Your browser doesn't support javascript.
loading
Estimation of Left Ventricular Stroke Work for Rotary Left Ventricular Assist Devices.
Wu, Eric L; Maw, Martin; Stephens, Andrew F; Stevens, Michael C; Fraser, John F; Tansley, Geoffrey; Moscato, Francesco; Gregory, Shaun D.
Afiliação
  • Wu EL; From the Innovative Cardiovascular Engineering and Technology Laboratory (ICETLAB), Critical Care Research Group, The Prince Charles Hospital, Chermside, Queensland, Australia.
  • Maw M; School of Medicine, The University of Queensland, Queensland, Brisbane, Australia.
  • Stephens AF; Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
  • Stevens MC; Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, Australia.
  • Fraser JF; Cardio-Respiratory Engineering and Technology Laboratory, Baker Heart and Diabetes Institute, Alfred Hospital, Melbourne, Australia.
  • Tansley G; From the Innovative Cardiovascular Engineering and Technology Laboratory (ICETLAB), Critical Care Research Group, The Prince Charles Hospital, Chermside, Queensland, Australia.
  • Moscato F; Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, New South Wales, Australia.
  • Gregory SD; From the Innovative Cardiovascular Engineering and Technology Laboratory (ICETLAB), Critical Care Research Group, The Prince Charles Hospital, Chermside, Queensland, Australia.
ASAIO J ; 69(9): 817-826, 2023 09 01.
Article em En | MEDLINE | ID: mdl-37191479
ABSTRACT
Continuous monitoring of left ventricular stroke work (LVSW) may improve the medical management of patients with rotary left ventricular assist devices (LVAD). However, implantable pressure-volume sensors are limited by measurement drift and hemocompatibility. Instead, estimator algorithms derived from rotary LVAD signals may be a suitable alternative. An LVSW estimator algorithm was developed and evaluated in a range of in vitro and ex vivo cardiovascular conditions during full assist (closed aortic valve [AoV]) and partial assist (opening AoV) mode. For full assist, the LVSW estimator algorithm was based on LVAD flow, speed, and pump pressure head, whereas for partial assist, the LVSW estimator combined the full assist algorithm with an estimate of AoV flow. During full assist, the LVSW estimator demonstrated a good fit in vitro and ex vivo (R 2 0.97 and 0.86, respectively) with errors of ± 0.07 J. However, LVSW estimator performance was reduced during partial assist, with in vitro R 2 0.88 and an error of ± 0.16 J and ex vivo R 2 0.48 with errors of ± 0.11 J. Further investigations are required to improve the LVSW estimate with partial assist; however, this study demonstrated promising results for a continuous estimate of LVSW for rotary LVADs.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coração Auxiliar / Acidente Vascular Cerebral Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coração Auxiliar / Acidente Vascular Cerebral Idioma: En Ano de publicação: 2023 Tipo de documento: Article