4.6 Article

Extracellular Volume Associates With Outcomes More Strongly Than Native or Post-Contrast Myocardial T1

期刊

JACC-CARDIOVASCULAR IMAGING
卷 13, 期 1, 页码 44-54

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jcmg.2019.03.017

关键词

cardiovascular magnetic resonance; extracellular matrix; extracellular volume fraction; myocardial fibrosis; T1 mapping

资金

  1. Pittsburgh Foundation (PA) [M2009-0068]
  2. American Heart Association Scientist Development grant [09SDG2180083]
  3. T. Franklin Williams Scholarship Award
  4. Atlantic Philanthropies, Inc.
  5. John A. Hartford Foundation
  6. Association of Specialty Professors
  7. American Heart Association (Dallas, Texas)
  8. National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH) [UL1 RR024153]
  9. NIH Roadmap for Medical Research
  10. Agency for Healthcare Research and Quality [K12 HS19461-01]
  11. National Institute of Health Research (NIHR)
  12. UCLH NIHR Biomedical Research Centre
  13. Biomedical Research Unit at UCLH
  14. Biomedical Research Unit at Barts
  15. National Institute for Health Research [CS-2015-15-003]
  16. Roche
  17. Guerbet

向作者/读者索取更多资源

OBJECTIVES Because risk stratification data represents a key domain of biomarker validation, we compared associations between outcomes and various cardiovascular magnetic resonance (CMR) metrics quantifying myocardial fibrosis (MF) in noninfarcted myocardium: extracellular volume fraction (ECV), native T1, post-contrast T1, and partition coefficient. BACKGROUND MF associates with vulnerability to adverse events (e.g., mortality and hospitalization for heart failure [HHF]), but investigators still debate its optimal measurement; most histological validation data show strongest ECV correlations with MF. METHODS We enrolled 1,714 consecutive patients without amyloidosis or hypertrophic cardiomyopathy from a single CMR referral center serving an integrated healthcare network. We measured T1 (MOdified Look-Locker Inversion recovery [MOLLI]) in nonenhanced myocardium, averaged from 2 short-axis slices (basal and mid) before and 15 to 20 min after a gadolinium contrast bolus. We compared chi-square test values from CMR MF measures in univariable and multivariable Cox regression models. We assessed dose-response relationships in Kaplan-Meier curves using log-rank statistics for quartile strata. We also computed net reclassification improvement (NRI) and integrated discrimination improvement (IDI for Cox models with ECV vs. native T1). RESULTS Over a median of 5.6 years, 374 events occurred after CMR (162 HHF events and 279 deaths, 67 with both). ECV yielded the best separation of Kaplan-Meier curves and the highest log-rank statistics. In univariable and multivariable models, ECV associated most strongly with outcomes, demonstrating the highest chi-square test values. Native T1 or post-contrast T1 did not associate with outcomes in the multivariable model. ECV provided added prognostic value to models with native T1, for example, in multivariable models IDI = 0.0037 (95% confidence interval [CI]: 0.0009 to 0.0071), p = 0.02; NRI = 0.151 (95% CI: 0.022 to 0.292), p = 0.04. CONCLUSIONS Analogous to histological previously published validation data, ECV myocardial fibrosis measures exhibited more robust associations with outcomes than other surrogate CMR MF measures. Superior risk stratification by ECV supports claims that ECV optimally measures MF in noninfarcted myocardium. (C) 2020 the American College of Cardiology Foundation. Published by Elsevier. All rights reserved.

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