<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    ojped
   </journal-id>
   <journal-title-group>
    <journal-title>
     Open Journal of Pediatrics
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2160-8741
   </issn>
   <issn publication-format="print">
    2160-8776
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/ojped.2025.153040
   </article-id>
   <article-id pub-id-type="publisher-id">
    ojped-143068
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Clinical and Biological Profile of Early Bacterial Neonatal Infections in Kisangani
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Hortense Malikidogo
      </surname>
      <given-names>
       Vanzwa
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Didier Gbebangi
      </surname>
      <given-names>
       Manzemu
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Véronique Muyobela
      </surname>
      <given-names>
       Kampunzu
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Bibi Batoko
      </surname>
      <given-names>
       Likele
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Gaspard Mande
      </surname>
      <given-names>
       Bukaka
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Benoit Mbiya
      </surname>
      <given-names>
       Mukinayi
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Dadi Falay
      </surname>
      <given-names>
       Sadiki
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Emmanuel Tebandite
      </surname>
      <given-names>
       Kasaï
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Jean Pierre Alworong’a
      </surname>
      <given-names>
       Opara
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Paediatrics, Faculty of Medicine and Pharmacy, University of Kisangani, Kisangani, Democratic Republic of the Congo
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aDepartment of Paediatrics, Faculty of Medicine, University of Mbuji-Mayi, Mbuji-Mayi, Democratic Republic of the Congo
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     21
    </day> 
    <month>
     04
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    15
   </volume> 
   <issue>
    03
   </issue>
   <fpage>
    425
   </fpage>
   <lpage>
    434
   </lpage>
   <history>
    <date date-type="received">
     <day>
      28,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      28,
     </day>
     <month>
      March
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      28,
     </day>
     <month>
      May
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    <b>Introduction: </b>Infections are a preventable cause of neonatal morbidity and mortality, but clinicians are still concerned about their diagnosis and management. The aim of this study is to describe the clinical and biological profile and clinical outcome of early bacterial neonatal infections in hospitals in Kisangani. 
    <b>Meth</b>
    <b>ods: </b>This was a multicentre, cross-sectional descriptive study carried out between 28 June 2023 and 15 July 2024. All symptomatic and asymptomatic newborns presenting at least one antenatal infectious risk according to ANAES were included. Data was analysed using R software version 4.4.2. The Chi
    <sup>2</sup> exact test and the Ficher exact test were used with a positivity threshold of 5%. 
    <b>Results: </b>Of the 871 newborns admitted 190 were selected for INBP, i.e., a frequency of 21.8%. 123 blood cultures were taken with 5 positive cases, i.e., a frequency of confirmed early neonatal infection of 4.1%. The male-to-female sex ratio was 1.2. Meconium amniotic fluid and the duration of opening of the water sac ≥ 18 h were the most important risk factors; thermoregulatory disorders including fever and hypothermia (70.4%) followed by respiratory disorders (44.8%) were the most frequent clinical manifestations. The median PCT was higher in deceased neonates above the threshold of 50 ng/ml than in neonates with improved clinical status, with a significant difference p &lt; 0.0001. Progression was favourable in most cases and the death rate was 4%. 
    <b>Conclusion: </b>The incidence of INBP remains high in Kisangani, requiring early diagnosis. Fever and respiratory problems are the most common symptoms, and most newborns have a favourable outcome.
