Skip to main content

Main menu

  • Home
  • Current issue
  • Past issues
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Peer reviewer login
  • Journal club
  • Alerts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us
  • My Cart

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • Past issues
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Peer reviewer login
  • Journal club
  • Alerts
  • Subscriptions

Multiple breath washout: measuring early manifestations of lung pathology

Sanja Stanojevic, Cole Bowerman, Paul Robinson
Breathe 2021 17: 210016; DOI: 10.1183/20734735.0016-2021
Sanja Stanojevic
1Dept of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sanja Stanojevic
  • For correspondence: sanja.stanojevic@dal.ca
Cole Bowerman
1Dept of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cole Bowerman
Paul Robinson
2Dept of Respiratory Medicine, Children's Hospital at Westmead, Sydney, Australia
3The Children's Hospital at Westmead Clinical School, The University of Sydney, Sydney, Australia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Paul Robinson
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

The multiple breath washout (MBW) test measures the efficiency of gas mixing in the lungs and has gained significant interest over the past 20 years. MBW outcomes detect early lung function impairment and peripheral airway pathology, through its main outcome measure lung clearance index (LCI). LCI measures the number of lung turnovers required to washout an inert tracer gas. MBW is performed during normal (tidal) breathing, making it particularly suitable for young children or those who have trouble performing forced manoeuvres. Additionally, research in chronic respiratory disease populations has shown that MBW can detect acute clinically relevant changes before conventional lung function tests, such as spirometry, thus enabling early intervention. The development of technical standards for MBW and commercial devices have allowed MBW to be implemented in clinical research and potentially routine clinical practice. Although studies have summarised clinimetric properties of MBW indices, additional research is required to establish the clinical utility of MBW and, if possible, shorten testing time. Sensitive, feasible measures of early lung function decline will play an important role in early intervention for people living with respiratory diseases.

Educational aim

  • To describe the multiple breath washout test, its applications to lung pathology and respiratory disease, as well as directions for future research.

Abstract

The multiple breath washout test is a sensitive measure of early lung function impairment. It has been shown to be feasible in young children and several respiratory disease populations; nonetheless more work is required to establish its clinical utility. https://bit.ly/2W5xiol

Introduction

Many common obstructive pulmonary diseases originate in the peripheral airways, often manifesting long before symptoms appear or are detected by standard pulmonary function tests (e.g. spirometry). The most commonly used spirometric indices, such as forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC), predominately reflect large airway function and therefore miss the opportunity for early detection of damage to the small airways and intervention to prevent long term sequelae [1–3]. While forced expiratory flows (i.e. forced expiratory flow at 25–75% of FVC) may be more sensitive to small airway changes than FEV1 or FVC and can detect differences between groups, they are highly variable and influenced by FVC which makes them difficult to interpret in an individual [4, 5]. The multiple breath washout (MBW) test offers the ability to detect early manifestations of peripheral airway pathology by assessing gas mixing within the lungs, a process that all airways participate in [6–8]. The MBW test was first described in 1952 by Dr Margaret Becklake [9]; however, interest in the technique has only gained significant traction in the past 20 years. Consensus recommendations regarding technical standards for equipment and measurement protocols have been integral to improving the accuracy and consistency of results and the subsequent emergence of robust commercial devices [10]. Validation of MBW equipment is recommended, and the in vitro precision of measured functional residual capacity (FRC) for several devices using a double chamber plastic lung model is within 5% across a range of lung volumes and respiratory frequencies [11–14]. The availability of commercial devices has helped facilitate the implementation of MBW into multicentre international research studies [15, 16], and its transition into routine clinical practice [17]. In this review we describe the MBW test, its applications and challenges, and directions for future research.

What is multiple breath washout?

