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Predictive value of the ratio of cerebral infarction on cerebral hernia formation in patients with large area cerebral infarction |
DU Xiaoyan1,2 LIU Qingjun1,2 ZHAO Libo1,2,3 GONG Hongmin1,2 WU Lin1,2 WEI Jing1,2 TAN Qing1,2 ZHAO Rui1,2 |
1.Department of Neurology, Yongchuan Hospital Affiliated to Chongqing Medical University, Chongqing 402160, China;
2.Chongqing Key Laboratory of Cerebrovascular Disease Research, Chongqing 402160, China;
3.Department of Neurology, the Third People′s Hospital of Chongqing City, Chongqing 400010, China |
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Abstract Objective To assess predictive value of the ratio of cerebral infarction on cerebral hernia formation in patients with large area cerebral infarction. Methods The clinical data of 71 patients with massive cerebral infarction hospitalized in Yongchuan Hospital Affiliated to Chongqing Medical University from January 2017 to January 2019 were retrospectively analyzed. They were divided into brain hernia group (17 cases) and non brain hernia group (54 cases) according to the formation of brain hernia. Single factor and binary logistic regression analysis were carried out for clinical data and imaging data. ROC curve was used to evaluate the diagnosis effect and find the best predictive value. Results Clinical data between two groups was not statistically significant (P > 0.05). The volume of cerebral infarction, the proportion of cerebral infarction and the buffer volume of cerebral hernia group were larger than those of non cerebral hernia group, the differences were statistically significant (P < 0.05). There were no significant differences in volume of brain tissue and cranial cavity between two groups (P > 0.05). The proportion of cerebral infarction was an independent risk factor for the formation of cerebral hernia in patients with massive cerebral infarction (OR = 7.749, 95%CI: 1.539-38.284, P < 0.05). The proportion of cerebral infarction and the area under the volume curve of cerebral infarction was 0.818 and 0.808 respectively. When the proportion of cerebral infarction was 21%, it was the best turning point, the sensitivity was 77%, and the specificity was 76%. Conclusion The cerebral infarction proportion is an independent risk factor for the formation of cerebral hernia in patients with massive cerebral infarction, which provides a certain predictive value for judging the formation of cerebral hernia.
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