Predictive values of classification in clinical symptoms, brain images and artery abnormalities on prognosis of cerebral infarction
- VernacularTitle:临床特征、影像和血管病变分型对脑梗死预后的预测
- Author:
Yicheng ZHU
;
Liying CUI
- Publication Type:Journal Article
- Keywords:
Brain infarction;
Classification;
Prognosis
- From:
Chinese Journal of Neurology
2001;0(01):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To compare the predictive values of the classification of clinical symptoms(OCSP classification), brain images and artery abnormalities on prognosis of cerebral infarction. Methods Totally 116 acute ischemic stroke patients were divided into 4 subtypes based on the OCSP clinical classification. Lesion distributions were classified into cortical infarction, basal ganglion infarction, centrum ovale infarction and posterior infarction according to brain MRI image. Artery abnormalities were grouped into large artery disease and small artery disease according to the results of transcranial doppler, brain MRA, carotid duplex sonography or cerebral angiograph. The neurological function of patients 1 year after onset was evaluated by Barthel index and Rankin scale. Kaplan-Meier survival curves were graphed, and log-rank testing was performed to investigate the differences among stroke subtypes. Results OCSP clinical classification and brain image classification predicted the neurological function recovery 1 year after stroke onset, but it might be based on the size of the lesion whether it caused a dominant factor or not. Patients with small artery disease were found having a lower recurrence and mortality rate, as compared those with large artery diseases(0 vs 17.9%, Log-rank test, P=0.03). Conclusions There might be differences in predictive value among these 3 classification methods upon the prognosis of cerebral infarction.
