Mortality in 1,100 Consecutive Burns Treated at a Burns Unit

BASH, GAPT; PRUTTI, A.; Tumbusch, Wilfred T.; Mason, Arthur D.; Pearson, Elinor

doi:10.1097/00000658-196403000-00011

Cited by 62 publications

(4 citation statements)

References 4 publications

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“…Other variables include changes in public health and infrastructural changes allowing for more rapid transport of the critically ill. We compared our results to Curerri’s logistic prediction model (Table 3) because it reflected burn care in 1980 at an appropriate comparison time point; our results directly connect to their landmark probit studies in both mathematical and qualitative manners. Other notable burn mortality prediction models include (1) Pruitt et al’s and Shirani et al’s models (20, 30), which are based on TBSA burn and/or the presence of inhalation injury and pneumonia, and (2) the revised Baux Score (27). The revised Baux score is an updated version of the original Baux score that is calculated by adding patient age, TBSA burn, and 17 points for the presence of inhalation injury.…”

Section: Discussionmentioning

confidence: 99%

“…Barnes reported data from Massachusetts General Hospital in 1957 (16). Schwartz (17), and later Pruitt, reported similar numbers for the Brooke Army Medical Center (18); additional reports of burn LA 50 have used the four age categories established by Bull, Squire, and Fisher (Table 1). In 1980, Currerri, Luterman, Braun, and Shires predicted age-adjusted mortality in 937 burned patients (79% survival, median age of 29 years, median burn size of 18% TBSA) using a logistic regression formula to describe the standard of care at the time (19).…”

Section: Introductionmentioning

confidence: 92%

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Contemporary Burn Survival

Čapek

Sousse

Hundeshagen

et al. 2018

Journal of the American College of Surgeons

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 92%

Contemporary Burn Survival

Čapek

Sousse

Hundeshagen

et al. 2018

Journal of the American College of Surgeons

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“…[1-4] One of the most frequently used mortality prediction models is the Baux Index, which was developed as a thesis by a non-burn academic. [5] These were followed by the Abbreviated Burn Severity Index and the Clark mortality prediction model.…”

Section: Introductionmentioning

confidence: 99%

Predicting mortality from burns: The need for age-group specific models

Taylor

Lawless

Curri

et al. 2014

Burns

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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. Mortality models were constructed for all ages and age-specific models: children (<18 years), adults (18-60 years), and seniors (>60 years). Model performance was assessed by area under the receiver operating curve (AUC). Main effect and two-way interactions were used to construct age-group specific mortality models. Each age-specific model was compared to the All Ages model. Of 286,293 records 100,051 had complete data. Overall mortality was 4% but varied by age (17% seniors, <1% children). Age, TBSA, and inhalation injury were significant mortality predictors for all models (p<0.05). Differences in predicted mortality between the All Ages model and the age-specific models occurred in children and seniors. In the age-specific pediatric model, predicted mortality decreased with age; inhalation injury had greater effect on mortality than in the All Ages model. In the senior model mortality increased with age. Seniors had greater increase in mortality per 1% increment in burn size and 1 year increase in age than other ages. The predicted mortality in seniors using the senior-specific model was higher than in the All Ages model. “One size fits all” models for predicting burn outcomes do not accurately reflect the outcomes for seniors and children. Age-specific models for children and seniors may be advisable.

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“…His work with a succession of brilliant clinicians and allied scientists has extended and improved life for the burned patient in countless ways. At the dawn of his scientific career, he published a mortality review of 1,100 consecutive burns, presaging both his work on behalf of burned patients and the larger impact of these findings to the common understanding of biology(11). His corpus of research provides comprehensive description and analysis of post-injury systemic alterations, and lays the groundwork for physiological interventions that continue to define a higher standard in burn care.…”

Section: Introductionmentioning

confidence: 99%