<?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">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2023.139125</article-id><article-id pub-id-type="publisher-id">OJOG-127594</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>
 
 
  Eclampsia: Epidemiological Aspects and Maternal and Foetal Prognosis at the University Teaching Hospital Centre (UTH) of Bouake
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Samaké</surname><given-names>Yaya</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>Menin-Messou</surname><given-names>Benie Michele</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>Djanhan</surname><given-names>Lydie Estelle</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>Akanji</surname><given-names>Iburaima Alamun</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>M’bro</surname><given-names>Clausen Georgie</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>Kouadio</surname><given-names>Kouadio Narcisse</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>Boko</surname><given-names>Dagoun Dagbesse Elysee</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>Camara</surname><given-names>Sokhona</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>Soro</surname><given-names>Dorcas Wassoholo</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>Gadji</surname><given-names>Claudia Michelle</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>Diakité</surname><given-names>Imourana Aminata</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>Yebouet</surname><given-names>N’Zibla Marie Ange</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>Daho</surname><given-names>Aboudramane</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>Doumbia</surname><given-names>Yacouba</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Mother and Child, Alassane Ouattara University, Bouaké, C&amp;amp;#244;te d’Ivoire</addr-line></aff><aff id="aff1"><addr-line>Department of Gynaecology-Obstetrics, Centre Hospitalier Universitaire de Bouaké, Bouaké, C&amp;amp;#244;te d’Ivoire</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>09</month><year>2023</year></pub-date><volume>13</volume><issue>09</issue><fpage>1498</fpage><lpage>1506</lpage><history><date date-type="received"><day>11,</day>	<month>August</month>	<year>2023</year></date><date date-type="rev-recd"><day>8,</day>	<month>September</month>	<year>2023</year>	</date><date date-type="accepted"><day>11,</day>	<month>September</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>
 
 
  Objective:
   To determine the epidemiology and maternal-fetal prognosis of eclampsia at Bouak&#233; University Teaching Hospital. <b>Material and Methods:</b> This was a prospective study with descriptive and analytical aims over a period from 01 January 2019 to 31 December 2021. It took place in the obstetrics and gynaecology department of the Bouak&#233; University Teaching Hospital. The inclusion criterion was any seizure in the gravid-puerperal
   
  period in the context of preeclampsia. Data were entered and analysed using EPI INFO software version 7.2.2.6. <b>Results:</b> We performed 20
  ,
  958 deliveries and recorded 241 cases of eclampsia, representing a prevalence of 1.14%. The ages of the participants ranged from 13 to 47 years with a mean age &#177; SD of 22 &#177; 7 years. The age group ≤ 19 years represented 45.64%
   
  of participants. Housewives accounted for 46.47%, and single women accounted for 54.77%
   
  of participants. The average parity &#177; SD was 1
   
  &#177; 1.6 with range of 0 to
   
  10, and nulliparous women accounted for 49.8% of participants. Patients who were evacuated accounted for 74.27% of our study population.
   
  The majority of eclampsia attacks occurred in the antepartum period (56.84%). The mean gestational age &#177; SD was 36 &#177; 3.6 weeks with a range of 24 to 42 weeks. The mode of delivery was caesarean section in 64.7% of cases. Maternal lethality was 7.88%. The factors associated with maternal mortality due to eclampsia were evacuation and parity of less than 3. Maternal morbidity was 16.6%. Neonatal lethality was 18.95%. The factor associated with neonatal death in eclampsia was prematurity. <b>Conclusion:</b> We need to detect and manage preeclampsia early and effectively to reduce the frequency of eclampsia and improve its maternal-foetal prognosis in our context.
