<?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.2023.133049</article-id><article-id pub-id-type="publisher-id">OJPed-125237</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>
 
 
  Early Morbidity and Mortality in Neonates of Mothers with Sickle Cell Disease at the Borgou/Alibori Center Departmental Teaching Hospital in 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></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>Médétinmè</surname><given-names>Kpanidja Gérard</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>Mahublo</surname><given-names>Voduhe</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>Justin</surname><given-names>Chogou</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>Guedenon</surname><given-names>Romulus</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>Julien</surname><given-names>Didier Adedemy</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-group><aff id="aff2"><addr-line>National Training School for Senior Technicians in Public Health and Surveillance, University of Parakou, Parakou, Benin</addr-line></aff><aff id="aff1"><addr-line>Faculty of Medicine, Mother and Child Department, University of Parakou, Parakou, Benin</addr-line></aff><pub-date pub-type="epub"><day>08</day><month>05</month><year>2023</year></pub-date><volume>13</volume><issue>03</issue><fpage>437</fpage><lpage>449</lpage><history><date date-type="received"><day>10,</day>	<month>April</month>	<year>2023</year></date><date date-type="rev-recd"><day>27,</day>	<month>May</month>	<year>2023</year>	</date><date date-type="accepted"><day>30,</day>	<month>May</month>	<year>2023</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
  : Association of sickle cell disease and pregnancy is a risky situation for both the mother and neonate. <b>Objective</b>: To determine the early morbidity and mortality among neonates of mothers with sickle cell disease at Borgou/Alibori Center Departmental Teaching Hospital (CHUD B/A) in Benin. <b>Patients and Methods</b>: This was a descriptive and analytical observational study conducted at CHUD-B/A from January 1, 2015, to August 31, 2019. It included pregnant women with sickle cell disease who gave birth to a liveborn neonate at the term of at least 28 weeks of amenorrhea. Variables studied were sociodemographic, clinical, and evolutionary. Analysis of the factors associated with early death was also carried out with a significance threshold set at p &lt; 0.05. <b>Results</b>: Out of a total of 119 pregnant women, 95 neonates were recorded. Main morbidities were: prematurity and intrauterine growth restriction (49.5%); respiratory distress (40%), bacterial infection (30.5%), and perinatal asphyxia (21.1%). Early mortality rate was 8.4%.
   
  In bivariate analysis, the factors associated with early death were: parity (p &lt; 0.001), the severity of maternal anemia (p &lt; 0.008), birth weight under 1500
   
  g (p &lt; 0.002), the birth term under 32 weeks of amenorrhea (p &lt; 0.001), resuscitation for at least 5 minutes (p = 0.001). In multivariate analysis, resuscitation for at least 5 minutes (p = 0.007) was mainly associated with early death. <b>Conclusion</b>: One out of two neonates of mothers with sickle cell disease has a low birth weight. Early mortality is high due to perinatal asphyxia. Hence the multidisciplinary care of these mothers.
