Marker Of Cerebrovascular Disease Research Articles

Neuroimaging and neuropathology indices of cerebrovascular disease burden: A systematic review.

To systematically review the literature on the use of both neuroimaging and neuropathologic indices of cerebrovascular disease (CVD) burden, as estimation of this burden could have multiple benefits in the diagnosis and prognosis of cognitive impairment and dementia. MEDLINE and EMBASE databases were searched (inception to June 2017) to obtain and then systematically review all pertinent neuroimaging and neuropathology studies, where an index of CVD was developed or tested. Twenty-five neuroimaging articles were obtained, which included 4 unique indices. These utilized a limited range of CVD markers from mainly structural MRI, most commonly white matter hyperintensities (WMH), cerebral microbleeds, and dilated perivascular spaces. Weighting of the constituent markers was often coarse. There were 7 unique neuropathology indices, which were heterogeneous in their regions sampled and lesions examined. There is increasing interest in indices of total CVD burden that incorporate multiple lesions, as traditional individual markers of CVD such as WMH only provide limited information. Neuropathologic indices are needed to validate neuroimaging findings. The studies clearly demonstrated proof of concept that information from multiple imaging measures of CVD provide more information, including a stronger association with cognitive impairment and dementia, than that provided by a single measure. There has been limited exploration of the psychometric properties of published indices and no comparison between indices. Further development of indices is recommended, including the use of data from diffusion tensor and perfusion imaging.

White matter hyperintensities and the mediating role of cerebral amyloid angiopathy in dominantly-inherited Alzheimer's disease.

IntroductionWhite matter hyperintensity (WMH) volume on MRI is increased among presymptomatic individuals with autosomal dominant mutations for Alzheimer’s disease (AD). One potential explanation is that WMH, conventionally considered a marker of cerebrovascular disease, are a reflection of cerebral amyloid angiopathy (CAA) and that increased WMH in this population is a manifestation of this vascular form of primary AD pathology. We examined whether the presence of cerebral microbleeds, a marker of CAA, mediates the relationship between WMH and estimated symptom onset in individuals with and without autosomal dominant mutations for AD.Participants and methodsParticipants (n = 175, mean age = 41.1 years) included 112 with an AD mutation and 63 first-degree non-carrier controls. We calculated the estimated years from expected symptom onset (EYO) and analyzed baseline MRI data for WMH volume and presence of cerebral microbleeds. Mixed effects regression and tests of mediation were used to examine microbleed and WMH differences between carriers and non-carriers and to test the whether the association between WMH and mutation status is dependent on the presence of microbleeds.ResultsMutation carriers were more likely to have microbleeds than non-carriers (p<0.05) and individuals with microbleeds had higher WMH volume than those without (p<0.05). Total WMH volume was increased in mutation carriers compared with non-carriers, up to 20 years prior to EYO, after controlling for microbleed status, as we demonstrated previously. Formal testing of mediation demonstrated that 21% of the association between mutation status and WMH was mediated by presence of microbleeds (p = 0.03) but a significant direct effect of WMH remained (p = 0.02) after controlling for presence of microbleeds.DiscussionAlthough there is some co-dependency between WMH and microbleeds, the observed increases in WMH among mutation carriers does not appear to be fully mediated by this marker of CAA. The findings highlight the possibility that WMH represent a core feature of AD independent of vascular forms of beta amyloid.

Greater depressive symptoms, cognition, and markers of brain aging: Northern Manhattan Study.

