Publications

Research outputs, reports, policy briefs and knowledge products from KIU scholars and partners.

2024 Faculty of Clinical Medicine and Dentistry EURASIAN EXPERIMENT JOURNAL OF BIOLOGICAL SCIENCES

Relationship Levels of Proteinuria and Adverse Perinatal Outcomes among Pre-Eclamptic Mothers Delivering at Fort Portal and Mubende Regional Referral Hospitals, Uganda

Muktar Abdi Yusuf, Hakizimana Theoneste, Fernando Perez Ramirez, Dayyabu Shehu, Abdinasir Abdi Ibrahim, Okurut Emmanual and Carlos Baptista

Pre-eclampsia, a complex pregnancy disorder, poses significant risks to maternal and fetal well-being. Proteinurialevels, and adverse perinatal outcomes among women with pre-eclamptic patients. A prospective cohort studyinvolving 288 pre-eclamptic women, those done we meticulously collected socio-demographic and obstetric data.Proteinuria levels were categorized (mild, moderate, severe, or massive), while adverse perinatal outcomes (lowApgar score at 5th minute, low birth weight, NICU admission, stillbirth, perinatal death) were assessed. Logisticregression determined associations, with significance set at p < 0.05. 51.74% faced adverse perinatal outcomes. thosewith mild proteinuria were 5.25 times more likely to experience adverse outcomes, 51.74 had adverse perinataloutcomes massive perineuria had 22.50 chance of getting adverse perinatal outcome, severe perineuria had 15.55times more likely to get adverse perinatal outcomes and massive perineuria waste adverse perinatal outcomes (p <0.001). This study underscores the pivotal role of proteinuria levels in shaping adverse perinatal outcomes in preeclampticwomen. The link between the severity of pre-eclampsia and ANC attendance with adverse outcomeshighlights the multifaceted nature of maternal and fetal health in this population. Tailored interventions, intensifiedANC, and robust risk stratification are imperative for enhancing the well-being of both mothers and newborns.Keywords: Pre-eclampsia, Proteinuria, Adverse Perinatal Outcomes, Antenatal Care (ANC), Logistic RegressionAnalysis