Galeiras et al developed a model for predicting mortality in critically-ill burn patients. This can help to identify a patient who may benefit from more aggressive management. The authors are from multiple hospital in Spain and Chile.
Patient selection: critically-ill burn patient
Parameters:
(1) gender
(2) age in years
(3) mechanical ventilation <= 72 hours after admission
(4) total burn surface area as percent of total body surface area
(5) full thickness burn surface area as percent of total body surface area
Parameter |
Finding |
Points |
---|---|---|
gender |
male |
0 |
|
female |
0.76 |
age in years |
< 40 years |
0 |
|
40 to 59 years |
0.98 |
|
60 to 79 years |
2.36 |
|
>= 80 |
4.55 |
mechanical ventilation |
no |
0 |
|
yes |
1.23 |
total burn area |
< 20% |
0 |
|
20 to 39% |
1.11 |
|
40 to 59% |
2 |
|
60 to 79% |
2.56 |
|
>= 80% |
3.9 |
full thickness burn area |
< 10% |
0 |
|
10 to 19% |
1.78 |
|
20 to 59% |
2.19 |
|
>= 60% |
3.63 |
where:
• Full thickness burn surface area must be less than or equal to total.
X =
= SUM(points for all 5 parameters) – 7.04
probability of mortality =
= 1 / (1 + EXP((-1) *X))
Purpose: To predict the probability of death for a critically-ill burn patient using the model of Galeiras et al.
Specialty: Emergency Medicine, Critical Care
Objective: severity, prognosis, stage
ICD-10: T20-T25, T26-T28, T29-T32,