 
</p></abstract><kwd-group><kwd>Maternal-Foetal Prognosis</kwd><kwd> Eclampsia</kwd><kwd> Bouak&#233;</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Every year, complications of pregnancy claim the lives of 303,000 women, and the causes of these deaths are the same throughout the world [<xref ref-type="bibr" rid="scirp.127594-ref1">1</xref>] . The World Health Organization (WHO) estimates that most maternal deaths are due to haemorrhage, infection, unsafe abortion and eclampsia [<xref ref-type="bibr" rid="scirp.127594-ref1">1</xref>] . Eclampsia is a serious neurological complication of preeclampsia (PE). It is defined by the presence of generalized convulsions and/or consciousness disorders. The frequency of this condition varies throughout the world, depending mainly on the country concerned but also on access to healthcare. In industrialized countries, the incidence is between 0.02% and 0.05% [<xref ref-type="bibr" rid="scirp.127594-ref2">2</xref>] . While the incidence is low in developed countries, it remains relatively high in developing countries, with rates of 6.15% in Mali [<xref ref-type="bibr" rid="scirp.127594-ref3">3</xref>] and 1.35% in Senegal [<xref ref-type="bibr" rid="scirp.127594-ref4">4</xref>] . In Ivory Coast, the prevalence was 5.70%, and mortality according to a study carried out in the intensive care unit of the Treichville University Hospital gave a maternal death rate of 27.6% [<xref ref-type="bibr" rid="scirp.127594-ref5">5</xref>] . Despite the seriousness of eclampsia, no work has been carried out on this condition in the obstetrics and gynaecology department of Bouak&#233; University Hospital, which prompted this study to determine the epidemiology and maternal-foetal prognosis of eclampsia at Bouak&#233; University Teaching Hospital.</p></sec><sec id="s2"><title>2. Material and Methods</title><sec id="s2_1"><title>2.1. Study Design and Setting</title><p>This is a cross-sectional prospective, descriptive and analytical study that took place over a period of thirty-six (36) months from the 1<sup>st</sup> of January 2019 to the 31<sup>st</sup> of December 2021. It took place in the Obstetrics and Gynaecology department of the Bouak&#233; University Teaching Hospital. The city of Bouak&#233; is located in the centre of Ivory Coast and is the second most populous city after Abidjan, with a general population estimated at 1,542,000 according to the MICS 2021 [<xref ref-type="bibr" rid="scirp.127594-ref6">6</xref>] . The city has a hospital and university centre, which is a tertiary-level hospital according to the country’s health pyramid. This centre has an Obstetrics and Gynaecology department, which provides medical and surgical care for gynaecological and obstetric pathologies. It is a referral service, receiving patients referred from general and peripheral hospitals in the town of Bouak&#233;, as well as from surrounding towns in the centre, north and west of the country. The maternity ward in the Gynaecology and Obstetrics department has 4 delivery cubicles, 6 post-natal beds and an operating theatre with two operating theatres. The daily team consists of a Gynaecologist Obstetrician, three medical doctors with a diploma in gynaecology and obstetrics, four midwives and two nurses.</p></sec><sec id="s2_2"><title>2.2. Study Population</title><p>The study population consisted of pregnant women, parturients and newborns admitted to the department. Sampling was exhaustive. All pregnant women and recent mothers admitted to the department presenting with a tonic-clonic seizure associated with systolic blood pressure greater than or equal to 140 mmHg and/or diastolic blood pressure greater than or equal to 90 mmHg associated with high proteinuria (greater than 0.30 g/24h) were included in the study. We did not include women with other causes of seizures during pregnancy not associated with the inclusion criteria, patients who had died and patients with hypertension without significant albuminuria.</p></sec><sec id="s2_3"><title>2.3. Data Collection and Analysis</title><p>The data sources were prenatal consultation books, delivery records and hospitalization records. The questionnaire was developed after reviewing different literatures. The variables studied were sociodemographic characteristics, the course of pregnancy and delivery, and neonatal parameters. The data were entered into a computer and analysed using EPI INFO software version 7.2.2.6 with the use of Chi-squared statistical tests for numbers ≥ 5 and Fisher for numbers &lt; 5 with α = 5%. The significant variables were of value less than p &lt; 0.05. Descriptive statistics were used to describe the characteristics of the study respondents by using means and standard deviations for numerical variables, frequencies along with percentages for categorical variables and table.