Research ArticleConference Proceedings

Facing the Noise: Addressing the Endemic Variability in DLCO Testing

Meredith C McCormack
Respiratory Care January 2012, 57 (1) 17-25; DOI: https://doi.org/10.4187/respcare.01435

Abstract

Single-breath diffusing capacity of the lung for carbon monoxide (DLCO) is a common pulmonary function test that measures the ability of the lung to exchange gas across the alveolar-capillary interface. DLCO testing is used to narrow the differential diagnosis of obstructive and restrictive lung disease, to aid in disability and transplant assessment, and to monitor medication toxicity. The variability in the measurement limits the utility of the test. Variability is attributable to differences in equipment, testing conditions, patient factors, and reference equations. Laboratories can minimize variability by ensuring that equipment meets recommended standards, implementing effective quality control programs, standardizing testing conditions and testing procedures, and accounting for pertinent patient characteristics.

Introduction

Single-breath diffusing capacity of the lung for carbon monoxide (DLCO), also referred to as the carbon monoxide transfer factor (TLCO), measures the ability of the lung to transfer gases across the alveolar-capillary interface. This is the only pulmonary function test that does not measure lung mechanics. The DLCO measurement reflects features of the resident alveolar gas, cell membranes, cytoplasm, and hemoglobin binding, and is highly dependent on pulmonary blood volume.

The DLCO is calculated using the following fundamental equation:

DLCO=V˙CO/(PACO−PCCO)

Where V̇CO is the rate of disappearance of CO, PACO is the average partial pressure of CO in alveoli, and PCCO is the average partial pressure of CO in the pulmonary capillary plasma. As carbon monoxide (CO) has a high affinity for binding to hemoglobin and is present in very low concentrations in the plasma, PCCO is essentially zero and the final equation is:

DLCO=V˙CO/PACO

The DLCO is highly dependent on both the properties of the alveolar-capillary interface and pulmonary capillary blood volume. Conceptually, this is demonstrated by 2 conductance properties: membrane conductivity (DM), which reflects the diffusion properties of the alveolar-capillary interface, and the binding of carbon monoxide (CO) and hemoglobin (Hb). The carboxyhemoglobin (COHb) binding can be represented as the product of the CO-Hb chemical reaction rate (θ) and the blood volume in the alveolar capillaries (Vc). As the conductances are in series, the properties are related by:

1/DLCO=(1/DM)+(1/θVc)

Indications for DLCO Testing

DLCO is used clinically to narrow the differential diagnosis in both restrictive and obstructive lung diseases. It can be important in the evaluation of transplant candidacy and disability assessment. DLCO is also used to assess for medication toxicity and to follow the course of diseases, such as interstitial lung disease and COPD, over time. DLCO measurements have been linked to the likelihood of requiring oxygen at rest and with activity across a variety of disease states1–9 and have been shown to have prognostic value.10,11

Accuracy and reproducibility of the test are important features, especially considering the broad application of DLCO testing in the initial and ongoing assessment of lung disease. High variability, both within and between laboratories, has been a limitation of DLCO testing. Sources of variability include equipment, software, test gases, reference equations, testing procedures, and atmospheric conditions. Patient characteristics are also a source of variability. One goal of an effective quality control program is to limit this variability by optimizing accuracy and reproducibility.

Testing Procedures

The single-breath DLCO maneuver is relatively simple. After a short period of tidal breathing, the patient inhales a vital capacity breath of test gas containing a small known concentration of CO and a known concentration of tracer gas, such as helium, methane, or neon (Fig. 1).

Fig. 1.
Fig. 1.

A schematic representation of the diffusing capacity of the lung for carbon monoxide (DLCO) maneuver, depicting the gas concentrations over time. The sampling period occurs between the 2 vertical dashed lines after the dead-space washout. (From Reference 12, with permission.)

According to the American Thoracic Society/European Respiratory Society (ATS/ERS),12 several criteria must be met for a test to be considered acceptable. The breath-hold time must be between 8 and 12 seconds, without evidence of leaks, Valsalva, or Müller maneuvers; the inspired volume must be greater than 85% of the largest vital capacity; the inspiration and expiration must each occur in less than 4 seconds and must be reached within 4 seconds. The sample collection time should be less than 3 seconds, with appropriate clearance of dead-space volume. Failure to meet any of these criteria (Fig. 2) has the potential to greatly impact test results. For example, taking a submaximal inspiration will result in an underestimation of the DLCO, due to a smaller measured alveolar volume and also due to lack of recruitment. An inadequate breath-hold time will also underestimate DLCO, while a leak in the system can result in an overestimation of the DLCO.

