Early predictors of continuous positive airway pressure failure in preterm neonates

Venkatakrishna Kakkilaya, Sheron Wagner, Kate Louise M. Mangona, L. Steven Brown, Ihab Jubran, Henry He, Rashmin C. Savani, Vishal S. Kapadia

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

Objective: To develop a prediction model to identify infants admitted on continuous positive airway pressure (CPAP) requiring intubation within seventy-two hours of life (HOL). Study design: Infants born ≤29 weeks’ gestational age between 2013 and April 2018 were randomly assigned to either a modeling cohort (MC) or a validation cohort (VC) in a 2:1 ratio. Variables available within two HOL were compared between the CPAP failure group (CFG) and the CPAP success group (CSG). Results: Of the 189 infants in the MC, 50% failed CPAP. Compared to CSG, infants in the CFG had lower antenatal steroid exposure, birth weight, higher radiographic severe respiratory distress syndrome (RDS) and fraction of inspired oxygen (FiO2). A forward stepwise logistic regression modeling in both MC and VC showed that FiO2 >0.3 and radiographic severe RDS predicted CPAP failure. Conclusion: FiO2 >0.3 within two HOL and radiographic severe RDS predicts CPAP failure in preterm infants.

Original languageEnglish (US)
Pages (from-to)1081-1088
Number of pages8
JournalJournal of Perinatology
Volume39
Issue number8
DOIs
StatePublished - Aug 1 2019

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Obstetrics and Gynecology

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