We examined whether greater depressive symptoms were associated with domain-specific cognitive performance, change in cognition, and MRI markers of brain atrophy and subclinical cerebrovascular disease in a diverse sample of older adults from the Northern Manhattan Study. Data were analyzed from the Northern Manhattan Study, a prospective cohort study of mostly Caribbean Hispanic, stroke-free, older adults. A total of 1,111 participants had baseline measures of depressive symptoms, measured as the Center of Epidemiological Studies-Depression Scale, MRI markers, and cognitive function. A Center of Epidemiological Studies-Depression score ≥16 was considered indicative of greater depressive symptoms. Multivariable linear and logistic regression models were used to examine the associations of interest. At baseline, 22% of participants had greater depressive symptoms. Greater depressive symptoms were significantly associated with worse baseline episodic memory in models adjusted for sociodemographic, vascular risk factor, behavioral, and antidepressive medication variables (β [95% confidence interval] = -0.21 [-0.33 to -0.10], p = 0.0003). Greater depressive symptoms were also associated with smaller cerebral parenchymal fraction (β [95% confidence interval] = -0.56 [-1.05 to -0.07], p = 0.02) and increased odds of subclinical brain infarcts (odds ratio [95% confidence interval] = 1.55 [1.00-2.42], p = 0.05), after adjustment for sociodemographic, behavioral, and vascular risk factor variables. Greater depressive symptoms were not significantly associated with white matter hyperintensity volume, hippocampal volume, or change in cognition over an average of 5 years. Results were unchanged when stabilized inverse probability weights were applied to address selective attrition during the study period. In this sample of mostly Caribbean Hispanic, stroke-free, older adults, greater depressive symptoms were associated with worse episodic memory, smaller cerebral volume, and silent infarcts.

Age and Alzheimer's pathology disrupt default mode network functioning via alterations in white matter microstructure but not hyperintensities

The default mode network (DMN) comprises defined brain regions contributing to internally-directed thought processes. Reductions in task-induced deactivation in the DMN have been associated with increasing age and poorer executive task performance, but factors underlying these functional changes remain unclear. We investigated contributions of white matter (WM) microstructure, WM hyperintensities (WMH) and Alzheimer's pathology to age-related alterations in DMN function. Thirty-five cognitively normal older adults and 29 younger adults underwent working memory task fMRI and diffusion tensor imaging. In the older adults, we measured cerebrospinal fluid tau and Aβ42 (markers of AD pathology), and WMH on FLAIR imaging (marker of cerebrovascular disease). We identified a set of regions showing DMN deactivation and a set of inter-connecting WM tracts (DMN-WM) common to both age groups. There were negative associations between DMN deactivation and task performance in older adults, consistent with previous studies. Decreased DMN deactivation was associated with AD pathology and WM microstructure but not with WMH volume. Mediation analyses showed that WM microstructure mediated declines in DMN deactivation associated with both aging and AD pathology. Together these results suggest that AD pathology may exert a “second-hit” on WM microstructure, over-and-above the effects of age, both contributing to diminished DMN deactivation in older adults.

Abstract P020: Atrial Fibrillation and White Matter Microstructural Integrity: The Atherosclerosis Risk in Communities Neurocognitive Study

Background: Evidence suggests atrial fibrillation (AF) is associated with increased risk of cognitive decline and dementia, even in the absence of stroke. Pathways such as AF-induced brain hypoperfusion and small vessel disease resulting in white matter abnormalities may also compromise cerebrovasculature and brain tissue, which would lead to cognitive impairment and dementia. However, mechanisms responsible for the association between AF and cognitive impairment independent of stroke and cerebral infarcts remain relatively unexplored. The study aims to assess the cross-sectional association between prevalent AF and white matter microstructural integrity (WMMI) as a marker for cerebrovascular disease. Methods: We performed a cross-sectional analysis of 1937 participants attending the ARIC-Neurocognitive Study (ARIC-NCS) in 2011-2013 that were either black or white and with brain magnetic resonance imaging (MRI). Prevalent AF was defined by a history of AF based on study ECG and hospitalization record. WMMI was defined using regional average fractional anisotropy and mean diffusivity from Diffusion Tensor Imaging measurements in the MRI. We excluded participants with a prior history of stroke or cerebral infarct. A multivariable regression model was used to assess the association between AF and WMMI measures. Results: Among 1943 participants (mean age = 76 years, 28% black, 60% female), 7% (N= 133) had prevalent AF. After multivariable adjustment, prevalence of AF was not associated with WMMI measurements (Table). Conclusion: In a community-based study, prevalent AF was not independently associated with WMMI in the absence of stroke or cerebral infarct. However, the reduced sample size of the AF population as well as the cross-sectional study design are important limitations. Further longitudinal studies are needed to investigate prospectively the association of AF with early markers of white matter disease.

