Published Online:https://doi.org/10.1148/radiol.2015150035

Fatty liver itself could, at least in obesity, pose a risk of myocardial dysfunction above and beyond known cardiovascular risk factors that are clustered within the metabolic syndrome.

Purpose

To investigate the association between hepatic triglyceride content and left ventricular (LV) diastolic function while taking potential confounding factors into account, including the components of the metabolic syndrome.

Materials and Methods

The study was approved by the institutional review board, and all participants gave informed consent. In this cross-sectional analysis of baseline data from the Netherlands Epidemiology of Obesity study, a population-based, prospective cohort study, participants (45% men; mean age ± standard deviation, 55.3 years ± 6.2) underwent magnetic resonance (MR) spectroscopy and MR imaging to assess hepatic triglyceride content and LV diastolic heart function (ratio of peak filling rates of the early filling phase and atrial contraction [E/A ratio]). Multivariate linear regression analysis was performed while adjusting for confounding factors, and results were additionally stratified according to body mass index.

Results

Adjustment for age, sex, heart rate, alcohol consumption, pack-years of smoking, all components of the metabolic syndrome, and visceral adiposity attenuated crude observed associations. A 10-fold increase in hepatic triglyceride content was associated with a change in mean E/A ratio of −0.004 (95% confidence interval [CI]: −0.134, 0.125) in the total study population, −0.194 (95% CI: −0.430, 0.042) in the normal-weight subgroup, 0.079 (95% CI: −0.090, 0.248) in the overweight subgroup, and −0.109 (95% CI: −0.186, −0.032) in the obese subgroup.

Conclusion

Fatty liver itself could, at least in obesity, pose a risk of myocardial dysfunction above and beyond known cardiovascular risk factors that are clustered within the metabolic syndrome. The association in the obese subgroup was small, and future studies with larger samples sizes are required to investigate to what extent the association exists and differs in normal-weight, overweight, and obese persons to unravel its clinical relevance.

© RSNA, 2016

Online supplemental material is available for this article.

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Article History

Received January 6, 2015; revision requested March 30; revision received September 9; accepted October 2; final version accepted October 16.
Published online: Jan 26 2016
Published in print: May 2016