 
</p></abstract><kwd-group><kwd>Early</kwd><kwd> Morbidity</kwd><kwd> Mortality</kwd><kwd> Neonates</kwd><kwd> Mothers</kwd><kwd> Sickle Cell Disease</kwd><kwd> Benin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Sickle cell disease is the first and most widespread genetic disease in the world. It is characterized by the presence of abnormal hemoglobin (hemoglobin S) in red blood cells causing sickling, vaso-occlusion, and chronic hemolytic anemia. Three sickle cell syndromes are classically described: homozygosity SS and composite heterozygosity SC and Sβ thalassemia [<xref ref-type="bibr" rid="scirp.125237-ref1">1</xref>] . It is a growing public health problem with an increased risk of morbidity and mortality. Estimates suggest that each year, about 300,000 children are born with sickle cell disease and that number could reach 400,000 by 2050 [<xref ref-type="bibr" rid="scirp.125237-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref3">3</xref>] . The majority of patients are in Sub-Saharan Africa where the disease is often fatal before the age of 5 years [<xref ref-type="bibr" rid="scirp.125237-ref4">4</xref>] . Due to therapeutic progress, their survival has improved, allowing more and more pregnancies in women who are affected [<xref ref-type="bibr" rid="scirp.125237-ref5">5</xref>] . However, the association of pregnancy and sickle cell disease is a high-risk situation for the mother as well as the fetus and the neonate [<xref ref-type="bibr" rid="scirp.125237-ref6">6</xref>] . Fetal complications include, among others, growth restriction (IUGR), acute fetal distress, premature delivery, and increased perinatal mortality [<xref ref-type="bibr" rid="scirp.125237-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] . In Sub-Saharan Africa, the management of these pregnant women is a major challenge because the risk of complications is higher. The Republic of Benin, in West Africa, has a high prevalence of sickle cell disease. Although there are no precise data on the incidence of pregnancies in women with this condition, they are not by far as frequent since the prevalence of S gene carriers is around 25% [<xref ref-type="bibr" rid="scirp.125237-ref9">9</xref>] . A tiny number of these pregnant women have access to specialized care in the country. The Borgou/Alibori Center Departmental Teaching Hospital (CHUD B/A) is a reference hospital in northern Benin where the data about the morbidity, early mortality and factors associated to deaths in neonates of these pregnant women are not known. The objective of this study was to determine the early morbidity and mortality in neonates of mothers with sickle cell disease at Borgou/Alibori Center Departmental Teaching Hospital (CHUD B/A) at Parakou in northern Benin in order to improve their management.</p></sec><sec id="s2"><title>2. Patients and Methods</title><p>This was a descriptive and analytical observational study conducted in maternity and neonatology departments at the Borgou/Alibori Center Departmental Teaching Hospital (CHUD B/A) from January 1, 2015, to August 31, 2019.</p><p>All pregnant women with a major sickle cell syndrome (SS, SC, and Sβthal) meeting the following criteria were included:</p><p>- Whether or not you have followed your pregnancy at the CHUD-B/A maternity ward. As far as the place of pregnancy follow-up is concerned, there is a specialized center for the management of sickle cell patients: the Center for Integrated Medical Health Care of Infants and Pregnant Women with Sickle Cell Disease (CPMINFED), but pregnancies may have been also followed in other structures such as CHUD-B/A maternity or other public or private maternities in the city of Parakou and surroundings</p><p>- Having given birth at CHUD-B/A maternity ward after 28 weeks of amenorrhea (WA) and more than one live born neonate.</p><p>- Having a complete medical record means providing: general information about the pregnant woman, medical history related to sickle cell disease, gyneco-obstetrical history, information on the current pregnancy course, acute complications that occurred during pregnancy; information about the childbirth course.</p><p>- Having a complete medical record for the neonate includes information on the clinical condition of the neonate since birth, his anthropometric parameters, the morbidities presented, and his vital status before seven completed days of life.</p><p>Excluded from the study, were pregnant women with:</p><p>- Incomplete medical records and those of their neonates.</p><p>- Comorbidities: HIV infection, diabetes.</p><p>Pregnancy was considered well followed up when the pregnant woman had at least 8 quality prenatal consultations as recommended by WHO [<xref ref-type="bibr" rid="scirp.125237-ref10">10</xref>] .</p><p>Anemia among mothers was considered severe for a hemoglobin level below 7 g/dl according WHO criteria. Early neonatal death was defined as any death of a neonate with a gestational age of 28 WA and more, alive at birth and who died between 0 and 7 completed days of life. The neonatal mortality rate was the number of early neonatal deaths per thousand live births [<xref ref-type="bibr" rid="scirp.125237-ref11">11</xref>] .