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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2024.1370725</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Serum uric acid and high-sensitivity C-reactive protein levels among people living with HIV on dolutegravir and ritonavir-boosted atazanavir-based antiretroviral therapy: a comparative cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Waritu</surname> <given-names>Nuredin Chura</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Nair</surname> <given-names>Suresh Kumar P.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Usure</surname> <given-names>Rashed Edris</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Jemal</surname> <given-names>Mohammed</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Biomedical Sciences, School of Medicine, Wolaita Sodo University</institution>, <addr-line>Wolaita Sodo</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Biomedical Sciences, School of Medicine, Jimma University</institution>, <addr-line>Jimma</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pharmaceutical Chemistry, School of Pharmacy, Hawassa University</institution>, <addr-line>Hawassa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Biomedical Sciences, School of Medicine, Debre Markos University</institution>, <addr-line>Debre Markos</addr-line>, <country>Ethiopia</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by"><p>Edited by: Alexandre Morrot, Federal University of Rio de Janeiro, Brazil</p></fn>
<fn id="fn0002" fn-type="edited-by"><p>Reviewed by: Phiwayinkosi V. Dludla, South African Medical Research Council, South Africa</p>
<p>Alvina Widhani, University of Indonesia, Indonesia</p></fn>
<corresp id="c001">&#x002A;Correspondence: Nuredin Chura Waritu, <email>nurmaye12@gmail.com</email>; <email>nuredin.chura@wsu.edu.et</email></corresp>
<corresp id="c002">Mohammed Jemal, <email>mohajem9801@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1370725</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>01</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>07</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Waritu, Nair, Usure and Jemal.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Waritu, Nair, Usure and Jemal</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>After the introduction of antiretroviral therapy, the care given to people living with HIV has become complicated by the appearance of comorbidities as a result of HIV and HAART toxicities, in which cardiovascular disease got the most attention. So, this study aimed to assess serum uric acid and high-sensitivity C-reactive protein levels among people living with HIV on dolutegravir (DTG) and ritonavir-boosted atazanavir (ATV/r)-based therapy.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>An institutional-based comparative cross-sectional study was conducted from November 4, 2021, to January 4, 2022. An equal number of dolutegravir- and ritonavir-boosted atazanavir-treated patients (<italic>n</italic>&#x2009;=&#x2009;86 each) were enrolled. A consecutive sampling method was used to select participants. Data were entered into Epidata version 4.6, exported to SPSS version 25.0, and analyzed using Chi-square, Student&#x2019;s t-test, Mann&#x2013;Whitney <italic>U</italic>-test, and logistic regression. Statistical significance was set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The prevalence of hyperuricemia and high-sensitivity C-reactive protein levels &#x2265;2&#x2009;mg/L were 46.5% (40/86) and 24.4% (21/86) in the DTG group, and 30.2% (26/86) and 44.2 (38/86) in the ATV/r group, respectively. When compared to ATV/r, a higher mean level of uric acid was found among DTG-based regimens (5.38&#x2009;mg/dL). Duration of ART (AOR&#x2009;=&#x2009;2, 95% CI: 1.2, 4.4) and DTG-based regimen (AOR&#x2009;=&#x2009;1.9, 95% CI: 1.04, 3.8) were significant predictors of developing hyperuricemia. ATV/r-based regimen (AOR&#x2009;=&#x2009;3, 95% CI: 1.5, 8.3) and high waist circumference (AOR&#x2009;=&#x2009;2.5, 95% CI: 1, 3.5) were significantly associated with increased high-sensitivity C-reactive protein levels.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>It is observed that DTG-based and ATV/r-based ART are associated with hyperuricemia and increased high-sensitivity C-reactive protein levels, respectively. Therefore, it is important to consider and evaluate serum uric acid and high-sensitivity C-reactive protein levels in patients taking DTG and ATV/r-based ART, as well as among those on HAART for years and with a higher waist circumference, so as to detect and prevent early the risk of having CVD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hyperuricemia</kwd>
<kwd>high-sensitivity C-reactive protein</kwd>
<kwd>dolutegravir</kwd>
<kwd>ritonavir-boosted atazanavir</kwd>
<kwd>HIV</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="72"/>
<page-count count="10"/>
<word-count count="7412"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Pathogenesis and Therapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5">
<title>Background</title>
<p>After the introduction of antiretroviral therapy (ART), the world successfully achieved higher viral suppression and a lower viral load burden, followed by a reduction in mortality and morbidity associated with HIV and an improvement in the quality of life of people living with HIV (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). But, now a days, the care given to this population is complicated by the emergency of other comorbidities introduced by HIV itself and as a result of ART toxicities (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). Exposure to ART for a longer duration of time enhances the susceptibility of these patients to developing these comorbidities, in which atherosclerotic cardiovascular disease (ASCVD) gains the most attention due to its association with the morbidity and mortality of people living with HIV (<xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Several studies have revealed that hyperuricemia and chronic inflammation have been proposed as potential mechanisms through which HIV and ART cause ASCVD (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>). Uric acid, the end product of purine metabolism, has been associated with metabolic syndrome, and it induces endothelial dysfunction, both of which are the main risk factors for ASCVD in general as well as in people living with HIV (<xref ref-type="bibr" rid="ref9">9</xref>&#x2013;<xref