<?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">WJA</journal-id><journal-title-group><journal-title>World Journal of AIDS</journal-title></journal-title-group><issn pub-type="epub">2160-8814</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/wja.2023.132005</article-id><article-id pub-id-type="publisher-id">WJA-125444</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Evolutionary Profile of Opportunistic Infections in People Living with Human Immunodeficiency Virus during Six Months of Dolutegravir Based Antiretroviral Treatment 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>Ikolango Bongenya</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>Marie-Thérèse</surname><given-names>Ayane Safi Sombo</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>Benoit</surname><given-names>Oben Kabengele</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>Guy</surname><given-names>Makila Mabe Bumoko</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>Erick</surname><given-names>Ntambwe Kamangu</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Internal Medicine, University Clinic of Kinshasa, Faculty of Medicine, 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="aff2"><addr-line>Department of Neurology, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff4"><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>05</month><year>2023</year></pub-date><volume>13</volume><issue>02</issue><fpage>47</fpage><lpage>56</lpage><history><date date-type="received"><day>6,</day>	<month>March</month>	<year>2023</year></date><date date-type="rev-recd"><day>2,</day>	<month>June</month>	<year>2023</year>	</date><date date-type="accepted"><day>5,</day>	<month>June</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: Opportunistic infections (OI), which are still a major problem in the care of People Living with HIV (PLHIV), occur in situations of immunosuppression. The AntiRetroViral Treatments (ART) used allow a spectacular reduction in the frequency of Opportunistic Infections.
   Objective: The objective of this study is to present the evolution of Opportunistic Infections in People Living with HIV under AntiRetroViral Treatment in Kinshasa in the era of Dolutegravir. 
  Methods: The present study is a prospective cohort to present the evolutionary profile of OIs in PLHIV on ART for 6 months in Outpatient Treatment Centers (OTC) in Kinshasa. Sixteen OTCs had been included. The population of the present work was patients over 18 years of age at inclusion, infected with HIV-1 and initiating ART in the selected OTC. 
  Results: On inclusion, 119 patients were included of which 56.3% were women. Malaria (45.4%), tuberculosis (29.4%) and cutaneous pruritus (23.5%) were the most common Opportunistic Infections (OIs). In the third month of ART, 37 patients came for the consultation of which 70.3% were women. Non-specific STIs (97.3%), skin pruritus (37.8%) and malaria (24.3%) were the dominant OIs among patients. At the sixth month of ART, 62 patients came for the medical consultation of which 61.3% were women. Skin pruritus (25.8%), dermatitis (22.6%) and rash (21%) were the most common OIs.
   Conclusion: The evolutionary profile is marked by the conservation of Opportunistic Infections such as dermatitis (pruritus and rashes) and malaria.
 
</p></abstract><kwd-group><kwd>Opportunistic Infections</kwd><kwd> ART Initiation</kwd><kwd> PLHIV</kwd><kwd> Kinshasa</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>Abstract</title><p>Background: Opportunistic infections (OI), which are still a major problem in the care of People Living with HIV (PLHIV), occur in situations of immunosuppression. The AntiRetroViral Treatments (ART) used allow a spectacular reduction in the frequency of Opportunistic Infections. Objective: The objective of this study is to present the evolution of Opportunistic Infections in People Living with HIV under AntiRetroViral Treatment in Kinshasa in the era of Dolutegravir. Methods: The present study is a prospective cohort to present the evolutionary profile of OIs in PLHIV on ART for 6 months in Outpatient Treatment Centers (OTC) in Kinshasa. Sixteen OTCs had been included. The population of the present work was patients over 18 years of age at inclusion, infected with HIV-1 and initiating ART in the selected OTC. Results: On inclusion, 119 patients were included of which 56.3% were women. Malaria (45.4%), tuberculosis (29.4%) and cutaneous pruritus (23.5%) were the most common Opportunistic Infections (OIs). In the third month of ART, 37 patients came for the consultation of which 70.3% were women. Non-specific STIs (97.3%), skin pruritus (37.8%) and malaria (24.3%) were the dominant OIs among patients. At the sixth month of ART, 62 patients came for the medical consultation of which 61.3% were women. Skin pruritus (25.8%), dermatitis (22.6%) and rash (21%) were the most common OIs. Conclusion: The evolutionary profile is marked by the conservation of Opportunistic Infections such as dermatitis (pruritus and rashes) and malaria.