Key result
Predominance of scar distribution involving 26% to 75% of wall thickness on MRI was independently predictive of inducible ventricular tachycardia (OR 9.125; P=0.020).
Why the study?
Does MRI assessment of scar distribution predict inducible ventricular tachycardia in patients with nonischemic cardiomyopathy?
Observational (n=26)
Does MRI assessment of scar distribution predict inducible ventricular tachycardia in patients with nonischemic cardiomyopathy?
MRI assessment of mid-wall scar distribution (26-75% transmurality) strongly predicts inducible ventricular tachycardia in nonischemic cardiomyopathy, independent of LVEF.
Answers are grounded in this paper and cite their sources.
May refine inducible VT risk stratification in nonischemic cardiomyopathy; hypothesis-generating and requires prospective validation.
BACKGROUND: Patients with left ventricular dysfunction have an elevated risk of sudden cardiac death. However, the substrate for ventricular arrhythmia in patients with nonischemic cardiomyopathy remains poorly understood. We hypothesized that the distribution of scar identified by MRI is predictive of inducible ventricular tachycardia. METHODS AND RESULTS: Short-axis cine steady-state free-precession and postcontrast inversion-recovery gradient-echo MRI sequences were obtained before electrophysiological study in 26 patients with nonischemic cardiomyopathy. Left ventricular ejection fraction was measured from end-diastolic and end-systolic cine images. The transmural extent of scar as a percentage of wall thickness (percent scar transmurality) in each of 12 radial sectors per slice was calculated in all myocardial slices. The percentages of sectors with 1% to 25%, 26% to 50%, 51% to 75%, and 76% to 100% scar transmurality were determined for each patient. Predominance of scar distribution involving 26% to 75% of wall thickness was significantly predictive of inducible ventricular tachycardia and remained independently predictive in the multivariable model after adjustment for left ventricular ejection fraction (odds ratio, 9.125; P=0.020). CONCLUSIONS: MR assessment of scar distribution can identify the substrate for inducible ventricular tachycardia and may identify high-risk patients with nonischemic cardiomyopathy currently missed by ejection fraction criteria.
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Nazarian et al. (2005) conducted an observational in Nonischemic cardiomyopathy (n=26). Magnetic Resonance Imaging (MRI) assessment of scar distribution was evaluated on Inducible ventricular tachycardia (OR 9.125, p=0.020). Predominance of scar distribution involving 26% to 75% of wall thickness on MRI was independently predictive of inducible ventricular tachycardia (OR 9.125; P=0.020).
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