Fig. 2.
Fig. 2.

Common potential sources of error that can occur with the diffusing capacity of the lung for carbon monoxide (DLCO) maneuver. These include a stepwise inhalation or exhalation, a leak in the system, and an exhaled volume that exceeds the inhaled volume. (Adapted from Reference 12, with permission.)

The number of tests can influence results, as circulating COHb increases slightly with each trial. COHb reduces DLCO by increasing CO back pressure and by decreasing the available hemoglobin binding sites for CO binding. On average, 5 tests will increase CoHb by 3.5% and thereby decrease measured DLCO by 3–3.5%.12 For this reason, it is recommended that no more than 5 tests be performed in a single session, with a minimum of 4 minutes between tests to eliminate the tracer gas. Longer intervals should be considered in those with obstructive lung disease and slower emptying times.

To meet repeatability criteria, the test should be within 3 mL CO (standard temperature and pressure, dry [STPD])/min/mm Hg of each other or within 10% of the highest value.12 The average of at least 2 acceptable tests (of the maximum of 5) that meet these criteria are then reported. These repeatability criteria are highly feasible to achieve. In a large university-based study, over 98% of tests met the current repeatability criteria. The percentage difference between the 2 tests was inversely related to the baseline DLCO and FEV1 while the absolute difference between repeat measurements was relatively stable, irrespective of the baseline values. These and other investigators have proposed a more stringent criteria, with the use of an absolute difference of 2–2.5 mL CO (STPD)/min/mm Hg).13,14

Equipment

Equipment is a source of variability between labs. In studies comparing 5 commercially available pulmonary function testing systems, there was substantial variability in the accuracy of the systems between manufacturers, with mean absolute accuracy in DLCO ranging from 1 to 4.0 mL CO/min/mm Hg, and a cumulative change in the percentage of accuracy as high as 20% over a 90-day period.15,16 In a study comparing patient versus instrument influence on variability by comparing maneuvers performed by biologic controls to those performed with a DLCO simulator (Hans Rudolph, Shawnee, Kansas), instruments accounted for most of the observed variability (between 36% and 70%).16

The ATS/ERS statement on DLCO testing outlines equipment specifications (Table 1).12 Failure to meet these specifications introduces potential for inaccuracy. These include a volume accuracy within ±3% over an 8 L volume of test gases and gas analyzer linearity within ±0.5% of full scale, with stability over the duration of the test such that drift is less than ±0.5% of the measured gas. Circuit resistance should be less than 1.5 cm H2O/L/s at 6 L/s flow. If a compressed gas source with a demand-flow regulator is used, the maximal inspiratory pressure through the circuit and valve should be less than 10 cm H2O. The timing device should be accurate to within ±1.0%. The dead-space volume for the inspired gas and the alveolar sample should be known, and the dead space for the valve, filter, and mouthpiece should be less than 0.35 L for adult testing.

View this table:
Table 1.

Equipment Specifications for DLCO Testing12

Each requirement is important. As the DLCO measurement relies on measurement of relative proportions of 2 or more gases, errors in gas analyzers have historically been an important source of variability in DLCO measurement.17,18 The advent of newer real-time gas analyzers has made it possible to measure smaller volumes of gas with faster response times. The graphical display enables evaluation of the tracer gas and CO concentrations throughout the testing period, with the opportunity to assess adequacy of dead-space clearances by visual inspection. In a study that compared visual inspection to applying a set washout volume of 750 mL, visual inspection increased DLCO values by an average of 4% and improved reproducibility from 89% to 94%. Thus, even though this approach is more labor-intensive and requires skill and training, visual inspection of gas tracings may improve reproducibility of DLCO and may be especially beneficial in patients with low lung volumes.12,19

Atmospheric Conditions

The barometric pressure and temperature are both important considerations in DLCO testing. While it is important for barometric pressure to be accurate on average, changes in temperature are more likely to influence DLCO results. Each 1°C of error in temperature introduces 0.67% error in the DLCO.20 Thereby, temperature variations of 10°C that can occur during the course of a day can introduce almost 7% error in the measurement. Thus, accuracy of temperature measurement and frequency of measurements throughout the day are important to reduce error in the DLCO measurement. Exhaled breath contains CO2 and H2O, which is removed in some systems to avoid interference with gas analyzer function. A common source of error is failure to exchange these chemical scrubbers after they have been exhausted. In these instances, the concentrations of CO and tracer gas will be altered, potentially influencing both the alveolar volume measurement and the gas transfer coefficient.

