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进展性脑梗死的危险因素Logistic回归分析 被引量:12

The multivariate Logistic regression analysis on the factors associated with stroke progression
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摘要 目的探讨进展性脑梗死的危险因素,为防治提供理论依据。方法收集2007-01~2008-12在漯河医专二附院神经内科住院的351例脑梗死患者,依据病情是否进展分为进展组(n=98)与非进展组(n=253),从非进展组中随机抽取98例作为对照组,检测2组患者体温、血压、白细胞、血糖等,同时调查年龄、性别、吸烟、酗酒、糖尿病史等其他危险因素并比较分析。结果单因素分析显示体温、糖尿病史、高血压史、血压降低、高血脂、白细胞、C-反应蛋白、血糖及同型半胱氨酸增高、颈动脉粥样硬化斑块是进展性脑梗死的显著相关因素(P〈0.05),Logistic回归分析显示高血压史、血压降低、血脂、体温、白细胞、C-反应蛋白及血糖增高可能是独立危险因素。结论进展性脑梗死与高血压史、血压降低、血脂、体温、白细胞数、C-反应蛋白增高和糖尿病有关,控制炎症、血糖、体温、血脂,避免盲目降压可以减少进展性脑梗死。 Objective To investigate the risk factors associated with stroke in progression. Methods Three hundred and fifty-one inpatients with acute cerebral infarction from January 2007 to December 2008 in department of neurology were collected. They were derided into stroke in progression(n= 98) and stroke in non-progression(n= 253) patients, 98 patients were chosen randomly as control group. The tempreture, blood pressure, the serum leukocyte count, glucose were measured. The other risk factors such as age, sex, smoking, drinking, diabetes were investigated. Results By single factor analysis high tempreture,diabete, high blood pressure history,lower blood pressure, high blood lipids, high leukocyte count, high C-reaction protein, high blood glucose, high homocysteine, carotid atherosclerotic plaque were significantly associated with stroke in progression (P〈0.05). By multivariate Logistic regression analysis, high blood pressure,lower blood pressure,high lipids,high tempreture, high leukocyte count , high C-reaction protein, high blood glucose were independent risk factors. Conclusion Stroke in progression was related to high blood pressure history, lower blood pressure, high lipids, high tempreture, high leukocyte count, C-reaction protein and diabete. The control of inflammation, blood glucose, tempreture, blood lipids, can degrade the incidence rate of stroke in progression.
出处 《中国实用神经疾病杂志》 2009年第11期8-11,共4页 Chinese Journal of Practical Nervous Diseases
关键词 进展性脑梗死 危险因素 LOGISTIC回归分析 Stroke in progression Risk factors Logistic regression analysis
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