<?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.2021.112026</article-id><article-id pub-id-type="publisher-id">OJPed-109731</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>
 
 
  Etiologies of Neonatal Mortality in a Tertiary Care Hospital in a Resource-Limited Setting
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Calixte</surname><given-names>Ida Penda</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>Ritha</surname><given-names>Mbono Betoko</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>Danielle</surname><given-names>Kedy Koum</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Essome</surname><given-names>Henri</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Patricia</surname><given-names>Epée Eboumbou</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Christelle</surname><given-names>Mpah Edimo</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Eyoum</surname><given-names>Billè Bertrand</given-names></name><xref ref-type="aff" rid="aff7"><sup>7</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Charlotte</surname><given-names>Eposse</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>Olivier</surname><given-names>Koki Ndombo</given-names></name><xref ref-type="aff" rid="aff8"><sup>8</sup></xref></contrib></contrib-group><aff id="aff5"><addr-line>Bonassama District Hospital, Douala, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Déido District Hospital, Douala, Cameroon</addr-line></aff><aff id="aff1"><addr-line>General Hospital of Douala, Douala, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Department of Surgery, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon</addr-line></aff><aff id="aff6"><addr-line>Department of Pediatrics, Laquintinie Hospital, Douala, Cameroon</addr-line></aff><aff id="aff7"><addr-line>Faculty of Sciences, University of Dschang, Dschang, Cameroon</addr-line></aff><aff id="aff8"><addr-line>Department of Pediatrics, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Department of Clinical Sciences, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, Douala, Cameroon</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>268</fpage><lpage>280</lpage><history><date date-type="received"><day>29,</day>	<month>April</month>	<year>2021</year></date><date date-type="rev-recd"><day>5,</day>	<month>June</month>	<year>2021</year>	</date><date date-type="accepted"><day>8,</day>	<month>June</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>
 
 
  Background
  <b>:</b>
   Neonatal mortality remains a major public health problem in low income countries. The survival within the first 28 days of life remains a challenge in such countries. Many strategies have been implemented to reduce deaths in children under five especially in sub-Saharan Africa. Laquintinie Douala Hospital benefits from some of these measures including a perinatal network and an emergency voucher. We aimed to describe the main causes of neonatal deaths at Laquintinie Douala Hospital. <b>Methods</b>
  <b>:</b>
   We carried out a cross-sectional study including files of all deceased neonates in the neonatal unit during a 24 months period from January 1<sup>st</sup>, 2017 to December 31<sup>st</sup>, 2018. Data collection included socio-demographic characteristics of the mothers and the newborns, clinical and therapeutic data and the evolution of the newborn. We used SPSS 20 software for data analysis with a p
  -
  value less than 0.05. <b>Results:</b>
  <b> </b>
  We included 270 files with an over
  all mortality rate of 13.1% and a sex ratio of 1.2. The main causes of death included prematurity (37.8%), neonatal infection (34.1%) and neonatal asphyxia (24.4%). The main factors associated with deaths included informal sector (OR = 5.49; 95% CI 0.86
   
  -
   
  34.77; p = 0.07) and a primary level of education for mothers, malaria during pregnancy (OR 2.28; 95% CI, 1.44
   
  -
   
  3.12; p
   
  =
   
  0.0001), very preterm babies (OR 6.45; 95% CI 4.68
   
  - 8.89; p
   
  &lt;
   
  0.001) and resuscitation (OR 1.63; 95% CI 1.25
   
  - 2.13; p = 0.0001)
  .
   
  <b>Conclusion:</b>
   Neonatal mortality was lower than data in previous studies but remains high. This highlights 
  the 
  need 
  for
   caregiver training and improvement of antenatal visits in our setting.
 
</p></abstract><kwd-group><kwd>Newborn</kwd><kwd> Neonatal Mortality</kwd><kwd> Laquintinie Douala Hospital</kwd><kwd> Cameroon</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Neonatal mortality remains a major public health problem in low-income countries. In 2016, 2.6 million children died before their 28<sup>th</sup> day of life. Every day, almost 7000 newborns die [<xref ref-type="bibr" rid="scirp.109731-ref1">1</xref>]. They represent almost half of the deaths recorded in under five years children. The majority of these deaths occur in lowest-middle income countries, especially in sub-Saharan Africa and Southern Asia [<xref ref-type="bibr" rid="scirp.109731-ref1">1</xref>]. Neonatal mortality reflects the quality of care provided to pregnant women and newborns during the first days of life [<xref ref-type="bibr" rid="scirp.109731-ref2">2</xref>]. In order to achieve the fourth Millennium Goal for sustainable development, strategies have been implemented in Sub-Saharan Africa to reduce neonatal mortality [<xref ref-type="bibr" rid="scirp.109731-ref3">3</xref>]. Programs such as the Expanded Immunization Program, high-quality antenatal care, and integrated management of childhood illnesses as well as emergency obstetrical and neonatal care have been implemented.</p><p>Despite these strategies, the neonatal mortality rate remains high in sub-Saharan Africa. It was estimated at 35.7/1000 in Mali, 42.3/1000 in the Central African Republic and 36.6/1000 in Ivory Coast in 2016 according to UNICEF [<xref ref-type="bibr" rid="scirp.109731-ref4">4</xref>]. In Cameroon, the neonatal mortality rate was estimated at 28 per 1000 live births in 2015 [<xref ref-type="bibr" rid="scirp.109731-ref5">5</xref>]. Hospital-based studies respectively found 20.3% of deaths in 2015 at the Laquintinie Douala Hospital (LDH) and 15.7% of deaths at the Bamenda Regional Hospital in 2017 [<xref ref-type="bibr" rid="scirp.109731-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.109731-ref7">7</xref>].</p><p>Due to the burden of neonatal mortality at LDH in 2015, some cost-effective interventions were initiated to improve survival of newborns in neonatal care unit. A perinatal referral network was created for management of critically ill neonates. They also set up an emergency care voucher with recovery of deferred costs. The perinatal network was created on August 17, 2016. It is managed by 3 administrators. A team of 112 maternal and child caregivers is involved. They are posted in public and private health facilities in Douala and neighboring towns. Communication is established through a social network. Each caregiver gives key data for adequate referral destinations and rapid admission of critically ill newborns. Between 10 and 20 communications are recorded every day. Recovery of deferred cost is a tool that improves management of emergencies for newborns with no financial support. The aim of this study was to evaluate the impact of these new strategies in the care of newborns through the study of neonatal deaths. Specifically, we aimed to estimate the in-hospital neonatal mortality rate, identify the leading causes and associated factors in this referral hospital.</p></sec><sec id="s2"><title>2. Methods</title><sec id="s2_1"><title>2.1. Study Design and Setting</title><p>We retrospectively recorded files of newborns admitted and deceased during a 24 months’ period from January 1<sup>st</sup>, 2017 to December 31<sup>st</sup>, 2018 in the neonatal unit of Laquintinie Douala Hospital. It is a teaching hospital located in the Littoral region, in the economic capital of Cameroon. It is a tertiary care health facility. The neonatal unit is divided into 3 areas (red area or emergency room, orange area for referred newborns and green area for newborns coming from the hospital maternity ward). It has a capacity of 38 places including 28 beds, 7 incubators and 3 neonatal resuscitation tables. It has a reception ward, an intensive care unit and a kangaroo care unit for premature babies. The medical team is made up of 3 pediatricians and 4 general practitioners. The nursing team is made up of 25 nurses divided into 4 teams.