2014
DOI: 10.1016/j.burns.2014.03.010
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Predicting mortality from burns: The need for age-group specific models

Abstract: Traditional burn mortality models are derived using all age groups. We hypothesized that age variably impacts mortality after burn and that age-specific models for children, adults, and seniors will more accurately predict mortality than an all-ages model. We audited data from the American Burn Association (ABA) National Burn Repository (NBR) from 2000-2009 and used mixed effect logistic regression models to assess the influence of age, total body surface area (TBSA) burn, and inhalation injury on mortality. M… Show more

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Cited by 64 publications
(35 citation statements)
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“…(16) Interestingly, the coefficient for the TBSA* Inhale interaction was negative indicating a lower rate of increase in mortality risk per percent TBSA increase in the presence of inhalation injury. This apparent anomaly likely stems from the differential effect of inhalation injury on mortality in conjunction with burn severity.…”
Section: Resultsmentioning
confidence: 99%
“…(16) Interestingly, the coefficient for the TBSA* Inhale interaction was negative indicating a lower rate of increase in mortality risk per percent TBSA increase in the presence of inhalation injury. This apparent anomaly likely stems from the differential effect of inhalation injury on mortality in conjunction with burn severity.…”
Section: Resultsmentioning
confidence: 99%
“…Firstly, most children's burns are smaller in size and not life-threatening compared to adult burn injury [1,2]; and secondly, children's burns require frequent surgical operations until the child stops growing in order to remediate the scarring and contractures that form after severe burns [3][4][5]. Contractures arise from scar tissue that forms across joints.…”
Section: Introductionmentioning
confidence: 99%
“…5,16,17,29 However, the need for further stratification by age groups as a primary independent determinant in predicting length of hospitalization has yet to be further studied in regards to correlation with a biochemical marker such as albumin. 30 Flora et al observations comment on age as the next most important predictor in LOS once adjusted for TBSA. 22,31 Studies performed by Johnson et al 2 notes on the linear correlation in LOS in accord with TBSA within each age group.…”
Section: Discussionmentioning
confidence: 96%