An experimental model of chronic severe mitral regurgitation.

arrhythmias atrial fibrillation cardiac magnetic resonance imaging echocardiography large animal model mitral regurgitation translational research

Journal

JTCVS techniques
ISSN: 2666-2507
Titre abrégé: JTCVS Tech
Pays: United States
ID NLM: 101768546

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 31 12 2022
revised: 10 03 2023
accepted: 22 03 2023
medline: 9 8 2023
pubmed: 9 8 2023
entrez: 9 8 2023
Statut: epublish

Résumé

To develop a minimally invasive, reproducible model of chronic severe mitral regurgitation (MR) that replicates the clinical phenotype of left atrial (LA) and left ventricular dilation and susceptibility to atrial fibrillation. Under transesophageal echocardiographic guidance, chordae tendinae were avulsed using endovascular forceps until the ratio of regurgitant jet area to LA area was ≥70%. Animals survived for an average of 8.6 ± 1.6 months (standard deviation) and imaged with monthly transthoracic echocardiography (TTE). Animals underwent baseline and preterminal magnetic resonance imaging. Terminal studies included TTE, transesophageal echocardiography, and rapid atrial pacing to test inducibility of atrial tachyarrhythmias. Eight dogs underwent creation of severe MR and interval monitoring. Two were excluded-one died from acute heart failure, and the other had resolution of MR. Six dogs underwent the full experimental protocol; only one required medical management of clinical heart failure. MR remained severe over time, with a mean terminal regurgitant jet area to LA area of 71 ± 14% (standard deviation) and regurgitant fraction of 52 ± 11%. Mean LA volume increased over 130% (TTE: 163 ± 147%, Within the 6 dogs that successfully completed the full experimental protocol, this model replicated the clinical phenotype of severe MR, which led to marked structural and electrophysiologic cardiac remodeling. This model allowed for precise measurements at repeated time points and will facilitate future studies to elucidate the mechanisms of atrial and ventricular remodeling secondary to MR and the pathophysiology of valvular atrial fibrillation.

Identifiants

pubmed: 37555041
doi: 10.1016/j.xjtc.2023.03.027
pii: S2666-2507(23)00132-3
pmc: PMC10405169
doi:

Types de publication

Journal Article

Langues

eng

Pagination

58-70

Informations de copyright

© 2023 The Author(s).

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Auteurs

Martha M O McGilvray (MMO)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo.

Tari-Ann E Yates (TE)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo.

Lynn Pauls (L)

Division of Cardiothoracic Anesthesiology, Department of Anesthesiology, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Mo.

Meghan O Kelly (MO)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo.

Nicholas Razo (N)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.

Stacie McElligott (S)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo.

Glenn J Foster (GJ)

Center for Clinical Imaging and Research, Washington University School of Medicine, St Louis, Mo.

Jie Zheng (J)

Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo.

Jonathan K Zoller (JK)

Division of Cardiothoracic Anesthesiology, Department of Anesthesiology, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, Mo.

Christian Zemlin (C)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Mo.

Ralph J Damiano (RJ)

Division of Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St Louis, Mo.

Classifications MeSH