Observable Atrial and Ventricular Fibrillation Episode Durations Are Conformant With a Power Law Based on System Size and Spatial Synchronization.

Atrial fibrillation mechanisms termination ventricular fibrillation

Journal

Circulation. Arrhythmia and electrophysiology
ISSN: 1941-3084
Titre abrégé: Circ Arrhythm Electrophysiol
Pays: United States
ID NLM: 101474365

Informations de publication

Date de publication:
28 Jun 2024
Historique:
medline: 28 6 2024
pubmed: 28 6 2024
entrez: 28 6 2024
Statut: aheadofprint

Résumé

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]. 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 HD-grid catheter, n=42 patients), conformance with a power law was assessed using the Akaike information criterion, Bayesian information criterion, coefficient of determination (R In all computer models, the relationship between episode durations and [Formula: see text] was conformant with a power law (Aliev-Panfilov R Observable fibrillation episode durations are conformant with a power law based on system size and correlation length.

Sections du résumé

BACKGROUND UNASSIGNED
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 UNASSIGNED
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 HD-grid catheter, n=42 patients), conformance with a power law was assessed using the Akaike information criterion, Bayesian information criterion, coefficient of determination (R
RESULTS UNASSIGNED
In all computer models, the relationship between episode durations and [Formula: see text] was conformant with a power law (Aliev-Panfilov R
CONCLUSIONS UNASSIGNED
Observable fibrillation episode durations are conformant with a power law based on system size and correlation length.

Identifiants

pubmed: 38939983
doi: 10.1161/CIRCEP.123.012684
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e012684

Auteurs

Dhani 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.).
Australian Institute for Machine Learning (D.D.).

Kathryn Tiver (K)

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.).
Department of Cardiovascular Medicine, Flinders Medical Center, Adelaide (K.T., I.T., A.N.G.).

Sobhan 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.).

Evan V Jenkins (EV)

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.).

Darius 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.).

Campbell 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.).

Jing X 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.).

Ivaylo 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.).
Department of Cardiovascular Medicine, Flinders Medical Center, Adelaide (K.T., I.T., A.N.G.).

Luke O'Loughlin (L)

School of Mathematical Sciences, University of Adelaide (L.O., L.M.).

Lewis Mitchell (L)

School of Mathematical Sciences, University of Adelaide (L.O., L.M.).

Matthew Tung (M)

Department of Cardiovascular Medicine, Sunshine Coast University Hospital, Birtinya (M.T.).

Waheed Ahmad (W)

Department of Cardiovascular Medicine, Princess Alexandra Hospital, Queensland (W.A.).

Nik Stoyanov (N)

Department of Cardiology, Fiona Stanley Hospital, Perth, Western Australia, Australia (N.S.).

Martin Aguilar (M)

Department of Medicine and Research Centre, Montréal Heart Institute, Canada (M.A., S.N.).

Steven A Niederer (SA)

The National Heart and Lung Institute, Imperial College London, Alan Turing Institute (S.A.N., M.P.N.).

Caroline H Roney (CH)

School of Engineering and Material Science, Queen Mary University of London, United Kingdom (C.H.R., R.H.C.).

Martyn P Nash (MP)

The National Heart and Lung Institute, Imperial College London, Alan Turing Institute (S.A.N., M.P.N.).

Richard H Clayton (RH)

School of Engineering and Material Science, Queen Mary University of London, United Kingdom (C.H.R., R.H.C.).

Stanley Nattel (S)

Department of Medicine and Research Centre, Montréal Heart Institute, Canada (M.A., S.N.).
Auckland Bioengineering Institute, University of Auckland, New Zealand (S.N.).

Anand N Ganesan (AN)

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.).
Department of Cardiovascular Medicine, Flinders Medical Center, Adelaide (K.T., I.T., A.N.G.).

Classifications MeSH