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Anemia among adult HIV patients in Ethiopia: a hospital-based cross-sectional study

Identifieur interne : 002446 ( Pmc/Curation ); précédent : 002445; suivant : 002447

Anemia among adult HIV patients in Ethiopia: a hospital-based cross-sectional study

Auteurs : Hermela Melese ; Molla Mesele Wassie ; Haile Woldie ; Abilo Tadesse [Éthiopie] ; Nebiyu Mesfin [Éthiopie]

Source :

RBID : PMC:5317259

Abstract

Background

Anemia is a major public health problem in HIV patients around the world. It has a negative effect on the quality of life of HIV patients and progression of the HIV disease. In the sub-Saharan African setting, including Ethiopia where both HIV infection and under-nutrition are expected to be high, there is a paucity of data on the matter. This study was aimed to reveal the magnitude and factors associated with anemia among adult HIV patients in Debre-Tabor Hospital, northwest Ethiopia.

Methods

A hospital-based cross-sectional study was used among adult HIV patients in Debre-Tabor Hospital from April 1 to May 30, 2015. The diagnosis of anemia was made following the 2011 World Health Organization recommendation on hemoglobin cut-off points. Univariable and multivariable logistic regression was carried out to assess factors associated with anemia.

Results

A total of 377 patients’ charts were reviewed. Most of the participants (n=237, 62.9%) were taking antiretroviral treatment (ART). The overall prevalence of anemia was 23% (95% CI: 19.1, 27.6). Being ART-naïve (adjusted odds ratio [AOR]: 3.37; 95% CI: 1.59, 7.14), having treatment history with anti-tuberculosis (TB) drug (AOR: 3.2; 95% CI: 1.19, 8.67), taking zidovudine (ZDV)-containing ART regimen (AOR: 2.14; 95% CI: 1.03, 4.57), and having recent CD4+ T-lymphocytes count of <200 cells/μL (AOR: 2.13; 95% CI: 1.04, 4.36) were associated with occurrence of anemia among adult HIV patients.

Conclusion and recommendation

Anemia continues to be a major co-morbidity among adult HIV patients in Ethiopia. Adult HIV patients who are taking ZDV-containing ART, with a history of TB treatment, have a low CD4+T-lymphocytes count and are ART-naïve should be carefully screened and treated for anemia.


Url:
DOI: 10.2147/HIV.S121021
PubMed: 28243151
PubMed Central: 5317259

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Hermela Melese
<affiliation>
<nlm:aff id="af1-hiv-9-025">HIV Follow-up Care Clinic, Debre-Tabor Hospital, Debre-Tabor</nlm:aff>
<wicri:noCountry code="subfield">Debre-Tabor</wicri:noCountry>
</affiliation>
Molla Mesele Wassie
<affiliation>
<nlm:aff id="af2-hiv-9-025">Department of Human Nutrition, Institute of Public Health</nlm:aff>
<wicri:noCountry code="subfield">Institute of Public Health</wicri:noCountry>
</affiliation>
Haile Woldie
<affiliation>
<nlm:aff id="af2-hiv-9-025">Department of Human Nutrition, Institute of Public Health</nlm:aff>
<wicri:noCountry code="subfield">Institute of Public Health</wicri:noCountry>
</affiliation>

