Objective: Epicardial adipose tissue (EAT) has been found to be associated with the diastolic dysfunction in recent years, but this relationship has not been fully elucidated. Echocardiography is a non-invasive, simple, cost effective and accessible approach to assess EAT thickness, which can be performed easily. The aim of this study was to evaluate the effectiveness of EAT on prediction of diastolic dysfunction . Materials and Methods: A total of 138 patients without any cardiovascular, inflammatory, autoimmune and cancer disease, were enrolled. Our study was performed in the Cardiology clinic of Sakarya University Training and Research Hospital between May 2019 and December 2019. Subjects were divided into two groups, those with and without diastolic dysfunctions . Conventional echocardiography parameters and tissue Doppler imaging (TDI) were performed to evaluate left ventricular functions. EAT thickness on the free wall of the right ventricle in parasternal long-axis view were measured using transthoracic echocardiography. Results: In comparison with the non- diastolic dysfunction group, patients with diastolic dysfunction had significantly higher epicardial fat thickness (5.98±1.52 mm vs 4.32±1.03 mm; p<0.001). The multivariate regression analysis indicated that EAT independently predicts diastolic dysfunction (OR, 0.278, 95%CI 0.396 to 1.400) Conclusions: According to the findings of this study, EAT thickness is an independent predictor for the development of diastolic dysfunction in patients without cardiovascular disease.
Background/Aim: In recent years, prolonged corrected QT (QTc) interval is thought to be an independent risk factor in patients with Acute Coronary Syndrome (ACS). Our aim in this study is to determine whether there is a relationship between the Neutrophil/Lymphocyte Ratio (NLR), which is a new inflammatory parameter, and prolonged QTc corrected (QTc) interval in patients with ACS. Methods: In a retrospective cohort study, 649 patients with ACS were enrolled from January 2017 to July 2019, out of which ninety-two patients died during follow-up. Patients were divided into two groups according to the prolonged QTc interval (QTc ≥450 msec). The relationship between QTc interval prolongation and NLR was evaluated. The primary endpoint was early all-cause death. Results: Thirty-one of 135 patients (22.9% P=0.002) with QTc interval prolongation and 61 of 514 patients without QTc prolongation (11.8% P=0.002) died. Prolonged QTc interval was positively correlated with NLR (r=0.20, P=0.001). Both NLR (OR: 1,016; 95% CI: 1.004–1.028; P=0.01) and QTc interval (OR: 1.016; 95% CI: 1.004–1.028; P=0.006) independently predicted early mortality. In the ROC curve analysis, the AUC value of QTc interval to predict in-hospital mortality was 0.680 (95% CI: 0.597-0.763; P=0.001), with a sensitivity of 35%, a specificity of 82% and an optimum cut-off value of ≥450 msec. The AUC value of NLR to predict in-hospital mortality was 0.711 (95% CI: 0.653-0.769; P<0.001), with a sensitivity of 64%, a specificity of 68% and an optimum cut-off value of ≥3.9. Conclusion: In this study, we showed that prolonged QTc interval was positively associated with NLR, which is an indicator of systemic inflammation in patients with ACS, for the first time. Also, QTc interval prolongation and increased NLR were independent predictors of early mortality.
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