</p><p>Keywords:</p><p>Opportunistic Infections, ART Initiation, PLHIV, Kinshasa</p><disp-formula id="scirp.125444-formula1"><graphic  xlink:href="//html.scirp.org/file/2-1410169x6.png"  xlink:type="simple"/></disp-formula></sec><sec id="s2"><title>1. Introduction</title><p>Human Immunodeficiency Virus (HIV) infection affects all social strata throughout the world. Nearly 2/3 of those infected are located in Sub-Saharan Africa (SSA), which bears the heavy burden of this epidemic [<xref ref-type="bibr" rid="scirp.125444-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref3">3</xref>] . The advent of AntiRetroViral Treatments (ART) has made it possible to modify the natural history of the infection. The ARTs used today allow a significant improvement in the survival of People Living with HIV (PLHIV), a slowing down of immune degradation, as well as a spectacular reduction in the frequency of Opportunistic Infections (OI) [<xref ref-type="bibr" rid="scirp.125444-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref3">3</xref>] . They constitute the main part of the symptomatology of HIV infection responsible for a heavy mortality and morbidity of PLHIV, especially in developing countries [<xref ref-type="bibr" rid="scirp.125444-ref3">3</xref>] . Most OIs respond to specific treatment. The effectiveness of this treatment is closely linked to the precocity of its initiation and to immune restoration thanks to ART [<xref ref-type="bibr" rid="scirp.125444-ref4">4</xref>] . The control of HIV infection today has great hopes in its management.</p><p>ART can make the Viral Load (VL) permanently undetectable and maintain or restore immunity [<xref ref-type="bibr" rid="scirp.125444-ref5">5</xref>] . OIs occur in PLHIV in situations of immunosuppression that are often caused by late management or rupture of AntiRetroVirals (ARVs). It is in this situation that the OIs declare themselves and lead them to Acquired Immunodeficiency Syndrome (AIDS).</p><p>In the Democratic Republic of Congo (DRC), OIs are still a major problem in the management of PLHIV [<xref ref-type="bibr" rid="scirp.125444-ref6">6</xref>] . In different centers, this management is often limited to the treatment of OIs. Some local studies have shown that Tuberculosis, Candidiasis, Pneumonia and Malaria are the most common infections found in the population [<xref ref-type="bibr" rid="scirp.125444-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref11">11</xref>] . Nevertheless, knowledge about OIs throughout ART is still limited in Kinshasa, especially since the introduction of Dolutegravir (DTG) in the care of PLHIV.</p><p>Hence the objective of this study is to present the evolution of Opportunistic Infections in People Living with HIV under AntiRetroViral Treatment in Kinshasa in the era of Dolutegravir.</p></sec><sec id="s3"><title>2. Methods</title><sec id="s3_1"><title>2.1. Study Design, Patient and Sample Setting</title><p>The present study is a prospective cohort to determine the evolutionary profile of Opportunistic Infections (OI) in People Living with HIV (PLHIV) who are on ART from D0 to M6 followed in HIV Outpatient Treatment Centers (OTC) in Kinshasa. Sixteen (16) OTCs were included based on their expertise in the care of PLHIV and their accessibility [<xref ref-type="bibr" rid="scirp.125444-ref12">12</xref>] . The patient inclusion period was from October 04, 2021 to February 15, 2022.</p><p>Data on Opportunistic Infections (OI) were recorded on the worksheets previously tested by the study team.</p></sec><sec id="s3_2"><title>2.2. Study Population</title><p>The population of interest was patients over the age of 18 years at inclusion, infected with HIV-1 and initiating ART in a selected OTC during the inclusion period (October 04, 2021 to February 15, 2022). Patients were included on the following criteria: to be diagnosed as PLHIV at the OTC, to be at least 18 years old at inclusion and na&#239;ve to ART. PLHIV were followed in the respective OTCs for 6 months.