Prediction of long-term prognoses with Helsinki CT scoring system in patients with traumatic brain injury
SHI Shen-qi
WANG Lin
LI Cheng-ming
LI Jiang
ZHAN Yan
LIU Shuai
JIN Xue
LIU Li
Abstract：Objective To explore the value of Helsinki CT scoring system to predicting long-term outcomes in the patients with traumatic brain injury(TBI).Methods The clinical data and Helsinki CT scores of 234 patients with TBI were analyzed retrospectively. The prognoses were assessed by GOS score 6 months after TBI in all the patients.The value,sensitivity and specificity of Helsinki CT scoring system in all the patients were investigated by multivariate Logistic regression analysis and area under the curve(AUC)analysis in all the patients. Results Multivariate Logistic regression analysis showed that the patient's age, motor scores, pupil reflex and the Helsinki CT scores were independent predictors of long-term prognoses.In addition,the Helsinki CT scoring system better predicted the death rate and unfavorable outcomes(AUCdeath=0.82;AUCunfavorable=0.77)in all the patients with TBI.Its specificity and sensitivity to death were 71.7% and 80.5% respectively. Its specificity and sensitivity to unfavorable outcomes were 89.0% and 53.9% respectively. Conclusions It is suggested that Helsinki CT scoring system is an independent factor of predicting long-term outcomes,and it shows the most powerful discrimination for death prediction and unfavorable outcome prediction when its cut off value is 4.5 and 6.5 respectively in the patients with TBI.
Keywords：Traumatic brain injuryHelsinki CT scoring systemLong-term outcomeMultivariate logistic regression analysis
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 824-827 )