<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.179310.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Comparison Of Clinical Stadium Changes And Immunologic Parameter Of Adult HIV patients With Dolutegravir And Efavirenz Based Antiretroviral Therapy</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: awaiting peer review]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Zuhdi</surname>
                        <given-names>Muhammad Naufal</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0002-1317-3288</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Halim</surname>
                        <given-names>Risna</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Alimuddin</surname>
                        <given-names>Suriani</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bakri</surname>
                        <given-names>Syakib</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Iskandar</surname>
                        <given-names>Harun</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2424-0178</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Zainuddin</surname>
                        <given-names>Alfian</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Internal Medicine, Hasanuddin University School of Medicine, Makassar, South Sulawesi, 90245, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Public Health and Community Medicine, Hasanuddin University School of Medicine, Makassar, South Sulawesi, 90245, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:naufalzuhdi26@gmail.com">naufalzuhdi26@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>4</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>582</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>26</day>
                    <month>3</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Zuhdi MN et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
                <license>
                    <license-p>The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-582/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Human immunodeficiency virus (HIV) remains a major global health challenge. Dolutegravir-based antiretroviral therapy (ART) is recommended as the preferred first-line regimen due to its high efficacy and tolerability. However, real-world evidence comparing clinical and immunologic outcomes between dolutegravir- and efavirenz-based therapies is limited in Indonesia. This study compared changes in clinical stage and immunologic parameters among adult HIV patients receiving these regimens.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>This observational analytic study used a retrospective cohort design. Data were collected from medical records of adult HIV patients at Dr. Wahidin Sudirohusodo Hospital (Makassar, Indonesia) from January 2020 to December 2025. Included patients were aged &#x2265;18&#x00a0;years, received dolutegravir- or efavirenz-based therapy for &#x2265;12&#x00a0;months, and had complete baseline, month 6, and month 12 data on WHO clinical stage and CD4 T-cell counts. Analyses used chi-square tests (p&#x00a0;&lt;&#x00a0;0.05 significance).</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Of 175 patients, most were male (76.6%) and aged &lt;50&#x00a0;years (89.7%). At baseline, all had CD4 counts &lt;200 cells/mm
                        <sup>3</sup>; 73.1% were WHO stage III&#x2013;IV. No baseline clinical stage difference existed between groups (OR 1.64; 95% CI 0.78&#x2013;3.42; p&#x00a0;=&#x00a0;0.12). By month 12, 77.1% achieved clinical stages I&#x2013;II in both groups. Immunologic recovery occurred in 72.6% (CD4&#x00a0;&#x2265;&#x00a0;200 cells/mm
                        <sup>3</sup>), with dolutegravir patients showing higher CD4 recovery (OR 2.12; 95% CI 1.06&#x2013;4.25; p&#x00a0;=&#x00a0;0.02).</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Both regimens improved clinical and immunologic outcomes over 12&#x00a0;months, but dolutegravir-based ART was associated with superior CD4 recovery. Early diagnosis and timely ART initiation are essential for optimizing HIV outcomes.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>HIV</kwd>
                <kwd>antiretroviral therapy</kwd>
                <kwd>dolutegravir</kwd>
                <kwd>efavirenz</kwd>
                <kwd>CD4 count</kwd>
                <kwd>clinical stage</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec5" sec-type="intro">
            <title>Introduction</title>
            <p>Human immunodeficiency virus (HIV) infection remains a major global public health challenge. According to the World Health Organization, approximately 39.9 million people were living with HIV worldwide in 2023, with around 1.3 million new infections occurring annually.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> The widespread implementation of antiretroviral therapy (ART) has substantially reduced HIV related morbidity and mortality and improved the life expectancy of people living with HIV (PLWH) by suppressing viral replication and restoring immune function.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>The primary goal of ART is to achieve sustained viral suppression, prevent disease progression, and restore immune function, commonly assessed through the recovery of CD4+ T-cell counts.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Without treatment, HIV infection leads to progressive depletion of CD4+ lymphocytes, resulting in immune dysfunction and increased susceptibility to opportunistic infections and advanced clinical stages of the disease.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Early initiation of ART has been shown to significantly reduce disease progression and improve long term clinical outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>For many years, efavirenz based regimens were widely used as the standard first-line therapy for HIV infection. Earlier international guidelines recommended a regimen consisting of tenofovir, lamivudine (or emtricitabine), and efavirenz as the preferred initial therapy for adults and adolescents.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> However, increasing resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs), including efavirenz, as well as concerns regarding adverse effects, prompted the search for more effective antiretroviral agents.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>,
                    <xref ref-type="bibr" rid="ref7">7</xref>,
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>Dolutegravir, an integrase strand transfer inhibitor (INSTI), has emerged as a potent antiretroviral agent with several advantages compared with earlier regimens. Evidence from clinical trials and meta-analyses has demonstrated that dolutegravir based therapy provides higher rates of viral suppression, a higher genetic barrier to resistance, and improved tolerability compared with efavirenz based regimens.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Based on this growing body of evidence, the World Health Organization recommended dolutegravir based antiretroviral therapy as the preferred first-line regimen for adults and adolescents in updated treatment guidelines.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>,
