logo
ResearchBunny Logo
Predictive Model for Preeclampsia Combining sFlt-1, PlGF, NT-proBNP, and Uric Acid as Biomarkers

Medicine and Health

Predictive Model for Preeclampsia Combining sFlt-1, PlGF, NT-proBNP, and Uric Acid as Biomarkers

G. C, C. M, et al.

Discover how a groundbreaking machine-learning model developed by Garrido-Giménez et al. enhances the prediction of preterm preeclampsia using key biomarkers like sFlt-1/PlGF ratio, NT-proBNP, and uric acid, demonstrating improved predictive capabilities as delivery approaches.

00:00
00:00
Playback language: English
Abstract
This study externally validates a machine-learning model (MLM) for predicting preterm preeclampsia (PE) using sFlt-1/PlGF ratio, NT-proBNP, and uric acid. The MLM showed significantly better positive predictive value (PPV) and specificity than the sFlt-1/PlGF ratio alone, with slightly improved sensitivity and negative predictive value (NPV). The model's performance improved as the delivery date approached, particularly for early-preterm PE.
Publisher
J. Clin. Med.
Published On
Jan 05, 2023
Authors
Garrido-Giménez, C, Cruz-Lemini, M, Álvarez, F.V, Nan, M.N, Carretero, F, Fernández-Oliva, A, Mora, J, Sánchez-García, O, García-Osuna, Á, Alijotas-Reig, J
Tags
preterm preeclampsia
machine-learning model
sFlt-1/PlGF ratio
prediction
biomarkers
positive predictive value
specificity

Related Publications

Explore these studies to deepen your understanding of the subject.

A deep-learning model for predictive archaeology and archaeological community detection
Interdisciplinary Studies

A deep-learning model for predictive archaeology and archaeological community detection

A. Resler, R. Yeshurun, et al.

Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences
Psychology

Urinary exosomal microRNAs as predictive biomarkers for persistent psychotic-like experiences

Y. Tomita, K. Suzuki, et al.

Active coacervate droplets as a model for membraneless organelles and protocells
Chemistry

Active coacervate droplets as a model for membraneless organelles and protocells

C. Donau, F. Späth, et al.

Discovery and remodeling of *Vibrio natriegens* as a microbial platform for efficient formic acid biorefinery
Biology

Discovery and remodeling of *Vibrio natriegens* as a microbial platform for efficient formic acid biorefinery

J. Tian, W. Deng, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny