复发性脑梗死危险因素的<span>logistic回归分析</span>

doi:10.3969/j.issn.1006-5253.2019.06.007

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Abstract Objective To explore the risk factors of recurrent cerebral infarction and in order to provide a certain reference value for clinical prevention and treatment. Methods Totally 138 patients with recurrent cerebral infarction in the Department of Neurology were selected as research objects. Sixtyfive cases with recurrent cerebral infarction belonged to the recurrence group, and 73 cases with primary cerebral infarction belonged to the primary group. The chisquare test and logistic analysis were used to analyze the relations between general clinical data and physiological factors and recurrent cerebral infarction, in order to identify risk factors of recurrent cerebral infarction. Results There were statistically significant differences between the recurrent group and the primary group in the history of diabetes, atrial fibrillation, transient ischemic attack and hyperhomocysteinemia (P<0.05). However, There were no statistically significant differences between the two groups in cerebrovascular disease, TOAST type, history of hypertension, history of hyperlipidemia, history of coronary heart disease, history of alcohol abuse and history of smoking (P>0.05). Having hyperhomocysteine (OR: 3.894, 95% CI: 1.514～10.018), history of atrial fibrillation (OR: 3.112, 95% CI: 1.248～7.757), history of transient ischemic attack (OR: 2.824, 95% CI: 1.361～5.857), and history of diabetes (OR: 2.571, 95% CI: 1.293～ 5.112) were risk factors for recurrent cerebral infarction (P<0.05). Conclusion The risk factors of recurrent cerebral infarction indicate that paying attention to these risk factors can effectively reduce the occurrence of recurrent cerebral infarction.

Key words： recurrent cerebral infarction hyperhomocysteinemia history of transient ischemic attack cerebral vascular stenosis

Received: 29 September 2019

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	Articles by authors
	Wang Zhi
	Xu Hanwen
	Yang Jianbang

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Wang Zhi,Xu Hanwen,Yang Jianbang. Risk factors of recurrent cerebral infarction using logistic regression analysis[J]. journal1, 2019, 26(6): 422-424.

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http://manu58.magtech.com.cn/Jwk_zgyytj/EN/10.3969/j.issn.1006-5253.2019.06.007 OR http://manu58.magtech.com.cn/Jwk_zgyytj/EN/Y2019/V26/I6/422

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