Affiliations 

  • 1 School of Engineering, Monash University Malaysia, Selangor, Malaysia
  • 2 GIGA-In Silico Medicine, University of Liege, Liege, Belgium
  • 3 Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand
IFAC Pap OnLine, 2021;54(15):121-126.
PMID: 38620762 DOI: 10.1016/j.ifacol.2021.10.242

Abstract

Surges of COVID-19 infections could lead to insufficient supply of mechanical ventilators, and rationing of needed care. Multiplexing mechanical ventilators (co-MV) to serve multiple patients is a potential temporary solution. However, if patients are ventilated in parallel ventilation, there is currently no means to match ventilation requirements or patients, with no guidelines to date for co-MV. This research uses patient-specific clinically validated respiratory mechanics models to propose a method for patient matching and mechanical ventilator settings for two-patient co-MV under pressure control mode. The proposed method can simulate and estimate the resultant tidal volume of different combinations of co-ventilated patients. With both patients fulfilling the specified constraint under similar ventilation settings, the actual mechanical ventilator settings for co-MV are determined. This method allows clinicians to analyze in silico co-MV before clinical implementation.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.