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How do changes in exhaled CO2 measure changes in cardiac output? A numerical analysis model
Objective In a previous study in anesthetized animals, the slope of percent decreases in exhaled CO 2 versus percent decreases in cardiac output ( inflation of vena cava balloons) was 0.73. To examine the mechanisms underlying this exhaled CO 2 - relationship, an iterative numerical analysis compute...
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Published in: | Journal of clinical monitoring and computing 2010-12, Vol.24 (6), p.413-419 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objective
In a previous study in anesthetized animals, the slope of percent decreases in exhaled CO
2
versus percent decreases in cardiac output (
inflation of vena cava balloons) was 0.73. To examine the mechanisms underlying this exhaled CO
2
-
relationship, an iterative numerical analysis computer model of non-steady state CO
2
kinetics was developed.
Methods
The model consisted of a large peripheral tissue compartment connected by venous return and
to a small central pulmonary compartment. Equations were developed to describe the movement of CO
2
in this system. Decreases in
were accompanied by experimentally measured increases in alveolar dead space fraction (V
d
alv
/V
t
alv
), generated by decreased pulmonary vascular pressure during the
decrease.
Results
When the model was perturbed by a 40% decrease in
and an increase in V
d
alv
/V
t
alv
from 5 to 20.6%, average alveolar expired
(
) decreased from 37.5 to 29.4 mm Hg, similar to the animal experiments. Due to the high peripheral tissue compliance for CO
2
, the computer model demonstrated that, after a decrease in
, at least 1 h was required for compartment CO
2
stores to approach a new equilibrium state.
Conclusions
The numerical analysis computer model helps to delineate the mechanisms underlying how decreased
resulted in decreased exhaled CO
2
. The model permitted deconvolution of the effects of simultaneous variables and the interrogation of parameters that would be difficult to measure in actual experiments. |
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ISSN: | 1387-1307 1573-2614 |
DOI: | 10.1007/s10877-010-9263-z |