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急性脑梗塞危险因素及急性脑梗塞与凝血酶激活纤溶抑制物的相关性分析 被引量:12

Risk factors of acute cerebral infarction(ACI)and correlation between ACI and thrombin-activated fibrinolysis inhibitor
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摘要 目的:研究急性脑梗塞(ACI)发病的危险因素及急性脑梗塞与凝血酶激活纤溶抑制物(TAFI)的相关性。方法:选择本院收治的ACI患者110例(ACI组),另选择同期本院的颈动脉斑块患者110例(颈动脉斑块组),对比两组患者的临床资料,采用Logistic分析明确ACI发病的危险因素,Pearson或Spearman分析ACI发病及其病情程度与TAFI的相关性。结果:Logistic分析显示TAFI降低、Hcy水平升高、男性、年龄≥60岁、吸烟史、饮酒史、颈动脉可见弱回声斑块及合并冠心病、高脂血症、糖尿病均为ACI发病的独立危险因素(OR=2.285~23.995,P均<0.01);相关分析显示,TAFI水平与ACI的发病及ACI患者病情程度间均具有显著负相关性(r=-0.830,-0.933,P均=0.001)。结论:对于具有ACI危险因素的患者应充分重视,凝血酶激活纤溶抑制物的水平可为ACI的发生及病情程度评估提供重要参考。 Objective:To study risk factors of acute cerebral infarction(ACI)and correlation between ACI and thrombin-activated fibrinolysis inhibitor(TAFI).Methods:A total of 110 ACI patients treated in our hospital were selected as ACI group,another 110 patients with carotid artery plaques(CAP)were enrolled as CAP group simultaneously.Clinical data were compared between two groups.Logistic regression was used to analyze risk factors for ACI.Pearson or Spearman correlation analysis was used to analyze correlation among ACI onset,severity and TAFI.Results:Logistic regression analysis indicated that decreased TAFI,increased Hcy level,male,age≥60 years,histories of smoking and drinking,weak echo CAP,complicated coronary heart disease,hyperlipidemia and diabetes mellitus were independent risk factors for ACI onset(OR=2.285~23.995,P<0.01 all);correlation analysis indicated that TAFI level was significant inversely correlated with ACI onset and severity(r=-0.830,-0.933,P=0.001 both).Conclusion:Sufficient attention should be paid to patients with ACI risk factors.Level of thrombin-activated fibrinolysis inhibitor can provide important reference for assessment of ACI onset and severity.
作者 王科 潘英 贺文麟 WANG Ke;PAN Ying;HE Wen-lin(Department of Neurology,Third People′s Hospital of Huizhou City,Huizhou,Guangdong,516001,China)
出处 《心血管康复医学杂志》 CAS 2021年第1期18-21,共4页 Chinese Journal of Cardiovascular Rehabilitation Medicine
关键词 脑梗死 凝血酶 危险因素 Brain infarction Thrombin Risk factors
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