
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<contrib contrib-type="author">
<name><surname>Luo</surname><given-names>Peipei</given-names></name>
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<contrib contrib-type="author">
<name><surname>Hou</surname><given-names>Haohua</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Ma</surname><given-names>Kangxiao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2891853/overview"/>
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<aff id="aff1"><label>1</label><institution>Department of Infectious Diseases, Xi&#x2019;an Eighth&#x2019;s Hospital</institution>, <city>Xi&#x2019;an</city>, <state>Shaanxi</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Infectious Diseases, Infectious Disease Hospital of Heilongjiang Province</institution>, <city>Harbin</city>, <state>Heilongjiang</state>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Kangxiao Ma, <email xlink:href="mailto:kbdmzjj@163.com">kbdmzjj@163.com</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-13">
<day>13</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1736328</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>15</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Jin, Pan, Jing, Ba, Zhang, Li, Yin, Luo, Hou and Ma.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Jin, Pan, Jing, Ba, Zhang, Li, Yin, Luo, Hou and Ma</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-13">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objectives</title>
<p>Since 2016, China has provided timely HIV antiretroviral therapy (ART) under the treat-all policy. This study aimed to evaluate the impact of rapid ART initiation (&#x2264;7 days post-HIV diagnosis) on loss to follow-up (LTFU), mortality, and virologic failure compared with that of delayed ART. </p>
</sec>
<sec>
<title>Methods</title>
<p>This study included adults with ART-naive HIV infection in Xi&#x2019;an, China, between 2016 and 2022. Kaplan&#x2013;Meier analysis was used to examine LTFU and death time for rapid and delayed ART initiation. Moreover, multivariate Cox regression was employed to evaluate the correlation between rapid ART initiation and LTFU/mortality, while logistic regression was utilized to assess the association between rapid ART and 12-month virologic failure. </p>
</sec>
<sec>
<title>Results</title>
<p>Of the 6992 participants, 770 (11.0%) initiated ART &#x2264;7 days postdiagnosis. The percent of ART initiations in the first week postdiagnosis quadrupled from 4.2% in 2016 to 19.7% in 2022. The LTFU rate for rapid ART initiators was comparable to that in the 8&#x2013;29- (<italic>P</italic> = 0.132) and &#x2265;30-day groups (<italic>P</italic> = 0.432). Mortality was notably decreased in the rapid ART group (0.0%) than in the 8&#x2013;29- (1.5%) and &#x2265;30-day groups (2.2%). The rapid ART initiators demonstrated lower odds of developing virologic failure compared with delayed ART initiators (aOR: 0.50; 95% CI: 0.26&#x2013;0.89; <italic>P</italic> = 0.028; &#x2264;7 days versus &#x2265;30 days). </p>
</sec>
<sec>
<title>Conclusions</title>
<p>Under China&#x2019;s treat-all policy, rapid ART initiation showed equivalent LTFU but lower mortality and virologic failure. Chinese HIV patients may benefit from rapidly ART, but they require more intensive, tailored counseling to remain in treatment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>antiretroviral therapy</kwd>
<kwd>China</kwd>
<kwd>HIV</kwd>
<kwd>loss to follow-up</kwd>
<kwd>mortality</kwd>
<kwd>rapid initiation</kwd>
<kwd>virologic failure</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="31"/>
<page-count count="10"/>
<word-count count="4412"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Over the past 20 years, antiretroviral therapy (ART) has proven a critical component in fighting against the human immunodeficiency virus (HIV) pandemic, which causes the acquired immunodeficiency syndrome (AIDS). Increased usage of ART has significantly declined AIDS-associated mortality and morbidity, in addition to reduced HIV transmission (<xref ref-type="bibr" rid="B11">Hou et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B26">Weiser et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B6">Broyles et&#xa0;al., 2023</xref>). China has experienced a dramatic growth in the number of people with HIV (PWH), who receive free government-sponsored ART since the National Free Antiretroviral Treatment Program (NFATP) was launched in 2003 (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2020</xref>). By the end of 2020, 92.9% of the 1.05 million PWH in China were receiving ART (<xref ref-type="bibr" rid="B10">He, 2021</xref>). The World Health Organization (WHO) recommended a &#x201c;treat-all&#x201d; (universal test and treat) policy for all PWH in 2015, enabling all PWH to receive ART irrespective of their CD4 count (<xref ref-type="bibr" rid="B15">Labhardt et&#xa0;al., 2023</xref>). Subsequent clinical trial studies on same-day and rapid ART resulted in new WHO guidelines in 2017, recommending that PWH without signs of opportunistic infections should begin ART &#x2264;7 days or on the same day post-HIV diagnosis (<xref ref-type="bibr" rid="B4">Amanyire et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B23">Rosen et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B8">Committee, W.G.R, 2017</xref>).</p>
<p>In 2016, China implemented a treat-all policy, recommending early initiation of ART upon diagnosis voluntarily (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2020</xref>), and launched several programs to accelerate ART initiation, improve care retention via enlarged diagnostics and therapies, and enhance the care cascade (<xref ref-type="bibr" rid="B30">Zhao et&#xa0;al., 2019</xref>). The Chinese guidelines updated in 2021 recommend the rapid ART initiation or same-day ART (<xref ref-type="bibr" rid="B3">Aids et&#xa0;al., 2021</xref>). Although the original WHO recommendation was predominantly derived from randomized trial outcomes, the extensive implementation of rapid ART offers a number of observational studies to evaluate the practical consequences of this strategy. While same-day and rapid ART clearly increase treatment uptake and shorten time to viral suppression, their effects on longer-term engagement in care&#x2014;particularly retention and virologic failure&#x2014;remain mixed and are not yet fully understood, especially beyond the first year of treatment (<xref ref-type="bibr" rid="B1">Agroia et&#xa0;al., 2025</xref>; <xref ref-type="bibr" rid="B9">Duggan et&#xa0;al., 2025</xref>). Extensive cohort studies conducted in China from 2011 to 2015 revealed that immediate ART (&#x2264;30 days postdiagnosis) among PWH was associated with a remarkable decrease in overall mortality as well as a marked decrease in treatment dropout and virologic failure (<xref ref-type="bibr" rid="B31">Zhao et&#xa0;al., 2018</xref>, <xref ref-type="bibr" rid="B30">2019</xref>). In contrast to the Chinese study results and former randomized trial outcomes, some observational studies&#x2014;often conducted in different settings or with distinct populations&#x2014;have reported that same-day ART correlates with poorer rates of virologic suppression or post-ART engagement in care. These findings may reflect contextual challenges such as health system readiness, patient preparedness, or follow-up support rather than the inherent value of rapid ART (<xref ref-type="bibr" rid="B12">Joseph Davey et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B13">Kerschberger et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B24">Ross et&#xa0;al., 2023</xref>). After implementing the national &#x201c;treat-all&#x201d; policies, most studies on rapid ART involve randomized trials and observational studies conducted in Africa (<xref ref-type="bibr" rid="B15">Labhardt et&#xa0;al., 2023</xref>). Reaching regional epidemic control targets requires a better understanding of whether rapid ART affects clinical outcomes under the treat-all policy in China. Although prior studies in China have examined rapid ART in controlled or shorter-term settings, there remains a gap in understanding its real-world, longer-term impact on loss to follow-up (LTFU), mortality, and virologic failure under the treat-all policy in a large urban cohort over a multi-year period (<xref ref-type="bibr" rid="B28">Wu et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B25">Wang et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B29">Xia et&#xa0;al., 2024</xref>). Such real-world evidence is required to translate clinical trial results into complicated medical systems and guide the development of interventions to assist policy implementation procedures. Therefore, we investigated the association between rapid ART initiation and LTFU, mortality, and virologic failure in PWH recruited from a large real-world HIV/AIDS cohort in Xi&#x2019;an, China.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study population and data collection</title>
