The objective of this study was to determine how well the Charlson index of comorbidity would predict mortality of critically ill patients ; and how the predictive ability of the index would compare with that of the comorbidity component (Chronic Health Points) of the APACHE II system.
This prospective cohort study included in its setting an intensive care unit (ICU) and intermediate ICU (IICU) in a teaching hospital.
Patients included a previously assembled inception cohort of 201 patients consecutively admitted to either unit, followed until death or discharge from the hospital, excluding patients admitted after coronary artery bypass grafting, for planned dialysis, or transferred to the IICU from another intensive care unit.
Main outcome measures were recorded as death in hospital versus survival at discharge.
For each patient we had prospectively obtained all data necessary to predict the probability of in-hospital death using the APACHE II system, and to classify comorbidity using the Charlson index.
The Charlson index had significant ability to discriminate between patients who would live and who would die (ROC curve area=0.67, SE=0.05).
The Chronic Health Points component of APACHE II had no significant discriminating ability (ROC area=0.57, SE=0.05), although the full APACHE II system was an excellent predictor (area=0.87, SE=0.04).
Logistic regression analyses suggested that the Charlson index could contribute significant (p=0. (...)
Mots-clés Pascal : Soin intensif, Homme, Pronostic, Association morbide, Survie, Hôpital, Prédiction, Méthode étude, Etude comparative
Mots-clés Pascal anglais : Intensive care, Human, Prognosis, Concomitant disease, Survival, Hospital, Prediction, Investigation method, Comparative study
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0400503
Code Inist : 002B30A11. Création : 10/04/1997.