Can we really predict the respiratory morbidity of preterm birth?

Avinash Kondiboyina¹, Samuel B Axford^{1

2

3}, David G Tingay^{4

5

6

7}

Affiliations

¹ Neonatal Research, Murdoch Children's Research Institute, Parkville, VIC, Australia.
² Department of Neonatal Medicine, The Royal Children's Hospital, Parkville, VIC, Australia.
³ Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.
⁴ Neonatal Research, Murdoch Children's Research Institute, Parkville, VIC, Australia. david.tingay@mcri.edu.au.
⁵ Department of Neonatal Medicine, The Royal Children's Hospital, Parkville, VIC, Australia. david.tingay@mcri.edu.au.
⁶ Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia. david.tingay@mcri.edu.au.
⁷ Department of Critical Care, University of Melbourne, Melbourne, VIC, Australia. david.tingay@mcri.edu.au.

PMID: 40102574
DOI: 10.1038/s41390-025-04012-1

Can we really predict the respiratory morbidity of preterm birth?

Avinash Kondiboyina et al. Pediatr Res. 2025.

. 2025 Mar 18.

doi: 10.1038/s41390-025-04012-1. Online ahead of print.

Authors

Avinash Kondiboyina¹, Samuel B Axford^{1

2

3}, David G Tingay^{4

5

6

7}

Affiliations

¹ Neonatal Research, Murdoch Children's Research Institute, Parkville, VIC, Australia.
² Department of Neonatal Medicine, The Royal Children's Hospital, Parkville, VIC, Australia.
³ Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia.
⁴ Neonatal Research, Murdoch Children's Research Institute, Parkville, VIC, Australia. david.tingay@mcri.edu.au.
⁵ Department of Neonatal Medicine, The Royal Children's Hospital, Parkville, VIC, Australia. david.tingay@mcri.edu.au.
⁶ Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia. david.tingay@mcri.edu.au.
⁷ Department of Critical Care, University of Melbourne, Melbourne, VIC, Australia. david.tingay@mcri.edu.au.

PMID: 40102574
DOI: 10.1038/s41390-025-04012-1

No abstract available

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Conflict of interest statement

Competing interests: D.G.T. is the Neonatal Pulmonology Section Editor for Pediatric Research. D.G.T. is also the principal investigator of a B.P.D. prediction and phenotyping study (the BLUEPRINT Study; ACTRN1262400085156). The authors have no other conflicts of interest.

References

1. Thebaud, B. et al. Bronchopulmonary dysplasia. Nat. Rev. Dis. Prim. 5, 78 (2019). - DOI - PubMed
1. Ciuffini, F., Robertson, C. F. & Tingay, D. G. How best to capture the respiratory consequences of prematurity? Eur. Respir. Rev. 27, 170108 (2018). - DOI - PubMed - PMC
1. Doyle, L. W., Mainzer, R. & Cheong, J. L. Y. Systemic postnatal corticosteroids, bronchopulmonary dysplasia, and survival free of cerebral palsy. JAMA Pediatr. 179, 65–72 (2025). - DOI - PubMed
1. Kanzawa, T. et al. Development and validation of a prediction model for bronchopulmonary dysplasia using respiratory severity score. Pediatr. Res. https://doi.org/10.1038/s41390-025-03862-z (2025). - DOI - PubMed
1. Onland, W. et al. Clinical prediction models for bronchopulmonary dysplasia: a systematic review and external validation study. BMC Pediatr. 13, 207 (2013). - DOI - PubMed - PMC

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Can we really predict the respiratory morbidity of preterm birth?

Affiliations

Can we really predict the respiratory morbidity of preterm birth?

Authors

Affiliations

Conflict of interest statement

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