<p>This retrospective observational study included newly diagnosed HIV-positive adults with records of their first ART initiated between June 2016 (when China adopted the treat-all policy for all PWH) and December 2022 in Xi&#x2019;an, a megacity in China with a moderate prevalence of HIV (PWH &gt; 10000). The Human Medical Ethics Committee of Xi&#x2019;an Eighth Hospital approved this study as conducted under the Declaration of Helsinki. Each patient provided informed consent during diagnosis to allow clinical research using their clinical records. Exclusion criteria included (1) diagnosis before the nationwide implementation of universal HIV treatment, (2) &lt;18 years old, (3) ART experience, (4) &lt;12 months between enrollment and the latest visit, (5) never initiated ART, and (6) transferred out. Data were collected from the Chinese Centre for Disease Control and Prevention (CDC)&#x2019;s HIV/AIDS Comprehensive Response Information Management System (<xref ref-type="bibr" rid="B17">Mao et&#xa0;al., 2010</xref>) and electronic medical records of the hospital. We obtained data on sex, age, marital status, HIV diagnosis dates, transmission routes, entry to HIV care, viral load, CD4 count, ART prescription date, visit, transfer to other cities, and death. Participants were categorized based on the date of ART initiation following HIV diagnosis: &#x2264;7, 8&#x2013;29, and &#x2265;30 days.</p>
</sec>
<sec id="s2_2">
<title>Outcome measures</title>
<p>Rapid ART initiation was defined as ART initiation &#x2264;7 days postdiagnosis, consistent with WHO guidelines and operational research definitions (<xref ref-type="bibr" rid="B27">WHO, 2017</xref>). The primary outcome was LTFU at 12 months after enrollment, defined as having no documented interaction with healthcare facilities for &gt;90 consecutive days before the 12-month mark, among those who had not died or been transferred out (<xref ref-type="bibr" rid="B20">Onoya et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">Kimanga et&#xa0;al., 2022</xref>). The secondary outcome was all-cause mortality. Additionally, we evaluated 12-month virologic failure (defined as viral load &#x2265;200 copies/mL at the first annual test post-ART initiation) as a tertiary outcome.</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>All analyses were performed using version 26.0 of the Statistical Package for the Social Sciences (SPSS, Chicago, IL). Kruskal&#x2013;Wallis tests were utilized to examine differences in medians, whereas chi-square tests were utilized to evaluate differences in categorical variables. For time-to-event studies, the follow-up time was assessed in days from the start of ART to the final follow-up. Furthermore, the Kaplan&#x2013;Meier method was performed to determine the LTFU/death time and compare the timing of ART initiation. We assessed the risk of LTFU and death &#x2264;12 months after HIV diagnosis using Cox regression models. The hazard ratio (HR) and adjusted HR (aHR) were reported with 95% confidence intervals (CI). We estimated the risks of virologic failure using multivariate logistic regression models, yielding odds ratio (OR), adjusted OR (aOR), and 95% CI. All <italic>P</italic>-values are two-sided, where <italic>P</italic>-values of &lt;0.05 indicate statistical significance.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Participant characteristics</title>
<p>This study included 6992 participants (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). Of these, 770 (11.0%), 3031 (43.4%), and 3191 (45.6%) have initiated ART in &#x2264;7, 8&#x2013;29, and &#x2265;30 days postdiagnosis. The median times between being diagnosed with HIV and ART initiation for the three groups were 6 (interquartile range [IQR]: 5&#x2013;7), 19 (IQR: 14&#x2013;23), and 71 days (IQR: 42&#x2013;238, data not shown), respectively. The rapid ART initiators were predominantly male (92.9% rapid ART) and aged 30&#x2013;49 years (53.0% rapid ART). Additionally, 24.2% of individuals aged &#x2265;50 years initiated ART &#x2264;7 days postdiagnosis, followed by those in the 18&#x2013;29 age group. During enrollment, the median baseline CD4 count was similar among rapid ART (289 cells/&#x3bc;L, IQR: 139&#x2013;413) and 8&#x2013;29-day groups (IQR: 158&#x2013;422) but lower than the &#x2265;30-day group (311 cells/&#x3bc;L, IQR: 156&#x2013;460). Moreover, 16.2% of the rapid initiators&#x2019; baseline CD4 count were &#x2265;500 cells/&#x3bc;L, similar to the 8&#x2013;29-day group (16.0%) but lower than the &#x2265;30-day group (19.4%). Approximately two-thirds (69.9%) of the rapid ART initiators acquired HIV through homosexual contact, and nearly half (53.0%) were single. People who quickly initiated ART (32.5%) were more likely to select an INSTI-based regimen than those who did at 8&#x2013;29 (17.6%) or &#x2265;30 (19.1%) days. The percentage of ART initiations during the first week postdiagnosis increased significantly, more than quadrupling from 4.2% to 19.7% of all initiations, between 2016 and 2022 (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Participant characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variables</th>
<th valign="middle" align="center">Total (n = 6992)</th>
<th valign="middle" align="center">&#x2264;7 days ART (n = 770)</th>
<th valign="middle" align="center">8&#x2013;29 days ART (n = 3031)</th>
<th valign="middle" align="center">&#x2265;30 days ART (<italic>n</italic> = 3191)</th>
<th valign="middle" align="center">Statistic</th>
<th valign="middle" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Sex, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">497 (7.1)</td>
<td valign="middle" align="center">56 (7.3)</td>
<td valign="middle" align="center">201 (6.6)</td>
<td valign="middle" align="center">240 (7.5)</td>
<td valign="middle" align="center">1.899</td>
<td valign="middle" align="center">0.387</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="center">6495 (92.9)</td>
<td valign="middle" align="center">714 (92.7)</td>
<td valign="middle" align="center">2830 (93.4)</td>
<td valign="middle" align="center">2951 (92.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Age at Enrollment (years), <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Median (IQR)</td>
<td valign="middle" align="center">38 [31, 50]</td>
<td valign="middle" align="center">37 [30, 49]</td>
<td valign="middle" align="center">39 [32, 52]</td>
<td valign="middle" align="center">37 [31, 49]</td>
<td valign="middle" align="center">27.191</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18-29</td>
<td valign="middle" align="center">1345 (19.3)</td>
<td valign="middle" align="center">176 (22.9)</td>
<td valign="middle" align="center">572 (18.9)</td>
<td valign="middle" align="center">597 (18.7)</td>
<td valign="middle" align="center">31.362</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;30-49</td>
<td valign="middle" align="center">3806 (54.4)</td>
<td valign="middle" align="center">408 (53.0)</td>
<td valign="middle" align="center">1573 (51.9)</td>
<td valign="middle" align="center">1825 (57.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;50</td>
<td valign="middle" align="center">1841 (26.3)</td>
<td valign="middle" align="center">186 (24.2)</td>
<td valign="middle" align="center">886 (29.2)</td>
<td valign="middle" align="center">769 (24.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Enrollment CD4, (cells/&#x3bc;L), <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Median (IQR)</td>
<td valign="middle" align="center">297 [156, 439]</td>
<td valign="middle" align="center">289 [139, 413]</td>
<td valign="middle" align="center">288 [158, 422]</td>
<td valign="middle" align="center">311 [156, 460]</td>
<td valign="middle" align="center">16.575</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;200</td>
<td valign="middle" align="center">2216 (31.7)</td>
<td valign="middle" align="center">258 (33.5)</td>
<td valign="middle" align="center">969 (32.0)</td>
<td valign="middle" align="center">989 (31.0)</td>
<td valign="middle" align="center">14.536</td>
<td valign="middle" align="center">0.006</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;200&#x2013;499</td>
<td valign="middle" align="center">3546 (50.7)</td>
<td valign="middle" align="center">387 (50.3)</td>
<td valign="middle" align="center">1577 (52.0)</td>
<td valign="middle" align="center">1582 (49.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;500</td>
<td valign="middle" align="center">1230 (17.6)</td>
<td valign="middle" align="center">125 (16.2)</td>
<td valign="middle" align="center">485 (16.0)</td>
<td valign="middle" align="center">620 (19.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Transmission route, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Homosexual</td>
<td valign="middle" align="center">4714 (67.4)</td>
<td valign="middle" align="center">538 (69.9)</td>
<td valign="middle" align="center">2092 (69.0)</td>
<td valign="middle" align="center">2084 (65.3)</td>
<td valign="middle" align="center">50.563</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Heterosexual</td>
<td valign="middle" align="center">2049 (29.3)</td>
<td valign="middle" align="center">217 (28.2)</td>
<td valign="middle" align="center">857 (28.3)</td>
<td valign="middle" align="center">975 (30.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Injection drug use</td>
