Abstract
Multiple breath wash-out (MBW) testing requires prior wash-in of inert tracer gas. Wash-in efficiency can be enhanced by a rebreathing tracer in a closed circuit. Previous attempts to deploy this did not account for the impact of CO2 accumulation on patients and were unsuccessful. We hypothesised that an effective rebreathe wash-in could be delivered and it would not alter wash-out parameters.
Computer modelling was used to assess the impact of the rebreathe method on wash-in efficiency. Clinical testing of open and closed circuit wash-in–wash-out was performed in healthy controls and adult patients with cystic fibrosis (CF) using a circuit with an effective CO2 scrubber and a refined wash-in protocol.
Wash-in efficiency was enhanced by rebreathing. There was no difference in mean lung clearance index between the two wash-in methods for controls (6.5 versus 6.4; p=0.2, n=12) or patients with CF (10.9 versus 10.8; p=0.2, n=19). Test time was reduced by rebreathe wash-in (156 versus 230 s for CF patients, p<0.001) and both methods were well tolerated. End wash-in CO2 was maintained below 2% in most cases.
Rebreathe–wash-in is a promising development that, when correctly deployed, reduces wash-in time and facilitates portable MBW testing. For mild CF, wash-out outcomes are equivalent to an open circuit.
Abstract
Refinements to wash-in methods permit a faster test and allow use of portable lung clearance index testing http://ow.ly/UYHiN
Introduction
Multiple-breath inert gas wash-out (MBW) is a sensitive and valuable research tool in the assessment of patients with cystic fibrosis (CF) and mild airflow obstruction [1, 2]. The MBW outcome measure lung clearance index (LCI) is more sensitive than conventional spirometry [3–5], correlates better with findings on computed tomography [6] and is sensitive to the beneficial effects of new therapies [7, 8]. A number of different systems are now marketed to measure LCI that comply to varying degrees with technology recommendations [9]. Success in research studies, however, has so far not been transferred into widespread adoption of routine MBW. MBW tests involve both a wash-in of inert tracer gas and a wash-out phase, regardless of whether nitrogen or exogenous tracer gas washout is used, and assessment can thus take in excess of 30 min [10]. Furthermore, both wash-out methodologies require fixed supplies of either 100% oxygen (to wash nitrogen out) or an SF6/air mix (to wash this tracer gas in). This places restrictions on the portability of the apparatus and limits applications to secondary care.
Efficiency of wash-in can be improved by using a rebreathe technique in a closed circuit. This involves breathing in and out of a sealed bag filled with air supplemented with oxygen and an inert tracer gas (e.g. SF6). Rebreathe wash-in is more rapid than open circuit, since a higher concentration of tracer is taken into the lungs at the start of the test, and the final concentration is an equilibration of that between the bag and the lungs (figure 1). A further advantage is that large gas cylinders providing continuous high flows of tracer are not required. In the Innocor device (Innovision ApS, Odense, Denmark), a small on-board cylinder is used to prime the rebreathe bag, improving the portability of the system. The only prior report of this method used an early Innocor prototype that provided no method for removing CO2 from the circuit [11]. The build-up of CO2 within the rebreathe bag inevitably led to variable breathing patterns, and the researchers reported low success rates and high variability in functional residual capacity (FRC). Adding a scrubber to remove CO2 is a simple solution that has now allowed a more thorough and detailed examination of the rebreathe methodology.
We hypothesised that the closed circuit technique could be improved so that an effective wash-in could be achieved. We first investigated this using a computer lung model to explore the effect of ventilation heterogeneity on lung wash-in progression. We then investigated this clinically, comparing open to closed circuit wash-in in a group of healthy controls and patients with SF6. The specific aims of this study were: 1) to explore how ventilation heterogeneity and wash-in methodology affect efficiency of wash-in using a two-compartment computer lung model; 2) to compare the washout parameters LCI and FRC in healthy adult controls and patients with CF, following open and closed circuit wash-in; 3) to compare the time taken to complete open and closed circuit wash-in; and 4) to compare patient experience of open and closed circuit wash-in.
