MRI Assessment of Myocardial Deformation for Risk Stratification of Major Arrhythmic Events in Patients With Non‐Ischemic Cardiomyopathy Eligible for Primary Prevention Implantable Cardioverter Defibrillators

医学 心脏病学 内科学 临床终点 植入式心律转复除颤器 人口 累积发病率 磁共振成像 心肌病 心源性猝死 比例危险模型 心脏磁共振成像 心力衰竭 放射科 随机对照试验 队列 环境卫生
作者
Fahime Ghanbari,Julia Cirillo,Jennifer Rodriguez,Jennifer Yue,Manuel A. Morales,Daniel B. Kramer,Warren J. Manning,Reza Nezafat,Long Ngo
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
被引量:1
标识
DOI:10.1002/jmri.29238
摘要

Background Implantable cardioverter‐defibrillator (ICD) intervention is an established prophylactic measure. Identifying high‐benefit patients poses challenges. Purpose To assess the prognostic value of cardiac magnetic resonance imaging (MRI) parameters including myocardial deformation for risk stratification of ICD intervention in non‐ischemic cardiomyopathy (NICM) while accounting for competing mortality risk. Study Type Retrospective and prospective. Population One hundred and fifty‐nine NICM patients eligible for primary ICD (117 male, 54 ± 13 years) and 49 control subjects (38 male, 53 ± 5 years). Field Strength/Sequence Balanced steady state free precession (bSSFP) and three‐dimensional phase‐sensitive inversion‐recovery late gadolinium enhancement (LGE) sequences at 1.5 T or 3 T. Assessment Patients underwent MRI before ICD implantation and were followed up. Functional parameters, left ventricular global radial, circumferential and longitudinal strain, right ventricular free wall longitudinal strain (RV FWLS) and left atrial strain were measured (Circle, cvi42). LGE presence was assessed visually. The primary endpoint was appropriate ICD intervention. Models were developed to determine outcome, with and without accounting for competing risk (non‐sudden cardiac death), and compared to a baseline model including LGE and clinical features. Statistical Tests Wilcoxon non‐parametric test, Cox's proportional hazards regression, Fine‐Gray competing risk model, and cumulative incidence functions. Harrell's c statistic was used for model selection. A P value <0.05 was considered statistically significant. Results Follow‐up duration was 1176 ± 960 days (median: 896). Twenty‐six patients (16%) met the primary endpoint. RV FWLS demonstrated a significant difference between patients with and without events (−12.5% ± 5 vs. −16.4% ± 5.5). Univariable analyses showed LGE and RV FWLS were significantly associated with outcome (LGE: hazard ratio [HR] = 3.69, 95% CI = 1.28–10.62; RV FWLS: HR = 2.04, 95% CI = 1.30–3.22). RV FWLS significantly improved the prognostic value of baseline model and remained significant in multivariable analysis, accounting for competing risk (HR = 1.73, 95% CI = 1.12–2.66). Data Conclusions In NICM, RV FWLS may provide additional predictive value for predicting appropriate ICD intervention. Level of Evidence 2 Technical Efficacy Stage 5
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