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    Enjoy or quit: impact of coffee on cardiac and metabolic health
    (Lippincott Williams and Wilkins, 2024) Gunes, Yilmaz; Aktas, Gulali
    Coffee is one of the most consumed beverages worldwide. The effects of coffee on the body are primarily attributed to its key active ingredient, caffeine, a methylxanthine derivative with stimulant effects. However, coffee contains over one hundred bioactive compounds apart from caffeine, such as phenolic compounds, chlorogenic acids, tannin, thiamin, spermidine, quinides, trigonelline, lignins, and minerals like potassium and magnesium, all of which may contribute to its effects on the body. Each of these compounds may have beneficial effects. A common misconception is that coffee consumption should be avoided, especially by those with cardiovascular problems. However, recent data support the safety of moderate habitual consumption of two to three cups of coffee per day. Furthermore, this moderate regular consumption is associated with reduced cardiovascular mortality, lower blood pressure, and improved metabolic state. Many recent studies report additional medical benefits associated with coffee consumption. In this article, we review recent literature on the cardiometabolic effects of regular coffee drinking, including its impact on cardiac arrhythmia, blood pressure, and glucose and lipid metabolism. To sum up the medical evidence in the literature, individuals who drink modest amounts of coffee should feel comfortable continuing to enjoy it, provided they do not experience adverse effects. Copyright © 2024 China Heart House.
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    P-wave duration and dispersion in lone obesity
    (College of Physicians and Surgeons Pakistan, 2021) Cosgun, Mehmet; Sincer, Isa; Inanir, Mehmet; Erdal, Emrah; Mansiroglu, Asli Kurtar; Gunes, Yilmaz
    Objective: To assess P-wave duration and dispersion (PD) in morbidly obese young subjects who do not have co-associated atrial fibrillation (AF) risk factors, such as hypertension, diabetes, atrial enlargement and diastolic dysfunction. Study Design: An observational cross-sectional study. Place and Duration of Study: Bolu Abant Izzet Baysal University Medical Faculty, Turkey; and the study was conducted between October 2017 and June 2018. Methodology: P-wave duration and dispersions were determined on 12-lead surface ECG in 47 morbidly obese and 44 healthy weight subjects, aged between 21-40 years. Above mentioned risk factors were studied. The correlation between BMI, PD and Pmax were investigated by Pearson correlation analysis. Results: Average body mass index (BMI) of obese and control groups were 42.3 (8.5) vs. 19.5 (1.5) (P <0.001). Maximum P-wave duration [(Pmax), 105.3±9.8 vs. 95.6±8.5, p<0.001] and PD [27.6 (7.6) vs. 12.2(8.3), p<0.001] were statistically significantly prolonged in obese patients when compared to the normal weight group. BMI correlation with Pmax and PD (r=0.485; p<0.001 and r=0.620; p<0.001, respectively) were significant. Conclusion: Pmax and PD, which are potential electrocardiographic AF predictors, may increase in lone obese patients having no comorbidities. © 2021 College of Physicians and Surgeons Pakistan. All rights reserved.
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    Serum uric acid to HDL-cholesterol ratio could be promising predictor of atrioventricular nodal reentrant tachycardia
    (2023) Donmez, Ibrahim; Cosgun, Mehmet; Bayraktar, Muhammed Fatih; Korkmaz, Ufuk Turan Kursat; Demirel, Mustafa Enes; Acar, Emrah; Gunes, Yilmaz
    Aim: Paroxysmal supraventricular tachycardia (PSVT), particularly atrioventricular nodal reentrant tachycardia (AVNRT), is a common arrhythmia with no associated structural heart disease. Inflammation has been implicated in the pathogenesis of arrhythmias. Uric acid to high density lipoprotein (HDL)-cholesterol ratio (UHR) is a novel inflammation marker that has been investigated in various conditions. This study aimed to explore the potential association between UHR and AVNRT. Materials and Methods: A total of 136 patients were included in the study, including 86 patients with AVNRT and 50 controls with normal electrophysiological study. All patients’ medical records were reviewed, and data were obtained retrospectively. We recorded baseline features, hematologic and biochemical markers, and determined the UHR value. Results: UHR (p=0.031) and uric acid (p<0.001) levels were significantly higher, while HDL cholesterol (p=0.031) levels were significantly lower in the AVNRT group. Neutrophil leukocyte ratio (NLR) was also higher in the AVNRT group (p=0.034). However, in multivariate analysis, only UHR emerged as an independent predictor for AVNRT (OR: 1.088; 95%CI: 1.022 – 1.159; p=0.008). ROC curve analysis suggested a UHR cut-off > 14.05 for predicting AVNRT with 56% sensitivity and 76% specificity. Conclusion: This study identifies UHR as a promising predictor for AVNRT, shedding light on the potential role of inflammation in the arrhythmia’s development. Utilizing UHR as a readily accessible marker in the evaluation of AVNRT patients may have clinical implications.