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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JRD</journal-id>
      <journal-title-group>
        <journal-title>Journal of Respiratory Diseases   </journal-title>
      </journal-title-group>
      <issn pub-type="epub">2642-9241</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">JRD-23-4809</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2642-9241.jrd-23-4809</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Spirometric profile of people living with HIV on antiretroviral drugs in Abidjan</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Samake</surname>
            <given-names>Kadiatou</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
          <xref ref-type="aff" rid="idm1840032444">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Koné</surname>
            <given-names>Z</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Daix</surname>
            <given-names>ATJ</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Akoun</surname>
            <given-names>OAMC</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kossa</surname>
            <given-names>DOC</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Bakayoko</surname>
            <given-names>AS</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Domoua</surname>
            <given-names>KMS</given-names>
          </name>
          <xref ref-type="aff" rid="idm1840031076">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1840031076">
        <label>1</label>
        <addr-line>Department of Pneumo-phthisiology, University Hospital of Treichville, Abidjan</addr-line>
      </aff>
      <aff id="idm1840032444">
        <label>*</label>
        <addr-line>Corresponding author</addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Sasho</surname>
            <given-names>Stoleski</given-names>
          </name>
          <xref ref-type="aff" rid="idm1839787780">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1839787780">
        <label>1</label>
        <addr-line>Institute of Occupational Health of R. Macedonia, WHO CC and Ga2len CC.</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Samake Kadiatou, <addr-line>Department of Pneumo-phtisiology, University Hospital of Treichville, BP V03 Abidjan, Ivory Coast</addr-line>, <email>samakekadiatou22@yahoo.fr</email></corresp>
        <fn fn-type="conflict" id="idm1840841316">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2024-01-08">
        <day>08</day>
        <month>01</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>3</issue>
      <fpage>15</fpage>
      <lpage>25</lpage>
      <history>
        <date date-type="received">
          <day>02</day>
          <month>11</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>12</month>
          <year>2023</year>
        </date>
        <date date-type="online">
          <day>08</day>
          <month>01</month>
          <year>2024</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>©</copyright-statement>
        <copyright-year>2024</copyright-year>
        <copyright-holder>Samake Kadiatou, et al.</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/jrd/article/2056">This article is available from http://openaccesspub.org/jrd/article/2056</self-uri>
      <abstract>
        <sec id="idm1839787420">
          <title>Introduction</title>
          <p>People living with HIV (PLHIV) are susceptible to developing non- communicable chronic respiratory diseases. Our objective was to study the spirometric profile of this population.</p>
        </sec>
        <sec id="idm1839785476">
          <title>Material and methods</title>
          <p>This was a descriptive and analytical cross-sectional retro-prospective study conducted from March 15 to June 15, 2022 and relating to the   analysis of the medical files of asymptomatic and eligible for spirometry PLHIV, aged 18 years and above. They were received in the voluntary counselling and testing (VCT) centres of one of the two pulmonology departments in Abidjan.</p>
        </sec>
        <sec id="idm1839787204">
          <title>Results</title>
          <p>The study involved 54 subjects including 22 men (40.7%) and 32 women (59.3%) with an average age of 48.9 years. The majority of patients were                non-smokers (81.4%) and the main history was pulmonary tuberculosis (35.2%).   Only 29.6% had chronic respiratory symptoms and 42.6% had a normal BMI. The frequency of spirometric abnormalities was 57.4%. These spirometric abnormalities included 40.7% peripheral obstructive pattern; 9.3% restrictive pattern; 3.7% asthma and 3.7% COPD. A more than 10 years duration of HIV infection (p=0.001 OR= 0.2 (0.1 – 0.7)) and a duration of ART of at least 10 years (p=0.001 OR= 0, 2 (0.1 – 0.7)) were significantly associated with the existence of ventilatory abnormalities.</p>
        </sec>
        <sec id="idm1839785908">
          <title>Conclusion</title>
          <p>The high frequency of ventilatory anomalies in PLHIV independently of the existence of chronic respiratory signs leads us to propose spirometry in the follow-up assessment of PLHIV while paying particular attention to those on ARVs for more than 10 years.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>Profile</kwd>
        <kwd>Spirometry</kwd>
        <kwd>PLHIV</kwd>
        <kwd>Antiretroviral</kwd>