<td valign="middle" align="center">63 (0.9)</td>
<td valign="middle" align="center">3 (0.4)</td>
<td valign="middle" align="center">6 (0.2)</td>
<td valign="middle" align="center">54 (1.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="center">166 (2.4)</td>
<td valign="middle" align="center">12 (1.6)</td>
<td valign="middle" align="center">76 (2.5)</td>
<td valign="middle" align="center">78 (2.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Marital status, <italic>n</italic> (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="center">3566 (51.0)</td>
<td valign="middle" align="center">408 (53.0)</td>
<td valign="middle" align="center">1443 (47.6)</td>
<td valign="middle" align="center">1715 (53.7)</td>
<td valign="middle" align="center">31.240</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married/cohabiting</td>
<td valign="middle" align="center">2412 (34.5)</td>
<td valign="middle" align="center">239 (31.0)</td>
<td valign="middle" align="center">1147 (37.8)</td>
<td valign="middle" align="center">1026 (32.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced/widowed</td>
<td valign="middle" align="center">1014 (14.5)</td>
<td valign="middle" align="center">123 (16.0)</td>
<td valign="middle" align="center">441 (14.5)</td>
<td valign="middle" align="center">450 (14.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Initial ART regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NNRTI-based</td>
<td valign="middle" align="center">5438 (77.8)</td>
<td valign="middle" align="center">505 (65.6)</td>
<td valign="middle" align="center">2439 (80.5)</td>
<td valign="middle" align="center">2494 (78.2)</td>
<td valign="middle" align="center">92.317</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PI-based</td>
<td valign="middle" align="center">162 (2.3)</td>
<td valign="middle" align="center">15 (1.9)</td>
<td valign="middle" align="center">60 (2.0)</td>
<td valign="middle" align="center">87 (2.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;INSTI-based</td>
<td valign="middle" align="center">1392 (19.9)</td>
<td valign="middle" align="center">250 (32.5)</td>
<td valign="middle" align="center">532 (17.6)</td>
<td valign="middle" align="center">610 (19.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>ART</italic>, antiretroviral therapy; <italic>IQR</italic>, interquartile ranges; <italic>NNRTI</italic>, non-nucleoside reverse transcriptase inhibitor; <italic>PI</italic>, protease inhibitor; <italic>INSTI</italic>, integrase inhibitor.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Trends in ART initiation after HIV diagnosis from June 2016 to December 2022. <italic>ART</italic> antiretroviral therapy, <italic>HIV</italic> human immunodeficiency virus.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1736328-g001.tif">
<alt-text content-type="machine-generated">Stacked bar chart showing the percent of ART initiation by year from 2016 to 2022, categorized by initiation time: &#x2264;7 days (pink), 8-29 days (green), and &#x2265;30 days (blue). Each bar displays the percentage for these intervals, with notable increases in the &#x2264;7 days category over time.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<title>Loss to follow-up</title>
<p>LTFU was detected in 152 (2.2%) PWH 12 months following enrollment, with a median duration to LTFU of 122 days (IQR: 69-250). LTFU consisted of 2.3% (<italic>n</italic> = 18) of individuals taking rapid ART following a median duration of 55 days (IQR: 25&#x2013;277). Delayed initiators demonstrated a longer median duration to LTFU of 164 (IQR: 75&#x2013;278) and 116 days (IQR: 88&#x2013;243) for the 8&#x2013;29-day and &#x2265;30-day groups (data not shown), respectively.</p>
<p>The Kaplan&#x2013;Meier analysis revealed comparable LTFU rates for rapid ART initiators to that in the 8&#x2013;29- (<italic>P</italic> = 0.132) and &#x2265;30-day groups (<italic>P</italic> = 0.432, <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). However, the LTFU rate in the 8&#x2013;29-day group was considerably reduced compared to the &#x2265;30-day group (<italic>P</italic> = 0.001). The multivariate Cox regression analysis showed that the 8&#x2013;29-day group had a lower risk of LTFU (aHR: 0.50; 95% CI: 0.34&#x2013;0.71; <italic>P</italic> &lt; 0.001; 8&#x2013;29 vs. &#x2265;30 days) controlling for age, sex, enrollment CD4 count, transmission route, marital status, and initial ART regimen (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The hazard of LTFU was greater among people with an unknown transmission route (aHR: 2.40; 95% CI: 1.37&#x2013;4.18; <italic>P</italic> = 0.002; unknown vs. homosexual), and those &#x2265;50 years (aHR: 2.75; 95% CI: 1.43&#x2013;5.27; <italic>P</italic> = 0.002) versus those aged 18&#x2013;29 years.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan&#x2013;Meier analysis of loss to follow-up <bold>(A)</bold> and mortality <bold>(B)</bold> stratified by ART initiation postdiagnosis timing (&#x2264;7, 8&#x2013;29, and &#x2265;30 days). <italic>ART</italic> antiretroviral therapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1736328-g002.tif">
<alt-text content-type="machine-generated">Two Kaplan-Meier survival plots labeled A and B. Plot A shows the probability of loss to follow-up over time for three groups: less than or equal to seven days, eight to twenty-nine days, and thirty days or more, with significant differences (P &lt; 0.001). Plot B depicts the probability of death over the same groups and time frame, also significant (P &lt; 0.001). Each plot includes a graph legend, risk table, and corresponding log-rank P-values in an embedded table, highlighting the comparisons between groups.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Cox regression for loss to follow-up.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Characteristics</th>
<th valign="middle" colspan="2" align="left">Univariate</th>
<th valign="middle" colspan="2" align="left">Multivariate</th>
</tr>
<tr>
<th valign="middle" align="left">HR (95% CI)</th>
<th valign="middle" align="left"><italic>P</italic></th>
<th valign="middle" align="left">aHR (95% CI)</th>
<th valign="middle" align="left"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">ART initiation group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;30 days</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;8&#x2013;29 days</td>
<td valign="middle" align="left">0.51 (0.35, 0.73)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.50 (0.34, 0.71)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;7 days</td>
<td valign="middle" align="left">0.82 (0.49, 1.35)</td>
<td valign="middle" align="left">0.432</td>
<td valign="middle" align="left">0.85 (0.51, 1.41)</td>
<td valign="middle" align="left">0.518</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">0.97 (0.53, 1.8)</td>
<td valign="middle" align="left">0.934</td>
<td valign="middle" align="left">1.38 (0.71, 2.67)</td>
<td valign="middle" align="left">0.344</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age at enrollment (years)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18&#x2013;29</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;30&#x2013;49</td>
<td valign="middle" align="left">1.03 (0.64, 1.66)</td>
<td valign="middle" align="left">0.892</td>
<td valign="middle" align="left">1.09 (0.66, 1.80)</td>
<td valign="middle" align="left">0.728</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;50</td>
<td valign="middle" align="left">2.04 (1.26, 3.29)</td>
<td valign="middle" align="left">0.004</td>
<td valign="middle" align="left">2.75 (1.43, 5.27)</td>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Enrollment CD4, (cells/&#x3bc;L)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;200</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;200&#x2013;499</td>
<td valign="middle" align="left">0.7 (0.49, 0.99)</td>
<td valign="middle" align="left">0.041</td>
<td valign="middle" align="left">0.76 (0.54, 1.09)</td>
<td valign="middle" align="left">0.134</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;500</td>
<td valign="middle" align="left">0.67 (0.41, 1.08)</td>
<td valign="middle" align="left">0.100</td>
<td valign="middle" align="left">0.74 (0.45, 1.21)</td>
<td valign="middle" align="left">0.226</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Transmission route</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Homosexual</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Heterosexual</td>
<td valign="middle" align="left">1.32 (0.93, 1.85)</td>
<td valign="middle" align="left">0.118</td>
<td valign="middle" align="left">1.30 (0.90, 1.90)</td>
<td valign="middle" align="left">0.166</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Injection drug use</td>
<td valign="middle" align="left">2.51 (0.79, 7.93)</td>
<td valign="middle" align="left">0.117</td>
<td valign="middle" align="left">1.44 (0.45, 4.62)</td>
<td valign="middle" align="left">0.544</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">2.68 (1.3, 5.51)</td>
<td valign="middle" align="left">0.008</td>
<td valign="middle" align="left">2.40 (1.14, 5.03)</td>
