OBJECTIVE: To develop a model for predicting mortality among burn victims. METHODS:All casualties admitted to our intensive care burn unit (ICBU) with a diagnosis of thermal or inhalation injury were studied. Age, total and full-thickness body surface area (BSA) burned, presence of inhalation injury, gender, mechanism of injury, delay to ICBU admission and mechanical ventilation during the first 72 h were recorded. The 851 participants were randomly divided into derivation (671) and validation (180) sets. From univariate and multivariate logistic regression analyses a mortality predictive equation was derived. RESULTS:Mortality was 17.6%. In univariate analysis, all variables were significantly associated with mortality except mechanism of injury and delay to ICBU admission. In multivariate analysis, age, total and full-thickness BSA burned, female gender and early mechanical ventilation were independently associated with mortality. CONCLUSIONS: We propose a mortality predictive equation for burned victims. In this model, MV and not inhalation injury is a mortality risk factor.
RCT Entities:
OBJECTIVE: To develop a model for predicting mortality among burn victims. METHODS: All casualties admitted to our intensive care burn unit (ICBU) with a diagnosis of thermal or inhalation injury were studied. Age, total and full-thickness body surface area (BSA) burned, presence of inhalation injury, gender, mechanism of injury, delay to ICBU admission and mechanical ventilation during the first 72 h were recorded. The 851 participants were randomly divided into derivation (671) and validation (180) sets. From univariate and multivariate logistic regression analyses a mortality predictive equation was derived. RESULTS: Mortality was 17.6%. In univariate analysis, all variables were significantly associated with mortality except mechanism of injury and delay to ICBU admission. In multivariate analysis, age, total and full-thickness BSA burned, female gender and early mechanical ventilation were independently associated with mortality. CONCLUSIONS: We propose a mortality predictive equation for burned victims. In this model, MV and not inhalation injury is a mortality risk factor.
Authors: Ilse van Langeveld; Robin C Gagnon; Peggie F Conrad; Richard L Gamelli; Brendan Martin; Mashkoor A Choudhry; Michael J Mosier Journal: J Burn Care Res Date: 2017 Mar/Apr Impact factor: 1.845
Authors: Loren H Engrav; David M Heimbach; Frederick P Rivara; Kathleen F Kerr; Turner Osler; Tam N Pham; Sam R Sharar; Peter C Esselman; Eileen M Bulger; Gretchen J Carrougher; Shari Honari; Nicole S Gibran Journal: PLoS One Date: 2012-07-05 Impact factor: 3.240
Authors: Mónica Mourelo; Rita Galeiras; Sonia Pértega; David Freire; Eugenia López; Javier Broullón; Eva Campos Journal: Indian J Crit Care Med Date: 2015-08