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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Prediction of mortality from catastrophic burns in children
Marcus Spies1, David N Herndon, Judah I Rosenblatt
1Shriners Hospitals for Children and Department of Surgery, The University of Texas Medical Branch, Galveston, TX 77550, USA.
Insights
Accurate prediction of mortality in massive paediatric burns requires comprehensive data beyond initial demographics. A validated model integrating clinical variables achieved 97% accuracy in predicting outcomes for severely burned children.
Area of Science:
- Pediatric critical care medicine
- Burn injury research
- Prognostic modeling in severe trauma
Background:
- A predictive model for survival in massive pediatric burns (>80% total body surface area [TBSA]) was previously developed.
- The initial model incorporated demographic and clinical variables from the hospital course.
- The study aimed to prospectively validate this model's predictive accuracy.
Purpose of the Study:
- To prospectively validate a previously developed model for predicting survival in pediatric patients with massive burns.
- To assess the accuracy of outcome prediction using demographic data alone versus a comprehensive clinical model.
Main Methods:
- Prospective validation in 33 pediatric burn patients with >80% TBSA burns.
- Data collected included age, burn size, inhalation injury, resuscitation status, and various laboratory/clinical parameters.
- These variables were entered into previously developed predictive models.
Main Results:
- The study included 33 children (20 male, 13 female) with a mean age of 7.6 years and 88% TBSA burns.
- Overall mortality was 39.4% (13 of 30).
- The comprehensive model predicted outcomes with 97% accuracy, while a demographic-only model predicted outcomes with only 51% accuracy.
Conclusions:
- Mortality in severely burned children can be reliably estimated in a burn center setting.
- Demographic and injury characteristics alone are insufficient for reliable outcome prediction.
- Severely burned children should receive treatment before decisions regarding treatment futility are considered.
Background:
We previously developed a model to predict survival in massive paediatric burns (>80% total body surface area [TBSA]). This model included not only demographic variables, but also variables obtained throughout the hospital course. We aimed to prospectively validate our model for accuracy of outcome prediction.
Methods:
We admitted 33 paediatric burn patients with burns greater than 80% TBSA. We recorded age, burn size, inhalation injury, resuscitation, packed-cell volume at admission, base deficit, serum osmolarity, sepsis, inotropic support, platelet count, creatinine, and ventilator dependency. We entered these data into our previous models.
Results:
20 male and 13 female children with mean age 7.6 (SD 1) years with TBSA burns of 88% (SD 1; full thickness 86% [SD 1]) were admitted. Mortality was 39.4% (13 of 30). When all variables were integrated into our final model, we predicted outcome with 97% accuracy. When we used a model based only on demographic characteristics of age, burn size, and presence of inhalation injury, outcome was correctly predicted in only 51% of patients.
Conclusion:
We show prospectively that mortality in severely burned children can be reliably estimated at a burn centre, and that outcome cannot be reliably predicted on the basis of demographic and injury characteristics alone. These data suggest that all severely burned children should be given a course of treatment before consideration of treatment futility.
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