<td valign="middle" align="left">0.021</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Marital status</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married/cohabiting</td>
<td valign="middle" align="left">1.2 (0.85, 1.7)</td>
<td valign="middle" align="left">0.302</td>
<td valign="middle" align="left">0.63 (0.39, 1.04)</td>
<td valign="middle" align="left">0.071</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced/widowed</td>
<td valign="middle" align="left">1.2 (0.76, 1.91)</td>
<td valign="middle" align="left">0.434</td>
<td valign="middle" align="left">0.66 (0.37, 1.16)</td>
<td valign="middle" align="left">0.148</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Initial regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NNRTI-based</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PI-based</td>
<td valign="middle" align="left">1.45 (0.59, 3.56)</td>
<td valign="middle" align="left">0.412</td>
<td valign="middle" align="left">1.26 (0.51, 3.09)</td>
<td valign="middle" align="left">0.618</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;INSTI-based</td>
<td valign="middle" align="left">0.92 (0.61, 1.39)</td>
<td valign="middle" align="left">0.687</td>
<td valign="middle" align="left">0.89 (0.58, 1.35)</td>
<td valign="middle" align="left">0.569</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>ART</italic>, antiretroviral therapy; <italic>HR</italic>, hazard ratio; <italic>CI</italic>, confidence intervals; <italic>aHR</italic>, adjusted hazard ratio; <italic>IQR</italic>, interquartile ranges; <italic>NNRTI</italic>, non-nucleoside reverse transcriptase inhibitor; <italic>PI</italic>, protease inhibitor; <italic>INSTI</italic>, integrase inhibitor.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Mortality</title>
<p>Mortality was significantly lower in rapid ART individuals (<italic>n</italic> = 0, 0.0%) compared with those in the 8&#x2013;29- (<italic>n</italic> = 46, 1.5%; <italic>P</italic> = 0.001) and &#x2265;30-day groups (<italic>n</italic> = 69, 2.2%; <italic>P</italic> &lt; 0.001) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). The Cox regression analysis of mortality indicated that the 8&#x2013;29-day group was protective (aHR: 0.62, 95% CI: 0.43&#x2013;0.91, 8&#x2013;29 days vs. &#x2265;30 days) of mortality (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Further, individuals with a higher CD4 count had a decreased risk of death (aHR: 0.15, 95% CI: 0.09&#x2013;0.24, 200&#x2013;499 vs. &lt;200, <italic>P</italic> &lt; 0.001; aHR: 0.10, 95% CI: 0.04&#x2013;0.28, &#x2265;500 vs. &lt;200, <italic>P</italic> &lt; 0.001). The mortality risk was elevated in PWH &#x2265;50 years old (aHR: 4.25, 95% CI: 1.64&#x2013;10.99, <italic>P</italic> = 0.003; vs. those aged 18&#x2013;29 years), with an unknown transmission route (aHR: 2.79; 95% CI: 1.39&#x2013;5.59; <italic>P</italic> = 0.004; unknown vs. homosexual), and those taking a protease inhibitor-containing regimen (aHR: 2.19, 95% CI: 1.05&#x2013;4.05, <italic>P</italic> = 0.036; vs. those taking a nonnucleoside reverse transcriptase inhibitor[NNRTI]-based regimen), postadjustment.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Cox regression for death.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Characteristics</th>
<th valign="middle" colspan="2" align="left">Univariate</th>
<th valign="middle" colspan="2" align="left">Multivariate</th>
</tr>
<tr>
<th valign="middle" align="left">HR (95% CI)</th>
<th valign="middle" align="left"><italic>P</italic></th>
<th valign="middle" align="left">aHR (95% CI)</th>
<th valign="middle" align="left"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">ART initiation group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;30 days</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;8&#x2013;29 days</td>
<td valign="middle" align="left">0.70 (0.48, 1.02)</td>
<td valign="middle" align="left">0.061</td>
<td valign="middle" align="left">0.62 (0.43, 0.91)</td>
<td valign="middle" align="left">0.014</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;7 days</td>
<td valign="middle" align="left">0.00 (0.00, Inf)</td>
<td valign="middle" align="left">0.990</td>
<td valign="middle" align="left">0.00 (0.00, Inf)</td>
<td valign="middle" align="left">0.991</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">0.55 (0.32, 0.97)</td>
<td valign="middle" align="left">0.037</td>
<td valign="middle" align="left">0.98 (0.53, 1.81)</td>
<td valign="middle" align="left">0.942</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age at Enrollment (years)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18&#x2013;29</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;30&#x2013;49</td>
<td valign="middle" align="left">1.87 (0.84, 4.2)</td>
<td valign="middle" align="left">0.128</td>
<td valign="middle" align="left">1.27 (0.54, 2.96)</td>
<td valign="middle" align="left">0.584</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;50</td>
<td valign="middle" align="left">7.53 (3.46, 16.37)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">4.25 (1.64, 10.99)</td>
<td valign="middle" align="left">0.003</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Enrollment CD4, (cells/&#x3bc;L)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;200</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;200&#x2013;499</td>
<td valign="middle" align="left">0.12 (0.07, 0.2)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.15 (0.09, 0.24)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;500</td>
<td valign="middle" align="left">0.08 (0.03, 0.21)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.10 (0.04, 0.28)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Transmission route</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Homosexual</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Heterosexual</td>
<td valign="middle" align="left">1.83 (1.24, 2.7)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">1.26 (0.82, 1.94)</td>
<td valign="middle" align="left">0.286</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Injection drug use</td>
<td valign="middle" align="left">1.28 (0.18, 9.27)</td>
<td valign="middle" align="left">0.804</td>
<td valign="middle" align="left">0.57 (0.08, 4.20)</td>
<td valign="middle" align="left">0.584</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">5.04 (2.58, 9.87)</td>
<td valign="middle" align="left">0.000</td>
<td valign="middle" align="left">2.79 (1.39, 5.59)</td>
<td valign="middle" align="left">0.004</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Marital status</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married/cohabiting</td>
<td valign="middle" align="left">3.08 (1.99, 4.76)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.86 (0.47, 1.57)</td>
<td valign="middle" align="left">0.622</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced/widowed</td>
<td valign="middle" align="left">2.72 (1.58, 4.68)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.91 (0.47, 1.77)</td>
<td valign="middle" align="left">0.782</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Initial regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NNRTI-based</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PI-based</td>
<td valign="middle" align="left">3.3 (1.6, 6.82)</td>
<td valign="middle" align="left">0.001</td>
<td valign="middle" align="left">2.19 (1.05, 4.55)</td>
<td valign="middle" align="left">0.036</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;INSTI-based</td>
<td valign="middle" align="left">1.13 (0.72, 1.78)</td>
<td valign="middle" align="left">0.595</td>
<td valign="middle" align="left">1.00 (0.63, 1.58)</td>
<td valign="middle" align="left">0.998</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>ART</italic>, antiretroviral therapy; <italic>HR</italic>, hazard ratio; <italic>CI</italic>, confidence intervals; <italic>aHR</italic>, adjusted hazard ratio; <italic>IQR</italic>, interquartile ranges; <italic>NNRTI</italic>, non-nucleoside reverse transcriptase inhibitor; <italic>PI</italic>, protease inhibitor; <italic>INSTI</italic>, integrase inhibitor.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Virologic failure</title>
<p>After eliminating those who were LTFU or died, 184 were identified to have virologic failure in this cohort of participants. The virologic failure rates were 2.7% overall (184/6725); 1.6% (12/752), 2.5% (75/2941), and 3.2% (97/3032) in the &#x2264;7-, 8&#x2013;29-, and &#x2265;30-day groups (<italic>P</italic> = 0.054, data not shown), respectively. Logistic regression analysis revealed that rapid ART initiators had lower odds of virologic failure than delayed ART initiators (aOR: 0.50; 95% CI: 0.26&#x2013;0.89; <italic>P</italic> = 0.028; &#x2264;7 days vs. &#x2265;30 days) (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). Lower odds of virologic failure were also seen in people with a higher CD4 count (aOR: 0.27, 95% CI: 0.19&#x2013;0.37, 200&#x2013;499 vs. &lt;200, <italic>P</italic> &lt; 0.001; aOR: 0.26, 95% CI: 0.15&#x2013;0.42, &#x2265;500 vs. &lt;200, <italic>P</italic> &lt; 0.001) and in those taking an integrase inhibitor-based regimen (aOR: 0.55, 95% CI: 0.35&#x2013;0.83, <italic>P</italic> = 0.007; vs those taking an NNRTI-based regimen) after adjustment. Higher odds of virologic failure were revealed among males (aOR: 2.32; 95% CI: 1.11&#x2013;5.67; <italic>P</italic> = 0.039; male vs. female).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Logistic regression for virologic failure.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Characteristics</th>