MBW assesses ventilation distribution by measuring how efficiently the lungs clear an inert tracer gas across a series of breaths (figure 1). The lungs have evolved to promote efficient gas mixing, and in healthy individuals, an inhaled gas should distribute evenly throughout the lungs. The distribution of obstructive lung disease is typically patchy in its early stages, and this narrowing/obstruction of peripheral airways leads to uneven and less efficient gas mixing. Therefore, the longer it takes to wash out the tracer gas of interest, the greater the ventilation inhomogeneity present and the less efficient gas mixing is. The “inert” tracer gas must be safe to inhale and not participate in gas exchange. Exogenous gases (e.g. sulfur hexafluoride (SF6) and helium) must be washed-in before they are washed-out by breathing room air, whereas endogenous gases (e.g. nitrogen) are washed-out by breathing 100% oxygen (figure 1). One of the advantages of MBW is that it can be performed during tidal (normal) breathing, which makes it ideally suited for infants and young children, as well as some adults, who have trouble performing the forced manoeuvres required for standard pulmonary function tests [17, 18].

Figure 1
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1

Schematic illustration of a generic inert gas washout system. Hardware required for washout is relatively simple: a flow meter, a fast-responding inert gas analyser, a gas delivery system, and a patient interface. The equipment-related deadspace volume (VD) can be divided into pre- and post-gas sampling points. Post-gas sampling point VD effectively introduces a small rebreathing chamber. Pre-gas sampling point VD is an extension of anatomical VD. Reproduced from [10] with permission.

The lung clearance index (LCI), the most commonly reported outcome measure from the MBW test, is a global measure of ventilation inhomogeneity. It is calculated as the cumulative expired volume of air exhaled during the washout portion of the test, corrected for a measure of the subject’s lung volume (FRC), which is also calculated during the test. In other words, the LCI represents the number of lung volume turnovers (FRCs) required to clear the tracer gas. The change in slope of the normalised nitrogen alveolar plateau (phase III slope) over a series of breaths can also be reported to distinguish ventilation heterogeneity arising within proximal conducting airways (Scond) from that arising in more distal airways within the region of the lung acinus (Sacin) [10, 19].

In research studies the feasibility of MBW is often greater than 80% [20, 21]; whereas when implemented into clinical practice the feasibility drops to 60–70% [8, 22]. The feasibility is also higher in school-age children compared with preschool children; however, with the appropriate training and child-friendly environment, feasibility can be up to 89% in preschool children [23, 24]. The majority of studies, to date, have measured LCI in individuals with normal measures of spirometry, or with mild lung disease. The LCI is more variable in individuals with more advanced lung disease and may not be as useful in those with reduced lung function measured from forced expiratory manoeuvres.

Interpretation of results

As with all pulmonary function tests, MBW must meet the technical requirements of a good quality test before results can be interpreted [10, 25]. In addition, repeatable trials must be obtained to ensure the measured indices reflect the physiology within the lungs; the average of at least 2–3 trials is typically reported. Although some criteria are clear and objective to define, evaluation of the quality of a washout curve requires careful breath-by-breath review. For example, at least three breaths must be present under the target end concentration with no evidence of leaks (i.e. the intake of room air causing a change in the tracer gas concentration measured by the system). In the example depicted in figure 2, the washout curve includes several examples of leaks, and the interpretation of the results produced by this washout would be biased and not reflect the true underlying ventilation inhomogeneity within the lungs.

Figure 2
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 2

Example of a washout curve. From top to bottom, the breath-by-breath tracings show the volume/flow (red/black), nitrogen (N2) concentration (red), oxygen (O2) concentration (blue), and carbon dioxide (CO2) concentration (green). In this example there are multiple instances of gas leaks, apparent as increases or spikes in nitrogen concentration, where external nitrogen has been entrained and measured by the system. As the test measures the washout of nitrogen from the lungs, nitrogen contained in room air that enters the system will increase the measured gas concentration and over-estimate the LCI [26].

Furthermore, the breathing pattern should reflect normal tidal breathing. In adult testing, some respiratory function laboratories have used a fixed 1 L tidal volume breathing protocol [27] to ensure clear visualisation of the phase III slope and a more stable breathing pattern. However, in young children this approach is not feasible, and in older children this may lead to significantly different LCI and FRC results [28]. Although extreme deviations from normal tidal breathing may impact LCI and other indices, some degree of variability in breathing pattern is expected and does not necessarily influence outcomes [29]. Further research is needed to identify which quality control criteria impact results significantly. Implementation of clear, objective criteria to evaluate the quality of the washout in real-time will help to increase the confidence with which results can be interpreted and may not require detailed review. These efforts are already well underway [15].

