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Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease

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2014

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Public Library of Science
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Hiremath, P., M. Bauer, A. D. Aguirre, H. Cheng, K. Unno, R. B. Patel, B. W. Harvey, et al. 2014. “Identifying Early Changes in Myocardial Microstructure in Hypertensive Heart Disease.” PLoS ONE 9 (5): e97424. doi:10.1371/journal.pone.0097424. http://dx.doi.org/10.1371/journal.pone.0097424.

Abstract

The transition from healthy myocardium to hypertensive heart disease is characterized by a series of poorly understood changes in myocardial tissue microstructure. Incremental alterations in the orientation and integrity of myocardial fibers can be assessed using advanced ultrasonic image analysis. We used a modified algorithm to investigate left ventricular myocardial microstructure based on analysis of the reflection intensity at the myocardial-pericardial interface on B-mode echocardiographic images. We evaluated the extent to which the novel algorithm can differentiate between normal myocardium and hypertensive heart disease in humans as well as in a mouse model of afterload resistance. The algorithm significantly differentiated between individuals with uncomplicated essential hypertension (N = 30) and healthy controls (N = 28), even after adjusting for age and sex (P = 0.025). There was a trend in higher relative wall thickness in hypertensive individuals compared to controls (P = 0.08), but no difference between groups in left ventricular mass (P = 0.98) or total wall thickness (P = 0.37). In mice, algorithm measurements (P = 0.026) compared with left ventricular mass (P = 0.053) more clearly differentiated between animal groups that underwent fixed aortic banding, temporary aortic banding, or sham procedure, on echocardiography at 7 weeks after surgery. Based on sonographic signal intensity analysis, a novel imaging algorithm provides an accessible, non-invasive measure that appears to differentiate normal left ventricular microstructure from myocardium exposed to chronic afterload stress. The algorithm may represent a particularly sensitive measure of the myocardial changes that occur early in the course of disease progression.

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Medicine and Health Sciences, Cardiology, Cardiovascular Imaging, Vascular Medicine, Blood Pressure, Hypertension

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