Key result
LGE-CMR-derived total scar size significantly predicted ventricular tachyarrhythmias in ischaemic cardiomyopathy (AUC 0.721-0.812, p<0.01), with no added diagnostic accuracy from scar core size.
Why the study?
Do LGE-CMR-derived scar tissue characteristics predict ventricular tachyarrhythmias in patients with ischaemic cardiomyopathy?
Population
55 patients with ischaemic cardiomyopathy who received an implantable cardioverter defibrillator for primary…
Design
Cohort
Follow-up
median 2.0 years (IQR 1.0-3.0 years)
Authors
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CMR scar assessment may refine SCD risk stratification in ischaemic cardiomyopathy; leaves open optimal LGE method for routine use.
Cohort (n=55)
Do LGE-CMR-derived scar tissue characteristics predict ventricular tachyarrhythmias in patients with ischaemic cardiomyopathy?
Effect estimate: AUC 0.721-0.812
p-value: p=<0.01
LGE-CMR-derived total scar size is predictive of ventricular tachyarrhythmias in patients with ischaemic cardiomyopathy, and additional estimation of scar core size or peri-infarct zone does not appear to increase diagnostic accuracy.
Haan et al. (2011) conducted a cohort in ischaemic cardiomyopathy (n=55). LGE-CMR scar characteristic assessment was evaluated on ventricular tachyarrhythmias (AUC 0.721-0.812, p=<0.01). LGE-CMR-derived total scar size significantly predicted ventricular tachyarrhythmias in ischaemic cardiomyopathy (AUC 0.721-0.812, p<0.01), with no added diagnostic accuracy from scar core size.
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