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        Left Ventricular Hypertrophy and Cerebral Small Vessel Disease: A Systematic Review and Meta-Analysis

        Andreas Papadopoulos,Konstantinos Palaiopanos,Athanasios P. Protogerou,George P. Paraskevas,Georgios Tsivgoulis,Marios K. Georgakis 대한뇌졸중학회 2020 Journal of stroke Vol.22 No.2

        Background and Purpose Left ventricular hypertrophy (LVH) is associated with the risk of stroke and dementia independently of other vascular risk factors, but its association with cerebral small vessel disease (CSVD) remains unknown. Here, we employed a systematic review and meta-analysis to address this gap. Methods Following the MOOSE guidelines (PROSPERO protocol: CRD42018110305), we systematically searched the literature for studies exploring the association between LVH or left ventricular (LV) mass, with neuroimaging markers of CSVD (lacunes, white matter hyperintensities [WMHs], cerebral microbleeds [CMBs]). We evaluated risk of bias and pooled association estimates with random-effects meta-analyses. Results We identified 31 studies (n=25,562) meeting our eligibility criteria. In meta-analysis, LVH was associated with lacunes and extensive WMHs in studies of the general population (odds ratio [OR]lacunes, 1.49; 95% confidence interval [CI], 1.12 to 2.00) (ORWMH, 1.73; 95% CI, 1.38 to 2.17) and studies in highrisk populations (ORlacunes: 2.39; 95% CI, 1.32 to 4.32) (ORWMH, 2.01; 95% CI, 1.45 to 2.80). The results remained stable in general population studies adjusting for hypertension and other vascular risk factors, as well as in sub-analyses by LVH assessment method (echocardiography/electrocardiogram), study design (cross-sectional/cohort), and study quality. Across LV morphology patterns, we found gradually increasing ORs for concentric remodelling, eccentric hypertrophy, and concentric hypertrophy, as compared to normal LV geometry. LVH was further associated with CMBs in high-risk population studies. Conclusions LVH is associated with neuroimaging markers of CSVD independently of hypertension and other vascular risk factors. Our findings suggest LVH as a novel risk factor for CSVD and highlight the link between subclinical heart and brain damage.

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        There is No Association between Cardiovascular Autonomic Dysfunction and Peripheral Neuropathy in Chronic Hemodialysis Patients

        Elefterios Stamboulis,Konstantinos Voumvourakis,Thomas Zambelis,Athina Andrikopoulou,Demetrios Vlahakos,Athanasios Tsivgoulis, 대한신경과학회 2010 Journal of Clinical Neurology Vol.6 No.3

        Background and Purpose: The potential association between the severity of autonomic dysfunction and peripheral neuropathy has not been extensively investigated, with the few studies yielding inconsistent results. We evaluated the relationship between autonomic dysfunction and peripheral neuropathy in chronic hemodialysis patients in a cross-sectional study. Methods: Cardiovascular autonomic function was assessed in 42 consecutive patients with chronic renal failure treated by hemodialysis, using a standardized battery of 5 cardiovascular reflex tests. Symptoms of autonomic dysfunction and of peripheral neuropathy were evaluated using the Autonomic Neuropathy Symptom Score (ANSS) and the Neuropathy Symptoms Score. Neurological deficits were assessed using the Neuropathy Disability Score. Conduction velocities along the sensory and motor fibers of the sural and peroneal nerves were measured. Thermal thresholds were documented using a standardized psychophysical technique. Results: Parasympathetic and sympathetic dysfunction was prevalent in 50% and 28% of cases,respectively. Peripheral neuropathy was identified in 25 cases (60%). The prevalence of peripheral neuropathy did not differ between patients with impaired (55%) and normal (75%) autonomic function (p=0.297; Fisher’s exact test). The electrophysiological parameters for peripheral nerve function, neuropathic symptoms, abnormal thermal thresholds, age, gender, and duration of dialysis did not differ significantly between patients with and without autonomic dysfunction. Patients with autonomic dysfunction were more likely to have an abnormal ANSS (p=0.048). The severity of autonomic dysfunction on electrophysiological testing was positively correlated with ANSS (r=0.213, p=0.036). Conclusions: The present data indicate that although cardiovascular autonomic dysfunction is prevalent among patients with chronic renal failure, it is not associated with the incidence of peripheral neuropathy.

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