Intermittent hypoxemia metrics enhance bronchopulmonary dysplasia severity predictions in extremely low gestational

Ananta Wadhwa1, Jack Chang2, Irina Prelipcean1

  • 1Department of Pediatrics, University of Rochester, Rochester, NY, USA.

Pediatric Research
|April 30, 2026
PubMed

Insights

Longer intermittent hypoxemia (IH) events correlate with worse bronchopulmonary dysplasia (BPD) severity in premature newborns. Including IH metrics in predictive models improves BPD severity forecasting.

Area of Science:

  • Neonatalogy
  • Respiratory Medicine
  • Pediatric Critical Care

Background:

  • Premature newborns frequently experience intermittent hypoxemia (IH) during hospitalization.
  • Bronchopulmonary Dysplasia (BPD) is a common complication in extremely preterm infants.
  • Predicting BPD severity in Extremely Low Gestational Age Newborns (ELGANs) is crucial for targeted interventions.

Purpose of the Study:

  • To investigate the association between IH event frequency and duration with BPD severity prediction in ELGANs.
  • To determine if IH metrics enhance existing BPD prediction models.

Main Methods:

  • Extracted data from an ELGAN repository (N=342) including vital signs.
  • Defined IH as SpO2 <85% for 10-300 seconds, recording frequency and duration.
  • Utilized multinomial regression models comparing BPD prediction with and without IH data at postnatal days 7, 14, and 28.

Main Results:

  • IH duration and time below target SpO2 increased with BPD severity (p<0.0001).
  • IH frequency did not significantly differ across BPD severity grades.
  • Models including IH duration improved Grade 2 BPD prediction at postnatal day 28 (AUROC 0.79).

Conclusions:

  • Worse BPD severity is associated with longer IH events in ELGANs.
  • Incorporating IH metrics into BPD prediction models improves early forecasting.
  • Bedside monitoring of IH can aid in distinguishing BPD endotypes earlier.
Abstract