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Research ArticleOriginal Research

Parameters for Simulation of Adult Subjects During Mechanical Ventilation

Jean-Michel Arnal, Aude Garnero, Mathieu Saoli and Robert L Chatburn
Respiratory Care February 2018, 63 (2) 158-168; DOI: https://doi.org/10.4187/respcare.05775
Jean-Michel Arnal
Service de Réanimation Polyvalente, Hôpital Sainte Musse, Toulon, France.Department of Medical Research, Hamilton Medical, Bonaduz, Switzerland.
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  • For correspondence: jean-michel@arnal.org
Aude Garnero
Service de Réanimation Polyvalente, Hôpital Sainte Musse, Toulon, France.
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Mathieu Saoli
Service de Réanimation Polyvalente, Hôpital Sainte Musse, Toulon, France.
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Robert L Chatburn
Department of Medicine, Lerner College of Medicine and Respiratory Institute, Cleveland Clinic, Cleveland, Ohio.
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Abstract

BACKGROUND: Simulation studies are often used to examine ventilator performance. However, there are no standards for selecting simulation parameters. This study collected data in passively-ventilated adult human subjects and summarized the results as a set of parameters that can be used for simulation studies of intubated, passive, adult subjects with normal lungs, COPD, or ARDS.

METHODS: Consecutive adult patients admitted to the ICU were included if they were deeply sedated and mechanically ventilated for <48 h without any spontaneous breathing activity. Subjects were classified as having normal lungs, COPD, or ARDS. Respiratory mechanics variables were collected once per subject. Static compliance was calculated as the ratio between tidal volume and driving pressure. Inspiratory resistance was measured by the least-squares fitting method. The expiratory time constant was estimated by the tidal volume/flow ratio.

RESULTS: Of the 359 subjects included, 138 were classified as having normal lungs, 181 as ARDS, and 40 as COPD. Median (interquartile range) static compliance was significantly lower in ARDS subjects as compared with normal lung and COPD subjects (39 [32–50] mL/cm H2O vs 54 [44–64] and 59 [43–75] mL/cm H2O, respectively, P < .001). Inspiratory resistance was significantly higher in COPD subjects as compared with normal lung and ARDS subjects (22 [16–33] cm H2O/L/s vs 13 [10–15] and 12 [9–14] cm H2O/L/s, respectively, P < .001). The expiratory time constant was significantly different for each lung condition (0.60 [0.51–0.71], 1.07 [0.68–2.14], and 0.46 [0.40–0.55] s for normal lung, COPD, and ARDS subjects, respectively, P < .001). In the subgroup of subjects with ARDS, there were no significant differences in respiratory mechanics variables among mild, moderate, and severe ARDS.

CONCLUSIONS: This study provides educators, researchers, and manufacturers with a standard set of practical parameters for simulating the respiratory system's mechanical properties in passive conditions.

  • medical simulation
  • critical care
  • artificial respiration
  • respiratory mechanics
  • ARDS
  • COPD
  • lung compliance
  • airway resistance

Footnotes

  • Correspondence: Jean-Michel Arnal MD, Service de Réanimation Polyvalente, Hôpital Sainte Musse, 54 Avenue Henri Sainte Claire Deville, 3056 Toulon, France. E-mail: jean-michel{at}arnal.org.
  • Dr Arnal has disclosed a relationship with Hamilton Medical AG. Mr Chatburn has disclosed relationships with CareFusion, Covidien, Dräger, Hamilton, IngMar Medical, Inogen, Invacare, Philips, ResMed, Neotech, and Breathe Technologies. The other authors have disclosed no conflicts of interest.

  • Mr Saoli presented a version of this work at the Congrès Réanimation, held January 11–13, 2017, in Paris, France.

  • Copyright © 2018 by Daedalus Enterprises
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Respiratory Care: 63 (2)
Respiratory Care
Vol. 63, Issue 2
1 Feb 2018
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Parameters for Simulation of Adult Subjects During Mechanical Ventilation
Jean-Michel Arnal, Aude Garnero, Mathieu Saoli, Robert L Chatburn
Respiratory Care Feb 2018, 63 (2) 158-168; DOI: 10.4187/respcare.05775

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Parameters for Simulation of Adult Subjects During Mechanical Ventilation
Jean-Michel Arnal, Aude Garnero, Mathieu Saoli, Robert L Chatburn
Respiratory Care Feb 2018, 63 (2) 158-168; DOI: 10.4187/respcare.05775
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Keywords

  • medical simulation
  • critical care
  • artificial respiration
  • respiratory mechanics
  • ARDS
  • COPD
  • lung compliance
  • airway resistance

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