Why the study?
To identify left ventricular myocardial mechanics predictors of left ventricular outflow tract obstruction in patients with hypertrophic cardiomyopathy.
Does cardiovascular magnetic resonance feature tracking analysis predict left ventricular outflow tract obstruction in adults with hypertrophic cardiomyopathy?
Does cardiovascular magnetic resonance feature tracking analysis predict left ventricular outflow tract obstruction in adults with hypertrophic cardiomyopathy?
Cardiovascular magnetic resonance feature tracking parameters (GRS-SAX, GLS-LAX, and GRS-LAX) can accurately predict left ventricular outflow tract obstruction in patients with hypertrophic cardiomyopathy.
OBJECTIVE: To identify left ventricular (LV) myocardial mechanics predictors of LV outflow tract obstruction (LVOTO) in patients with hypertrophic cardiomyopathy (HCM). METHODS: Thirty-nine adults with HCM and 21 controls underwent cardiovascular magnetic resonance. The feature tracking (FT) analysis results of HCM patients with and without LVOTO and controls were compared. RESULTS: Global radial strain measured on the short-axis slice (GRS-SAX) (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.02-1.15; P < 0.01), global longitudinal strain measured on the long-axis slice (GLS-LAX) (OR, 1.81; 95% CI, 1.21-2.73; P < 0.01) and GRS measured on the long-axis slice (GRS-LAX) (OR, 1.07; 95% CI, 1.01-1.13; P = 0.02) were independent predictors of LVOTO. The combination of GRS-SAX plus GLS-LAX and GRS-LAX showed great discriminatory power for identifying LVOTO with an area under the receiver operating characteristic curve value of 0.91 (95% CI: 0.81-1.00). CONCLUSIONS: In adult HCM patients, GRS-SAX, GLS-LAX, and GRS-LAX were independent predictors of LVOTO. The combination of GRS-SAX plus GLS-LAX and GRS-LAX showed great discriminatory power for identifying LVOTO.
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Huang et al. (2020) studied this question.
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