<th valign="middle" colspan="2" align="left">Univariate</th>
<th valign="middle" colspan="2" align="left">Multivariate</th>
</tr>
<tr>
<th valign="middle" align="left">OR (95% CI)</th>
<th valign="middle" align="left"><italic>P</italic></th>
<th valign="middle" align="left">aOR (95% CI)</th>
<th valign="middle" align="left"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">ART initiation group</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;30 days</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;8&#x2013;29 days</td>
<td valign="middle" align="left">0.81 (0.6, 1.1)</td>
<td valign="middle" align="left">0.175</td>
<td valign="middle" align="left">0.76 (0.56, 1.04)</td>
<td valign="middle" align="left">0.089</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2264;7 days</td>
<td valign="middle" align="left">0.5 (0.28, 0.92)</td>
<td valign="middle" align="left">0.027</td>
<td valign="middle" align="left">0.50 (0.26, 0.89)</td>
<td valign="middle" align="left">0.028</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Sex</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">1.96 (0.92, 4.2)</td>
<td valign="middle" align="left">0.083</td>
<td valign="middle" align="left">2.32 (1.11, 5.67)</td>
<td valign="middle" align="left">0.039</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Age at enrollment (years)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;18&#x2013;29</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;30&#x2013;49</td>
<td valign="middle" align="left">1.55 (0.98, 2.45)</td>
<td valign="middle" align="left">0.060</td>
<td valign="middle" align="left">1.06 (0.65, 1.78)</td>
<td valign="middle" align="left">0.825</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;50</td>
<td valign="middle" align="left">1.97 (1.21, 3.2)</td>
<td valign="middle" align="left">0.006</td>
<td valign="middle" align="left">1.10 (0.60, 2.05)</td>
<td valign="middle" align="left">0.769</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Enrollment CD4, (cells/&#x3bc;L)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;200</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;200&#x2013;499</td>
<td valign="middle" align="left">0.27 (0.2, 0.38)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.27 (0.19, 0.37)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;500</td>
<td valign="middle" align="left">0.26 (0.15, 0.43)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">0.26 (0.15, 0.42)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Transmission route</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Homosexual</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Heterosexual</td>
<td valign="middle" align="left">1.12 (0.81, 1.53)</td>
<td valign="middle" align="left">0.501</td>
<td valign="middle" align="left">1.09 (0.77, 1.52)</td>
<td valign="middle" align="left">0.639</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Injection drug use</td>
<td valign="middle" align="left">1.91 (0.59, 6.19)</td>
<td valign="middle" align="left">0.278</td>
<td valign="middle" align="left">1.49 (0.35, 4.26)</td>
<td valign="middle" align="left">0.518</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Unknown</td>
<td valign="middle" align="left">0.7 (0.22, 2.24)</td>
<td valign="middle" align="left">0.553</td>
<td valign="middle" align="left">0.56 (0.14, 1.54)</td>
<td valign="middle" align="left">0.336</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Marital status</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Single</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Married/cohabiting</td>
<td valign="middle" align="left">1.51 (1.1, 2.09)</td>
<td valign="middle" align="left">0.012</td>
<td valign="middle" align="left">1.26 (0.83, 1.91)</td>
<td valign="middle" align="left">0.271</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Divorced/widowed</td>
<td valign="middle" align="left">1.57 (1.03, 2.37)</td>
<td valign="middle" align="left">0.034</td>
<td valign="middle" align="left">1.26 (0.77, 2.02)</td>
<td valign="middle" align="left">0.347</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Initial ART regimen</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NNRTI-based</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PI-based</td>
<td valign="middle" align="left">0.42 (0.1, 1.71)</td>
<td valign="middle" align="left">0.226</td>
<td valign="middle" align="left">0.32 (0.05, 1.03)</td>
<td valign="middle" align="left">0.116</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;INSTI-based</td>
<td valign="middle" align="left">0.62 (0.4, 0.94)</td>
<td valign="middle" align="left">0.025</td>
<td valign="middle" align="left">0.55 (0.35, 0.83)</td>
<td valign="middle" align="left">0.007</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><italic>ART</italic>, antiretroviral therapy; <italic>OR</italic>, odds ratio; <italic>CI</italic>, confidence intervals; <italic>aOR</italic>, adjusted odds ratio; <italic>IQR</italic>, interquartile ranges; <italic>NNRTI</italic>, non-nucleoside reverse transcriptase inhibitor; <italic>PI</italic>, protease inhibitor; <italic>INSTI</italic>, integrase inhibitor.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>We investigated the relationship between rapid ART initiation and therapeutic outcomes in China from 2016 to 2022 in this retrospective large-scale real-life study. Real-world data on rapid ART initiation are crucial, particularly for validating its benefits and hazards in routine use outside the scope of randomized controlled studies. We noticed a considerable increase in the percent of PWH starting ART rapidly after the treat-all policy was implemented nationally in China, with the percent of rapid ART individuals increasing from 4.2% in 2016 to 19.7% in 2022. Our study revealed that the rapid ART was associated with a comparable risk of LTFU but lower rates of mortality and virologic failure compared with delayed ART initiation.</p>
<p>After adopting the treat-all policy, 90% of individuals within our cohort initiated ART &gt;7 days postdiagnosis, whereas 40% began ART after &gt;30 days. Considerable obstacles persist, especially poor linkage to care, despite China&#x2019;s considerable efforts to improve accessibility to ART via the incremental extension of NFATP (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2020</xref>). HIV monitoring and diagnosis have traditionally been handled by the China CDC, while ART and follow-up are provided by healthcare facilities (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2020</xref>). However, this has caused a physical barrier between the locations where patients receive long-term care and therapy and are diagnosed, creating a structural obstacle to care management. Implementing an integrated care cascade was recommended, which involves integrating diagnostic, therapies, and management services inside HIV care centers for complete care (<xref ref-type="bibr" rid="B2">Aids et&#xa0;al., 2018</xref>). However, the local implementation of the integrated care cascade in Xi&#x2019;an indicates that the association of care requires further improvement. Moreover, considerable regional regarding the HIV pandemic, legislation, economic growth, and healthcare services are observed in China, potentially resulting in an extended delay in rapid ART policy adoption and full implementation.</p>
<p>Unlike the results of two meta-analyses (<xref ref-type="bibr" rid="B18">Mateo-Urdiales et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B5">Bai et&#xa0;al., 2022</xref>)&#x2014;which reported that rapid ART initiators demonstrated a decreased risk of LTFU&#x2014;no significant differences in LTFU were found between rapid initiation and delayed ART at 12 months after enrollment in our study. Additionally, numerous observational studies have revealed that rapid ART is related to poorer rates of engagement in care (<xref ref-type="bibr" rid="B12">Joseph Davey et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B16">Lilian et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B22">Puttkammer et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Onoya et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B14">Kimanga et&#xa0;al., 2022</xref>), potentially attributed to patient- and health provider-level factors affecting ART care retention, including income level, perceived health provider expertise, varying care levels and counseling at facilities, or ancillary service accessibility. According to our findings, enhanced, individualized counseling is necessary to increase care retention among PWH initiating ART.</p>
