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高齡急性缺血性腦卒中患者認(rèn)知功能障礙影響因素的Logistic回歸分析

發(fā)布時(shí)間:2018-07-31 05:18
【摘要】:目的了解高齡急性缺血性腦卒中患者(acute ischemic stroke,AIS)認(rèn)知功能障礙的發(fā)生率及影響因素。方法選取2013年1月~2016年9月�?谑械谌嗣襻t(yī)院收治的AIS患者725例,最終納入患者426例。根據(jù)患者病情穩(wěn)定即將出院時(shí)采用簡(jiǎn)易精神狀態(tài)量表(mini mental state examination,MMSE)評(píng)估其是否存在認(rèn)知功能障礙,分為認(rèn)知功能障礙組201例和認(rèn)知功能正常組225例。應(yīng)用單因素及多元Logistic回歸分析急性缺血性腦卒中患者認(rèn)知功能障礙的影響因素,并繪制受試者工作特征曲線來(lái)評(píng)估Logistic回歸模型的效果。結(jié)果單因素及多元Logistic回歸分析顯示,高血壓史、高脂血癥、高同型半胱氨酸血癥、體育鍛煉、交流頻率、日常生活能力是腦卒中患者發(fā)生認(rèn)知功能障礙的獨(dú)立影響因素(均有P0.05)。受試者工作特征曲線評(píng)價(jià)Logistic回歸模型效果的曲線下面積為0.853(95%CI:0.781~0.926)。3個(gè)獨(dú)立危險(xiǎn)因素組MMSE評(píng)分低于≤3個(gè)獨(dú)立危險(xiǎn)因素組MMSE評(píng)分(t=4.183,P=0.016)。結(jié)論高齡急性缺血性腦卒中患者認(rèn)知功能障礙的發(fā)生率較高,影響認(rèn)知功能障礙的危險(xiǎn)因素較多,需采取預(yù)防措施,以減少或延緩認(rèn)知障礙的發(fā)生。
[Abstract]:Objective to investigate the incidence and influencing factors of cognitive impairment in elderly patients with acute ischemic stroke (acute ischemic stroke-AIS). Methods from January 2013 to September 2016, 725 patients with AIS were selected from the third people's Hospital of Haikou City, and 426 patients were included. The patients were divided into two groups: 201 patients with cognitive dysfunction and 225 patients with normal cognitive function according to the use of mini-mental state scale (mini mental state examinationmMSE) when the patient was about to be discharged from hospital. The patients were divided into two groups: 201 patients with cognitive dysfunction and 225 patients with normal cognitive function. Univariate and multivariate Logistic regression analysis was used to analyze the influencing factors of cognitive dysfunction in patients with acute ischemic stroke, and the operating characteristic curve was drawn to evaluate the effect of Logistic regression model. Results univariate and multivariate Logistic regression analysis showed that hypertension history, hyperlipidemia, hyperhomocysteinemia, physical exercise, communication frequency and daily living ability were independent influencing factors of cognitive dysfunction in stroke patients (P0.05). The area under the curve for evaluating the effect of Logistic regression model was 0.853 (95%CI:0.781~0.926). The MMSE score of three independent risk factors groups was lower than that of 鈮,

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