Volume 29 Issue 10
Oct.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(10): 1650-1653
KUANG Yongmei, HU Lejing, KE Xuexue, LIAN Hong, ZOU Zehui, YU Yu. The correlation between sleep status and the risk of cognitive impairment after stroke[J]. Chinese Journal of General Practice, 2025, 23(10): 1650-1653. doi: 10.16766/j.cnki.issn.1674-4152.004197
Citation: KUANG Yongmei, HU Lejing, KE Xuexue, LIAN Hong, ZOU Zehui, YU Yu. The correlation between sleep status and the risk of cognitive impairment after stroke[J]. Chinese Journal of General Practice, 2025, 23(10): 1650-1653. doi: 10.16766/j.cnki.issn.1674-4152.004197
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The correlation between sleep status and the risk of cognitive impairment after stroke

doi: 10.16766/j.cnki.issn.1674-4152.004197

  • Department of Neurology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325000, China

Funds:

 LY21H090015

  • Received Date: 2025-02-21
    Abstract
  •   Objective  Sleep disorders are one of the common complications after stroke, which have a significant impact on the recovery and quality of life of patients. The study aims to explore the correlation between sleep status and post-stroke cognitive impairment (PSCI), in order to provide a scientific basis for clinical diagnosis and treatment.  Methods  The 146 stroke patients who received treatment at the Second Affiliated Hospital of Wenzhou Medical University from January 2021 to January 2024 were selected as the research subjects. After a 3-month follow-up, their cognitive function was evaluated using the Montreal cognitive assessment scale (MoCA), and they were divided into a PSCI group (72 cases) and a non-PSCI group (74 cases) based on the scoring results. General information of the two groups of patients was compared, and the pittsburgh sleep quality index (PSQI) was used to evaluate their sleep status. A multifactor logistic regression model was used to screen for factors related to PSCI after stroke, and a restricted cubic spline (RCS) was used to fit the relationship between sleep status and PSCI after stroke.  Results  The PSQI and National Institutes of Health stroke scale (NIHSS) scores of patients in the PSCI group were higher than those in the non PSCI group (P<0.05); The levels of blood uric acid (BUA), cystatin C (CysC), and high-sensitivity C-reactive protein (hs-CRP) in the PSCI group were higher than those in the non PSCI group (P<0.05); Multivariate logistic regression analysis showed that PSQI, NIHSS, CysC, BUA, and hs-CRP are independent influencing factors for PSCI after stroke; The RCS plot showed a significant non-linear relationship between sleep status and the occurrence of PSCI in patients after stroke (χ2=21.380, P<0.001).  Conclusion  Sleep status is associated with the risk of PSCI after stroke.

     

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