scholarly journals Addition of Aβ42 to Total Cerebral Small Vessel Disease Score Improves the Prediction for Cognitive Impairment in Cerebral Small Vessel Disease Patients

2021 ◽  
Vol Volume 17 ◽  
pp. 195-201
Author(s):  
Jianping Liu ◽  
Weihua Zhao ◽  
Qinghong Gui ◽  
Ying Zhang ◽  
Zaiyu Guo ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Disease Score ◽  
Vessel Disease

Abstract P626: Periodontal Disease is Independently Associated With Cerebral Small Vessel Disease

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Forrest Lowe ◽  
Souvik Sen ◽  
Hamdi S Adam ◽  
Ryan Demmer ◽  
Bruce A Wasserman ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Periodontal Disease ◽  
Small Vessel Disease ◽  
Multinomial Logistic Regression ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
White Matter Hyperintensity ◽  
Periodontal Health ◽  
Vessel Disease ◽  
The Relationship

Background: Prior studies have shown the association between periodontal disease, lacunar strokes and cognitive impairment. Using the Atherosclerosis Risk in Communities (ARIC) cohort study we investigated the relationship between periodontal disease (PD) and the development of MRI verified small vessel disease. Methods: Using the ARIC database data we extracted data for 1143 (mean age 77 years, 76% white, 24% African-American and 45% male) participants assessed for PD (N=800) versus periodontal health (N=343). These participants were assessed for small vessel disease on 3T MRI as measured by the log of white matter hyperintensity volume (WMHV). WMHV were derived from a semiautomated segmentation of FLAIR images. Student t-test was then used to evaluate the relationship between small vessel disease as the log of WMHV in subjects with PD or periodontal health. Based on WMHV the patients were grouped into quartiles and the association of PD with WMHV were tested using the group in periodontal health and lowest quartile of WMHV as the reference groups. Multinomial logistic regression was used to compute crude and adjusted odds ratio (OR) for the higher quartiles of WMHV compared to the reference quartile. Results: There was a significant increase in the presence of small vessel disease measured as log WMHV in the PD cohort as compared to periodontal health cohort with p= 0.023 on Independent Sample t-est. Based on WMHV the subjects were grouped into quartiles 0-6.41, >6.41-11.56, >11.56-21.36 and >21.36 cu mm3). PD was associated with only the highest quartile of WMHV on univariate (crude OR 1.77, 95% CI 1.23-2.56) and multivariable (adjusted OR 1.61, 95% CI 1.06-2.44) analyses. The later was adjusted for age, race, gender, hypertension, diabetes and smoking. Conclusion: Based on this prospective cohort there is data to suggest that PD may be associated with cerebral small vessel disease. Maintaining proper dental health may decrease future risk for the associated lacunar strokes and vascular cognitive impairment.

Different cognitive profiles between mild cognitive impairment due to cerebral small vessel disease and mild cognitive impairment of Alzheimer’s disease origin

2009 ◽  
Vol 15 (6) ◽  
pp. 898-905 ◽  
Author(s):  
AIHONG ZHOU ◽  
JIANPING JIA
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Processing Speed ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Cognitive Domains ◽  
Vessel Disease

AbstractControversy surrounds the differences of the cognitive profile between mild cognitive impairment resulting from cerebral small vessel disease (MCI-SVD) and mild cognitive impairment associated with prodromal Alzheimer’s disease (MCI-AD). The aim of this study was to explore and compare the cognitive features of MCI-SVD and MCI-AD. MCI-SVD patients (n = 56), MCI-AD patients (n = 30), and normal control subjects (n = 80) were comprehensively evaluated with neuropsychological tests covering five cognitive domains. The performance was compared between groups. Tests that discriminated between MCI-SVD and MCI-AD were identified. Multiple cognitive domains were impaired in MCI-SVD group, while memory and executive function were mainly impaired in MCI-AD group. Compared with MCI-SVD, MCI-AD patients performed relatively worse on memory tasks, but better on processing speed measures. The AVLT Long Delay Free Recall, Digit Symbol Test, and Stroop Test Part A (performance time) in combination categorized 91.1% of MCI-SVD patients and 86.7% of MCI-AD patients correctly. Current study suggested a nonspecific neuropsychological profile for MCI-SVD and a more specific cognitive pattern in MCI-AD. MCI-AD patients demonstrated greater memory impairment with relatively preserved mental processing speed compared with MCI-SVD patients. Tests tapping these two domains might be potentially useful for differentiating MCI-SVD and MCI-AD patients. (JINS, 2009, 15, 898–905.)