Quality Control Programs

Quality control programs are necessary to ensure that equipment continues to meet specifications over time, and more rigorous quality control programs have been shown to decrease inter-session variability of DLCO testing.21 Despite this, most laboratories have not implemented quality control programs. Equipment quality control recommendations include zeroing the gas analyzer prior to each test, daily assessment of volume accuracy, weekly biologic control or simulator testing, and assessment of the timer and gas analyzer linearity every 3 months. In survey of 73 United States pulmonary function laboratories, 26% reported that they never performed biologic control testing, and 37% reported that they never checked the volume accuracy of DLCO equipment.22

Records of equipment checks and biologic control or simulator testing should be maintained and results plotted over time. A Levey-Jennings chart can be used to graphically display the DLCO values obtained from the biologic control or simulator (Fig. 3). The date and time of testing are plotted on the x axis, data with the DLCO values on the y axis, and horizontal lines delineate 1, 2, and 3 standard deviations from the mean. Westgard's rules can then be applied to determine “out-of-control conditions” that should prompt quality assurance responses, such as appropriate repair or replacement of equipment.23,24 A simulator that uses precision mixed gases to simulate volumes and gas concentrations that would be measured from a human subject is now commercially available. A study using the DLCO simulator investigated accuracy and precision of DLCO systems and found as much as a 20% change in accuracy over time, translating to a change of about 4 mL/min/mm Hg in a person with an initial DLCO of 20 mL/min/mm Hg.15 Implementation of the weekly or biweekly simulator testing has been shown to improve accuracy of DLCO equipment and to allow maintenance of accuracy over time in the setting of clinical trials.23 The features of a quality control program are somewhat dependent on the size, staffing, and resources of the laboratory, but should be designed to at least meet the minimum standards outlined in the guidelines.12,24

Fig. 3.
Fig. 3.

A Levey-Jennings plot demonstrating DLCO values obtained from a biologic control. Time is represented on the x axis, and DLCO values are displayed on the y axis. The final data point on the far right exceeds 2 standard deviations above the mean. This is considered a “warning” condition that may indicate a problem with the system that warrants investigation. Mean = 18.99. SD = 0.76. Coefficient of variation = 4%.

Patient Factors That Influence DLCO

Tables 2 and 3 show patient factors that influence DLCO.

View this table:
Table 2.

Patient Characteristics That Cause Low DLCO

View this table:
Table 3.

Patient Factors That Cause Elevated DLCO

Disease State

DLCO is typically performed to determine the influence of disease on resultant values. DLCO is decreased in some obstructive lung diseases, such as emphysema, and in restrictive lung diseases, such as pulmonary fibrosis, sarcoidosis, and pneumoconiosis. Pulmonary vascular disease, such as pulmonary hypertension and pulmonary embolism, will also decrease DLCO, and this may manifest as an isolated DLCO abnormality. Increases in DLCO are seen with obesity, pulmonary hemorrhage, and left-to-right shunt.25 A normal to increased DLCO occurs in asthma, obesity, and after surgical resection, as these all increase (relative) capillary blood flow. Anemia decreases measured DLCO, and adjustments should be made for patients with anemia. Variation in DLCO has been described in relation to the menstrual cycle in female patients,26 and diurnal variation also occurs.27

Test Performance

In addition to the diseases that influence DLCO, other patient characteristics can influence test results. Patients are typically tested in the seated position, using nose clips and a mouthpiece. Patients who have recently exercised or who are tested in the supine position will have elevated DLCO values. The technique used to perform the DLCO maneuver can alter results, as a Valsalva (forced exhalation against a closed airway) maneuver will decrease measured DLCO, and a Müller (forced inhalation against a closed airway) maneuver will increase DLCO, due primarily to changes in pulmonary blood volume. Smoking also increases COHb and decreases measured DLCO. While healthy nonsmokers typically have very low COHB levels of less than 2%, smokers may have COHb levels greater than 10%. Each 1% increase in COHb causes an approximate 1% decrease in measured DLCO. Patients should refrain from smoking 24 hours prior to the test, and if smoking occurs, this should be noted. A correction for CO back pressure should be made in those suspected of having a COHb of greater than 2%. Use of supplemental oxygen will decrease measured DLCO by interfering with COHb binding, and, if possible, patients should rest without use of supplemental oxygen for 10 min prior to testing.

