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| Study on the Efects of Different Types of Cerebral Infarction on Progressive Ischemic Stroke |
| WANG Jingyue, ZHANG Jiang, PENG Yanbo |
| Affiliated Hospital of North China University of Science and Technology, Hebei Tangshan 063000, China |
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Abstract Objective: To study the predictive value of different cerebral infarction classification on progressive ischemic stroke. Methods: 143 patients of acute cerebral infarction who received therapy from in May 2017 to June 2018 in our hospital were selected as research objects , according to the divided into progression with the progress group, were performed on two groups of patients were analyzed, and the statistics of the number of cases, the single factor analysis of parting, selected from progressive ischemic stroke risk factors, multiple factors analysis, set up different combination, so as to calculate the prediction accuracy. Results: After analysis, LAA and SAO subtypes in TOAST classification, and large infarction, middle infarction and lacunar infarction in CT classification. The comparison between the four subtypes of OCSP and LAA, PAD and UE subtypes of CISS subtypes had statistical significance (P<0.05). After analysis, the CAP scores of PACI subtype, TACI subtype, CT classification, large infarction, lacunar infarction subtype, CISS classification, UE subtype is an independent risk factor for ischemic stroke progression (P< 0.05). ROC curve analysis showed that the area under the ACU of PACI subtype, TACI subtype, large infarction, lacunar infarction subtype and UE subtype combined detection was significantly different (P>0.05), sensitivity and specificity of combined detection. Both were better than the individual detection (P<0.05). Conclusion: There is a close relationship between cerebral infarction classification and progressive ischemic stroke, which can predict the progression of stroke, and the combination model of TACI subtype +PACI subtype +UE subtype + lacunar infarction is the optimal model to predict progressive ischemic stroke.
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2019, Vol. 25 