Materials and methods
Wash-in modelling
A two-compartment computer lung model was prepared in Matlab (Mathworks Inc., Natick, MA, USA) to investigate the effect of wash-in protocol and ventilation heterogeneity on wash-in progression. Details are given in the supplementary material. In brief, it allowed control of lung, rebreathe bag and breath volumes, as well as the two major factors that influence washout progression: ventilation heterogeneity and deadspace (both common and lung compartment specific). This was compared to a conventional open circuit wash-in and to a modified rebreathe protocol designed to improve wash-in efficiency, which included six deep breaths at the start of wash-in. The following scenarios were then explored for all three wash-in protocols: 1) increasing specific ventilation heterogeneity to two equal volume lung compartments; and 2) increasingly unequal volume of the two lung compartments. As in clinical testing, apparent incompleteness was defined as the percentage difference between inspired and expired [SF6]. The model also allowed measurement of the true incompleteness of wash-in, here defined as the difference in [SF6] between the two lung compartments, expressed as a percentage of the mixed expired [SF6].
Subjects
Patients with CF were recruited from two UK adult CF centres. All patients had a confirmed diagnosis of CF and best forced expiratory volume in 1 s (FEV1) in the last 6 months of ≥50% predicted. For infection control purposes, patients also had to be free of infection with methicillin-resistant Staphylococcus aureus, Burkholderia cepacia complex and Mycobacterium abscessus. All participants were nonsmokers aged >17 years. Subjects provided signed informed consent. This study was reviewed by the Lancaster Research Ethics Committee (ref. 13/NW/0248).
Participants underwent sequential LCI assessments using the different wash-in protocols. Wash-in methodologies were grouped (i.e. triplicate open circuit followed by triplicate closed circuit, or vice versa). Technical constraints meant that the open circuit method was usually performed first, followed by a rest of ≥5 min. Spirometry was performed after MBW assessments, according to European Respiratory Society/American Thoracic Society standards [12]. Normative values for spirometry are those provided by the Global Lung Function Initiative [13].
Wash-out apparatus
Multiple breath wash-in and wash-out were performed using an Innocor MBW apparatus, which has been approved by the US Food and Drug Administraiton for this purpose. Open circuit wash-in was as previously described [3], using 0.2% SF6 in air (BOC, Guildford, UK). The closed circuit consisted of a sealed 3-L bag filled with a mixture of room air and test gas (94% O2, 1% SF6 and 5% N2O). Switching between air and bag was controlled by fast-operating pneumatic valves triggered at the end of expiration, under the control of the operator (figure 2). Subjects performed wash-outs through the same patient interface, regardless of wash-in protocol. A CO2 scrubber was placed in sequence between the bag and patient, so that expired air was depleted of CO2 prior to re-inspiration.
Based on the modelling data, a modified wash-in protocol was used in order to achieve a more efficient wash-in. This consisted of three novel components: 1) a double CO2 scrubber; 2) an increase in the fraction of the bag volume filled with test gas to 40%, which increases inspired [O2] at the start of wash-in and extends wash-in time before this falls below 20%; and 3) six deep breaths at the start of wash-in, which increases total cumulative inspired volume as well as ensuring poorly ventilated compartments are reached at the start, when the inspired SF6 fraction is high. Wash-in was continued until the SF6 signal had been stable for >30 s. Removal of CO2 results in a persistent small discrepancy between inspired and expired SF6, so this was not always an entirely flat line, in which case the difference was required to be stable.
Six subjects underwent additional open circuit wash-in using a gas mix that included 2% CO2. The details of these experiments are included in the supplementary material.
Analysis
Analysis of wash-in and wash-out was performed offline using software prepared in Igor Pro v6 (Wavemetrics Inc., Lake Oswego, OR, USA) as previously described [10]. “Incompleteness” of wash-in was defined as the difference between inspired and expired SF6 concentrations, expressed as a percentage of the inspired SF6. During rebreathe wash-in, adjustment was made for the effects of CO2 removal on the concentration of SF6. LCI and FRC were calculated according to recent guidelines, including adjustment for re-inspired SF6, and pre- and post-capillary deadspaces (48 and 12 mL, respectively, for this adult MBW configuration) [9].
Patient feedback
At the end of wash-out testing, participants were asked to complete a questionnaire on their experience of the two methods. This contained free text responses and visual analogue scores (VASs) to rate the experience, using a questionnaire designed for this study and based on those used in previous studies [14]. VASs were expressed as a percentage of a maximum score of 100.
Statistics
Data were analysed using Prism (GraphPad Software Inc., San Diego, CA, USA). Normal distribution was assessed using the D'Agostino and Pearson omnibus normality test. Data are presented as mean±sd or median (interquartile range (IQR)) unless otherwise stated. Fisher's exact test was used to compare proportions. Bland–Altman analysis was used to compare LCI and FRC generated from different wash-in methods, and paired t-tests used to describe the significance of the difference between methods. Repeatability of tests was expressed as the coefficient of variation (CoV) from wash-out repeats performed during a single sitting. A p-value <0.05 was considered to be statistically significant.
Results
Wash-in modelling
Full wash-in profiles across the different scenarios are presented in the supplementary material. A representative profile is shown in figure 3 for the different wash-in protocols in a case of moderately severe ventilation heterogeneity (first lung compartment volume 0.7, fractional ventilation 0.3, model LCI 10).
In both ventilation heterogeneity scenarios, a similar picture was observed: wash-in was prolonged by increasing ventilation or volume heterogeneity but was more efficient with the closed circuit method. Adding deep breaths at the start of wash-in deep led to a much more effective and rapid wash-in. Apparent incompleteness, however, fell much faster in a closed circuit, particularly if deep breaths were employed at the start of wash-in, than the true difference in SF6 between compartments.
Clinical testing
LCI from open circuit wash-in and modified rebreathe wash-in was compared in 31 subjects: 19 patients with CF patients and 12 healthy controls. Demographic and lung function data are presented in table 1.
CF patients had lower spirometric parameters than controls and higher LCI. Neither FRC nor LCI were significantly different between open wash-in and rebreathe wash-in. Bland–Altman plots of these data are shown in figures 4 and 5, respectively. For LCI, there were similar 95% limits of agreement (LOA) between the two methods to those previously been described for healthy subjects on different visits using open circuit wash-in (bias 0.1, LOA −0.4–0.6) [3]. For CF patients, the variability between the two wash-in methods was greater but was similar below an LCI of 13 (overall bias 0.2, LOA −1.0–1.3). A single subject had very much greater LCI from open versus closed circuit wash-in (15.6 versus 13.9) but he also had unstable wash-out measurements by both methods (CoV FRC 9%, CoV LCI 7%). Removing this outlier reduces the LOA by 18%.
There was a reduction in wash-in time by 50% (controls) and 32% (CF patients) using the rebreathe method (table 2). Median (IQR) end wash-in O2 concentration was 23.1% (19.0–26.4%) for CF patients. End wash-in inspired CO2 was <2% in all but one CF patient, and median end wash-in CO2 was not significantly different between CF and controls (1.3 versus 1.4%, p=0.5). This does not appear to have had a significant effect on washout breathing patterns: mean±sd wash-out tidal volume (VT) and respiratory rate were no different between open and closed wash-in (847±168 versus 883±186 mL (p=0.09) and 14±4 versus 13±4 breaths per min (p=0.06)).
Repeatability
There were no statistically significant differences in repeatability for LCI or FRC, as measured by the CoV of repeat assessments performed at the same sitting. For CF patients, median (IQR) CoV for LCI was 2.1% (0.9–3.6%) for open circuit wash-in versus 3.2% (0.9–6.4%) for closed circuit (p=0.5). For FRC, the CoV of repeat measurements was 3.5% (1.5–7.3%) for open circuit wash-in versus 4.8% (1.8–6.7%) for closed circuit (p>0.9).
