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Hemodynamic assessment of diastolic function for experimental models
Author(s) -
Leslie M. Ogilvie,
Brittany A. Edgett,
Jason S. Huber,
Mathew J. Platt,
Hermann J. Eberl,
Sohrab Lutchmedial,
Keith R. Brunt,
Jeremy A. Simpson
Publication year - 2020
Publication title -
american journal of physiology. heart and circulatory physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.524
H-Index - 197
eISSN - 1522-1539
pISSN - 0363-6135
DOI - 10.1152/ajpheart.00705.2019
Subject(s) - diastole , diastolic function , hemodynamics , heart failure , cardiology , medicine , diastolic heart failure , cardiac function curve , blood pressure
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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