Risk factors and machine learning prediction models for bronchopulmonary dysplasia severity in the Chinese population.

ABSTRACT:

Background

Bronchopulmonary dysplasia (BPD) is a common chronic lung disease in extremely preterm neonates. The outcome and clinical burden vary dramatically according to severity. Although some prediction tools for BPD exist, they seldom pay attention to disease severity and are based on populations in developed countries. This study aimed to develop machine learning prediction models for BPD severity based on selected clinical factors in a Chinese population.

Methods

In this retrospective, single-center study, we included patients with a gestational age < 32 weeks who were diagnosed with BPD in our neonatal intensive care unit from 2016 to 2020. We collected their clinical information during the maternal, birth and early postnatal periods. Risk factors were selected throug

SUBMITTER: He W 

PROVIDER: S-EPMC10198877 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature