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Predictive Value of Maternal Risk Factors, Mean Arterial Blood Pressure and Haematocrit for Preeclampsia at the University of Benin Teaching Hospital, Nigeria


CJ Anya
OE Ehigiegba
RO Iweka
NO Enaruna
AB Ande

Abstract

ABSTRACT


Background: Preeclampsia (PE) presents a significant global health challenge, particularly impacting materno-foetal health in developing nations. It manifests as hypertension and significant proteinuria or evidence of organ dysfunction after 20 weeks gestation; in previously normotensive non-proteinuric women. This study aimed at assessing the value of combining maternal risk factors, mean arterial blood pressure and haematocrit in the predicting PE.


Methods: This was a prospective cohort study done at the University of Benin Teaching Hospital. Two-hundred and six pregnant women were recruited at <16 weeks gestation and followed up till delivery. Maternal risk factors, mean arterial blood pressure (MAP) and haematocrit were assessed. Primary outcome was development of pre-eclampsia. Data was analysed using SPSS version 25. The predictability of the parameters was established by determining their sensitivity, specificity and receiver operating characteristic curve.


Results: Incidence of pre-eclampsia was 22.1%. Independent predictors of pre-eclampsia were family history of hypertension and previous preeclampsia. A significant MAP of 87.4mmHg ± 9.7SD was found for the pre-eclamptics compared to 79.4mmHg ± 7.8SD in the normotensives. Significant mean haematocrits of 35.7% ± 3.6SD and 32.4% ± 2.6SD were also noted for pre-eclamptics and normotensives, respectively. Maternal risk factors, MAP and haematocrit had a sensitivity of 35.5%, 33.3% and 35.6%, respectively. Combining the three parameters was predictive of Pre-eclampsia at 55% sensitivity.


Conclusion: A high incidence of 22.1% buttresses the need for close surveillance. A combination of maternal risk factors, MAP and haematocrit may be helpful in screening and predicting pre-eclampsia as early as first trimester.


Journal Identifiers


eISSN: 3026-8273
print ISSN: 1596-6941