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<journal-id journal-id-type="nlm-ta">HIV AIDS (Auckl)</journal-id>
<journal-id journal-id-type="iso-abbrev">HIV AIDS (Auckl)</journal-id>
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<article-id pub-id-type="publisher-id">hiv-9-025</article-id>
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<name>
<surname>Melese</surname>
<given-names>Hermela</given-names>
</name>
<xref ref-type="aff" rid="af1-hiv-9-025">1</xref>
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<name>
<surname>Wassie</surname>
<given-names>Molla Mesele</given-names>
</name>
<xref ref-type="aff" rid="af2-hiv-9-025">2</xref>
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<surname>Woldie</surname>
<given-names>Haile</given-names>
</name>
<xref ref-type="aff" rid="af2-hiv-9-025">2</xref>
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<surname>Tadesse</surname>
<given-names>Abilo</given-names>
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<xref ref-type="aff" rid="af3-hiv-9-025">3</xref>
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<contrib contrib-type="author">
<name>
<surname>Mesfin</surname>
<given-names>Nebiyu</given-names>
</name>
<xref ref-type="aff" rid="af3-hiv-9-025">3</xref>
<xref ref-type="corresp" rid="c1-hiv-9-025"></xref>
</contrib>
</contrib-group>
<aff id="af1-hiv-9-025">
<label>1</label>
HIV Follow-up Care Clinic, Debre-Tabor Hospital, Debre-Tabor</aff>
<aff id="af2-hiv-9-025">
<label>2</label>
Department of Human Nutrition, Institute of Public Health</aff>
<aff id="af3-hiv-9-025">
<label>3</label>
Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia</aff>
<author-notes>
<corresp id="c1-hiv-9-025">Correspondence: Nebiyu Mesfin, Department of Internal Medicine, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Chechela Street, PO Box 209, Gondar, Ethiopia, Email
<email>hakimulig@gmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>14</day>
<month>2</month>
<year>2017</year>
</pub-date>
<volume>9</volume>
<fpage>25</fpage>
<lpage>30</lpage>
<permissions>
<copyright-statement>© 2017 Melese et al. This work is published and licensed by Dove Medical Press Limited</copyright-statement>
<copyright-year>2017</copyright-year>
<license>
<license-p>The full terms of this license are available at
<ext-link ext-link-type="uri" xlink:href="https://www.dovepress.com/terms.php">https://www.dovepress.com/terms.php</ext-link>
and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (
<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>
). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Anemia is a major public health problem in HIV patients around the world. It has a negative effect on the quality of life of HIV patients and progression of the HIV disease. In the sub-Saharan African setting, including Ethiopia where both HIV infection and under-nutrition are expected to be high, there is a paucity of data on the matter. This study was aimed to reveal the magnitude and factors associated with anemia among adult HIV patients in Debre-Tabor Hospital, northwest Ethiopia.</p>
</sec>
<sec>
<title>Methods</title>
<p>A hospital-based cross-sectional study was used among adult HIV patients in Debre-Tabor Hospital from April 1 to May 30, 2015. The diagnosis of anemia was made following the 2011 World Health Organization recommendation on hemoglobin cut-off points. Univariable and multivariable logistic regression was carried out to assess factors associated with anemia.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 377 patients’ charts were reviewed. Most of the participants (n=237, 62.9%) were taking antiretroviral treatment (ART). The overall prevalence of anemia was 23% (95% CI: 19.1, 27.6). Being ART-naïve (adjusted odds ratio [AOR]: 3.37; 95% CI: 1.59, 7.14), having treatment history with anti-tuberculosis (TB) drug (AOR: 3.2; 95% CI: 1.19, 8.67), taking zidovudine (ZDV)-containing ART regimen (AOR: 2.14; 95% CI: 1.03, 4.57), and having recent CD4+ T-lymphocytes count of <200 cells/μL (AOR: 2.13; 95% CI: 1.04, 4.36) were associated with occurrence of anemia among adult HIV patients.</p>
</sec>
<sec>
<title>Conclusion and recommendation</title>
<p>Anemia continues to be a major co-morbidity among adult HIV patients in Ethiopia. Adult HIV patients who are taking ZDV-containing ART, with a history of TB treatment, have a low CD4+T-lymphocytes count and are ART-naïve should be carefully screened and treated for anemia.</p>
</sec>
</abstract>
<kwd-group>
<title>Keywords</title>
<kwd>anemia</kwd>
<kwd>HIV/AIDS</kwd>
<kwd>antiretroviral treatment</kwd>
<kwd>ZDV toxicity</kwd>
<kwd>Ethiopia</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<table-wrap id="t1-hiv-9-025" position="float">
<label>Table 1</label>
<caption>
<p>Socioeconomic and demographic characteristics of adult HIV patients at Debre-Tabor Hospital, northwest Ethiopia, 2015 (n=377)</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="1" colspan="1">Background characteristics</th>
<th valign="top" align="left" rowspan="1" colspan="1">Not anemic, n (%)</th>
<th valign="top" align="left" rowspan="1" colspan="1">Anemic, n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Sex</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Male</td>
<td valign="top" align="left" rowspan="1" colspan="1">110 (37.9)</td>
<td valign="top" align="left" rowspan="1" colspan="1">33 (37.9)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Female</td>
