White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the <scp>UK</scp> Biobank

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short-interval WMH change and cognitive performance in population-based cohorts remain incompletely defined. We examined these associations in the UK Biobank imaging cohort. METHODS: We conducted cross-sectional analyses with an exploratory longitudinal subset in propensity score-matched cohorts excluding major neurologic and cerebrovascular disease before imaging. SA was identified from hospital records and self-reports prior to brain magnetic resonance imaging (MRI). Head-size-normalized WMH volumes were analysed on the log1p scale using multivariable linear regression with robust standard errors. Total WMH was the primary outcome; periventricular WMH (PWMH), deep WMH (DWMH) and cognitive measures were secondary outcomes. Mediation analyses evaluated WMH as a mediator of SA-cognition associations. RESULTS: In cross-sectional analyses (N = 12,890; mean age, 67.4 years; 27.2% women), SA was associated with greater WMH burden. Total WMH volume was 10.7% higher among participants with SA (95% CI, 5.0%-16.6%; p < 0.001). PWMH and DWMH volumes were 10.0% (95% CI, 4.7%-15.7%; q < 0.001) and 15.7% (95% CI, 7.1%-25.1%; q < 0.001) higher, respectively. SA was associated with modestly worse cognitive performance, with effect estimates attenuated after adjustment for WMH burden and cardiometabolic conditions. Mediation analyses indicated that WMH burden, particularly PWMH, mediated associations between SA and cognitive performance. In the longitudinal subset (N = 698; median follow-up, 2.26 years), no significant between-group differences were observed in annualized WMH change. CONCLUSIONS: In this large population-based imaging cohort, SA was associated with higher WMH burden, a key neuroimaging marker of CSVD. Cognitive differences were modest, but WMH burden, particularly PWMH, consistently mediated associations between SA and cognitive performance. Longer term studies are needed to clarify temporal relationships and potential treatment effects.

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Journal
Annals of Clinical and Translational Neurology
Published
2026-05-12
DOI
https://doi.org/10.1002/acn3.70393
Primary Topic
Obstructive Sleep Apnea Research
Type
article
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article

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

D Z Carvalho, Peng Cheng, Shahid Karim, Virend K. Somers et al.
Annals of Clinical and Translational Neurology
Obstructive Sleep Apnea Research
article

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

D Z Carvalho, Peng Cheng, Shahid Karim, Virend K. Somers, Anwar Chahal
article en

Abstract

BACKGROUND AND PURPOSE: White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short-interval WMH change and cognitive performance in population-based cohorts remain incompletely defined. We examined these associations in the UK Biobank imaging cohort. METHODS: We conducted cross-sectional analyses with an exploratory longitudinal subset in propensity score-matched cohorts excluding major neurologic and cerebrovascular disease before imaging. SA was identified from hospital records and self-reports prior to brain magnetic resonance imaging (MRI). Head-size-normalized WMH volumes were analysed on the log1p scale using multivariable linear regression with robust standard errors. Total WMH was the primary outcome; periventricular WMH (PWMH), deep WMH (DWMH) and cognitive measures were secondary outcomes. Mediation analyses evaluated WMH as a mediator of SA-cognition associations. RESULTS: In cross-sectional analyses (N = 12,890; mean age, 67.4 years; 27.2% women), SA was associated with greater WMH burden. Total WMH volume was 10.7% higher among participants with SA (95% CI, 5.0%-16.6%; p < 0.001). PWMH and DWMH volumes were 10.0% (95% CI, 4.7%-15.7%; q < 0.001) and 15.7% (95% CI, 7.1%-25.1%; q < 0.001) higher, respectively. SA was associated with modestly worse cognitive performance, with effect estimates attenuated after adjustment for WMH burden and cardiometabolic conditions. Mediation analyses indicated that WMH burden, particularly PWMH, mediated associations between SA and cognitive performance. In the longitudinal subset (N = 698; median follow-up, 2.26 years), no significant between-group differences were observed in annualized WMH change. CONCLUSIONS: In this large population-based imaging cohort, SA was associated with higher WMH burden, a key neuroimaging marker of CSVD. Cognitive differences were modest, but WMH burden, particularly PWMH, consistently mediated associations between SA and cognitive performance. Longer term studies are needed to clarify temporal relationships and potential treatment effects.

Annals of Clinical and Translational Neurology
St Bartholomew's Hospital (GB), Mayo Clinic (US), Queen Mary University of London (GB), Barts Health NHS Trust (GB), Second Hospital of Shandong University (CN), WellSpan Health (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US), William Harvey Research Institute (GB), Qilu Hospital of Shandong University (CN)
Good health and well-being
Openalex Percentile: Top 5%
Obstructive Sleep Apnea Research
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