How much change in LCI is important?

As with all pulmonary function tests, it is important to monitor changes over time to understand whether changes in lung function are associated with clinically meaningful events. Quantifying the magnitude of change that can be attributed to measurement error and/or biological variability is necessary to be able to distinguish noise from clinically meaningful changes. For the MBW tests, the measurement error of the test can be minimised by appropriate calibration of equipment and test measurement protocols, whereas the biological variability of the test has been shown to be proportional to the degree of impairment (figure 3). In other words, the variability of LCI is higher in individuals with worse LCI. Initially, evidence suggested a 1-unit change in LCI was considered meaningful, and studies were designed to look at whether clinical care could be guided when a 1-unit change in LCI was observed [30]. However, since variability is proportional to the measured value, a 1-unit change may underestimate variability in those with worse LCI values, and therefore overestimate meaningful changes, whilst missing important changes in those with values closer to the normal range. For example, a 1-unit change in an individual with an LCI of 15 represents a 6.6% change, whereas a 1-unit change in an individual with an LCI of 7 represents a 14% change. Therefore, reporting relative change in LCI may be a solution to this, with changes greater than 15% considered outside variability observed in health and stable cystic fibrosis (CF) [31, 32]. Further studies are needed to verify these cut-off points, or to develop anchor-based approaches that are tied to clinical end-points.

Figure 3
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 3

Bland–Altman plot of the difference in repeated LCI measurements. The difference between LCI measurements is greater at higher LCI values. CF: cystic fibrosis. Reproduced from [31] with permission.

Shortening the testing time?

The biggest barrier to implementation of the MBW into the busier environment of routine clinical care is the time required to complete the test and obtain 2–3 good quality curves. There is strong evidence in support of using earlier cut-offs, namely LCI5 at 1/20th of the starting concentration. The earlier cut-point can save considerable time (∼30–40%) and produces similar results in terms of repeatability, diagnostic characteristics, and detecting significant treatment effects [33–35]. Yet there is some concern that shortening the washout may reduce the sensitivity to detect lung function impairment [36]. LCI5 (i.e. LCI at 1/20th of the starting concentration) has currently not been widely used in clinical care or research and future work is needed to define the clinimetric properties of LCI5 to aid clinical interpretation and implementation.

What's next?

The feasibility for measuring MBW in childhood, including infants and preschool children, has been repeatedly demonstrated for different MBW devices and tracer gases across both the clinical and research environment. Most of the research has focused on the paediatric CF population. As the majority of preschool-age children with CF have an elevated LCI [22, 24, 37], further standardisation efforts to develop robust equipment and define testing protocols for infants are necessary, and currently ongoing [10, 38].

While the vast majority of MBW research to date has been in the CF population, increasingly MBW is also being used in other obstructive lung diseases. For example, MBW outcomes have been used in adults to detect the early damage from cigarette smoking [39], bronchiectasis [16], COPD [40] and early post-transplant bronchiolitis obliterans syndrome (BOS) [41, 42]. Ventilation inhomogeneity is present in asthma (both mild and uncontrolled) [43–45]. More recently a study of symptomatic military deployers was able to detect airway injury due to exposure to high concentrations of particulate matter from sandstorms, diesel combustion, and burning waste using MBW [46]. Cumulatively, these studies highlight the potential for MBW to be used as a screening tool to detect early peripheral airway injury (table 1).

View this table:
  • View inline
  • View popup
Table 1

Summary of potential utility across disease groups

A number of challenges remain before recommendations can be made to use MBW as part of routine clinical care. Although normative reference ranges, as well as within- and between-test reproducibility limits have been published [31, 32, 47–49], the minimal clinically important difference remains to be determined, and we need to better understand how often measurements should be performed, and for which conditions MBW has demonstratable clinical utility. There are several commercial MBW devices now available, each using different gases and/or sensors. Despite standards for equipment and software and validation studies, results from different devices/gases are not interchangeable [50]. Currently, reference equations for healthy populations need to be derived for each device separately. There is a European Respiratory Society task force underway to develop standardised reference equations. The development of these equations, along with further adaptations to software and testing protocols, will aid incorporation into clinical practice.