Retinal Microvascular Abnormalities as Surrogate Markers of Cerebrovascular Ischemic Disease: A Meta-Analysis

To determine the predictive value of retinal microvascular abnormalities for cerebrovascular ischemic diseases (CVDs), we aimed to investigate the quantitative association between retinal microvascular changes and CVD subcategories: white matter hyperintensities (WMHIs), lacunar infarcts (LIs), and cerebral infarctions (CIs). Using Meta-analyses Of Observational Studies in Epidemiology guidelines, we searched 6 databases through September 2016 for studies evaluating the linkage between retinal microvascular abnormalities and WMHI, and LI and CI. Studies were included if they reported odds ratios (ORs) and 95% confidence intervals or raw patient level data (that were computed into ORs). Unadjusted and vascular risk-factor adjusted ORs were pooled into meta-analysis using DerSimonian Laird random effects model. Study quality and dissemination biases were assessed and integrated. From 24,444 search-identified records, 28 prospective studies encompassing 56,379 patients were eligible for the meta-analysis. After vascular risk-factor adjustment, focal arteriolar narrowing was associated with WMHI (OR, 1.24 [1.01-1.79]), LI (OR, 1.77 [1.14-2.74]), and CI (OR, 1.75 [1.14-2.69]). Venular dilation was associated with LI (OR, 1.46 [1.10-1.93]), and retinal hemorrhages with WMHI (OR, 2.23 [1.34-3.70]). Any retinopathy exhibited significant association with CI (OR, 1.96 [1.65-2.50]). Heterogeneity was significant (I2>50%) for all syntheses except retinal hemorrhages and WMHI, and retinopathy and CI (I2=0 ⋅ 0%). Associations remained significant after adjustments for quality and publication bias. We found the most significant association between retinal hemorrhages and WMHI. Focal arteriolar narrowing and retinopathy predicted CVD subtypes after risk-factor adjustment, suggesting that features different than traditional vascular risk factors, are involved in CVD pathophysiology.

Journal Club: Relationship between carotid arterial properties and cerebral white matter hyperintensities.

White matter hyperintensities (WMH) are generally diagnosed on brain MRI and are associated with risk of stroke, dementia, death, and functional impairment.1,2 Their progression appears to be insidious, and the detection of preclinical disease could provide the opportunity to aggressively manage risk factors (i.e., reduced thresholds to begin hypertension treatment, lowering blood pressure targets), increase monitoring frequency, and begin secondary prevention strategies in the case of silent infarcts (i.e., initiation of antiplatelet therapy with silent strokes, CT angiography as needed). Given that most people do not receive neuroimaging in the presymptomatic stage, an inexpensive, noninvasive test could help to identify those at risk. To date, potential vascular markers of cerebrovascular disease have focused on central arterial stiffness3; however, directly assessing the carotid arteries may be more relevant to cerebrovascular disease as this vessel serves as the primary conduit responsible for delivering blood to the brain.

The Association of Long-Term Exposure to Particulate Matter Air Pollution with Brain MRI Findings: The ARIC Study.

Background:Increasing evidence links higher particulate matter (PM) air pollution exposure to late-life cognitive impairment. However, few studies have considered associations between direct estimates of long-term past exposures and brain MRI findings indicative of neurodegeneration or cerebrovascular disease.Objective:Our objective was to quantify the association between brain MRI findings and PM exposures approximately 5 to 20 y prior to MRI in the Atherosclerosis Risk in Communities (ARIC) study.Methods:ARIC is based in four U.S. sites: Washington County, Maryland; Minneapolis suburbs, Minnesota; Forsyth County, North Carolina; and Jackson, Mississippi. A subset of ARIC participants underwent 3T brain MRI in 2011–2013 (). We estimated mean exposures to PM with an aerodynamic diameter less than 10 or ( and ) in 1990–1998, 1999–2007, and 1990–2007 at the residential addresses of eligible participants with MRI data. We estimated site-specific associations between PM and brain MRI findings and used random-effect, inverse variance–weighted meta-analysis to combine them.Results:In pooled analyses, higher mean and exposure in all time periods were associated with smaller deep-gray brain volumes, but not other MRI markers. Higher exposures were consistently associated with smaller total and regional brain volumes in Minnesota, but not elsewhere.Conclusions:Long-term past PM exposure in was not associated with markers of cerebrovascular disease. Higher long-term past PM exposures were associated with smaller deep-gray volumes overall, and higher exposures were associated with smaller brain volumes in the Minnesota site. Further work is needed to understand the sources of heterogeneity across sites. https://doi.org/10.1289/EHP2152

