Global Coronary Flow Reserve Measured During Stress Cardiac Magnetic Resonance Imaging Is an Independent Predictor of Adverse Cardiovascular Events

Raksha Indorkar, Raymond Y. Kwong, Simone Romano, Brent E. White, Richard C. Chia, Michael Trybula, Kaleigh Evans, Chetan Shenoy, Afshin Farzaneh-Far

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Objectives: The aim of this study was to evaluate the incremental prognostic value of global coronary flow reserve (CFR) in patients with known or suspected coronary artery disease who were undergoing stress cardiac magnetic resonance (CMR) imaging. Background: Coronary microvascular dysfunction results in impaired global CFR and is implicated in the development of both atherosclerosis and heart failure. Although noninvasive assessment of CFR with positron emission tomography provides independent prognostic information, the incremental prognostic value of CMR-derived CFR remains unclear. Methods: Consecutive patients undergoing stress perfusion CMR were prospectively enrolled (n = 507). Coronary sinus flow was measured using phase-contrast imaging at baseline (pre) and immediately after stress (peak) perfusion. CFR was calculated as the ratio of peak to pre-flow. Patients were followed for major adverse cardiac events (MACE): death, nonfatal myocardial infarction, heart failure hospitalization, sustained ventricular tachycardia, and late revascularization. Cox proportional hazards regression modeling was used to examine the association between CFR and MACE. The incremental prognostic value of CFR was assessed in nested models. Results: Over a median follow-up of 2.1 years, 80 patients experienced MACE. By Kaplan-Meier analysis, the risk of MACE was significantly higher in patients with CFR lower than the median (2.2) (log-rank p < 0.001); this remained significant after adjustment for the presence of ischemia and late gadolinium enhancement (LGE) (log-rank p < 0.001). CFR was significantly associated with the risk of MACE after adjustment for clinical and imaging risk factors, including ischemia extent, ejection fraction, and LGE size (hazard ratio: 1.238; p = 0.018). Addition of CFR in this model resulted in significant improvement in the C-index (from 0.70 to 0.75; p = 0.0087) and a continuous net reclassification improvement of 0.198 (95% confidence interval: 0.120 to 0.288). Conclusions: CMR-derived CFR is an independent predictor of MACE in patients with known or suspected coronary artery disease, incremental to common clinical and CMR risk factors. These findings suggest a role for CMR-derived CFR in identifying patients at risk of adverse events following stress CMR, even in the absence of ischemia and LGE.

Original languageEnglish (US)
Pages (from-to)1686-1695
Number of pages10
JournalJACC: Cardiovascular Imaging
Volume12
Issue number8P2
DOIs
StatePublished - Aug 2019

Bibliographical note

Funding Information:
Dr. Shenoy was supported by National Institutes of Health grant K23HL132011. Dr. Farzaneh-Far has received partial funding support from Astellas Pharma, but the company had no input on study design, endpoint adjudication, cardiac magnetic resonance interpretation, data analysis, or manuscript writing. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose. Dudley Pennell, MD, served as Guest Editor for this paper.

Keywords

  • cardiac magnetic resonance imaging
  • coronary artery disease
  • coronary flow reserve
  • coronary microvascular function
  • microcirculation
  • prognosis
  • stress testing

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