Multi-institutional analysis of independent predictors for burn mortality in the United States

Author:

Zavlin Dmitry1ORCID,Chegireddy Vishwanath1,Boukovalas Stefanos2,Nia Anna M.3,Branski Ludwik K.2,Friedman Jeffrey D.1,Echo Anthony1

Affiliation:

1. Institute for Reconstructive Surgery, Houston Methodist Hospital Weill Cornell Medicine 6560 Fannin Street, Scurlock Tower, Suite 2200 77030 Houston TX, USA

2. Division of Plastic Surgery The University of Texas Medical Branch Galveston TX, USA

3. School of Medicine The University of Texas Medical Branch Galveston TX, USA

Abstract

Abstract Background Previous reports individually identified different factors that predict death after burns. The authors employed the multi-center American Burn Association’s (ABA) National Burn Repository (NBR) to elucidate which parameters have the highest negative impact on burn mortality. Methods We audited data from the NBR v8.0 for the years 2002–2011 and included 137,061 patients in our study. The cases were stratified into two cohorts based on the primary outcome of death/survival and then evaluated for demographic data, intraoperative details, and their morbidity after admission. A multivariable regression analysis aimed to identify independent risk factors associated with mortality. Results A total of 3.3% of patients in this analysis did not survive their burn injuries. Of those, 52.0% expired within 7 days after admission. Patients in the mortality cohort were of older age (p < 0.001), more frequently female (p < 0.001), and had more pre-existing comorbidities (p < 0.001). Total body surface area (TBSA), inhalation injury, hospitalization time, and occurrence of complications were higher compared to survivors (p < 0.001). Lack of insurance (odds ratio (OR) = 1.84, confidence interval (CI) 1.38–2.46), diabetes (OR = 1.24, CI 1.01–1.53), any complication (OR = 4.09, CI 3.27–5.12), inhalation injury (OR = 3.84, CI 3.38–4.36), and the need for operative procedures (OR = 2.60, CI 2.20–3.08) were the strongest independent contributors to mortality after burns (p < 0.001). Age (OR = 1.07, CI 1.06–1.07) and TBSA (OR = 1.09, CI 1.09–1.09) were significant on a continuous scale (p < 0.001) while overall comorbidities were not a statistical risk factor. Conclusion Uninsured status, inhalation injury, in-hospital complications, and operative procedures were the strongest mortality predictors after burns. Since most fatal outcomes (52.0%) occur within 7 days after injury, physicians and medical staff need to be aware of these risk factors upon patient admission to a burn center.

Publisher

Oxford University Press (OUP)

Subject

Critical Care and Intensive Care Medicine,Dermatology,Biomedical Engineering,Emergency Medicine,Immunology and Allergy,Surgery

Reference30 articles.

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