Model-based estimation of Frank-Starling curves at the patient bedside

End-diastolic volume; Frank-Starling curves; Hemodynamic monitoring; Intensive care unit; Preload; Stroke volume; Hemodynamics; Mammals; Patient treatment; Circulatory failure; End-diastolic; Frank-starling curve; Haemodynamics; Left ventricles; Model-based estimation; Pre loads; Stroke volumes; Intensive care units

Abstract :

[en] Determining physiological mechanisms contributing to circulatory failure can be challenging, contributing to the difficulties of delivering effective hemodynamic management in critical care. Measured or estimated Frank-Starling curves could potentially make it much easier to assess patient response to interventions, and thus to manage circulatory failure. This study combines non-additionally invasive model-based methods to estimate left ventricle end-diastolic volume (LEDV) and stroke volume (SV) during hemodynamic interventions in a pig trial. Frank-Starling curves are created using these metrics and Frank-Starling contractility (FSC) is identified as the gradient. Bland-Altman median bias [limits of agreement (2.5th, 97.5th percentile)] are 0.14[-0.56, 0.57] for model-based FSC agreement with measured reference method FSC using admittance catheter LEDV and aortic flow probe SV. This study provides proof-of-concept Frank-Starling curves could be non-additionally invasively estimated clinically for critically ill patients to provide clearer insight into cardiovascular function than is currently possible. © 2021 The Authors.

Disciplines :

Anesthesia & intensive care

Author, co-author :

Smith, R.; Department of Mechanical Engineering, University of Canterbury, New Zealand

Geoffrey Chase, J.; Department of Mechanical Engineering, University of Canterbury, New Zealand

Pretty, C.G.; Department of Mechanical Engineering, University of Canterbury, New Zealand

Davidson, S.; Institute of Biomedical Engineering, University of Oxford, United Kingdom

Shaw, G.M.; Christchurch Hospital Intensive Care Unit, New Zealand

Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles

Language :

English

Title :

Model-based estimation of Frank-Starling curves at the patient bedside

Publication date :

2021

Event name :

11th IFAC Symposium on Biological and Medical Systems BMS 2021

Event date :

19 September 2021 through 22 September 2021

By request :

Yes

Audience :

International

Journal title :

IFAC-PapersOnLine

ISSN :

2405-8971

eISSN :

2405-8963

Publisher :

Elsevier

Volume :

Issue :

Pages :

287 - 292

Peer review/Selection committee :

Peer Reviewed verified by ORBi

Funding text :

This study was supported with funding from the University of Canterbury Doctoral Scholarship.

Available on ORBi :

since 08 July 2025

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