Literature DB >> 18784578

The FLAMES score accurately predicts mortality risk in burn patients.

Manuel Gomez1, David T Wong, Thomas E Stewart, Donald A Redelmeier, Joel S Fish.   

Abstract

BACKGROUND: The purposes of this study were to determine current mortality predictors in our thermally injured population, to develop and validate a new mortality predictive score, and to compare its predictive ability with those of the acute physiology and chronic health evaluation II (APACHE II) score, multiple organ dysfunction (MOD) score, and two burn-specific mortality predictive scores.
METHODS: A retrospective chart review of acute thermally injured (flame or scald) patients admitted during a 12-year period (1991-2003) to an adult regional burn center was performed. Patients admitted between January 1991 and February 1995 (derivation population) were included in the development of a mortality risk predictive score along with the patient's APACHE II score, MOD score, Smith's score, and the Age-Risk score. The new mortality risk predictive score was validated in a separate group of thermally injured patients (validation population) admitted to the same burn center between March 1995 and December 2003.
RESULTS: Of 1,439 acute thermally injured patients admitted between 1991 and 2003, 96 (7%) were excluded because they received comfort measures only. Of the remaining 1,343 patients, 378 (28%) were included in the mortality risk score derivation, and 965 (72%) in its validation. In the derivation group, there were 260 (69%) flame burns and 118 (31%) scald burns, and 35 (9%) patients died in hospital. Increased age, day 1 APACHE II score, percent partial-thickness burn, percent full-thickness burn, and sex were the strongest predictors of mortality. With these factors, we developed the FLAMES score (Fatality by Longevity, APACHE II score, Measured Extent of burn, and Sex), which had an area under the receiver operating characteristic curve of 0.97 that was better (p < 0.001) than those of the APACHE II score (0.91), MOD score (0.89), Smith's score (0.93), and the Age-Risk score (0.94). The FLAMES score was tested in the validation population and the area under the receiver operating characteristic curve = 0.93 was better (p < 0.001) than those of the APACHE II score (0.83), Smith's score (0.91), and the Age-Risk score (0.72).
CONCLUSION: The ability of the FLAMES score in predicting hospital mortality risk was validated in a regional burn center population.

Entities:  

Mesh:

Year:  2008        PMID: 18784578     DOI: 10.1097/TA.0b013e3181840c6d

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  21 in total

1.  Applicability of new supervised statistical models to assess burn injury patterns, outcomes, and their interrelationship.

Authors:  H Sadeghi-Bazargani; S I Bangdiwala; R Mohmmadi
Journal:  Ann Burns Fire Disasters       Date:  2011-12-31

2.  Outcome prediction in severe burn injury: clinical versus laboratory markers.

Authors:  N Brusselaers; S Monstrey; D Vogelaers; S Blot
Journal:  Eur J Trauma Emerg Surg       Date:  2011-06-11       Impact factor: 3.693

3.  Comparison of mortality prediction models and validation of SAPS II in critically ill burns patients.

Authors:  O Pantet; M Faouzi; N Brusselaers; A Vernay; M M Berger
Journal:  Ann Burns Fire Disasters       Date:  2016-06-30

4.  Predicting mortality from burns: the need for age-group specific models.

Authors:  Sandra L Taylor; MaryBeth Lawless; Terese Curri; Soman Sen; David G Greenhalgh; Tina L Palmieri
Journal:  Burns       Date:  2014-05-17       Impact factor: 2.744

5.  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

6.  Proteomics improves the prediction of burns mortality: results from regression spline modeling.

Authors:  Celeste C Finnerty; Hyunsu Ju; Heidi Spratt; Sundar Victor; Marc G Jeschke; Sachin Hegde; Suresh K Bhavnani; Bruce A Luxon; Allan R Brasier; David N Herndon
Journal:  Clin Transl Sci       Date:  2012-05-15       Impact factor: 4.689

7.  Sex-Based Differences in Inpatient Burn Mortality.

Authors:  Felicia N Williams; Paula D Strassle; Laquanda Knowlin; Sonia Napravnik; David van Duin; Anthony Charles; Rabia Nizamani; Samuel W Jones; Bruce A Cairns
Journal:  World J Surg       Date:  2019-12       Impact factor: 3.352

8.  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

9.  Work-related burn injuries in Ontario, Canada: A follow-up 10-year retrospective study.

Authors:  Elsa Clouatre; Manuel Gomez; Joanne M Banfield; Marc G Jeschke
Journal:  Burns       Date:  2013-01-22       Impact factor: 2.744

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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.