<td valign="top" align="left" rowspan="1" colspan="1">180 (62.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">54 (62.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">
<bold>Age of the patient, years</bold>
</td>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
<td valign="top" align="left" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">15–29</td>
<td valign="top" align="left" rowspan="1" colspan="1">71 (24.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">21 (24.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">30–39</td>
<td valign="top" align="left" rowspan="1" colspan="1">126 (43.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">44 (50.6)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">40–49</td>
<td valign="top" align="left" rowspan="1" colspan="1">71 (24.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">16 (18.4)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">≥50</td>
<td valign="top" align="left" rowspan="1" colspan="1">22 (7.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">6 (6.9)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Residence</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Urban</td>
<td valign="top" align="left" rowspan="1" colspan="1">226 (77.9)</td>
<td valign="top" align="left" rowspan="1" colspan="1">65 (74.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Rural</td>
<td valign="top" align="left" rowspan="1" colspan="1">64 (22.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">22 (25.3)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Religion</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Orthodox Christian</td>
<td valign="top" align="left" rowspan="1" colspan="1">284 (97.9)</td>
<td valign="top" align="left" rowspan="1" colspan="1">83 (95.4)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Others
<xref ref-type="table-fn" rid="tfn1-hiv-9-025">a</xref>
</td>
<td valign="top" align="left" rowspan="1" colspan="1">6 (2.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">4 (4.6)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Marital status of the patient</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Single</td>
<td valign="top" align="left" rowspan="1" colspan="1">54 (18.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">22 (25.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Married</td>
<td valign="top" align="left" rowspan="1" colspan="1">149 (51.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">42 (48.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Divorced</td>
<td valign="top" align="left" rowspan="1" colspan="1">31 (10.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">6 (6.9)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Widowed</td>
<td valign="top" align="left" rowspan="1" colspan="1">45 (15.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">14 (16.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Separated</td>
<td valign="top" align="left" rowspan="1" colspan="1">11 (3.8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">3 (3.4)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Ethnicity</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Amhara</td>
<td valign="top" align="left" rowspan="1" colspan="1">288 (99.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">87 (100)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Tigrie</td>
<td valign="top" align="left" rowspan="1" colspan="1">2 (0.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">0 (0.0)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Educational status</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Unable to read and write</td>
<td valign="top" align="left" rowspan="1" colspan="1">94 (32.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">17 (19.5)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Read and write</td>
<td valign="top" align="left" rowspan="1" colspan="1">19 (6.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">5 (5.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Primary school (years 1–8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">65 (22.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">27 (31.0)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Secondary school (years 9–12)</td>
<td valign="top" align="left" rowspan="1" colspan="1">59 (20.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">21 (24.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">College/university</td>
<td valign="top" align="left" rowspan="1" colspan="1">53 (18.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">17 (19.5)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Employment status of the patient</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Civil servant</td>
<td valign="top" align="left" rowspan="1" colspan="1">74 (25.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">26 (29.9)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Daily laborer</td>
<td valign="top" align="left" rowspan="1" colspan="1">34 (11.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">7 (8.0)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Merchant</td>
<td valign="top" align="left" rowspan="1" colspan="1">41 (14.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">14 (16.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">House wife</td>
<td valign="top" align="left" rowspan="1" colspan="1">71 (24.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">19 (21.8)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Farmer</td>