        <kwd>Abidjan.</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="2"/>
        <page-count count="11"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1839787132" sec-type="intro">
      <title>Introduction</title>
      <p>The Human Immunodeficiency Virus (HIV) remains a major public health problem worldwide <xref ref-type="bibr" rid="ridm1841199236">1</xref>. People living with HIV (PLHIV) are the prerogative of opportunistic infections, the frequency of which is decreasing with the advent of triple antiretroviral therapy and cotrimoxazole prophylaxis. Currently, there is an increase in chronic    non-communicable diseases in this population. The prevalence of non-communicable chronic respiratory diseases increased from 11.9 in 2007 to 14.1% in 2013<xref ref-type="bibr" rid="ridm1841201108">2</xref>. Among the non-communicable chronic respiratory diseases described in PLHIV, asthma and chronic obstructive pulmonary disease (COPD) are cited as significant factors of  morbidity and mortality <xref ref-type="bibr" rid="ridm1841277916">3</xref><xref ref-type="bibr" rid="ridm1841059860">4</xref><xref ref-type="bibr" rid="ridm1841056116">5</xref>. Several Western studies have pointed out that HIV infection and antiretroviral treatment (ART) can contribute to the development of these diseases in PLHIV <xref ref-type="bibr" rid="ridm1841049580">6</xref><xref ref-type="bibr" rid="ridm1841044972">7</xref><xref ref-type="bibr" rid="ridm1841021612">8</xref>. Also, HIV is a risk factor for developing chronic            obstructive pulmonary disease (COPD), pulmonary arterial hypertension (PAH) and chronic respiratory failure (CRF) <xref ref-type="bibr" rid="ridm1841201108">2</xref>. Studies conducted in developed countries have shown that the prevalence of  obstructive ventilatory defect (OVD) in PLHIV ranged from 7 to 21% <xref ref-type="bibr" rid="ridm1841010212">9</xref>. This high prevalence of OVD was observed in both children and adults infected with HIV. <xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1841044972">7</xref><xref ref-type="bibr" rid="ridm1841007260">10</xref>. A history of                  pulmonary tuberculosis, low CD4 count, prolonged duration of HIV infection and smoking have been identified as factors associated with these ventilatory defects, although the mechanisms are not clearly established <xref ref-type="bibr" rid="ridm1841003516">11</xref>. In sub-Saharan Africa, the region of the world with the highest proportion of PLHIV, very few studies have focused on spirometric abnormalities within this population. The frequency of spirometric abnormalities was 13% in South Africa and a prevalence of 5.2% of COPD and 5.2% of asthma in    Cameroon <xref ref-type="bibr" rid="ridm1841013812">12</xref><xref ref-type="bibr" rid="ridm1840981340">13</xref>. Due to the additional morbidity that a non-communicable chronic respiratory disease would cause in this population, and given the lack of data on the subject in sub-Saharan Africa, specifically in Côte d'Ivoire, this works’ objective has been set to study the spirometric profile of PLHIV followed in pneumology.</p>
    </sec>
    <sec id="idm1839786268" sec-type="materials">
      <title>Materials and methods</title>
      <p>This was a descriptive and analytical retro-prospective cross-sectional study, conducted in the voluntary counselling and testing (VCT) centres, specialized in monitoring PLHIV and supplying them with ART in the pulmonology units of the Cocody and Treichville University Hospital Centres in the district of Abidjan, from March 15 to June 15, 2022. This study concerned PLHIV aged at least 18 years, received in the VCT centres of one of the centres mentioned for the medical follow-up of HIV infection,          presenting no acute respiratory or general symptoms (dyspnoea, cough, fever ≤ 3 weeks), no                contraindication to performing spirometry according to the ATS/ERS 2019 criteria <xref ref-type="bibr" rid="ridm1840972412">14</xref>, and having agreed to participate in the study after obtaining informed consent. Were excluded from the study, those with known asthma or COPD (<xref ref-type="fig" rid="idm1841579244">Figure 1</xref>). Spirometry was performed in every person included in the study. We used as equipment a 7-inch touch screen portable turbine spirometer with an integrated printer (Spirolab New®) with the accessories (turbine, disposable mouthpiece, an antibacterial filter, nose clip and an inhalation chamber), salbutamol spray dosed at 100 µg and a pulse oximeter. When performing the test, acceptability and repeatability criteria of the parameters were applied according to the ATS/ERS recommendations <xref ref-type="bibr" rid="ridm1840972412">14</xref>. The reference values were those of the African-American population, taken from the Global Lung Initiative (GLI) <xref ref-type="bibr" rid="ridm1840970612">15</xref>. The instructions were well explained before any manoeuvre and at least three tests were carried out by the subject with a maximum of eight tests. For hygiene purpose, the material used, in particular the mouthpiece, turbine and antibacterial filter, was single-use and disposable. The spirometric data were interpreted using operational definitions. The diagnosis of COPD was made on the basis of a Tiffeneau index (FEV1/FVC) post bronchodilator less than 0.7 or below the lower limit of normal (LLN) <xref