</p></sec></sec><sec id="s3"><title>3. Results</title><p>Prevalence: During the study period, we performed 20,958 deliveries and recorded 241 cases of eclampsia, giving a prevalence rate of 1.14.</p><p>Sociodemographic characteristics: The ages of the participants ranged from 13 to 47 years with a mean age &#177; SD of 22 &#177; 7 years. The age group ≤ 19 years represented 45.64% of participants. Housewives accounted for 46.47%, and single women accounted for 54.77% of participants. The average parity &#177; SD was 1 &#177; 1.6 with range of 0 to 10. Nulliparous women accounted for half of those surveyed (49.8%). Evacuated patients represented 74.27% of our study population. The sociodemographic characteristics of the patients are detailed in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Variables related to clinical aspects: With regard to pregnancy monitoring, patients who had not undergone the minimum number of ANCs represented 64.31% of cases. The majority of eclampsia attacks occurred antepartumin 56.84% of cases, followed by postpartum in 40% of cases. The mean gestational age &#177; SD was 36 &#177; 3.6 weeks with a range of 24 to 42 weeks. The majority of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Frequency</th><th align="center" valign="middle" >percentage</th></tr></thead><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >≤19 years</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >45.64</td></tr><tr><td align="center" valign="middle" >20 - 34 years</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >49.38</td></tr><tr><td align="center" valign="middle" >≥35 years</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >4.98</td></tr><tr><td align="center" valign="middle" >Activity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >House wife</td><td align="center" valign="middle" >112</td><td align="center" valign="middle" >46.47</td></tr><tr><td align="center" valign="middle" >informal sector worker</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >21.16</td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >19.5</td></tr><tr><td align="center" valign="middle" >Unemployed</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >10.8</td></tr><tr><td align="center" valign="middle" >Civil servant</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >2.07</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >132</td><td align="center" valign="middle" >54.77</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >45.23</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 (0)</td><td align="center" valign="middle" >120</td><td align="center" valign="middle" >49.8</td></tr><tr><td align="center" valign="middle" >Primiparous (1)</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >31.12</td></tr><tr><td align="center" valign="middle" >Pauciparous (2 - 3)</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >9.54</td></tr><tr><td align="center" valign="middle" >Multiparous (4 - 5)</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >5.81</td></tr><tr><td align="center" valign="middle" >Grand multiparous ≥ 6</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >3.73</td></tr><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" >Evacuated</td><td align="center" valign="middle" >179</td><td align="center" valign="middle" >74.27</td></tr><tr><td align="center" valign="middle" >Referred</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >14.11</td></tr><tr><td align="center" valign="middle" >Brought by parents</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >11.62</td></tr></tbody></table></table-wrap><p>seizures (62.2%) occurred after 36 weeks of gestation. The route of delivery was an emergency caesarean section in 64.7% of cases, and the main indication for caesarean section was eclampsia in 60% of cases. The majority of patients (61%) came from towns near Bouak&#233;.</p><p>Variables related to maternal prognosis: During the study period, there were 19 maternal deaths, representing a case-fatality rate of 7.88%. The factors significantly associated with maternal mortality due to eclampsia were evacuation and parity of less than 3 (<xref ref-type="table" rid="table2">Table 2</xref>). Maternal morbidity due to eclampsia remained high in our study, at 16.6%. It was dominated by HELLP syndrome in 45% of cases, followed by persistent coma in 20% and haematological complications in 10%.