<?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.2018.81002</article-id><article-id pub-id-type="publisher-id">WJA-82883</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>
 
 
  Biological Profile of HIV-Positive Patients in Bangui, Central African Republic, in 2017
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yawo</surname><given-names>Tufa Nyasenu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alain</surname><given-names>Farra</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Brice</surname><given-names>Martial Yambiyo</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alexandre</surname><given-names>Manirakiza</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fernand</surname><given-names>Didier Padou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ferdinand</surname><given-names>Yapou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pulchérie</surname><given-names>Pelembi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rodolphe</surname><given-names>Mambely-Nzako</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Marie-Joëlle</surname><given-names>Mandeng</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alain</surname><given-names>Berlioz-Arthaud</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Pierre-Alain</surname><given-names>Rubbo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean-Pierre</surname><given-names>Lombart</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Institut Pasteur of Bangui, Medical Analysis Laboratory, Bangui, Central African Republic</addr-line></aff><aff id="aff2"><addr-line>Institut Pasteur of Bangui, Epidemiology Service, Bangui, Central African Republic</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>nyasenu@yahoo.fr(YTN)</email>;<email>farra_alain@yahoo.fr(AF)</email>;<email>ybricemartial@yahoo.fr(BMY)</email>;<email>alexandre.manirakiza@pasteur-bangui.org(AM)</email>;<email>fdpadou@yahoo.fr(FDP)</email>;<email>fyapou@yahoo.fr(FY)</email>;<email>pulcherima2@yahoo.fr(PP)</email>;<email>mambely_rodolphe@yahoo.fr(RM)</email>;<email>mjmandeng@yahoo.fr(MM)</email>;<email>alain.berlioz-arthaud@pasteur.fr(AB)</email>;<email>pierrealainrubbo@gmail.com(PR)</email>;<email>jean-pierre.lombart@pasteur.fr(JL)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>23</day><month>01</month><year>2018</year></pub-date><volume>08</volume><issue>01</issue><fpage>11</fpage><lpage>20</lpage><history><date date-type="received"><day>13,</day>	<month>January</month>	<year>2018</year></date><date date-type="rev-recd"><day>5,</day>	<month>March</month>	<year>2018</year>	</date><date date-type="accepted"><day>8,</day>	<month>March</month>	<year>2018</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
   : The biological profile of HIV-positive patients is essential for diagnosing treatment failure and the prognosis of infection. We determined the virological and immunological profiles and biological anomalies of HIV-positive people on antiretroviral therapy (ART) in Bangui, Central Afri-can Republic. 
   Methods
   : We conducted an analytical, descriptive study be-tween 4 April and 30 September 2017 of all patients who had received ART for more than 12 months and who attended the Medical Analysis Laboratory of the Institut Pasteur in Bangui for a complete biological work-up, including viral load. A blood sample was taken for quantification of RNA HIV-1, CD4 lymphocytes and blood count in two tubes containing ethylenediamine te-traacetic acid, and another sample was taken in a dry tube for measurement of creatinine and transaminases. 
   Results: The total population comprised 1748 patients, with a mean age of 38.7 years (&#177;14.3; median, 41 years; range, 2 - 79 years); 33.3% of patients were between 40 and 49 years old. Females predo-minated (71.3%), for a sex ratio of 0.4. Immunological failure was observed in 20.2% of patients (CD4 &lt; 200 cells/μL), and 44.5% of patients had a load of RNA HIV-1 ≥ 1000 copies/mL. The main haematological anomalies were anaemia (28.0%), leukopenia (26.7%), neutropenia (42.1%) and lymphopenia (27.2%). Blood creatinine was abnormal in 61.0% of patients, ALAT in 57.0% and ASAT in 66.9%. 
   Conclusion: The abnormalities observed in this study concerned the haematopoietic system, the liver and the kidneys. As other or-gans and systems may be affected, periodic multidisciplinary biological and clinical follow-up is necessary for people living with HIV in order to improve their management. 