<p>Our results&#x2014;contradicting the results of previous studies (<xref ref-type="bibr" rid="B19">Murenzi et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B24">Ross et&#xa0;al., 2023</xref>)&#x2014;revealed that rapid ART initiators had lower rates of virologic failure. Many studies revealed no differences in viral suppression rates between rapid and delayed ART initiation; thus, future viral suppression among PWH may not be negatively affected by the timing of ART. Even though WHO advises urging surveillance at 6 months, most Chinese PWH had no viral load data 6 months after treatment, indicating gaps in viral load monitoring (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Organization, W.H, 2021</xref>). Further enlargement of coverage and a substantial enhancement in the capacity for viral load measurement will be necessary. The impact of rapid ART on long-term viral suppression remains uncertain. Accelerating the initiation of ART may cause early viral suppression in the long term due to enhanced ART uptake, compliance, and retention in therapy. Moreover, our study revealed that rapid ART was associated with decreased mortality compared with delayed initiation. Our results confirm that rapid ART initiation is beneficial to Chinese PWH in practical situations.</p>
<p>Our study has several limitations. First, it did not measure specific determinants that affect care retention. These determinants included socioeconomic status, transportation accessibility, travel distance to the hospital, knowledge regarding treatment, and wait times at the hospital. Further, this study did not evaluate tuberculosis or cryptococcal meningitis infection, for which ART ought to be postponed (<xref ref-type="bibr" rid="B8">Committee, W.G.R, 2017</xref>). Furthermore, the emergence of the coronavirus disease 2019 epidemic may affect the compliance of individuals with HIV receiving ART from 2020 to 2022. Finally, the study consisted of an urban cohort in China characterized by a comparatively low HIV incidence. Hence, the generalizability of our findings to other situations may be limited.</p>
<p>In conclusion, our findings reveal that rapid ART initiation is available in Chinese healthcare facilities, with a notable rise in the percent of PWH in Xi&#x2019;an who have access to rapid ART from 2016 to 2022 after adopting the treat-all policy. Compared with delayed initiation, rapid ART initiation caused similar LTFU but lower mortality and virologic failure. This large-scale study provided real-world feasibility and efficacy data for implementing rapid ART initiation procedures in China.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>JJ: Investigation, Supervision, Methodology, Writing &#x2013; original draft. SP: Formal Analysis, Writing &#x2013; original draft, Investigation, Methodology. XJ: Writing &#x2013; original draft, Investigation, Data curation. HB: Writing &#x2013; original draft, Investigation, Data curation. YZ: Writing &#x2013; original draft, Data curation. JL: Writing &#x2013; original draft, Data curation. JY: Data curation, Writing &#x2013; original draft. PL: Data curation, Writing &#x2013; original draft. HH: Writing &#x2013; original draft, Data curation. KM: Investigation, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank the data staff from the Xi&#x2019;an Eighth&#x2019;s Hospital who made this analysis possible.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s9" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Agroia</surname> <given-names>H.</given-names></name>
<name><surname>Mousli</surname> <given-names>L.</given-names></name>
<name><surname>Bansil</surname> <given-names>R.</given-names></name>
<name><surname>Walsh</surname> <given-names>K.</given-names></name>
</person-group> (<year>2025</year>). 
<article-title>Analysis of clinical outcomes following implementation of a rapid antiretroviral therapy initiation protocol at a local HIV clinic</article-title>. <source>AIDS Behav.</source> <volume>29</volume>, <fpage>1340</fpage>&#x2013;<lpage>1351</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10461-024-04607-5</pub-id>, PMID: <pub-id pub-id-type="pmid">39828814</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<mixed-citation publication-type="journal">
<person-group person-group-type="author"><collab>Aids</collab><collab>Hepatitis C Professional Group</collab><collab>S.o.I.D.C.M.A</collab><collab>Chinese Center for Disease, C., and Prevention</collab>
</person-group> (<year>2018</year>). 
<article-title>Chinese guidelines for diagnosis and treatment of HIV/AIDS, (2018)</article-title>. <source>Zhonghua Nei Ke Za Zhi</source> <volume>57</volume>, <fpage>867</fpage>&#x2013;<lpage>884</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3760/cma.j.issn.0578-1426.2018.12.002</pub-id>, PMID: <pub-id pub-id-type="pmid">30486555</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<mixed-citation publication-type="journal">
<person-group person-group-type="author"><collab>Aids</collab><collab>Hepatitis C Professional Group</collab><collab>S.o.I.D.C.M.A</collab><collab>Chinese Center for Disease, C., and Prevention</collab>
</person-group> (<year>2021</year>). 
<article-title>Chinese guidelines for diagnosis and treatment of HIV/AIDS, (2021 edition)</article-title>. <source>Zhonghua Nei Ke Za Zhi</source> <volume>60</volume>, <fpage>1106</fpage>&#x2013;<lpage>1128</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3760/cma.j.cn112138-20211006-00676</pub-id>, PMID: <pub-id pub-id-type="pmid">34856684</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Amanyire</surname> <given-names>G.</given-names></name>
<name><surname>Semitala</surname> <given-names>F. C.</given-names></name>
<name><surname>Namusobya</surname> <given-names>J.</given-names></name>
<name><surname>Katuramu</surname> <given-names>R.</given-names></name>
<name><surname>Kampiire</surname> <given-names>L.</given-names></name>
<name><surname>Wallenta</surname> <given-names>J.</given-names></name>
<etal/>
</person-group>. (<year>2016</year>). 
<article-title>Effects of a multicomponent intervention to streamline initiation of antiretroviral therapy in Africa: a stepped-wedge cluster-randomised trial</article-title>. <source>Lancet HIV</source> <volume>3</volume>, <fpage>e539</fpage>&#x2013;<lpage>e548</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2352-3018(16)30090-X</pub-id>, PMID: <pub-id pub-id-type="pmid">27658873</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bai</surname> <given-names>R.</given-names></name>
<name><surname>Du</surname> <given-names>J.</given-names></name>
<name><surname>Lv</surname> <given-names>S.</given-names></name>
<name><surname>Hua</surname> <given-names>W.</given-names></name>
<name><surname>Dai</surname> <given-names>L.</given-names></name>
<name><surname>Wu</surname> <given-names>H.</given-names></name>
</person-group> (<year>2022</year>). 
<article-title>Benefits and risks of rapid initiation of antiretroviral therapy: A systematic review and meta-analysis</article-title>. <source>Front. Pharmacol.</source> <volume>13</volume>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2022.898449</pub-id>, PMID: <pub-id pub-id-type="pmid">35721164</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Broyles</surname> <given-names>L. N.</given-names></name>
<name><surname>Luo</surname> <given-names>R.</given-names></name>
<name><surname>Boeras</surname> <given-names>D.</given-names></name>
<name><surname>Vojnov</surname> <given-names>L.</given-names></name>
</person-group> (<year>2023</year>). 
<article-title>The risk of sexual transmission of HIV in individuals with low-level HIV viraemia: a systematic review</article-title>. <source>Lancet</source> <volume>402</volume>, <fpage>464</fpage>&#x2013;<lpage>471</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(23)00877-2</pub-id>, PMID: <pub-id pub-id-type="pmid">37490935</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cao</surname> <given-names>W.</given-names></name>
<name><surname>Hsieh</surname> <given-names>E.</given-names></name>
<name><surname>Li</surname> <given-names>T.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>Optimizing treatment for adults with HIV/AIDS in China: successes over two decades and remaining challenges</article-title>. <source>Curr. HIV/AIDS Rep.</source> <volume>17</volume>, <fpage>26</fpage>&#x2013;<lpage>34</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11904-019-00478-x</pub-id>, PMID: <pub-id pub-id-type="pmid">31939111</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<mixed-citation publication-type="book">
<person-group person-group-type="author"><collab>Committee, W.G.R</collab>
</person-group> (<year>2017</year>). &#x201c;
<article-title>Guidelines for Managing Advanced HIV Disease and Rapid Initiation of Antiretroviral Therapy</article-title>,&#x201d; in <source>World Health Organization</source> (
<publisher-name>World Health Organization</publisher-name>, <publisher-loc>Geneva: Switzerland</publisher-loc>).
</mixed-citation>
</ref>
<ref id="B9">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Duggan</surname> <given-names>J. M.</given-names></name>
<name><surname>Himich</surname> <given-names>K. V.</given-names></name>
<name><surname>Sahloff</surname> <given-names>E. G.</given-names></name>
</person-group> (<year>2025</year>). 
