Development and validation of a prediction model for bronchopulmonary dysplasia using respiratory severity score.

ABSTRACT:

Background

To develop and validate a prediction model for severe bronchopulmonary dysplasia (BPD) that integrates the respiratory severity (RS) score with early postnatal risk factors.

Methods

This retrospective cohort study included preterm infants born at less than 32 weeks gestation or with a birth weight of less than 1500 g, from Aichi Prefecture (training dataset) and Saitama Medical University (validation dataset) from April 1, 2016, to March 31, 2020. The primary outcome was severe BPD, defined as the use of home oxygen therapy or death due to BPD. We used classification and regression tree (CART) analysis to explore the relationship between outcomes and BPD risk factors in the training dataset.

Results

The incidence of severe BPD was 149 out of 2026 (7.3%) in

SUBMITTER: Kanzawa T 

PROVIDER: S-EPMC12454154 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature