<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1109580</article-id><article-id pub-id-type="publisher-id">OALibJ-122574</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prevalence of Anemia among People Living with HIV/AIDS Starting Antiretroviral Therapy in the Era of Dolutegravir in Kinshasa, Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Berry</surname><given-names>Bongenya Ikolango</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mariano</surname><given-names>Lusakibanza</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gauthier</surname><given-names>Mesia Kahunu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Baudoin</surname><given-names>Buassa Bu Tsumbu</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Richard</surname><given-names>Kalala Lunganza</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Erick</surname><given-names>Kamangu Ntambwe</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Clinical Pharmacology Unit, Department of Pharmacology, Faculty of Medicine and Pharmaceutical Sciences, University of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff1"><addr-line>Faculty of Medicine, Bel Campus Technological University, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff4"><addr-line>“HIV/AIDS Focus” Research Group, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff3"><addr-line>Service of Molecular Biochemistry, Department of Basic Sciences, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><pub-date pub-type="epub"><day>05</day><month>01</month><year>2023</year></pub-date><volume>10</volume><issue>01</issue><fpage>1</fpage><lpage>8</lpage><history><date date-type="received"><day>16,</day>	<month>November</month>	<year>2022</year></date><date date-type="rev-recd"><day>17,</day>	<month>January</month>	<year>2023</year>	</date><date date-type="accepted"><day>20,</day>	<month>January</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Anemia remains the most frequent hematological complication during HIV/AIDS infection. 
  Objective: The objective of this study was to determine the prevalence of anemia among People Living with HIV (PLHIV) who start AntiRetroViral treatment in Kinshasa in the era of Dolutegravir. 
  Methods: This study was a descriptive cross-sectional study to determine the prevalence of anemia in PLHIV at the start of ARV Treatment (ART) in 13 Outpatient Treatment Centers (OTC) in Kinshasa. The patient inclusion period was from October 04, 2021 to February 15, 2022. Patients included in the present study were HIV type 1 infected, ART na&#239;ve, over the age of 18 and had signed informed consent for participation. The parameters of interest were: The hemoglobin level and the clinic of the patients. 
  Results: One hundred and nineteen patients were included in this work with an average age of 39.87 &#177; 12.36 years and extremities of 18 to 69 years. The most represented age group is that of 36 to 45 years with 37 patients (31.9%). Sixty-seven patients (56.3%) are female. The average value for Hemoglobin is 10.30 &#177; 2.33 g/dl. The most represented range of values is that of more than 13 g/dl with 73 patients (69.5%). Forty-nine (49) patients, or 41.5%, were in clinical stage 3. Fifty-five (55) patients, or 47.0%, had normal clinical status. 
  Conclusion: At the start of ART, 21.0% of patients presented with some form of anemia: 7.6% mild anemia, 8.6% moderate anemia and 4.8% severe anemia. About half of the patients (41.5%) were at clinical stage 3 according to WHO and more than half of all patients (47.0%) had a normal clinical condition.
 
</p></abstract><kwd-group><kwd>Anemia</kwd><kwd> PLHIV</kwd><kwd> Start of ART</kwd><kwd> Kinshasa</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Human Immunodeficiency Virus (HIV) infection and Acquired Immune Deficiency Syndrome (AIDS) are currently a major public health problem worldwide. According to the United Nations Organization for the Fight against HIV/AIDS (UNAIDS) report of 2020, the number of People Living with HIV/AIDS (PLHIV) was estimated at 37.7 million [30.2 million - 45.1 million] [<xref ref-type="bibr" rid="scirp.122574-ref1">1</xref>]. In the same year, 1.5 million [1.0 million - 2.0 million] people were newly infected with HIV/AIDS [<xref ref-type="bibr" rid="scirp.122574-ref1">1</xref>]. Sub-Saharan Africa, which bears the greatest burden of the epidemic, remains to this day the most affected region in the world [<xref ref-type="bibr" rid="scirp.122574-ref1">1</xref>].</p><p>Anemia is a problem of reduced oxygen capacity of the blood. This decrease can be caused by: insufficient number of red blood cells available, insufficient synthesis of hemoglobin, blood loss (hemolysis), etc. Hence, these deficiencies are revealed in the laboratory results relating to hemoglobin, hematocrit and red blood cell levels. These are all products of the bone marrow. Hence anemia usually occurs when the marrow does not function normally.</p><p>Anemia remains the most frequent hematological complication during HIV/AIDS infection [<xref ref-type="bibr" rid="scirp.122574-ref2">2</xref>]. It affects more than three quarters of people whose HIV infection is at an advanced stage because they are not on antiretroviral therapy or because ART is not effective. It is less common in people observant of the ARV treatment. In either case, it is essential to assess anemia at the onset and during HIV infection and to treat it because inappropriate treatment can also worsen the hemoglobin level of an immune-compromised patient [<xref ref-type="bibr" rid="scirp.122574-ref2">2</xref>].