  
 
</p></abstract><kwd-group><kwd>Anaemia</kwd><kwd> Biological</kwd><kwd> Abnormalities</kwd><kwd> HIV-1</kwd><kwd> Bangui</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>HIV/AIDS remains a major public health problem throughout the world and particularly in sub-Saharan Africa. In 2017, UNAIDS estimated that 20.9 million people were receiving antiretroviral therapy (ART). In 2016, 6.1 million people in West and Central Africa were living with HIV, and 31,000 died of diseases associated with AIDS, whereas only 2.1 million people, 35% of those living with HIV in the region, had access to ART. Women account for 56% of people living with HIV in the region. In 2016, there were 370,000 new infections with HIV, representing a reduction of 9% since 2010, and the number of deaths from AIDS decreased by 21%. Among children in West and Central Africa, there were 60,000 new cases of HIV infection in 2016, representing a decrease of 33% since 2010 [<xref ref-type="bibr" rid="scirp.82883-ref1">1</xref>] .</p><p>Treatment with multi-ART has prolonged survival, decreased morbidity and improved the quality of life of people living with HIV [<xref ref-type="bibr" rid="scirp.82883-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref5">5</xref>] . ART, like HIV, may, however, attack various body systems and cause abnormalities in the haematopoietic system and organs such as the kidneys, the liver, the heart and muscles [<xref ref-type="bibr" rid="scirp.82883-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref8">8</xref>] . The drugs in ART may thus have undesirable, dangerous effects on patients [<xref ref-type="bibr" rid="scirp.82883-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref10">10</xref>] . Interactions between drugs given for opportunistic and other infections (tuberculosis, hepatitis B) can have dangerous consequences [<xref ref-type="bibr" rid="scirp.82883-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref13">13</xref>] . Kobangue et al. [<xref ref-type="bibr" rid="scirp.82883-ref7">7</xref>] reported that anaemia was the cause of death of 75.8% of children on ART who died at the Paediatric Complex in Bangui between 2008 and 2013.</p><p>In the Central African Republic, there has been a decade of sociopolitical instability, which has resulted in population displacement and difficult access to treatment. The present study addresses the biological characteristics of patients on ART who attended the Institut Pasteur in Bangui for a free, complete biological follow-up as part of a national effort to improve their management.</p></sec><sec id="s2"><title>2. Patients, Material and Methods</title><sec id="s2_1"><title>2.1. Setting and Patients</title><p>A cross-sectional descriptive study was conducted between 4 April and 30 September 2017 at the Institut Pasteur in Bangui, a recognized centre for public health, in collaboration with the International Committee of the Red Cross and Red Crescent Societies. The institute has a medical analytical laboratory, which provides biomedical analyses for the population of the country. We included all patients with HIV/AIDS who had been on ART for at least 12 months for whom systematic biological follow-up had been conducted during the study period. The inclusion criteria were the presence of HIV-1 infection, ART for at least 1 year and a complete biological work-up, which comprised plasma viral load, CD4 lymphocyte count, blood creatinine and transaminases and blood count. We excluded from this study: HIV-infected patients who were on treatment for less than one year, patients with incomplete biological status, and patients infected with HIV-2. In this study using clinical files and electronic registers, the patient’s identity was not collected in the survey file to ensure ethical clearence.</p></sec><sec id="s2_2"><title>2.2. Sampling</title><p>Blood samples were taken for quantification of RNA HIV-1 and for blood counts in two tubes containing ethylene diamine tetra-acetic acid (EDTA), and another was taken in a dry tube for measurement of blood creatinine and transaminases.</p></sec><sec id="s2_3"><title>2.3. Biological Analyses</title><p>RNA-HIV was extracted with a Biocentric kit (12.08.02-170510) on a NorDiag Arrow (AO637R3) extractor. Biocentric kits (TR001-250IC) were used for RNA-HIV amplification by real-time PCRon an Applied Biosystems 7500 Fast System (4357362). The targeted region is on the long terminal repeats (LTRs), and the detection threshold was 300 copies/mL in a sample of 10 &#181;L. The technique is specific for HIV-1 group M, subtypes A-H. Blood creatinine with automated Jaffe colorimetric method, aspartate and alanine transaminases (ASAT and ALAT) were measured on ABX Pentra 400 (RAB1251FR). Blood creatinine was considered normal at 6 - 13 mg/L and ASAT and ALAT at 11 - 66 UI/L and 15 - 46 UI/L, respectively. An ABX Pentra 60 (111P6010797) from HORIBA was used for blood cell counts. Cut off for anaemia was defined as haemoglobin levels lower than 11 g/dL in women and lower than 12 g/dL in men.</p></sec><sec id="s2_4"><title>2.4. Statistical Analysis</title><p>The analysis was performed on all data from included patients (exhaustive sampling). Data were entered onto an Excel<sup>&#174;</sup> sheet and analysed with Stata software. We recorded the sex and age of our study population, the viral load, presented as &lt;1000 copies/mL (virological failure) and ≥1000 copies/mL (virological success), and CD4 cell counts, with immunological failure defined as &lt;200 cells/mm<sup>3</sup> and immunological success as ≥200 cells/mm<sup>3</sup>. The World Health Organization (WHO) guidelines recommend the use of viral load as the preferred method for monitoring treatment response over clinical and immunological approaches, and define virological and immunological failure respectively with a threshold of 1000 copies/mL and 200 cells/mm<sup>3</sup> [<xref ref-type="bibr" rid="scirp.82883-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref15">15</xref>] . Student’s t test, the chi-squared test and calculation of odds ratios (ORs) with 95% confidence intervals (CIs) were used to compare viral loads and CD4 cell counts according to biological abnormalities. The threshold for significance was set at 5%.</p></sec></sec><sec id="s3"><title>3. Results</title><p>A total of 1748 patients were entered into the study, with a mean age of 38.7 &#177; 14.4 years and a median of 41 years (range, 2 - 79); most (33.3%) were aged 40 - 49 years, and most were female (71.3%), for a sex ratio of 0.4.</p><sec id="s3_1"><title>3.1. Characteristics of Patients</title><p>Immunological failure was seen in 20.2% and virological failure in 44.5% of patients. Anaemia was observed in 28.0% of patients (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Biological Parameters of Patients</title><p>Patients with immunological failure had lower mean values for haemoglobin, haematocrit, mean blood count, leukocytes, polynuclear eosinophils and basophils and lymphocytes than those with immunological success but higher values for creatinine, ALAT and ASAT (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Patients with virological failure had lower mean values for erythrocytes, haemoglobin and mean blood count but a higher mean value for ASAT. The mean haemoglobin concentration was 12.4 g/dL (10.2 - 12.5 g/dL) in patients with virological success and 11.6 g/dL (11.4 - 11.7 g/dL) for those with virological failure (<xref ref-type="table" rid="table3">Table 3</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Characteristics of patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >No. of patients</th><th align="center" valign="middle" >1748</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mean</td><td align="center" valign="middle" >38.7 &#177; 14.3</td></tr><tr><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >41</td></tr><tr><td align="center" valign="middle" >Range</td><td align="center" valign="middle" >2 - 79</td></tr><tr><td align="center" valign="middle" >≤18</td><td align="center" valign="middle" >219 (12.5%)</td></tr><tr><td align="center" valign="middle" >19 - 29</td><td align="center" valign="middle" >120 (6.9%)</td></tr><tr><td align="center" valign="middle" >30 - 39</td><td align="center" valign="middle" >465 (26.6%)</td></tr><tr><td align="center" valign="middle" >40 - 49</td><td align="center" valign="middle" >582 (33.3%)</td></tr><tr><td align="center" valign="middle" >≥50</td><td align="center" valign="middle" >362 (20.7%)</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >501 (26.7%)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >1247 (71.3%)</td></tr><tr><td align="center" valign="middle" >CD4 cell count (n = 1146)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;200/mm<sup>3</sup></td><td align="center" valign="middle" >232 (20.2%)</td></tr><tr><td align="center" valign="middle" >≥200/mm<sup>3</sup></td><td align="center" valign="middle" >914 (79.8%)</td></tr><tr><td align="center" valign="middle" >Viral load (copies/mL)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;1000</td><td align="center" valign="middle" >971 (55.6%)</td></tr><tr><td align="center" valign="middle" >≥1000</td><td align="center" valign="middle" >777 (44.5%)</td></tr><tr><td align="center" valign="middle" >Anaemia</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Males</td><td align="center" valign="middle" >168 (33.5%)</td></tr><tr><td align="center" valign="middle" >Females</td><td align="center" valign="middle" >322 (25.8%)</td></tr><tr><td align="center" valign="middle" >Both sexes</td><td align="center" valign="middle" >490 (28.0%)</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Biological parameters of patients according to CD4 cell count</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  colspan="2"  >CD4 &lt; 200/mm<sup>3</sup></th><th align="center" valign="middle"  colspan="2"  >CD4 ≥ 200/mm<sup>3</sup></th><th align="center" valign="middle"  rowspan="2"  >Significance</th></tr></thead><tr><td align="center" valign="middle" >No. of samples</td><td align="center" valign="middle" >Mean (95% CI)</td><td align="center" valign="middle" >No. of samples</td><td align="center" valign="middle" >Mean (95% CI)</td></tr><tr><td align="center" valign="middle" >Red blood cells (10<sup>9</sup>/L)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >3.77 (3.6; 3.8)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >4.01 (3.9; 4.0)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Haemoglobin (g/dL)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >11.08 (10.8; 11.3)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >12.27 (12.1; 12.3)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Haematocrit</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >0.32 (0.3; 0.3)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >0.45 (0.3; 0.5)</td><td align="center" valign="middle" >0.259</td></tr><tr><td align="center" valign="middle" >Mean cell volume (fL)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >86.55 (85.1; 88.0)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >90.59 (88.9; 92.3)</td><td align="center" valign="middle" >0.023</td></tr><tr><td align="center" valign="middle" >Mean cell haemoglobin content (pg)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >29.68 (29.1; 30.2)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >33.97 (28.5; 39.3)</td><td align="center" valign="middle" >0.433</td></tr><tr><td align="center" valign="middle" >Mean cell haemoglobin content (g/dL)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >34.22 (34.0; 34.3)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >34.22 (34.1; 34.3)</td><td align="center" valign="middle" >0.954</td></tr><tr><td align="center" valign="middle" >Leukocyte count (10<sup>6</sup>/L)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >4.71 (4.3; 5.0)</td><td align="center" valign="middle" >914</td><td align="center" valign="middle" >5.53 (5.3; 5.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Polynuclear neutrophils (10<sup>6</sup>/L)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >4.28 (1.1; 7.4)</td><td align="center" valign="middle" >913</td><td align="center" valign="middle" >2.72 (2.0; 3.3)</td><td align="center" valign="middle" >0.139</td></tr><tr><td align="center" valign="middle" >Polynuclear eosinophils (10<sup>6</sup>/L)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >0.22 (0.1; 0.2)</td><td align="center" valign="middle" >913</td><td align="center" valign="middle" >0.33 (0.3; 0.3)</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >Polynuclear basophils (10<sup>6</sup>/L)</td><td align="center" valign="middle" >232</td><td align="center" valign="middle" >0.02 (0.02; 0.02)</td><td align="center" valign="middle" >913</td><td align="center" valign="middle" >0.04 (0.04; 0.05)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Lymphocytes (10<sup>6</sup>/L)</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" >1.35 (1.2; 1.4)</td><td align="center" valign="middle" >913</td><td align="center" valign="middle" >2.18 (2.1; 2.2)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Monocytes (10<sup>6</sup>/L)</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" >3.72 (1.2; 8.6)</td><td align="center" valign="middle" >912</td><td align="center" valign="middle" >1.74 (0.1; 3.3)</td><td align="center" valign="middle" >0.332</td></tr><tr><td align="center" valign="middle" >Platelets (10<sup>6</sup>/L)</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >272.96 (256.8; 289.0)</td><td align="center" valign="middle" >909</td><td align="center" valign="middle" >285.55 (277.2; 293.8)</td><td align="center" valign="middle" >0.180</td></tr><tr><td align="center" valign="middle" >Blood creatinine (mg/L)</td><td align="center" valign="middle" >213</td><td align="center" valign="middle" >12.11 (9.9; 14.2)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >9.39 (8.8; 9.9)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >ALAT (UI/L)</td><td align="center" valign="middle" >211</td><td align="center" valign="middle" >34.86 (28.5; 41.1)</td><td align="center" valign="middle" >782</td><td align="center" valign="middle" >28.80 (27.2; 303.3)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >ASAT (UI/L)</td><td align="center" valign="middle" >209</td><td align="center" valign="middle" >48.80 (39.3; 58.2)</td><td align="center" valign="middle" >782</td><td align="center" valign="middle" >32.53 (30.4; 34.6)</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Biological parameters of patients according to viral load</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Parameter</th><th align="center" valign="middle"  colspan="2"  >Viral load &lt; 1000 copies/mL</th><th align="center" valign="middle"  colspan="2"  >Viral load ≥ 1000 copies/mL</th><th align="center" valign="middle"  rowspan="2"  >Significance</th></tr></thead><tr><td align="center" valign="middle" >No. of samples</td><td align="center" valign="middle" >Mean (95% CI)</td><td align="center" valign="middle" >No. of samples</td><td align="center" valign="middle" >Mean (95% CI)</td></tr><tr><td align="center" valign="middle" >Red blood cells (10<sup>9</sup>/L)</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >4.02 (3.9; 4.0)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >3.88 (3.8; 3.9)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Haemoglobin (g/dL)</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >12.38 (10.2; 12.5)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >11.58 (11.4; 11.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Haematocrit</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >0.58 (0.3; 0.8)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >0.48 (0/1; 0.7)</td><td align="center" valign="middle" >0.572</td></tr><tr><td align="center" valign="middle" >Mean cell volume (fL)</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >91.39 (89.7; 93.0)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >87.96 (87.1; 88.