</p></sec><sec id="s3_3"><title>2.3. Parameters of Interest</title><p>The parameters of interest followed for the present study were: age, sex, clinical state and opportunistic infections found in PLHIV on ART at D0, M3 and M6.</p></sec><sec id="s3_4"><title>2.4. Operational Definitions</title><p>An Opportunistic Infection is an infection due to germs that are usually not very aggressive but whose pathogenicity is amplified by the patient’s deficient immune system, his sensitivity to infections.</p></sec><sec id="s3_5"><title>2.5. Ethical Consideration</title><p>This study has been approved as a whole by the research ethics committee of the School of Public Health, Faculty of Medicine, University of Kinshasa (ESP/CE/ 115/2021). Authorization to enter the OTCs has been taken from the managers of the various centers included. Prior to inclusion, fully informed consent was obtained from each participant.</p></sec><sec id="s3_6"><title>2.6. Statistical Analyzes</title><p>The analyzes were carried out using SPSS version 26 software (Statistical Packaging for Social Sciences, IBM). Only available data were analyzed, missing data were considered completely random. Correlations were sought using Pearson’s correlation test.</p></sec></sec><sec id="s4"><title>3. Results</title><sec id="s4_1"><title>3.1. At Inclusion (D0)</title><p>One hundred and nineteen (119) patients were included in this study respecting the inclusion criteria. Fifty-two (52) patients, or 43.7%, included in the study are men while 67 patients (56.3%) are women; thus giving a sex ratio of 1.29 in favor of women.</p><p>The average age of patients included on D0 is 39.87 &#177; 12.36 years with extremities of 18 to 69 years. The most represented age group is that of 36 to 45 years with 37 patients (31.9%) followed by that of 26 to 35 years with 24 patients (20.7%), that of 46 to 55 years with 22 patients (19.0%) and that of 18 to 25 years with 19 patients (16.4%). These data are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Forty-nine patients (49), or 41.5%, were at WHO 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. <xref ref-type="table" rid="table2">Table 2</xref> presents the clinical aspects of the patients.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of the population by sex and age group</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameters</th><th align="center" valign="middle"  colspan="3"  >Patients (%)</th></tr></thead><tr><td align="center" valign="middle" >J0 (N = 119)</td><td align="center" valign="middle" >M3 (37)</td><td align="center" valign="middle" >M6 (62)</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Sex</td></tr><tr><td align="center" valign="middle" >Women</td><td align="center" valign="middle" >56.3</td><td align="center" valign="middle" >70.3</td><td align="center" valign="middle" >61.3</td></tr><tr><td align="center" valign="middle" >Men</td><td align="center" valign="middle" >43.7</td><td align="center" valign="middle" >29.7</td><td align="center" valign="middle" >38.7</td></tr><tr><td align="center" valign="middle"  colspan="4"  >Age Interval (years)</td></tr><tr><td align="center" valign="middle" >18 - 25</td><td align="center" valign="middle" >16.4</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >13.3</td></tr><tr><td align="center" valign="middle" >26 - 35</td><td align="center" valign="middle" >20.7</td><td align="center" valign="middle" >24.3</td><td align="center" valign="middle" >18.3</td></tr><tr><td align="center" valign="middle" >36 - 45</td><td align="center" valign="middle" >31.9</td><td align="center" valign="middle" >27.1</td><td align="center" valign="middle" >26.7</td></tr><tr><td align="center" valign="middle" >46 - 55</td><td align="center" valign="middle" >19.0</td><td align="center" valign="middle" >32.4</td><td align="center" valign="middle" >25.0</td></tr><tr><td align="center" valign="middle" >56 - 65</td><td align="center" valign="middle" >9.5</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >16.7</td></tr><tr><td align="center" valign="middle" >&gt;65</td><td align="center" valign="middle" >2.5</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Clinical parameters of PLHIV from D0 to M6</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameters</th><th align="center" valign="middle"  colspan="4"  >Patients (%)</th></tr></thead><tr><td align="center" valign="middle" >J0 (n = 119)</td><td align="center" valign="middle" >M1 (n = 42)</td><td