Development and validation of a simplified risk prediction model for preterm birth: a prospective cohort study in rural Ethiopia.

ABSTRACT: Preterm birth is one of the most common obstetric complications in low- and middle-income countries, where access to advanced diagnostic tests and imaging is limited. Therefore, we developed and validated a simplified risk prediction tool to predict preterm birth based on easily applicable and routinely collected characteristics of pregnant women in the primary care setting. We used a logistic regression model to develop a model based on the data collected from 481 pregnant women. Model accuracy was evaluated through discrimination (measured by the area under the Receiver Operating Characteristic curve; AUC) and calibration (via calibration graphs and the Hosmer-Lemeshow goodness of fit test). Internal validation was performed using a bootstrapping technique. A simplified risk score was de

SUBMITTER: Kassahun EA 

PROVIDER: S-EPMC10901814 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature