Background Epicardial adipose tissue (EAT) is a cardiometabolic risk factor, and its possible relationship with hypertension has been reported previously. Fragmented QRS (fQRS) detected on electrocardiography (ECG) has been demonstrated to be a marker of myocardial fibrosis. In this study, we aimed to investigate the relationship between the thickness of EAT, and presence of fQRS in hypertensive patients. Methods Consecutive patients who were diagnosed with hypertension were included in the study. ECG and transthoracic echocardiography (TTE) were performed to all patients. fQRS was defined as additional R′ wave or notching/splitting of S wave in two contiguous ECG leads. Thickness of EAT was measured by TTE. Results This study enrolled 69 hypertensive patients with fQRS on ECG and 45 hypertensive patients without fQRS as the control group. Age (P = .869), and gender distribution (P = .751) were similar in both groups. Left atrial diameter (P = .012), interventricular septal thickness (P < .001), posterior wall thickness (P < .001), left ventricular ejection fraction (P = .009), left ventricular mass (P = .006), left ventricular mass ındex (P = .014), left ventricular hypertrophy (P = .003), and EAT thickness (P < .001) were found to be significantly increased in patients with fQRS. In multivariate analysis, among these variables only EAT was observed to be an independent predictor of fQRS (odds ratio:3.306 [95% confidence interval, 0.030‐0.118], P = .001). Conclusion A significant association exists between the presence of fQRS and EAT thickness in hypertensive patients. The presence of fQRS, just as EAT thickness, may be used as a cardiometabolic risk factor in hypertensive patients.

Background: Indications and appropriateness of aspirin use have not been well investigated in Turkey. Aims: To investigate the prescription patterns and appropriateness of aspirin in a real-world clinical setting. Study Design: Cross-sectional study. Methods: The Appropriateness of Aspirin Use in Medical Outpatients: A Multicenter, Observational Study (ASSOS) is a cross-sectional and multicenter study that included 5007 consecutive patients aged 18 or over who presented to 30 different cardiology outpatient clinics from 14 cities throughout Turkey. Only patients using aspirin (80-325 mg) were included. The study population was divided into 2 groups regarding the use of aspirin: primary prevention (PP) group and secondary prevention (SP) group. The indication of aspirin use was evaluated following the 2016 European Society of Cardiology (ESC) and the 2016 United States Preventative Services Task Force (USPTF) guidelines in the PP group. Results: A total of 5007 patients (mean age 62.15 ± 11.05, 39% female) were enrolled. The PP group included 1132 (22.6%) patients, and the SP group included 3875 (77.4%) patients. Of the 1132 patients, inappropriate use of aspirin was determined in 100% of the patients according to the ESC guidelines, and 71% of the patients according to the USPTF guidelines. Multivariate logistic regression analysis showed age OR: 0.98 CI (0.97-0.99) P = .037, smoking OR: 0.60 CI (0.44-0.82) P = .001, heart failure OR: 2.11 CI (1.14-3.92) P = .017, hypertension OR: 0.51 CI (0.36-0.74) P < .001, diabetes mellitus OR: 0.34 CI (0.25-0.47) P < .001, oral anticoagulant use OR: 3.01 CI (1.10-8.25) P = .032, and female sex OR: 2.73 CI (1.96-3.80) P < .001 were independent predictors of inappropriate aspirin use in PP patients. Conclusion: Although there are considerable differences between the USPTF and the ESC guidelines with respect to recommendations for aspirin use in PP, inappropriate use of aspirin in Turkey is frequent in real-world practice for both guidelines. Besides, heart failure, oral anticoagulant use, and the female sex of the patients were independent predictors of inappropriate use of aspirin.

Our findings suggest that measurements of fibrinogen level and pulse pressure may be used as easy and reliable methods in predicting aspirin resistance.

Our findings suggest that absolute circadian increases in hs-CRP levels may be helpful in predicting long-term CVEs in patients with stable CAD.

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