| Popis: |
Background: Patients with nonischemic dilated cardiomyopathy (NIDCM) are prone to arrhythmias, and the cause of mortality in these patients is either end-organ dysfunction due to pump failure or malignant arrhythmia-related death. However, identification of patients with NIDCM at risk of malignant ventricular arrhythmias (VAs) is challenging in clinical practice. The aim of this study was to evaluate whether Cardiovascular magnetic resonance feature tracking (CMR-FT) may help in identification of patients with NIDCM at risk of malignant VAs. Methods: 263 NIDCM patients who underwent both CMR, 24-hour Holter electrocardiography (ECG) and inpatient ECG were retrospectively evaluated. The patients with NIDCM were divided into two subgroups: NIDCM with VAs and NIDCM without VAs. From CMR-FT, the global peak radial strain (GPRS), global longitudinal strain (GPLS), and global peak circumferential strain (GPCS) were calculated respectively from left ventricle (LV) model. We investigated the possible predictors of NIDCM combined with VAs by univariate and multivariate logistic regression analyses. Results: The percent LGE (15.51±3.30 vs. 9.62±2.18, PConclusions: CMR global strain can early differentiate of NIDCM patients complicated with VAs specifically when LGE was not present. GPCS < −13.19% and % LGE > 10.37% are independent predictors of NIDCM combined with VAs. |
