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Published on: February 23, 2024
Predicting mortality from burns: the need for age-group specific models
Sandra L Taylor1, MaryBeth Lawless2, Terese Curri1
1University of California Davis, Sacramento, CA, United States.
Insights
Age-specific models for burn mortality are more accurate than all-ages models, especially for children and seniors. Burn outcomes and mortality risk vary significantly by age group.
Area of Science:
- Trauma surgery
- Burn care research
- Biostatistics in medicine
Background:
- Traditional burn mortality prediction models often use aggregated age data.
- Existing models may not accurately reflect age-specific variations in burn injury outcomes.
- Hypothesis: Age significantly influences burn mortality, necessitating age-specific predictive models.
Purpose of the Study:
- To develop and compare age-specific burn mortality models (children, adults, seniors) against an all-ages model.
- To assess the predictive accuracy of these models using data from the National Burn Repository.
- To identify how age, burn size (TBSA), and inhalation injury impact mortality across different age groups.
Main Methods:
- Utilized data from the American Burn Association National Burn Repository (2000-2009).
- Employed mixed-effect logistic regression to build mortality models for all ages and specific age groups (<18, 18-60, >60).
- Evaluated model performance using the area under the receiver operating curve (AUC).
Main Results:
- Overall mortality was 4%, with significant variation by age (seniors 17%, children <1%).
- Age, TBSA burn, and inhalation injury were significant predictors across all models.
- Age-specific models showed distinct differences, particularly for children and seniors, with seniors exhibiting higher mortality risk per age and burn size increase.
Conclusions:
- A 'one-size-fits-all' approach to burn mortality prediction is inadequate.
- Age-specific models, especially for pediatric and geriatric populations, offer improved accuracy.
- Recommendations for age-tailored burn outcome prediction models are warranted.
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 to 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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