Literature DB >> 19109825

Development and validation of a model for prediction of mortality in patients with acute burn injury.

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Abstract

BACKGROUND: The objective was to develop a user-friendly model to predict the probability of death from acute burns soon after injury, based on burned surface area, age and presence of inhalation injury.
METHODS: This population-based cohort study included all burned patients admitted to one of the six Belgian burn centres. Data from 1999 to 2003 (5246 patients) were used to develop a mortality prediction model, and data from 2004 (981 patients) were used for validation.
RESULTS: Mortality in the derivation cohort was 4.6 per cent. A mortality score (0-10 points) was devised: 0-4 points according to the percentage of burned surface area (less than 20, 20-39, 40-59, 60-79 or at least 80 per cent), 0-3 points according to age (under 50, 50-64, 65-79 or at least 80 years) and 3 points for the presence of an inhalation injury. Mortality in the validation cohort was 4.3 per cent. The model predicted 40 deaths, and 42 deaths were observed (P = 0.950). Receiver-operator characteristic curve analysis of the model for prediction of mortality demonstrated an area under the curve of 0.94 (95 per cent confidence interval 0.90 to 0.97).
CONCLUSION: An accurate model was developed to predict the probability of death from acute burn injury based on simple and objective clinical criteria. Copyright (c) 2008 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.

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Mesh:

Year:  2009        PMID: 19109825     DOI: 10.1002/bjs.6329

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  56 in total

Review 1.  Outcome of acute kidney injury in severe burns: a systematic review and meta-analysis.

Authors:  Nele Brusselaers; Stan Monstrey; Kirsten Colpaert; Johan Decruyenaere; Stijn I Blot; Eric A J Hoste
Journal:  Intensive Care Med       Date:  2010-03-24       Impact factor: 17.440

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.  Response to the comment of Brusselaers et al. questioning the clinical benefit of circulating free DNA/neutrophil extracellular traps (cfDNA/NETs) as a laboratory marker for outcome prediction after severe burn injuries.

Authors:  T Lögters; J Altrichter
Journal:  Eur J Trauma Emerg Surg       Date:  2011-06-11       Impact factor: 3.693

4.  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

5.  Factors at scene and in transfer related to the development of hypothermia in major burns.

Authors:  J E Steele; J L Atkins; M P Vizcaychipi
Journal:  Ann Burns Fire Disasters       Date:  2016-06-30

6.  The Predictive Capacity of American Society of Anesthesiologists Physical Status (ASA PS) Score in Burn Patients.

Authors:  Katherine J Choi; Christopher H Pham; Zachary J Collier; Melissa Mert; Ryan K Ota; Ruibei Li; Haig A Yenikomshian; Mandeep Singh; T Justin Gillenwater; Catherine M Kuza
Journal:  J Burn Care Res       Date:  2020-07-03       Impact factor: 1.845

7.  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

8.  A competing risk analysis for hospital length of stay in patients with burns.

Authors:  Sandra L Taylor; Soman Sen; David G Greenhalgh; MaryBeth Lawless; Terese Curri; Tina L Palmieri
Journal:  JAMA Surg       Date:  2015-05       Impact factor: 14.766

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.  Evidence for simvastatin anti-inflammatory actions based on quantitative analyses of NETosis and other inflammation/oxidation markers.

Authors:  Walid M Al-Ghoul; Margarita S Kim; Nadeem Fazal; Anser C Azim; Ashraf Ali
Journal:  Results Immunol       Date:  2014-03-25
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