<td valign="top" align="left" rowspan="1" colspan="1">31 (10.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">11 (12.6)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Student</td>
<td valign="top" align="left" rowspan="1" colspan="1">17 (5.9)</td>
<td valign="top" align="left" rowspan="1" colspan="1">2 (2.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Unemployed</td>
<td valign="top" align="left" rowspan="1" colspan="1">9 (3.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1 (1.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Other
<xref ref-type="table-fn" rid="tfn2-hiv-9-025">b</xref>
</td>
<td valign="top" align="left" rowspan="1" colspan="1">13 (4.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">7 (8.0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>Notes:</bold>
</p>
</fn>
<fn id="tfn1-hiv-9-025">
<label>a</label>
<p>Muslims and protestants,</p>
</fn>
<fn id="tfn2-hiv-9-025">
<label>b</label>
<p>sex workers, carpenters, shop keepers, waiters, retired workers, and garage workers.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t2-hiv-9-025" position="float">
<label>Table 2</label>
<caption>
<p>Clinical characteristics of adult HIV patients at Debre–Tabor Hospital, northwest Ethiopia, 2015 (n=377)</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="1" colspan="1">Background characteristics</th>
<th valign="top" align="left" rowspan="1" colspan="1">Not anemic, n (%)</th>
<th valign="top" align="left" rowspan="1" colspan="1">Anemic, n (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>CD4 count (cells/mm
<sup>3</sup>
)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"><200</td>
<td valign="top" align="left" rowspan="1" colspan="1">68 (23.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">58 (66.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">≥200</td>
<td valign="top" align="left" rowspan="1" colspan="1">222 (76.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">29 (33.3)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>WBC count (cells/mm
<sup>3</sup>
)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"><4000</td>
<td valign="top" align="left" rowspan="1" colspan="1">36 (12.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">37 (42.5)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">≥4000</td>
<td valign="top" align="left" rowspan="1" colspan="1">254 (87.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">50 (57.5)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Platelet count (cells/mm
<sup>3</sup>
)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"><200,000</td>
<td valign="top" align="left" rowspan="1" colspan="1">42 (14.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">34 (39.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">≥200,000</td>
<td valign="top" align="left" rowspan="1" colspan="1">248 (85.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">53 (60.9)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>Nutritional status (Body mass index)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Normal</td>
<td valign="top" align="left" rowspan="1" colspan="1">222 (76.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">59 (67.8)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Under weight</td>
<td valign="top" align="left" rowspan="1" colspan="1">56 (19.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">26 (29.9)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Over weight</td>
<td valign="top" align="left" rowspan="1" colspan="1">11 (3.8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">2 (2.3)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Obesity</td>
<td valign="top" align="left" rowspan="1" colspan="1">1 (0.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">0 (0.0)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>WHO clinical stage</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Stage I</td>
<td valign="top" align="left" rowspan="1" colspan="1">169 (58.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">18 (20.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Stage II</td>
<td valign="top" align="left" rowspan="1" colspan="1">63 (21.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">5 (5.7)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Stage III</td>
<td valign="top" align="left" rowspan="1" colspan="1">50 (17.2)</td>
<td valign="top" align="left" rowspan="1" colspan="1">47 (54.0)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Stage IV</td>
<td valign="top" align="left" rowspan="1" colspan="1">8 (2.8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">17 (19.5)</td>
</tr>
<tr>
<td colspan="3" valign="top" align="left" rowspan="1">
<bold>ART exposure status</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Naïve</td>
<td valign="top" align="left" rowspan="1" colspan="1">79 (27.2)</td>
<td valign="top" align="left" rowspan="1" colspan="1">61 (70.1)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Users</td>
<td valign="top" align="left" rowspan="1" colspan="1">211 (72.8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">26 (29.9)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-hiv-9-025">
<p>
<bold>Note:</bold>
Body mass index classification: normal: 18.5–24.9 kg/m
<sup>2</sup>
; under weight: <18.5 kg/m
<sup>2</sup>
; overweight: 25.0–29.9 kg/m
<sup>2</sup>
; obesity ≥30 kg/m
<sup>2</sup>
.</p>
</fn>
<fn id="tfn4-hiv-9-025">
<p>
<bold>Abbreviations:</bold>
ART, antiretroviral therapy; WBC, white blood cell; WHO, World Health Organization.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="t3-hiv-9-025" position="float">
