scholarly journals Associations between vascular risk factors and brain MRI indices in UK Biobank

2019 ◽  
Author(s):  
SR Cox ◽  
DM Lyall ◽  
SJ Ritchie ◽  
ME Bastin ◽  
MA Harris ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Vascular Risk Factors ◽  
Community Dwelling ◽  
Older Age ◽  
Effect Sizes ◽  
Grey Matter Volume ◽  
Vascular Risk ◽  
Uk Biobank ◽  
Brain Health

AbstractAimsSeveral factors are known to increase risk for cerebrovascular disease and dementia, but there is limited evidence on associations between multiple vascular risk factors (VRFs) and detailed aspects of brain macro- and microstructure in large community-dwelling populations across middle- and older age.Methods and ResultsAssociations between VRFs (smoking, hypertension, pulse pressure, diabetes, hypercholersterolaemia, BMI, and waist-hip ratio) and both global and regional brain structural and diffusion MRI markers were examined in UK Biobank (N = 9722, age range 44-77 years). A larger number of VRFs was associated with greater brain atrophy, lower grey matter volume, and poorer white matter health. Effect sizes were small (brain structural R2 ≤ 1.8%). Higher aggregate vascular risk was related to multiple regional MRI hallmarks associated with dementia risk: lower frontal and temporal cortical volumes, lower subcortical volumes, higher white matter hyperintensity volumes, and poorer white matter microstructure in association and thalamic pathways. Smoking pack years, hypertension and diabetes showed the most consistent associations across all brain measures. Hypercholesterolaemia was not uniquely associated with any MRI marker.ConclusionHigher levels of VRFs were associated with poorer brain health across grey and white matter macro- and microstructure. Effects are mainly additive, converging upon frontal and temporal cortex, subcortical structures, and specific classes of white matter fibres. Though effect sizes were small, these results emphasise the vulnerability of brain health to vascular factors even in relatively healthy middle and older age, and the potential to partly ameliorate cognitive decline by addressing these malleable risk factors.

scholarly journals Associations between vascular risk factors and brain MRI indices in UK Biobank

2019 ◽  
Vol 40 (28) ◽  
pp. 2290-2300 ◽  
Author(s):  
Simon R Cox ◽  
Donald M Lyall ◽  
Stuart J Ritchie ◽  
Mark E Bastin ◽  
Mathew A Harris ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
Vascular Risk Factors ◽  
Community Dwelling ◽  
Older Age ◽  
Effect Sizes ◽  
Grey Matter Volume ◽  
Vascular Risk ◽  
Uk Biobank ◽  
Brain Health

AbstractAimsSeveral factors are known to increase risk for cerebrovascular disease and dementia, but there is limited evidence on associations between multiple vascular risk factors (VRFs) and detailed aspects of brain macrostructure and microstructure in large community-dwelling populations across middle and older age.Methods and resultsAssociations between VRFs (smoking, hypertension, pulse pressure, diabetes, hypercholesterolaemia, body mass index, and waist–hip ratio) and brain structural and diffusion MRI markers were examined in UK Biobank (N = 9722, age range 44–79 years). A larger number of VRFs was associated with greater brain atrophy, lower grey matter volume, and poorer white matter health. Effect sizes were small (brain structural R2 ≤1.8%). Higher aggregate vascular risk was related to multiple regional MRI hallmarks associated with dementia risk: lower frontal and temporal cortical volumes, lower subcortical volumes, higher white matter hyperintensity volumes, and poorer white matter microstructure in association and thalamic pathways. Smoking pack years, hypertension and diabetes showed the most consistent associations across all brain measures. Hypercholesterolaemia was not uniquely associated with any MRI marker.ConclusionHigher levels of VRFs were associated with poorer brain health across grey and white matter macrostructure and microstructure. Effects are mainly additive, converging upon frontal and temporal cortex, subcortical structures, and specific classes of white matter fibres. Though effect sizes were small, these results emphasize the vulnerability of brain health to vascular factors even in relatively healthy middle and older age, and the potential to partly ameliorate cognitive decline by addressing these malleable risk factors.

scholarly journals Defining Vascular Cognitive Impairment in India—A Descriptive Study of MRI Volumetry vs. Cognition in 'Normal' Adults

2021 ◽  
Author(s):  
Uma Sundar ◽  
Amita Mukhopadhyay ◽  
Sheelakumari Raghavan ◽  
Ramshekhar Menon ◽  
Chandrasekharan Kesavadas ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
White Matter ◽  
Vascular Cognitive Impairment ◽  
Vascular Risk Factors ◽  
Grey Matter Volume ◽  
Intracranial Volume ◽  
Vascular Risk ◽  
Cognitive Score ◽  
Mri Volumetry

