Algorithm of suboptimal health status, serum magnesium and calcium levels as a novel approach for prediction and identification of pregnant women likely to develop preeclampsia and adverse perinatal complications in a Ghanaian population
School of Medical and Health Sciences
Preeclampsia (PE) is among the leading cause of maternal and foetal morbidity and mortality associated with adverse perinatal complications. The most devastating are pregnant women who are yet to be diagnosed but complain of poor health-suboptimal health status (SHS). For the first time, we explored the usefulness of a SHS questionnaire-25 (SHSQ-25) along with serum magnesium and calcium levels for prediction and early identification of normotensive pregnant women who later develop PE and adverse perinatal outcome.