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This protocol presents a detailed approach to replicating a murine model of hyperlipidemia-induced heart failure with preserved ejection fraction (HFpEF). The design combines the administration of adeno-associated virus 9-cardiac troponin T-low-density lipoprotein receptor (AAV9-cTnT-LDLR) and poloxamer-407...
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This work introduces two computational models of heart failure with preserved ejection fraction based on a lumped-parameter approach and finite element analysis. These models are used to evaluate the changes in the hemodynamics of the left ventricle and related vasculature induced by pressure overload and diminished ventricular compliance.
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An accurate and practical method to measure parameters like strain in myocardial tissue is of great clinical value, since it has been shown, that strain is a more sensitive and earlier marker for contractile dysfunction than the frequently used parameter EF.
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The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
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Related Experiment Video

Updated: Jan 20, 2026

Author Spotlight: Exploring the Relationship Between Lipotoxicity and HFpEF
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Should we search for linear correlations between global strain parameters and ejection fraction? Reply

Mikhail Altman1, Laura Ernande1, Cyrille Bergerot1

  • 1Louis Pradel Hospital, Laboratoire d'echocardiographie, Avenue Doyen Lépine, Lyon, France.

European Heart Journal. Cardiovascular Imaging
|October 3, 2014
PubMed
Summary

No abstract available in PubMed .

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