Abstract 15127: Association of Cardiac Structure and Function With Advanced Magnetic Resonance Cerebral Measures: The Cardia Study
Aims: We hypothesized that measures of early cardiac dysfunction would be associated with morphofunctional parameters of the brain in a large cohort of middle-aged Caucasians and African-Americans. We explore relations of brain parameters by advanced MRI techniques with cardiac remodeling and function by speckle tracking and standard echo techniques.
Methods: We included 719 Caucasian and African-American participants of the CARDIA study with echo and brain MRI at year-25 (2010-2011). Echo assessed Ao root diameter, LV mass to volume ratio, LVEF, Tissue Doppler e’, as well as circumferential, longitudinal and radial strain rate parameters. MRI diffusion tensor imaging, T1[[Unable to Display Character: ‐]]weighted FLAIR, T2[[Unable to Display Character: ‐]]weighted FSE, and, on a subset, ASL perfusion sequences were used to assess white matter fractional anisotropy (FA), abnormal tissue volume, and grey matter cerebral blood flow (CBF). Linear regression explored relations between cardiac parameters and cerebral measures, adjusting for anthropometrics, risk factors, and brain constitutional variation.
Results: Mean age was 50±4 years, SBP 118±15mmHg; 60% were white, 48% men, 10% had diabetes. CBF was 46±9mL/100g/min, FA 0.31±0.02, and white matter abnormal tissue 0.51±0.5mL. Worse circumferential systolic deformation, larger Ao root, and diastolic dysfunction related to worse FA. Longitudinal systolic dysfunction, Ao root enlargement, and diastolic dysfunction were associated with higher abnormal white matter. Worse radial systolic deformation was related to worse CBF in multivariable models (Table).
Conclusion: Early cardiac remodeling and dysfunction were independently related to FA and abnormal white matter. Our findings suggest that risk-related early cardiac dysfunction and white matter abnormalities are present and associated in middle-aged generally healthy individuals. Associations of CBF to CV abnormalities may be explained by relationships of these early stage parameters to the same CV risk factors.
- © 2013 by American Heart Association, Inc.