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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojmm</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Medical Microbiology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2165-3380</issn>
      <issn pub-type="ppub">2165-3372</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojmm.2025.154023</article-id>
      <article-id pub-id-type="publisher-id">ojmm-147907</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Medicine</subject>
          <subject>Healthcare</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Report on Anti-Tuberculosis Treatment in Patients Monitored Health Center in Dakar, Senegal</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Thiam</surname>
            <given-names>Mouhamadou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ba</surname>
            <given-names>Aminata</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Faye</surname>
            <given-names>Abdou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Boye</surname>
            <given-names>Mouhamadou Moustapha</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Ndiaye</surname>
            <given-names>Serigne Mbaye Lo</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Sy</surname>
            <given-names>Rokhaya</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Sene</surname>
            <given-names>Madièye</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> CHNU Fann Hospital Pharmacy, Dakar, Senegal </aff>
      <aff id="aff2"><label>2</label> Faculty of Medicine, Pharmacy and Odonto-Stomatogy, Cheikh Anta Diop University, Dakar, Senegal </aff>
      <aff id="aff3"><label>3</label> Nabil Choucair Health Center, Dakar, Senegal </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>27</day>
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <volume>15</volume>
      <issue>04</issue>
      <fpage>290</fpage>
      <lpage>300</lpage>
      <history>
        <date date-type="received">
          <day>24</day>
          <month>10</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>08</day>
          <month>12</month>
          <year>2025</year>
        </date>
        <date date-type="published">
          <day>11</day>
          <month>12</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2025 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojmm.2025.154023">https://doi.org/10.4236/ojmm.2025.154023</self-uri>
      <abstract>
        <p><bold>Introduction:</bold>Tuberculosis is a contagious infectious disease caused by a mycobacterium of the tuberculosis complex. It remains a serious disease worldwide despite the efforts made to eradicate it. This study aims to evaluate the outcome of anti-tuberculosis treatment in patients treated at the Nabil Choucair Health Center. <bold>Methodology</bold>: This was a retrospective, descriptive and analytical study which took place between January 2023 and December 2024, covering a period of 2 years. The work covered all patients diagnosed with tuberculosis and who received their anti-tuberculosis treatment at the Nabil Choucair Health Center. <bold>Results</bold>: We collected 707 patients with a median age of 32 years (minimum: 9 months and maximum: 88 years). The sex ratio was 2.3. The age groups 15 - 25 years and 25 - 35 years were represented in our study with respectively 28.1% and 27.9% of the study population. Pulmonary site of tuberculosis was the most encountered in our cohort (85.3%), followed by pleural (4.7%), lymph node (3.7%) and vertebral (3.4%). Regarding the therapeutic regimen, 96.5% of patients received a 6-month treatment according to the 2RHZE/4RH regimen, while 3.5% received a 12-month treatment according to the 2RHZE/10RH regimen. The treatment results of the patients in our study were marked by a therapeutic success (completed + cured) which was around 84.3%, including 72.3% cured and 12.4% completed. Those lost to follow-up and those deceased represented 9.9% and 3.8% of cases respectively. Statistical analysis revealed a significant association between treatment outcome and the form, site of tuberculosis and HIV status (p &lt; 0.05). <bold>Conclusion</bold>: The monitoring of patients undergoing anti-tuberculosis treatment is satisfactory at the Nabil Choucair health center. Nevertheless, efforts are needed to reduce the number of deaths and treatment failures.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Anti-Tuberculosis Treatment</kwd>
        <kwd>Report on</kwd>
        <kwd>Nabil Choucair Health Center</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Tuberculosis is a contagious infectious disease caused by a mycobacterium of the tuberculosis complex [<xref ref-type="bibr" rid="B1">1</xref>]. It remains a serious global problem today, despite the efforts implemented to eradicate it. According to the World Health Organization (WHO), by 2023, there will be more than 10 million cases and nearly one million deaths worldwide. In the same year, it caused 1.3 million deaths, or one person every 20 seconds, and remains the leading cause of death from a single infectious agent in Africa with 2.5 million new cases and 404,000 deaths [<xref ref-type="bibr" rid="B2">2</xref>]. In addition to HIV co-infection, the resistance of <italic>Mycobacterium tuberculosis</italic> complex to standard treatments is also an obstacle to reducing tuberculosis mortality [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B4">4</xref>]. In Senegal, figures for 2024 reveal an incidence of 110 cases per 100,000 inhabitants, or approximately 20,000 expected cases [<xref ref-type="bibr" rid="B2">2</xref>]. In order to combat this disease, Senegal established a national tuberculosis control program (PNT) in 1985. This program provides free diagnosis and treatment for tuberculosis patients. In addition, as part of the “END TB” strategy, the country has set itself the goal of achieving a treatment success rate of close to 90% by 2030, in line with WHO recommendations [<xref ref-type="bibr" rid="B5">5</xref>]. This ambition emphasizes the importance of regular evaluation of therapeutic results in treatment centers (CDT) in order to identify obstacles and optimize patient care. It is in this logic that this study is part of, which aims to evaluate the outcome of anti-tuberculosis treatment in patients followed at the Nabil Choucair Health Center.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methodology</title>
      <p>This was a retrospective and descriptive study that took place between January 2023 and December 2024, over a period of two years. The work focused on all patients diagnosed with tuberculosis, who received their anti-tuberculosis treatment at the Nabil Choucair Health Center. Data were collected using a survey form developed specifically for the study. Data were collected from the records of patients who had completed their anti-tuberculosis treatment, supplemented by information recorded in the follow-up register to compensate for any omissions. The variables studied included sociodemographic characteristics (age, sex, address, occupation), clinical data (form and location of tuberculosis, type of patient), bacteriological and paraclinical parameters (results of BAAR and GeneXpert test), associated comorbidities (HIV status, presence of diabetes, treatment with cotrimoxazole and antiretrovirals), as well as therapeutic data, including the antituberculosis regimen received and the outcome of treatment. Data were entered into Excel 2010 and analyzed using SPSS version 23.0 software and presented in tables and figures. Results were expressed as percentages and numbers. Chi-square or Fischer exact test was used for comparison of proportions with a significance level of 5%.</p>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Descriptive Study</title>
        <p>From January 2023 to December 2024, we enrolled 707 patients with a median age of 32 years (minimum: 9 months and maximum: 88 years). The sex ratio was 2.3. Pulmonary tuberculosis was the most common, accounting for 85.1% (<bold>Table 1</bold>).</p>
        <p><bold>Table 1.</bold> Baseline characteristics of the study population.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Parameters</bold>
                </td>
                <td>
                  <bold>Modalities</bold>
                </td>
                <td>
                  <bold>Numbers (Percentages) N (%)</bold>
                </td>
              </tr>
              <tr>
                <td>Inclusion</td>
                <td colspan="2">N = 707</td>
              </tr>
              <tr>
                <td>Median Age</td>
                <td colspan="2">32 ans (18) (max: 9 mois min: 88 ans)</td>
              </tr>
              <tr>
                <td rowspan="3">Sex</td>
                <td>Male</td>
                <td>495 (70)</td>
              </tr>
              <tr>
                <td>Female</td>
                <td>212 (30)</td>
              </tr>
              <tr>
                <td>Sex-ratio</td>
                <td>2.3</td>
              </tr>
              <tr>
                <td rowspan="3">Form of Tuberculosis</td>
                <td>Pulmonary</td>
                <td>602 (85.1)</td>
              </tr>
              <tr>
                <td>Extrapulmonary</td>
                <td>99 (14)</td>
              </tr>
              <tr>
                <td>Pulmonary + Extrapulmonary</td>
                <td>6 (0.9)</td>
              </tr>
              <tr>
                <td rowspan="5">Patient Type</td>
                <td>New case</td>
                <td>591 (83.5)</td>
              </tr>
              <tr>
                <td>Relapse</td>
                <td>63 (8.9)</td>
              </tr>
              <tr>
                <td>Resumption</td>
                <td>21(3)</td>
              </tr>
              <tr>
                <td>Transfer In</td>
                <td>20 (2.8)</td>
              </tr>
              <tr>
                <td>Failure</td>
                <td>13 (1.8)</td>
              </tr>
              <tr>
                <td rowspan="3">TB Confirmed</td>
                <td>Yes</td>
                <td>595 (84.2)</td>
              </tr>
              <tr>
                <td>No</td>
                <td>1 (0.1)</td>
              </tr>
              <tr>
                <td>Unspecified</td>
                <td>111 (15.7)</td>
              </tr>
              <tr>
                <td rowspan="2">Therapeutic Regimen</td>
                <td>2 RHZE/4 RH</td>
                <td>682 (96.5)</td>
              </tr>
              <tr>
                <td>2 RHZE/10 RH</td>
                <td>25 (3.5)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Age Group</title>
        <p>The 15 - 25 and 25 - 35 age groups were represented in our study, with 28.1% and 27.9% of the study population, respectively (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2260726-rId13.jpeg?20251211114125" />
        </fig>
        <p><bold>Figure 1</bold><bold>.</bold> Distribution of patients according to age group.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Occupation</title>
        <p>In our study, manual workers (41.9%) were the most common occupations (<bold>Table 2</bold>).</p>
        <p><bold>Table 2.</bold> Distribution of patients by occupational category.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Category</bold>
                </td>
                <td>
                  <bold>Number (N)</bold>
                </td>
                <td>
                  <bold>Frequency (%)</bold>
                </td>
              </tr>
              <tr>
                <td>Student</td>
                <td>118</td>
                <td>16.7</td>
              </tr>
              <tr>
                <td>Manual Worker</td>
                <td>296</td>
                <td>41.9</td>
              </tr>
              <tr>
                <td>Unemployed/Retired</td>
                <td>135</td>
                <td>19.1</td>
              </tr>
              <tr>
                <td>Merchant/Entrepreneur</td>
                <td>82</td>
                <td>11.6</td>
              </tr>
              <tr>
                <td>Administrative Staff</td>
                <td>50</td>
                <td>7.1</td>
              </tr>
              <tr>
                <td>Teacher</td>
                <td>13</td>
                <td>1.8</td>
              </tr>
              <tr>
                <td>Health Professional</td>
                <td>6</td>
                <td>0.8</td>
              </tr>
              <tr>
                <td>Not Specified/Other</td>
                <td>7</td>
                <td>1</td>
              </tr>
              <tr>
                <td>
                  <bold>Total</bold>
                </td>
                <td>
                  <bold>707</bold>
                </td>
                <td>
                  <bold>100</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Residence</title>
        <p>The majority of our patients receiving antituberculosis medication came from Grand Yoff and Patte d’Oie, with a frequency of 63.1% and 30.3% (<bold>Table 3</bold>).</p>
        <p><bold>Table 3.</bold> Distribution of patients by residence.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Residence</bold>
                </td>
                <td>
                  <bold>Number (N)</bold>
                </td>
                <td>
                  <bold>Frequency (%)</bold>
                </td>
              </tr>
              <tr>
                <td>Grand Yoff</td>
                <td>446</td>
                <td>63.1</td>
              </tr>
              <tr>
                <td>Patte d’Oie</td>
                <td>214</td>
                <td>30.3</td>
              </tr>
              <tr>
                <td>HLM</td>
                <td>18</td>
                <td>2.5</td>
              </tr>
              <tr>
                <td>Parcelles Assainnies</td>
                <td>13</td>
                <td>1.8</td>
              </tr>
              <tr>
                <td>Grand Dakar</td>
                <td>11</td>
                <td>1.6</td>
              </tr>
              <tr>
                <td>Sicap Liberté</td>
                <td>2</td>
                <td>0.3</td>
              </tr>
              <tr>
                <td>Cambéréne</td>
                <td>1</td>
                <td>0.1</td>
              </tr>
              <tr>
                <td>Guediawaye</td>
                <td>1</td>
                <td>0.1</td>
              </tr>
              <tr>
                <td>Yeumbeul</td>
                <td>1</td>
                <td>0.1</td>
              </tr>
              <tr>
                <td>
                  <bold>Total</bold>
                </td>
                <td>
                  <bold>707</bold>
                </td>
                <td>
                  <bold>100</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. TB Site</title>
        <p>Pulmonary site was the most frequently observed in our cohort, accounting for 85.3% (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/2260726-rId14.jpeg?20251211114126" />
        </fig>
        <p><bold>Figure 2</bold><bold>.</bold> Distribution of patients according to the location of tuberculosis.</p>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Positive Tests for Confirmation</title>
        <p>The Genexpert was the most used test to confirm tuberculosis with an estimated frequency of 78.4%, followed by BAAR sputum (6.2%) and X-ray (6.8%) (<bold>Table 4</bold>).</p>
        <p><bold>Table 4.</bold> Distribution of patients according to the positive test used for confirmation.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td>Test</td>
                <td>Number (N)</td>
                <td>Frequency (%)</td>
              </tr>
              <tr>
                <td>Genexpert</td>
                <td>554</td>
                <td>78.4</td>
              </tr>
              <tr>
                <td>Unspecified</td>
                <td>60</td>
                <td>8.5</td>
              </tr>
              <tr>
                <td>X-ray</td>
                <td>48</td>
                <td>6.8</td>
              </tr>
              <tr>
                <td>BAAR</td>
                <td>44</td>
                <td>6.2</td>
              </tr>
              <tr>
                <td>Culture</td>
                <td>1</td>
                <td>0.1</td>
              </tr>
              <tr>
                <td>
                  <bold>Total</bold>
                </td>
                <td>
                  <bold>707</bold>
                </td>
                <td>
                  <bold>100</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot7">
        <title>3.7. Control Results at M2, M5, and M6</title>
        <p>673 patients underwent the control at M2, of which 649 (96.4%) were negative and 24 (3.6%) were positive. At M5, 629 patients were tested, with 621 negative and 8 positive, and at M6, 607 patients with 602 negative and 5 positive (<bold>Table 5</bold>).</p>
        <p><bold>Table 5.</bold> Distribution of patients according to control results at M2, M5, and M6.</p>
        <table-wrap id="tbl5">
          <label>Table 5</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">Results</td>
                <td colspan="2">M2</td>
                <td colspan="2">M5</td>
                <td colspan="2">M6</td>
              </tr>
              <tr>
                <td>Number (N)</td>
                <td>Frequency (%)</td>
                <td>Number (N)</td>
                <td>Frequency (%)</td>
                <td>Number (N)</td>
                <td>Frequency (%)</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>649</td>
                <td>96.4</td>
                <td>621</td>
                <td>98.7</td>
                <td>602</td>
                <td>99.2</td>
              </tr>
              <tr>
                <td>Positive</td>
                <td>24</td>
                <td>3.6</td>
                <td>8</td>
                <td>1.3</td>
                <td>5</td>
                <td>0.8</td>
              </tr>
              <tr>
                <td>
                  <bold>Total</bold>
                </td>
                <td>
                  <bold>673</bold>
                </td>
                <td>
                  <bold>100</bold>
                </td>
                <td>
                  <bold>629</bold>
                </td>
                <td>
                  <bold>100</bold>
                </td>
                <td>
                  <bold>607</bold>
                </td>
                <td>
                  <bold>100</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot8">
        <title>3.8. TB/HIV and TB/Diabetes Activity</title>
        <p>In our cohort, 3.1% were HIV-positive versus 96.5% negative, 5.9% had diabetes, 2.7% were on ARV treatment, and 97.3% were receiving cotrimoxazole (<bold>Table 6</bold>).</p>
        <p><bold>Table 6.</bold> Distribution of patients according to TB/HIV and TB/Diabetes activity.</p>
        <table-wrap id="tbl6">
          <label>Table 6</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2">TB/HIV and TB/Diabetes</td>
                <td>
                  <bold>Number Frequency N (%)</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="3">VIH Status</td>
                <td>Positive</td>
                <td>22 (3.1)</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>682 (96.5)</td>
              </tr>
              <tr>
                <td>Unspecified</td>
                <td>3 (0.4)</td>
              </tr>
              <tr>
                <td rowspan="2">Diabetes</td>
                <td>No</td>
                <td>655 (94.1)</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>42 (5.9)</td>
              </tr>
              <tr>
                <td rowspan="2">TARV Treatment</td>
                <td>No</td>
                <td>688 (97.3)</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>19 (2.7)</td>
              </tr>
              <tr>
                <td rowspan="2">Cotrimoxazole</td>
