Key result
Threshold-based quantification of CMR sport indices (EDWT/LVEDVi) discriminated between physiological and pathological left ventricular hypertrophy with excellent diagnostic accuracy (AUC 0.999).
Why the study?
Differentiating physiological hypertrophy from hypertrophic cardiomyopathy requires accurate, less time-demanding CMR quantification methods to characterize gender-specific left ventricular hypertrophy.
Do CMR-based sport indices using threshold-based quantification improve the differentiation of hypertrophic cardiomyopathy from athlete's heart compared to conventional quantification?
Population
Highly trained athletes and hypertrophic cardiomyopathy patients
Comparison
Novel CMR quantification method vs physiological hypertrophy and hypertrophic cardiomyopathy
Authors
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May aid HCM vs athlete's heart differentiation in grey zones; leaves open prospective validation versus conventional CMR quantification.
Observational (n=354)
Single-blind
No
Do CMR-based sport indices using threshold-based quantification improve the differentiation of hypertrophic cardiomyopathy from athlete's heart compared to conventional quantification?
Effect estimate: AUC 0.999
Absolute Event Rate: 0.999% vs 0.998%
CMR-based sport indices using threshold-based quantification accurately differentiate hypertrophic cardiomyopathy from athlete's heart, particularly in the challenging grey zone of hypertrophy.
Czimbalmos et al. (2019) conducted an observational in Hypertrophic cardiomyopathy vs Athlete's heart (n=354). Threshold-based quantification of CMR sport indices vs. Conventional quantification was evaluated on Diagnostic accuracy (AUC) for discriminating physiological from pathological left ventricular hypertrophy (AUC 0.999). Threshold-based quantification of CMR sport indices (EDWT/LVEDVi) discriminated between physiological and pathological left ventricular hypertrophy with excellent diagnostic accuracy (AUC 0.999).
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