Literature DB >> 9168081

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

R J Mullins1, N C Mann, D M Brand, B S Lenfesty.   

Abstract

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.

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Mesh:

Year:  1997        PMID: 9168081     DOI: 10.1016/s0002-9610(97)89581-5

Source DB:  PubMed          Journal:  Am J Surg        ISSN: 0002-9610            Impact factor:   2.565


  2 in total

1.  Hazard regression models of early mortality in trauma centers.

Authors:  David E Clark; Jing Qian; Robert J Winchell; Rebecca A Betensky
Journal:  J Am Coll Surg       Date:  2012-10-01       Impact factor: 6.113

2.  Concurrent prediction of hospital mortality and length of stay from risk factors on admission.

Authors:  David E Clark; Louise M Ryan
Journal:  Health Serv Res       Date:  2002-06       Impact factor: 3.402

  2 in total

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