Considerations in Interpreting DLCO

Reference Equations

In the most recent update of the ATS/ERS standards, there was no recommendation of a single prediction equation, due to the high inter-laboratory variability.28 Unlike spirometry, for which there is a recommended set of reference equations based on a large sample population,29 the available reference equations for DLCO30–34 are older and based on smaller sample populations. There is substantial variation in predicted values among the available reference equations.35 In general, the choice of a reference equation should take into account methodologic differences (age and characteristics of the equipment), testing conditions (altitude), and the characteristics of the patients being studied. Predicted values for DLCO, alveolar volume, and CO transfer coefficient (KCO) should all be derived from the same source. Some reference equations include a body-weight term in predicting alveolar volume, which may be an increasingly important consideration with the rising prevalence of obesity.33,34 There is a positive relationship between weight and DLCO, meaning that DLCO tends to increase as body weight increases. There may be gender differences in the relationship between body weight and DLCO, as weight has been a significant predictor of DLCO among women.35 Proponents of including the actual weight as a term in the reference equation for predicted DLCO emphasize the need to develop new reference equations in populations with a broader weight ranges.

As there is no single recommended DLCO prediction equation, laboratories should choose equations based on their population and testing conditions, but this contributes to the variability between laboratories. In interpreting DLCO, if different reference equations have been applied (eg, from testing in different laboratories), this should be recognized and taken into account. Ultimately, development of new reference equations for DLCO based on a large, representative sample of the population is needed.

Adjustments

Prior to interpreting DLCO results, the quality of testing and any unique testing conditions should be reviewed. Adjustments to the measurement may be considered if the patient has anemia, has used supplemental oxygen, or has recently smoked. While the ATS/ERS guidelines recommend adjusting the predicted value, many laboratories adjust the measured value. Adjustment for alveolar lung volume is controversial.28,36–38 The relationship between DLCO and alveolar volume is complex; in normal lungs the DLCO adjustment for a submaximal inspiration is not a 1:1 relationship and, therefore, simply dividing DLCO by alveolar volume will result in “overcorrecting” and a supernormal corrected value. Furthermore, the relationship between DLCO and alveolar volume varies by disease state and physiologic conditions. A better approach to interpreting DLCO in the setting of abnormal lung volumes is to consider the pattern and clinical context rather than rely on a “corrected” value.39

Clinically Important Changes

In determining a clinically important change in DLCO, consideration of the inherent variability in the measurement is important. The ATS/ERS guidelines currently state that a change of 10% or more should be considered clinically important. This recommendation is based on data from 8 healthy trained pulmonary function technicians collected over 1 year.40 More recently it has been suggested that a 10% change may be too small to be considered clinically important, based on large clinical trials of inhaled insulin that assessed DLCO in diabetics without overt lung disease.21 Data from more than 1,500 participants demonstrated that quality control influenced inter-session variability in DLCO measurements; using the 10% threshold, 15% of those who underwent repeated highly standardized testing and 35% of those who underwent repeated routine testing would be characterized as having a clinically important change despite no other evidence of change in lung function. Based on these findings, the authors proposed a threshold of 20–25% as more appropriate for determining a clinically important change. In fact, each laboratory must assess DLCO variability using the available equipment and technicians and consider this variability in interpretation of results. At the individual level, differences in testing conditions should be considered when interpreting a clinically important change in a patient. These include factors such as whether testing was done at the same laboratory, with the same equipment, reference equations, and patient factors, such as use of oxygen, smoking status, and presence of anemia as examples.

Summary

Implementation of quality control practices improves accuracy and precision in DLCO testing and can substantially reduce variability, cutting variability in half in some instances. These quality control measures include ensuring that equipment meets the recommendations of the ATS/ERS standards and implementing a quality control program that includes routine testing of equipment with a systematic approach to addressing out-of-range test results. Laboratories can also decrease variability by maintaining standard testing procedures and documenting changes in environmental conditions, such as ambient temperature, and patient conditions, such as the presence of supplemental oxygen, recent smoking, or anemia.