Abstract TP213: Retinal Microvascular Abnormalities as Markers of Cerebrovascular Disease: A Meta-Analysis

Introduction: Despite the recognized linkage between retinal microvascular abnormalities and cerebrovascular ischemic diseases (CVD), the retinal findings’ standardization and the degree of association remain unclear. We aimed to investigate the quantitative association between various retinal microvascular signs and CVD. Hypothesis: retinal microvascular abnormalities best predictive of CVD could be identified by synthesizing estimates of CVD risk from population-based studies. Methods: We followed MOOSE guidelines and systematically searched 6 databases through September 2016 for studies evaluating the association between retinal microvascular abnormalities and white matter hyperintense lesions (WMHI), lacunar infarcts (LI), and cerebral infarctions (CI). Adjusted and unadjusted odds ratios (ORs) and confidence intervals were pooled into the analyses using the DerSimonian and Laird random effects model. Study quality and dissemination biases were assessed and integrated. Results: Thirty-four prospective studies encompassing 84,144 patients were eligible for meta-analysis. After adjustment for vascular risk factors, focal arteriolar narrowing was associated with WMHI (OR, 1.24 [1.01-1.79]), LI (OR, 1.77 [1.14-2.74]), and CI (OR, 1.75 [1.14-2.69]). Venular dilation was significantly associated with LI (OR, 1.46 [1.10-1.93]), whereas retinal hemorrhage was associated with WMHI (OR, 2.23 [1.34-3.70]). Arteriovenous nicking was associated with WMHI (OR, 1.51 [1.22-1.88]) and LI (OR, 1.70 [1.05-2.76]). Any retinopathy exhibited significant association with WMHI, LI, and CI. Heterogeneity was significant ( I 2 &gt;50%) for all syntheses except retinal hemorrhages and WMHI, retinopathy and CI ( I 2 =0.0%) and respectively LI ( I 2 =45.80%). Conclusions: Retinal hemorrhages were most highly associated with WMHI. Focal arteriolar narrowing and retinopathy were associated with WMHI, LI, and CI. Our findings may assist in the development of a noninvasive retinal microvascular tool for routine use in CVD research and clinical practice.

Baseline White Matter Hyperintensities and Hippocampal Volume are Associated With Conversion From Normal Cognition to Mild Cognitive Impairment in the Framingham Offspring Study.

We examined associations between magnetic resonance imaging (MRI) markers of cerebrovascular disease and neurodegeneration with mild cognitive impairment (MCI) diagnosis at baseline and conversion from normal cognition to MCI at follow-up. Framingham Offspring participants underwent brain MRI and neuropsychological assessment at baseline (n=1049) and follow-up (n=561). Participants were classified at baseline and at follow-up as cognitively normal or MCI using sensitive neuropsychological criteria. White matter hyperintensity (WMH) volume, covert brain infarcts, hippocampal volume, and total cerebral brain volume were quantified. Baseline measures of WMH and hippocampal volume were associated with MCI status cross-sectionally and also with conversion from normal cognition to MCI at 6.5-year follow-up. Annualized change rates in total cerebral brain volume and hippocampal volume were associated with conversion from normal cognition to MCI to follow-up. Baseline WMH and hippocampal volume are markers that are both associated with conversion from normal cognition to MCI, highlighting the role of both vascular lesions and neurodegeneration in MCI.

Brain amyloid burden and cerebrovascular disease are synergistically associated with neurometabolism in cognitively unimpaired older adults

Alzheimer's disease (AD) is the most common cause of cognitive dysfunction in older adults. The pathological hallmarks of AD such as beta amyloid (Aβ) aggregation and neurometabolic change, as indicated by altered myo-inositol (mI) and N-acetylaspartate (NAA) levels, typically precede the onset of cognitive dysfunction by years. Furthermore, cerebrovascular disease occurs early in AD, but the interplay between vascular and neurometabolic brain change is largely unknown. Thirty cognitively normal older adults (age = 70 ± 5.6 years, Mini-Mental State Examination = 29.2 ± 1) received 11-C-Pittsburgh Compound B positron emission tomography for estimating Aβ-plaque density, 7 Tesla fluid-attenuated inversion recovery magnetic resonance imaging for quantifying white matter hyperintensity volume as a marker of small vessel cerebrovascular disease and high-resolution magnetic resonance spectroscopic imaging at 7 Tesla, based on free induction decay acquisition localized by outer volume suppression to investigate tissue-specific neurometabolism in the posterior cingulate and precuneus. Aβ (β = 0.45, p = 0.018) and white matter hyperintensities (β = 0.40, p = 0.046) were independently and interactively (β = −0.49, p = 0.026) associated with a higher ratio of mI over NAA (mI/NAA) in the posterior cingulate and precuneus gray matter but not in the white matter. Our data suggest that cerebrovascular disease and Aβ burden are synergistically associated with AD-related gray matter neurometabolism in older adults.

Atrial Fibrillation is Independently Associated with Cognitive Impairment after Ischemic Stroke.

While atrial fibrillation (AF) is an important risk factor for ischemic strokes and mild cognitive impairment (MCI) in Alzheimer's disease, the association between AF and post-stroke cognitive impairment (PSCI), and the factors mediating this association, is unclear. To investigate the role of AF in PSCI, especially in relation to other markers of cerebrovascular disease. 445 subjects with mild ischemic stroke without pre-stroke cognitive decline were assessed 3-6 months post-stroke for cognitive deficits. MRIs were reviewed by trained raters for acute infarct characteristics, global cortical atrophy, white matter hyperintensities, cerebral microbleeds, and intracranial stenosis. Logistic regression analysis was used to identify factors independently associated with PSCI. Subjects were also categorized according to paroxysmal (pAF) or persistent/chronic AF (p/cAF), and presence or absence of AF or large cortical infarcts (LCI) to study cognitive trends. 80 (18.0%) subjects had AF. 76.3% of AF subjects and 42.7% of subjects without AF had PSCI. The odds ratio (OR) of AF in developing PSCI was 2.31 (95% CI: 1.12-4.75; p = 0.035), after correcting for other risk factors. pAF subjects and AF subjects with LCIs had higher ORs for PSCI. AF subjects performed worse in neuropsychological tasks associated with global cognition, episodic memory, and executive function. AF is a significant risk factor for PSCI, even after correcting for AF-related infarcts. Other mechanisms, such as hypoperfusion, microhemorrhages, and neuroinflammation, may be at play. All stroke patients with AF, regardless of the type of infarction, should be closely monitored for PSCI.

Neurofilament light as a marker of cerebrovascular disease in incipient Alzheimer’s disease and subcortical vascular dementia

Neurofilament light as a marker of cerebrovascular disease in incipient Alzheimer’s disease and subcortical vascular dementia

Context is everything: From cardiovascular disease to cerebral microbleeds.

Increasingly, our approach to cerebrovascular disease has become blurred by evidence published in literature often without careful consideration of what this evidence implies for specific patients at hand. In this essay, we analyze key contextual issues in cerebrovascular small vessel disease, in an attempt to highlight the symbolic gap that exists between research and clinical practice, a recurring theme in medicine. We highlight the importance of considering context when using data from epidemiologic, neuroimaging, and biomarker studies in determining relevance to the patient at hand. We argue, that while biomarkers and neuroimaging may eventually serve to help to identify individuals with specific cerebrovascular diseases, we must always continue to understand patients in a specific clinical context. These reflections are particularly relevant when considering cerebral microbleeds-a key marker of cerebrovascular small vessel disease whose detection often raises thorny clinical dilemmas.

