4.5 Article

Global longitudinal strain by feature tracking for optimized prediction of adverse remodeling after ST-elevation myocardial infarction

Journal

CLINICAL RESEARCH IN CARDIOLOGY
Volume 110, Issue 1, Pages 61-71

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00392-020-01649-2

Keywords

Cardiac magnetic resonance imaging; Myocardial strain; ST-segment elevation myocardial infarction; Left ventricular remodeling

Funding

  1. Austrian Society of Cardiology
  2. Medical University Innsbruck MUI-START [2015-06-013]

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In patients with STEMI, global longitudinal strain (GLS) measured by CMR-FT was found to be an independent predictor of adverse LV remodeling. Adding GLS to the baseline model improved the prediction of remodeling risk, suggesting its incremental prognostic value over LVEF and CMR markers of infarct severity.
Background The role of left ventricular (LV) myocardial strain by cardiac magnetic resonance feature tracking (CMR-FT) for the prediction of adverse remodeling following ST-elevation myocardial infarction (STEMI), as well as its prognostic validity compared to LV ejection fraction (LVEF) and CMR infarct severity parameters, is unclear. This study aimed to evaluate the independent and incremental value of LV strain by CMR-FT for the prediction of adverse LV remodeling post-STEMI. Methods STEMI patients treated with primary percutaneous coronary intervention were enrolled in this prospective observational study. CMR core laboratory analysis was performed to assess LVEF, infarct pathology and LV myocardial strain. The primary endpoint was adverse remodeling, defined as >= 20% increase in LV end-diastolic volume from baseline to 4 months. Results From the 232 patients included, 38 (16.4%) reached the primary endpoint. Global longitudinal strain (GLS), global radial strain, and global circumferential strain were all predictive of adverse remodeling (p < 0.01 for all), but only GLS was an independent predictor of adverse remodeling (odds ratio: 1.36[1.03-1.78]; p = 0.028) after adjustment for strain parameters, LVEF and CMR markers of infarct severity. A GLS > - 14% was associated with a fourfold increase in the risk for LV remodeling (odds ratio: 4.16[1.56-11.13]; p = 0.005). Addition of GLS to a baseline model comprising LVEF, infarct size and microvascular obstruction resulted in net reclassification improvement of 0.26 ([0.13-0.38]; p < 0.001) and integrated discrimination improvement of 0.02 ([0.01-0.03]; p = 0.006). Conclusions In STEMI survivors, determination of GLS using CMR-FT provides important prognostic information for the development of adverse remodeling that is incremental to LVEF and CMR markers of infarct severity.

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