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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojped</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Pediatrics</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2160-8776</issn>
      <issn pub-type="ppub">2160-8741</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojped.2026.163043</article-id>
      <article-id pub-id-type="publisher-id">ojped-150922</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>Factors Associated with In-Hospital Mortality among Preterm Newborns in Kisangani (Democratic Republic of Congo): A Multicenter Analytical Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0004-2717-3718</contrib-id>
          <name name-style="western">
            <surname>Kalala</surname>
            <given-names>Jean Hubert Tshishimbi</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mudipanu</surname>
            <given-names>Scapin Kabongo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Mpemba</surname>
            <given-names>Alphonse Lufuluabu</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kampunzu</surname>
            <given-names>Véronique Muyobela</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bukaka</surname>
            <given-names>Gaspard Mande</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Sadiki</surname>
            <given-names>Dadi Falay</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Kasai</surname>
            <given-names>Emmanuel Tebandite</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Opara</surname>
            <given-names>Jean Pierre Alworong’a</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Department of Pediatrics, Faculty of Medicine, University of Kisangani, Kisangani, DRC </aff>
      <aff id="aff2"><label>2</label> Department of Pediatrics, Faculty of Medicine, University of Mbuji Mayi, Mbuji Mayi DRC </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>06</day>
        <month>05</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>05</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>03</issue>
      <fpage>431</fpage>
      <lpage>437</lpage>
      <history>
        <date date-type="received">
          <day>16</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>21</day>
          <month>04</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>24</day>
          <month>04</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</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/ojped.2026.163043">https://doi.org/10.4236/ojped.2026.163043</self-uri>
      <abstract>
        <p><bold>Background:</bold>Prematurity remains a major contributor to neonatal mortality worldwide, particularly in resource-limited settings. This study aimed to identify factors associated with in-hospital mortality among preterm newborns in Kisangani. <bold>Methods:</bold>A multicenter prospective analytical study was conducted in four hospitals in Kisangani from March 2025 to February 2026. All eligible preterm newborns (&lt;37 weeks of gestation) were consecutively included. Data were prospectively collected using standardized forms based on medical records and clinical examination. The primary outcome was in-hospital mortality. Associations were assessed using chi-square or Fisher’s exact tests, followed by multivariate logistic regression. <bold>Results:</bold>Among 482 admitted neonates, 120 were preterm (24.9%). The in-hospital mortality rate was 33.3% (n = 40). Independent factors associated with mortality included absence of antenatal care (aOR 22.0; 95% CI 4.28 - 144; p &lt; 0.001), intrauterine growth restriction (aOR 6.71; 95% CI 2.78 - 18.2; p &lt; 0.001), respiratory distress (aOR 22.1; 95% CI 6.18 - 142; p &lt; 0.001), anemia (aOR 27.1; 95% CI 7.56 - 174; p &lt; 0.001), apnea (aOR 25.3; 95% CI 8.86 - 92.3; p &lt; 0.001), and hypothermia (aOR 5.73; 95% CI 2.19 - 18.0; p &lt; 0.001). <bold>Conclusion:</bold>Preterm mortality remains unacceptably high in Kisangani. Strengthening antenatal care coverage and improving neonatal care quality are essential to reduce mortality.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Prematurity</kwd>
        <kwd>Neonatal Mortality</kwd>
        <kwd>Risk Factors</kwd>
        <kwd>Kisangani</kwd>
        <kwd>DR Congo</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Prematurity is defined as birth occurring before 37 weeks of gestation. According to the World Health Organization, approximately 15 million babies are born prematurely each year worldwide, representing nearly 11% of all live births [<xref ref-type="bibr" rid="B1">1</xref>].</p>
      <p>Prematurity is currently the leading cause of neonatal mortality and one of the major causes of death among children under five years of age [<xref ref-type="bibr" rid="B2">2</xref>]-[<xref ref-type="bibr" rid="B4">4</xref>]. Complications related to prematurity account for nearly one million deaths annually.</p>
      <p>The incidence of prematurity varies considerably between countries. In the United States, the prevalence is estimated at about 10.5%, whereas in France it is approximately 6.6% [<xref ref-type="bibr" rid="B5">5</xref>].</p>
      <p>In sub-Saharan Africa, several studies have reported high rates of prematurity, including 21.4% in N’Djamena (Chad) and 9.9% in Oran (Algeria) [<xref ref-type="bibr" rid="B6">6</xref>][<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>In low- and middle-income countries, limited access to neonatal intensive care, insufficient medical equipment, and a shortage of trained health professionals contribute significantly to neonatal mortality [<xref ref-type="bibr" rid="B8">8</xref>][<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <p>In the Democratic Republic of Congo, prematurity represents a substantial proportion of neonatal deaths. However, data on the determinants of mortality among preterm newborns remain limited [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B11">11</xref>].</p>
