Pre-pregnancy or first-trimester risk scoring to identify women at high risk of preterm birth.

ABSTRACT: Objective To develop a pre-pregnancy or first-trimester risk score to identify women at high risk of preterm birth. Study design In this retrospective cohort analysis, the sample was drawn from California singleton livebirths from 2007 to 2012 with linked birth certificate and hospital discharge records. The dataset was divided into a training (2/3 of sample) and a testing (1/3 of sample) set for discovery and validation. Predictive models for preterm birth using pre-pregnancy or first-trimester maternal factors were developed using backward stepwise logistic regression on a training dataset. A risk score for preterm birth was created for each pregnancy using beta-coefficients for each maternal factor remaining in the final multivariable model. Risk score utility was replicated in a testin

SUBMITTER: Baer RJ 

PROVIDER: S-EPMC6697157 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature