Hemodynamic assessment of diastolic function for experimental models

Author:

Ogilvie Leslie M.12,Edgett Brittany A.132ORCID,Huber Jason S.1,Platt Mathew J.1,Eberl Hermann J.4,Lutchmedial Sohrab35,Brunt Keith R.32,Simpson Jeremy A.12

Affiliation:

1. Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, Ontario, Canada

2. IMPART Investigator Team Canada, Saint John, New Brunswick, Canada

3. Department of Pharmacology, Dalhousie Medicine New Brunswick, Saint John, New Brunswick, Canada

4. Department of Mathematics and Statistics, University of Guelph, Guelph, Ontario, Canada

5. Department of Cardiology, New Brunswick Heart Center, Saint John Regional Hospital, Horizon Health Network, Saint John, New Brunswick, Canada

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. Listen to this article’s corresponding podcast at https://ajpheart.podbean.com/e/assessment-of-diastolic-function/ .

Funder

Canadian Institutes of Health Research

Natural Science and Engineering Research Council

Heart and Stroke Foundation of Canada

The Killam Foundation

Publisher

American Physiological Society

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine,Physiology

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