<?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><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojped.2021.112021</article-id><article-id pub-id-type="publisher-id">OJPed-109590</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Neonatal Morbidity and Mortality from 2010 to 2016 in the Neonatal Care Unit of the University Teaching Hospital of Parakou/Benin
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Alphonse</surname><given-names>Noudamadjo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Gérard</surname><given-names>M. Kpanidja</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>Falilatou</surname><given-names>Agbeille Mohamed</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>Kolawolé</surname><given-names>Mavlison Zinvokpodo</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>Rodrigue</surname><given-names>Ahodegnon</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>Joseph</surname><given-names>Agossou</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>Julien</surname><given-names>Didier Adédémy</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>Blaise</surname><given-names>Ayivi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Mother &amp;amp; Child Department, Faculty of Health Sciences, University of Abomey-Calavi; and Pediatrics &amp;amp; Medical Genetic Clinic, Hubert K Maga National University Teaching Hospital (CNHU-HKM) of Cotonou, Cotonou, Benin</addr-line></aff><aff id="aff1"><addr-line>Mother &amp;amp; Child Department, Faculty of Medecine, University Teaching Hospital of Parakou, Parakou, Benin</addr-line></aff><pub-date pub-type="epub"><day>28</day><month>04</month><year>2021</year></pub-date><volume>11</volume><issue>02</issue><fpage>215</fpage><lpage>224</lpage><history><date date-type="received"><day>23,</day>	<month>January</month>	<year>2021</year></date><date date-type="rev-recd"><day>28,</day>	<month>May</month>	<year>2021</year>	</date><date date-type="accepted"><day>31,</day>	<month>May</month>	<year>2021</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Introduction: 
  Neonatal mortality accounts for 44% of deaths among children. This study aimed to investigate neonatal morbidity and mortality in the neonatal care unit of the University Teaching Hospital of Parakou (CHU-P) from 2010 to 2016. <b>Patients and Methods:</b> This research was a retrospective, descriptive and analytical study that covered the period from January 1, 2010 to December 31, 2016. It focused on the medical records of newborns hospitalized in the said unit during the period mentioned above. Study variables were sociodemographic, clinical, paraclinical and outcome. <b>Findings: </b>During the time span of the study, 6204 newborns were registered. Sex ratio was 1.32. Mean age for newborns was 6.01 &#177; 5.39 days. Clinically obvious neonatal infection (54.1%), prematurity and low birth weight (34.8%) and perinatal asphyxia (30%) were the main diseases of newborn
  s
   recorded in the unit during the study period. Mortality rate was 16.8% including 77.9% occurred in the first week of life and 62.1% in the first 24 hours of life. <b>Conclusion:</b> More than one in six newborns died and three out of five deaths occurred in the first 24 hours of life. Therefore, it seems wise to carry out a case-control study with multivariate analysis in order to identify the main risk factors for that mortality.