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>In addition to improved virological outcomes, dolutegravir has also been associated with enhanced immunological recovery. Several studies have reported greater increases in CD4+ cell counts among patients receiving dolutegravir based therapy compared with those receiving non-nucleoside reverse transcriptase inhibitor-based regimens, including efavirenz.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> Nevertheless, findings across different settings remain inconsistent, and some studies have reported comparable immunological outcomes between the two regimens during early treatment periods.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
            </p>
            <p>Despite the growing global adoption of dolutegravir based regimens, evidence comparing clinical and immunological outcomes between dolutegravir and efavirenz remains limited in many low- and middle-income countries, including Indonesia. Local real-world data are important to evaluate the effectiveness of ART regimens in specific populations, as treatment outcomes may be influenced by factors such as baseline immunologic status, opportunistic infections, adherence to therapy, and healthcare access. Furthermore, monitoring both clinical stage progression and immunologic recovery provides a comprehensive evaluation of treatment response in patients with HIV.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>Therefore, this study aimed to compare the changes in clinical stage and immunologic parameters among adult HIV patientss receiving dolutegravir based and efavirenz based antiretroviral therapy at Wahidin Sudirohusodo Hospital. The findings of this study are expected to provide additional evidence regarding the effectiveness of these ART regimens in a real-world clinical setting and contribute to optimizing HIV treatment strategies in Indonesia.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>Methods</title>
            <sec id="sec7">
                <title>Study design and setting</title>
                <p>This study was an observational analytic study using a retrospective cohort design. The study was conducted at Dr. Wahidin Sudirohusodo Hospital in Indonesia. Data were collected from patients&#x2019; medical records between January 2020 and December 2025, while data extraction and analysis were performed in 2026.</p>
                <p>This study followed the reporting recommendations for observational studies according to the STROBE Statement.</p>
            </sec>
            <sec id="sec8">
                <title>Study population</title>
                <p>The study population consisted of adult patients diagnosed with HIV who received antiretroviral therapy (ART) at the study hospital during the study period. The study sample included patients receiving antiretroviral regimens containing either dolutegravir or efavirenz who met the eligibility criteria. Participants received verbal and written briefings on data collection methodologies through physical and laboratory examinations. Upon comprehending the sample technique both verbally and in writing, consent was secured through the completion and signing of the informed consent form presented prior to data collection.</p>
            </sec>
            <sec id="sec9">
                <title>Inclusion criteria</title>
                <p>Patients were included if they met the following criteria:
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Age&#x00a0;&#x2265;&#x00a0;18&#x00a0;years</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Diagnosed with HIV infection</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Received antiretroviral therapy based on dolutegravir (DTG) or efavirenz (EFV) for at least 12&#x00a0;months</p>
                        </list-item>
                        <list-item>
                            <label>4.</label>
                            <p>Received cotrimoxazole 960&#x00a0;mg once daily as prophylaxis for opportunistic infections</p>
                        </list-item>
                        <list-item>
                            <label>5.</label>
                            <p>Had complete clinical stage and CD4 data at baseline and during follow-up.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec10">
                <title>Sample size and sampling method</title>
                <p>The minimum required sample size was calculated using a formula for comparing two proportions with a confidence level of 95% and a statistical power of 80%. The estimated minimum sample size was 39 subjects in each group, resulting in a total minimum of 78 participants. Sampling was performed using total sampling of eligible medical records that met the inclusion and exclusion criteria.</p>
            </sec>
            <sec id="sec11">
                <title>Operational definitions</title>
                <p>

                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>

                                <bold>HIV infection:</bold> HIV infection was defined as a confirmed diagnosis based on serological testing using enzyme-linked immunosorbent assay (ELISA) or other standard diagnostic methods according to national HIV guidelines.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>

                                <bold>Clinical stage:</bold> Clinical staging was determined according to the clinical classification of WHO for HIV, which categorizes patients into stages based on the presence of HIV related symptoms and opportunistic infections. Clinical stage was assessed at baseline, month 6, and month 12. Clinical stage improvement was defined as a transition from WHO clinical stage III&#x2013;IV to stage I&#x2013;II during the follow-up period.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>

                                <bold>Immunological parameter:</bold> Immunological status was assessed by measuring CD4 T cell count. CD4 was assessed at baseline, month 6, and month 12. Immunologic recovery was defined as CD4 T-cell count &#x2265;200 cells/mm
                                <sup>3</sup>.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec12">
                <title>Statistical analysis</title>
                <p>Statistical analysis was performed using IBM SPSS Statistics version 26. Categorical variables were presented as frequencies and percentages and compared using the chi-square test or Fisher&#x2019;s exact test. Continuous variables were expressed as mean&#x00a0;&#x00b1;&#x00a0;standard deviation or median (interquartile range) depending on distribution and compared using independent t-tests or Mann&#x2013;Whitney U tests. Odds ratios (OR) with 95% confidence intervals (CI) were calculated. A p-value &lt;0.05 was considered statistically significant.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="results">