ref-type="bibr" rid="ridm1841010212">9</xref><xref ref-type="bibr" rid="ridm1840966148">16</xref>. The severity of COPD was assessed by the value of the FEV1; that of asthma was retained on the basis of at least 12% and 200 ml increase in the FEV1 after the inhalation of 400 micrograms of salbutamol through an inhalation chamber <xref ref-type="bibr" rid="ridm1840950468">17</xref>; the obstruction of the small       calibre bronchi was retained before a forced expiratory flow (FEF25-75%) below 65% of the predicted value. A proportional decrease in airflow and lung volume below the LLN with a stable or high          Tiffeneau index was suggestive of a restrictive ventilatory defect (RVD) <xref ref-type="bibr" rid="ridm1840966148">16</xref>. On the other hand, a disproportionate decrease in ventilatory flow and lung volumes below the LLN with a decreased             Tiffeneau index was suggestive of a mixed ventilatory defect (OVD with restrictive pattern) <xref ref-type="bibr" rid="ridm1840966148">16</xref>.       Spirometry was considered normal when FVC and FEV1 values were greater than or equal to 80% of the predicted value, a Tiffeneau greater than 0.7 and peripheral flows above 65% of the predicted value <xref ref-type="bibr" rid="ridm1840972412">14</xref>. Data was collected from the medical records of PLHIV using a standardized and anonymous survey form. These were socio-demographic data (age, sex, profession, level of education), clinical data          including history (HIV status, lung infection, smoking), respiratory symptoms and physical examination (height, weight, BMI), biological (CD4 count, viral load) and spirometric parameters (lung flow rates and volumes). Data collected on individualized questionnaires were recorded in CSPRO 7.3 software and then exported to SPSS version 26 for statistical analysis. We performed bivariate analysis using the Chi<sup>²</sup> test or Fisher's exact test for predicted counts less than 5 to determine factors potentially related to        spirometric abnormalities, and logistic regression analysis to identify factors independently associated with spirometric abnormalities. Statistical significance threshold was set at 5% for all analyses.</p>
      <fig id="idm1841579244">
        <label>Figure 1.</label>
        <caption>
          <title> Patient Recruitment Flowchart</title>
        </caption>
        <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
      </fig>
    </sec>
    <sec id="idm1839784756" sec-type="results">
      <title>Results</title>
      <sec id="idm1839785260">
        <title>Socio-demographic characteristics</title>
        <p>The study population was composed of 409 women (59.3%) and 356 men (40.7%), with an average age of 48.9 ± 10.8 years with ages ranging from 24 to 79 years. The age group 40 to 50 years represented 42.6%. (<xref ref-type="table" rid="idm1841575500">Table 1</xref>).</p>
        <p>PLHIV mostly worked in the informal sector (46.3%), the majority had attended the secondary level of education (37%) followed by the primary level (29.6%).</p>
        <table-wrap id="idm1841575500">
          <label>Table 1.</label>
          <caption>
            <title>Socio-demographic characteristics of PLHIV</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td colspan="2">Socio demographic characteristics  </td>
                <td>Effective (n=54)</td>
                <td>%</td>
              </tr>
              <tr>
                <td>Age </td>
                <td>(20-30)</td>
                <td>3</td>
                <td>5.6</td>
              </tr>
              <tr>
                <td/>
                <td>(30- 40)</td>
                <td>5</td>
                <td>9.3</td>
              </tr>
              <tr>
                <td/>
                <td>(40 -50)</td>
                <td>23</td>
                <td>42.6</td>
              </tr>
              <tr>
                <td/>
                <td>(50 -60)</td>
                <td>16</td>
                <td>29.6</td>
              </tr>
              <tr>
                <td/>
                <td>(60 -70)</td>
                <td>5</td>
                <td>9.3</td>
              </tr>
              <tr>
                <td/>
                <td>≥70 years</td>
                <td>2</td>
                <td>3.76</td>
              </tr>
              <tr>
                <td>Sex </td>
                <td>Male</td>
                <td>22</td>
                <td>40.7</td>
              </tr>
              <tr>
                <td/>
                <td>Female</td>
                <td>32</td>
                <td>59.36</td>
              </tr>
              <tr>
                <td>
                  <bold>Age of HIV diagnosis </bold>
                </td>
                <td>&lt;5 years</td>
                <td>11</td>
                <td>20.4</td>
              </tr>
              <tr>
                <td/>
                <td>(5 – 10)</td>
                <td>9</td>
                <td>16.7</td>
              </tr>
              <tr>
                <td/>
                <td>≥ 10 years</td>
                <td>32</td>
                <td>59.3</td>
              </tr>
              <tr>
                <td>
                  <bold>Duration of ARV treatment </bold>
                </td>
                <td>&lt;5 years</td>
                <td>12</td>
                <td>22.2</td>