 
</p></abstract><kwd-group><kwd>Benin</kwd><kwd> Morbibidity</kwd><kwd> Mortality</kwd><kwd> Newborns</kwd><kwd> Parakou</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Neonatal mortality accounts for 44% of deaths among under-five year children [<xref ref-type="bibr" rid="scirp.109590-ref1">1</xref>]. If the higher number of deaths of newborns is recorded in South Asia, the higher mortality rates are noted in Sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.109590-ref2">2</xref>]. In Benin, according to the 4th Benin Population and Health Survey (EDSB-IV), neonatal mortality was estimated at 20‰ between 2008 and 2012 for child mortality of 36‰ in the Borgou region [<xref ref-type="bibr" rid="scirp.109590-ref3">3</xref>]. In the CHU-P neonatal care unit where a similar study had already been carried out between 2002 and 2009, intra-hospital neonatal mortality was estimated at 21.1% [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>]. This research work was initiated in order to measure the progression of trends in neonatal mortality within the hospital during the next seven years. Its objective was to investigate neonatal morbidity and mortality in CHU-P neonatal care unit from 2010 to 2016.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>This research was a retrospective, descriptive and analytical study carried out in the neonatal care unit of the CHU-P pediatric ward in the North of Benin. It covered the period running from January 1, 2010, to December 31, 2016, i.e. seven (07) years and involved all the newborns hospitalized in the neonatal care unit during the study period. To be included, the newborns should be admitted alive during the study period with a medical bearing the diagnosis and type of discharge. The study excluded all the newborns admitted alive, dead on admission within fifteen minutes, who had no usable medical record (including neither diagnosis nor type of discharge). The cases were recruited through an exhaustive census including systematically all the medical records of patients meeting inclusion criteria. The main variables were morbidity expressed with frequencies of diagnosed diseases and then mortality expressed using death rates. The other variables were sociodemographic (mothers’ age and occupation), clinical (gestational age, birth weight, neonatal morbidity), and outcome (neonatal mortality). The different diagnoses were considered as recorded in the medical records. The data were entered and processed using the software EPI INFO version 7.2. The measures of central tendency and dispersion (Mode, Median, Standard deviation) were used to describe the quantitative variables. Ratios or proportions were used to describe qualitative variables. Khi test was used to compare ratios and proportions and difference was considered as significant if p-value &lt; 0.05.</p>Ethical and Professional Considerations<p>The performance of this study has been authorized in writing by the CHU-P Director; the processing of medical records has been authorized by the Head of the Pediatric Ward. Data anonymity and confidentiality were guaranteed and maintained.</p></sec><sec id="s3"><title>3. Findings</title><sec id="s3_1"><title>3.1. Population Description</title><p>In the whole pediatric ward of CHU-P, 24,597 children were admitted during the study period, including 6238 newborns. Among the latter, 6224 had a medical record. Among those 6224 medical records, 20 did not get information on exclusion modalities. In total, the study focused on 6204 newborns who were live babies admitted to the unit and with usable medical records. Newborns thus accounted for 25.2 % of admissions in the ward.</p><p>The mean age for mothers was 26.3 &#177; 9.1 years. Mothers aged 20 to 35 years were the predominant age group (81.1%). Among the mothers, 3641 were housewives (58.7%). Among all the newborns, 3530 were boys (56.9%) and 2674 were girls (43.1%) i.e. a sex ratio of 1.32. Mean age for newborns on admission was 6.01 &#177; 5.39 days. The newborns admitted were aged 24 hours and younger in 73.0% of cases. Four thousand three hundred and four (4304) newborns were born in CHU-P maternity i.e. a frequency of 69.4 % and 4238 (68.3%) had a presumed date of childbirth between 37 and 41 weeks of amenorrhea. Mean birth weight of newborns was 2608.85 &#177; 727.67 g. <xref ref-type="table" rid="table1">Table 1</xref> shows the distribution of newborns admitted from 2010 to 2016 to the CHU-P neonatal care unit according to sociodemographic, obstetrical and fetal characteristics.</p></sec><sec id="s3_2"><title>3.2. Chronological Evolution of Admissions and Deaths per Year</title><p>We note an overall trend of increase in admissions over the years until 2013; it was followed by a decline. <xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the chronological trends in admissions and deaths during the study period.