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Mean cell haemoglobin content (pg)</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >31.76 (31.1; 32.2)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >33.47 (27.1; 39.8)</td><td align="center" valign="middle" >0.554</td></tr><tr><td align="center" valign="middle" >Mean cell haemoglobin content (g/dL)</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >34.37 (34.2; 34.3)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >34.10 (33.9; 34.2)</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >Leukocyte count (10<sup>6</sup>/L)</td><td align="center" valign="middle" >971</td><td align="center" valign="middle" >5.27 (5.1; 5.4)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >5.43 (5.2; 5.6)</td><td align="center" valign="middle" >0.199</td></tr><tr><td align="center" valign="middle" >Polynuclear neutrophils (10<sup>6</sup>/L)</td><td align="center" valign="middle" >970</td><td align="center" valign="middle" >2.95 (1.9; 3.9)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >2.48 (2.3; 2.6)</td><td align="center" valign="middle" >0.397</td></tr><tr><td align="center" valign="middle" >Polynuclear eosinophils (10<sup>6</sup>/L)</td><td align="center" valign="middle" >969</td><td align="center" valign="middle" >0.33 (0.30; 0.36)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >0.30 (0.27; 0.33)</td><td align="center" valign="middle" >0.199</td></tr><tr><td align="center" valign="middle" >Polynuclear basophils (10<sup>6</sup>/L)</td><td align="center" valign="middle" >969</td><td align="center" valign="middle" >0.04 (0.03; 0.05)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >0.04 (0.04; 0.05)</td><td align="center" valign="middle" >0.698</td></tr><tr><td align="center" valign="middle" >Lymphocytes (10<sup>6</sup>/L)</td><td align="center" valign="middle" >968</td><td align="center" valign="middle" >2.07 (2.0; 2.1)</td><td align="center" valign="middle" >777</td><td align="center" valign="middle" >4.42 (0.2; 0.9)</td><td align="center" valign="middle" >0.270</td></tr><tr><td align="center" valign="middle" >Monocytes (10<sup>6</sup>/L)</td><td align="center" valign="middle" >968</td><td align="center" valign="middle" >2.86 (0.8; 4.9)</td><td align="center" valign="middle" >776</td><td align="center" valign="middle" >1.77 (0.1; 3.3)</td><td align="center" valign="middle" >0.426</td></tr><tr><td align="center" valign="middle" >Platelets (10<sup>6</sup>/L)</td><td align="center" valign="middle" >966</td><td align="center" valign="middle" >278.99 (271.1; 286.8)</td><td align="center" valign="middle" >773</td><td align="center" valign="middle" >283.53 (275.3; 291.7)</td><td align="center" valign="middle" >0.436</td></tr><tr><td align="center" valign="middle" >Blood creatinine (mg/L)</td><td align="center" valign="middle" >575</td><td align="center" valign="middle" >9.67 (9.0; 10.2)</td><td align="center" valign="middle" >564</td><td align="center" valign="middle" >10.02 (9.1; 10.9)</td><td align="center" valign="middle" >0.530</td></tr><tr><td align="center" valign="middle" >ALAT (UI/L)</td><td align="center" valign="middle" >584</td><td align="center" valign="middle" >29.22 (27.5; 30.9)</td><td align="center" valign="middle" >567</td><td align="center" valign="middle" >30.00 (27.2; 32.7)</td><td align="center" valign="middle" >0.631</td></tr><tr><td align="center" valign="middle" >ASAT (UI/L)</td><td align="center" valign="middle" >583</td><td align="center" valign="middle" >30.66 (29.2; 32.1)</td><td align="center" valign="middle" >565</td><td align="center" valign="middle" >39.88 (35.5; 44.2)</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Biological Anomalies</title><p>The biological anomalies observed are shown in <xref ref-type="table" rid="table4">Table 4</xref> and <xref ref-type="table" rid="table5">Table 5</xref>.</p><p>Patients with immunological success were more likely to have anaemia (65.4% of females and 59.3% of males), leukopenia (66.6%), eosinophilia (85.8%), lymphopenia (56.3%), thrombopenia (65.0%), microcytosis (69.7%), hypochromia (72.0%) and abnormal ASAT (74.8%). Of patients with a high viral load, 36.9% had anaemia, 51.6% had leukopenia, 46.0% had neutropenia, and 52.6% had lymphopenia. Blood creatinine was abnormal in 37.4% of patients with a high viral load, and abnormal ALAT and ASAT were found in 36.4% and 41.2% of these patients (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Our finding of a sex ratio of 0.4 and a median age of 41 years are similar to those of Mouala et al. [<xref ref-type="bibr" rid="scirp.82883-ref13">13</xref>] , who also found a sex ratio of 0.4 and a median age of 32.5 years among HIV-positive patients in Bangui, and of Loua et al. [<xref ref-type="bibr" rid="scirp.82883-ref16">16</xref>] , who reported a sex ratio of 0.5 and a median age of 40 years in a study in Conakry, Guinea. Mouhari-Tour&#233; et al. [<xref ref-type="bibr" rid="scirp.82883-ref17">17</xref>] reported a predominance of women (68.6%)</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Biological anomalies according to CD4 cell count</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Anomaly</th><th align="center" valign="middle" >No. of samples (%)</th><th align="center" valign="middle" >CD4 &lt; 200/mm<sup>3</sup> (No. (%))</th><th align="center" valign="middle" >CD4 ≥ 200/mm<sup>3</sup> (No. (%))</th><th align="center" valign="middle" >Odds ratio (95% CI)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Anaemia</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Females &lt; 11 g/dL</td><td align="center" valign="middle" >208 (16.7)</td><td align="center" valign="middle" >72 (34.6)</td><td align="center" valign="middle" >136 (65.4)</td><td align="center" valign="middle" >3.07 (2.1; 4.3)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Males &lt; 12 g/dL</td><td align="center" valign="middle" >113 (22.6)</td><td align="center" valign="middle" >46 (40.7)</td><td align="center" valign="middle" >67 (59.3)</td><td align="center" valign="middle" >4.58 (2.9; 7.1)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Leukopenia (&lt;4 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >308 (26.9)</td><td align="center" valign="middle" >103 (33.4)</td><td align="center" valign="middle" >205 (66.6)</td><td align="center" valign="middle" >2.74 (2.0; 3.