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Estimation of mortality risk in chronically ventilated infants with bronchopulmonary dysplasia

D W Overstreet1, J C Jackson, G van Belle

  • 1University of Washington School of Medicine, Seattle.

Pediatrics
|December 1, 1991
PubMed

Insights

Bronchopulmonary dysplasia mortality in premature infants is predicted by mean airway pressure and bacterial sepsis in the first month. Later, mean airway pressure and fraction of inspired oxygen at 60 days predict mortality.

Area of Science:

  • Neonatal Medicine
  • Pediatric Pulmonology
  • Critical Care

Background:

  • Bronchopulmonary dysplasia (BPD) is a chronic lung disease affecting premature infants.
  • BPD often necessitates prolonged mechanical ventilation, posing a significant mortality risk.
  • Identifying early prognostic factors for BPD mortality is crucial for timely intervention.

Purpose of the Study:

  • To identify predictors of mortality at 1 and 2 months of age in neonates with BPD requiring mechanical ventilation.
  • To develop a predictive model for BPD-related mortality.

Main Methods:

  • Retrospective review of medical records for 144 neonates requiring mechanical ventilation for at least one month.
  • Logistic regression analysis to identify significant prognostic factors.
  • Development of predictive models using mean airway pressure (MAP) and bacterial sepsis (Bact), and later MAP and fraction of inspired oxygen (FIO2).

Main Results:

  • Mean airway pressure at 30 days (MAP30) and bacterial sepsis diagnosis (Bact 0-30) were significant predictors of mortality within the first month (P < .001 and P = .018).
  • A predictive formula was derived: chi = -6.510 + 0.4588 (MAP30) + 1.475 (Bact 0-30).
  • At 60 days, mean airway pressure (MAP60) and fraction of inspired oxygen (F60) were the best predictors of mortality, with chi = 7.668 + 0.2940 (MAP60) + 5.935 (F60).

Conclusions:

  • Early identification of mechanical ventilation parameters and sepsis is vital for predicting BPD mortality.
  • MAP and FIO2 at 60 days provide a strong basis for predicting later mortality in BPD patients.
  • These findings can aid in risk stratification and management strategies for premature infants with BPD.

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