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. 2025 Jun 24;104(12):e213734.
doi: 10.1212/WNL.0000000000213734. Epub 2025 May 28.

Association of Self-Reported Sleep Metrics With Imaging Markers of Small Vessel Disease and Cognition in Patients With TIA or Mild Stroke

Affiliations

Association of Self-Reported Sleep Metrics With Imaging Markers of Small Vessel Disease and Cognition in Patients With TIA or Mild Stroke

Dillys Xiaodi Liu et al. Neurology. .

Abstract

Background and objectives: Disturbed sleep is common after stroke, yet its relationship with cerebral small vessel disease (SVD) and cognitive performance in the stroke population, particularly patients with TIA/mild stroke who are on the milder end of the cerebrovascular spectrum, remains understudied. We aim to examine the associations of self-reported sleep metrics with neuroimaging markers of SVD and cognitive performance in patients with TIA/mild stroke from 2 prospective stroke cohorts.

Methods: We studied adult patients with TIA/mild stroke (NIH Stroke Scale [NIHSS] score <7) who were consecutively recruited from Mild Stroke Study 3 (MSS3, University of Edinburgh) and the stroke cohort (the University of Hong Kong, HKU) during 2018-2022. Both MSS3 (N = 211) and HKU (N = 211) cohorts assessed SVD burden visually on brain MRI, cognitive performance using Montreal Cognitive Assessment (MoCA), and sleep quality using a structured sleep questionnaire at baseline visit. The primary outcomes were SVD markers, and the secondary outcome was total MoCA score. The associations of sleep metrics with SVD markers and cognitive performance were assessed using regression models, adjusted for demographics, vascular risk factors, history of depression and stroke, and study sites.

Results: In 422 patients (65.6 ± 11.8 years, 67% male, median NIHSS score 1.0), longer in-bed time was independently associated with greater global SVD and Fazekas periventricular white matter hyperintensity (WMH) burden: odds ratio (OR)summary SVD score = 1.27 per 1-SD increase (95% CI 1.05-1.53), false discovery rate (FDR)-adjusted p = 0.04; ORperiventricular WMH = 1.53 per 1-SD increase (95% CI 1.18-2.00), p = 0.003. Longer sleep duration was independently associated with presence of cerebral microbleeds: OR = 1.42 per 1-SD increase (95% CI 1.09-1.87), p = 0.04. Longer in-bed time was associated with a lower total MoCA score after covariate adjustment: standardized β = -0.58 (95% CI -0.99 to -0.16), p = 0.02.

Discussion: Disturbed sleep, including longer in-bed time and longer sleep duration, was cross-sectionally associated with greater SVD burden and worse cognitive performance in patients with TIA/mild stroke. Future longitudinal studies are warranted to validate our findings.

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Conflict of interest statement

The authors report no relevant disclosures. Go to Neurology.org/N for full disclosures.

Figures

Figure 1
Figure 1. Study Flowchart
HKU = University of Hong Kong; MSS3 = Mild Stroke Study 3.
Figure 2
Figure 2. Adjusted Odds Ratios With 95% CI for In-Bed Time and SVD Markers
Model 1 adjusted for age, sex, and study site. Model 2 further adjusted for vascular risk score, education, history of depression, and history of stroke. Data are presented as odds ratio (95% CI) with FDR-adjusted p value. *FDR-adjusted p < 0.05; ** FDR-adjusted p < 0.01. BG = basal ganglia; CSO = central semiovale; FDR = false discovery rate; PVS = perivascular space; SVD = small vessel disease; WMH = white matter hyperintensity.
Figure 3
Figure 3. Adjusted Odds Ratios With 95% CI for Sleep Duration and SVD Markers
Model 1 adjusted for age, sex, and study site. Model 2 further adjusted for vascular risk score, education, history of depression, and history of stroke. Data are presented as odds ratio (95% CI) with FDR-adjusted p value. *FDR-adjusted p < 0.05. BG = basal ganglia; CSO = central semiovale; FDR = false discovery rate; PVS = perivascular space; SVD = small vessel disease; WMH = white matter hyperintensity.

References

    1. Hermann DM, Bassetti CL. Sleep-related breathing and sleep-wake disturbances in ischemic stroke. Neurology. 2009;73(16):1313-1322. doi:10.1212/wnl.0b013e3181bd137c - DOI - PubMed
    1. Baylan S, Griffiths S, Grant N, Broomfield NM, Evans JJ, Gardani M. Incidence and prevalence of post-stroke insomnia: a systematic review and meta-analysis. Sleep Med Rev. 2020;49:101222. doi:10.1016/j.smrv.2019.101222 - DOI - PubMed
    1. Gottesman RF, Lutsey PL, Benveniste H, et al. . Impact of sleep disorders and disturbed sleep on brain health: a scientific statement from the American Heart Association. Stroke. 2024;55(3):e61-e76. doi:10.1161/str.0000000000000453 - DOI - PubMed
    1. Cannistraro RJ, Badi M, Eidelman BH, Dickson DW, Middlebrooks EH, Meschia JF. CNS small vessel disease: a clinical review. Neurology. 2019;92(24):1146-1156. doi:10.1212/wnl.0000000000007654 - DOI - PMC - PubMed
    1. Wardlaw JM, Smith EE, Biessels GJ, et al. . Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. Lancet Neurol. 2013;12(8):822-838. doi:10.1016/S1474-4422(13)70124-8 - DOI - PMC - PubMed

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