</p><p>Some strategies like the perinatal network and emergency care voucher had improved management of neonatal emergencies. The perinatal network is a team of 112 maternal and child caregivers who are posted in public and private health facilities in Douala and neighboring towns. Communication is established through a social network. Each caregiver gives key data for adequate referral destinations and rapid admission of critically ill newborns. It helps to increase survival of neonates in vital distress. Moreover, they benefit from the emergency care voucher (called the green voucher) for drugs and emergency exams with deferred cost recovery.</p></sec><sec id="s2_2"><title>2.2. Study Population</title><p>We included records of all newborns who arrived alive and who died during hospitalization in the neonatology unit of the Laquintinie Douala Hospital. Records of newborns were included consecutively. Records of newborns who arrived deceased and those with incomplete records were excluded (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s2_3"><title>2.3. Data Collection</title><p>We collected data from neonatal unit registers and medical records. Data collection was performed with a pretested record and variables included:</p><p>&#183; The socio-demographic characteristics of the mother (age, profession, level of education) and the newborn (age, gender, birth weight, place of origin, means of transport);</p><p>&#183; Obstetrical data (parity, gestational age, number of antenatal consultations, tetanus/antianemic/antimalarial prophylaxis, serologies performed, risk factors for neonatal sepsis, place and route of delivery, apgar score);</p><p>&#183; The clinical characteristics of newborns (reason for admission, clinical signs, positive diagnosis, duration of treatment, time of death).</p></sec><sec id="s2_4"><title>2.4. Definition of Terms</title><p>Neonatal mortality was defined as death that occurred within the first 28 days of life. Neonatal sepsis was considered for any newborn with infectious risk factors (prolonged rupture of membranes, per partum fever, urogenital infection in the third trimester, chorioamnionitis), clinical signs of infection (fever, hypothermia, jaundice, respiratory distress, seizures, refusal to breastfeed, pallor) and biological criteria (CRP greater than 20 mg/l, with or without bacteriological or radiological evidence of infection). Respiratory distress was considered for a Silverman score greater than 2/10. Neonatal asphyxia was defined as inability to establish a cry or autonomic breathing at birth with an alteration of the Sarnat score without any other identifiable etiologies. It should be noted that there was no gas measurement to measure blood pH and base deficiency. A poor Apgar score was defined as an Apgar score less than 7 at the 5<sup>th</sup> minute. Small for gestational age (SGA) was defined as a birth weight less than 2500 g. Prematurity was defined as a gestational age less than 37 weeks’ amenorrhea.</p></sec><sec id="s2_5"><title>2.5. Statistical Analysis</title><p>The data were recorded using EPI-INFO software version 7.2.0. We used SPSS software version 20.0 (IBM Corporation, Chicago, USA) for statistical analysis. Continuous variables were expressed as median with the interquartile range. Categorical variables were presented as proportions, percentages or frequencies. We used the Chi square test to compare proportions between groups. Quantitative variables were compared using student’s t test. We used a logistic regression to identify factors associated with neonatal mortality. A p-value &lt; 0.05 was considered statistically significant.</p></sec><sec id="s2_6"><title>2.6. Ethical Considerations</title><p>This study received ethical approval from the institutional board review of the Faculty of Medicine and Pharmaceutical Sciences of Douala (N˚ 1760 CEI-Udo/04/2019/T). Administrative approval was obtained from the head office of the Laquintinie Hospital in Douala (N˚ 03795/AR/MINSANTE/DHL/CM). The principles of anonymity and confidentiality were respected in reporting the results.