The spatial distribution of age-related white matter changes as a function of vascular risk factors—Results from the LADIS study

NeuroImage ◽  
2012 ◽  
Vol 60 (3) ◽  
pp. 1597-1607 ◽  
Author(s):  
E. Rostrup ◽  
A.A. Gouw ◽  
H. Vrenken ◽  
E.C.W. van Straaten ◽  
S. Ropele ◽  
...  
Keyword(s):  
Risk Factors ◽  
Spatial Distribution ◽  
White Matter ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
White Matter Changes ◽  
Age Related

scholarly journals Lacunar Stroke Lesion Extent and Location and White Matter Hyperintensities Evolution 1 Year Post-lacunar Stroke

2021 ◽  
Vol 12 ◽  
Author(s):  
Maria del C. Valdés Hernández ◽  
Tara Grimsley-Moore ◽  
Eleni Sakka ◽  
Michael J. Thrippleton ◽  
Francesca M. Chappell ◽  
...  
Keyword(s):  
Risk Factors ◽  
Spatial Distribution ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Smoking Habit ◽  
Vascular Risk Factors ◽  
Imaging Features ◽  
Vascular Risk ◽  
Lacunar Stroke ◽  
Lentiform Nucleus

Lacunar strokes are a common type of ischemic stroke. They are associated with long-term disability, but the factors affecting the dynamic of the infarcted lesion and the brain imaging features associated with them, reflective of small vessel disease (SVD) severity, are still largely unknown. We investigated whether the distribution, volume and 1-year evolution of white matter hyperintensities (WMH), one of these SVD features, relate to the extent and location of these infarcts, accounting for vascular risk factors. We used imaging and clinical data from all patients [n = 118, mean age 64.9 (SD 11.75) years old] who presented to a regional hospital with a lacunar stroke syndrome within the years 2010 and 2013 and consented to participate in a study of stroke mechanisms. All patients had a brain MRI scan at presentation, and 88 had another scan 12 months after. Acute lesions (i.e., recent small subcortical infarcts, RSSI) were identified in 79 patients and lacunes in 77. Number of lacunes was associated with baseline WMH volume (B = 0.370, SE = 0.0939, P = 0.000174). RSSI volume was not associated with baseline WMH volume (B = 3.250, SE = 2.117, P = 0.129), but predicted WMH volume change (B = 2.944, SE = 0.913, P = 0.00184). RSSI location was associated with the spatial distribution of WMH and the pattern of 1-year WMH evolution. Patients with the RSSI in the centrum semiovale (n = 33) had significantly higher baseline volumes of WMH, recent and old infarcts, than patients with the RSSI located elsewhere [median 33.69, IQR (14.37 50.87) ml, 0.001 ≤ P ≤ 0.044]. But patients with the RSSI in the internal/external capsule/lentiform nucleus experienced higher increase of WMH volume after a year [n = 21, median (IQR) from 18 (11.70 31.54) ml to 27.41 (15.84 40.45) ml]. Voxel-wise analyses of WMH distribution in patients grouped per RSSI location revealed group differences increased in the presence of vascular risk factors, especially hypertension and recent or current smoking habit. In our sample of patients presenting to the clinic with lacunar strokes, lacunar strokes extent influenced WMH volume fate; and RSSI location and WMH spatial distribution and dynamics were intertwined, with differential patterns emerging in the presence of vascular risk factors. These results, if confirmed in wider samples, open potential avenues in stroke rehabilitation to be explored further.

scholarly journals The impact of vascular risk factors on the thickness and volume of the choroid in AMD patients

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Elżbieta Krytkowska ◽  
Aleksandra Grabowicz ◽  
Katarzyna Mozolewska-Piotrowska ◽  
Zofia Ulańczyk ◽  
Krzysztof Safranow ◽  
...  
Keyword(s):  
Risk Factors ◽  
Vascular Risk Factors ◽  
Age Related Macular Degeneration ◽  
Control Group ◽  
Vascular Risk ◽  
Average Volume ◽  
Central Ring ◽  
Age Related ◽  
The Impact ◽  
Wet Amd

