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October 17, 2000Circulation137 citationsOpen Access

Single-Beat Estimation of End-Systolic Elastance Using Bilinearly Approximated Time-Varying Elastance Curve

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TSToshiaki ShishidoKHKazuko HayashiKSKenji Shigemi

Structured PICO

Does a single-beat estimation method using bilinear approximation accurately measure left ventricular end-systolic elastance compared to caval occlusion in anesthetized dogs?

P
Population
11 anesthetized dogs
I
Intervention
Single-beat estimation of end-systolic elastance (E es) using bilinearly approximated time-varying elastance curve derived from pressure values, systolic time intervals, and stroke volume
C
Comparator
E es obtained with caval occlusion
O
Outcome
Accuracy of E es estimation (correlation and standard error of estimate)surrogate

A novel single-beat method using bilinear approximation accurately estimates left ventricular end-systolic elastance without requiring changes in loading conditions.

Abstract

Background —Although left ventricular end-systolic elastance (E es ) has often been used as an index of contractility, technical difficulties in measuring volume and in changing loading conditions have made its clinical application somewhat limited. By approximating the time-varying elastance curve by 2 linear functions (isovolumic contraction phase and ejection phase) and estimating the slope ratio of these, we developed a method to estimate E es on a single-beat basis from pressure values, systolic time intervals, and stroke volume. Methods and Results —In 11 anesthetized dogs, we compared single-beat E es with that obtained with caval occlusion. Although the decrease (but not the increase) in contractility (5.3 to 11.4 mm Hg/mL) and the change in loading conditions (3.7 to 34.0 mm Hg/mL) over wide ranges significantly altered the slope ratio, the estimation of E es was reasonably accurate ( y =0.97 x +0.46, r =0.929, SEE=2.1 mm Hg/mL). Conclusions —E es can be estimated on a single-beat basis from easily obtainable variables by approximating the time-varying elastance curve by a bilinear function.

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Cite This Study

Shishido et al. (2000) studied this question.

synapsesocial.com/papers/6a0b990cd7f95f637495c9c7https://doi.org/10.1161/01.cir.102.16.1983
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