Prediction of death and prolonged mechanical ventilation in acute lung injury

Crit Care. 2007;11(3):R53. doi: 10.1186/cc5909.


Introduction: Prediction of death and prolonged mechanical ventilation is important in terms of projecting resource utilization and in establishing protocols for clinical studies of acute lung injury (ALI). We aimed to identify risk factors for a combined end-point of death and/or prolonged ventilator dependence and developed an ALI-specific prediction model.

Methods: In this retrospective analysis of three multicenter clinical studies, we identified predictors of death or ventilator dependence from variables prospectively recorded during the first three days of mechanical ventilation. After the prediction model was derived in an international cohort of patients with ALI, it was validated in two independent samples of patients enrolled in a clinical trial involving 17 academic centers and a North American population-based cohort.

Results: A combined end-point of death and/or ventilator dependence at 14 days or later occurred in 68% of patients in the international cohort, 60% of patients in the clinical trial, and 59% of patients in the population-based cohort. In the derivation cohort, a model based on age, oxygenation index on day 3, and cardiovascular failure on day 3 predicted death and/or ventilator dependence. The prediction model performed better in the clinical trial validation cohort (area under the receiver operating curve 0.81, 95% confidence interval 0.77 to 0.84) than in the population-based validation cohort (0.71, 95% confidence interval 0.65 to 0.76).

Conclusion: A model based on age and cardiopulmonary function three days after the intubation is able to predict, moderately well, a combined end-point of death and/or prolonged mechanical ventilation in patients with ALI.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Cohort Studies
  • Global Health
  • Humans
  • Logistic Models
  • Models, Theoretical
  • ROC Curve
  • Respiration, Artificial / statistics & numerical data*
  • Respiratory Distress Syndrome / mortality*
  • Respiratory Distress Syndrome / therapy*
  • Retrospective Studies
  • Risk Factors
  • Survival Analysis
  • Time Factors