Objective: Although several prognostic factors for traumatic brain injury (TBI) have been evaluated, a useful predictive scoring model for the outcomes has not been developed for patients with severe TBI who undergo decompressive craniectomy (DC). The aim of the present study was to determine independent predictors and develop a multivariate logistic regression equation to predict the early outcome and discharge status for patients with severe TBI who have undergone DC.
Methods: A total of 13 different variables were evaluated. The data from all 278 patients with severe TBI who had undergone DC in the present study were retrospectively evaluated from July 2011 to June 2017. Using univariate, multiple logistic regression and prognostic regression scoring equations it was possible to draw receiver operating characteristic curves to predict the early outcomes and discharge status after TBI.
Results: We found that younger age (P = 0.012), no significant medical history (P = 0.044), diameter of both pupils <4 mm (P = 0.032), higher admission Glasgow coma scale score (P = 0.004), no tracheotomy (P < 0.001), and DC for severe TBI were associated with a favorable early outcome and discharge status. Using receiver operating characteristic curves to predict the probability of a favorable outcome, the sensitivity was 80.0% and the specificity was 79.5%.
Conclusions: Our preliminary findings have shown that 5 variables can be used as independent predictors in assessing the early outcome and discharge status for patients with severe TBI after DC.
Keywords: Decompressive craniectomy; Discharge status; Prognostic predictors; Severe traumatic brain injury.
Copyright © 2019. Published by Elsevier Inc.