Ventricular Restitution Predicts Paroxysmal Atrial Fibrillation in Horses.

1. Huang YH, Alexeenko V, Tse G, Huang CLH, Marr CM, Jeevaratnam K. ECG restitution analysis and machine learning to detect paroxysmal atrial fibrillation: insight from the equine athlete as a model for human athletes. Function 2020.
   doi: 10.1093/function/zqaa031google scholar: lookup
2. Reef VB, Reimer JM, Spencer PA. Treatment of atrial fibrillation in horses: new perspectives.. J Vet Intern Med 1995 Mar-Apr;9(2):57-67.
   pubmed: 7760311doi: 10.1111/j.1939-1676.1995.tb03274.xgoogle scholar: lookup
3. Schaefer JR, Leussler D, Rosin L, Pittrow D, Hepp T. Improved detection of paroxysmal atrial fibrillation utilizing a software-assisted electrocardiogram approach.. PLoS One 2014;9(2):e89328.
   pmc: PMC3938451pubmed: 24586692doi: 10.1371/journal.pone.0089328google scholar: lookup
4. Franz MR. The electrical restitution curve revisited: steep or flat slope--which is better?. J Cardiovasc Electrophysiol 2003 Oct;14(10 Suppl):S140-7.
   pubmed: 14760916doi: 10.1046/j.1540.8167.90303.xgoogle scholar: lookup
5. Akar FG, Laurita KR, Rosenbaum DS. Cellular basis for dispersion of repolarization underlying reentrant arrhythmias.. J Electrocardiol 2000;33 Suppl:23-31.
   pubmed: 11265727doi: 10.1054/jelc.2000.20313google scholar: lookup
6. Nash MP, Bradley CP, Sutton PM, Clayton RH, Kallis P, Hayward MP, Paterson DJ, Taggart P. Whole heart action potential duration restitution properties in cardiac patients: a combined clinical and modelling study.. Exp Physiol 2006 Mar;91(2):339-54.
   pubmed: 16452121doi: 10.1113/expphysiol.2005.031070google scholar: lookup
7. Kowallick JT, Staab W, Schuster A, Backhaus SJ, Weber-Krüger M, Bauer L, Sohns C, Lotz J, Hasenfuß G, Lüthje L, Zabel M, Bergau L. Reverse left ventricular structural remodeling after catheter ablation of atrial fibrillation in patients with preserved left ventricular function: Insights from cardiovascular magnetic resonance native T1 mapping.. Heart Rhythm 2019 Mar;16(3):424-432.
   pubmed: 30248459doi: 10.1016/j.hrthm.2018.09.016google scholar: lookup
8. Ramírez J, van Duijvenboden S, Aung N, Laguna P, Pueyo E, Tinker A, Lambiase PD, Orini M, Munroe PB. Cardiovascular Predictive Value and Genetic Basis of Ventricular Repolarization Dynamics.. Circ Arrhythm Electrophysiol 2019 Oct;12(10):e007549.
   pubmed: 31607149doi: 10.1161/circep.119.007549google scholar: lookup
9. Attia ZI, Noseworthy PA, Lopez-Jimenez F, Asirvatham SJ, Deshmukh AJ, Gersh BJ, Carter RE, Yao X, Rabinstein AA, Erickson BJ, Kapa S, Friedman PA. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.. Lancet 2019 Sep 7;394(10201):861-867.
   pubmed: 31378392doi: 10.1016/s0140-6736(19)31721-0google scholar: lookup
10. Stergiou D, Duncan E. Atrial Fibrillation (AF) in Endurance Athletes: a Complicated Affair.. Curr Treat Options Cardiovasc Med 2018 Oct 26;20(12):98.
    pmc: PMC6209018pubmed: 30367267doi: 10.1007/s11936-018-0697-9google scholar: lookup

Citations

1. Gong Q, LE X, Yu P, Zhuang L. Therapeutic advances in atrial fibrillation based on animal models. J Zhejiang Univ Sci B 2024 Feb 15;25(2):135-152.
   doi: 10.1631/jzus.B2300285pubmed: 38303497google scholar: lookup
2. Nothstein M, Luik A, Jadidi A, Sánchez J, Unger LA, Wülfers EM, Dössel O, Seemann G, Schmitt C, Loewe A. CVAR-Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution. Front Physiol 2021;12:673047.
   doi: 10.3389/fphys.2021.673047pubmed: 34108887google scholar: lookup