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Development of an automated closed-loop β-blocker delivery system to stably reduce myocardial oxygen consumption without inducing circulatory collapse in a canine heart failure model: a proof of concept study.
- Source :
-
Journal of clinical monitoring and computing [J Clin Monit Comput] 2022 Jun; Vol. 36 (3), pp. 849-860. Date of Electronic Publication: 2021 May 10. - Publication Year :
- 2022
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Abstract
- Beta-blockers are well known to reduce myocardial oxygen consumption (MVO <subscript>2</subscript> ) and improve the prognosis of heart failure (HF) patients. However, its negative chronotropic and inotropic effects limit their use in the acute phase of HF due to the risk of circulatory collapse. In this study, as a first step for a safe β-blocker administration strategy, we aimed to develop and evaluate the feasibility of an automated β-blocker administration system. We developed a system to monitor arterial pressure (AP), left atrial pressure (P <subscript>LA</subscript> ), right atrial pressure, and cardiac output. Using negative feedback of hemodynamics, the system controls AP and P <subscript>LA</subscript> by administering landiolol (an ultra-short-acting β-blocker), dextran, and furosemide. We applied the system for 60 min to 6 mongrel dogs with rapid pacing-induced HF. In all dogs, the system automatically adjusted the doses of the drugs. Mean AP and mean P <subscript>LA</subscript> were controlled within the acceptable ranges (AP within 5 mmHg below target; P <subscript>LA</subscript> within 2 mmHg above target) more than 95% of the time. Median absolute performance error was small for AP [median (interquartile range), 3.1% (2.2-3.8)] and P <subscript>LA</subscript> [3.6% (2.2-5.7)]. The system decreased MVO <subscript>2</subscript> and P <subscript>LA</subscript> significantly. We demonstrated the feasibility of an automated β-blocker administration system in a canine model of acute HF. The system controlled AP and P <subscript>LA</subscript> to avoid circulatory collapse, and reduced MVO <subscript>2</subscript> significantly. As the system can help the management of patients with HF, further validations in larger samples and development for clinical applications are warranted.<br /> (© 2021. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1573-2614
- Volume :
- 36
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of clinical monitoring and computing
- Publication Type :
- Academic Journal
- Accession number :
- 33969457
- Full Text :
- https://doi.org/10.1007/s10877-021-00717-w