align="center" valign="middle" >M3 (n = 37)</td><td align="center" valign="middle" >M6 (n = 62)</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Clinical stage according to WHO</td></tr><tr><td align="center" valign="middle" >Stage 1</td><td align="center" valign="middle" >33.9</td><td align="center" valign="middle" >48.7</td><td align="center" valign="middle" >38.9</td><td align="center" valign="middle" >29.1</td></tr><tr><td align="center" valign="middle" >Stage 2</td><td align="center" valign="middle" >15.3</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >19.4</td><td align="center" valign="middle" >9.1</td></tr><tr><td align="center" valign="middle" >Stage 3</td><td align="center" valign="middle" >41.5</td><td align="center" valign="middle" >45.9</td><td align="center" valign="middle" >41.7</td><td align="center" valign="middle" >61.8</td></tr><tr><td align="center" valign="middle" >Stage 4</td><td align="center" valign="middle" >9.3</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Clinical state</td></tr><tr><td align="center" valign="middle" >Normal</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >65.8</td><td align="center" valign="middle" >67.6</td><td align="center" valign="middle" >67.9</td></tr><tr><td align="center" valign="middle" >Good</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >34.2</td><td align="center" valign="middle" >32.4</td><td align="center" valign="middle" >28.3</td></tr><tr><td align="center" valign="middle" >Bad</td><td align="center" valign="middle" >18.8</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3.8</td></tr><tr><td align="center" valign="middle" >Moribund</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Pre-Moribund</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><p>The Opportunistic Infections most found in PLHIV initiating ART were: Malaria with 54 cases (45.4%), Tuberculosis (29.4%), cutaneous pruritus (23.5%), Urinary tract infections (21.8%), Oral candidiasis and skin eruptions (20.2%). <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref> present the exhaustive list of OIs found.</p><p>Some correlations were observed between the clinical stages of patients and certain OIs such as Oral Candidiasis (0.215; p = 0.023), Vaginal Pruritus (0.188; p = 0.044), Diarrhea (0.221; p = 0.017), Tuberculosis (0.422; p &lt; 0.000) and Dermatitis (0.198; p = 0.033).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Opportunistic infections encountered in patients on inclusion</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameters</th><th align="center" valign="middle"  colspan="3"  >Patients (%)</th></tr></thead><tr><td align="center" valign="middle" >J0 (N = 119)</td><td align="center" valign="middle" >M3 (N = 37)</td><td align="center" valign="middle" >M6 (N = 62)</td></tr><tr><td align="center" valign="middle" >Oral candidiasis</td><td align="center" valign="middle" >20.2</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >4.8</td></tr><tr><td align="center" valign="middle" >Vaginal mycosis</td><td align="center" valign="middle" >10.9</td><td align="center" valign="middle" >8.1</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Vaginal pruritus</td><td align="center" valign="middle" >13.4</td><td align="center" valign="middle" >10.8</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Cutaneous pruritus</td><td align="center" valign="middle" >23.5</td><td align="center" valign="middle" >37.8</td><td align="center" valign="middle" >25.8</td></tr><tr><td align="center" valign="middle" >Shingles</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Rash</td><td align="center" valign="middle" >20.2</td><td align="center" valign="middle" >18.9</td><td align="center" valign="middle" >21.0</td></tr><tr><td align="center" valign="middle" >Dermatosis</td><td align="center" valign="middle" >15.1</td><td align="center" valign="middle" >21.6</td><td align="center" valign="middle" >22.6</td></tr><tr><td align="center" valign="middle" >Diarrhea</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Intestinal parasitosis</td><td align="center" valign="middle" >10.1</td><td align="center" valign="middle" >5.4</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Rhinitis</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle" >13.5</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Tuberculosis</td><td align="center" valign="middle" >29.4</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle" >6.5</td></tr><tr><td align="center" valign="middle" >Malaria</td><td