Predicting pulmonary hypertension in infants with bronchopulmonary dysplasia
Using available clinical variables, we developed and validated predictive models that may identify infants most at risk for PH at two timepoints.
Authors
- Veeral N. Tolia (ORCID: https://orcid.org/0000-0002-6841-4862)
- Rishikesan Kamaleswaran (ORCID: https://orcid.org/0000-0001-8366-4811)
- Minghui Sun (ORCID: https://orcid.org/0009-0005-0497-4464)
- Benjamin Alan Goldstein (ORCID: https://orcid.org/0000-0001-5261-3632)
- Kanecia O Zimmerman
- Samuel Gentle
- Henry Foote
- Kevin D. Hill
- Rachel G. Greenberg
- Matthew M. Laughon
- Christoph P. Hornik
Institutions
- University of North Carolina at Chapel Hill (US)
- Duke University (US)
- Baylor University Medical Center (US)
- Yale University (US)
- Clinical Research Institute (US)
- Duke Medical Center (US)
- Duke University Hospital (US)
Publication Details
- Journal
- Journal of Perinatology
- Published
- 2026-02-16
- DOI
- https://doi.org/10.1038/s41372-026-02576-2
- Primary Topic
- Neonatal Respiratory Health Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development