title: Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties.
abstract: Computer studies are often used to study mechanisms of cardiac arrhythmias, including atrial fibrillation (AF). A crucial component in these studies is the electrophysiological model that describes the membrane potential of myocytes. The models vary from detailed, describing numerous ion channels, to simplified, grouping ionic channels into a minimal set of variables. The parameters of these models, however, are determined across different experiments in varied species. Furthermore, a single set of parameters may not describe variations across patients, and models have rarely been shown to recapitulate critical features of AF in a given patient. In this study we develop physiologically accurate computational human atrial models by fitting parameters of a detailed and of a simplified model to clinical data for five patients undergoing ablation therapy. Parameters were simultaneously fitted to action potential (AP) morphology, action potential duration (APD) restitution and conduction velocity (CV) restitution curves in these patients. For both models, our fitting procedure generated parameter sets that accurately reproduced clinical data, but differed markedly from published sets and between patients, emphasizing the need for patient-specific adjustment. Both models produced two-dimensional spiral wave dynamics for that were similar for each patient. These results show that simplified, computationally efficient models are an attractive choice for simulations of human atrial electrophysiology in spatially extended domains. This study motivates the development and validation of patient-specific model-based mechanistic studies to target therapy.
authors: Department of Physics, University of California, San Diego, La Jolla, California, United States of America.
authors: Daniel M
authors: 0000-0001-8268-3949
authors: DM
authors: Lombardo
authors: School of Physics, Georgia Tech University, Atlanta, Georgia, United States of America.
authors: Flavio H
authors: FH
authors: Fenton
authors: Department of Medicine, Stanford University, Palo Alto, California, United States of America.
authors: Sanjiv M
authors: SM
authors: Narayan
authors: Department of Physics, University of California, San Diego, La Jolla, California, United States of America.
authors: Wouter-Jan
authors: WJ
authors: Rappel
mesh_terms: D000368:Aged; D001281:Atrial Fibrillation / Q000503:physiopathology*; D003198:Computer Simulation; D006325:Heart Atria / Q000166:cytology*; D006801:Humans; D008875:Middle Aged; D008955:Models, Cardiovascular; D032383:Myocytes, Cardiac / Q000502:physiology*; D057285:Precision Medicine