<article-title>Assessment of virologic suppression and retention in care 6 years after rapid initiation of antiretroviral therapy</article-title>. <source>Open Forum Infect. Dis.</source> <volume>12</volume>, <elocation-id>ofaf122</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ofid/ofaf122</pub-id>, PMID: <pub-id pub-id-type="pmid">40103731</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>He</surname> <given-names>N.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>Research progress in the epidemiology of HIV/AIDS in China</article-title>. <source>China CDC Wkly</source> <volume>3</volume>, <fpage>1022</fpage>&#x2013;<lpage>1030</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.46234/ccdcw2021.249</pub-id>, PMID: <pub-id pub-id-type="pmid">34888119</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hou</surname> <given-names>Y.</given-names></name>
<name><surname>Liu</surname> <given-names>J.</given-names></name>
<name><surname>Zhao</surname> <given-names>Y.</given-names></name>
<name><surname>Wu</surname> <given-names>Y.</given-names></name>
<name><surname>Ma</surname> <given-names>Y.</given-names></name>
<name><surname>Zhao</surname> <given-names>D.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). 
<article-title>Epidemiological trends of severely immunosuppressed people living with HIV at time of starting antiretroviral treatment in China during 2005-2018</article-title>. <source>J. Infect.</source> <volume>84</volume>, <fpage>400</fpage>&#x2013;<lpage>409</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jinf.2021.12.034</pub-id>, PMID: <pub-id pub-id-type="pmid">34973280</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Joseph Davey</surname> <given-names>D.</given-names></name>
<name><surname>Kehoe</surname> <given-names>K.</given-names></name>
<name><surname>Serrao</surname> <given-names>C.</given-names></name>
<name><surname>Prins</surname> <given-names>M.</given-names></name>
<name><surname>Mkhize</surname> <given-names>N.</given-names></name>
<name><surname>Hlophe</surname> <given-names>K.</given-names></name>
<etal/>
</person-group>. (<year>2020</year>). 
<article-title>Same-day antiretroviral therapy is associated with increased loss to follow-up in South African public health facilities: a prospective cohort study of patients diagnosed with HIV</article-title>. <source>J. Int. AIDS Soc.</source> <volume>23</volume>, <fpage>e25529</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jia2.25529</pub-id>, PMID: <pub-id pub-id-type="pmid">32510186</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kerschberger</surname> <given-names>B.</given-names></name>
<name><surname>Boulle</surname> <given-names>A.</given-names></name>
<name><surname>Kuwengwa</surname> <given-names>R.</given-names></name>
<name><surname>Ciglenecki</surname> <given-names>I.</given-names></name>
<name><surname>Schomaker</surname> <given-names>M.</given-names></name>
</person-group> (<year>2021</year>). 
<article-title>The impact of same-day antiretroviral therapy initiation under the world health organization treat-all policy</article-title>. <source>Am. J. Epidemiol.</source> <volume>190</volume>, <fpage>1519</fpage>&#x2013;<lpage>1532</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/aje/kwab032</pub-id>, PMID: <pub-id pub-id-type="pmid">33576383</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kimanga</surname> <given-names>D. O.</given-names></name>
<name><surname>Oramisi</surname> <given-names>V. A.</given-names></name>
<name><surname>Hassan</surname> <given-names>A. S.</given-names></name>
<name><surname>Mugambi</surname> <given-names>M. K.</given-names></name>
<name><surname>Miruka</surname> <given-names>F. O.</given-names></name>
<name><surname>Muthoka</surname> <given-names>K. J.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). 
<article-title>Uptake and effect of universal test-and-treat on twelve months retention and initial virologic suppression in routine HIV program in Kenya</article-title>. <source>PloS One</source> <volume>17</volume>, <fpage>e0277675</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0277675</pub-id>, PMID: <pub-id pub-id-type="pmid">36413522</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Labhardt</surname> <given-names>N. D.</given-names></name>
<name><surname>Brown</surname> <given-names>J. A.</given-names></name>
<name><surname>Sass</surname> <given-names>N.</given-names></name>
<name><surname>Ford</surname> <given-names>N.</given-names></name>
<name><surname>Rosen</surname> <given-names>S.</given-names></name>
</person-group> (<year>2023</year>). 
<article-title>Treatment outcomes after offering same-day initiation of human immunodeficiency virus treatment-how to interpret discrepancies between different studies</article-title>. <source>Clin. Infect. Dis.</source> <volume>77</volume>, <fpage>1176</fpage>&#x2013;<lpage>1184</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/ciad317</pub-id>, PMID: <pub-id pub-id-type="pmid">37229594</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lilian</surname> <given-names>R. R.</given-names></name>
<name><surname>Rees</surname> <given-names>K.</given-names></name>
<name><surname>McIntyre</surname> <given-names>J. A.</given-names></name>
<name><surname>Struthers</surname> <given-names>H. E.</given-names></name>
<name><surname>Peters</surname> <given-names>R. P. H.</given-names></name>
</person-group> (<year>2020</year>). 
<article-title>Same-day antiretroviral therapy initiation for HIV-infected adults in South Africa: Analysis of routine data</article-title>. <source>PloS One</source> <volume>15</volume>, <fpage>e0227572</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0227572</pub-id>, PMID: <pub-id pub-id-type="pmid">31935240</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mao</surname> <given-names>Y.</given-names></name>
<name><surname>Wu</surname> <given-names>Z.</given-names></name>
<name><surname>Poundstone</surname> <given-names>K.</given-names></name>
<name><surname>Wang</surname> <given-names>C.</given-names></name>
<name><surname>Qin</surname> <given-names>Q.</given-names></name>
<name><surname>Ma</surname> <given-names>Y.</given-names></name>
<etal/>
</person-group>. (<year>2010</year>). 
<article-title>Development of a unified web-based national HIV/AIDS information system in China</article-title>. <source>Int. J. Epidemiol.</source> <volume>39 Suppl 2</volume>, <fpage>ii79</fpage>&#x2013;<lpage>ii89</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ije/dyq213</pub-id>, PMID: <pub-id pub-id-type="pmid">21113041</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mateo-Urdiales</surname> <given-names>A.</given-names></name>
<name><surname>Johnson</surname> <given-names>S.</given-names></name>
<name><surname>Smith</surname> <given-names>R.</given-names></name>
<name><surname>Nachega</surname> <given-names>J. B.</given-names></name>
<name><surname>Eshun-Wilson</surname> <given-names>I.</given-names></name>
</person-group> (<year>2019</year>). 
<article-title>Rapid initiation of antiretroviral therapy for people living with HIV</article-title>. <source>Cochrane Database Syst. Rev.</source> <volume>6</volume>, <elocation-id>CD012962</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/14651858.CD012962.pub2</pub-id>, PMID: <pub-id pub-id-type="pmid">31206168</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<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/>
</person-group>. (<year>2023</year>). 
<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 Res. Hum. Retroviruses</source> <volume>39</volume>, <fpage>253</fpage>&#x2013;<lpage>261</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/AID.2022.0023</pub-id>, PMID: <pub-id pub-id-type="pmid">36800896</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Onoya</surname> <given-names>D.</given-names></name>
<name><surname>Hendrickson</surname> <given-names>C.</given-names></name>
<name><surname>Sineke</surname> <given-names>T.</given-names></name>
<name><surname>Maskew</surname> <given-names>M.</given-names></name>
<name><surname>Long</surname> <given-names>L.</given-names></name>
<name><surname>Bor</surname> <given-names>J.</given-names></name>
<etal/>
</person-group>. (<year>2021</year>). 
<article-title>Attrition in HIV care following HIV diagnosis: a comparison of the pre-UTT and UTT eras in South Africa</article-title>. <source>J. Int. AIDS Soc.</source> <volume>24</volume>, <fpage>e25652</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jia2.25652</pub-id>, PMID: <pub-id pub-id-type="pmid">33605061</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<mixed-citation publication-type="book">
<person-group person-group-type="author"><collab>Organization, W.H</collab>
</person-group> (<year>2021</year>). &#x201c;
<article-title>Updated recommendations on HIV prevention, infant diagnosis, antiretroviral initiation and monitoring</article-title>,&#x201d; in <source>World Health Organization</source> (
<publisher-name>World Health Organization</publisher-name>, <publisher-loc>Geneva</publisher-loc>).
