Different cardiovascular risk factors are related to distinct white matter hyperintensity MRI phenotypes in older adults

Cognitive Neuroscience Computer applications to medicine. Medical informatics Clinical Neurology R858-859.7 Cerebral small vessel disease Cognitive decline 03 medical and health sciences Magnetic resonance imaging 0302 clinical medicine Risk Factors Journal Article White matter hyperintensities magnetic resonance imaging risk factors Humans RC346-429 Cardiovascular risk factors White Matter/diagnostic imaging leukoaraiosis Leukoaraiosis Regular Article Cardiovascular Diseases/diagnostic imaging Magnetic Resonance Imaging White Matter 3. Good health Phenotype Neurology Radiology Nuclear Medicine and imaging Cardiovascular Diseases Heart Disease Risk Factors Neurology. Diseases of the nervous system
DOI: 10.1016/j.nicl.2022.103131 Publication Date: 2022-07-30T07:29:39Z
ABSTRACT
The underlying mechanisms of the association between cardiovascular risk factors and a higher white matter hyperintensity (WMH) burden are unknown. We investigated the association between cardiovascular risk factors and advanced WMH markers in 155 non-demented older adults (mean age: 71 ± 5 years). The association between cardiovascular risk factors and quantitative MRI-based WMH shape and volume markers were examined using linear regression analysis. Presence of hypertension was associated with a more irregular shape of periventricular/confluent WMH (convexity (B (95 % CI)): -0.12 (-0.22--0.03); concavity index: 0.06 (0.02-0.11)), but not with total WMH volume (0.22 (-0.15-0.59)). Presence of diabetes was associated with deep WMH volume (0.89 (0.15-1.63)). Body mass index or hyperlipidemia showed no association with WMH markers. In conclusion, different cardiovascular risk factors seem to be related to a distinct pattern of WMH shape markers in non-demented older adults. These findings may suggest that different underlying cardiovascular pathological mechanisms lead to different WMH MRI phenotypes, which may be valuable for early detection of individuals at risk for stroke and dementia.
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