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Neonatal Mortality Rate</title><p>During the study period, 2061 newborns were admitted to the neonatal unit of LDH. Among them, 275 newborns died, for an overall neonatal hospital mortality rate of 13.3%. We excluded 5 files due to missing data. We retained 270 files (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p></sec><sec id="s3_2"><title>3.2. Characteristics of Deceased Newborns</title><p>In total, 77% of deceased newborns were admitted on the first day of life. Out of the deceased newborns, 149 (55.2%) were male and the sex ratio was 1.2. According to the place of delivery, 173 (64.1%) newborns were delivered at Laquintinie Douala Hospital and 80 (29.6%) newborns were coming from another health facility in the town. More than half of deceased newborns were transported by families prior to admission (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>A total of 263 (97.4%) deceased newborns were born in a maternity. Vaginal delivery was effective in 205 (75.9%) cases. Cesarean section had been performed for 65 (24.1%) newborns. The main indications for cesarean section were acute fetal distress (27.7%) severe pre-eclampsia (23.2%) and cephalo-pelvic disproportions (12.3%). The median weight (IQR) of newborns at birth was 2052 (1347 - 3200) grams with a range of 700 g to 4800 g. More than half of the newborns who died were born prematurely. The median Apgar scores were 6 (5 - 8) at the 1st minute and 7 (6 - 9) at the 5<sup>th</sup> minute, respectively. Resuscitation was performed in 104 newborns (38.51%).</p><p>The median age of mothers (IQR) was 28 (22.7 - 31) years with a range of 17 to 43 years. The 25 - 29 age group represented 34.1% of mothers, followed by the 20 - 24 age group (30.4%). Mothers working in the informal sector represented 60.4%, followed by pupils and students (26.3%). More than half of the mothers (n = 204) had made less than 4 antenatal consultations during their pregnancy (<xref ref-type="table" rid="table2">Table 2</xref>). They received two doses of tetanus toxoid vaccine. Antimalarial and anti-anemic prophylaxis had been observed in most mothers. All mothers were tested for HIV and 12 (4.4%) were positive. Of the 270 mothers, 21 (8.1%) had per partum fever and 150 (44.4%) had premature rupture of membranes within 6 hours.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Baseline characteristics of the dead newborns</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >N (%)</th></tr></thead><tr><td align="center" valign="middle" >Age (days)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;1</td><td align="center" valign="middle" >200 (74.0)</td></tr><tr><td align="center" valign="middle" >1 - 7</td><td align="center" valign="middle" >43 (16.0)</td></tr><tr><td align="center" valign="middle" >&gt;7</td><td align="center" valign="middle" >27 (10.0)</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >149 (55.2)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >121 (44.8)</td></tr><tr><td align="center" valign="middle" >Birth weight (grams)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;2500</td><td align="center" valign="middle" >158 (58.6)</td></tr><tr><td align="center" valign="middle" >&gt;2500</td><td align="center" valign="middle" >112 (41.4)</td></tr><tr><td align="center" valign="middle" >Gestational age (weeks)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >28 - 32</td><td align="center" valign="middle" >98 (36.3)</td></tr><tr><td align="center" valign="middle" >32 - 36</td><td align="center" valign="middle" >64 (23.7)</td></tr><tr><td align="center" valign="middle" >37 - 42</td><td align="center" valign="middle" >93 (34.4)</td></tr><tr><td align="center" valign="middle" >&gt;42</td><td align="center" valign="middle" >15 (5.6)</td></tr><tr><td align="center" valign="middle" >Provenance</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Referred</td><td align="center" valign="middle" >80 (29.6)</td></tr><tr><td align="center" valign="middle" >Home</td><td align="center" valign="middle" >17 (6.3)</td></tr><tr><td align="center" valign="middle" >LHD* Maternity</td><td align="center" valign="middle" >173 (64.1)</td></tr><tr><td align="center" valign="middle" >Mean of transport</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Non-medical</td><td align="center" valign="middle" >193 (71.5)</td></tr><tr><td align="center" valign="middle" >Medical</td><td align="center" valign="middle" >77 (28.5)</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Features of Mothers of Deceased Newborns</title><p>The median age of mothers (IQR) was 28 (22.7 - 31) years with a range of 17 to 43 years. The 25 - 29 age group represented 34.1% of mothers, followed by the 20 - 24 age group (30.4%).