align="center" valign="middle" >45.4</td><td align="center" valign="middle" >24.3</td><td align="center" valign="middle" >11.3</td></tr><tr><td align="center" valign="middle" >Urinary tract infection</td><td align="center" valign="middle" >21.8</td><td align="center" valign="middle" >8.1</td><td align="center" valign="middle" >9.7</td></tr><tr><td align="center" valign="middle" >Non-specific STI</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >2.3</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Others</td><td align="center" valign="middle" >9.2</td><td align="center" valign="middle" >8.1</td><td align="center" valign="middle" >11.3</td></tr></tbody></table></table-wrap></sec><sec id="s4_2"><title>3.2. At Month 3 of ART (M3)</title><p>The total number of patients who respected the appointment of the third month of follow-up was 37 patients with a predominance of the female sex of the order of 26 Women (70.3%) against 11 Men (29.7%), with a sex ratio of 2.36 in favor of women.</p><p>The most found age group was that of 46 to 55 years with 12 cases (32.4%), followed by 36 to 45 years with 10 cases (27%), 26 to 35 years with 9 cases (24. 3%), 18 to 25 years old with 5 cases (13.5) and finally 56 to 65 years old with 1 case or 2.7% (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Fifteen (15) patients were at WHO stage 3 (41.67%), followed by 14 patients at stage 1 (38.89%), 7 patients at stage 2 (19.44%) and no patients on stage 4. Twenty-three patients (23), 67.65%, had a normal clinical condition, followed by 11 patients (32.35%) had a good clinical condition and 3 patients (8.1%) had a poor clinical condition (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The most common Opportunistic Infections found in patients in the third months of ART were: non-specific STIs with 36 out of 37 cases (97.3%), skin pruritus 14 out of 37 cases (37.8%), malaria with 9 out of 37 cases (24.3%), dermatitis 8 out of 37 cases (21.6%) and rashes 7 out of 37 patients (18.9%). <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref> present the exhaustive list of OIs found.</p></sec><sec id="s4_3"><title>3.3. At the Sixth Month of ART (M6)</title><p>The total number of patients who respected the appointment of the sixth month of follow-up was 62 patients with a predominance of the female sex of the order of 38 women (61.3%) against 24 men (38.7 %), with a sex ratio of 1.58 in favor of women.</p><p>The most found age group is that between 36 to 45 years with 16 cases (26.7), followed by the age group from 46 to 55 year with 15 cases (25%), 26 to 35 years with 11 cases (18.3), followed by 56 to 65 years with 10 cases (16.7%) and finally the age group from 18 to 25 years with 8 cases (13.3%) (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Thirty-four (34) cases or 61.82% were at WHO stage 3, 16 cases (29.09%) were at stage 1 and 5 cases (9.09%) were at stage 2. Thirty-six (36) patients, or 67.92%, had a normal clinical condition, 15 patients (28.3%) had a Good clinical condition and 2 patients (3.77%) had a poor clinical condition (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The most common Opportunistic Infections found in patients in the sixth month of ART are: skin pruritus with 16 out of 62 patients (25.8%), dermatitis with 14/62 patients (22.6%), skin rash with 13 of 62 patients (21%). <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="fig" rid="fig1">Figure 1</xref> present the exhaustive list of OIs found.</p></sec></sec><sec id="s5"><title>4. Discussion</title><p>The objective of this study was to present the evolution of Opportunistic Infections (OI) in People Living with HIV (PLHIV) on ART in the OTC from D0 to M6 in Kinshasa during the era of Dolutegravir. According to the criteria, 119 PLHIV were included on D0 in 16 OTCs scattered in the four districts of Kinshasa. OIs were recorded in patients according to the frequency of patient consultation appointments published by the national program; appointment for the first month (M1), third month (M3) and sixth month (M6) after initiation of ART on inclusion (D0) [<xref ref-type="bibr" rid="scirp.125444-ref13">13</xref>] .</p><p>One hundred and nineteen (119) patients were included respecting the inclusion criteria. Fifty-two (52) patients (43.7%) were male while 67 patients (56.3%) were female; thus giving a sex ratio of 1.29 in favor of women. At the third month, 37 patients responded to the appointment with a predominance of the female sex (70.3%) and a sex ratio of 2.36. At the sixth month, 62 patients responded to the appointment with a predominance of the female sex (61.3%) and a sex ratio of 1.58. Through the various meetings, the sex ratio in favor of women is always present. The female sex remains dominant in the population of PLHIV in the various OTCs. This feminization of HIV infection is presented by various authors in the literature for Kinshasa and even for the country [<xref ref-type="bibr" rid="scirp.125444-ref8">8</xref>] - [<xref ref-type="bibr" rid="scirp.125444-ref19">19</xref>] .</p><p>The average age of patients included on D0 was 39.87 &#177; 12.36 years with extremities of 18 to 69 years. The age group most represented at inclusion is that of 36 to 45 years with 37 patients (31.9%) followed by that of 26 to 35 years with 24 patients (20.7%), that of 46 to 55 years with 22 patients (19.0%) and that of 18 to 25 years with 19 patients (16.4%). In the third month, the most found age group was that of 46 to 55 years with 12 cases (32.4%), followed by 36 to 45 years with 10 cases (27%), 26 to 35 years with 9 cases (24.3%), 18 to 25 years with 5 cases (13.5) and finally 56 to 65 years with 1 case (2.7%). At the sixth month, the most common age group was that between 36 and 45 years with 16 cases (26.7), followed by the age group from 46 to 55 year with 15 cases (25%), 26 to 35 years with 11 cases (18.3%), followed by 56 to 65 years with 10 cases (16.7%) and finally the age group from 18 to 25 years with 8 cases (13.3 %). The interval of 26 to 55 years remains the dominant age group across the cohort. These data corroborate those of the various Kinshasa studies [<xref ref-type="bibr" rid="scirp.125444-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref19">19</xref>] , those of the 2014 Demographic Health Study [<xref ref-type="bibr" rid="scirp.125444-ref13">13</xref>] , and other studies of the country [<xref ref-type="bibr" rid="scirp.125444-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref17">17</xref>] .</p><p>At inclusion, 49 patients (41.5%) were at WHO 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; 55 patients (47.0%) had a normal clinical condition, followed by 39 patients (33.3%) who had a good clinical condition, 22 patients (18.8%) a poor clinical condition and 1 patient (0.9 %) a pre-moribund clinical state. At the third month, 15 patients were at stage 3 (41.67%), followed by 14 patients at stage 1 (38.89%) and 7 patients at stage 2 (19.44%); 23 patients (67.65%) had a normal clinical condition, followed by 11 patients (32.35%) had a good clinical condition and 3 patients (8.1%) had a poor clinical condition. At the sixth month, 34 cases (61.82%) were at stage 3, 16 cases (29.09%) were at stage 1 and 5 cases (9.09%) were at stage 2; 36 patients (67.92%) had a normal clinical condition, 15 patients (28.3%) had a good clinical condition and 2 patients (3.77%) had a poor clinical condition. This evolutionary profile of the clinic is justified by the taking of ART of the different patients in their respective OTC. These data corroborate those of the literature for Kinshasa which affirm the evolution of the clinical states of patients under ART [<xref ref-type="bibr" rid="scirp.125444-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref20">20</xref>] .</p><p>On inclusion, the Opportunistic Infections (OIs) most commonly found in PLHIV initiating ART were: Malaria (45.4%), Tuberculosis (29.4%), cutaneous pruritus (23.5%), urinary tract infections (21.8%), oral candidiasis and rashes (20.2%). In M3, the most common OIs found in patients were: non-specific STIs (97.3%), cutaneous pruritus (37.8%), malaria (24.3%), dermatitis (21.6%) and rashes (18.9%). In M6, the most common OIs were: skin pruritus (25.8%), dermatitis (22.6%), and rash (21%). Despite taking ART, some OIs persist over time. OIs such as cutaneous pruritus, rashes, dermatitis and malaria were maintained throughout the treatment from inclusion to the sixth month of treatment. These infections are generally linked. The appearances of the different OIs through the different periods are similar to those presented in different studies [<xref ref-type="bibr" rid="scirp.125444-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.125444-ref11">11</xref>] . The persistence of these OIs despite ART calls into question the therapeutic support of PLHIV in our various care structures.