      <p>The aim of this study was to identify factors associated with mortality among preterm newborns hospitalized in several health facilities in Kisangani.</p>
    </sec>
    <sec id="sec2">
      <title>2. Materials and Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Study Design and Setting</title>
        <p>This was a multicenter prospective analytical study conducted in four hospitals in Kisangani:</p>
        <p>University Clinics of Kisangani.Cinquantenaire Hospital.Kabondo General Referral Hospital.Rekapi Polyclinic.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Study Population</title>
        <p>All preterm newborns admitted during the study period were eligible.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Inclusion and Exclusion Criteria</title>
        <p>Inclusion criteria:</p>
        <p>Gestational age &lt;37 weeks.Admission to participating hospitals.</p>
        <p>Exclusion criteria:</p>
        <p>Major congenital anomalies incompatible with life.Refusal of parental consent.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Data Collection</title>
        <p>Data were prospectively collected using standardized forms based on medical records and clinical examination. Maternal, obstetric, clinical, and laboratory variables were recorded.</p>
      </sec>
      <sec id="sec2dot5">
        <title>2.5. Definitions of Variables</title>
        <p>Intrauterine growth restriction (IUGR): birth weight &lt;10th percentile.Anemia: hemoglobin &lt;14 g/dL at admission.Hypothermia: axillary temperature &lt;36.5˚C at admission.Respiratory distress: ≥2 signs (tachypnea, retractions, nasal flaring, grunting).Apnea: breathing pause ≥20 seconds or associated with cyanosis.</p>
        <p>All variables were assessed at admission.</p>
      </sec>
      <sec id="sec2dot6">
        <title>2.6. Outcome Definition</title>
        <p>The primary outcome was in-hospital mortality, defined as death occurring during hospitalization.</p>
      </sec>
      <sec id="sec2dot7">
        <title>2.7. Statistical Analysis</title>
        <p>Data were analyzed using R software.</p>
        <p>Qualitative variables: frequencies and percentages.Bivariate analysis: chi-square or Fisher’s exact test.Multivariate analysis: logistic regression.</p>
        <p>Missing data were handled using complete-case analysis (&lt;10%).</p>
      </sec>
      <sec id="sec2dot8">
        <title>2.8. Ethical Considerations</title>
        <p>Ethical approval was obtained. Written informed consent was obtained from parents.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Flow of Participants</title>
        <p><xref ref-type="fig" rid="fig1">Figure 1</xref> shows the flow of participants included in the study.</p>
        <p>Among 482 neonates admitted, 120 were preterm (24.9%).</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/1331881-rId17.jpeg?20260424020434" />
        </fig>
        <p><bold>Figure 1</bold><bold>.</bold> Flow diagram of study population selection.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Baseline Characteristics</title>
        <p>The baseline maternal and neonatal characteristics of the study population.</p>
        <p>Most mothers were aged 18 - 35 years (64.2%), married (68.3%), and had inadequate antenatal care (&lt;3 visits in 69.2%).</p>
        <p>Among preterm newborns, 67.5% were male, 42.5% had a gestational age of 34–36 weeks, 57.5% had a birth weight of 1000–1500 g, and 55% had intrauterine growth restriction.</p>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Neonatal Complications</title>
        <p>Hypothermia: 65.8%.Respiratory distress: 62.5%.Anemia: 59.2%.Jaundice: 10%.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Outcome</title>
        <p>A total of 40 deaths and 80 survivors were recorded. The in-hospital mortality rate was 33.3%.</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Bivariate Analysis</title>
        <p>Mortality was significantly associated with:</p>
        <p>Absence of antenatal care.Intrauterine growth restriction.Hypothermia.Respiratory distress.Anemia.</p>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Multivariate Analysis (Table 1)</title>
        <p><bold>Table 1</bold><bold>.</bold> Presents the results of the multivariate logistic regression analysis of factors associated with in-hospital mortality.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Factor</bold>
                </td>
                <td>
                  <bold>Adjusted OR</bold>
                </td>
                <td>
                  <bold>95% CI</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td>Absence of antenatal care</td>
                <td>22.0</td>
                <td>4.28 - 144</td>
                <td>&lt;0.001</td>
              </tr>
              <tr>
                <td>Intrauterine growth restriction</td>
                <td>6.71</td>
                <td>2.78 - 18.2</td>
                <td>&lt;0.001</td>
              </tr>
              <tr>
                <td>Respiratory distress</td>
                <td>22.1</td>
                <td>6.18 - 142</td>
                <td>&lt;0.001</td>
              </tr>
              <tr>
                <td>Anemia</td>
                <td>27.1</td>
                <td>7.56 - 174</td>
                <td>&lt;0.001</td>
              </tr>
              <tr>
                <td>Apnea</td>
                <td>25.3</td>
                <td>8.86 - 92.3</td>
                <td>&lt;0.001</td>
              </tr>
              <tr>
                <td>Hypothermia</td>
                <td>5.73</td>
                <td>2.19 - 18.0</td>
