Background: Around two thirds stroke patients may suffer from vascular cognitive impairment (VCI). Our previous\nstudy has validated the NINDS-CSN harmonization standard for VCI diagnosis in Chinese. In this study, we aimed to\ninvestigate the predictors for VCI in Chinese post-stroke patients.\nMethods: We compared epidemiological, clinical, and neuroimaging data (number, size and location of acute\ninfarcts and lacunes, severities of white matter hyperintensities and brain atrophy) between stroke patients with\nand without VCI. Univariate and logistic regression analyses were utilized to determine VCI predictors.\nResults: Fifty-six consecutive patients (age, 63.8 Ã?± 8.3 years; female, 37.5 %) were recruited at a mean interval of 7.\n1 months after stroke onset, and 31 (55.4 %) patients were diagnosed with VCI based on a validated 60-min\nneuropsychological battery. VCI patients were older (p = 0.023), less educated (p = 0.001), more likely to be female\n(p < 0.001), had a recurrent stroke (p = 0.028), and described higher apathy (p = 0.022) and worse pre-stroke\ncognition (p = 0.048) than cognitively normal patients. Lower educational level (adjusted odds ratio [OR] 0.750,\n95 % confidence interval [CI], 0.573ââ?¬â??0.981; p = 0.035), female sex (adjusted OR 8.288, 95 % CI, 1.522ââ?¬â??45.113; p = 0.\n014), recurrent stroke (adjusted OR 11.327, 95 % CI, 1.335ââ?¬â??96.130, p = 0.026), and global cortical atrophy (adjusted\nOR 5.730, 95 % CI, 1.128ââ?¬â??29.101, p = 0.035) were independently associated with VCI in post-stroke patients.\nConclusions: Lower education, female sex, recurrent stroke and global cortical atrophy were associated with VCI in\nChinese stroke patients.
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