Fakülteler / Faculties
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Item Arrhythmogenic Evidence for Epicardial Adipose Tissue: Heart Rate Variability and Turbulence are Influenced by Epicardial Fat Thickness(2015) Balcioglu, Akif Serhat; Cicek, Davran; Akinci, Sinan; Eldem, Halil Olcay; Bal, Ugur Abbas; Okyay, Kaan; Muderrisoglu, Haldun; 0000-0002-9635-6313; 0000-0001-6134-8826; 0000-0001-5250-5404; 0000-0002-9446-2518; 25224491; AAC-8036-2020; AAG-8233-2020; AAK-7355-2020; AAD-5564-2021; AAK-4322-2021BackgroundEpicardial adipose tissue (EAT) is a local source of various hormones, cytokines, and vasoactive substances affecting the myocardium. EAT contains abundant ganglionic plexi that interact with the autonomic nervous system. Evidence of the association between EAT and arrhythmia is limited, with the exception of atrial fibrillation. This study aimed to investigate the relation between EAT and cardiac autonomic function using heart rate variability (HRV) and heart rate turbulence (HRT) parameters. MethodsAll subjects underwent a 24-hour Holter recording to assess HRV and HRT parameters and a transthoracic echocardiography to measure EAT thickness. Patients were divided into two groups according to the median EAT thickness (3.9 mm). The higher EAT group consisted of 111 patients with a >3.9-mm thickness and the lower EAT group 113 patients with a 3.9-mm EAT thickness. ResultsHRV and HRT parameters were significantly influenced in the higher EAT group. Moreover, we observed significant correlations between EAT thickness and Holter findings (standard deviation of all NN intervals [SDNN]: r = -0.462, P < 0.001; SDNN index: r = -0.349, P < 0.001; standard deviation of the average NN intervals: r = -0.465, P < 0.001; root mean square of successive differences: r = -0.251, P < 0.001; pNN50: r = -0.354, P < 0.001; turbulence onset: r = 0.172, P = 0.010; turbulence slope: r = -0.279, P < 0.001, HRT category: r = 0.169, P = 0.011). In multivariate regression analysis, EAT thickness was independently associated with all measures of HRV and HRT, with the exception of turbulence onset. ConclusionsSympathovagal imbalance, detected by HRV and HRT parameters, is related to EAT thickness. As sympathovagal imbalance is a predictor of arrhythmic events, EAT may play an important arrhythmogenic role not limited to atrial fibrillation.Item Chronic Aortic Dissection and Recoarctation As A Late Complication of Aortic Coarctation Surgery(2015) Coner, Ali; Balcioglu, Serhat; Akinci, Sinan; Cicek, Davran; Muderrisoglu, Haldun; 0000-0001-5250-5404; 0000-0002-9635-6313; 0000-0002-5711-8873; 26717344; AAC-8036-2020; AAD-5564-2021; AAG-8233-2020; ABD-7321-2021Item Acquired Aneurysm of Sinus of Valsalva(2017) Coner, Ali; Akinci, Sinan; Cicek, Davran; Saba, Tonguc; Muderrisoglu, Haldun; 0000-0002-9635-6313; 0000-0001-5250-5404; 0000-0002-5711-8873; AAG-8233-2020; AAC-8036-2020; AAD-5564-2021; ABD-7321-2021Item Which Is Responsible for Cardiac Autonomic Dysfunction in Non-Diabetic Patients with Metabolic Syndrome: Prediabetes or the Syndrome Itself(2016) Balcioglu, Akif Serhat; Akinci, Sinan; Cicek, Davran; Eldem, Halil Olcay; Coner, Ali; Bal, Ugur Abbas; Muderrisoglu, Haldun; https://orcid.org/0000-0001-5250-5404; https://orcid.org/0000-0002-5711-8873; https://orcid.org/0000-0002-9446-2518; 26610403; AAD-5564-2021; ABD-7321-2021; AAK-4322-2021Aims: Cardiac autonomic dysfunction (CAD) is associated with both prediabetes and metabolic syndrome (MS). Heart rate variability (HRV) and heart rate turbulence (HRT) are reliable 24-h Holter-ECG findings of cardiac autonomic function. This study aimed to investigate the relation between MS and its components and CAD using HRV and HRT. Materials and methods: The study included 80 non-diabetic patients with MS and 70 control subjects. All study population and the patients with MS were further analyzed for each diagnostic component of MS to investigate which criteria impaired HRV and HRT. Results: HRV and HRT parameters were disturbed in patients in the MS group. While impairment in HRV and HRT was significantly related to the presence of the fasting plasma glucose (FPG) criterion, there were no differences between groups in terms of the other 4 MS criteria. Moreover, FPG level was significantly correlated with SDNN (r = -0.352, p < 0.001), SDNN index (r = -0.423, p < 0.001), SDANN (r = -0.301, p < 0.001), RMSSD (r = -0.237, p < 0.001), pNN50 (r = -0.237, p < 0.001), turbulence onset (TO) (r = 0.365, p < 0.001) and turbulence slope (TS) (r = -0.365, p < 0.001). Among the MS diagnostic criteria, only FPG level was an independent determinant of all HRV and HRT parameters. Conclusions: This study confirms the relation between MS and CAD. Increased FPG alone appears to be responsible for the mentioned findings among the 5 diagnostic criteria. Accordingly, CAD may be the result of prediabetes, not MS in patients with MS. (C) 2015 Diabetes India. Published by Elsevier Ltd. All rights reserved.