                <td>&lt;0.001</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>All variables remained significantly associated with mortality (p &lt; 0.001). Abbreviations: OR: Odds Ratio; CI: Confidence Interval.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>This study highlights a high in-hospital mortality rate among preterm neonates in Kisangani (33.3%), underscoring the persistent burden of prematurity in low-resource settings. Similar mortality rates ranging from 25% to 40% have been reported in sub-Saharan Africa [<xref ref-type="bibr" rid="B6">6</xref>][<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>The absence of antenatal care was strongly associated with mortality, which is consistent with findings from low- and middle-income countries where inadequate prenatal follow-up contributes significantly to adverse neonatal outcomes [<xref ref-type="bibr" rid="B8">8</xref>][<xref ref-type="bibr" rid="B12">12</xref>].</p>
      <p>Apnea and respiratory immaturity are well-recognized complications of prematurity and major contributors to neonatal mortality [<xref ref-type="bibr" rid="B13">13</xref>][<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B15">15</xref>].</p>
      <p>Neonatal complications such as respiratory distress, apnea, anemia, and hypothermia were major contributors to mortality. These findings are consistent with previous studies highlighting the critical role of respiratory immaturity and thermal instability in preterm deaths [<xref ref-type="bibr" rid="B11">11</xref>][<xref ref-type="bibr" rid="B16">16</xref>].</p>
      <p>In contrast, significantly lower mortality rates—generally below 10%—are reported in high-income countries, largely due to advanced neonatal care, including mechanical ventilation, surfactant therapy, and well-established perinatal systems [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B17">17</xref>].</p>
      <p>Our findings are also consistent with studies conducted in the Democratic Republic of Congo and other African settings, which emphasize the role of limited healthcare resources and inadequate neonatal care infrastructure [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>][<xref ref-type="bibr" rid="B17">17</xref>].</p>
      <p>Global estimates further confirm the substantial burden of prematurity and neonatal mortality worldwide [<xref ref-type="bibr" rid="B4">4</xref>][<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B18">18</xref>].</p>
      <p>Studies from Ethiopia and Tanzania report comparable mortality rates, reflecting similar constraints in neonatal care capacity [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B20">20</xref>].</p>
      <p>Overall, preterm mortality in Kisangani appears to be driven by both biological vulnerability and systemic healthcare limitations, consistent with findings reported in other African contexts [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B11">11</xref>][<xref ref-type="bibr" rid="B18">18</xref>].</p>
    </sec>
    <sec id="sec5">
      <title>5. Strengths</title>
      <p>Multicenter design.Prospective data collection.Robust statistical analysis.</p>
    </sec>
    <sec id="sec6">
      <title>6. Limitations</title>
      <p>This hospital-based study may be subject to selection and referral bias. Residual confounding cannot be excluded. Follow-up was limited to hospitalization.</p>
    </sec>
    <sec id="sec7">
      <title>7. Conclusion</title>
      <p>Preterm mortality remains high in Kisangani and is associated with both maternal factors and neonatal complications. Strengthening antenatal care and improving neonatal care quality are critical priorities.</p>
    </sec>
    <sec id="sec8">
      <title>Funding</title>
      <p>None.</p>
    </sec>
    <sec id="sec9">
      <title>Authors’ Contributions</title>
      <p>Jean Hubert Tshishimbi Kalala contributed to the study design and clinical assessment of preterm newborns. Data collection was performed by Jean Hubert Tshishimbi Kalala, Scapin Kabongo Mudipanu, and Véronique Muyobela Kampunzu. Data analysis was conducted by Alphonse Lufuluabu Mpemba. Manuscript revision was performed by Gaspard Mande Bukaka, Dadi Falay Sadiki, Emmanuel Tebandite Kasai, and Jean Pierre Alworong’a Opara. All authors read and approved the final version.</p>
    </sec>
  </body>
  <back>
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          <mixed-citation publication-type="other">Mmbaga, B.T., Lie, R.T., Olomi, R., Mahande, M.J., Kvåle, G., Daltveit, A.K. (2012) Cause-Specific Neonatal Mortality in a Neonatal Care Unit in Northern Tanzania: A Registry-Based cohort Study. <italic>BMC Pediatr</italic><italic>ics</italic>, 12, Article No. 116. https://doi.org/10.1186/1471-2431-12-116 <pub-id pub-id-type="doi">10.1186/1471-2431-12-116</pub-id><pub-id pub-id-type="pmid">22871208</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1186/1471-2431-12-116">https://doi.org/10.1186/1471-2431-12-116</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Mmbaga, B.T.</string-name>
              <string-name>Lie, R.T.</string-name>
              <string-name>Olomi, R.</string-name>
              <string-name>Mahande, M.J.</string-name>
              <string-name>Daltveit, A.K.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Cause-Specific Neonatal Mortality in a Neonatal Care Unit in Northern Tanzania: A Registry-Based cohort Study</article-title>
            <source>BMC Pediatrics</source>
            <volume>12</volume>
            <elocation-id>No</elocation-id>
            <pub-id pub-id-type="doi">10.1186/1471-2431-12-116</pub-id>
            <pub-id pub-id-type="pmid">22871208</pub-id>
          </element-citation>
        </citation-alternatives>
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  </back>
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