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Leukocytosis (&gt;10 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >49 (4.3)</td><td align="center" valign="middle" >7 (14.3)</td><td align="center" valign="middle" >42 (85.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Neutropenia (&lt;1.8 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >468 (40.8)</td><td align="center" valign="middle" >97 (20.7)</td><td align="center" valign="middle" >371 (79.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Neutrophil polynucleosis (&lt;7 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >30 (2.6)</td><td align="center" valign="middle" >8 (26.7)</td><td align="center" valign="middle" >22 (73.3)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Eosinophilia (&gt;0.5 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >183 (16.0)</td><td align="center" valign="middle" >26 (14.2)</td><td align="center" valign="middle" >157 (85.8)</td><td align="center" valign="middle" >0.6 (0.3; 0.9</td><td align="center" valign="middle" >0.028</td></tr><tr><td align="center" valign="middle" >Basophilia (&gt;0.4 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >3 (0.3)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >3 (100)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lymphopenia (&lt;1.5 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >334 (29.2)</td><td align="center" valign="middle" >146 (43.7)</td><td align="center" valign="middle" >188 (56.3)</td><td align="center" valign="middle" >6.2 (4.5?8.5)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Lymphocytosis (&gt;0.4 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >39 (3.4)</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >39 (100)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Monocytosis (&gt;0.6 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >285 (24.9)</td><td align="center" valign="middle" >51 (17.9)</td><td align="center" valign="middle" >234 (82.1)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Thrombopenia (&lt;150 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >83 (7.3)</td><td align="center" valign="middle" >29 (34.9)</td><td align="center" valign="middle" >54 (65.0)</td><td align="center" valign="middle" >2.3 (1.4; 3.8)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Thrombocytosis (&gt;400 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >133 (11.7)</td><td align="center" valign="middle" >31 (23.3)</td><td align="center" valign="middle" >102 (76.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Microcytosis (&lt;80 fL)</td><td align="center" valign="middle" >195 (17.0)</td><td align="center" valign="middle" >59 (30.3)</td><td align="center" valign="middle" >136 (69.7)</td><td align="center" valign="middle" >1.8 (1.2; 2.5)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Macrocytosis (&gt;100 fL)</td><td align="center" valign="middle" >176 (15.4)</td><td align="center" valign="middle" >23 (13.1)</td><td align="center" valign="middle" >153 (86.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hypochromia (&lt;27 pg)</td><td align="center" valign="middle" >168 (14.7)</td><td align="center" valign="middle" >47 (28.0)</td><td align="center" valign="middle" >121 (72.0)</td><td align="center" valign="middle" >1,6 (1,1; 2.4)</td><td align="center" valign="middle" >0.007</td></tr><tr><td align="center" valign="middle" >Blood creatinine &gt; 13 mg/L</td><td align="center" valign="middle" >238 (20.8)</td><td align="center" valign="middle" >49 (20.6)</td><td align="center" valign="middle" >189 (79.4)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ALAT &gt; 66 UI/L</td><td align="center" valign="middle" >205 (17.9)</td><td align="center" valign="middle" >34 (16.7)</td><td align="center" valign="middle" >171 (83.4)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ASAT &gt; 46 UI/L</td><td align="center" valign="middle" >301 (26.3)</td><td align="center" valign="middle" >76 (25.3)</td><td align="center" valign="middle" >225 (74.8)</td><td align="center" valign="middle" >1.4 (1.0; 2.0)</td><td align="center" valign="middle" >0.012</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Biological anomalies according to viral load</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Anomaly</th><th align="center" valign="middle" >No. of samples (%)</th><th align="center" valign="middle" >Viral load &lt; 1000 copies/mL</th><th align="center" valign="middle" >Viral load ≥ 1000 copies/mL</th><th align="center" valign="middle" >Odds ratio (95% CI)</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Anaemia</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Females &lt; 11 g/dL</td><td align="center" valign="middle" >322 (25.8)</td><td align="center" valign="middle" >186 (57.8)</td><td align="center" valign="middle" >136 (42.2)</td><td align="center" valign="middle" >2.11 (1.6; 2.