Conclusions

There is accumulating evidence that the peripheral airways play an important role in several obstructive lung diseases. In addition, the origins of many chronic respiratory diseases lie in early life. Sensitive, feasible measures of lung function to detect peripheral airway changes in childhood and early adulthood, such as MBW, are likely to play an important role in future screening and early intervention strategies.

Key points

  • The MBW test detects peripheral airway narrowing/obstruction by measuring the efficiency of gas mixing in the lungs.

  • Standard pulmonary function tests, such as spirometry, predominantly reflect large airway function and therefore are less sensitive to early signs of lung function impairment in the peripheral airways.

  • MBW has evolved in the past 20 years, and now has validated commercial equipment, detailed technical standards, and established clinimetric properties.

  • Although the MBW test has been implemented into international clinical trials, further work is required to better understand its clinical utility.

Self-evaluation questions

  1. Can you interpret the LCI value from a single MBW trial?

    • a) Yes, provided it is a good quality trial

    • b) No, you need to report at least two good trials

    • c) Yes, as only one trial can be obtained from participants

  2. Can you use LCI5 (LCI at 5% of the starting gas concentration) instead of LCI2.5 (LCI at 2.5% of the starting gas concentration) to define increased ventilation inhomogeneity?

    • a) No, the LCI5 has reduced sensitivity and you may miss important changes

    • b) Yes, the LCI5 and LCI2.5 have the same diagnostic characteristics

    • c) Yes, the LCI5 and LCI2.5 are interchangeable and provide the same information

  3. Which of the following statements is true?

    • a) The clinical utility of the MBW test will improve with adaptations to reduce testing time

    • b) The MBW test can only be used in infants and young children with CF

    • c) The MBW test requires expensive gases that are difficult to purchase

Suggested answers

  1. b.

  2. a.

  3. a.

Footnotes

  • Conflict of interest: S. Stanojevic has nothing to disclose.

  • Conflict of interest: C. Bowerman has nothing to disclose.

  • Conflict of interest: P. Robinson has nothing to disclose.

  • Received January 21, 2021.
  • Accepted July 13, 2021.
  • Copyright ©ERS 2021
http://creativecommons.org/licenses/by-nc/4.0/

Breathe articles are open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0.