Discussion

Coates:

I have a comment and a plea, as well as a question. The comment and plea is that I chair a committee for the Canadian Thoracic Society, and we have recently requested that the next Statistics Canada's Canadian Health Measure Survey, which includes spirometry, also include DLCO, because there's so much concern about the reference equations. I guess the plea would be that maybe Bruce Culver or other representatives from major organizations do the same thing with NHANES [National Health and Nutrition Examination Survey]. While we have excellent values for spirometry, there's nothing equivalent for DLCO, and if I put on my pediatric hat (which I wear all the time), it is even worse for children. So if we can get our major survey organizations to include DLCO testing and give them some guidance and help to make sure that they have accurate testing, I think it will go a long way in giving us better reference equations that will allow us to come up with decisions as to what's normal and what's abnormal instead of saying, “you're normal if we use this reference equation and you're abnormal if we use that.”

The second question I have is, when you show that the repeatability of the measurement changes depending on how low the DLCO is, how much of that is lung volume related? Again, with children we often get in the situation where we just don't have a VC [vital capacity] large enough to give us a large enough sample volume to enable an accurate measurement.

McCormack:

I think that's a good point. It is not clear how much of this is lung volume related.

Enright:

You test children as well as adults in your lab, so did your repeatability study include children?

McCormack:

No, this does not include children. This includes adults and it could include some late teens, but that would probably be a very small subset.

MacIntyre:

As I run our clinical lab, DLCO is used very heavily by our interstitial lung disease folks, and it's used very heavily by our oncologists, because they think this is a nice way to look for early lung toxicity. I'm struck that there are 2 common themes that I always get asked by these clinicians.

Number one is, what is a big enough difference to be a real difference? They're convinced 10% means something, and I think you've shown data that says that may be way too tight and you'll be calling something abnormal that is not. That's why I like to say at least two and a half units [units = mL/min/mm Hg] before you start getting excited about a difference. 10% of a DLCO of 10 is only 1 and that is hardly, I think, a meaningful change.

The second issue that is quite pervasive, and you addressed it a bit, is this notion that you can somehow “correct” a low DLCO for a low alveolar volume. As you pointed out quite correctly, the relationship of DLCO and alveolar volume is not a straight line by any means. I think this relationship can help with the interpretation of diffusion. But to say that because your diffusing capacity was reduced by 50% and your lung volume's reduced by 50% (ie, that they went down the same), ergo the DLCO is normal, is quite simply wrong. I see a lot of people in the clinical world getting caught in that trap saying, “Neil, I realize the DLCO is down, but so's the lung volume, so everything's OK.” I guess that really wasn't much of a question, but more of a comment and to thank you for bringing these points up.

Miller:

Thank you for your stimulating presentation. Since I still have some green (old-fashioned spirometer pen) ink somewhere on a finger, I'd like to put this in perspective. If we look at the current DLCO systems, compared to the 5-way valve you manually turned and the bag in the box you had to fill, I think we've come a long way. One of the big advances is the instantaneous CO and diluent gas analyzers, which permit you to see that you have indeed cleared the dead space. That eliminates a lot of the error, especially with smaller lung volumes, and mitigates the need to have a collection of 0.5 L or 1 L of gas to make measurements. I've been impressed that, for a test that includes so many variables, done by a human being, in which you're measuring volume and time and concentrations of at least 2 gases, how repeatable it is in most patients. Given the number of technical things you're paying attention to, I think getting the reproducibility to 5% or less (within 1 or 2 units) in successive tests is impressive.

On the question of smoking, I'd like to make a plea to the manufacturers (at least one of whom has a representative here) that it's very easy, since you have a CO analyzer in the test apparatus, to measure end-tidal CO and know indeed that a patient is still smoking and has recently smoked. We measured end-tidal CO routinely in many of our studies. To make that easily available in the lab will tell you that indeed this patient who says “I don't smoke” is still smoking and smoked recently before the test. This changes the test result from what it would otherwise be and raises the question of smoking-specific reference equations.

Pichurko:

In centers with sizeable interstitial lung disease programs I'm sure it is widely appreciated that the diffusion capacity has a tremendous prognostic value in this population, when measured serially, and, in particular, along with FVC after one year's treatment. So accuracy is key, and the problems that we face involve measuring those people whose vital capacity has drifted below the 1-liter level. I wonder if anyone would care to share their experience with gas mixtures that have different kinetics, speedier kinetics than helium, along with rapidly responding gas analyzers in order to allow accurate and more reliable measurements at severely reduced lung volumes?

MacIntyre:

I just want to make sure I even understand the question. One of the beauties of the rapidly responding meters that you were referring to is that they allow you to actually look at the tracings. I remember when these first came out, Tony Huang and I did a study1 looking at that, and it was amazing: even following the ATS criteria, I think it was 7% or 10% of them still were not adequately clearing the dead space. It's almost a religion back home to make sure that the techs look at these tracings very carefully to make sure that we've cleared dead space.

And it works both ways, because it also means [that] when you've got someone with a very small VC you might actually be able to get away with a very small clearing volume and a very small sample volume. So I'm really pleased that these analyzers over the last 20 years have really changed things a lot. But I'm a little confused: you say agents other than CO. Are you referring to nitric oxide maybe?

Pichurko:

Diluent gases with different kinetics.

MacIntyre:

Like?

Pichurko:

Methane, xenon.

MacIntyre:

Oh, OK. Nitric oxide has certainly been discussed, our folks back home use xenon not so much as a diffusing measurement but as an MRI [magnetic resonance imaging] scanning agent, to look at gas distribution and gas transfer.

Coates:

One of the challenges that we struggle with in pediatrics with variable VCs when we are doing the small children on equipment that was largely designed for adults, and using filters, there's a lot of dead space involved in the equipment. I would ask the manufacturers, if we could reduce that dead space, would we have more accurate values, since it would be easier to make sure we've washed out the physiologic dead space? I worry that there is a lot of noise that's introduced by the equipment dead space when testing small children.

Enright:

Including those bacteria filters.

Coates:

Yes. The bacteria filters have a considerable amount of dead space added and they certainly give rise to turbulence in mixing.

Footnotes

  • Correspondence: Meredith C McCormack MD MHS, Pulmonary and Critical Care Medicine, Johns Hopkins University, 1830 East Monument Street, 5th Floor, Baltimore MD 21205. E-mail: mmccor16{at}jhmi.edu.

  • Dr McCormack presented a version of this paper at the 48th Respiratory Care Journal Conference, “Pulmonary Function Testing,” held March 25–27, 2011, in Tampa, Florida.

  • The author has disclosed no conflicts of interest.

