Association Between the Angiotensin-Converting Enzyme I/D Polymorphism and Risk of Cerebral Small Vessel Disease: a Meta-Analysis Based on 7186 Subjects

Author(s):  
Cheng Su ◽  
Wen-Chen Liu ◽  
Guo-Ming Li ◽  
Yan Huang
Stroke ◽  
2020 ◽  
Vol 51 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Yuan Ma ◽  
Alex Song ◽  
Anand Viswanathan ◽  
Deborah Blacker ◽  
Meike W. Vernooij ◽  
...  

Background and Purpose— Blood pressure (BP) variability may increase the risk of stroke and dementia. It remains inconclusive whether BP variability is associated with cerebral small vessel disease, a common and potentially devastating subclinical disease that contributes significantly to both stroke and dementia. Methods— A systematic review and meta-analysis of prospective cohort studies that examined the association between BP variability and the presence or progression of established markers of cerebral small vessel disease, including white matter hyperintensities, lacunes, and microbleeds on magnetic resonance imaging. We searched MEDLINE, EMBASE, and Web of Science. Ten studies met the criteria for qualitative synthesis and 7 could be included in the meta-analysis. Data were synthetized using random-effect models. Results— These studies included a total of 2796 individuals aged 74 (mean) ±4 (SD) years, with a median follow-up of 4.0 years. A one SD increase in systolic BP variability was associated with increased odds of the presence or progression of white matter hyperintensities (odds ratio, 1.26 [95% CI, 1.06–1.50]). The association of systolic BP variability with the presence of lacunes (odds ratio, 0.93 [95% CI, 0.74–1.16]) and the presence of microbleeds (odds ratio, 1.13 [95% CI, 0.89–1.44]) were not statistically significant. Conclusions— A larger BP variability may be associated with a higher risk of having a higher burden of white matter hyperintensities. Targeting large BP variability has the potential to prevent cerebral small vessel disease and thereby reducing the risk of stroke and dementia. The potential issue of reverse causation and the heterogeneity in the assessment of cerebral small vessel disease markers should be better addressed in future studies.


2020 ◽  
Author(s):  
Olivia K. L. Hamilton ◽  
Ellen V. Backhouse ◽  
Esther Janssen ◽  
Angela C. C. Jochems ◽  
Caragh Maher ◽  
...  

2020 ◽  
Vol 9 (15) ◽  
Author(s):  
Yuanyuan Fang ◽  
Tingting Qin ◽  
Wenhua Liu ◽  
Lusen Ran ◽  
Yuan Yang ◽  
...  

Background Results of several longitudinal cohort studies suggested an association between cerebral small‐vessel disease and depression. Therefore, we performed a meta‐analysis to explore whether cerebral small‐vessel disease imparts increased risk for incident depression. Methods and Results We searched prospective cohort studies relevant to the relationship between cerebral small‐vessel disease and incident depression published through September 6, 2019, which yielded 16 cohort studies for meta‐analysis based on the relative odds ratio (OR) calculated with fixed‐ and random‐effect models. Baseline white matter hyperintensities (WMHs) (pooled OR, 1.37; 95% CI, 1.14–1.65), enlarged perivascular spaces (pooled OR, 1.33; 95% CI, 1.03–1.71), and cerebral atrophy (pooled OR, 2.83; 95% CI, 1.54–5.23) were significant risk factors for incident depression. Presence of deep WMHs (pooled OR, 1.47; 95% CI, 1.05–2.06) was a stronger predictor of depression than were periventricular WMHs (pooled OR, 1.31; 95% CI, 0.93–1.86). What's more, the pooled OR increased from 1.20 for the second quartile to 1.96 for the fourth quartile, indicating that higher the WMH severity brings greater risk of incident depression (25th–50th: pooled OR, 1.20; 95% CI, 0.68–2.12; 50th–75th; pooled OR, 1.42; 95% CI, 0.81–2.46; 75th–100th: OR, 1.96; 95% CI, 1.06–3.64). These results were stable to subgroup analysis for age, source of participants, follow‐up time, and methods for assessing WMHs and depression. Conclusions Cerebral small‐vessel disease features such as WMHs, enlarged perivascular spaces, and cerebral atrophy, especially the severity of WMHs and deep WMHs, are risk factors for incident depression.


2021 ◽  
Vol 8 (3) ◽  
pp. 225-236 ◽  
Author(s):  
Una Clancy ◽  
Daniel Gilmartin ◽  
Angela C C Jochems ◽  
Lucy Knox ◽  
Fergus N Doubal ◽  
...  

2018 ◽  
Vol 14 (11) ◽  
pp. 1482-1492 ◽  
Author(s):  
Daniel Bos ◽  
Frank J. Wolters ◽  
Sirwan K.L. Darweesh ◽  
Meike W. Vernooij ◽  
Frank de Wolf ◽  
...  

2020 ◽  
Vol 9 (12) ◽  
Author(s):  
Anthipa Chokesuwattanaskul ◽  
Wisit Cheungpasitporn ◽  
Charat Thongprayoon ◽  
Saraschandra Vallabhajosyula ◽  
Tarun Bathini ◽  
...  

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