logo BDSP

Base documentaire


Votre avis nous intéresse

Le réseau BDSP met en oeuvre un projet d'innovation et d'amélioration de ses services, dans le souci constant de proposer des contenus de qualité adaptés aux besoins des utilisateurs.

Identifier de nouvelles sources de financements est la condition nécessaire pour assurer la poursuite et la pérennité de cet outil unique qu'est la BDSP, tout en le faisant évoluer.

Pour définir un nouveau modèle économique, nous avons besoin de votre avis : merci de répondre à notre enquête (temps estimé : 5 minutes).

Participer maintenant
Participer plus tard J'ai déjà participé

  1. Specifications for calculation of risk-adjusted odds of death using trauma registry data.

    Article, Communication - En anglais

    North Pacific Surgical Association. Annual Meeting. Seattle, Washington (USA), 1996/11/08.

    BACKGROUND 

    Logistic regression models, with coefficients developed from normative populations, can be applied to a trauma registry cohort to predict the risk-adjusted frequency of death.

    Quality of care is judged based on differences between predicted and observed mortality frequency.

    The goal of these analyses was to determine if decedents who died in the emergency department had independent variables associated with risk of death identical to those who died after hospital admission.

    METHODS 

    This case-control study is based upon decedents in a trauma registry matched to survivors.

    Backward stepwise linear logistic regression models contained independent variables selected to reflect patients'status before treatment.

    RESULTS 

    Beta coefficients and independent variables selected for models of expired emergency department patients were different from those of hospital death patients.

    CONCLUSIONS 

    To achieve a more precise determination of risk-adjusted mortality for injured patients at a trauma center, two separate analyses are appropriate : death in emergency department and death after hospital admission.

    Mots-clés Pascal : Traumatisme, Registre, Valeur prédictive, Facteur risque, Evolution, Mort, Méthode, Etude statistique, Homme, Biomathématique

    Mots-clés Pascal anglais : Trauma, Register, Predictive value, Risk factor, Evolution, Death, Method, Statistical study, Human, Biomathematics

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

    Cote : 97-0331399

    Code Inist : 002B30A01A2. Création : 12/09/1997.