Literature DB >> 8826992

Predicting mortality in adult burned patients: methodological aspects of the construction and validation of a composite ratio scale.

J Coste1, D Wasserman, A Venot.   

Abstract

This article describes the methodology of construction and validation of a composite measurement scale (CMS) to predict the risk of death for burned patients, with severity of burn considered as a continuous phenomenon. Three large data sets of burned patients hospitalized in France were analyzed. Logistic regression was used to construct a prognostic model, based on age and initial evaluation of total body surface area burned. The resulting model appears to be a valid clinical tool for predicting the risk of death. In addition, the devised CMS has satisfactory content and construct validity and reliability, and provides a high measurement level (logistic ratio level). Moreover, its simplicity of use (the score is integer based) is appropriate for the daily activities of burn unit physicians, emergency medical technicians, and public health professionals.

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Year:  1996        PMID: 8826992     DOI: 10.1016/0895-4356(96)00197-7

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  5 in total

1.  Burn mortality during 1982 to 1997 in Kuwait.

Authors:  R L Bang; P N Sharma; R K Gang; I E Ghoneim; M K Ebrahim
Journal:  Eur J Epidemiol       Date:  2000       Impact factor: 8.082

2.  Indoor fire in a nursing home: evaluation of the medical response to a mass casualty incident based on a standardized protocol.

Authors:  S W Koning; P M Ellerbroek; L P H Leenen
Journal:  Eur J Trauma Emerg Surg       Date:  2014-09-25       Impact factor: 3.693

Review 3.  Severe burn injury in Europe: a systematic review of the incidence, etiology, morbidity, and mortality.

Authors:  Nele Brusselaers; Stan Monstrey; Dirk Vogelaers; Eric Hoste; Stijn Blot
Journal:  Crit Care       Date:  2010-10-19       Impact factor: 9.097

4.  Hyperphosphatemia is associated with high mortality in severe burns.

Authors:  George Kuo; Cheng-Chia Lee; Shih-Yi Yang; Yen-Chang Hsiao; Shiow-Shuh Chuang; Su-Wei Chang; Kun-Hua Tu; Pei-Chun Fan; Ya-Chung Tian; Yung-Chang Chen; Chih-Hsiang Chang
Journal:  PLoS One       Date:  2018-01-09       Impact factor: 3.240

5.  Predicting Burn Mortality Using a Simple Novel Prediction Model.

Authors:  Sneha Sharma; Raman Tandon
Journal:  Indian J Plast Surg       Date:  2021-03-04
  5 in total

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