</p><p>Some correlations were observed between the WHO clinical stages of patients and certain OIs such as Oral Candidiasis (0.215; p = 0.023), Vaginal Pruritus (0.188; p = 0.044), Diarrhea (0.221; p = 0.017), Tuberculosis (0.422; p &lt; 0.000) and Dermatitis (0.198; p = 0.033). These correlations can be explained by the fact that these infections are generally linked to a balance of the microbial flora which, once disturbed by immunosuppression, gives way to a multiplication of infectious germs.</p><p>Limitation of the Study</p><p>This present study was limited to some centers of Kinshasa. Therefore, generalization of the results should be done carefully. However, this does not take any value out of the findings.</p></sec><sec id="s6"><title>5. Conclusion</title><p>The profile of Opportunistic Infections is different at inclusion, at the third and at the sixth month. The evolutionary profile is marked by the maintenance of Opportunistic Infections such as Dermatitis (pruritus and rashes) and Malaria. Despite treatment with AntiRetroViral, Opportunistic Infections persist; which calls into question the therapeutic support of patients in care centers.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Bongenya, B.I., Sombo, M.-T.A.S., Kabengele, B.O., Bumoko, G.M.M. and Kamangu, E.N. (2023) Evolutionary Profile of Opportunistic Infections in People Living with Human Immunodeficiency Virus during Six Months of Dolutegravir Based Antiretroviral Treatment in Kinshasa, Democratic Republic of Congo. World Journal of AIDS, 13, 47-56. https://doi.org/10.4236/wja.2023.132005</p></sec></body><back><ref-list><title>References</title><ref id="scirp.125444-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, E.N., Bulanda, B.I., Mwanaut, I.M., Makoka, S.K. and Mesia, G.K. (2021) Evaluation of Rational Use of Antiretrovirals before the Dolutegravir Transition in Kinshasa, Democratic Republic of Congo. World Journal of AIDS, 11, 41-49. https://doi.org/10.4236/wja.2021.112004</mixed-citation></ref><ref id="scirp.125444-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Programme National de Lutte contre le VIH/SIDA et les IST (PNLS). Ministère de la Santé Publique. République Démocratique du Congo (2017) Guide National de Prise en Charge intégrée du VIH.</mixed-citation></ref><ref id="scirp.125444-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Programme National de Lutte contre le VIH/SIDA et les IST (PNLS). Ministère de la Santé Publique. République Démocratique du Congo (2019) Révision du Guide National de Prise en Charge.</mixed-citation></ref><ref id="scirp.125444-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Descripteur MeSH: Infections Opportunistes liées au SIDA. CISMeF. https://www.cismef.org/page/infections-opportunistes-la-vie-personnes-vivants-VIH</mixed-citation></ref><ref id="scirp.125444-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Siegfried, N., Clarke, M. and Volmink, J. (2005) Randomized Controlled Trials in Africa of HIV and AIDS: Descriptive Study and Spatial Distribution. BJM, 331, 742. https://doi.org/10.1136/bmj.331.7519.742</mixed-citation></ref><ref id="scirp.125444-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Programme National de la Lutte contre le VIH/SIDA et les IST (PNLS), Ministère de la Santé Publique et Hygiène. République Démocratique du Congo (2009) Actualisation des connaissances sur la carte épidémiologique et les capacités de gestion (prévention et prise en charge) des infections et autres affections opportunistes de l’infection à VIH à Kinshasa et Matadi. Rapport d’Enquête.</mixed-citation></ref><ref id="scirp.125444-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Izzia, K., Kapita, B., Mbendi, N., et al. (1993) Etiologie de la fièvre au cours du SIDA: à propos de 64 cas. https://pesquisa.bvsalud.org/portal/resource/pt/afr-185098</mixed-citation></ref><ref id="scirp.125444-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, N.E., Situakibanza, N.H., Mvumbi, L.G., Kakudji, I.L., Tshienda, T.D. and Mesia, K.G. (2012) Profiles of Opportunistic Infections in People Living with HIV Followed at the Military Hospital of Kinshasa Reference (Camp Kokolo), DRC. BMC Retrovirology, 9, P146. https://doi.org/10.1186/1742-4690-9-S1-P146</mixed-citation></ref><ref id="scirp.125444-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, N.E., Muhindo, M.H., Wapa-Kamangu, W.C. and Situakibanza, N.T.H. (2015) Prevalence of Malaria Infection among People Living with HIV in Kinshasa. Open Access Library Journal, 2, e1077. https://doi.org/10.4236/oalib.1101077</mixed-citation></ref><ref id="scirp.125444-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, E.N. (2016) Human Immunodeficiency Virus Type 1 and Type 2 Co-Infection Rate in Kinshasa Patients. Mathews Journal of HIV/AIDS, 1, Article No. 009.