</p><p>The sampling consisted of an exhaustive census of pregnant women meeting our inclusion criteria. The dependent variables were the existence of morbidity and early neonatal death. The independent variables were sociodemographic, clinical, and evolutionary in neonates.</p><p>The early neonatal prognosis was good when the pregnancy resulted in the birth of a neonate of 28 WA and more, alive beyond seven completed days of life, and bad in the opposite case.</p><p>Data were entered and analyzed using Microsoft Excel 2013 software and Epi Info version 7.2. The significance threshold used was p (p-value) less than &lt;0.05. For the factors associated with early neonatal deaths, a bivariate analysis was performed followed by a multivariate analysis with logistic regression. To control the confounding factors and highlight the risk factors associated with poor early neonatal prognosis, the variables whose p-value &lt; 0.20 were included in the model. The protocol was submitted to the ethics committee of the University of Parakou and obtained its approval under the reference 0289/CLERB-UP/P/SP/R/SA.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Frequency of Sickle Cell Disease in Pregnant Women</title><p>From January 1, 2015,to August 31, 2019, 130 pregnant women with sickle cell disease out of a total of 10,087 pregnant women admitted at the maternity of CHUD-Borgou/Alibori were identified, i.e., a frequency of 1.3%. Among them, 11 had unusable medical records. As for the remaining 119 pregnant women, 24 were excluded due to: maternal death during pregnancy (2 cases), spontaneous miscarriage (2 cases), and stillbirth (20 cases). The 95 pregnant women meeting our inclusion criteria were carriers of a single pregnancy.</p><p>Thus, among 119 pregnant women, the pregnancy resulted in 95 live births of neonates or a live birth rate of 80%.</p></sec><sec id="s3_2"><title>3.2. Characteristics of Pregnant Women</title><p>The mean age of mothers was 27 &#177; 32 years with extremes of 16 and 41 years. Those aged between 25 and 30 years old were the most represented (43.2%). They were out of school (35.8%). Nulliparous women were the most represented with respectively 47.4% of cases. The SC-type phenotype was the most commonly encountered (75.8%) (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Distribution of pregnant women according to their socio-demographic characteristics, medical and obstetrical history (N = 95)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Age range (years)</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" >7</td><td align="center" valign="middle" >7.4</td></tr><tr><td align="center" valign="middle" >[20 - 25[</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >20.0</td></tr><tr><td align="center" valign="middle" >[25 - 30[</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >43.2</td></tr><tr><td align="center" valign="middle" >[30 - 35[</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.9</td></tr><tr><td align="center" valign="middle" >≥35</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >11.6</td></tr><tr><td align="center" valign="middle" >Level of education</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >None</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >35.8</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >24.2</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >29.5</td></tr><tr><td align="center" valign="middle" >Higher</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >10.5</td></tr><tr><td align="center" valign="middle" >Phenotype</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >SS</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >24.2</td></tr><tr><td align="center" valign="middle" >SC</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >75.8</td></tr><tr><td align="center" valign="middle" >Sβthal</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >47.4</td></tr><tr><td align="center" valign="middle" >Primiparous</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >25.2</td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >25.2</td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >2.2</td></tr></tbody></table></table-wrap></sec><sec id="s3_3"><title>3.3. Clinical and Evolutionary Characteristics of the Current Pregnancy</title><p>The main mode of admission to the maternity ward was a referral from a peripheral health facility for an acute complication related to sickle cell disease (52.6%). The pregnant women had carried out at least eight prenatal consultations in 15.8% of cases. Their pregnancies had been followed in private medical practice in 56.8% of cases. The main complications noted during pregnancy were: vaso-occlusive crisis (VOC) in 74% of cases, bacterial infections (40%) including mainly 92% of urinary tract infections, severe anemia (17%), gestational hypertension (11%), and eclampsia (8.4%). Intrauterine growth restriction affected 47 fetuses (49.5%) and premature rupture of membranes (PROM) was observed in 17.9% of cases. In 10.5% of cases, delivery was vaginal and by cesarean section (89.5%), of which 53.7% related to an obstetrical emergency (<xref ref-type="table" rid="table2">Table 2</xref>).