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Mathematical Model of Ventilation Response to Inhaled Carbon Monoxide

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Title: Mathematical Model of Ventilation Response to Inhaled Carbon Monoxide


1
Mathematical Model of Ventilation Response to
Inhaled Carbon Monoxide
Stuhmiller Stuhmiller, J Appl. Physiol. 98
2033-44 (2005)
  • Raymond Yakura
  • May 31, 2006
  • BIOEN 589

2
Uses of Model
  • Fires generate noxious gases
  • Results in increased carbon dioxide, increased
    carbon monoxide and reduced oxygen
  • Dramatic effects on ventilation which vary with
    gas composition and exposure duration

3
Model Summary
  • Dynamic Physiological Model
  • Authors used Matlab with Simulink
  • Incorporates models from many different sources
    into one integrated model
  • Sources include Duffin et al., Ursino et al.,
    Hill et al., Gomez, Roughton and Darling, Doblar
    et al.

4
Results from Publication
  • With CO acute inhalation, hyperventilation first
    results and then a subsequent ventilation
    depression
  • Hyperventilation caused by hypoxia which
    activates the peripheral chemoreceptors
  • Ventilation depression caused by generation of
    lactic acid in the brain and decreased brain
    activity

5
Publication Results
  • Buildup of carboxyhemoglobin with reduction in
    oxygen delivery to the brain leads to anaerobic
    glycolysis and buildup of lactate

6
Model Subsets
  • Metabolism
  • Oxygen metabolism, oxygen transfer to the brain,
    lactic acid generation, anaerobic limit
  • Cardiac Output
  • Blood flow to the brain increases during hypoxia
  • Circulatory System
  • Mass balance equations for O2, CO2 and CO
  • Blood Chemistry
  • Hemoglobin saturation, O2 /CO partition,
    acid-base balance, CO2 dissociation
  • Ventilation
  • Chemoreceptor response
  • Brain activity response
  • Combined ventilatory response
  • Respiration System
  • Total ventilation and effects of dead space and
    humidification

7
Model Schematic
8
JSIM model
  • JSim 1.6.62 used for this project
  • Event driven to input O2, CO2 and CO
  • Introduced memory into system to detect Lactate
    changes analogous to a D-Flip Flop in digital
    circuit design

9
JSIM Model Results - Ventilation
  • With increase in CO CO2, and decrease of O2,
    ventilation initially increased and then decreased

10
JSIM results Lactate Generation
  • Lactate generation in the brain due to increased
    anaerobic respiration due to hypoxia

11
JSIM results Brain activity
  • Brain activity decreased due to lower pressure in
    the brain capillaries

12
JSIM results Tidal volume and Breathing Frequency
  • Tidal volume increased due to CO2 increase
  • Combined f (breathing frequency) started to
    initially increase due to chemoreceptors
    activation, but decreased later on due to lower
    brain activity

13
JSIM results CO2 components
  • CO2 components
  • HCO3- is majority of the CO2
  • Carbamino and CO2 in plasma is in small amounts
    of CO2

14
Model Limitations
  • Article
  • Errors and notational changes in the article
  • Model Schematic and equations do not indicate a
    feedback loop, although the graphs implicitly
    indicate a feedback loop
  • Model in JSIM
  • Not a feedback loop
  • P_O2_Brain and O2art are separate events
  • Convergence issues due to the number of equations
    and initiation values resulting in increasing the
    error tolerance that decreases accuracy.
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