            <title>Results</title>
            <sec id="sec14">
                <title>Participant characteristics</title>
                <p>A total of 175 adult patients with HIV infection receiving antiretroviral therapy at Dr. Wahidin Sudirohusodo Hospital were included in the study. All participants met the inclusion criteria and had complete clinical and immunologic data for analysis. The majority of participants were male (76.6%), while 23.4% were female. Most patients were aged below 50&#x00a0;years, indicating that the study population was predominantly composed of individuals in the productive age group. At the initiation of antiretroviral therapy, all patients presented with CD4 counts below 200 cells/mm
                    <sup>

                        <bold>3</bold>
                    </sup>, reflecting severe immunosuppression at baseline. This finding indicates that many patients began treatment at relatively advanced stages of HIV infection.</p>
            </sec>
            <sec id="sec15">
                <title>Baseline clinical stage distribution</title>
                <p>Clinical staging at baseline showed that a substantial proportion of patients were already in advanced stages of HIV disease (WHO stage III&#x2013;IV) at the time of ART initiation. Among patients receiving efavirenz based therapy, 72.7% were classified as stage III&#x2013;IV, while 27.3% were in stages I&#x2013;II. Similarly, among those receiving dolutegravir based therapy, 73.3% were categorized as stage III&#x2013;IV and 26.7% were in stages I&#x2013;II. Statistical analysis demonstrated no significant difference in baseline clinical stage distribution between the two antiretroviral regimens (OR 1.64; 95% CI 0.78&#x2013;3.42; p&#x00a0;=&#x00a0;0.12). These findings suggest that both treatment groups had comparable disease severity prior to therapy initiation.</p>
            </sec>
            <sec id="sec16">
                <title>Baseline immunologic status</title>
                <p>Immunologic assessment based on CD4 T-cell counts revealed that all patients in both treatment groups had CD4 counts below 200 cells/mm
                    <sup>3</sup> at baseline, indicating severe immunologic impairment at the time of diagnosis or treatment initiation. This pattern reflects a common clinical presentation in many resource-limited settings, where patients often seek medical care only after significant immune deterioration has occurred.</p>
            </sec>
            <sec id="sec17">
                <title>Association between age and clinical stage</title>
                <p>The relationship between patient age and clinical stage was also analyzed to determine whether older age was associated with more advanced disease. Among patients aged &gt;50&#x00a0;years, 22.2% were classified as having advanced clinical stages (III&#x2013;IV), while 77.8% were in earlier stages (I&#x2013;II). Among patients aged &lt;50&#x00a0;years, 22.9% were categorized as stage III&#x2013;IV and 77.1% were in stages I&#x2013;II. Statistical analysis demonstrated no significant association between age and clinical stage (OR 0.96; 95% CI 0.29&#x2013;3.10; p&#x00a0;=&#x00a0;0.60). These findings indicate that age alone was not a significant determinant of disease severity at baseline in this cohort.</p>
            </sec>
            <sec id="sec18">
                <title>Association between age and immunologic status</title>
                <p>Further analysis was conducted to examine whether age influenced immunologic status, as measured by CD4 T-cell counts. Among patients aged &gt;50&#x00a0;years, 22.2% had CD4 counts &lt;200 cells/mm
                    <sup>3</sup>, while 77.8% had CD4 counts &#x2265;200 cells/mm
                    <sup>3</sup> during follow-up. Among patients aged &lt;50&#x00a0;years, 28.0% had CD4 counts &lt;200 cells/mm
                    <sup>3</sup> and 72.0% had CD4 counts &#x2265;200 cells/mm
                    <sup>3</sup>. The statistical analysis revealed no significant association between age and CD4 level (OR 0.73; 95% CI 0.23&#x2013;2.35; p&#x00a0;=&#x00a0;0.41). These findings suggest that immunologic recovery during antiretroviral therapy was not significantly influenced by age in this study population.</p>
            </sec>
            <sec id="sec19">
                <title>Comparison of outcomes between dolutegravir- and efavirenz based regimens</title>
                <p>A comparison of outcomes between the two antiretroviral regimens was performed to evaluate whether the choice of regimen influenced clinical stage or immunologic recovery. Both treatment groups demonstrated similar baseline characteristics, including comparable distributions of clinical stage and CD4 levels prior to treatment initiation. This comparability strengthens the validity of subsequent comparisons between the two treatment regimens. Overall, statistical analysis indicated no significant difference in clinical stage outcomes between patients receiving dolutegravir based therapy and those receiving efavirenz based therapy. Similarly, no statistically significant difference in CD4 recovery was observed between the two treatment groups during the observation period. These findings suggest that, within the timeframe and clinical context of this study, both regimens produced comparable clinical and immunologic outcomes among adult patients with HIV.</p>
            </sec>
        </sec>
        <sec id="sec20" sec-type="discussion">
            <title>Discussion</title>
            <p>This study compared clinical stage changes and immunologic parameters among adult patients with HIV receiving dolutegravir based and efavirenz based antiretroviral therapy at Dr. Wahidin Sudirohusodo Hospital. Several important findings emerged from this analysis.</p>
            <p>First, the majority of patients in this study presented with advanced HIV disease at the time of treatment initiation, as reflected by the high proportion of individuals in WHO clinical stages III&#x2013;IV and CD4 counts below 200 cells/mm
                <sup>3</sup> (
                <xref ref-type="table" rid="T1">
Table 1</xref>). This finding suggests that many patients begin antiretroviral therapy only after significant immune deterioration has occurred. Similar patterns have been reported in several studies from low- and middle-income countries, where delayed diagnosis and barriers to healthcare access contribute to late presentation of HIV infection. Reports from World Health Organization indicate that late presentation remains a major challenge in HIV management globally, particularly in resource-limited settings.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>,
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>
