Rate Control Management of Atrial Fibrillation: May a Mathematical Model Suggest an Ideal Heart Rate?
Matteo Anselmino, Stefania Scarsoglio, Carlo Camporeale, Andrea, Saglietto, Fiorenzo Gaita, Luca Ridolfi

TL;DR
This study uses a mathematical model to simulate atrial fibrillation at various heart rates, suggesting that lower heart rates may optimize hemodynamic performance and cardiac efficiency, pending clinical validation.
Contribution
The paper introduces a novel mathematical model to predict optimal heart rate targets in atrial fibrillation, providing insights into hemodynamics and efficiency without clinical trials.
Findings
Lower HR improves hemodynamic parameters.
Reduced HR decreases oxygen consumption.
Higher HR worsens cardiac efficiency.
Abstract
Background. Despite the routine prescription of rate control therapy for atrial fibrillation (AF), clinical evidence demonstrating a heart rate target is lacking. Aim of the present study was to run a mathematical model simulating AF episodes with a different heart rate (HR) to predict hemodynamic parameters for each situation. Methods. The lumped model, representing the pumping heart together with systemic and pulmonary circuits, was run to simulate AF with HR of 50, 70, 90, 110 and 130 bpm, respectively. Results. Left ventricular pressure increased by 56.7%, from 33.92+-37.56 mmHg to 53.15+-47.56 mmHg, and mean systemic arterial pressure increased by 27.4%, from 82.66+-14.04 mmHg to 105.29+-7.63 mmHg, at the 50 and 130 bpm simulations, respectively. Stroke volume (from 77.45+-8.5 to 39.09+-8.08 mL), ejection fraction (from 61.1+-4.4 to 39.32+-5.42%) and stroke work (SW, from…
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