The use of distributed random forest model to quantify risk predictors for tracheostomy requirements in septic patients: A retrospective cohort study.

The search for early clinical risk factors in the intensive care setting may improve the outcome of critically ill patients. The objective of this retrospective study is to identify and quantify early predictors for patients who would require tracheostomy. Five hundred and forty four septic patients were divided in 2 groups: non-tracheostomized (NT) (n = 484) and tracheostomized (T) (n = 60).