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DETERMINING THE MATERNAL CHARACTERISTICS THAT PREDICTS THE ADVERSE OUTCOMES FOR PATIENTS WITH PREECLAMPSIA

BACKGROUND: Preeclampsia is a major cause of maternal morbidity and mortality worldwide. Despite the advances made in the field of obstretics, the ability to predict maternal and neonatal outcome in pregnant women with preeclampsia remains under developed. OBJECTIVE: To determine the clinical characteristics that could be used as a prognostic tool that would aid in clinical assessments and interventions, which in turn will reduce the rate of mortality in pregnant women with preeclampsia. METHODS: This nested case control study enrolled 40 subjects diagnosed clinically with pre-eclampsia. Using logistic regression, we determined the cilinical characteristics that could be used as a prognostic tool. RESULTS: Maternal and gestational age were strong predictors that indicate poor prognosis in severe patients with preeclampsia at <37 weeks gestation. The scoring card models developed in this study had good calibration and discrimination value with a p > 0.05 and AUC 0.850 (95% CI 0.732 to 0.969). Subjects with total scores of 0, 1, and 2 had 3.1%, 27.6%, and 80.6% poor prognosis, respectively. CONCLUSION: Maternal age and gestational age are strong predictors for poor clinical outcomes in patients with preeclampsia.