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of pregnant women according to clinical and evolutionary characteristics of the pregnancy (N = 95)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Mode of admission</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Referral</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >52.6</td></tr><tr><td align="center" valign="middle" >Direct admission to the maternity</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >47.4</td></tr><tr><td align="center" valign="middle" >Number of prenatal consultations</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >&lt;8</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >16</td></tr><tr><td align="center" valign="middle" >≥8</td><td align="center" valign="middle" >80</td><td align="center" valign="middle" >84</td></tr><tr><td align="center" valign="middle" >Place of the pregnancy follow-up</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Maternity of CHUD-B/A</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >25.3</td></tr><tr><td align="center" valign="middle" >CPMINFED</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.9</td></tr><tr><td align="center" valign="middle" >Private maternity</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >56.8</td></tr><tr><td align="center" valign="middle" >Complications during pregnancy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Vaso-occlusive crisis</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >74</td></tr><tr><td align="center" valign="middle" >Severe Anemia</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >17</td></tr><tr><td align="center" valign="middle" >Gestational Hypertension</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >Eclampsia</td><td align="center" valign="middle" >08</td><td align="center" valign="middle" >8.4</td></tr><tr><td align="center" valign="middle" >Severe malaria</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >2.1</td></tr><tr><td align="center" valign="middle" >Maternal bacterial infection</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >40</td></tr><tr><td align="center" valign="middle" >Acute fetal asphyxia</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >12.6</td></tr><tr><td align="center" valign="middle" >Premature rupture of membranes</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >17.9</td></tr></tbody></table></table-wrap></sec><sec id="s3_4"><title>3.4. Characteristics of Neonates</title><p>Of these neonates, 89 of 95 were admitted to neonatology (93.6%). The sex ratio was 1.02. The average birth weight was 2474.316 &#177; 530.15 with extremes of 1100 g and 3900 g. The average birth size was 46.07 &#177; 4.18 cm with extremes of 27 and 52 cm. It was a premature birth in 49.5% of cases dominated by small prematurity (31.2%). Neonates with low birth weight (&lt;2500 g) were the most represented (54.7%) and hypotrophy affected 49.5% of them, including 97.8% with the severe form.</p></sec><sec id="s3_5"><title>3.5. Neonatal Morbidities</title><p>Neonatal pathologies were dominated by prematurity and intrauterine growth restriction in equal proportions (49.5%) followed by respiratory distress (40%), bacterial infections (30.5%), jaundice (26.3%), and perinatal asphyxia (21.1%).</p><p>Regarding perinatal asphyxia, 21 neonates had been resuscitated at birth (23.1%) with an average duration of resuscitation at 5.2 &#177; 3.4 minutes and the extremes of 2 and 31 minutes as illustrated in <xref ref-type="table" rid="table3">Table 3</xref>.</p></sec><sec id="s3_6"><title>3.6. Early Neonatal Mortality and Associated Factors</title><p>Early neonatal deaths occurred in 8 neonates (8.4%). The average age at death was 11 hours with extremes of 1 hour and 72 hours. Deaths occurred during the first two hours of life in 88% of cases (7/8). The main cause of death was perinatal asphyxia in 75% of cases (6/8). The other two deaths were related to bacterial infection and respiratory distress.</p><p>In bivariate analysis, the factors associated with death were: parity (p &lt; 0.001); admission by referral to the maternity ward (p &lt; 0.004), severe maternal anemia (p &lt; 0.008), birth weight under 1500 g (p &lt; 0.002), gestational age less than 32 weeks (p &lt; 0.001), resuscitation duration greater than or equal to 5 minutes (p = 0.001) (<xref ref-type="table" rid="table4">Table 4</xref>). Phenotype, place of follow-up of the pregnancy and number of prenatal visits were not statistically associated with the death of neonates. No neonatal deaths were recorded among pregnant women followed at CPMINFED.</p><p>In multivariate analysis, only a duration of resuscitation greater than or equal to 5 minutes (p = 0.007) was associated with death (<xref ref-type="table" rid="table5">Table 5</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Morbidities observed in neonates of mothers with sickle cell disease (N = 95)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Prematurity</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >49.7</td></tr><tr><td align="center" valign="middle" >Hypotrophy</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >49.7</td></tr><tr><td align="center" valign="middle" >Neonatal respiratory distress</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >40%</td></tr><tr><td align="center" valign="middle" >Neonatal bacterial infection</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >30.5</td></tr><tr><td align="center" valign="middle" >Neonatal jaundice</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >26.3</td></tr><tr><td align="center" valign="middle" >Perinatal asphyxia</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >21.1</td></tr><tr><td align="center" valign="middle" >Neonatal anemia</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >12.6</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Factors associated with early neonatal mortality in bivariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle"  rowspan="3"  >Total</th><th align="center" valign="middle"  colspan="4"  >Early Neonatal Death</th><th align="center" valign="middle"  rowspan="3"  >OR</th><th align="center" valign="middle"  rowspan="3"  >CI<sub>95%</sub></th><th align="center" valign="middle"  rowspan="3"  >P</th></tr></thead><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Yes</td><td align="center" valign="middle"  colspan="2"  >No</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >N</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >Phenotype</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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.075</td></tr><tr><td align="center" valign="middle" >SS</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >82.6</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >17.4</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" >SC</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >94.4</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5.6</td><td align="center" valign="middle" >0.279</td><td align="center" valign="middle" >0.063 - 1.222</td><td align="center" valign="middle" >0.075</td></tr><tr><td align="center" valign="middle" >Parity</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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >97.8</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >2.2</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" >Primiparous</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >79.2</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >20.8</td><td align="center" valign="middle" >11.57</td><td align="center" valign="middle" >1.26 - 10.91</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >95.8</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4.2</td><td align="center" valign="middle" >1.913</td><td align="center" valign="middle" >0.11 - 32.00</td><td align="center" valign="middle" >0.646</td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >02</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >50.0</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >1.45 - 1328.5</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >Mode of admission</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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.004</td></tr><tr><td align="center" valign="middle" >Referral</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >84.0</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16.0</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" >Direct to CHUD B/A maternity</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >100.0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >0.037</td></tr><tr><td align="center" valign="middle" >Severe maternal anemia</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" ></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" >16</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.008</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >94.9</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >5.06</td><td align="center" valign="middle" >0.160</td><td align="center" valign="middle" >0.035 - 0.727</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Gestational 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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" >&lt;32 WA</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >66.7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >28.6</td><td align="center" valign="middle" >2.262 - 363.178</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥32 WA</td><td align="center" valign="middle" >92</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.5</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >93.5</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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.002</td></tr><tr><td align="center" valign="middle" >&lt;1500 g</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >14.1</td><td align="center" valign="middle" >1.687 - 118.93</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≥1500 g</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >6.6</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >93.4</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" >Duration of resuscitation (minutes)</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" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >&lt;5</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >85.7</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" >≥5</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >86.7</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >14.3</td><td align="center" valign="middle" >0.027</td><td align="center" valign="middle" >0.002 - 0.0371</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Factors associated with early neonatal mortality in multivariate analysis</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >OR</th><th align="center" valign="middle" >CI 95%</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" >0.717</td><td align="center" valign="middle" >0.402 - 1.280</td><td align="center" valign="middle" >0.262</td></tr><tr><td align="center" valign="middle" >Severe maternal anemia</td><td align="center" valign="middle" >0.326</td><td align="center" valign="middle" >0.669 - 1.590</td><td align="center" valign="middle" >0.166</td></tr><tr><td align="center" valign="middle" >Gestational Age</td><td align="center" valign="middle" >0.042</td><td align="center" valign="middle" >0.000 - 5.077</td><td align="center" valign="middle" >0.195</td></tr><tr><td align="center" valign="middle" >Birth weight</td><td align="center" valign="middle" >3.863</td><td align="center" valign="middle" >0.099 - 150.264</td><td align="center" valign="middle" >0.469</td></tr><tr><td align="center" valign="middle" >Resuscitation ≥ 5 minutes</td><td align="center" valign="middle" >74.435</td><td align="center" valign="middle" >3.22 - 1717.85</td><td align="center" valign="middle" >0.007</td></tr></tbody></table></table-wrap></sec></sec><sec id="s4"><title>4. Discussion</title><p>Our study aimed to determine the early morbidity and mortality in neonates of mothers with sickle cell disease. We also identified some factors associated with early death. This work has some biases in the sense that, for a better evaluation of the associated factors, a comparative study with unaffected pregnant women would have been more relevant for a better assessment of the factors. However, our results remain valid.</p><p>In this study, the frequency of sickle cell disease in pregnant women was 1.3%. This frequency corroborates data in the literature with an average of 0.6% to 1.4% of pregnant women with sickle cell disease [<xref ref-type="bibr" rid="scirp.125237-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref13">13</xref>] . It is relatively low and could be explained by the poor survival of patients, especially in Sub-Saharan Africa where access to specialized care is limited with high mortality before the age of five [<xref ref-type="bibr" rid="scirp.125237-ref4">4</xref>] .</p><p>SC phenotype was predominant in our study (75.8%), similar to the results of Rahimy et al. in Cotonou (Benin) [<xref ref-type="bibr" rid="scirp.125237-ref9">9</xref>] . Indeed, heterozygotes SC have better survival than homozygotes SS because they have a less severe phenotype and a lower frequency of acute complications, especially during the first years of life. As a result, they reach childbearing age more easily. However, they also run a real risk during pregnancy [<xref ref-type="bibr" rid="scirp.125237-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref15">15</xref>] .</p><p>Neonatal morbidities were dominated in the present work by prematurity, intrauterine growth restriction in equal proportions, respiratory distress, neonatal bacterial infection, and perinatal asphyxia.</p><p>Indeed, 49.7% of prematurity was found in our study, similar to the results of Ugboma et al. in Nigeria and Costa et al. in Brazil [<xref ref-type="bibr" rid="scirp.125237-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref17">17</xref>] . On the other hand, Faye et al. in Senegal and Igala et al. in Gabon [<xref ref-type="bibr" rid="scirp.125237-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref19">19</xref>] had lower frequencies with respectively 11.8% and 21.6%. d’Almeida et al. in 2013 [<xref ref-type="bibr" rid="scirp.125237-ref20">20</xref>] at the same hospital as ours, observed 20.59% of prematurity in a study on perinatal morbidity and mortality in the general population. Our results are more than double those reported by this author in the general population. The incidence of prematurity is high in pregnant women affected by sickle cell disease with varying proportions depending on the studies between 11.8% and 75.4% in Sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.125237-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref21">21</xref>] . Boafar et al. in a meta-analysis noted that the risk of prematurity in these neonates