              </tr>
              <tr>
                <td/>
                <td>(5 – 10)</td>
                <td>10</td>
                <td>18.5</td>
              </tr>
              <tr>
                <td/>
                <td>≥ 10 years</td>
                <td>32</td>
                <td>0.9</td>
              </tr>
              <tr>
                <td>
                  <bold>ARV treatment </bold>
                </td>
                <td>TDF/3TC/DTG</td>
                <td>42</td>
                <td>77.8</td>
              </tr>
              <tr>
                <td/>
                <td>TDF/3TC/EFV</td>
                <td>7</td>
                <td>13</td>
              </tr>
              <tr>
                <td/>
                <td>Others*</td>
                <td>5</td>
                <td>9.4</td>
              </tr>
              <tr>
                <td>
                  <bold>Adherence to ARV treatment</bold>
                </td>
                <td>Yes</td>
                <td>51</td>
                <td>94.4</td>
              </tr>
              <tr>
                <td/>
                <td>No</td>
                <td>3</td>
                <td>5.6</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1839714412">
              <label/>
              <p>*AZT/3TC/ATV-R (01) AZT/3TC/DTG (03) AZT/3TC/LPV-r (01)</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec id="idm1839712612">
        <title>Characteristics of HIV infection</title>
        <p>The majority (63%) of patients had been known to be PLHIV for at least 10 years with an average       seniority of 11.3 ± 5.6 years and a standard deviation of 5.6 years (extremes: 1 – 21 years). All patients were on ART at the time of the study (100%). Among them 59.3% had been on ART for at least 10 years. The average duration of ART was 10.4 ± 5.3 years (extremes: 1 – 21 years). The majority of patients (77.8%) were on the  Tenofovir/Lamivudine/Dolutegravir (TLD) triple therapy with good adherence to the ART in 94.4% of cases. (<xref ref-type="table" rid="idm1841575500">Table 1</xref>)</p>
        <p>The CD4 count at diagnosis of HIV infection had a median of 240.5 (82.3 – 419) cells/mm<sup>3</sup> (range: 1 – 709 cells/mm<sup>3</sup>). Majority of the patients had moderate immunosuppression (48.1%). The median viral load was 20 (1-50) copies/ml (range: 0 – 306.000 copies/ml) and was detectable in 51.9% of patients. Patients who received cotrimoxazole chemoprophylaxis represented 25.9% compared to 3.7% who received isoniazid.</p>
      </sec>
      <sec id="idm1839713548">
        <title>Clinical features</title>
        <p>A history of lung infection was the most common (48.1%). Of these, pulmonary tuberculosis was the most frequent (35.2%). The larger number of our patients were non-smokers (81.4%). Biomass smoke (25.9%) and pesticides (7.4%) were the airborne contaminants to which PLHIV were most exposed. The average duration of exposure to biomass smoke was 24.3 ± 11.1 years and that of exposure to pesticides was 13.9 ± 5.9 years. Chronic respiratory symptoms found in 16 patients (29.6%) were mainly dyspnoea (16.7%) and dry cough (13%). The Body Mass Index (BMI) was normal in 42.6% of patients with an average BMI of 25.5 kg/m<sup>2</sup> ± 4.5 kg/m<sup>2</sup> (extremes: 17.1 – 35 kg/m<sup>2</sup>).</p>
      </sec>
      <sec id="idm1839693172">
        <title>Spirometric characteristics</title>
        <p>The majority of patients (72.2%) had a normal FEV1 with an average FEV1 of 90.1 ± 16.0% of theoretical (extremes: 64 – 128%). The average FVC was 97.7 ± 15.8% of the theoretical (extremes: 63 – 133%) and 87% of the patients had a normal FVC. The mean Tiffeneau ratio was 77.8 ± 6.5% (range: 56.7 – 91.2%). This ratio was normal in 94.4% of patients. The average FEF25 – 75 was 63.1 ± 22.6% (extremes: 26 – 135%). More than half of the patients (59.3%) had a FEF25 – 75 higher than the norm. The frequency of spirometric abnormalities was 57.4%. Peripheral obstructive ventilatory defect (40.7%) was the most frequent ventilatory anomaly (<xref ref-type="fig" rid="idm1841462588">Figure 2</xref>).</p>
        <fig id="idm1841462588">
          <label>Figure 2.</label>
          <caption>
            <title> Spirometric abnormalities identified in patients</title>
          </caption>
          <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
        </fig>
      </sec>
      <sec id="idm1839693892">
        <title>Factors associated with spirometric abnormalities</title>
        <p>The factors associated with spirometric abnormalities were a more than 10 years duration since the diagnosis of HIV infection (p=0.001 OR= 0.2 (0.1 – 0.7) and an ART of at least 10 years (p=0.001 OR= 0.2 (0.1 – 0.7). However, there was no significant link between socio- demographic characteristics (gender, age, level of education), history of lung infection and smoking, respiratory symptoms, BMI and the presence of spirometric abnormalities (<xref ref-type="table" rid="idm1841459204">Table 2</xref>).</p>
        <table-wrap id="idm1841459204">
          <label>Table 2.</label>
          <caption>
            <title> Factors associated with spirometric disorders in PLHIV</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <td>  <bold>Variable</bold></td>
                <td colspan="2">
                  <bold>Spirometric abnormalities</bold>
