ArticleESC heart failure2022
Prediction of cardiac events with non-contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy.
Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Dilated versus non-dilated left ventricular cardiomyopathy: Same same but different?ESC heart failure · 2024Article
- Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis.Rheumatology international · 2023Article
- Diagnostic accuracy of left atrial function and strain for differentiating between acute and chronic myocardial infarction.BMC cardiovascular disorders · 2023Article
- Recent Non-Invasive Parameters to Identify Subjects at High Risk of Sudden Cardiac Death.Journal of clinical medicine · 2022Review
- Prediction of cardiac events with non-contrast magnetic resonance feature tracking in patients with ischaemic cardiomyopathy.ESC heart failure · 2022Article
- The Combination of Feature Tracking and Late Gadolinium Enhancement for Identification Between Hypertrophic Cardiomyopathy and Hypertensive Heart Disease.Frontiers in cardiovascular medicine · 2022Article
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe aim of this study was to evaluate the prognostic value of feature tracking (FT) derived cardiac magnetic resonance (CMR) strain parameters of the left ventricle (LV)/right ventricle (RV) in ischaemic cardiomyopathy (ICM) patients treated with an implantable cardioverter-defibrillator (ICD). Current guidelines suggest a LV-ejection fraction ≤35% as major criterion for ICD implantation in ICM, but this is a poor predictor for arrhythmic events. Supplementary parameters are missing. METHODS AND
resultsIschaemic cardiomyopathy patients (n = 242), who underwent CMR imaging prior to primary and secondary implantation of ICD, were classified depending on EF ≤ 35% (n = 188) or >35% (n = 54). FT parameters were derived from steady-state free precession cine views using dedicated software. The primary endpoint was a composite of cardiovascular mortality (CVM) and/or appropriate ICD therapy. There were no significant differences in FT-function or LV-/RV-function parameters in patients with an EF ≤ 35% correlating to the primary endpoint. In patients with EF > 35%, standard CMR functional parameters, such as LV-EF, did not reveal significant differences. However, significant differences in most FT parameters correlating to the primary endpoint were observed in this subgroup. LV-GLS (left ventricular-global longitudinal strain) and RV-GRS (right ventricular-global radial strain) revealed the best diagnostic performance in ROC curve analysis. The combination of LV-GLS and RV-GRS showed a sensitivity of 85% and a specificity of 76% for the prediction of future events.
conclusionsThe impact of FT derived measurements in the risk stratification of patients with ICM depends on LV function. The combination of LV-GLS/RV-GRS seems to be a predictor of cardiovascular mortality and/or appropriate ICD therapy in patients with EF > 35%.
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