References

  1. 1.↵
    1. Agusti AG,
    2. Roca J,
    3. Gea J,
    4. Wagner PD,
    5. Xaubet A,
    6. Rodriguez-Roisin R
    . Mechanisms of gas-exchange impairment in idiopathic pulmonary fibrosis. Am Rev Respir Dis 1991;143(2):219–225.
    OpenUrlCrossRefPubMed
  2. 2.
    1. Hadeli KO,
    2. Siegel EM,
    3. Sherrill DL,
    4. Beck KC,
    5. Enright PL
    . Predictors of oxygen desaturation during submaximal exercise in 8,000 patients. Chest 2001;120(1):88–92.
    OpenUrlCrossRefPubMed
  3. 3.
    1. Kaminsky DA,
    2. Whitman T,
    3. Callas PW
    . DLCO versus DLCO/VA as predictors of pulmonary gas exchange. Respir Med 2007;101(5):989–994.
    OpenUrlCrossRefPubMed
  4. 4.
    1. Kelley MA,
    2. Panettieri RA Jr.,
    3. Krupinski AV
    . Resting single-breath diffusing capacity as a screening test for exercise-induced hypoxemia. Am J Med 1986;80(5):807–812.
    OpenUrlCrossRefPubMed
  5. 5.
    1. Mohsenifar Z,
    2. Collier J,
    3. Belman MJ,
    4. Koerner SK
    . Isolated reduction in single-breath diffusing capacity in the evaluation of exertional dyspnea. Chest 1992;101(4):965–969.
    OpenUrlCrossRefPubMed
  6. 6.
    1. Mohsenifar Z,
    2. Lee SM,
    3. Diaz P,
    4. Criner G,
    5. Sciurba F,
    6. Ginsbueg M,
    7. Wise RA
    . Single-breath diffusing capacity of the lung for carbon monoxide: a predictor of PaO2, maximum work rate, and walking distance in patients with emphysema. Chest 2003;123(5):1394–1400.
    OpenUrlCrossRefPubMed
  7. 7.
    1. Owens GR,
    2. Rogers RM,
    3. Pennock BE,
    4. Levin D
    . The diffusing capacity as a predictor of arterial oxygen desaturation during exercise in patients with chronic obstructive pulmonary disease. N Engl J Med 1984;310(19):1218–1221.
    OpenUrlPubMed
  8. 8.
    1. Ries AL,
    2. Farrow JT,
    3. Clausen JL
    . Pulmonary function tests cannot predict exercise-induced hypoxemia in chronic obstructive pulmonary disease. Chest 1988;93(3):454–459.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Risk C,
    2. Epler GR,
    3. Gaensler EA
    . Exercise alveolar-arterial oxygen pressure difference in interstitial lung disease. Chest 1984;85(1):69–74.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Brunelli A,
    2. Refai MA,
    3. Salati M,
    4. Sabbatini A,
    5. Morgan-Hughes NJ,
    6. Rocco G
    . Carbon monoxide lung diffusion capacity improves risk stratification in patients without airflow limitation: evidence for systematic measurement before lung resection. Eur J Cardiothorac Surg 2006;29(4):567–570.
    OpenUrlFREE Full Text
  11. 11.↵
    1. Latsi PI,
    2. du Bois RM,
    3. Nicholson AG,
    4. Colby TV,
    5. Bisirtzoglou D,
    6. Nikolakopoulou A,
    7. et al
    . Fibrotic idiopathic interstitial pneumonia: the prognostic value of longitudinal functional trends. Am J Respir Crit Care Med 2003;168(5):531–537.
    OpenUrlCrossRefPubMed
  12. 12.↵
    1. Macintyre N,
    2. Crapo RO,
    3. Viegi G,
    4. Johnson DC,
    5. van der Grinten CP,
    6. Brusasco V,
    7. et al
    . Standardisation of the single-breath determination of carbon monoxide uptake in the lung. Eur Respir J 2005;26(4):720–735.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. Punjabi NM,
    2. Shade D,
    3. Patel AM,
    4. Wise RA
    . Measurement variability in single-breath diffusing capacity of the lung. Chest 2003;123(4):1082–1089.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Crapo RO,
    2. MacIntyre NR,
    3. Jensen RL
    . Absolute, rather than percent differences, can be used to assess measurement variability for DLCO (abstract). Chest 2004;126(Suppl):797S.
    OpenUrl
  15. 15.↵
    1. Jensen RL,
    2. Teeter JG,
    3. England RD,
    4. White HJ,
    5. Pickering EH,
    6. Crapo RO
    . Instrument accuracy and reproducibility in measurements of pulmonary function. Chest 2007;132(2):388–395.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Jensen RL,
    2. Teeter JG,
    3. England RD,
    4. Howell HM,
    5. White HJ,
    6. Pickering EH,
    7. Crapo RO
    . Sources of long-term variability in measurements of lung function: implications for interpretation and clinical trial design. Chest 2007;132(2):396–402.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Chinn DJ,
    2. Naruse Y,
    3. Cotes JE
    . Accuracy of gas analysis in lung function laboratories. Thorax 1986;41(2):133–137.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Cotes JE
    . Effect of variability in gas analysis on the reproducibility of the pulmonary diffusing capacity by the single breath method. Thorax 1963;18:151–154.
    OpenUrlFREE Full Text
  19. 19.↵
    1. Huang YC,
    2. Macintyre NR
    . Real-time gas analysis improves the measurement of single-breath diffusing capacity. Am Rev Respir Dis 1992;146(4):946–950.
    OpenUrlPubMed
  20. 20.↵
    1. Jensen RL,
    2. Crapo RO
    . Diffusing capacity: how to get it right. Respir Care 2003;48(8):777–782.
    OpenUrlAbstract/FREE Full Text
  21. 21.↵
    1. Drummond MB,