ref-type="bibr" rid="ref16">16</xref>). Increased the activity of the pentose phosphate pathway (PPP) and increase the production of ribose 5-phosphate which stimulate purine nucleotide phosphorylase for nucleotide synthesis, that in turn increased the production of uric acid as well as ART-induced mitochondrial toxicity subsequently increased lactate which compete with uric to be excreted were the possible ways for hyperuricemia seen in treated HIV patients (<xref ref-type="bibr" rid="ref17">17</xref>&#x2013;<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Hyperuricemia was increasingly seen among people living with HIV on ART than in the general population, which indicates people living with HIV are at greater risk of cardiovascular disease (CVD) than HIV-negative people, which means attention must be given to these people to prevent CVD (<xref ref-type="bibr" rid="ref20">20</xref>). An increased risk of having hyperuricemia was seen among treatment-naive compared to treatment experienced people living with HIV (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). It is observed that hyperuricemia was also detected in HIV patients taking HAART (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). Accordingly, a study from Italy reported that 25.2% of people living with HIV on HAART developed elevated serum uric acid levels (<xref ref-type="bibr" rid="ref12">12</xref>). The potential to cause an altered level of uric acid was different for different ART classes. Patients treated with stavudine, didanosine, and protease inhibitors had significantly increased levels of uric acid. However, tenofovir is associated with reduced levels of uric acid, and abacavir has a neutral effect on uric acid concentration (<xref ref-type="bibr" rid="ref25">25</xref>).</p>
<p>Studies have reported that patients treated with dolutegravir (DTG) have elevated levels of uric acid (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). Another study also showed people living with HIV on ritonavir-boosted protease inhibitors, especially ritonavir-boosted atazanavir (ATV/r), were observed to be hyperuricemic (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>Research into CVD risk factors has identified a number of inflammatory biomarkers, such as interleukin 6 (IL-6) and high-sensitivity C-reactive protein (hsCRP) (<xref ref-type="bibr" rid="ref30">30</xref>&#x2013;<xref ref-type="bibr" rid="ref32">32</xref>). A study from Italy showed an increased hsCRP level was detected in people living with HIV on combination antiretroviral therapy (cART), which makes hsCRP a useful additional biomarker to predict the risk of HIV patients developing CVD (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>). The risk of elevated hsCRP levels was higher among people living with HIV than HIV-negative populations, but the risk was higher for treatment-na&#x00EF;ve patients (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). Another study showed similar hsCRP levels were observed during pre-ART and 36&#x2009;weeks after commencing ART (<xref ref-type="bibr" rid="ref37">37</xref>). However, one study from Ghana reported that 32.5% of patients on ART have increased hsCRP levels greater than or equal to 3&#x2009;mg/L (<xref ref-type="bibr" rid="ref31">31</xref>). A study from France complains that the use of ATV/r containing ART enhances inflammation due to its effect on activation of NF-kB and increased levels of different inflammatory biomarkers (<xref ref-type="bibr" rid="ref38">38</xref>). It is speculated that the use of integrase strand transfer inhibitors (INSTI) is associated with reduced inflammation, which is determined by elevated levels of different inflammatory biomarkers including hsCRP levels (<xref ref-type="bibr" rid="ref39">39</xref>). Inflammation as measured by hsCRP levels is reduced after patients switch to INSTI from boosted-protease inhibitors (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). However, a conflicting result was posted, which indicates the association of INSTI including DTG with increased inflammation (<xref ref-type="bibr" rid="ref42">42</xref>&#x2013;<xref ref-type="bibr" rid="ref44">44</xref>).</p>
<p>Several factors contributed to hyperuricemia and increased inflammation measured by hsCRP, such as duration of HIV and HAART, age, obesity, alcohol intake, smoking, region, ethnicity, and low CD4 cell count (<xref ref-type="bibr" rid="ref45">45</xref>&#x2013;<xref ref-type="bibr" rid="ref47">47</xref>).</p>
<p>The DTG is a new integrase inhibitor that has been recommended by the World Health Organization (WHO) as the preferred first-line regimen for people living with HIV (<xref ref-type="bibr" rid="ref48">48</xref>). ATV/r is widely used as a second-line therapy in Ethiopia (<xref ref-type="bibr" rid="ref49">49</xref>). DTG is effective, has high antiviral potency, and can be used without pharmacological enhancements (<xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). As a result of this, most of the patients are on a regimen containing these ARTs.</p>
<p>Despite this, there is no well-documented evidence that shows the level of uric acid and hsCRP among patients taking DTG and ATV/r-based regimens in sub-Saharan Africa, including Ethiopia. The current WHO guideline does not include uric acid monitoring in patients taking these regimens, but they are useful biomarkers to detect and prevent the early occurrence of CVD. Therefore, the present study is designed to assess the serum level of uric acid, hsCRP, and their associated factors among adult HIV patients taking DTG and ATV/r-based antiretroviral therapy at Jimma University Medical Center, Southwest Ethiopia.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Study design and setting</title>
<p>An institutional-based comparative cross-sectional study was carried out at the ART clinic of Jimma University Medical Center (JUMC). The medical center has active 3,500 people living with HIV (until October 15, 2021); among these, 1841 were on ART containing DTG&#x2009;+&#x2009;3TC&#x2009;+&#x2009;TDF, and 167 were on ART containing ATV/r&#x2009;+&#x2009;3TC&#x2009;+&#x2009;TDF. The center provides services to the surrounding villages and nearby towns. Currently, the JUMC ART clinic provides voluntary counseling and testing (VCT), prevention of mother-to-child transmission of HIV, follow-up services for HIV-infected patients on ART therapy, and treatment of opportunistic infections.</p>
</sec>
<sec id="sec8">
<title>Study participant and study processes</title>