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Males &lt; 12 g/dL</td><td align="center" valign="middle" >168 (33.5)</td><td align="center" valign="middle" >115 (68.5)</td><td align="center" valign="middle" >53 (31.6)</td><td align="center" valign="middle" >3.91 (2.7; 5.5)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Leukopenia (&lt;4 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >467 (26.7)</td><td align="center" valign="middle" >226 (48.4)</td><td align="center" valign="middle" >241 (51.6)</td><td align="center" valign="middle" >1.55 (1.2; 1.9)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Leukocytosis (&gt;10 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >69 (3.9)</td><td align="center" valign="middle" >7 (14.3)</td><td align="center" valign="middle" >42 (85.7)</td><td align="center" valign="middle" >2.41 (0.1; 3.9)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Neutropenia (&lt;1.8 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >735 (42.1)</td><td align="center" valign="middle" >397 (54.0)</td><td align="center" valign="middle" >338 (46.0)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Neutrophil polynucleosis (&lt;7 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >34 (1.9)</td><td align="center" valign="middle" >11 (32.4)</td><td align="center" valign="middle" >23 (67.7)</td><td align="center" valign="middle" >2.8 (1.3; 5.8)</td><td align="center" valign="middle" >0.005</td></tr><tr><td align="center" valign="middle" >Eosinophilia (&gt;0.5 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >294 (16.8)</td><td align="center" valign="middle" >168 (57.1)</td><td align="center" valign="middle" >126 (42.9)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Basophilia (&gt;0.4 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >8 (0.45)</td><td align="center" valign="middle" >4 (50)</td><td align="center" valign="middle" >50 (0.7)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Lymphopenia (&lt;1.5 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >475 (27.2)</td><td align="center" valign="middle" >225 (47.4)</td><td align="center" valign="middle" >250 (52.6)</td><td align="center" valign="middle" >1.6 (1.3; 2.0)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Lymphocytosis (&gt;0.4 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >64 (3.7)</td><td align="center" valign="middle" >25 (36.2)</td><td align="center" valign="middle" >39 (60.4)</td><td align="center" valign="middle" >2.2 (1.3; 3.8)</td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >Monocytosis (&gt;0.6 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >440 (25.2)</td><td align="center" valign="middle" >211 (48.0)</td><td align="center" valign="middle" >229 (52.1)</td><td align="center" valign="middle" >1.6 (1.3; 2.2)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Thrombopenia (&lt;150 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >128 (7.4)</td><td align="center" valign="middle" >63 (49.2)</td><td align="center" valign="middle" >65 (50.8)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Thrombocytosis (&gt;400 &#180; 10<sup>6</sup>/L)</td><td align="center" valign="middle" >202 (11.6)</td><td align="center" valign="middle" >90 (44.6)</td><td align="center" valign="middle" >112 (55.5)</td><td align="center" valign="middle" >1.6 (1.2; 2.2)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Microcytosis (&lt;80 fL)</td><td align="center" valign="middle" >294 (16.8)</td><td align="center" valign="middle" >131 (44.6)</td><td align="center" valign="middle" >163 (55.4)</td><td align="center" valign="middle" >1.5 (1.1; 1.9)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Macrocytosis (&gt;100 fL)</td><td align="center" valign="middle" >289 (16.5)</td><td align="center" valign="middle" >195 (67.5)</td><td align="center" valign="middle" >94 (32.5)</td><td align="center" valign="middle" >0.5 (0.4; 0.7)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Hypochromia (&lt;27 pg)</td><td align="center" valign="middle" >252 (14.4)</td><td align="center" valign="middle" >114 (45.2)</td><td align="center" valign="middle" >138 (54.8)</td><td align="center" valign="middle" >1.6 (1.2; 2.1)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Blood creatinine &gt; 13 mg/L</td><td align="center" valign="middle" >695 (61.0)</td><td align="center" valign="middle" >435 (65.6)</td><td align="center" valign="middle" >260 (37.4)</td><td align="center" valign="middle" >0.6 (0.5; 0.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >ALAT &gt; 66 UI/L</td><td align="center" valign="middle" >656 (57.0)</td><td align="center" valign="middle" >417 (63.6)</td><td align="center" valign="middle" >239 (36.4)</td><td align="center" valign="middle" >0.5 (0.4; 0.7)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >ASAT &gt; 46 UI/L</td><td align="center" valign="middle" >768 (66.9)</td><td align="center" valign="middle" >452 (58.9)</td><td align="center" valign="middle" >316 (41.2)</td><td align="center" valign="middle" >0.7 (0.6; 0.9)</td><td align="center" valign="middle" >0.014</td></tr></tbody></table></table-wrap><p>in a study in Togo. These findings indicate that HIV infection is a problem mainly among young, sexually active women. UNAIDS reported in 2016 that women represented 56% of all people living with HIV in West and central Africa [<xref ref-type="bibr" rid="scirp.82883-ref1">1</xref>] .</p><p>In our study, 79.8% of patients had a CD4 count ≥ 200/mm<sup>3</sup>, and 44.5% had a viral load of &lt;1000 copies/mL. Loz&#232;s et al. [<xref ref-type="bibr" rid="scirp.82883-ref18">18</xref>] found that, after 12 months of treatment, 83.0% of patients had an undetectable viral load and 86.0% had recovered their immunocompetence. Our immunological result is therefore similar, but a high viral load persisted.