Determinants of myocardial energetics and efficiency in symptomatic hypertrophic cardiomyopathy

SAJ Timmer, T Germans, MJW Gotte, IK Russel, PA Dijkmans, M Lubberink, JM van den Berg, Folkert ten Cate, AA Lammertsma, P Knaapen, AC van Rossum

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Abstract

Next to hypertrophy, hypertrophic cardiomyopathy (HCM) is characterized by alterations in myocardial energetics. A small number of studies have shown that myocardial external efficiency (MEE), defined by external work (EW) in relation to myocardial oxidative metabolism (MVO2), is reduced. The present study was conducted to identify determinants of MEE in patients with HCM by use of dynamic positron emission tomography (PET) and cardiovascular magnetic resonance imaging (CMR). Twenty patients with HCM (12 men, mean age: 55.2 +/- 13.9 years) and 11 healthy controls (7 men, mean age: 48.1 +/- 10 years) were studied with [C-11]acetate PET to assess MVO2. CMR was performed to determine left ventricular (LV) volumes and mass (LVM). Univariate and multivariate analyses were employed to determine independent predictors of myocardial efficiency. Between study groups, MVO2 (controls: 0.12 +/- 0.04 ml center dot min(-1)center dot g(-1), HCM: 0.13 +/- 0.05 ml center dot min(-1)center dot g(-1), p = 0.64) and EW (controls: 9,139 +/- 2,484 mmHg center dot ml, HCM: 9,368 +/- 2,907 mmHg center dot ml, p = 0.83) were comparable, whereas LVM was significantly higher (controls: 99 +/- 21 g, HCM: 200 +/- 76 g, p < 0.001) and MEE was decreased in HCM patients (controls: 35 +/- 8%, HCM: 21 +/- 10%, p < 0.001). MEE was related to stroke volume (SV), LV outflow tract gradient, NH2-terminal pro-brain natriuretic peptide (NT-proBNP) and serum free fatty acid levels (all p < 0.05). Multivariate analysis revealed that SV ( = 0.74, p < 0.001) and LVM ( = -0.43, p = 0.013) were independently related to MEE. HCM is characterized by unaltered MVO2, impaired EW generation per gram of myocardial tissue and subsequent deteriorated myocardial efficiency. Mechanical external efficiency could independently be predicted by SV and LVM.
Original languageUndefined/Unknown
Pages (from-to)779-788
Number of pages10
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
Volume37
Issue number4
DOIs
Publication statusPublished - 2010

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