Assessing respiratory mechanics of reverse-triggered breathing cycles-case study of two mechanically ventilated patients

Vincent Major, Simon Corbett, Daniel Redmond, Alex Beatson, Daniel Glassenbury, Yeong Shiong Chiew, Christopher Pretty, Thomas Desaive, Akos Szlavecz, Balazs Benyo, Geoffrey M. Shaw, J. Geoffrey Chase

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

5 Citations (Scopus)


Mechanical ventilation patients may breathe spontaneously during ventilator supported breaths, altering airway pressure waveforms and hindering identification of true, underlying respiratory mechanics. This study aims to assess and identify respiratory mechanics for breathing cycles masked by spontaneous breathing (SB) effort using a pressure reconstruction method. The performance of the method is compared to parameters identified using a single-compartment model. Data from two patients (N=6305 breaths) experiencing SB and subsequent periods of muscle paralysis without SB were used for analysis. Patients are their own control and are assessed by breath-to-breath variation using coefficient of variation (CV) of respiratory elastance. Pressure reconstruction successfully estimates more consistent respiratory mechanics during SB by reducing CV up to 78% compared to conventional identification (p<0.05). Pressure reconstruction is comparable (p>0.05) to conventional identification during paralysis, and generally performs better as paralysis weakens (p<0.05). Pressure reconstruction provides less-affected pressure waveforms, ameliorating the effect of SB, resulting in more accurate respiratory mechanics identification.

Original languageEnglish
Title of host publication9th IFAC Symposium on Biological and Medical Systems BMS 2015
Number of pages6
Publication statusPublished - 1 Sep 2015
Externally publishedYes
EventIFAC Symposium on Biological and Medical Systems 2015 - Berlin, Germany
Duration: 31 Aug 20152 Sep 2015
Conference number: 9th


ConferenceIFAC Symposium on Biological and Medical Systems 2015
Abbreviated titleBMS 2015


  • Decision support
  • Mechanical ventilation
  • Respiratory mechanics
  • Spontaneous breathing

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