was twice as high as in those of mothers without sickle cell disease [<xref ref-type="bibr" rid="scirp.125237-ref7">7</xref>] . The exact mechanism of this phenomenon is not yet clear, but increased production of prostaglandin has been implicated [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] . Other reasons are anemia, urinary tract infections, placenta previa, and pregnancy toxemia, which are more frequently reported in these pregnant women. In this work, bacterial infections were observed in 40% of pregnant women with 92% of urinary tract infections, as well as gestational hypertension and its complications (19.4%) and severe maternal anemia (17%). To these reasons could be added cesareans induced either for a maternal, obstetrical, or fetal complication, such as eclampsia, lack of progress in labor, acute fetal distress, or elective cesarean section because some practitioners consider childbirth of patients with sickle cell disease as a risky situation both for herself and for the fetus [<xref ref-type="bibr" rid="scirp.125237-ref22">22</xref>] . In our context, elective cesarean section is performed in pregnant women at 36 weeks. It only occurred in 34 pregnant women (36%) whereas the emergency one occurred in 54 pregnant women (57%).</p><p>Intrauterine growth restriction was observed in 49.7% of cases similar to the results of Nkwabong et al. in Cameroon [<xref ref-type="bibr" rid="scirp.125237-ref23">23</xref>] . Muganziyi et al. in Tanzania and Oppong et al. in Ghana found lower proportions with respectively 25.5% and 6.3% [<xref ref-type="bibr" rid="scirp.125237-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref24">24</xref>] . In the general population, d'Almeida et al. [<xref ref-type="bibr" rid="scirp.125237-ref20">20</xref>] reported 13.4% of intrauterine growth restriction. According to Oteng Ntim et al. [<xref ref-type="bibr" rid="scirp.125237-ref15">15</xref>] , homozygous sickle cell disease is associated with a risk of low birth weight, 4 times higher than in the general population. Pregnancy induces significant changes in patients with sickle cell disease such as increased metabolic needs, increased blood viscosity, and hypercoagulability, leading to an increased incidence of acute vaso-occlusive complications. This vaso-occlusion also occurs in the placenta, resulting in fibrosis, infarction, and villous necrosis, thereby causing impaired uteroplacental circulation and affecting the supply of nutrients to the growing fetus. The hypoxia and anemia observed in these pregnant women are also important factors that affect the growth of the fetus. Moreover, in low-income countries, other factors such as maternal malnutrition, and multiple pregnancies can contribute to that situation [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref26">26</xref>] . In our study, 54.7% of neonates had a low birth weight, i.e. more than one in two neonates; which exposes them to increased mortality in the neonatal period and long-term metabolic and cardiovascular diseases.</p><p>Respiratory distress represented 40% of morbidities. Natu et al. [<xref ref-type="bibr" rid="scirp.125237-ref27">27</xref>] in India found 15.1% of respiratory distress and 4.12% in the general population by d’Almeida [<xref ref-type="bibr" rid="scirp.125237-ref20">20</xref>] . The frequency of respiratory distress is high in these neonates [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref27">27</xref>] . It is the result of several factors including prematurity with all the respiratory complications it can induce: perinatal asphyxia and neonatal bacterial infection among others.</p><p>As for bacterial infection, it was observed in 30.5% of cases, similar to the results of Tsiba et al. in Congo Brazzaville [<xref ref-type="bibr" rid="scirp.125237-ref21">21</xref>] . d’Almeida et al. reported 25.6% of infection [<xref ref-type="bibr" rid="scirp.125237-ref20">20</xref>] . These neonatal infections are the consequence of maternal infections during pregnancy, especially those of the urinary tract. The main germs found in maternal urinary tract infections were Escherechia coli and Klebsiella pneumoniae, but in the neonate the diagnosis of infection was made on the basis of indirect biological signs because blood cultures were not available at the time of the study. And, the other bacteriological examinations did not allow isolation of a germ. These neonatals infections can also be explained by the poor follow-up of pregnancies in the pregnant women, which constitutes an obstacle to the early detection of maternal infections.</p><p>Perinatal asphyxia was also observed in 21.1% of cases in our work. Several authors have reported variable frequencies ranging between 6.7% and 34.6% [<xref ref-type="bibr" rid="scirp.125237-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref23">23</xref>] . Perinatal asphyxia is a frequent complication in these neonates. This is due to chronic fetal hypoxia, maternal and obstetrical complications such as infections, toxaemia of pregnancy, placenta previa, and severe anemia. As our study shows, most pregnant women had been admitted to the maternity ward after a referral because of a maternal or fetal complication, which could explain a higher risk of asphyxia.