Ophthalmic artery Doppler for pre-eclampsia prediction at the first trimester: a Bayesian survival-time model

Objective To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Place...

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Bibliographic Details
Published in:Journal of ultrasound 2023-03, Vol.26 (1), p.155-162
Main Authors: Kusuma, Raden Aditya, Nurdiati, Detty Siti, Al Fattah, Adly Nanda, Danukusumo, Didi, Abdullah, Sarini, Sini, Ivan
Format: Article
Language:English
Subjects:
Bayes Theorem
Bayesian analysis
Biomarkers
Female
Gestation
Growth factors
Humans
Infant, Newborn
Medicine
Medicine & Public Health
Ophthalmic Artery - chemistry
Ophthalmic Artery - diagnostic imaging
Original Paper
Placenta Growth Factor
Pre-Eclampsia - diagnostic imaging
Preeclampsia
Pregnancy
Pregnancy Trimester, First
Pulsatile Flow
Screening
Survival
Ultrasound
Veins & arteries
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Summary:Objective To develop a Bayesian survival-time model for the prediction of pre-eclampsia (PE) at the first trimester using a combination of established biomarkers including maternal characteristics and history, mean arterial pressure (MAP), uterine artery Doppler pulsatility index (UtA-PI), and Placental Growth Factor (PlGF)) with an ophthalmic artery Doppler peak ratio (PR) analysis. Methods The receiving operator curve (ROC) analysis was used to determine the area under the curve (AUC), detection rate (DR), and positive screening cut-off value of the model in predicting the occurrence of early-onset PE (
ISSN:1876-7931
1971-3495
1876-7931
DOI:10.1007/s40477-022-00697-w