References

  1. ↵
    1. Aurora P,
    2. Stanojevic S,
    3. Wade A, et al.
    Lung clearance index at 4 years predicts subsequent lung function in children with cystic fibrosis. Am J Respir Crit Care Med 2011; 183: 752–758. doi:10.1164/rccm.200911-1646OC
    OpenUrlCrossRefPubMed
    1. Horsley AR,
    2. Gustafsson PM,
    3. Macleod KA, et al.
    Lung clearance index is a sensitive, repeatable and practical measure of airways disease in adults with cystic fibrosis. Thorax 2008; 63: 135–140. doi:10.1136/thx.2007.082628
    OpenUrlAbstract/FREE Full Text
  2. ↵
    1. Rowan SA,
    2. Bradley JM,
    3. Bradbury I, et al.
    Lung clearance index is a repeatable and sensitive indicator of radiological changes in bronchiectasis. Am J Respir Crit Care Med 2014; 189: 586–592. doi:10.1164/rccm.201310-1747OC
    OpenUrlCrossRefPubMed
  3. ↵
    1. Pellegrino R,
    2. Viegi G,
    3. Brusasco V, et al.
    Interpretative strategies for lung function tests. Eur Respir J 2005; 26: 948–968. doi:10.1183/09031936.05.00035205
    OpenUrlFREE Full Text
  4. ↵
    1. Quanjer PH,
    2. Weiner DJ,
    3. Pretto JJ, et al.
    Measurement of FEF25–75% and FEF75% does not contribute to clinical decision making. Eur Respir J 2014; 43: 1051–1058. doi:10.1183/09031936.00128113
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Lum S,
    2. Gustafsson P,
    3. Ljungberg H, et al.
    Early detection of cystic fibrosis lung disease: multiple-breath washout versus raised volume tests. Thorax 2007; 62: 341–347. doi:10.1136/thx.2006.068262
    OpenUrlAbstract/FREE Full Text
    1. Gustafsson PM,
    2. Aurora P,
    3. Lindblad A
    . Evaluation of ventilation maldistribution as an early indicator of lung disease in children with cystic fibrosis. Eur Respir J 2003; 22: 972–979. doi:10.1183/09031936.03.00049502
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Stahl M,
    2. Joachim C,
    3. Blessing K, et al.
    Multiple breath washout is feasible in the clinical setting and detects abnormal lung function in infants and young children with cystic fibrosis. Respiration 2014; 87: 357–363. doi:10.1159/000357075
    OpenUrlPubMed
  7. ↵
    1. Becklake MR
    . A new index of the intrapulmonary mixture of inspired air. Thorax 1952; 7: 111–116. doi:10.1136/thx.7.1.111
    OpenUrlFREE Full Text
  8. ↵
    1. Robinson PD,
    2. Latzin P,
    3. Verbanck S, et al.
    Consensus statement for inert gas washout measurement using multiple- and single-breath tests. Eur Respir J 2013; 41: 507–522. doi:10.1183/09031936.00069712
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Fuchs SI,
    2. Buess C,
    3. Lum S, et al.
    Multiple breath washout with a sidestream ultrasonic flow sensor and mass spectrometry: a comparative study. Pediatr Pulmonol 2006; 41: 1218–1225. doi:10.1002/ppul.20524
    OpenUrlCrossRefPubMed
    1. Singer F,
    2. Houltz B,
    3. Latzin P, et al.
    A realistic validation study of a new nitrogen multiple-breath washout system. PLoS One 2012; 7: e36083. doi:10.1371/journal.pone.0036083
    OpenUrlCrossRefPubMed
    1. Schmidt A,
    2. Yammine S,
    3. Proietti E, et al.
    Validation of multiple-breath washout equipment for infants and young children. Pediatr Pulmonol 2015; 50: 607–614. doi:10.1002/ppul.23010
    OpenUrlCrossRefPubMed
  10. ↵
    1. Singer F,
    2. Houltz B,
    3. Robinson P, et al.
    Bench test of a mass spectrometer based multiple-breath washout system using a realistic lung model. Eur Respir J 2012; 40: Suppl. 56, P4602.
    OpenUrl
  11. ↵
    1. Saunders C,
    2. Jensen R,
    3. Robinson PD, et al.
    Integrating the multiple breath washout test into international multicentre trials. J Cyst Fibros 2020; 19: 602–607. doi:10.1016/j.jcf.2019.11.006
    OpenUrlCrossRefPubMed
  12. ↵
    1. O'Neill K,
    2. Ferguson K,
    3. Cosgrove D, et al.
    Multiple breath washout in bronchiectasis clinical trials: is it feasible? ERJ Open Res 2020; 6: 00363-2019. doi:10.1183/23120541.00363-2019
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Singer F,
    2. Kieninger E,
    3. Abbas C, et al.
    Practicability of nitrogen multiple-breath washout measurements in a pediatric cystic fibrosis outpatient setting. Pediatr Pulmonol 2013; 48: 739–746. doi:10.1002/ppul.22651
    OpenUrlCrossRefPubMed
  14. ↵
    1. Aurora P,
    2. Bush A,
    3. Gustafsson P, et al.
    Multiple-breath washout as a marker of lung disease in preschool children with cystic fibrosis. Am J Respir Crit Care Med 2005; 171: 249–256. doi:10.1164/rccm.200407-895OC
    OpenUrlCrossRefPubMed
  15. ↵
    1. Verbanck S,
    2. Schuermans D,
    3. Van Muylem A, et al.
    Conductive and acinar lung-zone contributions to ventilation inhomogeneity in COPD. Am J Respir Crit Care Med 1998; 157: 1573–1577. doi:10.1164/ajrccm.157.5.9710042
    OpenUrlCrossRefPubMed
  16. ↵
    1. Robinson PD,
    2. Latzin P,
    3. Ramsey KA, et al.
    Preschool multiple-breath washout testing an official American thoracic society technical statement. Am J Respir Crit Care Med 2018; 197: e1–e19. doi:10.1164/rccm.201801-0074ST
    OpenUrlPubMed
  17. ↵
    1. Stanojevic S,
    2. Davis SD,
    3. Perrem L, et al.
    Determinants of lung function progression measured by lung clearance index in children with cystic fibrosis. Eur Respir J 2021; 58: 2003380. doi:10.1183/13993003.03380-2020
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. Hardaker KM,
    2. Panda H,
    3. Hulme K, et al.
    Abnormal preschool Lung Clearance Index (LCI) reflects clinical status and predicts lower spirometry later in childhood in cystic fibrosis. J Cyst Fibros 2019; 18: 721–727. doi:10.1016/j.jcf.2019.02.007
    OpenUrlPubMed
  19. ↵
    1. Ratjen F,
    2. Davis SD,
    3. Stanojevic S, et al.
    Inhaled hypertonic saline in preschool children with cystic fibrosis (SHIP): a multicentre, randomised, double-blind, placebo-controlled trial. Lancet Respir Med 2019; 7: 802–809. doi:10.1016/S2213-2600(19)30187-0
    OpenUrl
  20. ↵
    1. Stanojevic S,
    2. Davis SD,
    3. Retsch-Bogart G, et al.
    Progression of lung disease in preschool patients with cystic fibrosis. Am J Respir Crit Care Med 2017; 195: 1216–1225. doi:10.1164/rccm.201610-2158OC
    OpenUrlCrossRefPubMed
  21. ↵
    1. Jensen R,
    2. Stanojevic S,
    3. Klingel M, et al.
    A systematic approach to multiple breath nitrogen washout test quality. PLoS One 2016; 11: e0157523.
    OpenUrlPubMed
  22. ↵
    1. Lenherr N,
    2. Ramsey KA,
    3. Jost K, et al.
    Leaks during multiple-breath washout: characterisation and influence on outcomes. ERJ Open Res 2018; 4: 00012-2017. doi:10.1183/23120541.00012-2017
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Verbanck S,
    2. Schuermans D,
    3. Van Muylem A, et al.
    Ventilation distribution during histamine provocation. J Appl Physiol 1997; 83: 1907–1916. doi:10.1152/jappl.1997.83.6.1907
    OpenUrlCrossRefPubMed
  24. ↵
    1. Yammine S,
    2. Singer F,
    3. Gustafsson P, et al.
    Impact of different breathing protocols on multiple-breath washout outcomes in children. J Cyst Fibros Elsevier 2014; 13: 190–197. doi:10.1016/j.jcf.2013.08.010
    OpenUrl
  25. ↵
    1. Ratjen F,
    2. Jensen R,
    3. Klingel M, et al.
    Effect of changes in tidal volume on multiple breath washout outcomes. PLoS One 2019; 14: e0219309. doi:10.1371/journal.pone.0219309
    OpenUrl
  26. ↵
    1. Voldby C,
    2. Green K,
    3. Kongstad T, et al.
    Lung clearance indextriggered intervention in children with cystic fibrosis A randomised pilot study. J Cyst Fibros 2020; 19: 934–941. doi:10.1016/j.jcf.2020.06.010
    OpenUrl
  27. ↵
    1. OudeEngberink E,
    2. Ratjen F,
    3. Davis SD, et al.
    Inter-test reproducibility of the lung clearance index measured by multiple breath washout. Eur Respir J 2017; 50: 1700433. doi:10.1183/13993003.00433-2017
    OpenUrlAbstract/FREE Full Text
  28. ↵
    1. Svedberg M,
    2. Gustafsson PM,
    3. Robinson PD, et al.
    Variability of lung clearance index in clinically stable cystic fibrosis lung disease in school age children. J Cyst Fibros 2018; 17: 236–241. doi:10.1016/j.jcf.2017.08.004
    OpenUrlPubMed
  29. ↵
    1. Yammine S,
    2. Singer F,
    3. Abbas C, et al.
    Multiple-breath washout measurements can be significantly shortened in children. Thorax 2013; 68: 586–587. doi:10.1136/thoraxjnl-2012-202345
    OpenUrlAbstract/FREE Full Text
    1. Hannon D,
    2. Bradley JM,
    3. Bradbury I, et al.
    Shortened lung clearance index is a repeatable and sensitive test in children and adults with cystic fibrosis. BMJ Open Respir Res 2014; 1: e000031. doi:10.1136/bmjresp-2014-000031
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Shaw M,
    2. Oppelaar MC,
    3. Jensen R, et al.
    The utility of moment ratios and abbreviated endpoints of the multiple breath washout test in preschool children with cystic fibrosis. Pediatr Pulmonol 2020; 55: 649–653. doi:10.1002/ppul.24618
    OpenUrl
  31. ↵
    1. Stanojevic S,
    2. Jensen R,
    3. Sundaralingam D, et al.
    Alternative outcomes for the multiple breath washout in children with CF. J Cyst Fibros 2015; 14: 490–496. doi:10.1016/j.jcf.2014.12.008
    OpenUrlCrossRefPubMed
  32. ↵
    1. Ramsey KA,
    2. Rosenow T,
    3. Turkovic L, et al.
    Lung clearance index and structural lung disease on computed tomography in early cystic fibrosis. Am J Respir Crit Care Med 2016; 193: 60–67. doi:10.1164/rccm.201507-1409OC
    OpenUrlPubMed
  33. ↵
    1. Gustafsson PM,
    2. Kadar L,
    3. Kjellberg S, et al.
    End-expiratory lung volume remains stable during N2 MBW in healthy sleeping infants. Physiol Rep 2020; 8: e14477. doi:10.14814/phy2.14477
    OpenUrl
  34. ↵
    1. Jetmalani K,
    2. Thamrin C,
    3. Farah CS, et al.
    Peripheral airway dysfunction and relationship with symptoms in smokers with preserved spirometry. Respirology 2018; 23: 512–518. doi:10.1111/resp.13215
    OpenUrl
  35. ↵
    1. Zaigham S,
    2. Wollmer P,
    3. Engström G
    . The association of lung clearance index with COPD and FEV1 reduction in ‘Men born in 1914’. COPD J Chronic Obstr Pulm Dis 2017; 14: 324–329. doi:10.1080/15412555.2017.1314455
    OpenUrl
  36. ↵
    1. Thompson BR,
    2. Ellis MJ,
    3. Stuart-Andrews C, et al.
    Early bronchiolitis obliterans syndrome shows an abnormality of perfusion not ventilation in lung transplant recipients. Respir Physiol Neurobiol 2015; 216: 28–34. doi:10.1016/j.resp.2015.05.003
    OpenUrl
  37. ↵
    1. Driskel M,
    2. Horsley A,
    3. Fretwell L, et al.
    Lung clearance index in detection of post-transplant bronchiolitis obliterans syndrome. ERJ Open Res 2019; 5: 00164–2019. doi:10.1183/23120541.00164-2019
    OpenUrl
  38. ↵
    1. Nuttall AGL,
    2. Velásquez W,
    3. Beardsmore CS, et al.
    Lung clearance index: assessment and utility in children with asthma. Eur Respir Rev 2019; 28: 190046.
    OpenUrlAbstract/FREE Full Text
    1. Verbanck S,
    2. Schuermans D,
    3. Noppen M, et al.
    Evidence of acinar airway involvement in asthma. Am J Respir Crit Care Med 1999; 159: 1545–1550. doi:10.1164/ajrccm.159.5.9809017
    OpenUrlCrossRefPubMed
  39. ↵
    1. Kjellberg S,
    2. Houltz BK,
    3. Zetterström O, et al.
    Clinical characteristics of adult asthma associated with small airway dysfunction. Respir Med 2016; 117: 92–102. doi:10.1016/j.rmed.2016.05.028
    OpenUrlPubMed
  40. ↵
    1. Zell-Baran LM,
    2. Krefft SD,
    3. Moore CM, et al.
    Multiple breath washout: a noninvasive tool for identifying lung disease in symptomatic military deployers. Respir Med 2020; 176: 106281. doi:10.1016/j.rmed.2020.106281
    OpenUrl
  41. ↵
    1. Green K,
    2. Kongstad T,
    3. Skov M, et al.
    Variability of monthly nitrogen multiple-breath washout during one year in children with cystic fibrosis. J Cyst Fibros 2018; 17: 242–248. doi:10.1016/j.jcf.2017.11.007
    OpenUrlPubMed
    1. Anagnostopoulou P,
    2. Latzin P,
    3. Jensen R, et al.
    Normative data for multiple breath washout outcomes in school-aged Caucasian children. Eur Respir J 2020; 55: 1901302. doi:10.1183/13993003.01302-2019
    OpenUrlAbstract/FREE Full Text
  42. ↵
    1. Verbanck S,
    2. Van Muylem A,
    3. Schuermans D, et al.
    Transfer factor, lung volumes, resistance and ventilation distribution in healthy adults. Eur Respir J 2016; 47: 166–176. doi:10.1183/13993003.00695-2015
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. Bayfield KJ,
    2. Horsley A,
    3. Alton E, et al.
    Simultaneous sulfur hexafluoride and nitrogen multiple-breath washout (MBW) to examine inherent differences in MBW outcomes. ERJ Open Res 2019; 5: 00234–2018. doi:10.1183/23120541.00234-2018
    OpenUrl
PreviousNext
Back to top
Vol 17 Issue 3 Table of Contents
Breathe: 17 (3)
  • Table of Contents
  • Index by author
Email

