Prognostic role of feature tracking strain in stress cardiac magnetic eesonance (the PROGRESS study)

Abstract

Abstract Funding Acknowledgements Type of funding sources: None. Objectives This study aims to assess the role of feature-tracking (FT) strain in the long-term risk stratification of a large population of patients with known or suspected coronary artery disease (CAD) undergoing stress cardiac magnetic resonance (S-CMR) with dipyridamole. Background Recently, FT strain has been applied to S-CMR to improve risk stratification of patients with known or suspected CAD. However, no data are available on the prognostication role of FT strain in patients undergoing a S-CMR with dipyridamole. Methods 729 consecutive patients (age: 63±10 y, male 84%) with stable symptoms suggesting possible cardiac ischemia underwent dipyridamole S-CMR and followed up for 5.8±1.2 years. CMR-FT analysis was performed in each patient to obtain 2D global peak systolic rest and stress longitudinal (GLS), circumferential (GCS), and radial strain (GRS). Major adverse cardiac events (MACE) were defined as non-fatal myocardial infarction and cardiac death. Results MACE occurred in 70 (9.6%) patients. At multivariate analysis, the presence of late gadolinium enhancement (LGE) (HR 2.737 [95% CI 1.534–4.884]), p <0.001, and stress GCS (HR 1.064 [95% CI 1.011–1.119]), p = 0.0164 were independently associated with MACE. By Kaplan-Meier analysis, patients with stress GCS >-15% had significantly reduced event-free survival compared with those with stress GCS ≤-15 (log-rank p = 0.007). The best predictive model of MACE included left ventricular ejection fraction (LVEF) + positive S-CMR for inducible ischemia (positive S-CMR) + LGE. A model based on LVEF + stress GCS (contrast free) showed higher performance in predicting MACE compared to LVEF alone and a similar performance compared to LVEF + positive S-CMR (p =0.05). Conclusions In patients with known or suspected CAD undergoing S-CMR with dipyridamole, stress GCS and LGE presence are independent predictors of MACE. Adding strain analysis of stress GCS can help define patients' risk after S-CMR on top of LVEF without needing contrast agents.