2018•Chin J Postgrad MedRequires access

The role of cerebral infarction regions in predicting the progressive cerebral infarction

Hongying Liang

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Abstract

Objective To explore the role of cerebral infarction regions in predicting the progressive cerebral infarction (PCI). Methods One hundred and sixteen patients with cerebral infarction from Oct 2016 to Oct 2017 were selected. Patients were classified into cortical, basal gangliaon, coronaradiata and posterior circulation infarction according different regions. The patients were divided into non-PCI group and PCI group according to their clinical manifestations. The role of cerebral infarction regions in predicting the progressive cerebral infarction was conducted by unitary analysis and multivariate analysis. Results Eighty-five cases of non-PCI and 31 cases of PCI were included. The number of cases of cortical, basal gangliaon, coronaradiata and posterior circulation infarction were 55, 29, 21 and 10. Multivariate analysis showed that age (OR=1.257, 95% CI 1.117 - 2.426, P=0.031), history of diabetes (OR=1.342, 95% CI 1.121-2.162, P=0.022), systolic pressure (OR=1.264, 95% CI 1.254 - 2.209, P=0.033), location of infarct (OR=1.153, 95% CI 1.064 - 1.528, P=0.041), baseline NIHHS score (OR=1.634, 95% CI 1.248 - 1.688, P=0.029) were independent risk factors affecting the occurrence of progressive cerebral infarction. The frequency of progression was significantly increased in cortical infarction , compared with that in other subtypes of cerebral infarction. The trend was still significant even after adjustment for age and systolic pressure. Conclusions The occurrence of progressive cerebral infarction is influenced by multiple factors, and the location of the infarct is one of its independent risk factors, especially for patients with cortical infarction. Key words: Brain infarction; Forecasting; Early neurological deterioration

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Objective To explore the role of cerebral infarction regions in predicting the progressive cerebral infarction (PCI). Methods One hundred and sixteen patients with cerebral infarction from Oct 2016 to Oct 2017 were selected. Patients were classified into cortical, basal gangliaon, coronaradiata and posterior circulation infarction according different regions. The patients were divided into non-PCI group and PCI group according to their clinical manifestations. The role of cerebral infarction regions in predicting the progressive cerebral infarction was conducted by unitary analysis and multivariate analysis. Results Eighty-five cases of non-PCI and 31 cases of PCI were included. The number of cases of cortical, basal gangliaon, coronaradiata and posterior circulation infarction were 55, 29, 21 and 10. Multivariate analysis showed that age (OR=1.257, 95% CI 1.117 - 2.426, P=0.031), history of diabetes (OR=1.342, 95% CI 1.121-2.162, P=0.022), systolic pressure (OR=1.264, 95% CI 1.254 - 2.209, P=0.033), location of infarct (OR=1.153, 95% CI 1.064 - 1.528, P=0.041), baseline NIHHS score (OR=1.634, 95% CI 1.248 - 1.688, P=0.029) were independent risk factors affecting the occurrence of progressive cerebral infarction. The frequency of progression was significantly increased in cortical infarction , compared with that in other subtypes of cerebral infarction. The trend was still significant even after adjustment for age and systolic pressure. Conclusions The occurrence of progressive cerebral infarction is influenced by multiple factors, and the location of the infarct is one of its independent risk factors, especially for patients with cortical infarction. Key words: Brain infarction; Forecasting; Early neurological deterioration

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Available abstract

Objective To explore the role of cerebral infarction regions in predicting the progressive cerebral infarction (PCI). Methods One hundred and sixteen patients with cerebral infarction from Oct 2016 to Oct 2017 were selected. Patients were classified into cortical, basal gangliaon, coronaradiata and posterior circulation infarction according different regions. The patients were divided into non-PCI group and PCI group according to their clinical manifestations. The role of cerebral infarction regions in predicting the progressive cerebral infarction was conducted by unitary analysis and multivariate analysis. Results Eighty-five cases of non-PCI and 31 cases of PCI were included. The number of cases of cortical, basal gangliaon, coronaradiata and posterior circulation infarction were 55, 29, 21 and 10. Multivariate analysis showed that age (OR=1.257, 95% CI 1.117 - 2.426, P=0.031), history of diabetes (OR=1.342, 95% CI 1.121-2.162, P=0.022), systolic pressure (OR=1.264, 95% CI 1.254 - 2.209, P=0.033), location of infarct (OR=1.153, 95% CI 1.064 - 1.528, P=0.041), baseline NIHHS score (OR=1.634, 95% CI 1.248 - 1.688, P=0.029) were independent risk factors affecting the occurrence of progressive cerebral infarction. The frequency of progression was significantly increased in cortical infarction , compared with that in other subtypes of cerebral infarction. The trend was still significant even after adjustment for age and systolic pressure. Conclusions The occurrence of progressive cerebral infarction is influenced by multiple factors, and the location of the infarct is one of its independent risk factors, especially for patients with cortical infarction. Key words: Brain infarction; Forecasting; Early neurological deterioration

Key concepts: Medicine, Cerebral infarction, Infarction, Cardiology, Conventional PCI, Internal medicine, Multivariate analysis, Myocardial infarction

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