   </abstract>
   <kwd-group> 
    <kwd>
     Early Neonatal Bacterial Infection
    </kwd> 
    <kwd>
      Clinical
    </kwd> 
    <kwd>
      Biological
    </kwd> 
    <kwd>
      Kisangani
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Neonatal infection (NCI) remains a major public health problem due to its high mortality rate. Indeed, the World Health Organization (WHO) estimates that 2.8 million neonatal deaths occurred globally in 2015, 47.6% of which were due to NIN <xref ref-type="bibr" rid="scirp.143068-1">
     [1]
    </xref>. Half of these deaths occurred in sub-Saharan Africa (SSA) in 2019 <xref ref-type="bibr" rid="scirp.143068-2">
     [2]
    </xref>, while the early neonatal mortality rate is estimated at 28 per 1000 live births <xref ref-type="bibr" rid="scirp.143068-3">
     [3]
    </xref>. In the Democratic Republic of Congo (DRC), 15.6% of neonatal deaths are caused by neonatal septicaemia <xref ref-type="bibr" rid="scirp.143068-4">
     [4]
    </xref>. The incidence of neonatal infections, their characteristics, and their consequences depend on the time of onset and the context in which they occur, particularly at a gestational age <xref ref-type="bibr" rid="scirp.143068-5">
     [5]
    </xref>. The incidence of NIN has fallen significantly in industrialised countries but remains high in countries with limited resources. An incidence of 0.8 per 1000 births has been found in the United States and Europe <xref ref-type="bibr" rid="scirp.143068-6">
     [6]
    </xref>. Studies carried out in Africa have shown a frequency of 96.8% in Cameroon (1) and 6.2% in Morocco <xref ref-type="bibr" rid="scirp.143068-7">
     [7]
    </xref>. Early onset neonatal infection (EONI) refers to an infection occurring within the first 72 hours after birth <xref ref-type="bibr" rid="scirp.143068-6">
     [6]
    </xref> <xref ref-type="bibr" rid="scirp.143068-8">
     [8]
    </xref>. Neonatal infections are divided into 2 categories: early neonatal infection when signs occur within 72 hours of life and late neonatal infection when signs occur after the 3rd day of life <xref ref-type="bibr" rid="scirp.143068-9">
     [9]
    </xref>. EBNIs are the consequence of vertical bacterial transmission from mother to newborn <xref ref-type="bibr" rid="scirp.143068-5">
     [5]
    </xref>. Clinical manifestations are polymorphous and non-specific <xref ref-type="bibr" rid="scirp.143068-10">
     [10]
    </xref> in response to sepsis <xref ref-type="bibr" rid="scirp.143068-11">
     [11]
    </xref>. Because of the difficulty of diagnosis, especially during the first 72 hours after birth, and the fact that the symptoms of neonatal sepsis are non-specific, empirical antibiotic therapy can lead to the treatment of up to 30 uninfected newborns for just one who is probably diagnosed as infected <xref ref-type="bibr" rid="scirp.143068-12">
     [12]
    </xref>. Blood culture, which is the gold standard, is often not available and cannot produce immediate results <xref ref-type="bibr" rid="scirp.143068-13">
     [13]
    </xref>. Biomarkers are, therefore, becoming an alternative for the early identification of sick newborns <xref ref-type="bibr" rid="scirp.143068-5">
     [5]
    </xref>. An evidence-based approach combining anamnestic, clinical and biological data is a better strategy, especially in resource-limited countries <xref ref-type="bibr" rid="scirp.143068-14">
     [14]
    </xref>. The aim of this study was to determine the clinical and biological characteristics and outcomes of newborns suspected of having EONI in a hospital setting in Kisangani.</p>
  </sec><sec id="s2">
   <title>2. Material and Methods</title>
   <sec id="s2_1">
    <title>2.1. Framework and Type of Study</title>
    <p>We conducted a multi-centre descriptive cross-sectional study in six health care facilities (HCFs) caring for children and all belonging to the bacteraemia surveillance network during the period from 28 June 2023 to 15 July 2024 in the city of Kisangani, capital of the Tshopo Province in the north-eastern region of the DRC. Five of these SSEs are state-run (Department of Paediatrics at the University Clinics, Kabondo General Referral Hospital, Makiso-Kisangani General Referral Hospital, Cinquantenaire Hospital, ALABUL Health Centre) and only one, the Centre Hospitalier Nouveau Village de Pédiatrie, is private.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Study Population and Sampling</title>
    <p>To calculate our sample size, we used Epi info software version 7.2.5.0 with a theoretical frequency of early neonatal sepsis of 22.7% found by Mulinganya et al. in Bukavu, DRC <xref ref-type="bibr" rid="scirp.143068-4">
      [4]
     </xref>, a population size of 48,452 at the 5% significance level, and a minimum sample size of 295.</p>
    <p>Newborns with risk factors for BPN and clinical signs of infection according to the criteria of the Agence Nationale d’Accréditation et d’Evaluation en Santé (ANAES) <xref ref-type="bibr" rid="scirp.143068-15">
      [15]
     </xref> were included in the study.</p>
    <p>Antenatal risk factors for INBP</p>
    <p>1) Major criteria</p>
    <p>2) Minor criteria</p>
    <p>Clinical signs</p>
    <p>Malformed polyps, those who had previously received antibiotics prior to transfer to the selected EHSs and those whose parents had not consented to the study were excluded.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Conduct of the Study</title>
