A novel echocardiographic parameter considering left ventricular afterload during V-A ECMO support.

cardiac power index cardiogenic shock left ventricular stroke work index speckle‐tracking echocardiography

Journal

European journal of clinical investigation
ISSN: 1365-2362
Titre abrégé: Eur J Clin Invest
Pays: England
ID NLM: 0245331

Informations de publication

Date de publication:
07 Jun 2024
Historique:
revised: 19 05 2024
received: 30 01 2024
accepted: 25 05 2024
medline: 8 6 2024
pubmed: 8 6 2024
entrez: 7 6 2024
Statut: aheadofprint

Résumé

Left ventricular stroke work index (LVSWI) and cardiac power index (CPI) account for the haemodynamic load of the left ventricle and are promising prognostic values in cardiogenic shock. However, accurately and non-invasively measuring these parameters during veno-arterial extracorporeal membrane oxygenation (V-A ECMO) is challenging and potentially biased by the extracorporeal circulation. This study aimed to investigate, in an ovine model of cardiogenic shock, whether Pressure-Strain Product (PSP), a novel speckle-tracking echocardiography parameter, (1) can correlate with pressure-volume catheter-based LVSWI and CPI, and (2) can be load-independent during the flow modification of V-A ECMO. Nine Dorset-cross ewes (51 ± 4 kg) were included. After cardiogenic shock was induced, full support V-A ECMO (X L/min based on 60 mL/kg/min) commenced. At seven time points during 24-h observation, echocardiographic parameters as well as pressure-volume catheter-based LVSWI and CPI were simultaneously measured with X and following X-1 L/min of ECMO flow. PSP was calculated by multiplying global circumferential strain or global radial strain, and mean arterial pressure, for PSPcirc or PSPrad, respectively. PSPcirc showed a stronger correlation with LVSWI (correlation coefficient, CC = .360, p < .001) and CPI (CC = .283, p < .001) than other echocardiographic parameters. The predictability of PSPcirc for pressure-volume catheter-based LVSWI (AUC .82) and CPI (AUC .80) was also higher than other echocardiographic parameters. No statistically significant differences were identified between the two ECMO flow variations in PSPcirc (p = .558). A novel echocardiographic parameter, PSP, may non-invasively predict pressure-volume catheter-based LVSWI and CPI in a load-independent manner in a cardiogenic shock supported by V-A ECMO.

Sections du résumé

BACKGROUND BACKGROUND
Left ventricular stroke work index (LVSWI) and cardiac power index (CPI) account for the haemodynamic load of the left ventricle and are promising prognostic values in cardiogenic shock. However, accurately and non-invasively measuring these parameters during veno-arterial extracorporeal membrane oxygenation (V-A ECMO) is challenging and potentially biased by the extracorporeal circulation. This study aimed to investigate, in an ovine model of cardiogenic shock, whether Pressure-Strain Product (PSP), a novel speckle-tracking echocardiography parameter, (1) can correlate with pressure-volume catheter-based LVSWI and CPI, and (2) can be load-independent during the flow modification of V-A ECMO.
METHODS METHODS
Nine Dorset-cross ewes (51 ± 4 kg) were included. After cardiogenic shock was induced, full support V-A ECMO (X L/min based on 60 mL/kg/min) commenced. At seven time points during 24-h observation, echocardiographic parameters as well as pressure-volume catheter-based LVSWI and CPI were simultaneously measured with X and following X-1 L/min of ECMO flow. PSP was calculated by multiplying global circumferential strain or global radial strain, and mean arterial pressure, for PSPcirc or PSPrad, respectively.
RESULTS RESULTS
PSPcirc showed a stronger correlation with LVSWI (correlation coefficient, CC = .360, p < .001) and CPI (CC = .283, p < .001) than other echocardiographic parameters. The predictability of PSPcirc for pressure-volume catheter-based LVSWI (AUC .82) and CPI (AUC .80) was also higher than other echocardiographic parameters. No statistically significant differences were identified between the two ECMO flow variations in PSPcirc (p = .558).
CONCLUSIONS CONCLUSIONS
A novel echocardiographic parameter, PSP, may non-invasively predict pressure-volume catheter-based LVSWI and CPI in a load-independent manner in a cardiogenic shock supported by V-A ECMO.

Identifiants

pubmed: 38849326
doi: 10.1111/eci.14263
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14263

Subventions

Organisme : Prince Charles Hospital Foundation
ID : NI2021-20
Organisme : Xenios AG

Informations de copyright

© 2024 The Author(s). European Journal of Clinical Investigation published by John Wiley & Sons Ltd on behalf of Stichting European Society for Clinical Investigation Journal Foundation.

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Auteurs

Kei Sato (K)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Silver Heinsar (S)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, Queensland, Australia.
Department of Intensive Care, North Estonia Medical Centre, Tallinn, Estonia.

Jonathan Chan (J)

Division of Cardiology, The Prince Charles Hospital, Brisbane, Queensland, Australia.
School of Medicine, Griffith University, Gold Coast, Queensland, Australia.

Samia M Farah (SM)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.

Karin Wildi (K)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Department of Intensive Care Medicine, University Hospital Basel, Basel, Switzerland.
Faculty of Medicine, University of Basel, Basel, Switzerland.

Nchafatso G Obonyo (NG)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Wellcome Trust Centre for Global Health Research, Imperial College London, London, UK.
Initiative to Develop African Research Leaders (IDeAL)/KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.

Keibun Liu (K)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Carmen Ainola (C)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Noriko Sato (N)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.

Gabriella Abbate (G)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Emily S Wilson (ES)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Mahé Bouquet (M)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Kieran Hyslop (K)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Margaret R Passmore (MR)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Shinichi Ijuin (S)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Department of Emergency and Critical Care Medicine, Hyogo Emergency Medical Center, Kobe, Japan.

Sun Kyun Ro (SK)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Department of Thoracic and Cardiovascular Surgery, Hanyang University Guri Hospital, Hanyang University College of Medicine, Seoul, Republic of Korea.

Gabriele Fior (G)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Lucia Gandini (L)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.

Brooke Lundon (B)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.

David G Platts (DG)

Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Division of Cardiology, The Prince Charles Hospital, Brisbane, Queensland, Australia.

Jacky Y Suen (JY)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, Queensland, Australia.

Gianluigi Li Bassi (GL)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, Queensland, Australia.

John F Fraser (JF)

Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia.
Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia.
Intensive Care Unit, St. Andrews War Memorial Hospital, Brisbane, Queensland, Australia.

Classifications MeSH