</p><p>People with HIV/AIDS are more likely than the general population to develop anemia. Compared to those who do not develop anemia, HIV-infected people who develop anemia are more likely to die early. It is therefore important to have concrete evidence on the state of anemia already at the start of treatment.</p><p>Hence, the objective of this study was to determine the prevalence of anemia in People Living with HIV starting AntiRetroViral treatment in Kinshasa in the era of Dolutegravir.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Study Design, Patient and Sample Setting</title><p>The present study was a descriptive cross-sectional study aimed at determining the prevalence of anemia in People Living with HIV (PLHIV) at the start of ARV treatment (ART) in Outpatient Treatment Centers (OTC) care of PLHIV in Kinshasa. The patient inclusion period was from October 04, 2021 to February 15, 2022. Sixteen OTCs were included in the study based on their expertise and accessibility [<xref ref-type="bibr" rid="scirp.122574-ref3">3</xref>].</p><p>After reading and signing an informed consent in the OTC, a sample of 5 ml of blood was taken in a tube with EDTA anticoagulant from the vein of the bend of the elbow for analyzes of the hemoglobin level in any patient HIV positive by serology. The hematology analyzer (HumanCount 60TS, Human, Germany) was used in the biochemistry laboratory with specific reagents according to the manufacturer’s protocol.</p></sec><sec id="s2_2"><title>2.2. Study Population</title><p>The patients included in the present study were infected with HIV type 1, na&#239;ve to ART, aged over 18 years and having signed informed consent for participation.</p></sec><sec id="s2_3"><title>2.3. Parameters of Interest</title><p>The parameters of interest followed for the present study were: the hemoglobin level and the clinic of the patients.</p></sec><sec id="s2_4"><title>2.4. Ethical Consideration</title><p>As a whole, this study was approved by the research ethics committee of the School of Public Health, Faculty of Medicine, University of Kinshasa (ESP/CE/115/2021). Approval to access the OTC was obtained from each competent authority of the various institutions included. Prior to inclusion, fully informed consent was obtained from each patient. The samples in the OTCs were taken by the technical teams of the centers. The results of the analyses were returned to the centers concerned.</p></sec><sec id="s2_5"><title>2.5. Statistical Analyzes</title><p>The analyses were carried out using SPSS software version 26 (Statistical Package for Social Sciences, IBM). Only available data were analyzed, missing data were considered completely random. Continuous variables were presented as mean &#177; standard deviation.</p></sec><sec id="s2_6"><title>2.6. Operational Definitions</title><p>Anemia is defined as a condition in which the number of red blood cells is low. Red blood cells contain hemoglobin, a protein that allows them to carry oxygen from the lungs to all tissues in the body. It results in a hemoglobin level of less than 10 g/dl in whole blood (mild anemia = 10 to 7 g/dl; moderate anemia = 7 to 4 g/dl; severe anemia = &lt;4 g/dl).</p></sec></sec><sec id="s3"><title>3. Results</title><p>One hundred and nineteen (119) patients were included in this study according to the inclusion criteria with a mean age of 39.87 &#177; 12.36 years and extremes of 18 to 69 years. The most represented age group with 37 patients (31.9%) is that of 36 to 45 years; followed by those aged 26 to 35 (20.7%), those aged 46 to 55 (19.0%) and those aged 18 to 25 (16.4%).</p><p>Sixty-seven (67) patients, or 56.3%, were female while 52 (43.7%) were male, thus presenting a sex ratio of 1.29 in favor of women.</p><p><xref ref-type="table" rid="table1">Table 1</xref> presents the data mentioned above.</p><p>Forty-nine patients (49), or 41.5%, were at clinical stage 3; followed by 40 patients (33.9%) who were at clinical stage 1, 18 patients (15.3%) at clinical stage 2 and 11 patients (9.3%) at clinical stage 4. Fifty-five (55) patients, or 47.0%, had a normal clinical condition; 39 patients (33.3%) had a good clinical condition, 22 patients (18.8%) a poor clinical condition and 1 patient (0.9%) a pre-moribund clinical condition (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The average value for Hemoglobin is 10.30 &#177; 2.33 g/dl with extreme values of 3.40 to 16.59 g/dl. The range of values most represented with 73 patients (69.5%) is that of more than 13 g/dl; followed by that of 10 to 13 g/dl (9.5%), that of 4 to 7 g/dl (8.6%), that of 7 to 10 g/dl (7.6%) and that of less of 4 g/dl (4.8%). <xref ref-type="table" rid="table3">Table 3</xref> presents the present values.