Correlation between lesion sites and post-stroke depression in patients with ischemic stroke / 国际脑血管病杂志

ABSTRACT

Objeetive To investigate the relationship between the lesion sites and post-stroke depression (PSD) in patients with acute ischemic stroke.Methods From January 2015 to June 2016,patients with first-ever acute ischemic stroke admitted to the Department of Neurology,Wuhu Yijishan Hospital were enrolled prospectively.The demographic and baseline clinical data were recorded.The stroke lesions were localized by imaging and clinical symptoms within 24 h after admission.The patients were divided into PSD group (≥8) and non-PSD group (＜8) according to the Hamilton Depression Rating Scale score at l-month follow-up.Multivariate logistic regression analysis was used to investigate the independent correlation between PSD and lesion sites.Results A total of 376 patients with acute ischemie stroke were enrolled,including 177 females (47.07％) and 199 males (52.93％).Univariate analysis showed that there were significant differences in sex,years of education,hypertension,etiological classification of stroke (small vessel occlusion,cardiogenic embolism),baseline National Institutes of Health Stroke Scale (NIHSS) score,baseline Mini-Mental State Examination (MMSE) and left frontal lobe,left temporal lobe,and left basal ganglia lesions between the PSD group and the non-PSD group (all P ＜0.05).Multivariate logistic regression analysis showed that after adjusting for age,sex,years of education,hypertension,etiological classification of stroke,NIHSS score,and MMSE score,there was an independent correlation between the lesions in the left frontal lobe (odds ratio [OR] 1.838,95％ confidence interval [CI] 1.028-3.947;P =0.034),the left basal ganglia (OR 1.672,95％ CI 1.103-2.883;P=0.023),hypertension (OR 1.764,95％ CI 1.179-3.365;P =0.016) and PSD.Conclusions One month after the onset of ischemic stroke,there was a significant correlation between PSD and the lesion sites.Left frontal lobe lesion and left basal ganglia lesion were the independent predictors.