Long-Term Mechanical Ventilation in Neonates: A 10-Year Overview and Predictive Model

Michaël Sauthier1,2, Nicolas Sauthier3, Krystale Bergeron Gallant1

  • 1Research Center of Sainte-Justine Hospital, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, QC, Canada.

Insights

Neonatal prolonged mechanical ventilation (NPMV) is a severe condition with high mortality and neurological impairment risks. Early identification of infants needing prolonged ventilation is possible using factors like PCO2 and gestational age.

Area of Science:

  • Neonatology
  • Pediatric Critical Care
  • Respiratory Medicine

Background:

  • Neonatal prolonged mechanical ventilation (NPMV) requires significant resources, yet patient outcomes remain poorly understood.
  • Understanding long-term respiratory, digestive, and neurological sequelae is crucial for this vulnerable population.

Purpose of the Study:

  • To describe the 18-month corrected age outcomes of infants undergoing NPMV.
  • To identify early predictors for identifying infants requiring ventilation for ≥125 days.

Main Methods:

  • Retrospective cohort study of infants born 2004-2013 requiring ≥21 days of respiratory support.
  • Utilized machine learning models (random forests, logistic regression, naive Bayes, XGBoost) for prediction.
  • Employed Monte Carlo cross-validation for model assessment.

Main Results:

  • 164 infants included; 29% mortality by 18 months corrected age.
  • At 18 months, 59% were free of respiratory support, 45% exclusively orally fed.
  • Random forests achieved moderate discrimination (AUC 0.65) for predicting ≥125 days ventilation, with PCO2, inspired O2, and gestational age being key predictors.
  • Infants ventilated ≥125 days had poorer respiratory weaning, lower oral feeding rates, and higher neurological impairment.

Conclusions:

  • NPMV is associated with significant mortality, neurological impairment, and feeding delays at 18 months corrected age.
  • Most survivors can be weaned from respiratory support.
  • Early identification of high-risk infants for prolonged ventilation is feasible using specific clinical parameters.

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