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  1. Predicting survival from out-of-hospital cardiac arrest : a graphic model.

    Article - En anglais

    Study objective

    To develop a graphic model that describes survival from sudden out-of-hospital cardiac arrest as a function of time intervals to critical prehospital interventions.

    Participants

    From a cardiac arrest surveillance system in place since 1976 in King County, Washington, we selected 1,667 cardiac arrest patients with a high likelihood of survival: they had underlying heart disease, were in ventricular fibrillation, and had arrested before arrival of emergency medical services (EMS) personnel.

    Methods

    For each patient, we obtained the time intervals from collapse to CPR, to first defibrillatory shock, and to initiation of advanced cardiac life support (ACLS).

    Mots-clés Pascal : Arrêt cardiocirculatoire, Période préhospitalière, Survie, Pronostic, Modélisation, Méthode graphique, SAMU, Homme, Etude statistique, Etats Unis, Amérique du Nord, Amérique, Appareil circulatoire pathologie, Cardiopathie, Epidémiologie, Réanimation

    Mots-clés Pascal anglais : Cardiocirculatory arrest, Prehospital period, Survival, Prognosis, Modeling, Graphic method, Emergency medical care unit, Human, Statistical study, United States, North America, America, Cardiovascular disease, Heart disease, Epidemiology, Resuscitation

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 94-0046121

    Code Inist : 002B27B01. Création : 199406.