    2. Schwartz PF,
    3. Duggan WT,
    4. Teeter JG,
    5. Riese RJ,
    6. Ahrens RC,
    7. et al
    . Intersession variability in single-breath diffusing capacity in diabetics without overt lung disease. Am J Respir Crit Care Med 2008;178(3):225–232.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Enright PE,
    2. Blonshine SB,
    3. Harris RL
    . Suboptimal quality assurance programs in PFT labs (abstract). Am J Respir Crit Care Med 2007;A606.
  23. 23.↵
    1. Jensen R,
    2. Leyk M,
    3. Crapo R,
    4. Muchmore D,
    5. Berclaz PY
    . Quality control of DLCO instruments in global clinical trials. Eur Respir J 2009;33(4):828–834.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    Pulmonary function laboratory management and procedure manual, 2nd edition. New York: American Thoracic Society; 2005.
  25. 25.↵
    1. Saydain G,
    2. Beck KC,
    3. Decker PA,
    4. Cowl CT,
    5. Scanlon PD
    . Clinical significance of elevated diffusing capacity. Chest 2004;125(2):446–452.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Sansores RH,
    2. Abboud RT,
    3. Kennell C,
    4. Haynes N
    . The effect of menstruation on the pulmonary carbon monoxide diffusing capacity. Am J Respir Crit Care Med 1995;152(1):381–384.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Cinkotai FF,
    2. Thomson ML
    . Diurnal variation in pulmonary diffusing capacity for carbon monoxide. J Appl Physiol 1966;21(2):539–542.
    OpenUrlFREE Full Text
  28. 28.↵
    1. Pellegrino R,
    2. Viegi G,
    3. Brusasco V,
    4. Crapo RO,
    5. Burgos F,
    6. Casaburi R,
    7. et al
    . Interpretative strategies for lung function tests. Eur Respir J 2005;26(5):948–968.
    OpenUrlFREE Full Text
  29. 29.↵
    1. Hankinson JL,
    2. Odencrantz JR,
    3. Fedan KB
    . Spirometric reference values from a sample of the general US population. Am J Respir Crit Care Med 1999;159(1):179–187.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Crapo RO,
    2. Morris AH
    . Standardized single breath normal values for carbon monoxide diffusing capacity. Am Rev Respir Dis 1981;123(2):185–189.
    OpenUrlPubMed
  31. 31.
    1. Knudson RJ,
    2. Kaltenborn WT,
    3. Knudson DE,
    4. Burrows B
    . The single-breath carbon monoxide diffusing capacity. Reference equations derived from a healthy nonsmoking population and effects of hematocrit. Am Rev Respir Dis 1987;135(4):805–811.
    OpenUrlPubMed
  32. 32.
    1. Miller A,
    2. Thornton JC,
    3. Warshaw R,
    4. Anderson H,
    5. Teirstein AS,
    6. Selikoff IJ
    . Single breath diffusing capacity in a representative sample of the population of Michigan, a large industrial state. Predicted values, lower limits of normal, and frequencies of abnormality by smoking history. Am Rev Respir Dis 1983;127(3):270–277.
    OpenUrlPubMed
  33. 33.↵
    1. Paoletti P,
    2. Viegi G,
    3. Pistelli G,
    4. Di Pede F,
    5. Fazzi P,
    6. Polato R,
    7. et al
    . Reference equations for the single-breath diffusing capacity. A cross-sectional analysis and effect of body size and age. Am Rev Respir Dis 1985;132(4):806–813.
    OpenUrlPubMed
  34. 34.↵
    1. Roca J,
    2. Rodriguez-Roisin R,
    3. Cobo E,
    4. Burgos F,
    5. Perez J,
    6. Clausen JL
    . Single-breath carbon monoxide diffusing capacity prediction equations from a Mediterranean population. Am Rev Respir Dis 1990;141(4 Pt 1):1026–1032.
    OpenUrlPubMed
  35. 35.↵
    1. Thompson BR,
    2. Johns DP,
    3. Bailey M,
    4. Raven J,
    5. Walters EH,
    6. Abramson MJ
    . Prediction equations for single breath diffusing capacity (TLCO) in a middle aged Caucasian population. Thorax 2008;63(10):889–893.
    OpenUrlAbstract/FREE Full Text
  36. 36.↵
    1. Cotes JE
    . Carbon monoxide transfer coefficient KCO (TL/VA): a flawed index. Eur Respir J 2001;18(5):893–894.
    OpenUrlFREE Full Text
  37. 37.
    1. Hughes JM,
    2. Pride NB
    . In defence of the carbon monoxide transfer coefficient KCO (TL/VA). Eur Respir J 2001;17(2):168–174.
    OpenUrlAbstract/FREE Full Text
  38. 38.↵
    1. Johnson DC
    . Importance of adjusting carbon monoxide diffusing capacity (DLCO) and carbon monoxide transfer coefficient (KCO) for alveolar volume. Respir Med 2000;94(1):28–37.
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Fitting JW
    . Transfer factor for carbon monoxide: a glance behind the scene. Swiss Med Wkly 2004;134(29-30):413–418.
    OpenUrlPubMed
  40. 40.↵
    1. Hathaway EH,
    2. Tashkin DP,
    3. Simmons MS
    . Intraindividual variability in serial measurements of DLCO and alveolar volume over one year in eight healthy subjects using three independent measuring systems. Am Rev Respir Dis 1989;140(6):1818–1822.
    OpenUrlCrossRefPubMed
  1. 1.↵
    1. Huang YC,
    2. MacIntyre NR
    . Real-time gas analysis improves the measurement of single-breath diffusing capacity. Am Rev Respir Dis 1992;146;(4):946–950.
    OpenUrlPubMed
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