PREDICTION OF PREECLAMPSIA BASED ON MATERNAL RISK FACTORS, MEAN ARTERIAL PRESSURE AND UTERINE ARTERY PULSATILITY INDEX AT FIRST TRIMESTER OF PREGNANCY: A FIRST DESCRIPTIVE OBSERVATIONAL STUDY FROM NORTHEAST INDIA.
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Keywords
Preeclampsia, First Trimester, Gestosis Scoring, Maternal Risk Factors, Mean Arterial Pressure, Uterine Artery Pulsatility Index
Abstract
Preeclampsia (PE) is a pregnancy disorder and a major factor associated with adverse maternal and neonatal outcomes, including death. Combining maternal risk factors (MF), mean arterial pressure (MAP), and uterine artery Doppler pulsatility index (UtA-PI) provides an effective screening for predicting preterm PE. This study sought to predict the PE based on MF, MAP, and UtA-PI at first trimester of pregnancy.
Methods: The research involves 80 pregnant women, all in their first trimester at 11-13+6 weeks. PE prediction was achieved using MF, MAP, and UtA Doppler measurements. Early trimester GS and ultrasound were performed using a SAMSUNG SonoAce R7 with a 3.5 MHz curvilinear probe.
Results: The PE was diagnosed in 22/80 (27.5%) women. Our study provides evidence that MF (p=0.018), an elevated MAP (p<0.00002), and UtA-PI (p<0.00001) are significant predictors of an increased risk of PE. A combination of MF, MAP, and mean UtA-PI proved to be a useful predictor tool for the detection of PE (p<0.00001). MF achieved a sensitivity of 95.45%, a specificity of 29.31%, and a detection rate of 26.25%. MAP produced a sensitivity of 63.64%, a specificity of 84.48%, and a detection rate of 17.50%. UtA-PI demonstrated a high specificity (96.55%), lower sensitivity (68.18%), leading to a detection rate of 18.75%.
Conclusion: The Integrated use of MF, MAP, and UtA Doppler information effectively identified a significant number of patients with preterm PE. Early detection of risk factors, strong screening methods, and regular monitoring are essential for accurately predicting PE and initiating preventive therapy promptly.
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Dr. Mampi Das
MS, Obstetrician and Gynaecologist, Department of Obstetrics and Gynaecology, Agartala Government Medical College, Agartala, Tripura, Pin-799006, India. [email protected]
Dr. Jahar Lal Baidya
MD, Professor, Department of Obstetrics and Gynaecology, Agartala Government Medical College, Agartala, Tripura, Pin-799006, India, [email protected]
Dr. Sumit Sukla Das
MS, Assistant Professor, Department of Obstetrics and Gynaecology, Agartala Government Medical College, Agartala, Tripura, Pin-799006, India, [email protected]