<p>The study was conducted from November 4, 2021, up to January 4, 2022. All people living with HIV &#x2265;18&#x2009;years who had received DTG-based and ATV/r-based regimens for at least 6 months (<xref ref-type="bibr" rid="ref52">52</xref>) and who volunteered to participate in the study were included. Whereas, patients taking DTG-based and ATV/r-based ART regimens for less than 6 months, pre-existing liver and renal problems, or active cancer, and those who did not volunteer to participate in the study were excluded.</p>
</sec>
<sec id="sec9">
<title>Sample size determinations and sampling procedure</title>
<p>The number of participants included in the study was calculated using the G&#x002A; power statistical power analysis version 3.1 software. The sample size was calculated by considering <italic>&#x03B1;</italic>&#x2009;=&#x2009;0.05, power (1&#x2013;&#x03B2;)&#x2009;=&#x2009;90%, with a DTG to ATV/r ratio of 1:1, two tail <italic>t</italic>-tests, and an effect size of 0.5. The computed sample size was 172. Of these, 86 were in the DTG-based group and 86 were in the ATV/r-based group. A consecutive sampling technique was applied. All participants who fulfilled the inclusion criteria and were ready to participate were included in the study until the required sample size of 172 was achieved.</p>
</sec>
<sec id="sec10">
<title>Data collection procedures</title>
<p>Before data collection, training was provided to the data collectors for 1 day by the principal investigator. Data collection was controlled by the principal investigator, and the collected data were checked for completeness, consistency, and clarity. Trained nurses collected sociodemographic and related clinical data using a structured questionnaire. The time of initiation of HAART, medical history, WHO clinical stage, and viral load values were obtained from the medical record card. A sample of venous blood was collected from each study participant for laboratory testing by laboratory technologists. Anthropometric measurements such as height, weight, waist circumference, and hip circumference were collected by trained nurses using a standard balance and a SECA meter. BMI was calculated by dividing the individual&#x2019;s weight in kilograms by the square of their height in meters (kg/m<sup>2</sup>). BMI was categorized as obese if BMI &#x2265;25&#x2009;kg/m<sup>2</sup> and normal if BMI &#x003C;25&#x2009;kg/m<sup>2</sup>. The range of abnormal waist circumference for males and females was &#x003E;102 and &#x003E;88&#x2009;cm, respectively. The cut-off for the waist-hip ratio was &#x2265;0.9 for males and &#x2265;0.85 for females, according to the criteria of the WHO guidelines (<xref ref-type="bibr" rid="ref53">53</xref>, <xref ref-type="bibr" rid="ref54">54</xref>).</p>
</sec>
<sec id="sec11">
<title>Blood sample collection</title>
<p>To determine the serum UA, hsCRP, and CD4 cell count, 2&#x2009;mL of blood was collected. Before centrifugation, whole blood was used to measure the CD4 cell count. The remaining blood was centrifuged at 3,000&#x2009;rpm for 5&#x2009;min. The serum obtained was stored at 4&#x00B0;C until the analysis of UA and hsCRP levels. UA and hsCRP levels were determined using a Roche Cobas 6,000 analyzer. The CD4 cell count was determined using a near-patient CD4 count system, which consisted of a FACSPresto counter machine and a BD FACSPresto&#x2122; Cartridge kit.</p>
</sec>
<sec id="sec12">
<title>Definitions</title>
<p>Hyperuricemia: patients having serum uric acid levels &#x003E;6.3&#x2009;mg/dL for males and &#x003E;4.9&#x2009;mg/dL for females (<xref ref-type="bibr" rid="ref55">55</xref>).</p>
<p>Increased serum hsCRP levels: patients having serum hsCRP levels &#x2265;2&#x2009;mg/dL for both genders. It was categorized based on its risk enhancing factor for ASCVD (<xref ref-type="bibr" rid="ref56">56</xref>).</p>
<p>Viral load (VL): &#x2264;1,000 copies/ml was categorized as suppressed and &#x003E;1,000 copies/ml as non-suppressed VL (<xref ref-type="bibr" rid="ref57">57</xref>).</p>
<p>Patient on DTG-based regimen: patient taking DTG&#x2009;+&#x2009;3TC&#x2009;+&#x2009;TDF for at least 6 months.</p>
<p>Patient on ATV/r-based regimen: patient taking ATV/r&#x2009;+&#x2009;3TC&#x2009;+&#x2009;TDF for at least 6 months.</p>
<p>CD4 cell count: &#x2265;500 cells/mm<sup>3</sup> as normal range and competent immune system and &#x003C;500 cells/mm<sup>3</sup> as compromised immune system (<xref ref-type="bibr" rid="ref58">58</xref>).</p>
</sec>
<sec id="sec13">
<title>Statistical methods</title>
<p>The data were checked, cleaned, entered into Epi-data software version 3.1, and exported to SPSS version 25 for further analysis. Simple descriptive statistics were used to present the participants&#x2019; sociodemographic characteristics. Categorical variables were presented as numbers and percentages, computed using the chi-square test to detect differences between the groups, while continuous variables were presented as mean&#x2009;&#x00B1;&#x2009;standard deviation. A student&#x2019;s <italic>t</italic>-test was used to detect differences between the groups. Factors with a <italic>p</italic>-value less than or equal to 0.25 in bivariate analysis were considered candidates for multivariate modeling. Multivariable logistic regression was performed to identify factors associated with hyperuricemia and increased hsCRP levels. Hosmer Lemeshow and pseudo-<italic>R</italic> square tests were checked, and no problems were found. The level of significance for statistical analysis was set at a <italic>p</italic>-value less than 0.05.</p>
</sec>
<sec id="sec14">
<title>Ethical consideration</title>
<p>Before data collection, ethical clearance was obtained from the Institutional Review Board of Jimma University with reference number of IHRPG1/5/2021. A permission letter had been obtained from the hospital, and data collection had started. Written informed consent was obtained from all patients before the interviews after providing information about the purpose and method of the study. Participants were coded to ensure confidentiality, and their information was kept confidential during data analysis. COVID-19 infection prevention measures recommended by the WHO were strictly followed during data collection to reduce the. The Declaration of Helsinki was strictly followed during the data collection.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<title>Results</title>
<sec id="sec16">
<title>Sociodemographic characteristics</title>