</mixed-citation>
</ref>
<ref id="B22">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Puttkammer</surname> <given-names>N.</given-names></name>
<name><surname>Parrish</surname> <given-names>C.</given-names></name>
<name><surname>Desir</surname> <given-names>Y.</given-names></name>
<name><surname>Hyppolite</surname> <given-names>N.</given-names></name>
<name><surname>Wagenaar</surname> <given-names>B. H.</given-names></name>
<name><surname>Joseph</surname> <given-names>N.</given-names></name>
<etal/>
</person-group>. (<year>2020</year>). 
<article-title>Toward universal HIV treatment in Haiti: time trends in ART retention after expanded ART eligibility in a national cohort from 2011 to 2017</article-title>. <source>J. Acquir. Immune Defic. Syndr.</source> <volume>84</volume>, <fpage>153</fpage>&#x2013;<lpage>161</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/QAI.0000000000002329</pub-id>, PMID: <pub-id pub-id-type="pmid">32084052</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rosen</surname> <given-names>S.</given-names></name>
<name><surname>Maskew</surname> <given-names>M.</given-names></name>
<name><surname>Fox</surname> <given-names>M. P.</given-names></name>
<name><surname>Nyoni</surname> <given-names>C.</given-names></name>
<name><surname>Mongwenyana</surname> <given-names>C.</given-names></name>
<name><surname>Malete</surname> <given-names>G.</given-names></name>
<etal/>
</person-group>. (<year>2016</year>). 
<article-title>Initiating antiretroviral therapy for HIV at a patient&#x2019;s first clinic visit: the rapIT randomized controlled trial</article-title>. <source>PloS Med.</source> <volume>13</volume>, <fpage>e1002015</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pmed.1002015</pub-id>, PMID: <pub-id pub-id-type="pmid">27163694</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<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. D.</given-names></name>
<etal/>
</person-group>. (<year>2023</year>). 
<article-title>Same-day antiretroviral therapy initiation as a predictor of loss to follow-up and viral suppression among people with human immunodeficiency virus in sub-saharan africa</article-title>. <source>Clin. Infect. Dis.</source> <volume>76</volume>, <fpage>39</fpage>&#x2013;<lpage>47</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/ciac759</pub-id>, PMID: <pub-id pub-id-type="pmid">36097726</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wang</surname> <given-names>R.</given-names></name>
<name><surname>Sun</surname> <given-names>L.</given-names></name>
<name><surname>Wang</surname> <given-names>X.</given-names></name>
<name><surname>Zhai</surname> <given-names>Y.</given-names></name>
<name><surname>Wang</surname> <given-names>L.</given-names></name>
<name><surname>Ma</surname> <given-names>P.</given-names></name>
<etal/>
</person-group>. (<year>2024</year>). 
<article-title>Rapid initiation of antiretroviral therapy with coformulated bictegravir, emtricitabine, and tenofovir alafenamide versus efavirenz, lamivudine, and tenofovir disoproxil fumarate in HIV-positive men who have sex with men in China: week 48 results of the multicenter, randomized clinical trial</article-title>. <source>Clin. Infect. Dis.</source> <volume>79</volume>, <fpage>169</fpage>&#x2013;<lpage>176</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/ciae012</pub-id>, PMID: <pub-id pub-id-type="pmid">38236137</pub-id>
</mixed-citation>
</ref>
<ref id="B26">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Weiser</surname> <given-names>B.</given-names></name>
<name><surname>Shi</surname> <given-names>B.</given-names></name>
<name><surname>Kemal</surname> <given-names>K.</given-names></name>
<name><surname>Burger</surname> <given-names>H.</given-names></name>
<name><surname>Minkoff</surname> <given-names>H.</given-names></name>
<name><surname>Shi</surname> <given-names>Q.</given-names></name>
<etal/>
</person-group>. (<year>2022</year>). 
<article-title>Long-term antiretroviral therapy mitigates mortality and morbidity independent of HIV tropism: 18 years follow-up in a women&#x2019;s cohort</article-title>. <source>AIDS</source> <volume>36</volume>, <fpage>1979</fpage>&#x2013;<lpage>1986</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/QAD.0000000000003337</pub-id>, PMID: <pub-id pub-id-type="pmid">35848576</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<mixed-citation publication-type="book">
<person-group person-group-type="author"><collab>WHO</collab>
</person-group> (<year>2017</year>). &#x201c;
<article-title>Guidelines for Managing Advanced HIV Disease and Rapid Initiation of Antiretroviral Therapy</article-title>,&#x201d; in <source>Guidelines for Managing Advanced HIV Disease and Rapid Initiation of Antiretroviral Therapy.</source> (
<publisher-name>World Health Organization</publisher-name>, <publisher-loc>Geneva</publisher-loc>).
</mixed-citation>
</ref>
<ref id="B28">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wu</surname> <given-names>Z.</given-names></name>
<name><surname>Zhao</surname> <given-names>Y.</given-names></name>
<name><surname>Ge</surname> <given-names>X.</given-names></name>
<name><surname>Mao</surname> <given-names>Y.</given-names></name>
<name><surname>Tang</surname> <given-names>Z.</given-names></name>
<name><surname>Shi</surname> <given-names>C. X.</given-names></name>
<etal/>
</person-group>. (<year>2015</year>). 
<article-title>Simplified HIV testing and treatment in China: analysis of mortality rates before and after a structural intervention</article-title>. <source>PloS Med.</source> <volume>12</volume>, <fpage>e1001874</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pmed.1001874</pub-id>, PMID: <pub-id pub-id-type="pmid">26348214</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Xia</surname> <given-names>H.</given-names></name>
<name><surname>Li</surname> <given-names>L.</given-names></name>
<name><surname>Wu</surname> <given-names>Y.</given-names></name>
<name><surname>Gao</surname> <given-names>L.</given-names></name>
<name><surname>Zhang</surname> <given-names>D.</given-names></name>
<name><surname>Ma</surname> <given-names>P.</given-names></name>
</person-group> (<year>2024</year>). 
<article-title>Rapid initiation of antiretroviral therapy under the treat-all policy reduces loss to follow-up and virological failure in routine human immunodeficiency virus care settings in China: A retrospective cohort study, (2016-2022)</article-title>. <source>AIDS Patient Care STDS</source> <volume>38</volume>, <fpage>168</fpage>&#x2013;<lpage>176</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1089/apc.2024.0045</pub-id>, PMID: <pub-id pub-id-type="pmid">38656215</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhao</surname> <given-names>Y.</given-names></name>
<name><surname>Wu</surname> <given-names>Z.</given-names></name>
<name><surname>McGoogan</surname> <given-names>J. M.</given-names></name>
<name><surname>Sha</surname> <given-names>Y.</given-names></name>
<name><surname>Zhao</surname> <given-names>D.</given-names></name>
<name><surname>Ma</surname> <given-names>Y.</given-names></name>
<etal/>
</person-group>. (<year>2019</year>). 
<article-title>Nationwide cohort study of antiretroviral therapy timing: treatment dropout and virological failure in China 2011-2015</article-title>. <source>Clin. Infect. Dis.</source> <volume>68</volume>, <fpage>43</fpage>&#x2013;<lpage>50</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/ciy400</pub-id>, PMID: <pub-id pub-id-type="pmid">29771296</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhao</surname> <given-names>Y.</given-names></name>
<name><surname>Wu</surname> <given-names>Z.</given-names></name>
<name><surname>McGoogan</surname> <given-names>J. M.</given-names></name>
<name><surname>Shi</surname> <given-names>C. X.</given-names></name>
<name><surname>Li</surname> <given-names>A.</given-names></name>
<name><surname>Dou</surname> <given-names>Z.</given-names></name>
<etal/>
</person-group>. (<year>2018</year>). 
<article-title>Immediate antiretroviral therapy decreases mortality among patients with high CD4 counts in China: A nationwide, retrospective cohort study</article-title>. <source>Clin. Infect. Dis.</source> <volume>66</volume>, <fpage>727</fpage>&#x2013;<lpage>734</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/cix878</pub-id>, PMID: <pub-id pub-id-type="pmid">29069362</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1227627">Diego Ripamonti</ext-link>, Papa Giovanni XXIII Hospital, Italy</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2625033">Harit Agroia</ext-link>, San Jose State University, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3294139">Habib Omari</ext-link>, University of Maryland, United States</p></fn>
</fn-group>
</back>
</article>