Key result
Open-source program detects dynamic arterial elastance falling from ~0.86 to ~0.37 post-bypass in animals.
Why the study?
Dynamic arterial elastance (Eadyn) reflects ventricular–arterial coupling and vasoplegia but remains underused in translational cardiac surgery research.
A novel open-source computational program feasibly quantifies dynamic arterial elastance from arterial waveforms in a large animal model, offering a device-agnostic tool for ventricular-arterial coupling research.
PURPOSE The purpose of this new technology is to compute dynamic arterial elastance (Eadyn), E a d y n = p u l s e p r e s s u r e v a r i a t i o n strokevolumevariation which reflects ventricular–arterial coupling and is indicative of vasoplegia but remains underused in translational cardiac surgery research. DESCRIPTION We developed an open-source program that computes Eadyn from any arterial pressure waveform for cardiac surgery research. The framework includes: (1) heart rate detection; (2) systolic/diastolic assignment; (3) stroke-volume estimation using the Liljestrand–Zander model; (4) calibration of derived stroke volume with echocardiography; (5) respiratory-cycle identification; (6) computation of Eadyn. EVALUATION Feasibility was evaluated in a translational large animal model. The algorithm consistently detected physiologic heart rate, pressures, and respiratory rate. Average echo-calibrated stroke volume closely matched echocardiographic measurements. Post-bypass Eadyn decreased (pre-bypass median ∼0.86 vs post-bypass median ∼0.37), consistent with vasodilatory physiology and decoupling. CONCLUSIONS This program provides a feasible method to quantify Eadyn from arterial waveforms. The device-agnostic approach enables reproducible ventricular-arterial coupling assessment for cardiac surgery research and may have future clinical applications.
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Bradshaw et al. (2026) studied Cardiac surgery (vasoplegia). Open-source computational dynamic arterial elastance (Eadyn) program vs. Pre-bypass was evaluated on Dynamic arterial elastance (Eadyn). An open-source program for computing dynamic arterial elastance detected a decrease in Eadyn from a pre-bypass median of ~0.86 to a post-bypass median of ~0.37 in a large animal model.
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