                </td>
                <td colspan="2">
                  <bold> </bold>
                  <bold>OR </bold>
                  <bold>(95% CI)</bold>
                </td>
                <td>
                  <bold>P-</bold>
                  <bold> value</bold>
                </td>
              </tr>
              <tr>
                <td/>
                <td>
                  <bold>Yes, n (%)</bold>
                </td>
                <td>
                  <bold>No n (%)</bold>
                </td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>Age (years)</bold>
                </th>
              </tr>
              <tr>
                <td>&lt;50 years</td>
                <td>14 (45.2)</td>
                <td>16 (69.5)</td>
                <td colspan="2">1.1 (0.4- 3.4)  </td>
                <td>0.13  </td>
              </tr>
              <tr>
                <td>≥50 years</td>
                <td>17 (54.9)</td>
                <td>6 (26.1)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>Sex</bold>
                </th>
              </tr>
              <tr>
                <td>Male</td>
                <td>12 (38.7)</td>
                <td>10 (43.5) 13</td>
                <td colspan="2">0.8 (0.3- 2.5) </td>
                <td>0.78 </td>
              </tr>
              <tr>
                <td>Female</td>
                <td>19 (61.3)</td>
                <td>  -56.5</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>Level of education</bold>
                </th>
              </tr>
              <tr>
                <td>&lt; Secondary</td>
                <td>15 (48.4)</td>
                <td>12 (52.2)</td>
                <td colspan="2">1.1 (0.4- 3.4)</td>
                <td>0.78 </td>
              </tr>
              <tr>
                <td>≥ Secondary</td>
                <td>16 (51.6)</td>
                <td>11 (47.8)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>Length of HIV infection</bold>
                </th>
              </tr>
              <tr>
                <td>&lt; 10 years</td>
                <td>7 (22.6)</td>
                <td>13 (56.5)</td>
                <td colspan="2">0.2 (0.1- 0.7) </td>
                <td>
                  <bold>0.01</bold>
                </td>
              </tr>
              <tr>
                <td>≥ 10 years</td>
                <td>24 (77.4)</td>
                <td>10 (43.5)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>ART duration</bold>
                </th>
              </tr>
              <tr>
                <td>&lt; 10 years</td>
                <td>8 (25.8)</td>
                <td>14 (60.9)</td>
                <td colspan="2">0.2 (0.1 - 0.7) </td>
                <td>
                  <bold>0.01</bold>
                </td>
              </tr>
              <tr>
                <td>≥ 10 years</td>
                <td>23 (74.2)</td>
                <td>9 (39.1)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>ART combination</bold>
                </th>
              </tr>
              <tr>
                <td>TDF/3TC/DTG</td>
                <td>25 (80.6)</td>
                <td>17 (73.9)</td>
                <td colspan="2">1.5 (0.4 - 5.3)</td>
                <td>0.56</td>
              </tr>
              <tr>
                <td>TDF/3TC/EFV</td>
                <td>3 (9.7)</td>
                <td>4 (17.4)</td>
                <td colspan="2">0.5 (0.1 - 2.5)</td>
                <td>0.44</td>
              </tr>
              <tr>
                <td>Other</td>
                <td>3 (9.7)</td>
                <td>2 (8.7)</td>
                <td colspan="2">1.1 (0.2 - 7.3)</td>
                <td>1.00</td>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>Viral load</bold>
                </th>
              </tr>
              <tr>
                <td>Undetectable</td>
                <td>15 (48.4)</td>
                <td>11 (47.8)</td>
                <td colspan="2">1.1 (0.3 - 3.1) </td>
                <td>0.97 </td>
              </tr>
              <tr>
                <td>Detectable</td>
                <td>16 (51.6)</td>
                <td>12 (52.2)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6">
                  <bold>Initial CD4 count</bold>
                </th>
              </tr>
              <tr>
                <td>≤200</td>
                <td>13 (41.9)</td>
                <td>11 (47.8)</td>
                <td colspan="2">0.8 (0.3 - 2.3) </td>
                <td>0.67 </td>
              </tr>
              <tr>
                <td>&gt;200</td>
                <td>18 (58.1)</td>
                <td>12 (52.2)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6"><bold>Smoking </bold>       </th>
              </tr>
              <tr>
                <td>Yes</td>
                <td>6(19.4)</td>
                <td> 4(17.4) </td>
                <td>1.1 (0.3- 4.6)  </td>
                <td/>
                <td>1.00  </td>
              </tr>
              <tr>
                <td>No</td>
                <td>25(80.6)</td>
                <td>19(82.6)</td>
                <td/>
                <td/>
                <td/>
              </tr>
              <tr>
                <td colspan="6"><bold>History</bold><bold>of</bold><bold>tuberculosis </bold>       </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>13(76.5)</td>
