%0 Journal Article
%T Predictive Factors for Pre-Eclampsia: A Case-Control Study in Two Hospitals in Yaounde
%A Junie Annick Metogo Ntsama
%A Ines Winnie Gouanfo
%A Claude Hector Mbia
%A Wilfried Loic Tatsipie
%A Pascal Mpono
%A Madye Ngo Dingom
%A Felix Essiben
%A Claude Cyrille Noa Ndoua
%J Open Journal of Obstetrics and Gynecology
%P 565-574
%@ 2160-8806
%D 2024
%I Scientific Research Publishing
%R 10.4236/ojog.2024.144050
%X <b>Introduction:</b> Pre-eclampsia is a major cause of maternal and prenatal morbidity and mortality, that complicates 2% to 8% of pregnancies worldwide. The aim of this study was to determine the predictive factors for pre-eclampsia in two hospitals in the city of Yaoundé. <b>Methods:</b> A case-control study was conducted at the Gynaecology & Obstetrics department of the Yaoundé Gynaeco-Obstetric and Paediatric Hospital (YGOPH) and the Main Maternity of the Yaoundé Central Hospital (MM-YCH) from February 1 to July 30, 2022. The cases were all pregnant women presenting with pre-eclampsia. The control group included pregnant women without pre-eclampsia. Descriptive statistics followed by logistic regression analyses were conducted with level of significance set at p-value < 0.05. Data were analysed using Epi info version 7.2.5.0 and SPSS version 23.0 software. <b>Results:</b> Included in the study were 33 cases and 132 controls, giving a total of 165 participants. The predictive factors for pre-eclampsia after multivariate analysis were: primiparity (aOR = 51.86, 95% CI: 3.01 - 1230.96, p = 0.045), duration of exposure to partner’s sperm < 3 months (aOR = 23.49, 95% CI: 1.04 - 532.01, p = 0.009), personal history of pre-eclampsia (aOR = 50.36, 95% CI: 2.06 - 1229.92, p = 0.007), and maternal history of pre-eclampsia (aOR = 6.73, 95% CI: 1.68 - 66.65, p = 0.006). <b>Conclusion:</b> The odds of pre-eclampsia increased with primiparity, duration of exposure to partner’s sperm < 3 months, personal history of pre-eclampsia and maternal history of pre-eclampsia. Recognition of these predictor factors would improve the ability to diagnose and monitor women likely to develop pre-eclampsia before the onset of disease for timely interventions.
%K Pre-Eclampsia
%K Predictive Factors
%K Yaound&amp
%K #233
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=132648