</p></sec><sec id="s3_3"><title>3.3. Neonatal Morbidity</title><p>As regards diseases and syndromes concerning all the newborns, 3357 had a clinically obvious neonatal-infection (54.1%), 2158 were premature (34.8%), and 1863 had perinatal asphyxia (30.0%). <xref ref-type="table" rid="table2">Table 2</xref> shows the distribution of newborns admitted from 2010 to 2016 to the CHU-P neonatal care unit according to diseases and syndromes.</p></sec><sec id="s3_4"><title>3.4. Overall and Annual Trends in Mortality</title><p>Among the 6204 newborns admitted to the CHU-P neonatal care unit from 2010 to 2016, 1045 died i.e. gross mortality of 16.8%. Over the years, the following death rates were recorded: 18.4%, 21.2%, 21.3%, 13.6%, 13.9%, 16.8% and 15.1% respectively in 2010, 2011, 2012, 2013, 2014, 2015 and 2016. <xref ref-type="table" rid="table3">Table 3</xref> indicates the trends in admissions, deaths and death rates in the CHU-P neonatal care unit from 2010 to 2016.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of newborns admitted from 2010 to 2016 to the CHU-P neonatal care unit according to sociodemographic, fetal and obstetrical characteristics (N = 6204)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Population size</th><th align="center" valign="middle" >Ratios (%)</th></tr></thead><tr><td align="center" valign="middle" >Mothers’ age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >723</td><td align="center" valign="middle" >11.6</td></tr><tr><td align="center" valign="middle" >20 - 35</td><td align="center" valign="middle" >5030</td><td align="center" valign="middle" >81.1</td></tr><tr><td align="center" valign="middle" >&gt;35</td><td align="center" valign="middle" >451</td><td align="center" valign="middle" >7.3</td></tr><tr><td align="center" valign="middle" >Mother’s occupation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >3641</td><td align="center" valign="middle" >58.7</td></tr><tr><td align="center" valign="middle" >Craftswoman</td><td align="center" valign="middle" >1233</td><td align="center" valign="middle" >19,9</td></tr><tr><td align="center" valign="middle" >Civil servant</td><td align="center" valign="middle" >754</td><td align="center" valign="middle" >12.2</td></tr><tr><td align="center" valign="middle" >High school /University student</td><td align="center" valign="middle" >576</td><td align="center" valign="middle" >9.3</td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >3530</td><td align="center" valign="middle" >56.9</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >2674</td><td align="center" valign="middle" >43.1</td></tr><tr><td align="center" valign="middle" >Newborns’ age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤1 day</td><td align="center" valign="middle" >4529</td><td align="center" valign="middle" >73.0</td></tr><tr><td align="center" valign="middle" >2 - 7 days</td><td align="center" valign="middle" >1110</td><td align="center" valign="middle" >17.9</td></tr><tr><td align="center" valign="middle" >&gt;7 days</td><td align="center" valign="middle" >565</td><td align="center" valign="middle" >9.1</td></tr><tr><td align="center" valign="middle" >Place of birth</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >In Born</td><td align="center" valign="middle" >4304</td><td align="center" valign="middle" >69.4</td></tr><tr><td align="center" valign="middle" >Out Born</td><td align="center" valign="middle" >1900</td><td align="center" valign="middle" >30.6</td></tr><tr><td align="center" valign="middle" >Presumed date of childbirth (Weeks of Amenorrhea)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;28</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >1.9</td></tr><tr><td align="center" valign="middle" >28 - 31</td><td align="center" valign="middle" >390</td><td align="center" valign="middle" >6.3</td></tr><tr><td align="center" valign="middle" >32 - 34</td><td align="center" valign="middle" >598</td><td align="center" valign="middle" >9.6</td></tr><tr><td align="center" valign="middle" >35 - 36</td><td align="center" valign="middle" >747</td><td align="center" valign="middle" >12.1</td></tr><tr><td align="center" valign="middle" >37 - 41</td><td align="center" valign="middle" >4238</td><td align="center" valign="middle" >68.3</td></tr><tr><td align="center" valign="middle" >&gt;41</td><td align="center" valign="middle" >111</td><td align="center" valign="middle" >1.8</td></tr><tr><td align="center" valign="middle" >Birth weight</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Very low weight (&lt;1500 g)</td><td align="center" valign="middle" >492</td><td align="center" valign="middle" >7.9</td></tr><tr><td align="center" valign="middle" >Low weight (1500 - 2499 g)</td><td