</p><p>Haematological anomalies in patients on ART are the result of both immunodeficiency and dysregulation of the immune system. Anaemia was observed in 28.0% of patients in our study. This was the principal haematological anomaly found in other studies of people living with HIV: in 75.8% in Bangui [<xref ref-type="bibr" rid="scirp.82883-ref16">16</xref>] , 95.2% in Zimbabwe [<xref ref-type="bibr" rid="scirp.82883-ref7">7</xref>] , 54.5% in Conakry [<xref ref-type="bibr" rid="scirp.82883-ref17">17</xref>] and 13.8% in Togo [<xref ref-type="bibr" rid="scirp.82883-ref19">19</xref>] . We found lower mean values for haemoglobin, haematocrit, mean cell count, leukocytes, polynuclear eosinophils and basophils and lymphocytes but higher blood creatinine, ALAT and ASAT values among patients with a low CD4 count. Immunological failure may be due to complications of opportunistic bacterial, viral, parasitic or fungal infections or to the direct effect of the virus on certain haematopoietic progenitors, giving rise to anomalies in all cell lines [<xref ref-type="bibr" rid="scirp.82883-ref20">20</xref>] . Multiple ART and their secondary effects on patients’ organ systems may be responsible for renal and hepatic lesions [<xref ref-type="bibr" rid="scirp.82883-ref21">21</xref>] .</p><p>Patients with virological failure had lower mean values for erythrocytes, haemoglobin and mean blood count but a higher mean value for ASAT. The mean haemoglobin concentration was 12.4 g/dL for patients with a low viral load and 11.6 g/dL for those with virological failure. Nacoulma et al. [<xref ref-type="bibr" rid="scirp.82883-ref22">22</xref>] found a haemoglobin level of 12.2 g/dL in a study in Burkina Faso. Such anomalies are due to the various mechanisms of HIV infection, which lead to lesions in different cells and organs. Immunological and virological failure evolves to therapeutic failure when patients are exposed to drugs that are toxic to cells.</p><p>Patients with a high CD4 cell count were more likely to have anaemia, leukopenia, eosinophilia, lymphopenia, thrombopenia, microcytosis, hypochromia and abnormal ASAT. These anomalies may be due to various inflammatory mechanisms of HIV infection and secondary effects of ART and of treatments for opportunistic infections. Beuzit et al. [<xref ref-type="bibr" rid="scirp.82883-ref8">8</xref>] found rates of 74% for anaemia, 20% for neutropenia and 15% for thrombopenia in central Africa, and Erhabor et al. [<xref ref-type="bibr" rid="scirp.82883-ref23">23</xref>] found rates of 80%, 24% and 10%, respectively, in Nigeria. The high frequency of anaemia in these two studies was measured before initiation of treatment.</p><p>Creatinine was abnormal in 61.0% of our patients, and the transaminases ALAT and ASAT were abnormal in 57.0% and 66.9% of patients, respectively. These results corroborate those of Mouhari-Tour&#233; et al. in Togo, who found elevated ASAT in 55.9% of patients and elevated ALAT in 29.8%, with a mean creatinine level of 9.6 &#177; 5 mg/L. HIV infection, its treatment and the associated opportunistic infections are all chronic conditions, with harmful effects on stromal, haematopoietic, hepatic and renal cells and the organism’s defence mechanisms.</p><p>Patients with a high viral load were more likely to have leukopenia, leukocytosis, polynuclear neutrophilia, lymphocytosis, monocytosis, thrombocytosis and hypochromia and less likely to have anaemia and abnormal blood creatinine, ALAT and ASAT. These biological abnormalities are due to the immunodeficiency induced by HIV and also to complications of treatment, opportunistic infections and side-effects of ART.</p></sec><sec id="s5"><title>5. Conclusions</title><p>We found immunological failure in 20.2% of patients and virological failure in 44.5%. The main haematological anomalies observed were anaemia, leukopenia, neutropenia and lymphopenia. Blood creatinine was abnormal in 61% of patients, and liver transaminase levels were high. Biological profiling is essential for the diagnosis of therapeutic failure and for the prognosis of HIV infection. The anomalies observed in this study mainly affected the haematopoietic system, the liver and the kidneys. As other organs and systems may also be affected, people living with HIV should undergo periodic multidisciplinary clinical and biological follow-up in order to improve their management.</p></sec><sec id="s6"><title>6. Strengths and Limitations</title><p>Since the recent introduction of HIV-1 viral load measurement in CAR, this study is the first to describe the complete biological profile of Central-African patients infected with HIV. The virological, immunological and haematological parameters were studied as well as liver and renal functions. Anemia was the most frequent abnormality described, as reported in other studies [<xref ref-type="bibr" rid="scirp.82883-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.82883-ref22">22</xref>] . The limitation of the study concerns the poor access to laboratory facilities in the provinces. Since the Pasteur Institute is located in Bangui, most of the patients included come from the capital city. We recommend national policies together with International support will be able to implement the follow-up of HIV infected patients in the provinces.</p></sec><sec id="s7"><title>Cite this paper</title><p>Nyasenu, Y.T., Farra, A., Yambiyo, B.M., Manirakiza, A., Padou, F.D., Yapou, F., Pelembi, P., Mambely-Nzako, R., Mandeng, M.-J., Berlioz-Arthaud, A., Rubbo, P.-A. and Lombart, J.-P. (2018) Biological Profile of HIV-Positive Patients in Bangui, Central African Republic, in 2017. World Journal of AIDS, 8, 11-20. https://doi.org/10.4236/wja.2018.81002</p></sec></body><back><ref-list><title>References</title><ref id="scirp.82883-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">UNAIDS (2017) Fact sheet World AIDS Day. UNAIDS, Geneva, 1-8.  
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