Table 1. </label>
                <caption>
                    <title>Characteristics of the study subjects.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variable</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">N %</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Gender</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Man</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">134 (76.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Woman</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41 (23.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Age</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&gt;50&#x00a0;years old</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18 (10.3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&lt;50&#x00a0;years old</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">157 (89.7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Opportunistic Infection</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82 (46.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Not Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">93 (53.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Tuberculosis Coinfection</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">22 (12.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Not Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">153 (87.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Comorbidity</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (3.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Not Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">169 (96.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Clinical Stadium (0-Month)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">1 &amp; 2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">47 (26.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">3 &amp; 4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">128 (73.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Clinical Stadium (6-Month)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">1 &amp; 2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">78 (44.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">3 &amp; 4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">97 (55.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Clinical Stadium (12-Month)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">1 &amp; 2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">135 (77.1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">3 &amp; 4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (22.9)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">CD4 Count (0-Month)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&lt;200</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">175 (100)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&gt;200</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0 (0)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">CD4 Count (6-Month)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&lt;200</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">96 (54.8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&gt;200</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">79 (45.2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">CD4 Count (12-Month)</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&lt;200</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48 (27.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&gt;200</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">127 (72.6)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Antiretroviral Regimens</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Efavirenz</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55 (31.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Dolutegravir</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">120 (68.6)</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>Second, our study found no significant difference in baseline clinical stage between patients receiving dolutegravir based and efavirenz based regimens (
                <xref ref-type="table" rid="T2">
Table 2</xref>
                <bold>)</bold>. This indicates that the two treatment groups were relatively comparable at the start of therapy. Baseline comparability is important in observational studies because it reduces the potential influence of confounding factors when evaluating treatment outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
            </p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Analysis of the association between antiretroviral therapy (art) regimens and changes in clinical stage at months 0, 6, and 12.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">Clinical stage</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR CI 95%</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">p-value
</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">3 &amp; 4</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
1 &amp; 2</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0-Month</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Efavirenz</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">40 (72.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15 (27.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.64 (0.78&#x2013;3.42)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.12</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Dolutegravir</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">88 (73.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">32 (26.7)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6-Month</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Efavirenz</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35 (63.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20 (36.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.637 (0.85&#x2013;3.15)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.139</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Dolutegravir</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">62 (51.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">58 (48.3)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12-Month</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Efavirenz</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (29)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">39 (71)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.64 (0.78&#x2013;3.49)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.13</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Dolutegravir</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">24 (20)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">96 (80)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>Chi-Square Test</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>Third, this study demonstrated that age was not significantly associated with either clinical stage or immunologic status (
