Literature DB >> 23384617

Predicting survival in thermal injury: a systematic review of methodology of composite prediction models.

Amer Hussain1, Fouzia Choukairi2, Ken Dunn3.   

Abstract

BACKGROUND: The widespread use of mathematical models to predict mortality as an outcome in burn injury is limited by concerns regarding the accuracy of the predictions. This discrepancy in reported and actual model accuracy can be the result of lack of adherence to appropriate methodological standards for the construction of prediction models. AIM: We undertook a systematic review of the methodology of published mortality prediction models against methodological standards. The aim was to identify methodologically superior models for further evaluation and research into outcome prediction.
METHODS: Electronic searches were performed on MEDLINE, CINHAL, EMBASE, Web of Science(®), the Cochrane collection and a general web search was performed using Google(®). The searches were complemented by a manual search of the contents of leading burns journals. Methodology of the studies included in the review was evaluated against published standards for composite prediction models.
RESULTS: 45 studies reporting composite models specifically for predicting mortality in patients sustaining thermal injury between 1949 and 2010 were included in the review. Only 8 models fulfilled the published methodological standards for composite model construction and validation. These include Modified Baux Score, Abbreviated Burn Severity Index, Total Burn Surface Index and prediction models described by Coste et al., Ryan et al., McGwin et al., Galeiras et al. and Belgian Outcome of Burn Injury (BOBI) study group.
CONCLUSION: This review has demonstrated that although a variety of complex models for predicting mortality in thermal injury have been devised, only 8 models have been constructed using appropriate methodological standards. These models warrant further evaluation in independent patient populations and data sets to identify the ones best suited for outcome prediction and performance monitoring.
Copyright © 2012 Elsevier Ltd and ISBI. All rights reserved.

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Year:  2013        PMID: 23384617     DOI: 10.1016/j.burns.2012.12.010

Source DB:  PubMed          Journal:  Burns        ISSN: 0305-4179            Impact factor:   2.744


  22 in total

Review 1.  Poor methodological quality and reporting standards of systematic reviews in burn care management.

Authors:  Jason Wasiak; Zephanie Tyack; Robert Ware; Nicholas Goodwin; Clovis M Faggion
Journal:  Int Wound J       Date:  2016-12-18       Impact factor: 3.315

2.  Early leukocyte gene expression associated with age, burn size, and inhalation injury in severely burned adults.

Authors:  Ravi F Sood; Nicole S Gibran; Brett D Arnoldo; Richard L Gamelli; David N Herndon; Ronald G Tompkins
Journal:  J Trauma Acute Care Surg       Date:  2016-02       Impact factor: 3.313

3.  Seeing the forest beyond the trees: Predicting survival in burn patients with machine learning.

Authors:  Adrienne N Cobb; Witawat Daungjaiboon; Sarah A Brownlee; Anthony J Baldea; Arthur P Sanford; Michael M Mosier; Paul C Kuo
Journal:  Am J Surg       Date:  2017-11-07       Impact factor: 2.565

4.  Comparison of six outcome prediction models in an adult burn population in a developing country.

Authors:  S H Salehi; K As'adi; A Abbaszadeh-Kasbi; M S Isfeedvajani; N Khodaei
Journal:  Ann Burns Fire Disasters       Date:  2017-03-31

5.  Contemporary Burn Survival.

Authors:  Karel D Capek; Linda E Sousse; Gabriel Hundeshagen; Charles D Voigt; Oscar E Suman; Celeste C Finnerty; Kristofer Jennings; David N Herndon
Journal:  J Am Coll Surg       Date:  2018-03-09       Impact factor: 6.113

6.  Morbidity and survival probability in burn patients in modern burn care.

Authors:  Marc G Jeschke; Ruxandra Pinto; Robert Kraft; Avery B Nathens; Celeste C Finnerty; Richard L Gamelli; Nicole S Gibran; Matthew B Klein; Brett D Arnoldo; Ronald G Tompkins; David N Herndon
Journal:  Crit Care Med       Date:  2015-04       Impact factor: 7.598

7.  Risk Factors For Death And Prognosis Value Of Revised Baux Score For Burn Patients With Inhalation Injury.

Authors:  N N Lam; N T N Minh
Journal:  Ann Burns Fire Disasters       Date:  2022-03-31

8.  Nurse Staffing, the Clinical Work Environment, and Burn Patient Mortality.

Authors:  Amanda P Bettencourt; Matthew D McHugh; Douglas M Sloane; Linda H Aiken
Journal:  J Burn Care Res       Date:  2020-07-03       Impact factor: 1.845

9.  Prognosis value of revised Baux score among burn patients in developing country.

Authors:  Nguyen N Lam; Ngo T Hung; Ngo M Duc
Journal:  Int J Burns Trauma       Date:  2021-06-15

10.  A comparison of injury scoring systems in predicting burn mortality.

Authors:  B Halgas; C Bay; K Foster
Journal:  Ann Burns Fire Disasters       Date:  2018-06-30
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