    <p>Using a pre-established form, we prospectively collected sociodemographic data on newborns (age and sex) and their mothers (age, town of residence, level of education, marital status, occupation, antenatal consultation follow-up, mode of delivery) as well as clinical data on newborns (Apgar at 5<sup>th</sup> minute, risk factors for infection, birth weight, head circumference, height, symptoms and management data). The newborns were examined by trained doctors who were able to make a diagnosis of suspected EONI. A 1 - 2 ml blood sample was taken using a clean vacutainer tube and sent to the laboratory for PCT and blood culture.</p>
   </sec>
   <sec id="s2_4">
    <title>2.4. Laboratory Analysis</title>
    <p>A trained laboratory technician performed a quantitative PCT assay on blood samples from neonates following the standard operating procedure for the test (Fluore Care PCT Kit, China). This is a diagnostic immuno-chromatographic test used to detect the concentration of PCT in serum using the double antibody sandwich method. The technique involved collecting half a millilitre to one millilitre of blood in a clean, dry, impermeable vacutainer tube and sending it to the laboratory. After centrifugation at 2500 rpm, 20 µL of blood sample was added to the 180 µL diluent solution tube and mixed for 2 minutes. Seventy microlitres of this mixture were applied to the card, which was placed at room temperature for 15 minutes before insertion into the analyser’s test card holder. A few seconds later, the result was automatically displayed on the screen. The diagnostic kit’s reference value range for PCT was 0.5 ng/ml.</p>
    <p>For blood cultures, neonatal blood samples (1 - 2 ml) were collected by aseptic peripheral venipuncture <xref ref-type="bibr" rid="scirp.143068-4">
      [4]
     </xref>. The indications for blood culture collection in newborns were the presence of one or more risk factors for bacterial infection and/or clinical signs.</p>
    <p>Neonatal blood samples were added to Bio Mérieux BACT/ALERT*FP paediatric blood culture bottles, after which the bottles were kept at room temperature. The blood culture bottles were transported at room temperature from the sampling site to the laboratory in the paediatric department of the Kisangani University clinics in a “Bac”.</p>
    <p>Culture was carried out after incubation for a maximum of 7 days, with the positive (virulent) flasks inoculated onto two Petri dishes, one made from fresh blood agar (FBA) and the other from Mac Conkey medium (PVX), after direct examination and Gram staining. Positive grams were isolated on GSF and Salt Agar Medium (SAM) while negative grams were isolated on GSF and Mac Conkey.</p>
    <p>The bacteria were identified 24 to 48 hours later, by comparing the various biochemical characteristics of the Api galleries. We considered the following germs to be contaminants: Bacillus spp, Micrococcus spsp and coagulase-negative Staphylococci (CNS). The test result was recorded in the patient file and communicated to the mother as part of the child’s care. All the blood for both tests was obtained in a single sample.</p>
    <p>INBP has been defined as an infection occurring within the first 72 hours of life. <xref ref-type="bibr" rid="scirp.143068-13">
      [13]
     </xref></p>
    <p>Newborns suspected of having a neonatal infection are those with an antenatal risk factor or clinical sign.</p>
    <p>Low birth weight was defined as a birth weight of less than 2500 g, and neonatal asphyxia as an APGAR score of less than 7 at five minutes. <xref ref-type="bibr" rid="scirp.143068-10">
      [10]
     </xref></p>
   </sec>
   <sec id="s2_5">
    <title>2.5. Statistical Analysis</title>
    <p>The data were recorded using Epi Info version 7.2.2.6 and the statistical analyses were carried out using R software version 4.4.2. For the descriptive analysis, the categorical data were described in terms of numbers and percentages, while the quantitative data were presented, in terms of their statistical distribution, in terms of mean and standard deviation or median and interquartile range. For bivariate analysis, comparisons of proportions were made using Pearson’s Chi-square test or Fisher’s exact test. Where the distribution of quantitative data was not normal, medians were calculated. Comparisons of medians were made using the Wilcoxson Mann-Whitney test. For all statistical tests, the significance threshold was 5% (p &lt; 0.05).</p>
   </sec>
   <sec id="s2_6">
    <title>2.6. Ethical Considerations</title>
    <p>The study protocol was approved by the ethics committee of the University of Kisangani (N˚ UNIKIS/CER/015/2023). In addition, we obtained permission from the administration of each SSE. Written or oral informed consent was obtained from each mother prior to inclusion of the neonate in the study.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <p>Of the 871 newborns admitted, 190 were selected for INBP, a frequency of 21.8%. The average age of the newborns was 48.6 hours, and the sex ratio was 1.2 (165 boys and 132 girls). Low birth weight was found in 15.5% of newborns and neonatal asphyxia in 20.2% of cases (<xref ref-type="table" rid="table1">
     Table 1
