Unknown

Dataset Information

A risk prediction model of spontaneous miscarriage in women with threatened miscarriage: a prospective cohort study.


ABSTRACT:

Introduction

This study aims to develop a holistic risk prediction triage tool for women with threatened miscarriage by integrating clinical, biochemical, and radiological factors. Additionally, we aim to assess the performance of various models incorporating different factor combinations, adaptable for diverse resource settings.

Methods

This prospective cohort study included 1,080 women with single intrauterine pregnancies at 5-12 weeks' gestation presenting with threatened miscarriage at KK Women's and Children's Hospital, Singapore between October 2017 and May 2023. Multivariable logistic regression and risk-score models were developed using maternal age, nausea, prior miscarriages, serum progesterone, gestational age, and fetal heart activity. Model performance was asses

SUBMITTER: Ku CW 

PROVIDER: S-EPMC12644018 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature