There are no algorithms for treating burn patients based on burn injury outcome prediction indices. Objective. To improve prognosis of burn injury outcomes in patients with a Revised Frank Index (RFI) score 71—180 by taking into account white blood cell (WBC) and platelet counts. Material and methods. The study included 104 ICU patients with skin burns. WBC and platelet counts were measured on the first day after injury. We compared WBC and platelet counts in patients with different outcomes. Their predictive ability was assessed using binary logistic regression analysis and classification tree analysis. Results. WBC and platelet counts on the first day were significantly lower in survivors. Binary logistic regression analysis suggested that WBC and platelet counts were associated with injury outcome. We developed the outcome prediction algorithm and determined prognostic WBC and platelet counts. The algorithm is as follows: leukocyte count is first assessed, and WBC count >25.1·109/L is unfavorable. In case of WBC count ≤25.1·109/L, platelet count is assessed. This value ≤396·109/L is favorable, while platelet count >396·109/L is unfavorable. Conclusion. Original burn injury outcome prediction algorithm takes into account leukocyte and platelet count and enables predicting favorable outcomes in patients with RFI score 71—180 with 93% accuracy.
Жиркова et al. (Thu,) studied this question.