Ankle brachial index, MRI markers and cognition: The Epidemiology of Dementia in Singapore study

Background and aimsPrevious studies showed an independent association of low ankle-brachial index (ABI) with cognitive impairment. However, the association between low ABI and cognition in the presence of both cerebrovascular disease (CeVD) and neurodegeneration is lacking. We aimed at investigating a) the association of low ABI with markers of CeVD and cortical thickness, and b) whether the association of low ABI with cognition is influenced by these markers. MethodsData was drawn from the Epidemiology of Dementia In Singapore (EDIS) study where all participants (n = 832) underwent neuropsychological tests and 3T brain magnetic resonance imaging (MRI) to assess CeVD markers as well as cortical thicknesses. Cognitive function was expressed as a global composite z-score and domain-specific z-scores of a comprehensive neuropsychological battery. ResultsMultivariate analyses showed low ABI to be independently associated with intracranial stenosis [odds ratios (OR): 1.51; 95% confidence interval (CI):1.23–1.87] and lacunar infarcts [OR: 1.29; 95% CI: 1.06–1.57]. A low ABI was also independently associated with smaller cortical thickness globally [β: 0.09; 95% CI: 0.27–0.16] as well as with the limbic [β: 0.10; 95% CI: 0.03–0.17], temporal [β: 0.09; 95% CI: 0.02–0.15], parietal [β: 0.08; 95% CI: 0.02–0.15], and occipital [β: 0.09; 95% CI: 0.03–0.16] lobes. Low ABI was associated with worse performance in verbal memory [β: 0.06; 95% CI: 0.01–0.12], which became attenuated in the presence of MRI markers. ConclusionsA low ABI is associated with MRI markers, and affects cognition in the presence of CeVD and neurodegeneration. Atherosclerosis should be targeted as a potentially modifiable risk factor to prevent cognitive disorders.

Increased diastolic blood pressure is associated with MRI biomarkers of dementia-related brain pathology in normative ageing.

hypertension is a risk for brain ageing, but the mechanisms underlying this effect remain unclear. Magnetic resonance imaging (MRI) detected biomarkers of brain ageing include white matter hyperintensities (WMHs), a marker of cerebrovascular disease, and hippocampal volume, a marker of Alzheimer's disease pathology. to examine relationships between blood pressure (BP) components and brain pathology in older adults. two hundred and twenty-seven members of the Aberdeen 1936 Birth Cohort between ages 64 and 68 years. BP was assessed biennially between 64 and 68 years and brain MRI performed at 68 years. The risk factors of interest were diastolic and systolic BP and their visit-to-visit variability. Outcomes were WMH abundance and hippocampal volume. Regression models, controlling for confounding factors, examined their relationships. higher diastolic BP predicted increased WMH (β = 0.13, P = 0.044) and smaller hippocampi (β = -0.25, P = 0.006). In contrast, increased systolic BP predicted larger hippocampi (β = 0.22, P = 0.013). Variability of diastolic BP predicted lower hippocampal volume (β = -0.15, P = 0.033). These relationships were independent of confounding life-course risk factors. Anti-hypertensive medication did not modify these relationships, but was independently associated with increased WMH (β = 0.17, P = 0.011). increased diastolic BP is associated with biomarkers of both cerebrovascular and Alzheimer's diseases, whereas the role of systolic BP is less clear, with evidence for a protective effect on hippocampal volume. These differing relationships emphasise the importance of considering individual BP components with regard to brain ageing and pathology. Interventions targeting diastolic hypertension and its chronic variability may provide new strategies able to slow the accumulation of these harmful pathologies.

Long-Term Exposure to Ambient Air Pollution and Subclinical Cerebrovascular Disease in NOMAS (the Northern Manhattan Study).

Long-term exposure to ambient air pollution is associated with higher risk of cardiovascular disease and stroke. We hypothesized that long-term exposure to air pollution would be associated with magnetic resonance imaging markers of subclinical cerebrovascular disease. Participants were 1075 stroke-free individuals aged ≥50 years drawn from the magnetic resonance imaging subcohort of the Northern Manhattan Study who had lived at the same residence for at least 2 years before magnetic resonance imaging. Cross-sectional associations between ambient air pollution and subclinical cerebrovascular disease were analyzed. We found an association between distance to roadway, a proxy for residential exposure to traffic pollution, and white matter hyperintensity volume; however, after adjusting for risk factors, this relationship was no longer present. All other associations between pollutant measures and white matter hyperintensity volume were null. There was no clear association between exposure to air pollutants and subclinical brain infarcts or total cerebral brain volume. We found no evidence that long-term exposure to ambient air pollution is independently associated with subclinical cerebrovascular disease in an urban population-based cohort.

Relationship between carotid arterial properties and cerebral white matter hyperintensities.

