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Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization.
Dharmaprani, Dhani; Tiver, Kathryn; Salari Shahrbabaki, Sobhan; Jenkins, Evan V; Chapman, Darius; Strong, Campbell; Quah, Jing X; Tonchev, Ivaylo; O'Loughlin, Luke; Mitchell, Lewis; Tung, Matthew; Ahmad, Waheed; Stoyanov, Nik; Aguilar, Martin; Niederer, Steven A; Roney, Caroline H; Nash, Martyn P; Clayton, Richard H; Nattel, Stanley; Ganesan, Anand N.
Afiliación
  • Dharmaprani D; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Tiver K; Australian Institute for Machine Learning (D.D.).
  • Salari Shahrbabaki S; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Jenkins EV; Department of Cardiovascular Medicine, Flinders Medical Center, Adelaide (K.T., I.T., A.N.G.).
  • Chapman D; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Strong C; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Quah JX; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Tonchev I; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • O'Loughlin L; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Mitchell L; College of Medicine and Public Health, Flinders University (D.D., K.T., S.S.S., E.V.J., D.C., C.S., J.X.Q., I.T., A.N.G.).
  • Tung M; Department of Cardiovascular Medicine, Flinders Medical Center, Adelaide (K.T., I.T., A.N.G.).
  • Ahmad W; Australian Institute for Machine Learning (D.D.).
  • Stoyanov N; Australian Institute for Machine Learning (D.D.).
  • Aguilar M; Department of Cardiovascular Medicine, Sunshine Coast University Hospital, Birtinya (M.T.).
  • Niederer SA; Department of Cardiovascular Medicine, Princess Alexandra Hospital, Queensland (W.A.).
  • Roney CH; Department of Cardiology, Fiona Stanley Hospital, Perth, Western Australia, Australia (N.S.).
  • Nash MP; Department of Medicine and Research Centre, Montréal Heart Institute, Canada (M.A., S.N.).
  • Clayton RH; The National Heart and Lung Institute, Imperial College London, Alan Turing Institute (S.A.N.).
  • Nattel S; School of Engineering and Material Science, Queen Mary University of London, United Kingdom (C.H.R.).
  • Ganesan AN; Auckland Bioengineering Institute, University of Auckland, New Zealand (M.P.N.).
Circ Arrhythm Electrophysiol ; 17(7): e012684, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38939983
ABSTRACT

BACKGROUND:

Atrial fibrillation (AF) and ventricular fibrillation (VF) episodes exhibit varying durations, with some spontaneously ending quickly while others persist. A quantitative framework to explain episode durations remains elusive. We hypothesized that observable self-terminating AF and VF episode lengths, whereby durations are known, would conform with a power law based on the ratio of system size and correlation length ([Formula see text].

METHODS:

Using data from computer simulations (2-dimensional sheet and 3-dimensional left-atrial), human ischemic VF recordings (256-electrode sock, n=12 patients), and human AF recordings (64-electrode basket-catheter, n=9 patients; 16-electrode high definition-grid catheter, n=42 patients), conformance with a power law was assessed using the Akaike information criterion, Bayesian information criterion, coefficient of determination (R2, significance=P<0.05) and maximum likelihood estimation. We analyzed fibrillatory episode durations and [Formula see text], computed by taking the ratio between system size ([Formula see text], chamber/simulation size) and correlation length (xi, estimated from pairwise correlation coefficients over electrode/node distance).

RESULTS:

In all computer models, the relationship between episode durations and [Formula see text] was conformant with a power law (Aliev-Panfilov R2 0.90, P<0.001; Courtemanche R2 0.91, P<0.001; Luo-Rudy R2 0.61, P<0.001). Observable clinical AF/VF durations were also conformant with a power law relationship (VF R2 0.86, P<0.001; AF basket R2 0.91, P<0.001; AF grid R2 0.92, P<0.001). [Formula see text] also differentiated between self-terminating and sustained episodes of AF and VF (P<0.001; all systems), as well as paroxysmal versus persistent AF (P<0.001). In comparison, other electrogram metrics showed no statistically significant differences (dominant frequency, Shannon Entropy, mean voltage, peak-peak voltage; P>0.05).

CONCLUSIONS:

Observable fibrillation episode durations are conformant with a power law based on system size and correlation length.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Fibrilación Ventricular Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Circ Arrhythm Electrophysiol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Fibrilación Ventricular Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Circ Arrhythm Electrophysiol Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA Año: 2024 Tipo del documento: Article