Thank you for your interest in spreading the word on European Respiratory Society .

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Multiple breath washout: measuring early manifestations of lung pathology
(Your Name) has sent you a message from European Respiratory Society
(Your Name) thought you would like to see the European Respiratory Society web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Citation Tools
Multiple breath washout: measuring early manifestations of lung pathology
Sanja Stanojevic, Cole Bowerman, Paul Robinson
Breathe Sep 2021, 17 (3) 210016; DOI: 10.1183/20734735.0016-2021

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Multiple breath washout: measuring early manifestations of lung pathology
Sanja Stanojevic, Cole Bowerman, Paul Robinson
Breathe Sep 2021, 17 (3) 210016; DOI: 10.1183/20734735.0016-2021
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo
Full Text (PDF)

Jump To

  • Article
    • Abstract
    • Abstract
    • Introduction
    • What is multiple breath washout?
    • Interpretation of results
    • What's next?
    • Conclusions
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Subjects

  • Lung structure and function
  • Respiratory clinical practice
  • Tweet Widget
  • Facebook Like
  • Google Plus One

More in this TOC Section

Expert opinion

  • Lung cancer screening by volume CT
  • In pursuit of the primary
  • A rare complication in a case of nonsmall cell lung carcinoma
Show more Expert opinion

Lung function corner

  • Putting lung function reference equations into context
  • Pulmonary function anomalies in COVID-19 survivors
Show more Lung function corner

Related Articles

Navigate

  • Home
  • Current issue
  • Archive

About Breathe

  • Journal information
  • Editorial board
  • Press
  • Permissions and reprints
  • Advertising

The European Respiratory Society

  • Society home
  • myERS
  • Privacy policy
  • Accessibility

ERS publications

  • European Respiratory Journal
  • ERJ Open Research
  • European Respiratory Review
  • Breathe
  • ERS books online
  • ERS Bookshop

Help

  • Feedback

For authors

  • Intructions for authors
  • Publication ethics and malpractice
  • Submit a manuscript

For readers

  • Alerts
  • Subjects
  • RSS

Subscriptions

  • Accessing the ERS publications

Contact us

European Respiratory Society
442 Glossop Road
Sheffield S10 2PX
United Kingdom
Tel: +44 114 2672860
Email: journals@ersnet.org

ISSN

Print ISSN: 1810-6838
Online ISSN: 2073-4735

Copyright © 2023 by the European Respiratory Society