    </xref>). The average age of the mothers was 26, and most of them (80%) were housewives and well-educated. The most important antenatal risk factors were meconium amniotic fluid (12.1%), duration of water sac opening ≥18 h (10.8%) and maternal temperature ≥ 38˚C (8.1%), which was statistically significant (p &lt; 0.039). The most frequent clinical manifestations were disorders of thermal regulation including fever and hypothermia (70.4%) followed by respiratory disorders (44.8%) significant (p &lt; 0.018) and neurological signs (26.3%) (<xref ref-type="table" rid="table2">
     Table 2
    </xref>). Of the 297 newborns aged &lt; 72 hours, blood cultures were taken in 123 and came back positive in 5 newborns, giving a confirmed hospital incidence of INBP of 4.1%. The germs isolated were as follows: two blood cultures were positive for Enterobacter spp, two for Staphylococcus spp and one for Serratia spp. PCT was positive in 86 newborns, including the 5 with a positive blood culture. The median PCT of blood culture-positive neonates was higher than that of blood culture-negative neonates (<xref ref-type="table" rid="table3">
     Table 3
    </xref>). Regarding the clinical outcome of neonates, the median PCT was higher in neonates who died at 22.4 [3.7 - 50.0] compared with neonates with improved clinical status 0.8 [0.3 - 3.3] with a significant difference (<xref ref-type="table" rid="table4">
     Table 4
    </xref>). The outcome was favourable in most cases (96%) and the death rate was 4%.</p>
   <table-wrap id="table1">
    <label>
     <xref ref-type="table" rid="table1">
      Table 1
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143068-"></xref>Table 1. General characteristics of newborns.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="46.17%"><p style="text-align:center">Variables</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.16%"><p style="text-align:center">N</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="35.66%"><p style="text-align:center">N = 297<sup>1</sup></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="46.17%"><p style="text-align:center">Age of newborns (in hours)</p></td> 
      <td class="custom-top-td acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="custom-top-td acenter" width="35.66%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Average age</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center">297</p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">48.6 (19.9)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Brackets</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center">297</p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">&lt;24</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">34 (11.4%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">24 - 48</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">117 (39.4%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">&gt;48</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">146 (49.2%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Gender</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center">297</p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Male</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">165 (55.6%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Female</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">132 (44.4%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Apgar score at 5<sup>th</sup> minute</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center">297</p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">≥7</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">233 (78.5%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">&lt;7</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">60 (20.2%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Data not available</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">4 (1.3%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">Birth weight (g)</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center">297</p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">&lt;2500</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">46 (15.5%)</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="46.17%"><p style="text-align:center">2500 - 4000</p></td> 
      <td class="acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="35.66%"><p style="text-align:center">239 (80.5%)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="46.17%"><p style="text-align:center">&gt;4000</p></td> 
      <td class="custom-bottom-td acenter" width="18.16%"><p style="text-align:center"></p></td> 
      <td class="custom-bottom-td acenter" width="35.66%"><p style="text-align:center">12 (4.0%)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p><sup>1</sup>n (%); Mean (SD).</p>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143068-"></xref>Table 2. Clinical manifestations of neonates and variations in PCT</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="custom-top-td acenter" width="33.01%"><p style="text-align:center">Clinical signs</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="39.24%" colspan="2"><p style="text-align:center">PCT</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="16.34%"><p style="text-align:center">Total</p><p style="text-align:center">N = 297<sup>1</sup></p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="11.41%"><p style="text-align:center">p-value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.48%"><p style="text-align:center">Positive</p><p style="text-align:center">N = 190<sup>1</sup></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="19.76%"><p style="text-align:center">Negative</p><p style="text-align:center">N = 107<sup>1</sup></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="33.01%"><p style="text-align:center">Fever</p></td> 
