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Current Hypertension Reviews

Editor-in-Chief

ISSN (Print): 1573-4021
ISSN (Online): 1875-6506

Research Article

Diagnostic Accuracy of Gestosis Score in Comparison to multi-marker Screening as a Predictor of Preeclampsia at 11-14 Weeks of Pregnancy: A Cohort Study

Author(s): Priya Khanijo, Ruchira Nautiyal, Mishu Mangla*, Rashmi Rajput and Manju Saini

Volume 19, Issue 3, 2023

Published on: 12 September, 2023

Page: [187 - 193] Pages: 7

DOI: 10.2174/1573402119666230803114504

Price: $65

Abstract

Background: Pre-eclampsia is a pregnancy-specific multisystemic disorder associated with adverse feto-maternal outcomes. Low-dose Aspirin therapy started in early pregnancy in high-risk women, has significantly reduced the chances of developing PE. Therefore, screening and identification of at-risk mothers are crucial. The present study was planned to study the predictive ability of gestosis score in predicting early-onset pre-eclampsia by comparing it with the multi-marker model.

Material and Methods: One hundred sixteen women, more than 19 years of age, with live singleton pregnancy at 11-13 weeks of gestation were recruited from the antenatal outpatient department and formed the study cohort. After a detailed history, screening for pre-eclampsia was performed both by multi-marker screening and by gestosis score. Diagnostic accuracy was compared for the two methods of screening.

Results: The incidence of pre-eclampsia in the present study cohort was 26.7%. The sensitivity of gestosis score >/= 3 was 84.38% (67.21-94.72) and specificity was 93.18% (85.75-97.46 %). The positive predictive value was 81.82% (67.2%-90.81%), and the negative predictive value was 94.25 (87.98 – 97.35%). The diagnostic accuracy of the gestosis score was 90.83%.

Conclusion: Gestosis scoring is a potential tool that can be used as a cost-effective screening method for pre-eclampsia at 11-14 weeks of gestation in low-resource settings. The sensitivity and negative predictive value of the gestosis score is comparable to multi-marker screening using maternal factors, MAP, Uterine artery PI, PAPP-A, and PlGF.

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