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Updated: Dec 25, 2025

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Published on: July 21, 2023
Hemodynamic assessment of diastolic function for experimental models
Leslie M Ogilvie1,2, Brittany A Edgett1,3,2, Jason S Huber1
1Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada.
Insights
This review details hemodynamic assessments of cardiac diastolic function, crucial for understanding heart failure. It guides researchers on accurate measurement techniques and controlling variables for reliable results in experimental models.
Area of Science:
- Cardiovascular Physiology
- Cardiac Mechanics
- Heart Failure Research
Background:
- Cardiac function evaluation traditionally emphasizes systolic function.
- Diastolic function's role in overall cardiac health and heart failure is increasingly recognized.
- Accurate hemodynamic assessment of diastolic function is needed for research models.
Purpose of the Study:
- To review the principles of cardiac diastolic function.
- To identify and explain hemodynamic parameters for evaluating diastolic function.
- To provide guidelines for hemodynamic data collection in heart failure models.
Main Methods:
- Summarizing underlying principles of diastole (relaxation and filling).
- Identifying hemodynamic parameters, their acquisition, advantages, and limitations.
- Analyzing parameter sensitivity to loading conditions and breathing variations.
Main Results:
- Hemodynamics offer direct in vivo assessment of diastolic function.
- Comparison of automated vs. custom software for diastolic/systolic indices accuracy.
- Identification of key variables (temperature, anesthetic, sampling rate) for hemodynamic data collection.
Conclusions:
- This review provides fundamental knowledge for evaluating diastolic function using hemodynamics.
- Guidelines are offered for troubleshooting and accurate assessment in experimental heart failure models.
- Understanding diastolic function hemodynamics is essential for advancing heart failure research.
Abstract:
Traditionally, the evaluation of cardiac function has focused on systolic function; however, there is a growing appreciation for the contribution of diastolic function to overall cardiac health. Given the emerging interest in evaluating diastolic function in all models of heart failure, there is a need for sensitivity, accuracy, and precision in the hemodynamic assessment of diastolic function. Hemodynamics measure cardiac pressures in vivo, offering a direct assessment of diastolic function. In this review, we summarize the underlying principles of diastolic function, dividing diastole into two phases: 1) relaxation and 2) filling. We identify parameters used to comprehensively evaluate diastolic function by hemodynamics, clarify how each parameter is obtained, and consider the advantages and limitations associated with each measure. We provide a summary of the sensitivity of each diastolic parameter to loading conditions. Furthermore, we discuss differences that can occur in the accuracy of diastolic and systolic indices when generated by automated software compared with custom software analysis and the magnitude each parameter is influenced during inspiration with healthy breathing and a mild breathing load, commonly expected in heart failure. Finally, we identify key variables to control (e.g., body temperature, anesthetic, sampling rate) when collecting hemodynamic data. This review provides fundamental knowledge for users to succeed in troubleshooting and guidelines for evaluating diastolic function by hemodynamics in experimental models of heart failure.
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