                <td>6(66.7)</td>
                <td colspan="2">1.6 (0.3- 9.6)  </td>
                <td>   0.66</td>
              </tr>
              <tr>
                <td>No</td>
                <td>4(23.5)</td>
                <td>8(33.3)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <td colspan="6"><bold>History</bold><bold>of</bold><bold>pneumonia </bold>       </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>2(11.8)</td>
                <td>3(33.3)</td>
                <td colspan="2">0.3(0.1 - 2.1)  </td>
                <td>0.30  </td>
              </tr>
              <tr>
                <td>No</td>
                <td>15(88.2)</td>
                <td>6(66.7)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <th colspan="6"><bold>BMI </bold>       </th>
              </tr>
              <tr>
                <td>&lt; 25 kg/m<sup>²</sup></td>
                <td>16(51.6)</td>
                <td>10(43.5)</td>
                <td colspan="2">  1.4(0.5 - 4.1)</td>
                <td>0.55  </td>
              </tr>
              <tr>
                <td>≥ 25 kg /m<sup>²</sup></td>
                <td>15(48.4)</td>
                <td>13(56.5)</td>
                <td colspan="2"/>
                <td/>
              </tr>
              <tr>
                <td colspan="6"><bold>Respiratory</bold><bold>symptoms </bold>       </td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>11(35.5)</td>
                <td> 5(21.7) </td>
                <td colspan="2">1.9(0.6 - 6.8)  </td>
                <td>  0.27</td>
              </tr>
              <tr>
                <td>No</td>
                <td>20(64.5)</td>
                <td>18(78.3)</td>
                <td colspan="2"/>
                <td/>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="idm1839595060" sec-type="discussion">
      <title>Discussion</title>
      <sec id="idm1839596932">
        <title>Limits of the study</title>
        <p>One of the weaknesses of our study lies in the non-inclusion of 29.65% of cases due to the inability to perform spirometric manoeuvres, responsible for our small sample size. The retrospective component of our study limited the data collected to the sole information available in the patients’ files such as         biological data (viral load, CD4 count), some of which were absent. However, the CD4 count and viral load are no longer mandatory for ART initiation. Finally, our analysis of ventilatory function was limited to spirometry. The presence of a RVD in spirometry requires plethysmography for confirmation of this disorder. Despite these limitations, to the best of our knowledge, this study is one of the first in Côte d'Ivoire to assess the ventilatory function of PLHIV. It analysis the profile of spirometric abnormalities observed in PLHIV treated with ARVs.</p>
      </sec>
      <sec id="idm1839595636">
        <title>Socio-demographic characteristics</title>
        <p>The mean age of the patients was 48.9 years with a standard deviation of 10.8 years. The age group of 40 to 50 years was the most represented (42.6%). Our results are close to the average age reported in many studies, particularly in the USA <xref ref-type="bibr" rid="ridm1840948524">18</xref>, South Africa <xref ref-type="bibr" rid="ridm1840941252">19</xref> and Cameroon <xref ref-type="bibr" rid="ridm1840981340">13</xref> which found an average age of 50, 43.5 and 42.6 years old respectively.</p>
        <p>Our study population was mainly composed of women (59.3%) with a sex ratio M/F of 0.68. In the world population and particularly in Côte d'Ivoire, the prevalence of HIV is higher in women than in men <xref ref-type="bibr" rid="ridm1841199236">1</xref><xref ref-type="bibr" rid="ridm1841013812">12</xref>.</p>
      </sec>
      <sec id="idm1839596860">
        <title>Prevalence of spirometric abnormalities in PLHIV</title>
        <p>The frequency of ventilatory anomalies in our study was 57.4%. This is higher than what is found in the literature mainly because of the peripheral OVDs which were not sought in these various studies <xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1840941252">19</xref><xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1840948524">18</xref><xref ref-type="bibr" rid="ridm1840951620">20</xref>. The prevalence of peripheral OVD was 40.7% in our work. We did not find in the     literature a study focusing on this peripheral damage, which would reflect damage to the small bronchi without abnormality of the large bronchi. Particularly in the early forms of COPD, inflammation and structural changes begin and predominate in the distal airways <xref ref-type="bibr" rid="ridm1840925780">21</xref>. Unlike peripheral OVD, that of    asthma was 3.7% in our study population. This frequency is lower than the hospital frequency of 5.2% for asthma found by Pefura-Yone et al. in Cameroon in 2015 <xref ref-type="bibr" rid="ridm1840981340">13</xref> and at 7% by Van Riel et al in South Africa <xref ref-type="bibr" rid="ridm1840941252">19</xref>. The frequency of asthma in our study is higher than the 2.99% found by Koffi N et al in Abidjan, Côte d'Ivoire in 2001<xref ref-type="bibr" rid="ridm1840920596">22</xref> and the 2.7% found by Hirani et al in their study <xref ref-type="bibr" rid="ridm1840951620">20</xref>. The prevalence of COPD in our study population was 3.7%. This proportion was higher than the Ivorian hospital prevalence of COPD found by Anon et al in 2020, which was 2.5% <xref ref-type="bibr" rid="ridm1840918580">23</xref>. On the other hand, our frequency of COPD was significantly lower than those reported by several African and Western studies where it varied from 5.2 to 27%. <xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1840948524">18</xref><xref ref-type="bibr" rid="ridm1840941252">19</xref><xref ref-type="bibr" rid="ridm1840951620">20</xref> This difference could be explained by the higher                percentage of smoking patients/former smokers in these different studies than that of our series where the majority of our   patients (81.4%) were non- smokers. This high proportion of non-smoking patients is consistent with most studies conducted in sub-Saharan Africa <xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1841049580">6</xref><xref ref-type="bibr" rid="ridm1840941252">19</xref>, but remains lower than that of Western studies <xref ref-type="bibr" rid="ridm1841201108">2</xref><xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1840948524">18</xref><xref ref-type="bibr" rid="ridm1840951620">20</xref><xref ref-type="bibr" rid="ridm1841003516">11</xref>. It is already established that smoking is a risk factor or even aetiology of COPD and several studies have demonstrated in their cohort of PLHIV, smoking as a risk factor for the              development of non-reversible OVD <xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1840948524">18</xref>. However, in sub-Saharan Africa, another risk factor to consider in the occurrence of COPD is environmental exposure, particularly to biomass (25.9% in our study). The frequency of RVD in our series (9.3%) is close to that reported by Drummond et al (10%), although slightly higher than that of the general American population of 7% <xref ref-type="bibr" rid="ridm1840948524">18</xref>. The prevalence of RVD was 38% in Cameroon among PLHIV naïve to ART <xref ref-type="bibr" rid="ridm1840930676">24</xref>. Given the history of pleuropulmonary infection (48.1%), one would have expected a higher frequency of RVD among the PLHIV in our series. This low frequency of RVD could be related to the almost complete recovery of the lung parenchyma and pleura following these infections, with very few sequelae.</p>
      </sec>
      <sec id="idm1839595420">
        <title>Factors associated with spirometric abnormalities</title>
        <p>Previous studies have clearly demonstrated age as a factor associated with spirometric abnormalities in PLHIV <xref ref-type="bibr" rid="ridm1840941252">19</xref>, particularly in the 40 to 50 years age group <xref ref-type="bibr" rid="ridm1840948524">18</xref>. This age group was independently                  associated with the presence of RVD <xref ref-type="bibr" rid="ridm1841013812">12</xref>. In our series, this link was not significant. Similarly, male sex has been identified as a risk factor for developing spirometric disorders in PLHIV <xref ref-type="bibr" rid="ridm1840941252">19</xref><xref ref-type="bibr" rid="ridm1840898924">25</xref>, but this association was not significant in our study. Other elements, particularly the low level of education (below secondary) have been described as a factor associated with RVD <xref ref-type="bibr" rid="ridm1840898492">26</xref>. However, this was not the case in our study. The duration since HIV diagnosis was on average 11.3 years. A less than 13 years average duration of HIV diagnosis was obtained by Gingo et al in the United States <xref ref-type="bibr" rid="ridm1841056116">5</xref>, but was significantly higher than the 6.25 years obtained by van Riel et al in South Africa <xref ref-type="bibr" rid="ridm1840941252">19</xref>. Patients with a more than 10 years diagnosis of HIV had significantly more ventilatory abnormalities (p=0.001). Similar observations have been made both in Europe and in Africa. Indeed, Kristoffersen et al in Denmark found an average duration of infection of 9.25 years and a duration of infection greater than 10 years significantly associated with the presence of OVD <xref ref-type="bibr" rid="ridm1840892732">27</xref>. Drummond et al <xref ref-type="bibr" rid="ridm1841003516">11</xref> also found the prolonged duration of HIV infection as a risk factor for developing a ventilatory defect. This increased risk of   ventilatory abnormalities with duration of HIV exposure could be explained by direct virus-related     pulmonary toxicity, persistent systemic inflammation, altered antioxidant/oxidant balance resulting in oxidative stress, and accelerated immune deterioration. However, ART and duration would also play a role in the occurrence of ventilatory abnormalities. The average duration of ART instituted according to the WHO regimen was 10.4 years. Patients on ART for at least 10 years in our series had significantly more ventilatory abnormalities (p=0.001). TDF+3TC+DTG triple therapy was the most widely used treatment (77.8%) and the majority of our patients (94.4%) were adherent to treatment. Several studies also found an association between the duration of ART and the existence of a ventilatory abnormality. Indeed, Gingo et al in the United States found ART as a risk factor for developing non-reversible OVD. However, the triple therapy used was not specified in this study <xref ref-type="bibr" rid="ridm1841056116">5</xref>. George et al reported that ART use was independently associated with the development of OVD <xref ref-type="bibr" rid="ridm1841007260">10</xref>. The link between ART and                            ventilatory disorders is not known, but potential explanations include the direct effects of ART in the lungs, the restoration of the immune system resulting in a renewed response to subclinical infections and/or the development of auto–immunity. ART-associated cardiovascular diseases, metabolic syndrome, and osteoporosis may be directly linked to antiretroviral agents, particularly protease                    inhibitors <xref ref-type="bibr" rid="ridm1840888196">28</xref>, but there are no published reports of antiretroviral drugs and ventilatory disorders. On the other hand, literature notes a link between the degree of immunosuppression and the occurrence of ventilatory anomalies in this population. Several series <xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1841044972">7</xref><xref ref-type="bibr" rid="ridm1841007260">10</xref><xref ref-type="bibr" rid="ridm1841003516">11</xref><xref ref-type="bibr" rid="ridm1840883732">29</xref> have found an association                  between low CD4 count, the high viral load and the development of ventilatory disorders. However, these data may not be applicable to patients with less severe immunodeficiency, as is the case in our study where 48.1% had moderate immunosuppression and an undetectable viral load. Whatever the case, ventilatory anomalies will lead to respiratory manifestations which may vary according to the patient's smoking profile. In our series, the high proportion of non-smokers (81.4%) observed is                 consistent with most studies conducted in sub-Saharan Africa <xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1841049580">6</xref><xref ref-type="bibr" rid="ridm1840941252">19</xref><xref ref-type="bibr" rid="ridm1840898492">26</xref> but remains lower than those of Western studies <xref ref-type="bibr" rid="ridm1841201108">2</xref><xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1840948524">18</xref><xref ref-type="bibr" rid="ridm1840951620">20</xref><xref ref-type="bibr" rid="ridm1841003516">11</xref><xref ref-type="bibr" rid="ridm1840883732">29</xref>. Indeed, the prevalence of smoking in sub- Saharan Africa in the general population remains lower than that observed in the Western world. It has already been established that smoking is a risk factor or even an aetiology of COPD, but also described as a factor in the development of non-reversible OVD in PLHIV <xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1840948524">18</xref>. However, in sub-Saharan Africa, another risk factor to consider in the occurrence of COPD is environmental exposure, particularly to biomass (25.9% in our study). A history of pleuropulmonary infection was found in 48.1% of our patients and consisted mainly of pulmonary tuberculosis (35.2%). It has been demonstrated that PLHIV with a history of pulmonary tuberculosis are more at risk of developing RVD <xref ref-type="bibr" rid="ridm1841056116">5</xref><xref ref-type="bibr" rid="ridm1841013812">12</xref><xref ref-type="bibr" rid="ridm1840898492">26</xref> and sometimes OVD <xref ref-type="bibr" rid="ridm1840981340">13</xref><xref ref-type="bibr" rid="ridm1840941252">19</xref><xref ref-type="bibr" rid="ridm1840883732">29</xref>, but the association was not statistically significant, possibly because of our small sample. Indeed, tuberculosis through its sequelae can lead to ventilatory restriction in these patients who are sometimes undernourished or even emaciated. Underweight (defined by a BMI&lt;18.5 kg/m<sup>2</sup>) was found by certain series to be a risk factor for developing a ventilatory anomaly <xref ref-type="bibr" rid="ridm1841049580">6</xref>. In our study, we did not find an association between BMI and the presence of ventilatory abnormality. This could be explained by the fact that the majority of our patients had a normal BMI (42.6%). Similarly, only 29.6%                complained of chronic respiratory symptoms despite the high prevalence of ventilatory abnormalities. Gingo et al as well as Drummond et al had also found a discrepancy between patient complaints and the presence of ventilatory abnormalities <xref ref-type="bibr" rid="ridm1840948524">18</xref><xref ref-type="bibr" rid="ridm1840882148">30</xref>. This would mean that one should not always wait for the complaint of dyspnoea or chronic cough to consider spirometry for a PLHIV. Spirometry should                    therefore be part of the respiratory assessment of PLHIV whether they have chronic respiratory                 symptoms or not. However, the profile of these patients should be well defined.</p>
      </sec>
    </sec>
    <sec id="idm1839595852" sec-type="conclusions">
      <title>Conclusion</title>
      <p>The high frequency of ventilatory abnormalities in PLHIV independently of the existence of chronic respiratory symptoms leads us to propose spirometry in the assessment of PLHIV. Particular attention should be paid to PLHIV treated for more than 10 years with ARTs in view of the risk of developing these ventilatory disorders. A larger-scale study would better define the profile of PLHIV who should benefit from this routine spirometry.</p>
    </sec>
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