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Bronchopulmonary dysplasia: effect of altitude correction and role for the Neonatal Research Network Prediction Algorithm

Journal of Perinatology volume 38, pages 1046–1050 (2018)Cite this article

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Abstract

Objective

To determine the effect of altitude correction on bronchopulmonary dysplasia (BPD) rates and to assess validity of the NICHD “Neonatal BPD Outcome Estimator” for predicting BPD with and without altitude correction.

Subjects

Retrospective analysis included neonates born <30 weeks gestational age (GA) between 2010 and 2016. “Effective” FiO2 requirements were determined at 36 weeks corrected GA. Altitude correction performed via ratio of barometric pressure (BP) in our unit to sea level BP. Probability of death and/or moderate-to-severe BPD was calculated using the NICHD BPD Outcome Estimator.

Results

Five hundred and sixty-one infants were included. Rate of moderate-to-severe BPD decreased from 71 to 40% following altitude correction. Receiver-operating characteristic curves indicated high predictability of BPD Outcome Estimator for altitude-corrected moderate-to-severe BPD diagnosis.

Conclusion

Correction for altitude reduced moderate-to-severe BPD rate by almost 50%, to a rate consistent with recent published values. NICHD BPD Outcome Estimator is a valid tool for predicting the risk of moderate-to-severe BPD following altitude correction.

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Author contributions

KG and BAY contributed to the conception and design of the study, data collection and analysis, and manuscript preparation. Both authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

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Authors and Affiliations

  1. Division of Neonatology, University of Utah, Salt Lake City, UT, USA

    Kristina Gulliver & Bradley A. Yoder

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  1. Kristina Gulliver
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  2. Bradley A. Yoder
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Correspondence to Kristina Gulliver.

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The authors declare that they have no conflict of interest.

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Gulliver, K., Yoder, B.A. Bronchopulmonary dysplasia: effect of altitude correction and role for the Neonatal Research Network Prediction Algorithm. J Perinatol 38, 1046–1050 (2018). https://doi.org/10.1038/s41372-018-0113-z

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  • DOI: https://doi.org/10.1038/s41372-018-0113-z

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