</p><p>Variables related to neonatal prognosis: During the study period, neonatal case fatality was 18.95%. The factor associated with neonatal death in eclampsia was prematurity (<xref ref-type="table" rid="table3">Table 3</xref>). The Apgar score was poor (less than 7) at the first</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution according to factors associated with maternal lethality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Dead n (%)</th><th align="center" valign="middle" >Alive n (%)</th><th align="center" valign="middle" >p</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Evacuated/Referred</td><td align="center" valign="middle" >12 (63.16)</td><td align="center" valign="middle" >190 (85.59)</td><td align="center" valign="middle" >0.01</td></tr><tr><td align="center" valign="middle" >Brought in by parents</td><td align="center" valign="middle" >7 (36.84)</td><td align="center" valign="middle" >32 (14.41)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >19 (100)</td><td align="center" valign="middle" >222 (100)</td><td align="center" valign="middle" ></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></tr><tr><td align="center" valign="middle" >≤3</td><td align="center" valign="middle" >13 (68.42)</td><td align="center" valign="middle" >205 (92.34)</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >&gt;3</td><td align="center" valign="middle" >6 (31.58)</td><td align="center" valign="middle" >17 (7.66)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >19 (100)</td><td align="center" valign="middle" >222 (100)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Prenatal care</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;4</td><td align="center" valign="middle" >10 (52.63)</td><td align="center" valign="middle" >144 (64.86)</td><td align="center" valign="middle" >0.286</td></tr><tr><td align="center" valign="middle" >≥4</td><td align="center" valign="middle" >9 (47.37)</td><td align="center" valign="middle" >78 (35.14)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >19 (100)</td><td align="center" valign="middle" >222 (100)</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></tr><tr><td align="center" valign="middle" >&lt;35</td><td align="center" valign="middle" >5 (26.32)</td><td align="center" valign="middle" >43 (19.37)</td><td align="center" valign="middle" >0.467</td></tr><tr><td align="center" valign="middle" >≥35</td><td align="center" valign="middle" >14 (73.68)</td><td align="center" valign="middle" >179 (80.63)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >19 (100)</td><td align="center" valign="middle" >222 (100)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mode of delivery</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" >Caesarean section</td><td align="center" valign="middle" >11 (57.89)</td><td align="center" valign="middle" >141 (63.51)</td><td align="center" valign="middle" >0.674</td></tr><tr><td align="center" valign="middle" >Vaginal delivery</td><td align="center" valign="middle" >8 (42.11)</td><td align="center" valign="middle" >81 (36.49)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >19 (100)</td><td align="center" valign="middle" >222 (100)</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>minute in 73.03% and at the fifth minute in 63.5%. Sixty-five percent of newborns were transferred to the neonatal unit.</p></sec><sec id="s4"><title>4. Discussion</title><sec id="s4_1"><title>4.1. Prevalence</title><p>The prevalence of eclampsia observed in our study was 1.14%. This prevalence is higher than that observed by Vousden et al. in their study conducted in Uganda in 2019, which was 0.3% [<xref ref-type="bibr" rid="scirp.127594-ref7">7</xref>] . This is similar to that of Abdoul Aziz Diouf et al. in Senegal, who found a prevalence of 1.75% [<xref ref-type="bibr" rid="scirp.127594-ref4">4</xref>] , but lower than that of Horo et al. in Abidjan, who found a prevalence of 3.4% [<xref ref-type="bibr" rid="scirp.127594-ref8">8</xref>] . The high prevalence in our study can be explained by the fact that it was conducted in a referral centre that receives all cases of complicated pregnancy. The patients evacuated represented 74.27% of our study. In addition, the low rate of ANC coverage observed inwomen with eclampsiacould explain this prevalence. In our study, 64.31% of these women had fewer than or equal to 3ANCs, including 3.73% who had not undergone ANC. It has been clearly established in the literature that good-quality ANC improves maternal health by reducing the risk of anaemia, pregnancy-induced hypertensive disorders and preterm labour and improves the prognosis of the pregnancy.