TY - GEN
T1 - A mathematical model for simulating respiratory control during support ventilation modes
AU - Larraza, Sebastian
AU - Dey, Nilanjan
AU - Karbing, Dan S.
AU - Nygaard, Morten
AU - Winding, Robert
AU - Rees, Stephen E.
N1 - Publisher Copyright:
© IFAC.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Mathematical model simulations may assist in the selection of mechanical ventilator settings. Previously, simulations have been limited to control ventilator modes, as these models lacked representation of respiratory control. This paper presents integration of a chemoreflex respiratory control model with models describing: ventilation and pulmonary gas exchange; oxygenation and acid-base status of blood; circulation; interstitial fluid and tissue buffering; and metabolism. A sensitivity analysis showed that typical response to changing ventilator settings can be described by base excess (BE), production of CO2 (VCO2), and model parameters describing central chemoreceptor behavior. Since BE and VCO2, can be routinely measured, changes in ventilator support may therefore be used to identify patient-specific chemoreceptor drive, enabling patient-specific predictions of the response to changes in mechanical ventilation.
AB - Mathematical model simulations may assist in the selection of mechanical ventilator settings. Previously, simulations have been limited to control ventilator modes, as these models lacked representation of respiratory control. This paper presents integration of a chemoreflex respiratory control model with models describing: ventilation and pulmonary gas exchange; oxygenation and acid-base status of blood; circulation; interstitial fluid and tissue buffering; and metabolism. A sensitivity analysis showed that typical response to changing ventilator settings can be described by base excess (BE), production of CO2 (VCO2), and model parameters describing central chemoreceptor behavior. Since BE and VCO2, can be routinely measured, changes in ventilator support may therefore be used to identify patient-specific chemoreceptor drive, enabling patient-specific predictions of the response to changes in mechanical ventilation.
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UR - https://www.mendeley.com/catalogue/c8eae52e-fad0-33f2-83f5-855ea1f04ab1/
U2 - 10.3182/20140824-6-za-1003.01024
DO - 10.3182/20140824-6-za-1003.01024
M3 - Conference contribution
AN - SCOPUS:84929815766
SN - 9783902823625
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 8433
EP - 8438
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
Y2 - 24 August 2014 through 29 August 2014
ER -