</p><p>Mothers working in the informal sector represented 60.4%, followed by pupils and students (26.3%). More than half of the mothers (n = 204) had made less than 4 antenatal consultations during their pregnancy (<xref ref-type="table" rid="table2">Table 2</xref>). They had received two doses of tetanus toxoid vaccine. Antimalarial and anti-anemic prophylaxis had been observed in most mothers. All mothers were tested for HIV and 12 (4.4%) were positive. Of the 270 mothers, 21 (8.1%) had per partum fever and 150 (44.4%) had premature rupture of membranes within 6 hours.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Baseline characteristics of the mothers with dead newborns</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >n (%)</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >12 (4.4)</td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >82 (30.4)</td></tr><tr><td align="center" valign="middle" >25 - 29</td><td align="center" valign="middle" >92 (34.1)</td></tr><tr><td align="center" valign="middle" >30 - 34</td><td align="center" valign="middle" >60 (22.2)</td></tr><tr><td align="center" valign="middle" >&gt;34</td><td align="center" valign="middle" >24 (8.9)</td></tr><tr><td align="center" valign="middle" >Occupation</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >71 (26.3)</td></tr><tr><td align="center" valign="middle" >Formal worker</td><td align="center" valign="middle" >23 (8.5)</td></tr><tr><td align="center" valign="middle" >Informal worker</td><td align="center" valign="middle" >176 (65.2)</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >22 (8.2)</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >177 (65.5)</td></tr><tr><td align="center" valign="middle" >University</td><td align="center" valign="middle" >71 (26.3)</td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Primiparity</td><td align="center" valign="middle" >146 (54.1)</td></tr><tr><td align="center" valign="middle" >Multiparity</td><td align="center" valign="middle" >124 (45.9)</td></tr><tr><td align="center" valign="middle" >Number of antenatal visits</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt; 4</td><td align="center" valign="middle" >205 (75.9)</td></tr><tr><td align="center" valign="middle" >&gt;4</td><td align="center" valign="middle" >65 (24.1)</td></tr><tr><td align="center" valign="middle" >Place of delivery</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Maternity</td><td align="center" valign="middle" >263 (97.4)</td></tr><tr><td align="center" valign="middle" >At home</td><td align="center" valign="middle" >7 (2.6)</td></tr><tr><td align="center" valign="middle" >Mode of child birth</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Spontaneous vaginal delivery</td><td align="center" valign="middle" >205 (76.0)</td></tr><tr><td align="center" valign="middle" >Cesarean section</td><td align="center" valign="middle" >65 (24.0)</td></tr></tbody></table></table-wrap></sec><sec id="s3_4"><title>3.4. Clinical Features of Deceased Newborns</title><p>Prematurity, poor Apgar score and acute fetal distress were the main reasons of admission in neonatal unit (<xref ref-type="table" rid="table3">Table 3</xref>). According to vital parameters, 148 (55.4%) deceased newborns had hypothermia on admission, 102 (38.2%) had normal temperature and 17 (6.4%) had fever. The median heart rate (IQR) was 138 (126 - 150) beats/minute. The median respiratory rate (IQR) was 45 (35 - 54) cycles/minute. More than half of the deceased newborns (72.6%) had an oxygen saturation greater than 95%.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Reason for admission to the neonatal unit</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Reason for admission</th><th align="center" valign="middle" >n (%)</th></tr></thead><tr><td align="center" valign="middle" >Prematurity</td><td align="center" valign="middle" >124 (45.9)</td></tr><tr><td align="center" valign="middle" >Poor APGAR score</td><td align="center" valign="middle" >39 (14.4)</td></tr><tr><td align="center" valign="middle" >Acute fetal distress</td><td align="center" valign="middle" >24 (8.9)</td></tr><tr><td align="center" valign="middle" >Refusal to suck</td><td align="center" valign="middle" >25 (9.3)</td></tr><tr><td align="center" valign="middle" >Respiratory distress</td><td align="center" valign="middle" >17 (7.0)</td></tr><tr><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >11 (4.1)</td></tr><tr><td align="center" valign="middle" >Others*</td><td align="center" valign="middle" >30 (11.1)</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >270 (100)</td></tr></tbody></table></table-wrap><p>Others*: Jaundice, convulsions, small-for-gestational-age, prolonged rupture of membranes, cough, vomiting.