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution according to factors associated with neonatal lethality</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Dead n (%)</th><th align="center" valign="middle" >Alive n (%)</th><th align="center" valign="middle" >p</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><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Evacuated/Referred</td><td align="center" valign="middle" >34 (85)</td><td align="center" valign="middle" >168 (83.58)</td><td align="center" valign="middle" >0.824</td></tr><tr><td align="center" valign="middle" >Brought in by parents</td><td align="center" valign="middle" >6 (15)</td><td align="center" valign="middle" >33 (16.42)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >201 (100)</td><td align="center" valign="middle" ></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></tr><tr><td align="center" valign="middle" >≤3</td><td align="center" valign="middle" >33 (82.5)</td><td align="center" valign="middle" >185 (92.04)</td><td align="center" valign="middle" >0.06</td></tr><tr><td align="center" valign="middle" >&gt;3</td><td align="center" valign="middle" >7 (17.5)</td><td align="center" valign="middle" >16 (7966)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >201 (100)</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></tr><tr><td align="center" valign="middle" >&lt;34</td><td align="center" valign="middle" >9 (22.5)</td><td align="center" valign="middle" >19 (9.45)</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >≥34</td><td align="center" valign="middle" >31 (77.5)</td><td align="center" valign="middle" >182 (90.55)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >201 (100)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Delivery mode</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" >24 (60)</td><td align="center" valign="middle" >128 (63.68)</td><td align="center" valign="middle" >0.890</td></tr><tr><td align="center" valign="middle" >Vaginal delivery</td><td align="center" valign="middle" >16 (40)</td><td align="center" valign="middle" >73 (36.32)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >201 (100)</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></tr><tr><td align="center" valign="middle" >&lt;2500 g</td><td align="center" valign="middle" >26 (65)</td><td align="center" valign="middle" >87 (43.28)</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >≥2500 g</td><td align="center" valign="middle" >14 (35)</td><td align="center" valign="middle" >114 (56.72)</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >40 (100)</td><td align="center" valign="middle" >201</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></sec><sec id="s4_2"><title>4.2. Clinical and Epidemiological Characteristics</title><p>The mean age of the population was 22 &#177; 7 years (range from 13 to 47 years). The age group ≤ 19 years represented 45.64%. These results are consistent with previous epidemiological data in the literature. Several studies carried out in different countries have confirmed our observation, in particular those reported by Koffi and Bonkoungou [<xref ref-type="bibr" rid="scirp.127594-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.127594-ref10">10</xref>] . For parity, 49.8% of the women in our study were nulliparous. The occurrence of eclampsia in young nulliparous women is linked to certain factors, such as the failure of the maternal body to adapt to haemodynamic and renal changes and uterine hypoplasia, which is common in young pregnant women. During the study, 97.93% of patients had a low socioeconomic level. This observation had already been made by several studies in Africa, notably that of Bohoussou M. [<xref ref-type="bibr" rid="scirp.127594-ref11">11</xref>] on maternal mortality in Abidjan and Chalumeau M. [<xref ref-type="bibr" rid="scirp.127594-ref12">12</xref>] on maternal health in French-speaking Africa. Nevertheless, we believe that the lack of financial resources may indirectly influence the increase in the percentage of unrecognized preeclampsia, and then eclampsia, by creating the conditions for poor pregnancy monitoring associated with a weakened body. The 3rd edition of the Demographic and Health Survey (EDS) in the Ivory Coast [<xref ref-type="bibr" rid="scirp.127594-ref13">13</xref>] showed that 46.9% of women were single, compared with 27.2% who were married. The same observation was made in our study, which found that 54.77% of women were single.</p><p>Seizures occurred in both the antepartum (56.84%) and postpartum (40%) periods. Coulibaly KT et al. [<xref ref-type="bibr" rid="scirp.127594-ref14">14</xref>] and Samake et al. [<xref ref-type="bibr" rid="scirp.127594-ref15">15</xref>] found a predominance in the antepartum period (59.4% and 69%, respectively). Our results can be explained by the fact that the seizures that occurred most frequently in theante and postpartum periods are linked to the non-availability of magnesium sulfate for almost the entire duration of our study. Gestational age greater than 36 weeks accounted for 62.2% of our respondents, which corroborates the data in the literature. This trend was similar to those reported by Mamadou Ibrahima Kampo et al. in Senegal and Abdoul Aziz Diouf, who found 57% and 59.7%, respectively [<xref ref-type="bibr" rid="scirp.127594-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.127594-ref16">16</xref>] . These results can be explained by the fact that eclampsia most often occurs at the end of pregnancy, with a better fetal prognosis if the fetus is extracted