Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Prognostic Predictors of Early Outcomes and Discharge Status of Patients Undergoing Decompressive Craniectomy After Severe Traumatic Brain Injury
First author：Tian Runfa,Liu Weiming
Corresponding author：Liu Baiyun
essential_information
- Person in charge：Tian Runfa,Liu Weiming
- Data Sources： OTHERS
- Number of papers：OTHERS20190861
- Published time：2019-02-18
2019-02-18
Published articles
Journal：World Neurosurgery
Publication type: Original Article
IF(IF): 2.104
PMID: 30790726 Link To Pubmed Full text Download
Background And Purpose
Method
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.
Conclusion
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.
Main 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%.