</p><p>The newborns showed several signs of severity at the same time. Cyanosis and desaturation were found in 175 (64.8%) and 179 (66.3%) newborns, respectively. Only 15 (5.6%) newborns had fever.</p></sec><sec id="s3_5"><title>3.5. Etiologies of Neonatal Deaths</title><p>The main causes of neonatal death were prematurity (n = 102; 37.8%), neonatal sepsis (n = 92; 34.1%) and neonatal asphyxia (n = 66; 24.4%) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p></sec><sec id="s3_6"><title>3.6. The Delay in the Occurrence of Newborn Deaths</title><p>More than half of the newborns (n = 168; 62.2%) died at night (between 5 p.m. and 7 a.m.). More than 2/5 newborn deaths occurred between 24 and 72 hours after their admission to the neonatal department respectively in 2017 (40.4%) and (41.4%) 2018.</p></sec><sec id="s3_7"><title>3.7. Factors Associated with Neonatal Mortality</title><p>Newborns whose mothers were in the informal sector [OR = 5.49; 95% CI 0.86 - 34.77; p = 0.07] and a primary level of education [OR = 2.42; 95% CI 1.98 - 2.85; p = 0.0001] had a significantly elevated risk of death.</p><p>As for obstetrical data, multiparity [OR = 2.61; 95% CI 0.51 - 13.19; p = 0.001], a number of antenatal consultations less than 4 [OR = 3.29; 95% CI 0.80 - 13.56;p = 0.09] and malaria during pregnancy [OR = 2.28; 95% CI 1.44 - 3.12; p = 0.0001] increased the risk of neonatal death.</p><p>Delivery by cesarean section [OR 0.59; 95% CI 0.43 - 0.82; p = 0.0001] was a protective factor. However, resuscitation [OR 1.63; 95% CI 1.25 - 2.13; p = 0.0001] and extreme prematurity [OR 6.45; 95% CI 4.68 - 8.89; p &lt; 0.001] significantly increased the risk of death as reported in <xref ref-type="table" rid="table4">Table 4</xref>.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Neonatal factors associated to neonatal mortality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >Frequencies</th><th align="center" valign="middle" >Deaths %</th><th align="center" valign="middle" >OR (IC &#224; 95%)</th><th align="center" valign="middle" >P value</th></tr></thead><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></tr><tr><td align="center" valign="middle" >&lt;2500</td><td align="center" valign="middle" >158</td><td align="center" valign="middle" >58.6</td><td align="center" valign="middle" >0.31 (0.24 - 0.40)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >&gt;2500</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >41.4</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Gestational age (weeks)</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></tr><tr><td align="center" valign="middle" >28 - 32</td><td align="center" valign="middle" >98</td><td align="center" valign="middle" >36.3</td><td align="center" valign="middle" >6.45 (4.68 - 8.89)</td><td align="center" valign="middle" >&lt; 0.001</td></tr><tr><td align="center" valign="middle" >32 - 36</td><td align="center" valign="middle" >64</td><td align="center" valign="middle" >23.7</td><td align="center" valign="middle" >3.57 (2.52 - 5.06)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >&gt;42</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >2.56 (1.44 - 4.56)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >37-42</td><td align="center" valign="middle" >93</td><td align="center" valign="middle" >34.4</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mode of child 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></tr><tr><td align="center" valign="middle" >Cesarean section</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >24.0</td><td align="center" valign="middle" >0.59 (0.43 - 0.82)</td><td align="center" valign="middle" >0.0001</td></tr><tr><td align="center" valign="middle" >Spontaneous vaginal delivery</td><td align="center" valign="middle" >205</td><td align="center" valign="middle" >76.0</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Resuscitation</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></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >105</td><td align="center" valign="middle" >38.9</td><td align="center" valign="middle" >1.63 (1.25 - 2.13)</td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >61.1</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Provenance</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></tr><tr><td align="center" valign="middle" >At home</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >6.3</td><td align="center" valign="middle" >0.99 (0.58 - 1.59)</td><td align="center" valign="middle" >0.973</td></tr><tr><td align="center" valign="middle" >Referred</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >29.6</td><td align="center" valign="middle" >1.02 (0.77 - 1.36)</td><td align="center" valign="middle" >0.868</td></tr><tr><td align="center" valign="middle" >DLH Maternity</td><td align="center" valign="middle" >173</td><td align="center" valign="middle" >64.1</td><td align="center" valign="middle" >Reference</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><p>The aim of this study was to evaluate the impact of new strategies initiated in a tertiary care hospital in Douala to reduce neonatal mortality. It shows that the in-hospital neonatal mortality rate was 13.3%. The causes of neonatal mortality were prematurity (37.8%), neonatal infection (34.1%) and perinatal asphyxia (24.4%). Primary level of education, less than 4 antenatal visits as well as prematurity significantly increased the risk of neonatal death.</p><sec id="s4_1"><title>4.1. Hospital Neonatal Mortality</title><p>The neonatal mortality rate in our study was 13.3%. This result is lower than the mortality rate of 20.3% found by Kedy Koumet al. in the same hospital in 2015 [<xref ref-type="bibr" rid="scirp.109731-ref6">6</xref>]. Owusu et al. also reported a higher mortality rate than our study in Ghana in 2018 [<xref ref-type="bibr" rid="scirp.109731-ref8">8</xref>]. Our results are similar to those of Koki Ndombo et al. in Cameroon in 2017 who had a mortality rate of 15.7% [<xref ref-type="bibr" rid="scirp.109731-ref7">7</xref>]. This result could be explained by the new strategies adopted especially the perinatal network in Douala. This network facilitates the transfer of newborns from one health facility to another. In addition, the systematic use of an emergency care voucher for any newborn hospitalized and the improvement in the working conditions of caregivers could explain the decline in neonatal mortality at DLH.</p></sec><sec id="s4_2"><title>4.2. Causes of Neonatal Mortality</title><p>The main causes of neonatal mortality were prematurity (37.8%), neonatal sepsis (34.1%) and neonatal asphyxia (24.4%). These results are similar to those found in most studies of neonatal mortality [<xref ref-type="bibr" rid="scirp.109731-ref6">6</xref>] - [<xref ref-type="bibr" rid="scirp.109731-ref11">11</xref>].</p><p>The high proportion of deaths linked to prematurity could be justified by predominance of very preterm babies in our sample. Indeed, newborns whose gestational age is less than 32 weeks are more likely to die due to the immaturity of most vital functions. Several studies have reported a high mortality rate in this group [<xref ref-type="bibr" rid="scirp.109731-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.109731-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.109731-ref13">13</xref>]. They are at risk of respiratory, infectious and hemodynamic complications. In a context of scarce resources, the Kangaroo method recommended by WHO could reduce the mortality rate of premature babies [<xref ref-type="bibr" rid="scirp.109731-ref14">14</xref>].</p><p>Neonatal sepsis was the second leading cause of death in our study. This result suggests the need to strengthen the screening and management of maternal infections in the 3rd trimester of pregnancy as well as hygiene protocols during labor. This result could also suggest the selection of germs resistant to the usual antibiotics. Hence the interest for each neonatal department to adapt antibiotic therapy to the local bacterial ecology, while reducing the pressure of germs’ selection through validated protocols.</p><p>Neonatal asphyxia was the third leading cause of death in our study. These deaths could be explained by the inadequate monitoring of pregnancy, the circumstances of childbirth, insufficient equipment and caregivers trained to handle neonatal resuscitation in our peripheral health structures. Nakibuuka et al. in Uganda reported a significant reduction in neonatal mortality after 3 training sessions in neonatal resuscitation and use of the partograph in Kampala [<xref ref-type="bibr" rid="scirp.109731-ref15">15</xref>]. It is therefore essential to ensure continuous training in neonatal resuscitation and the adequate equipment of birth rooms.