Considerations about the application of cardiopulmonary resuscitation (CPR) should include the expected probability of survival.
The survival probability after CPR may be more accurately estimated by the occurrence in time of the prearrest morbidity of patients.
To identify risk factors for poor survival after CPR in relation to the dynamics of prearrest morbidity.
Medical records of CPR patients were reviewed.
Prearrest morbidity was established by categorizing the medical diagnoses according to 3 functional time frames : before hospital admission, on hospital admission, and during hospital admission.
Indicators of poor survival after CPR were identified through a logistic regression model.
Included in the study were 553 CPR patients with a median age of 68 years (age range, 18-98 years) ; 21.7% survived to hospital discharge.
Independent indicators of poor outcome were an age of 70 years or older (odds ratio [OR]=0.6,95% confidence interval [CI]=0.4-0.9), stroke (OR=0.3,95% Cl=0.1-0.7) or renal failure (OR=0.3,95% CI=0.1-0.8) before hospital admission, and congestive heart failure during hospital admission (OR=0.4,95% Cl=0.2-0.9).
Indicators of good survival were angina pectoris before hospital admission (OR=2.1,95% CI=1.3-3.3) or ventricular dysrhythmia as the diagnosis on hospital admission (OR=11.0,95% CI=4.1-33.7).
Based on a logistic regression model, 17. (...)
Mots-clés Pascal : Cardiopulmonaire, Réanimation, Facteur risque, Morbidité, Délai, Arrêt cardiocirculatoire, Survie, Pronostic, Evaluation, Homme, Appareil respiratoire pathologie, Appareil circulatoire pathologie
Mots-clés Pascal anglais : Cardiopulmonary, Resuscitation, Risk factor, Morbidity, Time lag, Cardiocirculatory arrest, Survival, Prognosis, Evaluation, Human, Respiratory disease, Cardiovascular disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0271352
Code Inist : 002B27B02. Création : 16/11/1999.