Single-beat Estimation of Ventricular End-systolic Elastance–Effective Arterial Elastance as an Index of Ventricular Mechanoenergetic Performance

Author:

Hayashi Kazuko1,Shigemi Kenji2,Shishido Toshiaki3,Sugimachi Masaru4,Sunagawa Kenji5

Affiliation:

1. Assistant Professor, Department of Anesthesiology, Kyoto Prefectural University of Medicine.

2. Associate Professor, Department of Anesthesiology, Kyoto Prefectural University of Medicine.

3. Research Scientist, Department of Cardiovascular Dynamics, National Cardiovascular Center Research Institute.

4. Senior Research Scientist, Department of Cardiovascular Dynamics, National Cardiovascular Center Research Institute.

5. Chairman, Department of Cardiovascular Dynamics, National Cardiovascular Center Research Institute.

Abstract

Background The ratio of ventricular end-systolic elastance (Ees) to effective arterial elastance (Ea) is known to reflect not only ventricular mechanical performance but also energetic performance. Despite these useful features, technical difficulties associated with estimating Ees make the clinical application of Ees/Ea impractical. We developed a framework to estimate Ees/Ea without measuring ventricular volume or altering the loading condition. Methods To achieve this goal, we approximated the ventricular time-varying elastance curve with two straight lines, one for the isovolumic phase and the other for the ejection phase, and characterized the curve with the slope ratio, k, of these two straight lines. Using the concept of the pressure-volume relationship, Ees/Ea is algebraically expressed as Ees/Ea = Pad/Pes (1 + k. ET/PEP) - 1, where Pes is end-systolic pressure, Pad is aortic diastolic pressure, ET is ejection time, and PEP is pre-ejection period. In 11 anesthetized dogs, we recorded arterial and ventricular pressures and ventricular volume and estimated Ees and Ea under various contractile states and loading conditions. Results An empirical relation between k and Ees/Ea was found as k = 0.53 (Ees/Ea)0.51. Simultaneous solution of these two equations yielded Ees/Ea as a function of Pad/Pes and ET/PEP. The estimated Ees/Ea values correlated well with the measured Ees/Ea values ([Measured Ees/Ea] = 0.96 [Estimated Ees/Ea] + 0.098, r = 0.925, SEE = 0.051). Conclusions The proposed framework is capable of estimating Ees/Ea from ventricular and aortic pressure.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

Reference17 articles.

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