Early Myocardial Repolarization Heterogeneity Is Detected by Magnetocardiography in Diabetic Patients with Cardiovascular Risk Factors

• Published in: PloS one Vol. 10; no. 7; p. e0133192
• Main Authors: Chang, Yi-Cheng, Wu, Chau-Chung, Lin, Chih-Hung, Wu, Yen-Wen, Yang, Ying-Chieh, Chang, Tien-Jyun, Jiang, Yi-Der, Chuang, Lee-Ming
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 17.07.2015; Public Library of Science (PLoS)
• Subjects: Adipose tissue; Arrhythmia; Body weight; Cardiac arrhythmia; Cardiovascular diseases; Cholesterol; Cigarettes; Coronary artery; Coronary artery disease; Coronary heart disease; Correlation analysis; Diabetes; Diabetes mellitus; Diabetes Mellitus, Type 2 - complications; Diabetics; Dispersion; Electrocardiography; Female; Glomerular filtration rate; Health risk assessment; Health risks; Heart diseases; Hemoglobin; Hemoglobins; Heterogeneity; Humans; Insurance claims; Ischemia; Magnetocardiography; Male; Metabolic disorders; Metabolic syndrome; Mortality; Myocardial ischemia; Myocardial Ischemia - diagnosis; Myocardial Ischemia - etiology; Patients; Regression analysis; Reproducibility; Risk analysis; Risk Factors; Smoking; Smoothness; Spatial distribution; Spatial heterogeneity; Superconducting quantum interference devices; Superconductivity; Superconductors; Ventricle
• DOI: 10.1371/journal.pone.0133192
• ISSN: 1932-6203

Multi-channel magnetocardiography (MCG) is a sensitive technique to map spatial ventricular repolarization with high resolution and reproducibility. Spatial ventricular repolarization heterogeneity measured by MCG has been shown to accurately detect and localize myocardial ischemia. Here, we explored whether these measurements correlated with cardiovascular risk factors in patients with type 2 diabetes. Two hundreds and seventy-seven type 2 diabetic patients without known coronary artery disease (CAD) and arrhythmia were recruited consecutively from the outpatient clinic of National Taiwan University Hospital. The spatially distributed QTc contour maps were constructed with 64-channel MCG using the superconducting quantum interference device (SQUID) system. Indices of myocardial repolarization heterogeneity including the smoothness index of QTc (SI-QTc) and QTc dispersion were derived and analyzed for association with conventional cardiovascular risk factors. SI-QTc correlated strongly with the QTc dispersion (r = 0.70, p <0.0001). SI-QTc was significantly higher in patients with presence of metabolic syndrome in comparison to those without metabolic syndrome (8.56 vs. 7.96 ms, p = 0.02). In univariate correlation analyses, QTc dispersion was associated with smoking status (average 79.90, 83.83, 86.51, and 86.00 ms for never smokers, ex-smokers, current smokers reporting less than 10 cigarettes daily, and current smoker reporting more than 10 cigarettes daily, respectively, p = 0.03), body weight (r = 0.15, p = 0.01), and hemoglobin A1c (r = 0.12, p = 0.04). In stepwise multivariate regression analyses, QTc dispersion was associated with smoking (p = 0.02), body weight (p = 0.04), total cholesterol levels (p = 0.05), and possibly estimated glomerular filtration rate (p = 0.07). In summary, spatial heterogeneity of myocardial repolarization measured by MCG is positively associated cardiovascular risk factors including adiposity, smoking, and total cholesterol levels.