Abstract 4143721: Large Sample Size Magnetic Resonance Imaging Measurements to Assess the Relation between Cardiac Function and Structure and White Matter Hyperintensity Volumes.

Background: People with established cardiovascular disease (CVD) are at risk of early cognitive decline, and neurodegenerative diseases such as dementia. White matter hyperintensities (WMH) of presumed vascular origin are associated with progressive cerebrovascular disease and risk factors for CVD. The shared risk factors include blood pressure, sedentary lifestyle, genomic risk factors like APOE4 mutations. The extent to which common risk factors explain the co-occurrence of CVD and neurological diseases is unclear. Purpose: To determine the extent of which CMR measurements associated with WMH independent of known cerebrovascular risk factors. Methods: Cardiac and brain MRI images were analysed for 33,198 UK biobank participants. WMH analysis included 5 brain regions (Frontal, Parietal, Temporal, Occipital, Basal Ganglia and Thalami) and total brain WMH volume. Cardiac traits included stroke volumes, atrial volumes, ejection fractions (EF) of right and left chambers, left ventricular (LV) strain, LV wall thickness and aortic areas . Multivariable regression analysis was carried out, where each cardiac trait was regressed on each brain region and adjusted for demographics, cardiac risk factors, family history of disease and socioeconomic factors. Results were evaluated against a multiple testing correct p-value threshold of 0.05, reflecting the number of principle components(n=10) necessary to explain at least 90% of the cardiac trait variability. Results: Higher values of 7 cardiac traits (LV end stroke volume, aortic areas, mid and basal wall thickness) associated with higher WMH volumes for all brain regions. Conversely three traits (LV ejection fraction, descending aorta distensibility and RV ejection fraction) associated positively with lower WMH volumes for all brain regions. LV cardiac output and maximum LAV only associated with frontal lobe WMH volumes. Associations on APOE - ε4 carriership, a known risk factor of Alzheimer’s disease, showed negative association in homozygous carriers between aortic distensibility of the ascending and descending aorta and higher WMH volumes in the frontal and occipital lobes. Conclusions: This study offers insight into WMH burden in a large population of adults. Using cardiac traits as surrogate markers of different cardiac disease could explain how cardiac functionality defines WMH volume distribution and subsequently the wider relationship between cardiovascular and cerebrovascular disease.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4143721
Primary Topic
Advanced MRI Techniques and Applications
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article
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article

Abstract 4143721: Large Sample Size Magnetic Resonance Imaging Measurements to Assess the Relation between Cardiac Function and Structure and White Matter Hyperintensity Volumes.

Amand F. Schmidt, Carole H. Sudre, Nikhil Paliwal, Adama Saccoh
Circulation
Advanced MRI Techniques and Applications
article

Abstract 4143721: Large Sample Size Magnetic Resonance Imaging Measurements to Assess the Relation between Cardiac Function and Structure and White Matter Hyperintensity Volumes.

Amand F. Schmidt, Carole H. Sudre, Nikhil Paliwal, Adama Saccoh
article en

Abstract

Background: People with established cardiovascular disease (CVD) are at risk of early cognitive decline, and neurodegenerative diseases such as dementia. White matter hyperintensities (WMH) of presumed vascular origin are associated with progressive cerebrovascular disease and risk factors for CVD. The shared risk factors include blood pressure, sedentary lifestyle, genomic risk factors like APOE4 mutations. The extent to which common risk factors explain the co-occurrence of CVD and neurological diseases is unclear. Purpose: To determine the extent of which CMR measurements associated with WMH independent of known cerebrovascular risk factors. Methods: Cardiac and brain MRI images were analysed for 33,198 UK biobank participants. WMH analysis included 5 brain regions (Frontal, Parietal, Temporal, Occipital, Basal Ganglia and Thalami) and total brain WMH volume. Cardiac traits included stroke volumes, atrial volumes, ejection fractions (EF) of right and left chambers, left ventricular (LV) strain, LV wall thickness and aortic areas . Multivariable regression analysis was carried out, where each cardiac trait was regressed on each brain region and adjusted for demographics, cardiac risk factors, family history of disease and socioeconomic factors. Results were evaluated against a multiple testing correct p-value threshold of 0.05, reflecting the number of principle components(n=10) necessary to explain at least 90% of the cardiac trait variability. Results: Higher values of 7 cardiac traits (LV end stroke volume, aortic areas, mid and basal wall thickness) associated with higher WMH volumes for all brain regions. Conversely three traits (LV ejection fraction, descending aorta distensibility and RV ejection fraction) associated positively with lower WMH volumes for all brain regions. LV cardiac output and maximum LAV only associated with frontal lobe WMH volumes. Associations on APOE - ε4 carriership, a known risk factor of Alzheimer’s disease, showed negative association in homozygous carriers between aortic distensibility of the ascending and descending aorta and higher WMH volumes in the frontal and occipital lobes. Conclusions: This study offers insight into WMH burden in a large population of adults. Using cardiac traits as surrogate markers of different cardiac disease could explain how cardiac functionality defines WMH volume distribution and subsequently the wider relationship between cardiovascular and cerebrovascular disease.

CirculationVol. 150(Suppl_1)
University College London (GB)
Good health and well-being
Openalex Percentile: Top 66%
Advanced MRI Techniques and Applications
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