Literature DB >> 23887563

The Burns Evaluation and Mortality Study (BEAMS): predicting deaths in Australian and New Zealand burn patients admitted to intensive care with burns.

Edwina C Moore1, David V Pilcher, Michael J Bailey, Hugh Stephens, Heather Cleland.   

Abstract

BACKGROUND: An understanding of prognosis following burns is important. It alleviates patient and familial stress, provides a framework for better resource use, and facilitates benchmarking of performance between specialist centers.
METHODS: Data were collected from eight tertiary referral burns centers in Australia and New Zealand. Our aim was to identify factors independently associated with mortality to develop a mortality prediction model, which accurately quantifies the risk of death among adults with burns who require intensive care.
RESULTS: Between January 2005 and December 2011, 1,715 patients were admitted to intensive care unit with acute thermal burns. The mean (SD) age was 41.1 (18.0) years, and 20.3% (n = 348) were female. Median percentage of total body surface area was 17% (6-35%) and percent full-thickness surface area was 4% (0-20%). Inhalational injury was documented as present in 36.2%. Accidental injury was the most common etiology of burn (70.4%) and most frequently via a flame (68.3%). Overall hospital mortality was 10.9% (n = 187). Independent risk factors for death were age (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.06-1.10; p < 0.001), percentage of full-thickness surface area (OR, 1.07; 95% CI 1.06-1.08; p < 0.001), and Acute Physiology and Chronic Health Evaluation II score excluding age (OR, 1.11; 95% CI, 1.07-1.15; p < 0.001) and female sex (OR, 3.35; 95% CI, 1.84-6.11; p = 0.001). There was no association between inhalational injury or deliberate self-harm and death, as well as etiology or type of burn.
CONCLUSION: A highly discriminatory mortality prediction model was developed using logistic regression. Risk of death following major burns can be predicted from a combination of physiologic and burns specific parameters. Female sex is a highly significant risk factor.

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Year:  2013        PMID: 23887563     DOI: 10.1097/TA.0b013e318295409d

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  7 in total

1.  Evaluation of prognostic factors affecting lenght of stay in hospital and mortality rates in acute burn patients.

Authors:  M E AbdelWahab; M S Sadaka; E A Elbana; A A Hendy
Journal:  Ann Burns Fire Disasters       Date:  2018-06-30

2.  Early and Late Acute Kidney Injury in Severely Burned Patients.

Authors:  Wojciech Witkowski; Marek Kawecki; Agnieszka Surowiecka-Pastewka; Wojciech Klimm; Katarzyna Szamotulska; Stanisław Niemczyk
Journal:  Med Sci Monit       Date:  2016-10-17

3.  Recovery of health-related quality of life after burn injuries: An individual participant data meta-analysis.

Authors:  Inge Spronk; Nancy E E Van Loey; Charlie Sewalt; Daan Nieboer; Babette Renneberg; Asgjerd Litleré Moi; Caisa Oster; Lotti Orwelius; Margriet E van Baar; Suzanne Polinder
Journal:  PLoS One       Date:  2020-01-10       Impact factor: 3.240

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

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

5.  Gender-based disparities in burn injuries, care and outcomes: A World Health Organization (WHO) Global Burn Registry cohort study.

Authors:  Kajal Mehta; Hana Arega; Natalie L Smith; Kathleen Li; Emma Gause; Joohee Lee; Barclay Stewart
Journal:  Am J Surg       Date:  2021-07-24       Impact factor: 2.565

6.  The Predictive Value of Scores Used in Intensive Care Unit for Burn Patients Prognostic.

Authors:  M Novac; Alice Dragoescu; Andreea Stanculescu; Lucica Duca; Daniela Cernea
Journal:  Curr Health Sci J       Date:  2014-12-14

7.  Predictors of health-related quality of life after burn injuries: a systematic review.

Authors:  Inge Spronk; Catherine M Legemate; Jan Dokter; Nancy E E van Loey; Margriet E van Baar; Suzanne Polinder
Journal:  Crit Care       Date:  2018-06-14       Impact factor: 9.097

  7 in total

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