Background: It is important to establish criteria to define Vascular Cognitive Impairment (VCI) in India as VCI is an image-based diagnosis and MRI changes resulting from age with prevalent vascular risk factors may confound MRI interpretation. Objective: To establish normative community data for MRI volumetry including white matter hyperintensity volume (WMHV), correlated with age-stratified cognitive scores and vascular risk factors in adults ≥40 years old. Materials and Methods: We screened 2651 individuals without known neurological morbidity, living in Mumbai and nearby rural areas, using validated Marathi translations of Kolkata Cognitive Battery (KCB) and Geriatric depression score (GDS). We stratified 1961 persons with GDS ≤9 by age and cognitive score, and randomly selected ten percent from each subgroup for MRI brain volumetry. Crude volumes were standardized to reflect percentage of intracranial volume. Results: MRI volumetry studies were done in 199 individuals (F/M = 90/109; 73 with BMI ≥ 25; 44 hypertensives; 29 diabetics; mean cognitive score 76.5). Both grey and white matter volumes decreased with increasing age. WMHV increased with age and hypertension. Grey matter volume decreased with increasing WMHV. Positive predictors of cognition included standardized hippocampal volume (HCV), urban living, education, and BMI, while WMHV and age were negative predictors. Urban dwellers had higher cognitive scores than rural, and (paradoxically) smaller HCV. Conclusions: Further study is warranted into sociodemographic and biological factors that mutually influence cognition. Our findings contribute to baseline diagnostic criteria for VCI and could help in early diagnosis and control of cognitive decline and its key risk factors.

Vascular and non-vascular risk factors for deep white matter lesions in community-dwelling elderly subjects

2003 ◽  
Vol 3 (1) ◽  
pp. 36-43
Author(s):  
Hiroshi Yao ◽  
Takefumi Yuzuriha ◽  
Hiroshi Koga ◽  
Yuki Takashima ◽  
Kenji Fukuda ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Lesions ◽  
Vascular Risk Factors ◽  
Community Dwelling ◽  
Elderly Subjects ◽  
Vascular Risk ◽  
Deep White Matter

Abstract P614: Effect Sizes of Vascular Risk Factors for Stroke Occurrence by Age Among West Africans

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Mayowa Owolabi ◽  
FRED S SARFO ◽  
Onoja Akpa ◽  
Joshua Akinyemi ◽  
Albert Akpalu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Middle Age ◽  
Meat Consumption ◽  
The Elderly ◽  
Vascular Risk Factors ◽  
Effect Sizes ◽  
Modifiable Risk Factors ◽  
Age Group ◽  
Vascular Risk ◽  
Elderly Age

Background: Age is a non-modifiable risk factor for stroke occurrence due its influence on vascular risk factor acquisition. In sub-Saharan Africa, the effect sizes of vascular risk factors for stroke occurrence by age is unknown. Objective: To quantify the magnitude and direction of the effect sizes of key modifiable risk factors of stroke according to three age groups: <50years(young), 50-65 years(middle age) and >65 years(elderly) in West Africa. Methods: The Stroke Investigative Research and Educational Network (SIREN) is a multicenter, case-control study involving 15 sites in Ghana and Nigeria. Cases include adults aged ≥18 years with evidence of an acute stroke. Controls were age-and-gender matched stroke-free adults. Detailed evaluations for vascular, lifestyle, stroke severity and outcomes were performed. We used conditional logistic regression to estimate adjusted odds ratios (aOR) of vascular risk factors of stroke. Results: Among 3,553 stroke cases, 813(22.9%) were young, 1441(40.6%) were middle-aged and 1299(36.6%) were elderly. Five modifiable risk factors were consistently associated with stroke occurrence regardless of age namely hypertension, dyslipidemia, diabetes mellitus, regular meat consumption and non-consumption of green vegetables. Among the 5 co-shared risk factors, the effect size, aOR(95%CI) of dyslipidemia, 4.13(2.64-6.46), was highest among the young age group, hypertension, 28.93(15.10-55.44) and non-consumption of vegetables 2.34(1.70-3.23) was highest among the middle-age group while diabetes, aOR of 3.50(2.48-4.95) and meat consumption, 2.40(1.76-3.26) were highest among the elderly age group. Additionally, among the young age group cigarette smoking and cardiac disease were associated with stroke. Furthermore, physical inactivity and salt intake were associated with stroke in the middle-age group while cardiac disease was associated with stroke in the elderly age group. Conclusions: Age has a profound influence on the profile, magnitude and direction of effect sizes of vascular risk factors for stroke occurrence among West Africans. Population-level prevention of stroke must target both co-shared dominant risk factors as well as factors that are unique to specific age bands in Africa.

Abstract TMP58: Determinants of White Matter Hyperintensity in Acute Ischemic Stroke Patients: The MRI-GENIE Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D Schirmer ◽  
Adrian V Dalca ◽  
Ramesh Sridharan ◽  
Lisa Cloonan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
White Matter ◽  
Stroke Risk ◽  
Smoking Status ◽  
Vascular Risk Factors ◽  
White Matter Hyperintensity ◽  
Vascular Risk ◽  
Prior Stroke

Introduction: White matter hyperintensity (WMH) is a highly heritable trait and a significant contributor to stroke risk and severity. Vascular risk factors contribute to WMH severity; however, knowledge of the determinants of WMH in acute ischemic stroke (AIS) is still limited. Hypothesis: WMH volume (WMHv) varies across AIS subtypes and is modified by vascular risk factors. Methods: We extracted WMHv from the clinical MRI scans of 2683 AIS subjects from the MRI-Genetics Interface Exploration (MRI-GENIE) study using a novel fully-automated, volumetric analysis pipeline. Demographic data, stroke risk factors and stroke subtyping for the Causative Classification of Stroke (CCS) were performed at each of the 12 international study sites. WMHv was natural log-transformed for linear regression analyses. Results: Median WMHv was 5.7cm 3 (interquartile range (IQR): 2.2-12.8cm 3 ). In univariable analysis, age (63.1 ± 14.7 years, β=0.04, SE=0.002), prior stroke (10.2%, β=0.66, SE=0.08), hypertension (65.4%, β=0.75, SE=0.05), diabetes mellitus (23.1%, β=0.35, SE=0.06), coronary artery disease (17.6%, β=0.04, SE=0.002), and atrial fibrillation (14.6%, β=0.48, SE=0.07) were significant predictors of WMHv (all p<0.0001), as well as smoking status (52.2%, β=0.15, SE=0.05, p=0.005), race (16.5% Non-Caucasian, β=0.25, SE=0.07) and ethnicity (8.2% Hispanic, β=0.30, SE=0.11) (all p<0.01). In multivariable analysis, age (β=0.04, SE=0.002), prior stroke (β=0.56, SE=0.08), hypertension (β=0.33, SE=0.05), smoking status (β=0.16, SE=0.05), race (β=0.42, SE=0.06), and ethnicity (β=0.34, SE=0.09) were independent predictors of WMHv (all p<0.0001), as well as diabetes mellitus (β=0.13, SE=0.06, p=0.02). WMHv differed significantly (p<0.0001, unadjusted) across CCS stroke subtypes: cardioembolic stroke (8.0cm 3 , IQR: 4.2-15.4cm 3 ), large-artery stroke (6.9cm 3 , IQR: 3.1-14.7cm 3 ), small-vessel stroke (5.8cm 3 , IQR: 2.5-13.5cm 3 ), stroke of undetermined (4.7cm 3 , IQR: 1.6-11.0cm 3 ) or other (2.55cm 3 , IQR: 0.9-8.8cm 3 ) causes. Conclusion: In this largest-to-date, multicenter hospital-based cohort of AIS patients with automated WMHv analysis, common vascular risk factors contribute significantly to WMH burden and WMHv varies by CCS subtype.

P2-115: Influence of vascular risk factors on cognitive performance in community-dwelling African Americans

2008 ◽  
Vol 4 ◽  
pp. T405-T405
Author(s):  
Christine M. Khosropour ◽  
N. Maritza Dowling ◽  
Whitney Wharton ◽  
Dorothy F. Edwards ◽  
Cynthia M. Carlsson ◽  
...  
Keyword(s):  
Risk Factors ◽  
African Americans ◽  
Cognitive Performance ◽  
Vascular Risk Factors ◽  
Community Dwelling ◽  
Vascular Risk

Vascular risk factors predisposing to white matter hyperintensities: Сross-sectional study

2013 ◽  
Vol 333 ◽  
pp. e254-e255
Author(s):  
A. Amintaeva ◽  
M. Kravchenko ◽  
O. Andreeva ◽  
Y. Varakin ◽  
G. Gornostaeva ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Sectional Study
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