<p>From a total of 172 participants, which is described in <xref ref-type="table" rid="tab1">Table 1</xref>, 86 were DTG-treated and 86 were ATV/r-treated patients. The proportion of patients with an age greater than or equal to 40 was 52.3% (45/86) and 50% (43/86) among DTG and ATV/r-based regimens, respectively (<italic>p</italic>&#x2009;=&#x2009;0.8). Regarding gender, 66.3% (57/86) and 69.8% (60/86) of them were female on DTG- and ATV/r-based regimens, respectively.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Sociodemographic characteristics of study participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="2"/>
<th align="center" valign="top" colspan="2">Exposure category</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">Variables</th>
<th align="left" valign="top">Category</th>
<th align="center" valign="top">DTG <italic>n</italic> (%)</th>
<th align="center" valign="top">ATV/r <italic>n</italic> (%)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Age</td>
<td align="left" valign="top">18&#x2013;39</td>
<td align="center" valign="top">41 (47.7)</td>
<td align="center" valign="top">43 (50)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;40</td>
<td align="center" valign="top">45 (52.3)</td>
<td align="center" valign="top">43 (50)</td>
<td align="center" valign="top">0.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Gender</td>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">29 (33.7)</td>
<td align="center" valign="top">26 (30.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">57 (66.3)</td>
<td align="center" valign="top">60 (69.8)</td>
<td align="center" valign="top">0.08</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Religion</td>
<td align="left" valign="top">Muslim</td>
<td align="center" valign="top">25 (29.1)</td>
<td align="center" valign="top">29 (33.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Orthodox</td>
<td align="center" valign="top">28 (32.6)</td>
<td align="center" valign="top">27 (31.4)</td>
<td align="center" valign="top">0.8</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">33 (38.4)</td>
<td align="center" valign="top">30 (34.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Ethnicity</td>
<td align="left" valign="top">Oromo</td>
<td align="center" valign="top">41 (47.7)</td>
<td align="center" valign="top">48 (55.8)</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top">Amhara</td>
<td align="center" valign="top">19 (22.1)</td>
<td align="center" valign="top">18 (20.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">26 (30.2)</td>
<td align="center" valign="top">20 (23.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Marital status</td>
<td align="left" valign="top">Married</td>
<td align="center" valign="top">59 (68.6)</td>
<td align="center" valign="top">67 (77.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Unmarried</td>
<td align="center" valign="top">27 (31.4)</td>
<td align="center" valign="top">19 (22.1)</td>
<td align="center" valign="top">0.1</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Educational status</td>
<td align="left" valign="top">Educated</td>
<td align="center" valign="top">81 (94.2)</td>
<td align="center" valign="top">80 (93)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Uneducated</td>
<td align="center" valign="top">5 (5.8)</td>
<td align="center" valign="top">6 (7)</td>
<td align="center" valign="top">0.8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Occupational status</td>
<td align="left" valign="top">Employed</td>
<td align="center" valign="top">26 (30.2)</td>
<td align="center" valign="top">21 (24.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Unemployed</td>
<td align="center" valign="top">60 (69.8)</td>
<td align="center" valign="top">65 (75.6)</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Income (Birr/month)</td>
<td align="left" valign="top">&#x003C;5,000</td>
<td align="center" valign="top">44 (51.2)</td>
<td align="center" valign="top">50 (58.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;5,000</td>
<td align="center" valign="top">42 (48.8)</td>
<td align="center" valign="top">36 (41.9)</td>
<td align="center" valign="top">0.35</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Residence</td>
<td align="left" valign="top">Urban</td>
<td align="center" valign="top">66 (76.7)</td>
<td align="center" valign="top">66 (76.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Rural</td>
<td align="center" valign="top">20 (23.3)</td>
<td align="center" valign="top">20 (23.3)</td>
<td align="center" valign="top">0.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Smoking status</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">0 (0)</td>
<td align="center" valign="top">1 (1.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">86 (100)</td>
<td align="center" valign="top">85 (98.8)</td>
<td align="center" valign="top">0.32</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Alcohol use practice</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">40 (46.5)</td>
<td align="center" valign="top">47 (54.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">46 (53.5)</td>
<td align="center" valign="top">39 (45.3)</td>
<td align="center" valign="top">0.28</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Physical activity</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">58 (67.4)</td>
<td align="center" valign="top">68 (79.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">28 (32.6)</td>
<td align="center" valign="top">18 (20.9)</td>
<td align="center" valign="top">0.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>DTG, dolutegravir; ATV/r, ritonavir-boosted atazanavir; HAART, highly active antiretroviral therapy.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<title>Clinical characteristics of the study participants</title>
<p>This study shows the proportion of patients with CD4 cell count &#x003C;500 cells/mm<sup>3</sup> was 36% (31/86) for DTG and 26.6% (22/86) for ATV/r-based regimen. Patients who had taken ART for more than 24&#x2009;months were 58.1% (50/86) on DTG and 47.7% (41/86) on the ATV/r-based regimen. Furthermore, 34.9% (30/86) of DTG-treated and 23.3% (20/86) of ATV/r-treated patients had a BMI&#x2009;&#x2265;&#x2009;25&#x2009;kg/m<sup>2</sup> (<italic>p</italic>&#x2009;=&#x2009;0.093) (for more, see <xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Clinical characteristics of study participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="2"/>
<th align="center" valign="top" colspan="2">Exposure category</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">Baseline variables</th>
