Interpretable machine learning model for comparing and validating three diagnostic criteria for bronchopulmonary dysplasia in predicting value of respiratory prognosis of preterm infants: a retrospective cohort study
Both the 2018 NICHD and 2019 NRN criteria for BPD show better and similar predictive values for respiratory adverse outcomes in preterm infants, and both are superior to the 2001 NICHD criteria. The top two factors affecting the respiratory prognosis of preterm infants are the severity of BPD and early invasive mechanical ventilation.
Authors
- Xin Wang (ORCID: https://orcid.org/0009-0007-5146-2570)
- Wenqing Kang
- Caijun Wang
- Yanmei Zhao
- Qingcui Bu (ORCID: https://orcid.org/0000-0001-5238-3988)
- Yingyuan Wang (ORCID: https://orcid.org/0009-0006-0967-1275)
- Guiying Sun (ORCID: https://orcid.org/0000-0002-6717-7228)
- Rui Li (ORCID: https://orcid.org/0000-0001-5480-8089)
- Yanyan Wu
Institutions
- Zhengzhou Children's Hospital (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-11-25
- DOI
- https://doi.org/10.3389/fped.2025.1678244
- Primary Topic
- Neonatal Respiratory Health Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00