align="center" valign="middle" >1724</td><td align="center" valign="middle" >27.8</td></tr><tr><td align="center" valign="middle" >Normal weight (2500 - 3999 g)</td><td align="center" valign="middle" >3795</td><td align="center" valign="middle" >61.1</td></tr><tr><td align="center" valign="middle" >Macrosomia (≥4000 g)</td><td align="center" valign="middle" >193</td><td align="center" valign="middle" >3.1</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of newborns admitted from 2010 to 2016 to the CHU-P neonatal care unit according to diseases and syndromes (N = 6204)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Population size</th><th align="center" valign="middle" >Ratios (%)</th></tr></thead><tr><td align="center" valign="middle" >Obvious neonatal infection</td><td align="center" valign="middle" >3357</td><td align="center" valign="middle" >54.1</td></tr><tr><td align="center" valign="middle" >Prematurity and Low birth weight</td><td align="center" valign="middle" >2158</td><td align="center" valign="middle" >34.8</td></tr><tr><td align="center" valign="middle" >Perinatal asphyxia</td><td align="center" valign="middle" >1863</td><td align="center" valign="middle" >30.0</td></tr><tr><td align="center" valign="middle" >Neonatal respiratory distresses</td><td align="center" valign="middle" >1412</td><td align="center" valign="middle" >22.8</td></tr><tr><td align="center" valign="middle" >Pathological neonatal jaundice</td><td align="center" valign="middle" >1172</td><td align="center" valign="middle" >19.0</td></tr><tr><td align="center" valign="middle" >Neonatal malaria</td><td align="center" valign="middle" >1053</td><td align="center" valign="middle" >17.0</td></tr><tr><td align="center" valign="middle" >Neonatal hypoglycemia</td><td align="center" valign="middle" >676</td><td align="center" valign="middle" >10.9</td></tr><tr><td align="center" valign="middle" >Birth traumas</td><td align="center" valign="middle" >396</td><td align="center" valign="middle" >6.38</td></tr><tr><td align="center" valign="middle" >Congenital malformations</td><td align="center" valign="middle" >358</td><td align="center" valign="middle" >5.8</td></tr><tr><td align="center" valign="middle" >Other diseases</td><td align="center" valign="middle" >258</td><td align="center" valign="middle" >4.16</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Trends in admissions, deaths and death rates in the CHU-P neonatal care unit from 2010 to 2016 (N = 6204)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Years</th><th align="center" valign="middle" >Number of admissions</th><th align="center" valign="middle" >Number of deaths</th><th align="center" valign="middle" >Mortality rates (%)</th></tr></thead><tr><td align="center" valign="middle" >2010</td><td align="center" valign="middle" >789</td><td align="center" valign="middle" >143</td><td align="center" valign="middle" >18.1</td></tr><tr><td align="center" valign="middle" >2011</td><td align="center" valign="middle" >816</td><td align="center" valign="middle" >171</td><td align="center" valign="middle" >21.0</td></tr><tr><td align="center" valign="middle" >2012</td><td align="center" valign="middle" >1004</td><td align="center" valign="middle" >211</td><td align="center" valign="middle" >21.0</td></tr><tr><td align="center" valign="middle" >2013</td><td align="center" valign="middle" >1052</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >13.4</td></tr><tr><td align="center" valign="middle" >2014</td><td align="center" valign="middle" >1008</td><td align="center" valign="middle" >138</td><td align="center" valign="middle" >13.7</td></tr><tr><td align="center" valign="middle" >2015</td><td align="center" valign="middle" >748</td><td align="center" valign="middle" >124</td><td align="center" valign="middle" >16.6</td></tr><tr><td align="center" valign="middle" >2016</td><td align="center" valign="middle" >787</td><td align="center" valign="middle" >117</td><td align="center" valign="middle" >14.9</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >6204</td><td align="center" valign="middle" >1045</td><td align="center" valign="middle" >16.9</td></tr></tbody></table></table-wrap><p>Deaths occurred in 62.1% of cases in the first 24 hours of life. <xref ref-type="fig" rid="fig2">Figure 2</xref> shows the distribution of newborns deaths in the unit according to their age.</p></sec><sec id="s3_5"><title>3.5. Factors Associated with Death</title><p>As presented in the <xref ref-type="table" rid="table4">Table 4</xref>, the factors associated with neonatal death, were the mothers’ age (&lt;20 years), the mothers’ occupation (housewife, /craftwoman), the newborn sex (male), the newborns’ age (&gt;1 day), the gestational age (&lt;37 weeks), and the birth weight (&lt;2500 g).</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Factors associated with deaths in the CHU-P neonatal care unit from 2010 to 2016 (N = 6204)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  colspan="5"  >Death</th><th align="center" valign="middle"  rowspan="2"  >p</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total (N)</td><td align="center" valign="middle" >n</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >RR</td><td align="center" valign="middle" >IC<sub>95%</sub></td></tr><tr><td align="center" valign="middle" >Mothers’ age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >723</td><td align="center" valign="middle" >182</td><td align="center" valign="middle" >25.2</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >[1.4 - 1.8]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥20*</td><td align="center" valign="middle" >5481</td><td align="center" valign="middle" >863</td><td align="center" valign="middle" >15.7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mother’s occupation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Housewife/Craftswoman</td><td align="center" valign="middle" >4874</td><td align="center" valign="middle" >887</td><td align="center" valign="middle" >18.2</td><td align="center" valign="middle" >1.53</td><td align="center" valign="middle" >[1.4 - 1.9]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Civil servant/High school/ University student*</td><td align="center" valign="middle" >1330</td><td align="center" valign="middle" >158</td><td align="center" valign="middle" >11.9</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Sex</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0264</td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >3530</td><td align="center" valign="middle" >627</td><td align="center" valign="middle" >17.8</td><td align="center" valign="middle" >1.16</td><td align="center" valign="middle" >[1.1 - 1.3]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Female*</td><td align="center" valign="middle" >2674</td><td align="center" valign="middle" >418</td><td align="center" valign="middle" >15.6</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Newborns’ age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >≤1 day*</td><td align="center" valign="middle" >4529</td><td align="center" valign="middle" >649</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&gt;1 day</td><td align="center" valign="middle" >1675</td><td align="center" valign="middle" >396</td><td align="center" valign="middle" >23.6</td><td align="center" valign="middle" >1.6</td><td align="center" valign="middle" >[1.5 - 1.8]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Place of birth</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >In born*</td><td align="center" valign="middle" >4304</td><td align="center" valign="middle" >617</td><td align="center" valign="middle" >14.34</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Out born</td><td align="center" valign="middle" >1900</td><td align="center" valign="middle" >428</td><td align="center" valign="middle" >22.53</td><td align="center" valign="middle" >1.7</td><td align="center" valign="middle" >[1.5 - 1.9]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Presumed date of childbirth (Weeks of amenorrhea)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >&lt;37</td><td align="center" valign="middle" >1855</td><td align="center" valign="middle" >518</td><td align="center" valign="middle" >27.92</td><td align="center" valign="middle" >2.81</td><td align="center" valign="middle" >[2.45 - 3.22]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥37*</td><td align="center" valign="middle" >4349</td><td align="center" valign="middle" >527</td><td align="center" valign="middle" >12.11</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Birth weight</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Weight (&lt;2500 g)</td><td align="center" valign="middle" >2216</td><td align="center" valign="middle" >581</td><td align="center" valign="middle" >26.22</td><td align="center" valign="middle" >2.69</td><td align="center" valign="middle" >[2.35 - 3.09]</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Weight (≥2500 g)*</td><td align="center" valign="middle" >3988</td><td align="center" valign="middle" >464</td><td align="center" valign="middle" >11.63</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Reference terms.</p><p><xref ref-type="fig" rid="fig2">Figure 2</xref>. Distribution of newborns deaths in the CHU-P neonatal care unit from 2010 to 2016 according to their age (N = 6204).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This cross-sectional study based on a retrospective and analytical collection of data was carried out in the CHU-P neonatal care unit over a seven-year period. It thus has the merit of taking stock of admissions and mortality cases in the neonatal care unit since 2010. This may help make organizational and therapeutic decisions to improve the provision of care for newborns in the future. Despite its retrospective nature, source of possible missing data, it has the particular advantage of addressing a health issue in that area of the country.</p><sec id="s4_1"><title>4.1. Neonatal Morbidity</title><p>During the study period, intra-hospital-based neonatal morbidity accounted for 25.2% of general morbidity in the pediatric ward. This rate indicates the importance of neonatal care unit in that second referral ward. It points out the level of demands of neonatal care by the beneficiary population. This rate is higher than the one found out by Noudamadjo et al. in a similar study carried out from 2002 to 2009 in the same ward which was estimated at 17.8% [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>]. Therefore, there is an upward trend in neonatal care needs expressed by the population.</p><p>The most common diseases were respectively neonatal infections (54.1%), prematurity and low birth weight (34.8%) and perinatal asphyxia (30%). Neonatal infections were the most common disease, with 54.1% of admissions. This frequency of neonatal infections may be due either to the poor follow-up of pregnancy and lack of asepsis during childbirth or to manipulations during neonatal sepsis. For instance, in addition to classical maternal and fetal infections, the traditional practices which consist in having the umbilical cord fall down before the 72nd hour of life, would predispose those newborns to get infections which start from the umbilical cord. These findings are identical to the ones reported by Noudamadjo et al. between 2002 and 2009 in a study conducted in the same unit which showed that 57.8% of the hospitalizations were decided for neonatal infections [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>]. The predominance of neonatal infections among newborn diseases has been reported by several African authors with rates of 62% according to Kedy Koum et al. and 63.7% according to Thomson et al. [<xref ref-type="bibr" rid="scirp.109590-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref6">6</xref>]. Other authors reported lower rates. Those authors were Nagalo et al. who found 23.5% and Akaffou et al. 30.3% [<xref ref-type="bibr" rid="scirp.109590-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref8">8</xref>]. Prematurity and low birth weights were the second cause of hospitalization. This part of prematurity in the structure of diseases raises many problems such as content and quality of care inputs ranging from health staff to consumables trough equipment. That equipment is particularly insufficient and even non-existent in our context, thus predisposing the extremely premature newborns to a very high risk for death. This result is similar to the one of Kedy Koum et al. in Douala (28.9%), the one reported by Azoumath et al. in Togo (22.2 %), and also similar to the one reported by Bobossi in the Central African Republic (37.1%) [<xref ref-type="bibr" rid="scirp.109590-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref10">10</xref>]. Noudamadjo et al. (27.57%) found a rate close to the one of this study [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>]. In contrast, Nagalo et al. in Burkina Faso found a lower rate (17.8%) [<xref ref-type="bibr" rid="scirp.109590-ref7">7</xref>]. Perinatal asphyxia was also a common cause of admission to the unit. It was the third cause of hospitalization. For instance, 30% of admissions were decided for perinatal asphyxia. This high rate of perinatal asphyxia raises the problem of the quality of perinatal medicine in Benin. In fact, the prevention of asphyxia depends on the good follow-up of pregnancy, particularly in the last quarter, a systematic and proper actual use of the partograph in the management of labor and on good neonatal resuscitation according to the concept of Help Babies Breathe (HBB) if necessary. Nagalo et al. reported a rate lower than the one of this study (20.9%) [<xref ref-type="bibr" rid="scirp.109590-ref7">7</xref>], as well as Thomson et al. in South Sudan (4.7%) [<xref ref-type="bibr" rid="scirp.109590-ref6">6</xref>]. As regards Kedy Koum et al., they reported a rate close to the one of this study (27.4%) [<xref ref-type="bibr" rid="scirp.109590-ref5">5</xref>], whereas Noudamadjo et al. reported a higher ratio (42%) [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>].</p></sec><sec id="s4_2"><title>4.2. Neonatal Mortality</title><p>During the study period, the gross rate of neonatal mortality in the CHU-P was 16.8%. This high rate may be due to the method of recruitment of newborns. This rate is lower than the one found by Noudamadjo et al. (21.1 %) [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>]. Kou&#233;ta et al. had found a neonatal mortality rate close to the one of this study (15.3%) [<xref ref-type="bibr" rid="scirp.109590-ref11">11</xref>]. Nagalo et al. in Burkina Faso (13.1%) as well as Noria et al. in Algeria (5.3%) reported rates lower than the one of this study [<xref ref-type="bibr" rid="scirp.109590-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref12">12</xref>]. In the West African sub-region, in Nigeria for example, Omoigberale et al. reported in 2010 a neonatal mortality of 20.3%; Mabiala-Babela et al. reported in 2009 in Congo neonatal mortality of 36.8% [<xref ref-type="bibr" rid="scirp.109590-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref14">14</xref>]. The death rate has gradually declined from 21.3% to 13.6% during the seven years of the study. The two extremes were observed in 2012 with the highest death rate (21.3%) and in 2013 with the lowest rate (13.6%). That gradual decline of the death rate during the study may be due to the sustained and continued efforts of the medical staff to improve care provision. Actually, hygiene was improved within the unit since 2009 through the systematization of the use of disposable diapers for any newborn who was therein admitted. In addition, the training of inmate trainees and maternities’ staffs in emergency obstetrical and neonatal care (EmONC) contributed to reducing that neonatal mortality rate. Within the CHU-P neonatal care unit, 77.9% of neonatal deaths were recorded during the first week of life. Deaths in the first 24 hours of life accounted for 62.1% of cases. This result is higher than the one reported by Noudamadjo et al. who had found 75% of neonatal mortality occurred in the first week of life and 48.3% in the first 24 hours of life [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>]. Kou&#233;ta et al. in Ouagadougou in 2007, Noria et al. in Algeria in 2015 and Sylla et al. in Mali in 2009 reported neonatal mortalities in the first week of life respectively estimated at 97.3%, 96.85% and 91.10% [<xref ref-type="bibr" rid="scirp.109590-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref15">15</xref>]. These results give rise to many reflections. At first sight, one would think that newborns were admitted in a very precarious health condition; this raises the issue of management of pregnant women, labor, and newborns within the community before admission; each of those three components should be improved to reduce neonatal mortality. Then, despite the precarious health condition of newborns on their admission, if the installations, the medical and technical equipment, the consumables, the drugs, and staff professional skills were at a high level, a certain number of dead newborns could have recovered. This raises once again the issue of financing of neonatal care units in Sub-Saharan Africa in general and especially in Benin.</p></sec><sec id="s4_3"><title>4.3. Factors Associated with Death</title><p>This study shows that the following factors were associated with death: the age of the mother (less than 20 years), the mother occupation (poorly paid), the male gender of the newborn, the newborns’ age less than a day, the place of birth outside the reference hospital (out born), low birth weight and prematurity. These factors related to death are those described in the literature [<xref ref-type="bibr" rid="scirp.109590-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.109590-ref15">15</xref>]. It is by acting on these factors that we can reduce the still high death rate in our unit.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>This study points out that newborn admissions accounted for more than a quarter of admissions to the pediatric ward. The most common diseases were neonatal infection, prematurity and low birth weight and perinatal asphyxia. More than one out of six newborns died and three out of five deaths occurred in the first 24 hours of life. This high mortality suggests conducting a prospective study on the real factors associated with deaths.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Noudamadjo, A., Kpanidja, G.M., Mohamed, F.A., Zinvokpodo, K.M., Ahodegnon, R., Agossou, J., Ad&#233;d&#233;my, J.D. and Ayivi, B. (2021) Neonatal Morbidity and Mortality from 2010 to 2016 in the Neonatal Care Unit of the University Teaching Hospital of Parakou/Benin. Open Journal of Pediatrics, 11, 215-224. https://doi.org/10.4236/ojped.2021.112021</p></sec></body><back><ref-list><title>References</title><ref id="scirp.109590-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Lawn, J.E., Cousens, S. and Zupan, J. (2005) Four Million Neonatal Deaths: When? Where? Why? The Lancet, 365, 891-900.  
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