quickly. The preferred mode of delivery in our study was caesarean section, with a percentage of approximately 64.7%. Our results are similar to those of Mamadou Ibrahima Kampo et al. and Abdoul Aziz Diouf et al., who found 77.6% and 54.8%, respectively [<xref ref-type="bibr" rid="scirp.127594-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.127594-ref16">16</xref>] . The high caesarean section rate in our series could be explained by the fact that the majority of patients were at term and had convulsed in the antepartum period, and rapid extraction is an integral part of the treatment of eclampsia. In addition, delayed uterine evacuation is accompanied by complications that can jeopardize the mother’s prognosis, which are difficult to manage due to our inadequate technical facilities.</p></sec><sec id="s4_3"><title>4.3. Variables Related to Maternal-Foetal Prognosis</title><p>Maternal lethality varies between 14% and 15.8% in developing countries [<xref ref-type="bibr" rid="scirp.127594-ref17">17</xref>] . In the studies by Mamadou Ibrahim Kampo et al. and Tchaou et al., 4.3% and 11.1%, respectively, died [<xref ref-type="bibr" rid="scirp.127594-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.127594-ref18">18</xref>] . Our case fatality rate (7.88%) is similar to that of African studies. This high case-fatality rate could be explained by the seriousness of complications such as HELLP syndrome (45%), which makes patient management difficult by clouding the prognosis and delaying admission. In addition, the delay in management and the delay in starting treatment are influenced by the late purchase of medicines by parents and the inadequacy of the technical facilities in intensive care. The factors associated with maternal lethality were parity of less than 3 and evacuation. However, Mamadou Ibrahima Kampo et al. did not find a statistically significant association between maternal lethality and parity and mode of admission but rather with the Glasgow score ≤ 8 on admission [<xref ref-type="bibr" rid="scirp.127594-ref16">16</xref>] . The most frequent complication was HELLP syndrome (45%). As reported in the literature, HELLP syndrome is a complication of pregnancy affecting 2% - 30% of women with preeclampsia [<xref ref-type="bibr" rid="scirp.127594-ref17">17</xref>] .</p><p>The neonatal case fatality rate was high in our study at 18.95%. This corroborates the data in the literature, which mentions that the foetal outcome was less favourable than the maternal outcome. This was the case in the series by Beye et al., who reported 42.8% [<xref ref-type="bibr" rid="scirp.127594-ref19">19</xref>] . The same result was observed in the study of Mamadou Ibrahima Kampo et al., with a percentage of 21.5% [<xref ref-type="bibr" rid="scirp.127594-ref16">16</xref>] . In our study, we noted a statistically significant association between neonatal lethality and prematurity. The same observation was made in the study by Abdoul Aziz Diallo et al. [<xref ref-type="bibr" rid="scirp.127594-ref4">4</xref>] , who found a statistically significant association between lethality and prematurity.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>Eclampsia is a serious and highly fatal condition for both the mother and foetus. It is most often the result of poor pregnancy management. We need to detect and manage preeclampsia early and effectively to reduce the frequency of eclampsia and improve its maternal-foetal prognosis in our context.</p></sec><sec id="s6"><title>Authors’ Contributions</title><p>All authors have read and approved the final version of the manuscript.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec><sec id="s8"><title>Cite this paper</title><p>Yaya, S., Michele, M.-M.B., Estelle, D.L., Alamun, A.I., Georgie, M.C., Narcisse, K.K., Elysee, B.D.D., Sokhona, C., Wassoholo, S.D., Michelle, G.C., Aminata, D.I., Ange, Y.N.M., Aboudramane, D. and Yacouba, D. (2023) Eclampsia: Epidemiological Aspects and Maternal and Foetal Prognosis at the University Teaching Hospital Centre (UTH) of Bouake. Open Journal of Obstetrics and Gynecology, 13, 1498-1506. https://doi.org/10.4236/ojog.2023.139125</p></sec><sec id="s9"><title>List of Abbreviations</title><p>WHO: World Health Organization, PE: Preeclampsia, MICS: Multiple Indicator Cluster Survey, ANC: Antenatal Consultation, HELLP: Hemolysis, Elevated Liver enzymes, Low Platelets.</p></sec></body><back><ref-list><title>References</title><ref id="scirp.127594-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Alkema, L., Chou, D., Hogan, D., Zhang, S., Moller, A.B., Gemmill, A., et al. (2016) Global, Regional, and National Levels and Trends in Maternal Mortality between 1990 and 2015, with Scenario-Based Projections to 2030: A Systematic Analysis by the UN Maternal Mortality Estimation Inter-Agency Group. 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