<th align="center" valign="top">Category</th>
<th align="center" valign="top">DTG-based ART<break/><italic>n</italic> (%)</th>
<th align="center" valign="top">ATV/r-based ART<break/><italic>n</italic> (%)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">CD4 cell count (cells/mm<sup>3</sup>)</td>
<td align="center" valign="top">&#x2265;500</td>
<td align="center" valign="top">55 (64)</td>
<td align="center" valign="top">64 (74.4)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003C;500</td>
<td align="center" valign="top">31 (36)</td>
<td align="center" valign="top">22 (26.6)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Viral load (copies/ml)</td>
<td align="center" valign="top">&#x2264;1,000</td>
<td align="center" valign="top">78 (90.7)</td>
<td align="center" valign="top">76 (88.4)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003E;1,000</td>
<td align="center" valign="top">8 (9.3)</td>
<td align="center" valign="top">10 (11.6)</td>
<td align="center" valign="top">0.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Duration of HIV (years)</td>
<td align="center" valign="top">&#x2264;5</td>
<td align="center" valign="top">46 (53.5)</td>
<td align="center" valign="top">49 (57)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003E;5</td>
<td align="center" valign="top">40 (46.5)</td>
<td align="center" valign="top">37 (43)</td>
<td align="center" valign="top">0.6</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Duration of HAART (Month)</td>
<td align="center" valign="top">&#x2264;24</td>
<td align="center" valign="top">36 (41.9)</td>
<td align="center" valign="top">45 (52.3)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003E;24</td>
<td align="center" valign="top">50 (58.1)</td>
<td align="center" valign="top">41 (47.7)</td>
<td align="center" valign="top">0.54</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="4">WHO clinical staging</td>
<td align="center" valign="top">I</td>
<td align="center" valign="top">21 (24.4)</td>
<td align="center" valign="top">25 (29.1)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">II</td>
<td align="center" valign="top">33 (38.4)</td>
<td align="center" valign="top">26 (30.2)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">III</td>
<td align="center" valign="top">32 (37.2)</td>
<td align="center" valign="top">35 (40.7)</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="center" valign="top">IV</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">&#x003C;25</td>
<td align="center" valign="top">56 (65.1)</td>
<td align="center" valign="top">66 (76.7)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x2265;25</td>
<td align="center" valign="top">30 (34.9)</td>
<td align="center" valign="top">20 (23.3)</td>
<td align="center" valign="top">0.093</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WC (cm)</td>
<td align="center" valign="top">&#x003C; cut-of</td>
<td align="center" valign="top">43 (50)</td>
<td align="center" valign="top">42 (48.8)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x2265; cut-of</td>
<td align="center" valign="top">43 (50)</td>
<td align="center" valign="top">44 (51.2)</td>
<td align="center" valign="top">0.9</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">WHR</td>
<td align="center" valign="top">&#x003C; cut-of</td>
<td align="center" valign="top">41 (47.7)</td>
<td align="center" valign="top">44 (51.2)</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x2265; cut-of</td>
<td align="center" valign="top">45 (52.3)</td>
<td align="center" valign="top">42 (48.8)</td>
<td align="center" valign="top">0.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NB, ATV/r, ritonavir-boosted atazanavir; BMI, body mass index; DTG, dolutegravir; HAART, highly active antiretroviral therapy; WC, waist circumference; WHR, waist-hip ratio.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec18">
<title>Mean difference among study participants</title>
<p><xref ref-type="table" rid="tab3">Table 3</xref> shows higher mean levels of uric acid were observed among patients treated by DTG compared to ATV/r-based regimens (<italic>p</italic>&#x2009;=&#x2009;0.02), but insignificant differences were observed regarding hsCRP levels (<italic>p</italic>&#x2009;=&#x2009;0.18).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption><p>Mean difference between study groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Exposure category</th>
<th/>
</tr>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">ATV/r-based regimen</th>
<th align="center" valign="top">DTG-based regimen</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Uric acid (mean&#x2009;&#x00B1;&#x2009;SD)</td>
<td align="center" valign="top">4.7 (1.7) mg/dl</td>
<td align="center" valign="top">5.38 (2.1) mg/dl</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top">HsCRP (mean&#x2009;&#x00B1;&#x2009;SD)</td>
<td align="center" valign="top">2.9 (2.8) mg/L</td>
<td align="center" valign="top">2.3 (2.5) mg/L</td>
<td align="center" valign="top">0.18</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>ATV/r, ritonavir-boosted atazanavir; DTG, dolutegravir; SD, standard deviation; hsCRP, high sensitivity CRP.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19">
<title>Prevalence of hyperuricemia among study participants</title>
<p>The prevalence of hyperuricemia shown in <xref ref-type="fig" rid="fig1">Figure 1</xref> was 46.5% (40/86) and 30.2% (26/86) among patients treated by DTG and ATV/r-based regimens of ART, respectively.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>Prevalence of hyperuricemia among people living with HIV taking DTG and ATV/r-based ART.</p></caption>
<graphic xlink:href="fmed-11-1370725-g001.tif"/>
</fig>
</sec>
<sec id="sec20">
<title>The prevalence of hsCRP levels &#x2265;2&#x2009;mg/L</title>
<p>This study found (<xref ref-type="fig" rid="fig2">Figure 2</xref>) that 24.4% (21/86) of patients on the DTG-based regimen and 44.2% (38/86) on the ATV/r-based regimen have increased hsCRP levels &#x2265;2&#x2009;mg/L.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Prevalence of elevated hsCRP levels among people living with HIV taking DTG and ATV/r-based ART.</p></caption>
<graphic xlink:href="fmed-11-1370725-g002.tif"/>
</fig>
</sec>
<sec id="sec21">
<title>Factors associated with hyperuricemia in people living with HIV on DTG and ATV/r-based ART</title>
