Epicardial adipose tissue predicted prolonged QTc interval in patients with arterial hypertension

Fibroblast growth factor 21 is associated with widening QRS complex and prolonged corrected QT interval in patients with stable angina

BACKGROUND

Fibroblast growth factor 21 (FGF21) is produced by cardiac cells, may acts in an autocrine manner, and was suggested to has a cardioprotective role in atherosclerosis. Wide QRS complex and heart rate-corrected QT interval (QTc interval) prolongation are associated to dangerous ventricular arrhythmias and cardiovascular disease mortality. Yet, the role of FGF21 in cardiac arrhythmia has never been studied. The aim of the study was to investigate the relationship between plasma FGF21 and the QRS duration and QTc interval in patients with stable angina.

METHODS

Three hundred twenty-one consecutive stable angina patients were investigated. Plasma FGF21 was measured through ELISA, and each subject underwent 12-lead electrocardiography.

RESULTS

FGF21 plasma levels were positively associated with the QRS duration (β = 0.190, P = 0.001) and QTc interval (β = 0.277, P < 0.0001). With increasing FGF21 tertiles, the patients had higher frequencies of wide QRS complex and prolonged QTc interval. After adjusting for patients' anthropometric parameters, the corresponding odd ratios (ORs) for wide QRS complex of the medium and high of FGF21 versus the low of FGF21 were 1.39 (95% CI 0.51-3.90) and 4.41 (95% CI 1.84-11.59), respectively, and p for trend was 0.001. Furthermore, multiple logistic regression analysis also showed the corresponding odd ratios (ORs) for prolonged QTc interval of the medium and high of FGF21 versus the low of FGF21 were 1.02 (95% CI 0.53-1.78) and 1.93 (95% CI 1.04-3.60) respectively with the p for trend of 0.037. In addition, age- and sex-adjusted FGF21 levels were positively associated with fasting glucose, HbA1c, creatinine, and adiponectin, but negatively associated with albumin, and the estimated glomerular filtration rate.

CONCLUSIONS

This study indicates that plasma FGF21 is associated with wide QRS complex and prolonged corrected QT interval in stable angina patients, further study is required to investigate the role of plasma FGF21 for the underlying pathogenesis.

Epicardial adipose tissue as a mediator of cardiac arrhythmias

Obesity is associated with higher risks of cardiac arrhythmias. Although this may be partly explained by concurrent cardiometabolic ill-health, growing evidence suggests that increasing adiposity independently confers risk for arrhythmias. Among fat depots, epicardial adipose tissue (EAT) exhibits a proinflammatory secretome and, given the lack of fascial separation, has been implicated as a transducer of inflammation to the underlying myocardium. The present review explores the mechanisms underpinning adverse electrophysiological remodeling as a consequence of EAT accumulation and the consequent inflammation. We first describe the physiological and pathophysiological function of EAT and its unique secretome and subsequently discuss the evidence for ionic channel and connexin expression modulation as well as fibrotic remodeling induced by cytokines and free fatty acids that are secreted by EAT. Finally, we highlight how weight reduction and regression of EAT volume may cause reverse remodeling to ameliorate arrhythmic risk.

Prognostic nutritional index is related to myocardial performance index in newly diagnosed nondiabetic hypertensive patients

Background: Arterial hypertension (AH) leads to systolic and/or diastolic dysfunction of the left ventricle (LV) by causing structural changes in the myocardium. Myocardial performance index (MPI) provides the evaluation of LV systolic and diastolic functions together. Prognostic nutritional index (PNI) is an indicator of immunonutritional status. PNI was studied in patients with malignancy, malnutrition, and cardiovascular diseases so far. It was aimed to investigate the relationship between PNI and MPI in hypertensive patients.Methods: A total of 91 consecutive patients with newly diagnosed AH were included in the study. PNI was calculated according to the following formula: ((10 × serum albumin (g/dL))+(0.005 × total lymphocyte count)). MPI was obtained by dividing the sum of isovolumetric relaxation time (IVRT) and isovolumetric contraction time (IVCT) by the ejection time (ET) ((IVRT+IVCT)/ET). Patients were divided into two groups according to MPI is above or below the value of 0.5. The demographic characteristics and PNI values of patients were compared between two groups.Results: There were 65 patients in the higher and 26 patients were in the normal MPI group. Higher MPI group had male predominance (p = .002). Diastolic blood pressure (p = .021), interventricular septum thickness (p = .005), posterior wall thickness (PWT) (p = .001), serum albumin concentration (p = .045), and PNI (p = .013) were differed between groups. Multivariate logistic regression analysis revealed that PWT [OR = 1.835, 95% CI: 1.126-2.992, p = .015] and PNI [OR = 1.161, 95% CI: 1.004-1.343, p = .018] predicted higher MPI.Conclusion: Higher PNI was an independent predictor of LV dysfunction in newly diagnosed hypertensive patients. Immunonutritional status may be used as an indicator of the left ventricular function in patients with AH.

Cardiac Adiposity and Arrhythmias: The Role of Imaging

Increased cardiac fat depots are metabolically active tissues that have a pronounced pro-inflammatory nature. Increasing evidence supports a potential role of cardiac adiposity as a determinant of the substrate of atrial fibrillation and ventricular arrhythmias. The underlying mechanism appears to be multifactorial with local inflammation, fibrosis, adipocyte infiltration, electrical remodeling, autonomic nervous system modulation, oxidative stress and gene expression playing interrelating roles. Current imaging modalities, such as echocardiography, computed tomography and cardiac magnetic resonance, have provided valuable insight into the relationship between cardiac adiposity and arrhythmogenesis, in order to better understand the pathophysiology and improve risk prediction of the patients, over the presence of obesity and traditional risk factors. However, at present, given the insufficient data for the additive value of imaging biomarkers on commonly used risk algorithms, the use of different screening modalities currently is indicated for personalized risk stratification and prognostication in this setting.