                <td>No</td>
                <td>688 (97.3)</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>19 (2.7)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot9">
        <title>3.9. Treatment Outcome</title>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/2260726-rId15.jpeg?20251211114127" />
        </fig>
        <p><bold>Figure 3</bold>. Distribution of patients according to treatment outcome.</p>
        <p>The treatment outcome of patients in our study population was marked by a therapeutic success rate (completed + cured) of around 84.3%, including 72.3% cured and 12.4% completed treatment (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p>
      </sec>
      <sec id="sec3dot10">
        <title>3.10. Analytical Study</title>
        <p><bold>HIV Status on Treatment Outcome</bold></p>
        <p>We noted a significant association between treatment outcome and HIV status (p &lt; 0.05), with a predominance of cures among HIV-negative patients (<bold>Table 7</bold>).</p>
        <p><bold>Table 7.</bold>Association between treatment outcome and HIV Status.</p>
        <table-wrap id="tbl7">
          <label>Table 7</label>
          <table>
            <tbody>
              <tr>
                <td>VIH Status</td>
                <td>Death N (%)</td>
                <td>Failure N (%)</td>
                <td>Cured N (%)</td>
                <td>Lost to Follow-up N (%)</td>
                <td>Completed treatment N (%)</td>
                <td>Transfer out N (%)</td>
                <td>Total N (%)</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>23 (3.4)</td>
                <td>9 (1.3)</td>
                <td>495 (72.6)</td>
                <td>70 (10.3)</td>
                <td>83 (12.2)</td>
                <td>2 (0.3)</td>
                <td>682 (100)</td>
              </tr>
              <tr>
                <td>Unspecified</td>
                <td>2 (66.7)</td>
                <td>0 (0)</td>
                <td>1 (33.3)</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>3 (100)</td>
              </tr>
              <tr>
                <td>Positive</td>
                <td>2 (66.7)</td>
                <td>0 (0)</td>
                <td>15 (68.2)</td>
                <td>0 (0)</td>
                <td>5 (22.7)</td>
                <td>0 (0)</td>
                <td>22 (100)</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>27 (3.8)</td>
                <td>9 (1.3)</td>
                <td>511 (72.3)</td>
                <td>70 (9.9)</td>
                <td>88 (12.4)</td>
                <td>2 (0.3)</td>
                <td>707 (100)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Type of Tuberculosis and Treatment Outcome</bold></p>
        <p>Statistical analysis also showed a significant association between treatment outcome and type of tuberculosis (p &lt; 0.05): cure was predominant in cases of pulmonary tuberculosis (83.4%) (<bold>Table 8</bold>).</p>
        <p><bold>Table 8.</bold> Association between type of TB and treatment outcome.</p>
        <table-wrap id="tbl8">
          <label>Table 8</label>
          <table>
            <tbody>
              <tr>
                <td>Type of TB</td>
                <td>Death (%)</td>
                <td>Failure N (%)</td>
                <td>Cured N (%)</td>
                <td>Lost to Follow-up N (%)</td>
                <td>Completed treatment N (%)</td>
                <td>Transfer Out N (%)</td>
                <td>Total N (%)</td>
              </tr>
              <tr>
                <td>Extrapulmonary</td>
                <td>2 (2)</td>
                <td>0 (0)</td>
                <td>7 (7.1)</td>
                <td>13 (13.1)</td>
                <td>77 (77.8)</td>
                <td>0 (0)</td>
                <td>99 (100)</td>
              </tr>
              <tr>
                <td>Pulmonary</td>
                <td>25 (4.2)</td>
                <td>9 (1.5)</td>
                <td>502 (83.4)</td>
                <td>57 (9.5)</td>
                <td>7 (1.2)</td>
                <td>2 (0.3)</td>
                <td>602 (100)</td>
              </tr>
              <tr>
                <td>Pulmonary + Extrapulmonary</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>2 (33.3)</td>
                <td>0 (0)</td>
                <td>4 (66.7)</td>
                <td>0 (0)</td>
                <td>6 (100)</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>27 (3.8)</td>
                <td>9 (1.3)</td>
                <td>511 (72.3)</td>
                <td>70 (9.9)</td>
                <td>88 (12.4)</td>
                <td>2 (0.3)</td>
                <td>707 (100)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Site on treatment outcome</bold></p>
        <p>Treatment outcome was significantly dependent on tuberculosis site (P &lt;0.05) (<bold>Table 9</bold>).</p>
        <p><bold>Table 9.</bold> Association between treatment outcome and tuberculosis Site.</p>
        <table-wrap id="tbl9">
          <label>Table 9</label>
          <table>