</p><p>No significant correlation was presented between the anemia and the clinic of the patients on inclusion (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>The objective of this study was to determine the prevalence of anemia in People</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of the population by gender and by age group</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameters</th><th align="center" valign="middle"  colspan="2"  >Patients</th></tr></thead><tr><td align="center" valign="middle" >Values</td><td align="center" valign="middle" >Percentage</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Sex (N = 119)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >56.3</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >43.7</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Age group (N = 116)</td></tr><tr><td align="center" valign="middle" >18 - 25</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >16.4</td></tr><tr><td align="center" valign="middle" >26 - 35</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >20.7</td></tr><tr><td align="center" valign="middle" >36 - 45</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >31.9</td></tr><tr><td align="center" valign="middle" >46 - 55</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >19.0</td></tr><tr><td align="center" valign="middle" >56 - 65</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >9.5</td></tr><tr><td align="center" valign="middle" >&gt;65</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.5</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Patient clinic at inclusion</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Clinic of patients</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Clinical Stage according to WHO (N = 118)</td></tr><tr><td align="center" valign="middle" >Stage 1</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >33.9</td></tr><tr><td align="center" valign="middle" >Stage 2</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >15.3</td></tr><tr><td align="center" valign="middle" >Stage 3</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >41.5</td></tr><tr><td align="center" valign="middle" >Stage 4</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >9.3</td></tr><tr><td align="center" valign="middle"  colspan="3"  >Clinical State of patient (N = 117)</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >47.0</td></tr><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >33.3</td></tr><tr><td align="center" valign="middle" >Bad</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >18.8</td></tr><tr><td align="center" valign="middle" >Pre-moribund</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Moribund</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Range of hemoglobin values</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Values of hemoglobin (g/dl)</th><th align="center" valign="middle" >Frequency N = 105</th><th align="center" valign="middle" >Percentage</th></tr></thead><tr><td align="center" valign="middle" >&lt;4</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >4.8</td></tr><tr><td align="center" valign="middle" >4 - 7</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.6</td></tr><tr><td align="center" valign="middle" >7 - 10</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.6</td></tr><tr><td align="center" valign="middle" >10 - 13</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.5</td></tr><tr><td align="center" valign="middle" >&gt;13</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >69.5</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Correlation between the clinic of the patients and the anemia</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Etat Clinique Patient</th><th align="center" valign="middle" >Stade Clinique Du Patient</th><th align="center" valign="middle" >Examen Biologique Du Patient</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Etat Clinique Patient</td><td align="center" valign="middle" >Correlation de Pearson</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >.524<sup>**</sup></td><td align="center" valign="middle" >-.193</td></tr><tr><td align="center" valign="middle" >Sig. (two-sided)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >.000</td><td align="center" valign="middle" >.051</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >103</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Stade Clinique Du Patient</td><td align="center" valign="middle" >Correlation de Pearson</td><td align="center" valign="middle" >.524<sup>**</sup></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >-.143</td></tr><tr><td align="center" valign="middle" >Sig. (two-sided)</td><td align="center" valign="middle" >.000</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >.149</td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >118</td><td align="center" valign="middle" >104</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Examen Biologique Du Patient</td><td align="center" valign="middle" >Correlation de Pearson</td><td align="center" valign="middle" >-.193</td><td align="center" valign="middle" >-.143</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Sig. (two-sided)</td><td align="center" valign="middle" >.051</td><td align="center" valign="middle" >.149</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >N</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >104</td><td align="center" valign="middle" >105</td></tr></tbody></table></table-wrap><p>**The correlation is significant at the 0.01 level (two-sided).</p><p>Living with HIV (PLHIV) who start AntiRetroViral treatment in Kinshasa during the era of Dolutegravir. One hundred and nineteen (119) ART-na&#239;ve PLHIV were included for this work according to the inclusion criteria in 16 Outpatient Treatment Centers (OTC) dispersed in the different districts of Kinshasa, Democratic Republic of Congo.