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Open Access 01-12-2016 | Research article

Predictors for vascular cognitive impairment in stroke patients

Authors: Xiangliang Chen, Lihui Duan, Yunfei Han, Ling Tian, Qiliang Dai, Shang Wang, Ying Lin, Yunyun Xiong, Xinfeng Liu

Published in: BMC Neurology | Issue 1/2016

Abstract

Background

Around two thirds stroke patients may suffer from vascular cognitive impairment (VCI). Our previous study has validated the NINDS-CSN harmonization standard for VCI diagnosis in Chinese. In this study, we aimed to investigate the predictors for VCI in Chinese post-stroke patients.

Methods

We compared epidemiological, clinical, and neuroimaging data (number, size and location of acute infarcts and lacunes, severities of white matter hyperintensities and brain atrophy) between stroke patients with and without VCI. Univariate and logistic regression analyses were utilized to determine VCI predictors.

Results

Fifty-six consecutive patients (age, 63.8 ± 8.3 years; female, 37.5 %) were recruited at a mean interval of 7.1 months after stroke onset, and 31 (55.4 %) patients were diagnosed with VCI based on a validated 60-min neuropsychological battery. VCI patients were older (p = 0.023), less educated (p = 0.001), more likely to be female (p < 0.001), had a recurrent stroke (p = 0.028), and described higher apathy (p = 0.022) and worse pre-stroke cognition (p = 0.048) than cognitively normal patients. Lower educational level (adjusted odds ratio [OR] 0.750, 95 % confidence interval [CI], 0.573–0.981; p = 0.035), female sex (adjusted OR 8.288, 95 % CI, 1.522–45.113; p = 0.014), recurrent stroke (adjusted OR 11.327, 95 % CI, 1.335–96.130, p = 0.026), and global cortical atrophy (adjusted OR 5.730, 95 % CI, 1.128–29.101, p = 0.035) were independently associated with VCI in post-stroke patients.

Conclusions

Lower education, female sex, recurrent stroke and global cortical atrophy were associated with VCI in Chinese stroke patients.

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Title: Predictors for vascular cognitive impairment in stroke patients
Authors: Xiangliang Chen
Lihui Duan
Yunfei Han
Ling Tian
Qiliang Dai
Shang Wang
Ying Lin
Yunyun Xiong
Xinfeng Liu
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: BMC Neurology / Issue 1/2016
Electronic ISSN: 1471-2377
DOI: https://doi.org/10.1186/s12883-016-0638-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Predictors for vascular cognitive impairment in stroke patients

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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