eLFH - Preoxygenation and 'e' Flashcards
How is alveolar ventilation usually modelled
As a continuous process rather than the tidal nature of alveolar ventilation
Therefore made into an approximation as it is treated as continuous flow
Assumptions made with preoxygenation to predict FAO2 with fall in FAN2
Oxygen replaces Nitrogen molecule for molecule i.e Rise in FAO2 is equal to fall in FAN2
Preoxygenation is perfect with no leak
Tidal ventilation can be approximated with continuous flow
Ignore marginal impact of tissue stores of nitrogen
Table highlighting ratio of de-nitrogenation with FAN2 and FAO2 as number of breaths in given time period increases
Formula for proportional dilution for given time period with n as number of breaths
Proportional dilution = (n/n+1)^n
Why is time period of 30 seconds used for this modelling
It is the time constant (flashcard later on this)
As using values of FRC = 2L and alveolar ventilation 4L/min
Therefore in 30 seconds, FRC and alveolar ventilation are both 2L so the flow matches the container volume for this time period
Time period chosen should reflect the flow required to fill the container being used
What happens as number of breaths per cycle ‘n’ increases
Proportional dilution increases at a decreasing exponential to a plateau
As n tends to infinity, the value reaches the limit
e definition
Constant denoting the limit of (n+1/n)^n as n tends to infinity
n+1 > n, therefore e is >1
e value
2.71828
Limit for proportional dilution in preoxygenation
Proportional dilution with breaths = (n/n+1)^n
e is limit for equation y = (n+1/n)^n
Therefore limit for proportional dilution with breaths in cycle = 1/e
= e^-1
= 0.3678
Therefore with each cycle (30 seconds) FAN2 falls to 37% of value at start of previous cycle
Value for e^-1
0.3678
Assumption made when using e^-1 for dilutional proportion
Continuous rather than tidal flow
Error margin when assuming continuous rather than tidal flow of alveolar ventilation
Eg. 6 breaths per cycle
(6/7)^6 = 0.3965
1/e = 0.3678
Low margin of error therefore acceptable to approximate with 1/e
How long (with assumptions and measurements made thus far) will it take to achieve goal of FAO2 of 0.95
Starting values: FAN2 0.8, FAO2 0.15, FACO2 0.05
FACO2 will remain at 0.05
After first 30s FAN2 = 0.8 x 0.37 = 0.29
(FAO2 therefore = 0.15 + (0.8 - 0.29) = 0.65
After second 30s FAN2 = 0.29 x 0.37 = 0.11
(FAO2 therefore = 0.7 + (0.29 - 0.11) = 0.84
After third 30s FAN2 = 0.11 x 0.37 = 0.04
(FAO2 therefore = 0.89 + (0.11 - 0.04) = 0.91
After fourth 30s FAN2 = 0.04 x 0.37 = 0.01
(FAO2 therefore = 0.91 + (0.04 - 0.01) = 0.94
So would take 2 mins with all the assumptions made
Equation for simple exponential wash out process
y = value of substance in question after wash out for period of time
(in these examples y = FAN2)
A = starting value prior to wash out (eg 0.8)
t = time period being studied (usually in minutes)
k = rate constant in a time dependent process
Here k = 2 as 2 cycles of 30 seconds occurs per 1 minute unit time
Equation for standard exponential wash in process