Prediction and Prevention of Preeclampsia and Other Adverse Pregnancy Outcomes

PhDAim To assess current methods of prediction of adverse pregnancy outcomes, develop a prediction model and assess diet and life style in preventing preeclampsia. Methods Meta-analyses performed to assess the role of abnormal 1st trimester biomarker levels in predicting PE and the predictive accuracy of 2nd trimester UAD indices for stillbirth. A prospective observational study was performed to assess the efficacy of maternal characteristics, biomarkers, arteriography and UADs for predicting adverse pregnancy outcomes. Previously published 1st trimester PE prediction models were validated using data collected from the observational study. A systematic review on the effect of diet and life style based metabolic risk modifying interventions on PE was performed. Results The review of biomarkers found that abnormal levels were particularIy associated with early onset PE. The stillbirth review demonstrated a three-four fold increased risk of still birth with abnormal UAD. 1045 women were included for analysis in the prospective observational study. Our models’ detection rate (false positive rate of 15%) was 72% for PE; 48% PIH; 30 % SGA <10th centile; 57% SGA