Since arterial stiffness is a functional measure of arterial compliance and may be an important marker of cerebrovascular disease, we examined the association of carotid artery stiffness with white matter hyperintensity volume (WMHV) in a cross-sectional study of 1,166 stroke-free participants. Carotid beta stiffness index (STIFF) was assessed by M-mode ultrasound of the common carotid artery and calculated as the ratio of natural log of the difference between systolic and diastolic blood pressure over STRAIN, a ratio of the difference between carotid systolic and diastolic diameter (DD) divided by DD. WMHV was measured by fluid-attenuated inversion recovery MRI. The associations of STIFF, DD, and STRAIN with WMHV were examined using linear regression after adjusting for sociodemographic, lifestyle, and vascular risk factors. In a fully adjusted model, larger carotid DD was significantly associated with greater log-WMHV (β = 0.09, p = 0.001). STIFF and STRAIN were not significantly associated with WMHV. In adjusted analyses stratified by race-ethnicity, STRAIN (β = -1.78, p = 0.002) and DD (β = 0.11, p = 0.001) were both associated with greater log-WMHV among Hispanic participants, but not among black or white participants. Large carotid artery diameters are associated with greater burden of white matter hyperintensity (WMH) in this multiethnic population. The association between increased diameters, decreased STRAIN, and greater WMH burden is more pronounced among Hispanics. These associations suggest a potential important pathophysiologic role of extracranial large artery remodeling in the burden of WMH.

Medicare Expenditure Correlates of Atrophy and Cerebrovascular Disease in Older Adults

Background/Study Context: Magnetic resonance imaging (MRI) markers of cerebrovascular disease and atrophy are common in older adults and are associated with cognitive and medical burden. However, the extent to which they are related to health care expenditures has not been examined. We studied whether increased Medicare expenditures were associated with brain markers of atrophy and cerebrovascular disease in older adults.Methods: A subset of participants (n = 592; mean age = 80 years; 66% women) from the Washington Heights Inwood Columbia Aging Project (WHICAP), a community-based observational study of aging in upper Manhattan, received high-resolution MRI and had Medicare expenditure data on file. We examined the relationship of common markers of cerebrovascular disease (i.e., white matter hyperintensities and presence of infarcts) and atrophy (i.e., whole brain and hippocampal volume) with Medicare expenditure data averaged over a 10-year period. Main outcome measures were (a) mean Medicare payment per year across the 10-year interval; (b) mean payment for outpatient care per year; and (c) mean payment for inpatient care per year of visit. In addition, we calculated the ratio of mean inpatient spending to mean outpatient spending as well as the ratio of mean inpatient spending to mean total Medicare spending.Results: Increased Medicare spending was associated with higher white matter hyperintensity volume, presence of cerebral infarcts, and smaller total brain volume. When examining specific components of Medicare expenditures, we found that inpatient spending was strongly associated with white matter hyperintensity volume and that increased ratios of inpatient to outpatient and inpatient to total spending were associated with infarcts.Conclusion: Medicare costs are related to common markers of “silent” cerebrovascular disease and atrophy.

Early life risk factors for cerebrovascular disease: A systematic review and meta-analysis.

Cerebrovascular disease (CVD) causes subclinical brain vascular lesions detected using neuroimaging and childhood factors may increase later CVD risk. We searched MEDLINE, PsycINFO, and EMBASE, and meta-analyzed all available evidence on childhood (premorbid) IQ, socioeconomic status (SES), education, and subclinical CVD in later life. Overall odds ratios (OR), mean difference or correlation, and 95% confidence intervals (CIs) were calculated using random effects methods. We identified 30 relevant studies (n = 22,890). Lower childhood IQ and lower childhood SES were associated with more white matter hyperintensities (WMH) (IQ: n = 1,512, r = -0.07, 95% CI -0.12 to -0.02, p = 0.007; SES: n = 243, deep WMH r = -0.18, periventricular WMH r = -0.146). Fewer years of education were associated with several CVD markers (n = 15,439, OR = 1.17, 95% CI 1.05 to 1.31, p = 0.003). No studies assessed early life factors combined. Childhood IQ, SES, and education are associated with increased risk of CVD on neuroimaging in later life. Further studies are required to provide further evidence and thereby inform policy.