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.

11-14 weeks first-trimester screening gestosis score prediction preeclampsia screening screening for pre-eclampsia

Journal

Current hypertension reviews
ISSN: 1875-6506
Titre abrégé: Curr Hypertens Rev
Pays: United Arab Emirates
ID NLM: 101239891

Informations de publication

Date de publication:
03 Aug 2023
Historique:
received: 21 04 2023
revised: 08 06 2023
accepted: 05 07 2023
medline: 3 8 2023
pubmed: 3 8 2023
entrez: 3 8 2023
Statut: aheadofprint

Résumé

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. 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. 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%. 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.

Sections du résumé

BACKGROUND 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 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 37534787
pii: CHYR-EPUB-133357
doi: 10.2174/1573402119666230803114504
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Priya Khanijo (P)

Department of Obstetrics & Gynaecology, Himalayan Institute of Medical Sciences, Jolly Grant, Dehradun.

Ruchira Nautiyal (R)

Department of Obstetrics & Gynaecology, Himalayan Institute of Medical Sciences, Jolly Grant, Dehradun.

Mishu Mangla (M)

Department of Obstetrics & Gynaecology, All India Institute of Medical Sciences, Bibinagar, Hyderabad.

Rashmi Rajput (R)

Department of Obstetrics & Gynaecology, Himalayan Institute of Medical Sciences, Jolly Grant, Dehradun.

Manju Saini (M)

Department of Radiodiagnosis, Himalayan Institute of Medical Sciences, Jolly Grant, Dehradun.

Classifications MeSH