                <xref ref-type="table" rid="T4">
Table 4</xref> and 
                <xref ref-type="table" rid="T5">5</xref>
                <bold>)</bold>. Both younger and older patients showed similar distributions of clinical stage and CD4 levels. These findings suggest that factors other than age&#x2014;such as duration of untreated infection, adherence to therapy, or presence of opportunistic infections&#x2014;may play a more important role in determining disease severity at presentation.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref5">5</xref>,
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
            </p>
            <p>Another important finding in this study was that no statistically significant difference in clinical stage improvement or CD4 recovery was observed between patients receiving dolutegravir based therapy and those receiving efavirenz based therapy during the study period (
                <xref ref-type="table" rid="T2">
Table 2</xref> and 
                <xref ref-type="table" rid="T3">3</xref>). Although dolutegravir is widely recognized as a potent integrase strand transfer inhibitor with a high genetic barrier to resistance, our findings suggest that both regimens may provide comparable clinical and immunologic outcomes in real-world clinical settings.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>Analysis of the association between antiretroviral therapy (art) regimens and CD4 count at months 0, 6, and 12.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">CD4</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR CI 95%</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">p-value
</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">&lt;200</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
&gt;200</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0-Month</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Efavirenz</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">55 (100)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td align="center" colspan="1" rowspan="1" valign="middle">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Dolutegravir</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">120 (100)</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6-Month</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Efavirenz</td>
                            <td align="char" char="(" colspan="1" rowspan="1" valign="bottom">36 (65.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">19 (34.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">1.89 (0.97&#x2013;3.67)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.056</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Dolutegravir</td>
                            <td align="char" char="(" colspan="1" rowspan="1" valign="bottom">60 (50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">60 (50)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12-Month</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Efavirenz</td>
                            <td align="char" char="(" colspan="1" rowspan="1" valign="bottom">21 (38)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">34 (62)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">2.12 (1.06&#x2013;4.25)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02
                                <xref ref-type="table-fn" rid="tfn2">*</xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Dolutegravir</td>
                            <td align="char" char="(" colspan="1" rowspan="1" valign="bottom">27 (22.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">93 (77.5)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn2">
                            <label>*</label>
                            <p>Chi-Square Test</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>Analysis of the association between age and comorbidities and clinical stage at month 12.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">Clinical stage</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR CI 95%</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">p-value
</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">3 &amp; 4</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
1 &amp; 2</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Age</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;&#x00a0;&gt;&#x00a0;50&#x00a0;years old</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (22.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (77.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.96 (0.29&#x2013;3.10)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.60</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;&#x00a0;&lt;&#x00a0;50&#x00a0;years old</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36 (22.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">121 (77.1)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Comorbidity</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 (33.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (66.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.72 (0.30&#x2013;9.77)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.52</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;Not Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38 (22.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">131 (77.5)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn3">
                            <label>*</label>
                            <p>Chi-Square Test</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T5" orientation="portrait" position="float">
                <label>
Table 5. </label>
                <caption>
                    <title>Analysis of the association between age and comorbidities and CD4 count at month 12.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">CD4</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">OR CI 95%</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">p-value
</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">&lt;200</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
&gt;200</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Age</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;&#x00a0;&gt;&#x00a0;50&#x00a0;years old</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (22.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (77.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.73 (0.23&#x2013;2.35)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.41</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;&#x00a0;&lt;&#x00a0;50&#x00a0;years old</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">44 (28.0)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">113 (72.0)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">Comorbidity</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 (33.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (66.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.33 (0.23&#x2013;7.54)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.52</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="bottom">&#x2003;Not Present</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46 (27.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">123 (72.8)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn4">