</mixed-citation></ref><ref id="scirp.125444-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Bongenya, B.I., Bulanda, B.I., Bukongo, R.N., Chuga, D., Botomuito, T.H., Kabasele, J.Y.D. and Kamangu, E.N. (2022) Prevalence of Opportunist Infections among the Professionals Sex Workers and their Customers Living with the VIH under ARV in Kinshasa. Open Access Library Journal, 9, e7927. https://doi.org/10.4236/oalib.1107927</mixed-citation></ref><ref id="scirp.125444-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Losenga, O.L., Dikati, M.N., Bongenya, I.B., Ntumba, K.T., Booto, I.G., et al. (2022) Sociodemographic and Anthropometric Profile of People Living with Human Immunodeficiency Virus Starting Treatment in Kinshasa, Democratic Republic of the Congo. Open Access Library Journal, 9, e9056. https://doi.org/10.4236/oalib.1109056</mixed-citation></ref><ref id="scirp.125444-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Ministère du Plan et Suivi de la Mise en &amp;#339;uvre de la Révolution de la Modernité et Ministère de la Santé Publique, République Démocratique du Congo (2014) Enquête Démographique et de Santé 2013-2014 (EDS 2013-2014). Rapport 2014.</mixed-citation></ref><ref id="scirp.125444-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, N.E., Bulanda, I.B., Bongenia, I.B., Botomwito, H.T., Mvumbi, G.L., De Mol, P., Vaira, D., Hayette, M.P. and Kalala, R.L. (2015) Virological Profile of Patients Infected with HIV Starting Antiretroviral Treatment in Kinshasa. Open Access Library Journal, 2, e1564. https://doi.org/10.4236/oalib.1101564</mixed-citation></ref><ref id="scirp.125444-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Bulanda, B.I., Kateba, E.T., Bongenia, B.I., Kasongo, V.N., Kingombe, M.A. and Kamangu, E.N. (2018) Sociodemographic and Anthropometric Profile of Positive HIV Patients in Early Traditional Treatment: Case of the Bonkoko Center. Open Access Library Journal, 5, e4555. https://doi.org/10.4236/oalib.1104555</mixed-citation></ref><ref id="scirp.125444-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Buju, R.T., Akilimali, P.Z., Kamangu, E.N., Mesia, G.K., Kayembe, J.M.N. and Situakibanza, H.N. (2022) Predictors of Viral Non-Suppression among Patients Living with HIV under Dolutegravir in Bunia, Democratic Republic of Congo: A Prospective Cohort Study. International Journal of Environmental Research and Public Health, 19, Article No. 1085. https://doi.org/10.3390/ijerph19031085</mixed-citation></ref><ref id="scirp.125444-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Buju, R.T., Akilimali, P.Z., Kamangu, E.N., Mesia, G.K., Kayembe, J.M.N. and Situakibanza, H.N. (2022) Incidence and Predictors of Loss to Follow Up among Patients Living with HIV under Dolutegravir in Bunia, Democratic Republic of Congo: A Prospective Cohort Study. International Journal of Environmental Research and Public Health, 19, Article No. 4631. https://doi.org/10.3390/ijerph19084631</mixed-citation></ref><ref id="scirp.125444-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, N.E., Wumba, R.D.M., Situakibanza, H.N.T., Lukusa, P.T., Kapend, L.K., Mvumbi, G.L., Hayette, M.P. and Kalala, R.L. (2018) Molecular Epidemiology of Human Immunodeficiency Virus Type 1 and Therapeutic Monitoring of Patients Treated in Kinshasa/Democratic Republic of the Congo. International Journal of HIV and Aids Research, 2, 6-11.</mixed-citation></ref><ref id="scirp.125444-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Mbula, M.M.K., Situakibanza, H.N.T., Mananga, L.G., Longokolo, M.M., Mandina, N.M., Mayasi, N.N., et al. (2020) Profil clinique et biologique des Personnes Vivant avec le VIH/SIDA suivies dans le Service des Maladies Infectieuses des Cliniques Universitaires de Kinshasa, République Démocratique du Congo. Revue Malienne d’Infectiologie et de Microbiologie, 15, 21-29. https://doi.org/10.53597/remim.v15i2.1727</mixed-citation></ref><ref id="scirp.125444-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Kamangu, N.E., Bwiri, B.B. and Mvumbi, L.G. (2019) Clinical and Paraclinical Profile of People Living with Human Immunodeficiency Virus on Second Line Treatment in Kinshasa, Democratic Republic of Congo. Open Access Library Journal, 6, e5499. https://doi.org/10.4236/oalib.1105499</mixed-citation></ref></ref-list></back></article>