Aortic Insufficiency in the Patient on Contemporary Durable Left Ventricular Assist Device Support: A State-of-the-Art Review on Preoperative and Postoperative Assessment and Management.

Aortic Insufficiency LVAD Management Surgery Survival TAVR aortic valve replacement

Journal

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
ISSN: 1557-3117
Titre abrégé: J Heart Lung Transplant
Pays: United States
ID NLM: 9102703

Informations de publication

Date de publication:
26 Jul 2024
Historique:
received: 22 05 2024
revised: 27 06 2024
accepted: 28 06 2024
medline: 29 7 2024
pubmed: 29 7 2024
entrez: 28 7 2024
Statut: aheadofprint

Résumé

The development of aortic insufficiency (AI) during HeartMate 3 durable left ventricular assist device support (dLVAD) can lead to ineffective pump output and recurrent heart failure symptoms. Progression of AI often comingles with the occurrence of other hemodynamic related events encountered during LVAD support, including right heart failure, arrhythmias, and cardiorenal syndrome. While data on AI burdens and clinical impact are still insufficient in patients on HeartMate 3 support, moderate or worse AI occurs in approximately 8% of patients by 1 year and studies suggest AI continues to progress over time and is associated with increased frequency of right heart failure. The first line intervention for AI management is prevention, undertaking surgical intervention on the insufficient valve at the time of dLVAD implant and avoiding excessive device flows and hypertension during long term support. Device speed augmentation may then be undertaken to try and overcome the insufficient lesion, but progression of AI should be anticipated over the long term. Surgical or transcatheter aortic valve interventions may be considered in dLVAD patients with significant persistent AI despite medical management, but neither intervention is without risk. It is imperative that future studies of dLVAD support capture AI in clinical endpoints using uniform assessment and grading of AI severity by individuals trained in AI assessment during dLVAD support.

Identifiants

pubmed: 39069161
pii: S1053-2498(24)01730-3
doi: 10.1016/j.healun.2024.06.018
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 International Society for the Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

Auteurs

Diyar Saeed (D)

Department of Cardiovascular Surgery, Heart Center Niederrhein, Helios Hospital Krefeld, Germany.

Jonathan Grinstein (J)

Department of Medicine, University of Chicago, Chicago, Illinois, United States.

Jamila Kremer (J)

Department of Cardiac Surgery, University Hospital Heidelberg, Germany.

Jennifer A Cowger (JA)

Department of Cardiovascular Medicine, Henry Ford Health, Detroit, Michigan, United States. Electronic address: jennifercowger@gmail.com.

Classifications MeSH