</p><p>The mean age of the patients at inclusion is 39.87 &#177; 12.36 years with extremes of 18 to 69 years. The most represented age group with 37 patients (31.9%) is that of 36 to 45 years; followed by those aged 26 to 35 (20.7%), those aged 46 to 55 (19.0%) and those aged 18 to 25 (16.4%). These results, which present the age group of 36 to 45 years as dominant in the population, are also found in various publications on PLHIV in Kinshasa for recent years [<xref ref-type="bibr" rid="scirp.122574-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.122574-ref5">5</xref>].</p><p>Sixty-seven (67) patients, or 56.3%, were female while 52 (43.7%) were male, thus presenting a sex ratio of 1.29 in favor of women. These results, which show a predominance of the female sex in a cohort of PLHIV, are similar to the trend in relation to the sex ratio presented by various works that have been published on PLHIV for Kinshasa in recent years [<xref ref-type="bibr" rid="scirp.122574-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.122574-ref5">5</xref>].</p><p>Forty-nine patients (49), or 41.5%, were at clinical stage 3; followed by 40 patients (33.9%) who were at clinical stage 1, 18 patients (15.3%) at clinical stage 2 and 11 patients (9.3%) at clinical stage 4. Fifty-five (55) patients, or 47.0%, had a normal clinical condition; followed by 39 patients (33.3%) who had a good clinical state, 22 patients (18.8%) a bad clinical state and 1 patient (0.9%) a pre-moribund clinical state. Similar results have been found by different authors for Kinshasa [<xref ref-type="bibr" rid="scirp.122574-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.122574-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.122574-ref6">6</xref>]. They present a late diagnosis of patients which impacts on the care and prognosis of the follow-up of PLHIV because of the advanced stage of the infection during screening.</p><p>The average value for Hemoglobin is 10.30 &#177; 2.33 g/dl with extreme values of 3.4 to 16.59 g/dl. The range of values most represented with 73 patients (69.5%) is that of more than 13 g/dl; followed by that of 10 to 13 g/dl (9.5%), that of 4 to 7 g/dl (8.6%), that of 7 to 10 g/dl (7.6%) and that of less of 4 g/dl (4.8%). In the present cohort at the start of ART, 21.0% of patients presented with some form of anemia: 7.6% mild anemia, 8.6% moderate anemia and 4.8% severe anemia. It is therefore important to monitor the hemoglobin level of PLHIV already at the start of TRAV so that the latter is effective and accommodating for the patient, such as the choice of molecules to be prescribed for treatment. Previous data presented an average of 9.30 &#177; 2.90 g/dl in PLHIV without taking into account the duration of ART [<xref ref-type="bibr" rid="scirp.122574-ref5">5</xref>], and a prevalence of 55.1% in the population of adult PLHIV without taking into account clinical stages of patients [<xref ref-type="bibr" rid="scirp.122574-ref7">7</xref>]. These results from the literature are justifiable by the duration of treatment and the AntiRetrovirals used by PLHIV because anemia can also be caused by ARVs such as Azythromicine (AZT), as well as other antimalarial and anti-malarial drugs, Hepatitis C.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In the present cohort, at the start of ART, 21.0% of patients presented with some form of anemia: 7.6% mild anemia, 8.6% moderate anemia and 4.8% severe anemia. About half of the patients (41.5%) were at clinical stage 3 according to WHO and more than half of all patients (47.0%) had a normal clinical condition. It is therefore important to monitor the hemoglobin level of PLHIV already at the start of ART so that the latter is effective and accommodating for the patient, such as the choice of molecules to be prescribed for treatment.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The authors would like to thank the patients of the various centers who agreed to participate in this work, all the teams of service providers from the outpatient treatment centers of Kinshasa who participated, as well as all the administrative authorities who facilitated the progress of the work. A very special thank you is addressed to the Biochemistry Laboratory of the Faculty of Pharmaceutical Sciences of the University of Kinshasa.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflict of interest for this study.</p></sec><sec id="s8"><title>Cite this paper</title><p>Ikolango, B.B., Lusakibanza, M., Kahunu, G.M., Tsumbu, B.B.B., Lunganza, R.K. and Ntambwe, E.K. (2023) Prevalence of Anemia among People Living with HIV/AIDS Starting Antiretroviral Therapy in the Era of Dolutegravir in Kinshasa, Democratic Republic of Congo. Open Access Library Journal, 10: e9580. https://doi.org/10.4236/oalib.1109580</p></sec><sec id="s9"><title>List of Abbreviations and Acronyms</title><p>ART: AntiRetroViral Treatment;</p><p>ARV: AntiRetroViral;</p><p>DRC: Democratic Republic of Congo;</p><p>DTG: Dolutegravir;</p><p>HIV: Human Immunodeficiency Virus;</p><p>OTC: Outpatient Treatment Center;</p><p>PLHIV: Person Living with Human Immunodeficiency Virus.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.122574-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">United Nations AIDS Program (UNAIDS) (2020) Country Factsheets: Democratic Republic of the Congo.  
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