</p><p>More than half of the deaths occurred during on-call hours (between 5 p.m. and 7 a.m.). Wang et al. in Shanghai made the same observation [<xref ref-type="bibr" rid="scirp.109731-ref16">16</xref>]. This situation could be explained by the absence of a sufficient number of qualified caregivers during the night, resulting in a decrease in the follow-up of newborns. The strengthening of on-call teams seems to be necessary.</p></sec><sec id="s4_3"><title>4.3. Factors Associated with Neonatal Mortality</title><p>Newborns whose mothers were in the informal sector and had a primary education had a significantly high risk of death. In an American study in California, university level was a protective factor [<xref ref-type="bibr" rid="scirp.109731-ref17">17</xref>]. This suggests that mothers with a low level of education have limited access to health care due to the financial means and are less aware of alarming signs.</p><p>Regarding obstetrical data, less than 4 antenatal visits and malaria during pregnancy increased the risk of neonatal death. This observation highlights the importance of high quality antenatal care for the well-being and survival of the newborn.</p><p>For newborns, cesarean section was a protective factor. This observation has also been made in California [<xref ref-type="bibr" rid="scirp.109731-ref17">17</xref>]. Our findings raise the question of timing and indications of cesarean section in our context assuming that this intervention should improve the prognosis of the mother and the child.</p><p>A gestational age less than 32 weeks increased the risk of death. Aguilera et al reported a high risk of death in preterm babies in Chile [<xref ref-type="bibr" rid="scirp.109731-ref18">18</xref>]. This is explained by the immaturity of these newborns and their high susceptibility to infections.</p></sec><sec id="s4_4"><title>4.4. Limitations of the Study</title><p>The burden of neonatal mortality in sub Saharan Africa is well known. Many interventions are made to improve survival of newborns in Cameroon. The retrospective view of this study did not allow us to observe care practices at real time and identify any delays at different levels of intervention. However, we were able to identify the causes and factors associated with neonatal mortality in the neonatal department of this tertiary care hospital.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>Our study found a reduction in neonatal mortality at Laquintinie Douala Hospital. Prematurity, neonatal sepsis and neonatal asphyxia remain the major causes of mortality in our context. Mothers in precarious situations, poor follow-up of antenatal care and very preterm birth are the risk factors for neonatal death. This highlights the importance of strengthening quality of care and improved training of health professionals for better survival of newborns.</p></sec><sec id="s6"><title>Acknowledgements</title><p>To the doctors and nurses of the neonatology department of Laquintinie Hospital in Douala.</p></sec><sec id="s7"><title>Authors’ Contribution</title><p>&#183; Conception and design: Calixte Ida Penda, Christelle Mpah Edimo, Danielle Kedy Koum, Koki Ndombo Olivier;</p><p>&#183; Acquisition of data: Christelle Mpah Edimo, Calixte Ida Penda, Eyoum Bill&#232; Bertrand;</p><p>&#183; Analysis and interpretation: Calixte Ida Penda, Eyoum Bill&#232; Bertrand, Ritha Mbono Betoko;</p><p>&#183; Drafting the article or revising: Calixte Ida Penda, Ritha Mbono Betoko, Charlotte Eposse, Essome Henri, Patricia Ep&#233;e Eboumbou;</p><p>&#183; Final approval of the version: all authors;</p><p>&#183; Agreement to be accountable for all aspects of the work: Calixte Ida Penda, Koki Ndombo Olivier.</p><p>All authors of the manuscript have read and agreed to its content and are accountable for all aspects of the accuracy and integrity of the manuscript.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Penda, C.I., Betoko, R.M., Koum, D.K., Henri, E., Eboumbou, P.E., Edimo, C.M., Bertrand, E.B., Eposse, C. and Ndombo, O.K. 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