AbstractDisturbances in choroidal microcirculation may lead to the onset and progression of age-related macular degeneration (AMD). We aimed to assess changes in the choroidal volume and thickness in the macular region in AMD eyes and to investigate whether coexisting vascular risk factors alter choroidal status. We enrolled 354 AMD patients (175 dry, 179 wet AMD) and 121 healthy controls. All participants underwent a complete ophthalmologic examination and assessment of choroidal thickness and volume. A multivariate analysis adjusted for age, sex, and smoking status revealed that wet AMD was an independent factor associated with higher average thickness of the central ring area (ATC) and average volume of the central ring area (AVC) and lower choroidal vascularity index (CVI) compared to controls (β =  + 0.18, p = 0.0007, β =  + 0.18, p = 0.0008, respectively) and to dry AMD (β =  + 0.17, p = 0.00003 for both ATC and AVC and β =  − 0.30 p < 0.0001 for CVI). ATC, AVC and average volume (AV) were lower in AMD patients with hypertension and ischaemic heart disease (IHD). The duration of hypertension was inversely correlated with ATC, AVC and AV (Rs =  − 0.13, p < 0.05; Rs =  − 0.12; p < 0.05, Rs =  − 0.12; p < 0.05, respectively) while IHD duration negatively correlated with AV (Rs =  − 0.15, p < 0.05). No such associations were observed in the control group. Our findings show that the choroidal vascular system in eyes with AMD is much more susceptible to damage in the presence than in the absence of systemic vascular disease.

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.

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

scholarly journals White matter hyperintensities and vascular risk factors in monozygotic twins

2018 ◽  
Vol 66 ◽  
pp. 40-48 ◽  
Author(s):  
Mara ten Kate ◽  
Carole H. Sudre ◽  
Anouk den Braber ◽  
Elles Konijnenberg ◽  
Michel G. Nivard ◽  
...  
Keyword(s):  
Risk Factors ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Monozygotic Twins ◽  
Vascular Risk Factors ◽  
Vascular Risk

Treatment response in late-onset depression: relationship to neuropsychological, neuroradiological and vascular risk factors

2004 ◽  
Vol 34 (1) ◽  
pp. 125-136 ◽  
Author(s):  
R. BALDWIN ◽  
S. JEFFRIES ◽  
A. JACKSON ◽  
C. SUTCLIFFE ◽  
N. THACKER ◽  
...  
Keyword(s):  
Risk Factors ◽  
Executive Function ◽  
White Matter ◽  
Depressive Disorder ◽  
Late Onset ◽  
White Matter Lesions ◽  
Vascular Risk Factors ◽  
Group Differences ◽  
Vascular Risk ◽  
Control Subjects

Background. Late-onset depressive disorder is associated with white matter lesions and neuropsychological deficits that in some studies are linked to a poorer outcome for depression. Some white matter lesions may be vascular in origin. This study investigated the relationship between response or non-response to antidepressant monotherapy and neuropsychological function, structural brain measures and vascular factors.Method. This was a case–control study. Fifty patients with late-onset major depressive disorder (29 who were responders to antidepressant monotherapy and 21 who were not) were compared with 35 non-depressed control subjects. Measures included assessment of vascular risk factors, neuropsychological testing and a magnetic resonance imaging (MRI) scan.Results. After adjustment for depressed mood and medication at evaluation, both patient groups had significantly more impairment compared to control subjects on verbal learning tasks involving immediate or delayed recall. Patients who did not respond to antidepressant monotherapy had significantly poorer performance than controls on tests involving visuospatial ability, language, word recognition and tests of executive function, whereas there were no differences between control subjects and responders. On two tests of executive function (verbal fluency and the Stroop test) non-responders scored significantly worse than responders. There were no significant group differences on MRI measures of atrophy or of white matter lesions apart from a higher periventricular hyperintensity score in non-responders compared to controls. There were no group differences on measures of vascular disease.Conclusion. The results lend support to the emerging evidence that resistance to treatment in late-onset depression may be associated with impaired executive function. Subtle cerebrovascular mechanisms may be involved.

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