</p><p>Other morbidities such as neonatal jaundice and anemia have also been described in the literature with a higher frequency in neonates with sickle cell disease [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref27">27</xref>] .</p><p>The live birth rate was 80% in our series, similar to that observed by Nwafor et al. [<xref ref-type="bibr" rid="scirp.125237-ref22">22</xref>] in Nigeria, showing that on average, one in five pregnancies does not result in delivery after 28 weeks and more in sickle cell pregnancy in our context.</p><p>Early neonatal mortality was at 8.4% in our study, similar to the rate reported by Silva Pinto in Brazil [<xref ref-type="bibr" rid="scirp.125237-ref28">28</xref>] . Nwafor et al. in Nigeria and Leborgne et al. in Guadeloupe found lower rates with respectively 3% and 4.4% [<xref ref-type="bibr" rid="scirp.125237-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref29">29</xref>] . On the other hand, Nkwabong et al. in Cameroon and Tsiba et al. in Congo Brazzaville reported higher rates at 15.5% and 21.5% [<xref ref-type="bibr" rid="scirp.125237-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref23">23</xref>] . In the general population, d’Almeida et al. found a rate of 7.2% [<xref ref-type="bibr" rid="scirp.125237-ref20">20</xref>] . Early neonatal mortality remains high in neonates of mothers with sickle cell disease. This mortality results from maternal and fetal complications noted during pregnancy, in particular intrauterine growth restriction, fetal asphyxia, and prematurity [<xref ref-type="bibr" rid="scirp.125237-ref7">7</xref>] . Perinatal asphyxia was the main cause of death of these neonates in 75% of cases. This cause has been found by several authors [<xref ref-type="bibr" rid="scirp.125237-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.125237-ref23">23</xref>] .</p><p>But in our study about one in two neonates was born prematurely and had intrauterine growth restriction. In general, neonates of mothers with sickle cell disease are more exposed to the risk of prematurity, intrauterine growth restriction, and high early neonatal mortality. These results are not influenced by geographical or economic factors, because the same data are reported in low and high-income countries [<xref ref-type="bibr" rid="scirp.125237-ref7">7</xref>] . These morbid states expose them to increased mortality due to all their complications.</p><p>In bivariate analysis, the factors associated with death were: parity (p &lt; 0.001); mode of admission by referral to the maternity ward (p &lt; 0.004), severity of maternal anemia (p &lt; 0.008), birth weight less than 1500 g (p &lt; 0.002), gestational age under 32 weeks (p &lt; 0.001) and resuscitation duration greater than or equal to 5 minutes (p = 0.001). Indeed, multiparous mothers were 44 times more likely to have an early death of their neonate and primiparous mothers were 12 times more likely in our study. Similarly, those who had been referred from a peripheral health structure ran a greater risk of having an early death of their neonate as well as those with severe anemia. Neonates under 32 WA had 28 times more risk of death and those weighing less than 1500 g had fourteen times more risk of death. This is the consequence of complications related to very preterm neonates and low birth weight. Although there was no significant association between the place of pregnancy follow-up and early neonatal death, pregnant women who followed their pregnancy at the center for integrated medical care of infants and pregnant women with sickle cell disease (CPMINFED) had no neonatal death, demonstrating the importance of specialized follow-up. In multivariate analysis, resuscitation for at least five minutes was the main factor associated with death. Muganziyi et al. in Tanzania [<xref ref-type="bibr" rid="scirp.125237-ref5">5</xref>] observed a four times higher risk of perinatal asphyxia in neonates of mothers with sickle cell disease resuscitated for more than five minutes compared to those without sickle cell disease. Perinatal asphyxia worsens the early neonatal prognosis in neonates of mothers with sickle cell disease.</p></sec><sec id="s5"><title>5. Conclusion</title><p>More than one out of two neonates of mothers with sickle cell disease has a low birth weight. Early neonatal mortality is high with perinatal asphyxia as the main cause. It is important to revitalize the management policy for these pregnant women through early multidisciplinary follow-up to reduce these complications.</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., Mohamed, F.A., G&#233;rard, M.K., Voduhe, M., Chogou, J., Romulus, G., Adedemy, J.D. and Agossou, J. (2023) Early Morbidity and Mortality in Neonates of Mothers with Sickle Cell Disease at the Borgou/Alibori Center Departmental Teaching Hospital in Benin. 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