The Relationship Between Renal Function and Imaging Markers and Total Burden of Cerebral Small Vessel Disease

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Büşra Ölmez ◽  
Canan Togay Işikay ◽  
Elif Peker ◽  
Mine H. Sorgun
2019 ◽  
Author(s):  
Jihui Wang ◽  
Xiaodong Chen ◽  
Jinchi Liao ◽  
Li Zhou ◽  
Hongying Han ◽  
...  

Abstract Objective Evidence of a relationship between non breathing-related sleep fragmentation and imaging markers of the brain in cerebral small vessel disease (CSVD) patients is scarce. The purpose of the present study was to investigate the relationship in CSVD patients living in China, where CSVD is a major pathogenesis underlying stroke. Methods A group of 84 CSVD patients were prospectively recruited along with 24 age and sex matched normal controls. 3.0 T superconducting magnetic resonance imaging and overnight polysomnography were conducted in all the participants. Polysomnography parameters including sleep onset latency, total sleep time; sleep efficiency, wake after sleep onset, percentage of each sleep stage (N1, N2, N3 and REM) and arousal index were compared between the CSVD patients and normal controls, and the relationship between arousal index and CSVD markers was explored in the CSVD group. Results Polysomnography measures showed that CSVD patients had significantly higher arousal index and wake after sleep onset, lower sleep efficiency and N-3 ratio compared to normal controls ( p < 0.05). The results of ordinal logistic regression showed that higher arousal index was positively associated with the severity of periventricular white matter hyperintensity (OR 1.177, 95% CI 0.170 to 2.295) and perivascular space (OR 1.245, 95% CI 0.485 to 2.124) in CSVD patients, after adjusting for all the independent variables. Conclusions These preliminary results indicate that non breathing-related sleep fragmentation is common and related to the pathological markers of CSVD patients. Future prospective research is invited to establish the causal relationship between sleep parameters and CSVD pathology.


2019 ◽  
Author(s):  
jihui wang ◽  
Xiaodong Chen ◽  
Jinchi Liao ◽  
Li Zhou ◽  
Hongying Han ◽  
...  

Abstract Objective: Evidence of a relationship between non breathing-related sleep fragmentation and imaging markers of the brain in cerebral small vessel disease (CSVD) patients is scarce. The purpose of the present study was to investigate the relationship in CSVD patients living in China, where CSVD is a major pathogenesis underlying stroke. Methods: A group of 84 CSVD patients were prospectively recruited along with 24 age and sex matched normal controls. 3.0 T superconducting magnetic resonance imaging and overnight polysomnography were conducted in all the participants. Polysomnography parameters including sleep onset latency, total sleep time; sleep efficiency, wake after sleep onset, percentage of each sleep stage (N1, N2, N3 and REM) and arousal index were compared between the CSVD patients and normal controls, and the relationship between arousal index and CSVD markers was explored in the CSVD group. Results: Polysomnography measures showed that CSVD patients had significantly higher arousal index and wake after sleep onset, lower sleep efficiency and N-3 ratio compared to normal controls (p< 0.05). The results of ordinal logistic regression showed that higher arousal index was positively associated with the severity of periventricular white matter hyperintensity (OR 1.177, 95% CI 0.170 to 2.295) and perivascular space (OR 1.245, 95% CI 0.485 to 2.124) in CSVD patients, after adjusting for all the independent variables. Conclusions: These preliminary results indicate that non breathing-related sleep fragmentation is common and related to the pathological markers of CSVD patients. Future prospective research is invited to establish the causal relationship between sleep parameters and CSVD pathology.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Forrest Lowe ◽  
Souvik Sen ◽  
Hamdi S Adam ◽  
Ryan Demmer ◽  
Bruce A Wasserman ◽  
...  

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.


2019 ◽  
Vol 10 (3) ◽  
pp. 570 ◽  
Author(s):  
Mangmang Xu ◽  
Yajun Cheng ◽  
Quhong Song ◽  
Ruozhen Yuan ◽  
Shuting Zhang ◽  
...  

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