<p>Multivariable logistic regression was performed for all predictor variables with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.25 in the bivariate analysis (<xref ref-type="table" rid="tab4">Table 4</xref>). In the multivariate analyses, the duration of ART and DTG-based ART were identified as significant predictors of hyperuricemia. It was observed that the odds of developing hyperuricemia were two times (AOR&#x2009;=&#x2009;1.9; 95% CI: 1.04, 3.8; <italic>p</italic>-values&#x2009;=&#x2009;0.04) more likely for patients treated with DTG than ATV/r-based regimen. Our study also revealed that patients living with HIV for more than 5 years had two times (AOR&#x2009;=&#x2009;2; 95% CI: 1.2, 4.4; <italic>p</italic>-value&#x2009;=&#x2009;0.02) more chance of having hyperuricemia than those living with HIV for less than or equal to 5 years.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption><p>Factors associated with hyperuricemia among study participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top" colspan="2">Hyperuricemia</th>
<th align="center" valign="top" colspan="2">Bivariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th align="left" valign="top">Variable</th>
<th align="center" valign="top">Category</th>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">No</th>
<th align="center" valign="top">COR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">AOR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">18&#x2013;39</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">&#x2265;40</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">1.5 (0.8, 2.8)</td>
<td align="center" valign="top">0.19</td>
<td align="center" valign="top">1.2 (0.6,2.4)</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top">Gender</td>
<td align="center" valign="top">Female</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">76</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">Male</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">1.5 (0.8, 2.9)</td>
<td align="center" valign="top">0.19</td>
<td align="center" valign="top">1.7 (0.8,3.3)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top">Duration of ART</td>
<td align="center" valign="top">&#x2264;24</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">(Months)</td>
<td align="center" valign="top">&#x003E;24</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">2.3 (1.2, 4.3)</td>
<td align="center" valign="top">0.012</td>
<td align="center" valign="top">2 (1.2,4.4)</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top">Duration of HIV</td>
<td align="center" valign="top">&#x2264;5</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">(Years)</td>
<td align="center" valign="top">&#x003E;5</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">1.6 (0.9,3)</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">1.5 (0.7,2.9)</td>
<td align="center" valign="top">0.3</td>
</tr>
<tr>
<td align="left" valign="top">Regimen types</td>
<td align="center" valign="top">ATV/r</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">DTG</td>
<td align="center" valign="top">40</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">2 (1.1, 3.8)</td>
<td align="center" valign="top">0.029</td>
<td align="center" valign="top">1.9 (1.04,3.8)</td>
<td align="center" valign="top">0.04</td>
</tr>
<tr>
<td align="left" valign="top">CD4 cell count</td>
<td align="center" valign="top">&#x2265;500</td>
<td align="center" valign="top">41</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">(Cells/mm<sup>3</sup>)</td>
<td align="center" valign="top">&#x003C;500</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">1.7 (0.9, 3.3)</td>
<td align="center" valign="top">0.115</td>
<td align="center" valign="top">1.3 (0.6,2.6)</td>
<td align="center" valign="top">0.5</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/mm<sup>2</sup>)</td>
<td align="center" valign="top">&#x003C;25</td>
<td align="center" valign="top">43</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">&#x2265;25</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">1.6 (0.8,3)</td>
<td align="center" valign="top">0.19</td>
<td align="center" valign="top">1.8 (0.8,3.3)</td>
<td align="center" valign="top">0.14</td>
</tr>
<tr>
<td align="left" valign="top">WC (cm)</td>
<td align="center" valign="top">Normal</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">Abnormal</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">1.7 (0.94,3.3)</td>
<td align="center" valign="top">0.079</td>
<td align="center" valign="top">1.8 (0.9,3.9)</td>
<td align="center" valign="top">0.08</td>
</tr>
<tr>
<td align="left" valign="top">WHR</td>
<td align="center" valign="top">&#x003C;cut-of</td>
<td align="center" valign="top">37</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">&#x2265;cut-of</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">0.7 (0.35.1.2)</td>
<td align="center" valign="top">0.17</td>
<td align="center" valign="top">1.8 (0.9, 3.5)</td>
<td align="center" valign="top">0.06</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NB: 1, reference category.</p>
<p>ATV/r, ritonavir-boosted atazanavir; BMI, body mass index; AOR, adjusted odd ratio; COR, crude odd ratio; CI, confidence interval; DTG, dolutegravir; HAART, highly active antiretroviral therapy; WC, waist circumference.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec22">
<title>Factors associated with elevated hsCRP levels among people living with HIV on DTG-based and ATV/r-based ART</title>
<p>Bivariate and multivariate analyses of the factors associated with elevated hsCRP levels are presented by the following (<xref ref-type="table" rid="tab5">Table 5</xref>). All variables with <italic>p</italic>&#x2009;&#x003C;&#x2009;0.25 (age, duration of ART, HIV, BMI, WC, regimen type, and CD4 cell count) were included in the multivariate analysis. After adjusting for all these variables in multiple logistic regressions, ATV/r-based ART (AOR&#x2009;=&#x2009;3; 95% CI: 1.5, 8.3; <italic>p</italic>&#x2009;=&#x2009;0.002) and waist circumference (AOR&#x2009;=&#x2009;2.5; 95% CI: 1.3, 5; <italic>p</italic>&#x2009;=&#x2009;0.01) were identified as significant predictors of elevated hsCRP levels.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption><p>Factors associated with increased hsCRP levels among study groups.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="top" colspan="2">hsCRP&#x2265;2&#x2009;mg/L</th>
<th align="center" valign="top" colspan="2">Bivariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Category</th>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">No</th>