      <td class="custom-top-td acenter" width="19.48%"><p style="text-align:center">120 (63.2%)</p></td> 
      <td class="custom-top-td acenter" width="19.76%"><p style="text-align:center">78 (72.9%)</p></td> 
      <td class="custom-top-td acenter" width="16.34%"><p style="text-align:center">198 (66.7%)</p></td> 
      <td class="custom-top-td acenter" width="11.41%"><p style="text-align:center">0.087<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Incessant crying</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">31 (16.3%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">29 (27.1%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">60 (20.2%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.026<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Dyspnoea</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">33 (17.4%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">8 (7.5%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">41 (13.8%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.018<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Refusal to feed</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">26 (13.7%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">10 (9.3%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">36 (12.1%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.3<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">No cries at birth</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">18 (9.5%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">10 (9.3%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">28 (9.4%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">&gt;0.9<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Convulsions</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">1 (0.5%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">1 (0.9%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">2 (0.7%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">&gt;0.9<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Premature birth</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">6 (3.2%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">1 (0.9%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">7 (2.4%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.4<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Vomiting</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">9 (4.7%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">1 (0.9%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">10 (3.4%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.10<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Respiratory distress</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">23 (12.1%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">4 (3.7%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">27 (9.1%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.016<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Whining</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">13 (6.8%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">4 (3.7%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">17 (5.7%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.3<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Tachypnea</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">10 (5.3%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">0 (0.0%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">10 (3.4%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.016<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Breathing pauses</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">1 (0.5%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">0 (0.0%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">1 (0.3%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">&gt;0.9<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Inter- and subcostal retraction</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">28 (14.7%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">3 (2.8%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">31 (10.4%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.001<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Xiphoid Depression</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">5 (2.6%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">1 (0.9%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">6 (2.0%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.4<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Vomiting</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">19 (10.0%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">1 (0.9%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">20 (6.7%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.003<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="33.01%"><p style="text-align:center">Abdominal bloating</p></td> 
      <td class="acenter" width="19.48%"><p style="text-align:center">4 (2.1%)</p></td> 
      <td class="acenter" width="19.76%"><p style="text-align:center">0 (0.0%)</p></td> 
