Risk factors for depression and cognitive impairment after first acute ischemic stroke
10.3969/j.issn.1009-0126.2018.04.005
- VernacularTitle:急性期首发脑卒中后抑郁状态与认知功能障碍的相关危险因素研究
- Author:
Yongzhen LIU
1
;
Jing YIN
;
Cuizhu ZHAO
;
Fengchun YU
Author Information
1. 100080,北京市海淀医院(北京大学第三医院海淀院区)神经内科
- Keywords:
stroke;
depression;
cognition disorders;
hyperhomocysteinemia;
anxiety;
risk factors
- From:
Chinese Journal of Geriatric Heart Brain and Vessel Diseases
2018;20(4):353-357
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the risk factors for PSD and post-stroke cognitive impairment (PSCI) after first AIS.Methods One hundred and three AIS patients were divided into non PSD group (n=77) and PSD group (n=26) according to their HAMD score and into non-PSCI group (n=30) and PSCI group (n=73) according to their MoCA score.Their depression and congnitive impairment were assessed,their demographic and clinical data were recorded.Risk factors for PSD and PSCI were analyzed by multivariate logistic regression analysis.Results The incidence of CHD,serum homocysteine level,rate of foci in front of head,HAMA score and rate of MoCA score＜21 were significantly higher in PSD group than in non PSD group (38.5％ vs 19.5％,P=0.04;20.12±12.96 μmol/L vs 14.73±6.41 μmol/L,P=0.01;84.6％ vs 61.0％,P=0.02;12.04±9.95 vs 3.35±2.79,P=0.00;65.4％ vs 42.9％,P=0.04).The age was significantly older,the rate of solitudianrians was significantly higher,the number of males was significantly greater,the middle school education level was significantly higher,the history of smoking and alcohol comsumption was significantly longer,the serum hemoglobulin level was significantly higher in PSCI group than in non PSCI group (P＜0.05).Multivariate logistic regression analysis showed that anxiety and hyperhomocysteinemia were the independent risk factors for PSD and age was the independent risk factor for PSCI (P＜0.05).Conclusion The relationship between first acute PSD and PSCI is uncertain.PSD and PSCI are characterized by their own independent risk factors.
