The lung’s diffusion function
is one of the most challenging physiological indicators to grasp!!
First, we need to avoid the influence of lung ventilation,
(See details in “Evaluation of Lung Ventilation Function“)
We also need to avoid the influence of pulmonary blood flow,
(See details in “Pulmonary Hypertension” and “Pulmonary Embolism” )
Finally, we must control the oxygen-carrying capacity of red blood cells,
(See details in “The Story of Oxygen Transport and Red Blood Cells (Part 1)“
and “The Story of Oxygen Transport and Red Blood Cells (Part 2)“
This is not the end,
For a nonagenarian like the Queen of England,
assessing her lung diffusion function
is quite challenging…
Therefore,
make sure to read the directory carefully before studying!



00:51~06:01 The lung’s diffusion function is relatively difficult to measure
-
It is influenced by surrounding ventilation, blood flow, and even red blood cells
-
It has a multilayer structure, with many variations
-
Examples: Changes in lung diffusion function caused by different diseases
-
Examples: Diseases that affect ventilation and blood flow when diffusion function is impaired

-
Gas diffusion formula: analysis of independent variables
-
Why is this formula not usable in clinical environments?

09:49~11:44 Are there any obvious special manifestations in patients with poor lung gas exchange (diffusion)?
-
No! Therefore, special experiments are needed to measure
-
PaO2 / FiO2 Ratio (P/F ratio)
-
A-a gradient
-
DLCO

11:45~16:26 KJ: PaO2 / FiO2 Ratio (P/F ratio)
-
Interpretation of independent variables
-
Normal range: 300~500mmHg
-
Interpretation of intermediate values (200~300mmHg)
-
What does it mean if it is below 200mmHg?
-
Disadvantages

-
Interpretation of independent variables
-
Impact of water vapor
-
Impact of respiratory quotient
-
Advantages

21:41~33:18 Interpretation of A-a gradient
-
Normal values of A-a gradient are related to age
-
Two methods to estimate normal values
-
What should be the normal value for the Queen of England?
-
Key point: How to analyze changes in A-a gradient clinically?
-
A simple trick to analyze A-a gradient: “Put yourself in their shoes, put their lungs in their shoes”

33:19~40:03 [Radiation] Inhaling high concentrations of oxygen can cause an increase in A-a gradient ~
-
From a mathematical perspective: constants, dependent variables, independent variables
-
In actual clinical practice, the constant surprisingly becomes the independent variable!
-
In 1967, clinical evidence was found that inhaling oxygen leads to an increase in A-a gradient
-
Direct reason: The increase in PaO2 does not keep up with the increases in PAO2 and FiO2
-
Further explanation: A hypothetical explanation to ponder
-
Two analyses: one positive and one negative

40:04~41:10 Break, take a minute to rest

41:11~43:51 Is it good to use a “non-returning” gas to measure diffusion?
-
Several different gases, with varying diffusion rates
-
The most suitable representative for diffusion capacity: non-returning + a slower diffusion rate
-
Chosen gas: CO

43:52~46:42 How is DLCO measured?

46:43~47:56 [You may also be interested in…] Can the human body produce CO?!

47:57~57:18 The decrease in DLCO (“lower CO”) has stronger clinical significance
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Key point: Clinical significance of decreased DLCO
-
Can normal DLCO be a disease state?
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What could cause increased DLCO?
-
Hypothesize why DLCO decreases in chronic bronchitis and emphysema but increases in asthma?
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Trick for answering questions: D (decreased) L (lower) CO

57:19~62:08 Comparing P/F ratio, A-a gradient, DLCO
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Measurement methods
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Patient requirements
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Meaningful change directions
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Interfering factors for results: ventilation? blood flow? red blood cells?
-
Learn to flexibly apply P/F ratio, A-a gradient, and DLCO

62:09~62:33 Conclusion

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