Key result
A free-asymptote model improves left ventricular pressure curve fitting over fixed zero but reduces parameter precision.
Why the study?
The reliability of the estimated relaxation constant derived from left ventricular pressure decays using different monoexponential models was unclear.
Caution advised in interpreting LV tau estimates clinically; leaves open optimal asymptote modeling for diastolic research.
The objective of this study was to use high-fidelity animal data and numerical simulations to gain more insight into the reliability of the estimated relaxation constant derived from left ventricular pressure decays, assuming a monoexponential model with either a fixed zero or free moving pressure asymptote. Comparison of the experimental data with the results of the simulations demonstrated a trade off between the fixed zero and the free moving asymptote approach. The latter method more closely fits the pressure curves and has the advantage of producing an extra coefficient with potential diagnostic information. On the other hand, this method suffers from larger standard errors on the estimated coefficients. The method with fixed zero asymptote produces values of the time constant of isovolumetric relaxation (tau) within a narrow confidence interval. However, if the pressure curve is actually decaying to a nonzero pressure asymptote, this method results in an inferior fit of the pressure curve and a biased estimation of tau.
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Mey et al. (2001) studied Left ventricular pressure decay. Monoexponential model with free moving pressure asymptote vs. Monoexponential model with fixed zero pressure asymptote was evaluated on Reliability of the estimated relaxation constant (tau). A monoexponential model with a free moving pressure asymptote more closely fits left ventricular pressure curves than a fixed zero asymptote, but suffers from larger standard errors.
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