      <td class="acenter" width="16.34%"><p style="text-align:center">4 (1.3%)</p></td> 
      <td class="acenter" width="11.41%"><p style="text-align:center">0.3<sup>3</sup></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p><sup>1</sup>n (%); <sup>2</sup>Chi-square test of independence; <sup>3</sup>Fisher’s exact test.</p>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143068-"></xref>Table 3. Blood culture and PCT results for the group of 123.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td rowspan="2" class="custom-top-td acenter" width="29.61%"><p style="text-align:center">Variables</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="94.80%" colspan="3"><p style="text-align:center">HEMOCULTURE</p></td> 
      <td rowspan="2" class="custom-top-td acenter" width="20.74%"><p style="text-align:center">p-value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="31.10%"><p style="text-align:center">Positive</p><p style="text-align:center">N = 5<sup>1</sup></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="34.07%"><p style="text-align:center">Negative</p><p style="text-align:center">N = 118<sup>1</sup></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="29.64%"><p style="text-align:center">Total</p><p style="text-align:center">N = 123<sup>1</sup></p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="29.61%"><p style="text-align:center">PCT (ng/ml)</p></td> 
      <td class="custom-top-td acenter" width="31.10%"><p style="text-align:center">5.7 [3.1 - 9.4]</p></td> 
      <td class="custom-top-td acenter" width="34.07%"><p style="text-align:center">1.1 [0.4 - 5.6]</p></td> 
      <td class="custom-top-td acenter" width="29.64%"><p style="text-align:center">1.3 [0.4 - 6.6]</p></td> 
      <td class="custom-top-td acenter" width="20.74%"><p style="text-align:center">0.0631<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="29.61%"><p style="text-align:center">PCT</p></td> 
      <td class="acenter" width="31.10%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="34.07%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="29.64%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.74%"><p style="text-align:center">0.3209<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="29.61%"><p style="text-align:center">Positive</p></td> 
      <td class="acenter" width="31.10%"><p style="text-align:center">5 (100.0%)</p></td> 
      <td class="acenter" width="34.07%"><p style="text-align:center">81 (68.6%)</p></td> 
      <td class="acenter" width="29.64%"><p style="text-align:center">86 (69.9%)</p></td> 
      <td class="acenter" width="20.74%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="29.61%"><p style="text-align:center">Negative</p></td> 
      <td class="custom-bottom-td acenter" width="31.10%"><p style="text-align:center">0 (0.0%)</p></td> 
      <td class="custom-bottom-td acenter" width="34.07%"><p style="text-align:center">37 (31.4%)</p></td> 
      <td class="custom-bottom-td acenter" width="29.64%"><p style="text-align:center">37 (30.1%)</p></td> 
      <td class="custom-bottom-td acenter" width="20.74%"><p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p><sup>1</sup>Median [EI]; n (%); <sup>2</sup>Wilcoxon-Mann-Whitney test; <sup>3</sup>Fisher’s exact test.</p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.143068-"></xref>Table 4. Clinical outcome of neonates and variations in PCT threshold.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="18.95%"><p style="text-align:center">Variables</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="23.41%"><p style="text-align:center">Improvement</p><p style="text-align:center">N = 285<sup>1</sup></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="20.41%"><p style="text-align:center">Deaths</p><p style="text-align:center">N = 12<sup>1</sup></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="21.92%"><p style="text-align:center">Total</p><p style="text-align:center">N = 297<sup>1</sup></p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="15.32%"><p style="text-align:center">p-value</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="18.95%"><p style="text-align:center">PCT (ng/ml)</p></td> 
      <td class="custom-top-td acenter" width="23.41%"><p style="text-align:center">0.8 [0.3 - 3.3]</p></td> 
      <td class="custom-top-td acenter" width="20.41%"><p style="text-align:center">22.4 [3.7 - 50.0]</p></td> 
      <td class="custom-top-td acenter" width="21.92%"><p style="text-align:center">0.9 [0.4 - 4.0]</p></td> 
      <td class="custom-top-td acenter" width="15.32%"><p style="text-align:center">&lt;0.0001<sup>2</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="18.95%"><p style="text-align:center">PCT</p></td> 
      <td class="acenter" width="23.41%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="20.41%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="21.92%"><p style="text-align:center"></p></td> 
      <td class="acenter" width="15.32%"><p style="text-align:center">0.0050<sup>3</sup></p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="18.95%"><p style="text-align:center">Positive</p></td> 
      <td class="acenter" width="23.41%"><p style="text-align:center">178 (62.5%)</p></td> 
      <td class="acenter" width="20.41%"><p style="text-align:center">12 (100.0%)</p></td> 
      <td class="acenter" width="21.92%"><p style="text-align:center">190 (64.0%)</p></td> 
      <td class="acenter" width="15.32%"><p style="text-align:center"></p></td> 
