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Design of a flow modulation device to facilitate individualized ventilation in a shared ventilator setup.

Authors :
Stiers M
Vercauteren J
Schepens T
Mergeay M
Janssen L
Hoogmartens O
Neyrinck A
Marinus BG
Sabbe M
Source :
Journal of clinical monitoring and computing [J Clin Monit Comput] 2024 Jun; Vol. 38 (3), pp. 679-690. Date of Electronic Publication: 2024 Apr 01.
Publication Year :
2024

Abstract

This study aims to resolve the unmet need for ventilator surge capacity by developing a prototype device that can alter patient-specific flow in a shared ventilator setup. The device is designed to deliver a predictable tidal volume (VT), requiring minimal additional monitoring and workload. The prototyped device was tested in an in vitro bench setup for its performance against the intended use and design criteria. The ventilation parameters: VT and airway pressures, and ventilation profiles: pressure, flow and volume were measured for different ventilator and device settings for a healthy and ARDS simulated lung pathology. We obtained VTs with a linear correlation with valve openings from 10 to 100% across set inspiratory pressures (IPs) of 20 to 30 cmH <subscript>2</subscript> O. Airway pressure varied with valve opening and lung elastance but did not exceed set IPs. Performance was consistent in both healthy and ARDS-simulated lung conditions. The ventilation profile diverged from traditional pressure-controlled profiles. We present the design a flow modulator to titrate VTs in a shared ventilator setup. Application of the flow modulator resulted in a characteristic flow profile that differs from pressure- or volume controlled ventilation. The development of the flow modulator enables further validation of the Individualized Shared Ventilation (ISV) technology with individualization of delivered VTs and the development of a clinical protocol facilitating its clinical use during a ventilator surge capacity problem.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1573-2614
Volume :
38
Issue :
3
Database :
MEDLINE
Journal :
Journal of clinical monitoring and computing
Publication Type :
Academic Journal
Accession number :
38557919
Full Text :
https://doi.org/10.1007/s10877-024-01138-1