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脑卒中后早期认知功能障碍与远期抑郁症状的Logistic回归分析 被引量:9

Logistic regression analysis of early cognitive impairment and long-term depressive symptoms after stroke
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摘要 目的研究急性脑卒中患者中认知功能障碍对远期产生抑郁症状(DS)的预测价值。方法根据入选排除标准选择143例脑卒中后前3周的病人,选择预测变量为早期认知功能、人口基性特征、血管危险因素、病变部位、抑郁症状、神经功能缺损及日常生活能力,因变量为入组后6~10个月后远期抑郁症状(蒙哥马利抑郁量表评分>7分)进行多元Logistic回归分析。结果早期认知功能障碍、早期抑郁症状、女性、糖尿病和既往短暂性脑缺血发作(TIA)病史是远期抑郁症状的独立危险因素。对于几乎所有认知障碍患者,单侧忽视是卒中后6个月抑郁症状最重要的危险因素。结论脑卒中后认知功能障碍和血管危险因素是远期抑郁症状的重要预测因子。 Objective To examine the predictive value of cognitive impairment in the acute phase after stroke as a risk factor for long-term(six to ten months after stroke) depressive symptoms(DS).Methods We evaluated 143 patients within the first 3 weeks post-stroke.Predictor variables included domain-specific cognitive function,demographic data,vascular risk factors,lesion characteristics,and clinical factors.Predictor variables associated with long-term DS(Montgomery Depression Rating Scale7) were identified with multiple logistic and linear regression.Results Long-term DS were independently predicted by cognitive impairment at baseline,DS at baseline,female,diabetes mellitus,and previous TIA(s).Among all the cognitive disorders,unilateral neglect was the greatest risk factor for DS after 6 months.Conclusion Cognitive impairment and vascular risk factors are important predictors of long-term DS after stroke.
出处 《中国实用神经疾病杂志》 2011年第17期8-10,共3页 Chinese Journal of Practical Nervous Diseases
关键词 脑卒中 抑郁症状 认知功能障碍 LOGISTIC回归分析 Stroke Depressive symptoms Cognitive impairment Logistic regression analysis
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