Evaluation of vascular aging on measures of cardiac function and mechanical efficiency: insights from

aortic compliance computational model end-systolic pressure-volume relationship mechanical efficiency pressure-volume area stroke work vascular aging ventricular-vascular coupling

Journal

Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388

Informations de publication

Date de publication:
2024
Historique:
received: 06 12 2023
accepted: 23 01 2024
medline: 11 4 2024
pubmed: 11 4 2024
entrez: 11 4 2024
Statut: epublish

Résumé

This study evaluated the hypothesis that vascular aging (VA) reduces ventricular contractile function and mechanical efficiency (ME) using the left ventricular pressure-volume (PV) construct. A previously published In phase I, EDV and ESV increased, as did SW and PVA. The impact on the CS parameters demonstrated a small decrease in ESPVR, no change in The CM generated new insights regarding how the VA process impacts the contractile state of the myocardium and ME.

Identifiants

pubmed: 38601041
doi: 10.3389/fcvm.2024.1351484
pmc: PMC11004371
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1351484

Informations de copyright

© 2024 Mulligan, Thrash, Mitrev, Folk, Exarchakis, Ewert and Hill.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Lawrence J Mulligan (LJ)

Department of Anesthesiology, Cooper University Hospital, Camden, NJ, United States.
Cooper Medical School of Rowan University, Camden, NJ, United States.

Julian Thrash (J)

Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND, United States.

Ludmil Mitrev (L)

Department of Anesthesiology, Cooper University Hospital, Camden, NJ, United States.
Cooper Medical School of Rowan University, Camden, NJ, United States.

Douglas Folk (D)

Department of Integrated Engineering, Minnesota State University Mankato, MN, United States.

Alyssa Exarchakis (A)

Cooper Medical School of Rowan University, Camden, NJ, United States.

Daniel Ewert (D)

Department of Biomedical Engineering, University of North Dakota, Grand Forks, ND, United States.

Jeffrey C Hill (JC)

Department of Diagnostic Medical Sonography, School of Medical Imaging and Therapeutics, Massachusetts College of Pharmacy and Health Sciences University, Worcester, MA, United States.

Classifications MeSH