                            <label>*</label>
                            <p>Chi-Square Test</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>Previous clinical trials have demonstrated the superior virologic efficacy of dolutegravir based regimens compared with efavirenz based therapy. For example, randomized trials reported higher viral suppression rates and improved tolerability among patients receiving dolutegravir-containing regimens.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> These findings contributed to the global recommendation by the World Health Organization that dolutegravir based therapy should be the preferred first-line antiretroviral regimen for adults and adolescents with HIV.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
            </p>
            <p>However, the absence of a significant difference in our study may be explained by several factors. First, this study evaluated clinical stage and CD4 count, which are indirect markers of treatment response, rather than viral load suppression, which is the primary endpoint in many randomized clinical trials.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Second, the retrospective nature of this study and the limited follow-up period may have reduced the ability to detect subtle differences between treatment regimens.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Third, variations in adherence, comorbid conditions, and access to healthcare services may influence treatment outcomes in routine clinical practice.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>Our findings are consistent with several observational studies conducted in routine clinical settings that reported similar immunologic recovery between dolutegravir and efavirenz regimens, particularly during the early phases of treatment.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>,
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> This suggests that while dolutegravir may provide superior virologic efficacy in controlled trials, real-world outcomes may be influenced by multiple contextual factors.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
            </p>
            <p>This study has several strengths. First, it provides real-world evidence regarding the clinical and immunologic outcomes of different antiretroviral regimens in a tertiary referral hospital in Indonesia. Second, the study included a relatively large sample of patients receiving routine HIV care, allowing for the evaluation of treatment outcomes in a practical clinical setting.</p>
            <p>However, several limitations should be acknowledged. The retrospective design may introduce potential biases related to incomplete medical records and unmeasured confounding variables. In addition, viral load data were not available for all patients, limiting the ability to directly assess virologic suppression. Furthermore, the study was conducted in a single tertiary hospital, which may limit the generalizability of the findings to other healthcare settings.</p>
            <p>Despite these limitations, this study provides valuable insights into the clinical outcomes of patients receiving different antiretroviral regimens in routine clinical practice. Future prospective studies with longer follow-up periods and comprehensive virologic monitoring are needed to further evaluate the comparative effectiveness of dolutegravir- and efavirenz based therapies.</p>
            <p>In conclusion, most patients in this cohort initiated antiretroviral therapy at advanced stages of HIV infection with severe immunosuppression. No significant differences were observed in clinical stage improvement or CD4 recovery between dolutegravir based and efavirenz based antiretroviral regimens. These findings highlight the importance of early HIV diagnosis and treatment initiation to improve clinical outcomes among people living with HIV.</p>
        </sec>
        <sec id="sec21">
            <title>Ethical consideration</title>
            <p>The study received ethical approval from the Biomedical Research Ethics Commission of the Faculty of Medicine, Hasanuddin University, Makassar with Ethical Approval Letter Number 102/UN4.6.4.5.31/PP36/2026 Informed consent was obtained from all participants.</p>
        </sec>
    </body>
    <back>
        <sec id="sec24" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec25">
                <title>Underlying data</title>
                <p>Repository: 
                    <bold>Research Data Comparison Of Clinical Stadium Changes And Immunologic Parameter Of Adult HIV patients With Dolutegravir And Efavirenz Based Antiretroviral Therapy.</bold> DOI: 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19046282">https://doi.org/10.5281/zenodo.19046282</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup>
                </p>
                <p>The project contains the following underlying data: Demographic and Clinical Characteristics of the Study Subjects, Analysis of the Association Between Antiretroviral Therapy (ART) Regimens and Changes in Clinical Stage at Months 0, 6, and 12, Analysis of the Association Between Antiretroviral Therapy (ART) Regimens and CD4 Count at Months 0, 6, and 12, Analysis of the Association Between Age and Comorbidities and Clinical Stage at Month 12, Analysis of the Association Between Age and Comorbidities and CD4 Count at Month 12.</p>
            </sec>
            <sec id="sec26">
                <title>Extended data</title>
                <p>Repository: 
                    <bold>Research Data Comparison Of Clinical Stadium Changes And Immunologic Parameter Of Adult HIV patients With Dolutegravir And Efavirenz Based Antiretroviral Therapy.</bold> DOI: 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.19046282">https://doi.org/10.5281/zenodo.19046282</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup>
                </p>
                <p>The project contains the following extended data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>STROBE-checklist.doc (completed STROBE checklist for cohort study)</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>

                                <ext-link ext-link-type="uri" xlink:href="https://zenodo.org/records/18079704/files/Informed%20Consent,%20Interview%20Guide,%20Laboratory%20Format%20Fix.docx?download=1">Informed</ext-link> Consent (Interview and Physical Examination Guide used to collect participant information)</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license (CC-BY 4.0)</ext-link>.</p>
            </sec>
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