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Acta Biomedica Scientia

Volume 6, Issue 3, 2019
Mcmed International
Acta Biomedica Scientia
Issn
2348 - 215X (Print), 2348 - 2168 (Online)
Frequency
bi-annual
Email
editorabs@mcmed.us
Journal Home page
http://mcmed.us/journal/abs
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Abstract
Title
A PROGRAM ON OBSTETRIC POPULATION FOR PREDICTING PREECLAMPSIA DURING FIRST TRIMESTER
Author
Dr. Bhavya G
Email
Bhavya@gmail.com
keyword
Obstetric Population, Prediction preeclampsia, PAPP-A, CRL
Abstract
Prediction of preeclampsia (PE) in obstetric patients under standard clinical conditions is examined by testing an aneuploidy screening program during the first trimester. Over the period, 567 pregnant women at a tertiary hospital received aneuploidy screenings in their first trimester. The logistic regression model was developed based on maternal characteristics, the lengths of the crown and rump, the thickness of the nuchal translucency, pregnancy-associated plasma protein-A (PAPP-A) and free human chorionic gonadotropin beta subunits (free-hCG) and pregnancy-associated plasma protein-A (free-hCG), a logistic regression model was developed for PE. PE detection rates were 31.4%/34.57% for early onset (EO) and 29.5%/35.25% for late onset (LO), respectively, with a false-positive rate of 5/10%. However, free-hCG, CRL, and NT contributed significantly to decreased PAPP-A regardless of the type of PE. Both EO-PE and LO-PE clinical manifestations can be predicted based on maternal history and biomarkers found during the first trimester. Due to the lack of new markers currently used in aneuploidy screening programs, it is necessary to improve the models
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