<th align="center" valign="top">COR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
<th align="center" valign="top">AOR (95%CI)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Age</td>
<td align="center" valign="top">18&#x2013;39</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">1</td>
<td/>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x2265;40</td>
<td align="center" valign="top">34</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">1.5 (0.8, 2.8)</td>
<td align="center" valign="top">0.221</td>
<td align="center" valign="top">1.3 (0.7,2.7)</td>
<td align="center" valign="top">0.4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Duration of ART (months)</td>
<td align="center" valign="top">&#x2264;24</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">1</td>
<td/>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003E;24</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">1.7 (0.9, 3.1)</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">1.7 (0.9, 3.6)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Duration of HIV (years)</td>
<td align="center" valign="top">&#x2264;5</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">1</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003E;5</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">1.7 (0.9, 3.3)</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">1.6 (0.8, 3.2)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Regimen types</td>
<td align="center" valign="top">DTG</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">1</td>
<td/>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">ATV/r</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">2.5 (1.3, 4.7)</td>
<td align="center" valign="top">0.007</td>
<td align="center" valign="top">3 (1.5, 8.3)</td>
<td align="center" valign="top">0.002</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">CD4 cell count (cells/mm<sup>3</sup>)</td>
<td align="center" valign="top">&#x2265;500</td>
<td align="center" valign="top">36</td>
<td align="center" valign="top">83</td>
<td align="center" valign="top">1</td>
<td/>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x003C;500</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">1.8 (0.9, 3.5)</td>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">1.6 (0.8, 3.4)</td>
<td align="center" valign="top">0.2</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">&#x003C;25</td>
<td align="center" valign="top">38</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">1</td>
<td/>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td align="center" valign="top">&#x2265;25</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">29</td>
<td align="center" valign="top">1.6 (0.85, 3.1)</td>
<td align="center" valign="top">0.15</td>
<td align="center" valign="top">1.9 (0.9, 4)</td>
<td align="center" valign="top">0.06</td>
</tr>
<tr>
<td align="left" valign="top">WC</td>
<td align="center" valign="top">Normal</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">1</td>
<td/>
<td align="center" valign="top">1</td>
<td/>
</tr>
<tr>
<td/>
<td align="center" valign="top">Abnormal</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">48</td>
<td align="center" valign="top">2.6 (1.4, 5.1)</td>
<td align="center" valign="top">0.04</td>
<td align="center" valign="top">2.5 (1,3.5)</td>
<td align="center" valign="top">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NB: 1, reference category. ATV/r, ritonavir-boosted atazanavir; BMI, body mass index; AOR, adjusted odd ratio; COR, crude odd ratio; CI, confidence interval; DTG, dolutegravir; ART, antiretroviral therapy; hsCRP, high-sensitivity C-reactive protein; WC, waist circumference.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec23">
<title>Discussion</title>
<p>This study explored the levels of uric acid and hsCRP as well as their associated factors among people living with HIV taking dolutegravir and ritonavir-boosted antiretroviral therapy. This is the first study in Ethiopia, given that the drug (DTG) is relatively new for HIV management in Ethiopia.</p>
<p>The prevalence of hyperuricemia among the whole participants was 76.7% (66/172), of which 46.5% (40/86) and 30.2% (26/86) were DTG-treated and ATV/r-treated patients, respectively (<italic>p</italic>&#x2009;=&#x2009;0.028). It also found a higher mean level of uric acid among the patients treated by the DTG-based regimen than the ATV/r-based regimens. This observation is comparable to study findings from China (<xref ref-type="bibr" rid="ref59">59</xref>), Portugal (<xref ref-type="bibr" rid="ref27">27</xref>), and Japan (<xref ref-type="bibr" rid="ref26">26</xref>) but is incongruent with another study finding reported from Japan (<xref ref-type="bibr" rid="ref60">60</xref>). The proportion of treatment-na&#x00EF;ve patients (71.6% in their study and with all were treatment-experienced in our study), male participants (91.9 and 51.1% in Japan and our study, respectively), in addition to study design, sociodemographic characteristics and differences in ethnicity might contribute to this incongruency of findings Although individuals of Africans origins had the lowest hyperuricemia and gout risk allele frequencies than Asian descent (<xref ref-type="bibr" rid="ref61">61</xref>), they may respond differently to ART to result in hyperuricemia.</p>
<p>Consequently, according to our study findings, it was observed that the proportion of patients with increased hsCRP levels &#x2265;2&#x2009;mg/L was 24.4% (21/86) among patients with a DTG-based regimen and 44.2% (38/86) for patients treated with ATV/r-based regimen (<italic>p</italic>&#x2009;=&#x2009;0.006), which was in line with San Francisco (<xref ref-type="bibr" rid="ref52">52</xref>) and Boston (<xref ref-type="bibr" rid="ref62">62</xref>). On the contrary, our finding is inconsistent with a study conducted in California (<xref ref-type="bibr" rid="ref63">63</xref>). The possible reasons for this might be differences in sociodemographic, lifestyle, study design, ART combination, and ART exposure status. For instance, the study from California used TDF plus FTC as the backbone, which is TDF plus 3TC in our study. The participants were treatment-na&#x00EF;ve in California and treatment-experienced in our study. In additions, the differences in race (which is whites in California and black Africans in our study) might contribute for this inconsistency of findings. For instance, the elevated levels of hsCRP were seen among African peoples compared to Europe and the United states (<xref