PRISM score and factors predicting mortality of patients with respiratory failure in the pediatric intensive care unit

J Med Assoc Thai. 2001 Jun:84 Suppl 1:S68-75.

Abstract

A total of 96 patients with respiratory failure who required mechanical ventilation admitted to the PICU, Chulalongkorn Hospital from July 1998 to June 1999 were reviewed to evaluate the PRISM score for mortality prediction and to identify factors that might influence the outcome. The statistical difference in outcome between the 2 groups (survivors and non-survivors) were underlying diseases, age, maximum positive inspiratory pressure (PIP), maximum positive end expiratory pressure (PEEP), maximum fractional inspiratory oxygen (FiO2) and PRISM score (p < 0.05). However, based on the original logistic regression equation, the predicted mortality from PRISM score in our study was much lower than our actual mortality (2.4% vs 26.0%). The sensitivity and specificity of mortality predicted by PRISM score calculated at cut-off r = 0.0 (expected mortality = 50%) was 4 per cent and 97 per cent respectively. In conclusion, the original PRISM score underpredicted the mortality outcome in our patients with respiratory failure. This suggests that PRISM score is population dependent and should be modified before being used with our patients.

MeSH terms

  • Adolescent
  • Age Distribution
  • Child
  • Child, Preschool
  • Female
  • Hospital Mortality
  • Humans
  • Infant
  • Infant, Newborn
  • Intensive Care Units, Neonatal / statistics & numerical data*
  • Logistic Models
  • Male
  • Predictive Value of Tests
  • Probability
  • Respiration, Artificial / methods
  • Respiratory Distress Syndrome, Newborn / classification*
  • Respiratory Distress Syndrome, Newborn / diagnosis
  • Respiratory Distress Syndrome, Newborn / mortality*
  • Respiratory Distress Syndrome, Newborn / therapy
  • Respiratory Insufficiency / classification*
  • Respiratory Insufficiency / diagnosis
  • Respiratory Insufficiency / mortality*
  • Respiratory Insufficiency / therapy
  • Retrospective Studies
  • Risk Factors
  • Sensitivity and Specificity
  • Severity of Illness Index*
  • Sex Distribution
  • Survival Analysis*
  • Thailand