            <tbody>
              <tr>
                <td>Site</td>
                <td>Death N (%)</td>
                <td>failure N (%)</td>
                <td>Cured N (%)</td>
                <td>Lost to Follow-up N (%)</td>
                <td>Completed treatment N (%)</td>
                <td>Transfer out N (%)</td>
                <td>Total N (%)</td>
              </tr>
              <tr>
                <td>Others sites</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>1 (10)</td>
                <td>0 (0)</td>
                <td>9 (90)</td>
                <td>0 (0)</td>
                <td>10 (100)</td>
              </tr>
              <tr>
                <td>Lymph node</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>3 (11.5)</td>
                <td>2 (7.7)</td>
                <td>21 (80.8)</td>
                <td>0 (0)</td>
                <td>26 (100)</td>
              </tr>
              <tr>
                <td>Neuromeningeal</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>1 (50)</td>
                <td>0 (0)</td>
                <td>1 (50)</td>
                <td>0 (0)</td>
                <td>2 (100)</td>
              </tr>
              <tr>
                <td>Osteoarticular</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>1 (33.3)</td>
                <td>2 (66.7)</td>
                <td>0 (0)</td>
                <td>3 (100)</td>
              </tr>
              <tr>
                <td>Peritoneal</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>0 (0)</td>
                <td>1 (16.7)</td>
                <td>5 (83.3)</td>
                <td>0 (0)</td>
                <td>6 (100)</td>
              </tr>
              <tr>
                <td>Pleural</td>
                <td>1 (3)</td>
                <td>0 (0)</td>
                <td>2 (6.1)</td>
                <td>5 (15.2)</td>
                <td>25 (75.8)</td>
                <td>0 (0)</td>
                <td>33 (100)</td>
              </tr>
              <tr>
                <td>Pulmonary</td>
                <td>25 (4.1)</td>
                <td>9 (1.5)</td>
                <td>502 (83.3)</td>
                <td>57 (9.5)</td>
                <td>8 (1.3)</td>
                <td>2 (0.3)</td>
                <td>603 (100)</td>
              </tr>
              <tr>
                <td>Vertebrale</td>
                <td>1 (4.2)</td>
                <td>0 (0)</td>
                <td>2 (8.3)</td>
                <td>4 (16.7)</td>
                <td>17 (70.8)</td>
                <td>0 (0)</td>
                <td>24 (100)</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>27 (3.8)</td>
                <td>9 (1.3)</td>
                <td>511 (72.3)</td>
                <td>70 (9.9)</td>
                <td>88 (12.4)</td>
                <td>2 (0.3)</td>
                <td>707 (100)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>During our study period, 707 patients received anti-tuberculosis treatment at the Nabil Chouker Health Center. Males were more prevalent (70%), with a sex ratio of 2.3. These data were identical to those of the study carried out by Diallo in Mali where the male sex represented 66.7% of cases, corresponding to a sex ratio of 2 [<xref ref-type="bibr" rid="B6">6</xref>]. On the other hand, Bemba <italic>et al.</italic>, in Congo Brazzaville reported a female predominance (55%) [<xref ref-type="bibr" rid="B7">7</xref>]. These results could be explained by the risky behaviors adopted by men such as smoking and alcoholism [<xref ref-type="bibr" rid="B8">8</xref>]. The median age of the population was 32 years (minimum: 9 months and maximum: 88 years) and the 15 - 25 age group was the most represented with 28.1% of patients followed by that of 25 - 35 years with 27.9%. These are relatively young subjects. Our results were comparable to those of Mbatchou Ngahane <italic>et al.</italic>, the median age was 32 years and most of their patients were aged 21 to 40 years (49.3%) [<xref ref-type="bibr" rid="B9">9</xref>]. The predominance of these age groups in our study confirms that tuberculosis preferentially affects young adults, particularly in urban and high-density population settings [<xref ref-type="bibr" rid="B10">10</xref>]. Manual Workers were the most affected in our cohort (41.9%), followed by unemployed/retired individuals with 19.7% of cases. Students also had a significant proportion (16.1%). In his study carried out at the pulmonology department of the CHNU of Fann, Cissé found that workers represented 28.58%, traders 27.80% and students13.86% [<xref ref-type="bibr" rid="B11">11</xref>]. The predominance of manual workers among the cases recorded is probably explained by precarious living conditions, exposing work environments (confined, poorly ventilated spaces), as well as limited access to prevention and early diagnosis. The majority of our patients came from Grand Yoff and Pate d’Oie, with frequencies of 63.1% and 30.3% respectively. These localities are located within the structure’s direct area of influence. This highlights the importance of health sectorization in access to tuberculosis care. Pulmonary tuberculosis was the most common site in our cohort (85.3%), followed by pleural (4.7%), lymph node (3.7%) and vertebral (3.4%). The majority of these patients were new cases (83.5%). Our results are consistent with data already published in the literature [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. Tuberculosis was confirmed in the vast majority of cases, totaling 595 patients (84.2%). Regarding confirmatory tests, GeneXpert was the most used diagnostic tool, carried out in 554 patients (78.4%), followed by BAAR sputum (6.2%) and X-ray (6.8%). Chahboune Mouhamed in his study in Morocco had highlighted the use of bacteriology for confirmation in the majority of these patients (84.09%) [<xref ref-type="bibr" rid="B14">14</xref>]. The widespread use of the GenepXpert test reflects its position as a first-line diagnostic tool in cases of suspected pulmonary TB, recommended by the PNT for its high sensitivity and its ability to detect early resistance to rifampicin. 673 patients underwent the control at M2, of which 649 (96.4%) were negative and 24 (3.6%) were positive. At M5, 629 patients were tested with 621 negative and 8 positive, and at M6, 607 patients with 602 negative and 5 positive. A similar study carried out in Mali on a sample of 172 patients reported that the control rate was 79.7% at M2, 76.7% at M5 and 75% at M6. The number of positive patients decreased between the 2nd month and 6th month check-ups, going from 27 positive cases to 2 positive cases [<xref ref-type="bibr" rid="B15">15</xref>]. The evolution of the results of bacteriological control examinations shows an overall satisfactory therapeutic response in patients with pulmonary tuberculosis. During our study period, 3.1% were HIV positive versus 96.9% negative, 5.9% had diabetes. This proportion of comorbidity observed in our study is lower than that found in the work of Bitchong Ekono <italic>et al</italic><italic>.</italic> where HIV infection represented 29.2% of cases and diabetes (6.2%) [<xref ref-type="bibr" rid="B16">16</xref>]. Kombila <italic>et al</italic><italic>.</italic> also showed a high rate of HIV in their research,<italic>i.e.</italic> 30.4% of cases [<xref ref-type="bibr" rid="B17">17</xref>]. Regarding the therapeutic regimen, 96.5% of patients received a 6-month treatment according to the 2RHZE/4RH regimen, while 3.5% received a 12-month treatment according to the 2RHZE/10RH regimen. This distribution confirms compliance with current therapeutic protocols and illustrates an adaptation of the treatment according to the clinical forms presented by the patients. The treatment results of the patients in our study were marked by a therapeutic success (completed + cured) which was around 84.3%, including 72.3% cured and 12.4% competed treatment. Those lost to follow-up and those deceased patient represented 9.9% and 3.8% of cases respectively. Therapeutic failure was reported in 1.3% of cases. In general, the results obtained are in line with those published by other researchers [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>]. The therapeutic success rate noted is close to the 90% target set for 2030 in the “END TB” strategy. Our results are higher than those reported by Moges <italic>et al</italic><italic>.</italic> who found cases of loss to follow-up and death with respective frequencies of 5% and 0.6% [<xref ref-type="bibr" rid="B20">20</xref>]. Statistical analysis revealed a significant association between treatment outcome and the form, site of tuberculosis and HIV status (p &lt; 0.05). Cure predominated in patients with pulmonary tuberculosis and HIV negative, while extrapulmonary forms, depending on their site, more frequently resulted in simply “completed” treatment than in cure. Similarly, Cissé in his study also highlighted that the outcome of treatment had a statistically significant link with the location of tuberculosis and serological status for values of p = 0.000 [<xref ref-type="bibr" rid="B11">11</xref>]. </p>
      <p>This study has several limitations, notably its retrospective and single-center nature, as well as the presence of incomplete data and the absence of certain socio-economic or environmental variables. Additionally, the two-year follow-up period limits the assessment of relapses and long-term effects.</p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>Tuberculosis remains today an infectious disease of global concern, the persistence of which reflects both the fragility of health systems and structural social inequalities. Although major advances have been made in diagnosis and treatment, it continues to represent a health emergency, particularly in low- and middle-income countries. At the Nabil Choucair Health Center, the monitoring of patients undergoing anti-tuberculosis treatment is satisfactory. However, efforts must be made to reduce the number of deaths and treatment failures.</p>
    </sec>
  </body>
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