ref-type="bibr" rid="ref34">34</xref>). It is also essential to note that ART response of individuals might be varied due to variation in genetics that contributed for different plasma levels of hsCRP (<xref ref-type="bibr" rid="ref64">64</xref>). Furthermore, our study was designed to assess factors associated with hyperuricemia and increased hsCRP levels. Accordingly, patients taking ART for more than 24&#x2009;months were two times more likely to have hyperuricemia. This is similar to studies done in China and Nigeria (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref65">65</xref>). Patients treated with a DTG-based regimen had a two-fold higher risk of developing hyperuricemia, which was in agreement with a study finding from China (<xref ref-type="bibr" rid="ref59">59</xref>), which showed the number of patients with hyperuricemia increased with DTG-containing ART. ART-induced mitochondrial toxicity with increased lactate to compete with uric acid excretion by the renal tubules and increased cell turnover followed by increased degradation of nucleotides accompanied by elevated uric acid in the serum were some of the possibilities by which uric acid is elevated in people living with HIV on HAART (<xref ref-type="bibr" rid="ref66">66</xref>&#x2013;<xref ref-type="bibr" rid="ref69">69</xref>). Patients with waist circumferences above the cutoff level had a two-fold increased chance of developing hsCRP levels &#x2265;2&#x2009;mg/L, which is in line with a study done in Brazil (<xref ref-type="bibr" rid="ref70">70</xref>). This might be due to the fact that in obese patients, adipocytes produce powerful pro-inflammatory cytokines like tumor necrosis factor-&#x03B1; (TNF-&#x03B1;) and IL-6, which in turn stimulate the secretion of CRP in the liver and endothelial cells (<xref ref-type="bibr" rid="ref71">71</xref>). Elevated hsCRP levels increased the risk of HIV patients on HAART for ASCVD, independent of traditional risk factors (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
<p>The ATV/r was associated with elevated hsCRP levels. This is comparable to study findings from Spain (<xref ref-type="bibr" rid="ref40">40</xref>) and Italy (<xref ref-type="bibr" rid="ref72">72</xref>). Ubiquitin-specific protease 18 (USP18) inhibitions lead to activation of nuclear factor kB (NF-kB) signaling, and augmented expression of pro-inflammatory cytokines with elevated inflammatory biomarkers is the possible way by which ATV/r increases the serum level of hsCRP levels (<xref ref-type="bibr" rid="ref38">38</xref>).</p>
<sec id="sec24">
<title>Limitations and strength</title>
<p>Concerning strength, this was the first study in Ethiopia that attempted to assess the effects of DTG and ATV/r-based regimens on serum uric acid and high-sensitivity C-reactive protein levels among people living with HIV, hence ultimately adding to the limited data. In spite of this strength, this study has several weaknesses. Since it is a cross-sectional study, we cannot associate causal relationships between the factors and outcomes under study. In addition, the study sample size was small; thus, it is difficult to generalize the findings to larger populations. Moreover, HIV-positive ART-na&#x00EF;ve controls were not included, which may remove the effect of ART taken before starting DTG and ATV/r-based regimens of ART.</p>
</sec>
</sec>
<sec id="sec25">
<title>Conclusion and recommendations</title>
<p>In general, our study showed a higher mean as well as proportion of uric acid with the use of a DTG-based regimen, whereas a higher proportion of hsCRP levels was found among those treated by ATV/r-based regimens. Being on a DTG-based regimen and taking HAART for a long period of time was significantly associated with hyperuricemia. Increased waist circumference and ATV/r-based regimen were identified as significant predictors associated with increased hsCRP levels. Therefore, it is important to consider and evaluate hsCRP levels for patients with increased waist circumference and treated by ATV/r containing ART, along with uric acid levels for patients on HAART for a long duration and taking DTG containing ART, to prevent the risk of having ASCVD. For this, policymakers should take these factors into account when developing public health initiatives on ART side effects management and when strengthening on going non-communicable disease reduction programs. We propose that researchers conduct a prospective cohort study with a larger sample size to determine the exact effects of DTG and ATV/r on serum uric acid and hsCRP levels. Lastly, we suggest a comparative analysis of DTG and ATV/r containing ART in ART-na&#x00EF;ve, HIV-positive patients.</p>
</sec>
<sec sec-type="data-availability" id="sec26">
<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 authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec27">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Review Board of Jimma University with reference number: IHRPG1/5/2021. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>NW: Data curation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing, Conceptualization, Formal analysis, Investigation, Supervision. SN: Conceptualization, Investigation, Methodology, Software, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. RU: Formal analysis, Methodology, Software, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MJ: Data curation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec29">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We would like to acknowledge the data collectors and all staff at the ART clinic of JUMC for their support during data collection, Jimma University Medical Center, Jimma University, and Wolaita Sodo University for their unreserved contributions.</p>
</ack>
<sec sec-type="COI-statement" id="sec30">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec31">
<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>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr"><p>ART, antiretroviral therapy; ASCVD, atherosclerotic cardiovascular disease; ATV/r, ritonavir-boosted atazanavir; BMI, body mass index; CD4, cluster of differentiation 4; CVD, cardiovascular disease; DTG, dolutegravir; EFV, efavirenz; hsCRP, high-sensitivity C-reactive protein; IL-6, interleukin-6; INSI, integrase strand transfer inhibitor; JUMC, Jimma University Medical Centre; NF-kB, nuclear factor kappa B; SPSS, statistical package for social sciences; TDF, tenofovir; UA, uric acid.</p></fn>
</fn-group>
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