Abstract TMP111: Prediction of Cognitive Impairment after Intracerebral Hemorrhage using MRI Small Vessel Disease Score

Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Marco Pasi ◽  
Lansing Sugita ◽  
Li Xiong ◽  
Andreas Charidimou ◽  
Gregoire Boulouis ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Intracerebral Hemorrhage ◽  
Small Vessel Disease ◽  
Small Vessel ◽  
Disease Score ◽  
Vessel Disease

Brain amyloid β, cerebral small vessel disease, and cognition

Neurology ◽  
2020 ◽  
Vol 95 (21) ◽  
pp. e2845-e2853 ◽  
Author(s):  
Francis N. Saridin ◽  
Saima Hilal ◽  
Steven G. Villaraza ◽  
Anthonin Reilhac ◽  
Bibek Gyanwali ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Small Vessel Disease ◽  
Neuropsychological Testing ◽  
Amyloid Β ◽  
Standardized Uptake Value ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Memory Clinic ◽  
Alzheimer Dementia ◽  
Vessel Disease

ObjectiveTo evaluate the association between brain amyloid β (Aβ) and cerebral small vessel disease (CSVD) markers, as well as their joint effect on cognition, in a memory clinic study.MethodsA total of 186 individuals visiting a memory clinic, diagnosed with no cognitive impairment, cognitive impairment no dementia (CIND), Alzheimer dementia (AD), or vascular dementia were included. Brain Aβ was measured by [11C] Pittsburgh compound B–PET global standardized uptake value ratio (SUVR). CSVD markers including white matter hyperintensities (WMH), lacunes, and cerebral microbleeds (CMBs) were graded on MRI. Cognition was assessed by neuropsychological testing.ResultsAn increase in global SUVR is associated with a decrease in Mini-Mental State Examination (MMSE) in CIND and AD, as well as a decrease in global cognition Z score in AD, independent of age, education, hippocampal volume, and markers of CSVD. A significant interaction between global SUVR and WMH was found in relation to MMSE in CIND (P for interaction: 0.009), with an increase of the effect size of Aβ (β = −6.57 [−9.62 to −3.54], p < 0.001) compared to the model without the interaction term (β = −2.91 [−4.54 to −1.29], p = 0.001).ConclusionHigher global SUVR was associated with worse cognition in CIND and AD, but was augmented by an interaction between global SUVR and WMH only in CIND. This suggests that Aβ and CSVD are independent processes with a possible synergistic effect between Aβ and WMH in individuals with CIND. There was no interaction effect between Aβ and lacunes or CMBs. Therefore, in preclinical phases of AD, WMH should be targeted as a potentially modifiable factor to prevent worsening of cognitive dysfunction.

scholarly journals Microstructural Predictors of Cognitive Impairment in Cerebral Small Vessel Disease and the Conditions of Their Formation

Diagnostics ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 720
Author(s):  
Larisa A. Dobrynina ◽  
Zukhra Sh. Gadzhieva ◽  
Kamila V. Shamtieva ◽  
Elena I. Kremneva ◽  
Bulat M. Akhmetzyanov ◽  
...  
Keyword(s):  
Blood Flow ◽  
Cognitive Impairment ◽  
White Matter ◽  
Diffusion Tensor ◽  
Small Vessel Disease ◽  
Cerebral Small Vessel Disease ◽  
Small Vessel ◽  
Venous Blood Flow ◽  
Csf Flow ◽  
Vessel Disease

Introduction: Cerebral small vessel disease (CSVD) is the leading cause of vascular and mixed degenerative cognitive impairment (CI). The variability in the rate of progression of CSVD justifies the search for sensitive predictors of CI. Materials: A total of 74 patients (48 women, average age 60.6 ± 6.9 years) with CSVD and CI of varying severity were examined using 3T MRI. The results of diffusion tensor imaging with a region of interest (ROI) analysis were used to construct a predictive model of CI using binary logistic regression, while phase-contrast magnetic resonance imaging and voxel-based morphometry were used to clarify the conditions for the formation of CI predictors. Results: According to the constructed model, the predictors of CI are axial diffusivity (AD) of the posterior frontal periventricular normal-appearing white matter (pvNAWM), right middle cingulum bundle (CB), and mid-posterior corpus callosum (CC). These predictors showed a significant correlation with the volume of white matter hyperintensity; arterial and venous blood flow, pulsatility index, and aqueduct cerebrospinal fluid (CSF) flow; and surface area of the aqueduct, volume of the lateral ventricles and CSF, and gray matter volume. Conclusion: Disturbances in the AD of pvNAWM, CB, and CC, associated with axonal damage, are a predominant factor in the development of CI in CSVD. The relationship between AD predictors and both blood flow and CSF flow indicates a disturbance in their relationship, while their location near the floor of the lateral ventricle and their link with indicators of internal atrophy, CSF volume, and aqueduct CSF flow suggest the importance of transependymal CSF transudation when these regions are damaged.

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