Background: Frontal QRS-T angle is a novel marker of myocardial repolarization, and an increased frontal QRS-T angle associated with adverse cardiac outcomes. Non-dipper hypertension is also associated with adverse cardiac outcomes. This study aimed to investigate the relationship between frontal QRS-T angle and non-dipper status in hypertensive patients without left ventricular hypertrophy (LVH). Methods: This study included 122 hypertensive patients without LVH. Patients were divided into two groups: dipper hypertension and non-dipper hypertension. The frontal QRS-T angle was calculated from 12-lead electrocardiography. Results: Frontal QRS-T angle (47.9° ± 29.7° vs. 26.7° ± 19.6°, P < 0.001) was significantly higher in patients with non-dipper hypertension than in patients with dipper hypertension. In addition, frontal QRS-T angle was positively correlated with sleeping systolic (r = 0.211, P = 0.020), and diastolic (r = 0.199, P = 0.028) blood pressures (BP), even if they were weak. Multivariate analysis showed that the frontal QRS-T angle was independent predictor of non-dipper status (QR: 1.037, 95% CI: 1.019–1.056, P < 0.001). Conclusion: Frontal QRS-T angle is independent predictor of non-dipper status in hypertensive patients without LVH.

Several laboratory parameters have been used to assess inflammatory process and determine cardiovascular risk. The C-reactive protein to albumin ratio (CAR) is a novel marker of inflammation and its clinical importance has not been clearly elucidated in coronary artery disease (CAD). We compared the diagnostic value of CAR with other inflammatory parameters in detecting significant CAD. Patients (n = 421) with stable angina pectoris who underwent coronary angiography for the suspected CAD were included. Neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio, uric acid, monocyte to high-density cholesterol (HDL-C) ratio, mean platelet volume to lymphocyte ratio (MPVLR), and platelet to mean corpuscular volume (MCV) ratio were measured. Patients with significant CAD had a significantly higher NLR (P = .043), MLR (P = .004), uric acid (P < .001), monocyte to HDL-C ratio (P = .004), and CAR (P < .001) compared to patients without significant CAD. However, MPVLR and platelet to MCV ratio weren’t different between 2 groups. The area under the curve (AUC) of CAR was the highest AUC among all inflammatory parameters for predicting significant CAD. Multivariate analysis showed that age (odds ratio [OR]: 1.046, 95% confidence interval [CI], 1.020-1.072, P < .001) and CAR (OR: 1.175, 95% CI, 1.126-1.226, P < .001) were the only independent predictors of significant CAD. In conclusion, CAR had the strongest diagnostic value in detecting significant CAD among the inflammatory parameters evaluated in this study.