<label>Table 3</label>
<caption>
<p>Factors associated with anemia among adult HIV patients at Debre–Tabor Hospital, northwest Ethiopia, 2015 (n=377)</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" valign="top" align="left" colspan="1">Characteristics</th>
<th colspan="4" valign="top" align="left" rowspan="1">Anemia status
<hr></hr>
</th>
</tr>
<tr>
<th valign="top" align="left" rowspan="1" colspan="1">Yes, n (%)</th>
<th valign="top" align="left" rowspan="1" colspan="1">No, n (%)</th>
<th valign="top" align="left" rowspan="1" colspan="1">COR (95% CI)</th>
<th valign="top" align="left" rowspan="1" colspan="1">AOR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="5" valign="top" align="left" rowspan="1">
<bold>Educational status</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Unable to read and write</td>
<td valign="top" align="left" rowspan="1" colspan="1">17 (15.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">94 (84.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Read and write</td>
<td valign="top" align="left" rowspan="1" colspan="1">5 (20.8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">19 (79.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1.46 (0.48, 4.43)</td>
<td valign="top" align="left" rowspan="1" colspan="1">0.71 (1.78, 2.82)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Primary school (years 1–8)</td>
<td valign="top" align="left" rowspan="1" colspan="1">27(29.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">65 (70.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">2.29 (1.16, 4.55)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1.61 (0.65, 4.00)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Secondary school (years 9–12)</td>
<td valign="top" align="left" rowspan="1" colspan="1">21 (26.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">59 (73.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1.97 (0.96, 4.03)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1.51 (0.58, 3.92)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">College/university</td>
<td valign="top" align="left" rowspan="1" colspan="1">17 (24.3)</td>
<td valign="top" align="left" rowspan="1" colspan="1">53 (75.7)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1.77 (0.84, 3.76)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1.56 (0.58, 4.18)</td>
</tr>
<tr>
<td colspan="5" valign="top" align="left" rowspan="1">
<bold>ART regimen</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">ZDV-containing</td>
<td valign="top" align="left" rowspan="1" colspan="1">46 (41.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">66 (58.9)</td>
<td valign="top" align="left" rowspan="1" colspan="1">3.80 (2.30, 6.29)</td>
<td valign="top" align="left" rowspan="1" colspan="1">2.14 (1.03, 4.57)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Not ZDV-containing</td>
<td valign="top" align="left" rowspan="1" colspan="1">41 (15.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">224 (84.5)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td colspan="5" valign="top" align="left" rowspan="1">
<bold>Anti-TB treatment history</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Yes</td>
<td valign="top" align="left" rowspan="1" colspan="1">22 (62.9)</td>
<td valign="top" align="left" rowspan="1" colspan="1">13 (37.1)</td>
<td valign="top" align="left" rowspan="1" colspan="1">7.21 (3.45, 15.07)</td>
<td valign="top" align="left" rowspan="1" colspan="1">3.23 (1.20, 8.69)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">No</td>
<td valign="top" align="left" rowspan="1" colspan="1">65 (19)</td>
<td valign="top" align="left" rowspan="1" colspan="1">277 (81)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td colspan="5" valign="top" align="left" rowspan="1">
<bold>ART exposure status</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Naïve</td>
<td valign="top" align="left" rowspan="1" colspan="1">61 (43.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">79 (56.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">6.27 (3.70, 10.61)</td>
<td valign="top" align="left" rowspan="1" colspan="1">3.24 (1.55, 6.80)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">Users</td>
<td valign="top" align="left" rowspan="1" colspan="1">26 (11)</td>
<td valign="top" align="left" rowspan="1" colspan="1">211 (89)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
</tr>
<tr>
<td colspan="5" valign="top" align="left" rowspan="1">
<bold>CD4+ T-lymphocytes (Cells/mL)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1"><200</td>
<td valign="top" align="left" rowspan="1" colspan="1">58 (46)</td>
<td valign="top" align="left" rowspan="1" colspan="1">68 (54)</td>
<td valign="top" align="left" rowspan="1" colspan="1">6.53 (3.87, 11.00)</td>
<td valign="top" align="left" rowspan="1" colspan="1">2.06 (1.01, 4.19)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="1" colspan="1">≥200</td>
<td valign="top" align="left" rowspan="1" colspan="1">29 (11.6)</td>
<td valign="top" align="left" rowspan="1" colspan="1">222 (88.4)</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
<td valign="top" align="left" rowspan="1" colspan="1">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn5-hiv-9-025">
<p>
<bold>Abbreviations:</bold>
AOR, adjusted odds ratio; ART, antiretroviral therapy; COR, crude odds ratio; TB, tuberculosis; ZDV, zidovudine.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
</record>

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