     </tr> 
     <tr> 
      <td class="custom-bottom-td acenter" width="18.95%"><p style="text-align:center">Negative</p></td> 
      <td class="custom-bottom-td acenter" width="23.41%"><p style="text-align:center">107 (37.5%)</p></td> 
      <td class="custom-bottom-td acenter" width="20.41%"><p style="text-align:center">0 (0.0%)</p></td> 
      <td class="custom-bottom-td acenter" width="21.92%"><p style="text-align:center">107 (36.0%)</p></td> 
      <td class="custom-bottom-td acenter" width="15.32%"><p style="text-align:center"></p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p><sup>1</sup>Median [EI]; n (%); <sup>2</sup>Wilcoxon-Mann-Whitney test; <sup>3</sup>Fisher’s exact test.</p>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>INBP remains a major cause of neonatal morbidity and mortality in both developed and developing countries <xref ref-type="bibr" rid="scirp.143068-16">
     [16]
    </xref> and in the DRC. It remains a concern for clinicians because of its non-specific symptoms and diagnostic difficulties. In our study, the frequency of infection was 21.8%, higher than that found by Chemsi et al. <xref ref-type="bibr" rid="scirp.143068-7">
     [7]
    </xref> (6.2% in Casablanca, Morocco), by Kamaye et al. <xref ref-type="bibr" rid="scirp.143068-10">
     [10]
    </xref> (5.4% in Niger) and by Konaté et al. <xref ref-type="bibr" rid="scirp.143068-17">
     [17]
    </xref> (11% in Mali). This frequency was lower than that found by Kemeze et al. <xref ref-type="bibr" rid="scirp.143068-1">
     [1]
    </xref> of 96.8% in Cameroon.</p>
   <p>The average age of the newborns was 48.6 hours, and only 11.6% were symptomatic within 24 hours of birth. The youngest was 7 hours old. The sex ratio was 1.2, the Apgar score at 5 minutes was &lt;7 in 20.2% and 15.5% of newborns had a low birth weight. The lack of unified criteria for diagnosing neonatal sepsis means that clinicians in resource-limited settings with no access to blood cultures must rely on a range of clinical arguments. <xref ref-type="bibr" rid="scirp.143068-18">
     [18]
    </xref> The risk factors found in our series were meconium amniotic fluid, opening of the water sac ≥ 18 h and maternal temperature ≥ 38˚C, which was significant. This result is different from the premature rupture of membranes significantly associated with the risk of neonatal sepsis found by Adarate et al. in Ghana <xref ref-type="bibr" rid="scirp.143068-19">
     [19]
    </xref>. The most frequent clinical manifestations were fever, respiratory disorders (with a significant difference) and neurological disorders. The same result was found by Nyenga et al. <xref ref-type="bibr" rid="scirp.143068-20">
     [20]
    </xref> in Lubumbashi in the DRC and Berhane et al. in Ethiopia. However, the symptomatology found by Tran et al. in Vietnam <xref ref-type="bibr" rid="scirp.143068-21">
     [21]
    </xref> and Maamouri et al. in Iran <xref ref-type="bibr" rid="scirp.143068-22">
     [22]
    </xref> is different from our series represented by respiratory distress and difficulty in eating, respectively. Blood culture, which is the gold standard, diagnosed only 5 positive cases. A negative blood culture does not always rule out neonatal infection, as low blood volume and low bacteremia may be the cause. This result is similar to that found by Oeser et al. <xref ref-type="bibr" rid="scirp.143068-23">
     [23]
    </xref> in England, who also found a low rate of blood culture in EONI. With regard to the clinical outcome of neonates, the median PCT was higher in neonates who died above the 50 ng/ml threshold than in neonates with improved clinical status, with a significant difference of p &lt; 0.0001 making PCT a prognostic marker for neonatal sepsis. The outcome was favourable in most cases (96%) and the death rate was 4%.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>Our study shows that INBP is still common in hospitals in our context. The clinical picture is dominated by fever, as well as respiratory and neurological disorders. Progression is favourable in most cases, but the median PCT is very high in neonates who die, making it a prognostic marker in resource-limited settings.</p>
  </sec><sec id="s6">
   <title>6. Limits of the Study</title>
   <p>The limitation of this study is the low positivity of the blood culture. This did not allow us to establish the bacterial ecology of INBP in our environment. Studies on larger cohorts of newborns should be considered in the future.</p>
  </sec><sec id="s7">
   <title>Authors’ Contributions</title>
   <p>The clinical examination of newborns suspected of having INBP and the collection of data were carried out by the following authors: H. M. V., G. B. M., V. M. K., B. B. L. and D. G. M.: H. M. V., G. B. M., V. M. K., B. B. L. and D. G. M. Correction of the study protocol and manuscript were provided by B. M. M., D. F. S., E. T. K. and J. P. A. O.</p>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.143068-ref1">
    <label>1</label>
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     Kemeze, S., Moudze, B., Chiabi, A., Eposse, C., Kaya, A., Mbangue, M., et al. (2016) Clinical and Bacteriological Profile of Neonatal Bacterial Infections at Laquintinie Hospital, Douala, Cameroon. Pan African Medical Journal, 23, Article 97. &gt;https://doi.org/10.11604/pamj.2016.23.97.8523
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