Objectives: The adverse effects of smoking in various pathologies are mediated by its effects on the inflammatory system. The monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) has recently emerged as an indicator of inflammation. We aimed to investigate the relationship between MHR and cigarette smoking. Patients and Methods: Three hundred and ninety seven consecutive participants who smoke and 515 healthy subjects with no history of smoking enrolled in the study. Complete blood count parameters and lipid profile were analyzed in all study participants. Smoking habits were calculated as pack.years and number of cigarettes smoked per day. Results: MHR levels were significantly higher in smokers compared to non-smokers (respectively, 15.71 (12.02–20.00) and 11.17 (8.50–14.16), p < 0.0001)). Pearson’s correlation analysis revealed a weak but positive correlation between pack.year and MHR in the smokers group, and there was a moderate positive correlation between the number of cigarettes smoked daily and MHR in the group. In receiver operating characteristics (ROC) analyses, it was determined that a MHR value >13.00 measured in smoker participants at application had a predictive specificity of 66.6% and sensitivity of 70.0% for smoking (area under the curve [AUC] 0.729, 95% CI 0.696, 0.762; p < 0.0001). Conclusions: Elevated MHR is associated with cigarette smoking and may be a useful indicator of a systemic inflammatory response in smokers. Smoker participants who have high MHR levels can easily be identified during routine complete blood count (CBC) analysis and could possibly benefit from preventive treatment.

To determine whether neutrophil/lymphocyte ratio (NLR) differed between patients with isolated coronary artery disease (CAD), isolated coronary artery ectasia (CAE), coronary slow flow and normal coronary anatomy. Patients who underwent coronary angiography were consecutively enrolled into one of four groups: CAD, coronary slow flow, CAE and normal coronary anatomy. The CAD (n = 40), coronary slow flow (n = 40), and CAE (n = 40) groups had similar NLRs (2.51 ± 0.7, 2.40 ± 0.8, 2.6 ± 0.6, respectively) that were significantly higher than patients with normal coronary anatomy (n = 40; NLR, 1.73 ± 0.7). Receiver operating characteristics demonstrated that with NLR > 2.12, specificity in predicting isolated CAD was 85% and sensitivity was 75%, with NLR > 2.22 specificity in predicting isolated CAE was 86% and sensitivity was 75%. With NLR > 1.92, specificity in predicting coronary slow flow was 89% and sensitivity was 75%. Multivariate logistic regression analyses identified NLR as an independent predictor of isolated CAE (β = −0.499, 95% CI −0.502, −0.178; P < 0.001), CAD (β = −0.426, 95% CI −1.321, −0.408; P < 0.001), and coronary slow flow (β = −0.430, 95% CI −0.811, −0.240; P = 0.001 Table 2). NLR was higher in patients with CAD, coronary slow flow and CAE versus normal coronary anatomy. NLR may be an indicator of CAD, CAE and coronary slow flow.

Experimental and clinical studies evaluating the Tp-Te interval and Tp-Te/QT ratio have reported conflicting data. The overlap between normal Tp-Te/QT ratios (0.17 ±0.02-0.27 ±0.06 ms) and pathological values (0.20 ±0.03-0.30 ±0.06 ms) measured in earlier studies has raised questions about this ECG measurement technique. To analyze normal values of the Tp-Te interval, Tp-Te dispersion Tp-Te(d) and the Tp-Te/QT ratio based on electrocardiographic (ECG) assessment across sex and age groups in a healthy Turkish population. A total of 1,485 healthy participants (723 men) were enrolled into the study. The age of the participants ranged 17-75 years and they did not have either any cardiovascular/systemic disorders or risk factors for atherosclerosis which were detected with physical examination and laboratory tests. The Tp-Te interval, Tp-Te(d) and Tp-Te/QT ratio were determined from V1-V6 derivations. For the entire study, the median Tp-Te interval was 66.0 (64.0-70.0) ms, the Tp-Te(d) was 15.0 (10.0-20.0) ms, and the Tp-Te/QT ratio was 0.18 (0.17-0.19). The Pearson's correlation test demonstrated that the Tp-Te/QT ratio significantly correlated with older age (r = 0.297; p < 0.0001), left ventricular (LV) end-diastolic diameter (LVEDD; r = 0.481; p < 0.0001), body mass index (BMI; r = 0.421; p < 0.0001), body surface area (BSA; r = 0.191; p < 0.0001), LV end-diastolic volume (LVEDV; r = 0.484; p < 0.0001), LVEDV index (r = 0.450; p < 0.0001), LV mass (r = 0.548; p < 0.0001), and LV mass index (r = 0.539; p < 0.0001). The reference values for Tp-Te interval, Tp-Te(d) and Tp-Te/QT ratio are associated with age, BMI, BSA, LVEDV, LVEDV index, LV mass, and LV mass index. These structural elements should be considered when using these ECG parameters for assessing repolarization inhomogeneity. These findings may guide further studies assessing healthy and diseased populations.

Major depressive disorder is an independent predictor of the electrocardiographic frontal QRS-T angle

Objectives: Intense exercise elevates all heart chambers’ dimensions, left ventricular mass (LV mass), and left ventricular mass index (LV mass index). The relationship between increased ventricular arrhythmias and sudden cardiac death with LV dilatation and elevated LV mass has been previously demonstrated. We investigated whether sports-related LV dilatation and elevated LV mass and LV mass index cause an increase in ventricular repolarization heterogeneity. Patients and Methods: This prospective observational study recruited 565 participants. There were 226 (female: 28) athletes and 339 (female: 45) healthy controls between 17 and 42 years of age. They were evaluated using 12-lead-electrocardiography and transthoracic echocardiography. Electrocardiograms were obtained at a rate of 50 mm/s and an amplitude of 10 mV, including at least 3 QRS complexes for each derivation. They were taken with 12 standard deviations. Transmural dispersion of repolarization indexes (TDR) (Tp-Te interval, Tp-Te/QT ratio and Tp-Te/QTc ratio, Tp-Te(d)) were measured from precordial derivations. Measurements weretakenwith a program which was generated with MATLAB codes. Results: Tp-Te interval, Tp-Te/QT ratio, Tp-Te/QTc ratio, Tp-Te(d), PW (posterior wall thickness), IVS (interventricular septal thickness), LVEDD (left ventricular end-diastolic diameter), LV mass (left ventricular mass), and LV mass index (left ventricular mass index) for the athlete group were significantly higher than for the control group. Correlation analyses revealed that TDR indexes significantly correlated with PW, IVS, LVEDD, LV mass, and LV mass index. Conclusion: LV mass and LV mass index increase in well-trained athletes, and this increase leads to an increase in TDR indexes. The increased frequency of ventricular arrhythmia and sudden cardiac death may be explained with increasing ventricular repolarization heterogeneity in these individuals.