Patient experience
Questionnaires were collected from 24 participants, comprising 11 controls and 13 CF patients (table 3). All wash-in protocols were generally well tolerated. There were no significant differences in VAS scores between open and closed methods or between CF patients and controls for any parameters. The most common comment about the tests in general (from 20 (83%) respondents) were that they were “fine”, “okay”, “comfortable” or that the participant had “no problems”. When asked to indicate the worst part of the test, the most common complaint was discomfort due to the nose clip in 10 (42%) respondents.
Discussion
This is the first study to systematically compare open and closed circuit wash-in methods using a closed circuit technique that includes an effective CO2 scrubber. We have shown that closed circuit wash-in is a simple and more rapid technique for equilibrating tracer gas into the lungs prior to a MBW. We have also shown that wash-in efficiency is enhanced by deep breaths at the start of wash-in and that this is necessary in order to achieve rapid wash-in in CF patients with ventilation heterogeneity. CO2 and O2 can be maintained in the rebreathe bag at levels that are safe and acceptable to patients. For patients with mild to moderate CF (FEV1 >50% predicted), this method did not result in systematic change in FRC, LCI or wash-out breathing patterns. When ventilation heterogeneity is severe, in other words, LCI is very high, the rebreathe wash-in described here may not achieve as effective wash-in as a much more prolonged open circuit wash-in. A possible effect of this is may be a lower LCI when LCI is above the mid-teens.
In order to aid interpretation of the clinical observations, we have developed a lung model to investigate wash-in progress in the context of ventilation heterogeneity. The model allows control of both deadspace and specific ventilation, and permits us to follow the tracer gas signal at the mouth and within the lung compartments. The results reveal that apparently complete wash-in can hide more significant differences between lung compartments. This is particularly the case with rebreathe wash-in, where although <2% difference between inspired and expired SF6 concentration can be very rapidly achieved, this end-point is reached before adequate wash-in of less well ventilated lung compartments has occurred.
As a result of these observations, we have amended the wash-in method to incorporate deep inspirations at the start and to permit a more prolonged closed circuit wash-in. Wash-in can now be comfortably continued for 3 min without [CO2] rising above 2% or [O2] falling below that in room air. We have also shown that CO2 at this level does not appear to affect the LCI. This delivers two major advantages for the rebreathe method. Even though time savings overall may be modest (since wash-out time is unaffected), these are important in the context of clinical deployment, where test time is a major barrier to uptake. Unlike N2 wash-out, there is also no need to wait before starting the next wash-in, and the three tests follow after each other in rapid succession. In a recent attempt to introduce LCI measurements into a clinic setting, Singer et al. [15] restricted themselves to a 20-min time window. In MBW-naïve children, they were unable to complete more than a single N2 wash-out assessment in 59% of subjects, which is insufficient for accurate reporting of LCI [9]. In response to this, attempts have been made to truncate the wash-out, ending at an earlier point [10, 16]. The results have been disappointing, however, with modest time saved offset by a negative impact on sensitivity. With a correctly performed rebreathe wash-in, however, the time saving is at least as great and the signal component of the LCI is preserved. Since the objective of this study was to compare closed circuit to conventional MBW, we have not assessed the impact of deep breathing on open circuit wash-in. It is likely that this would also serve to reduce wash-in time. However, the other major advantage of rebreathe wash-in is that the MBW apparatus is rendered genuinely portable and has since been mounted on a medical cart with an on-board power supply for bedside MBW measurements.
It is important to consider why the experience of closed circuit MBW here was so substantially different to that reported by Pittman et al. [11]. Their study used an early prototype Innocor-rebreathe, without a CO2 scrubber and with automated wash-in algorithms that had not been tested in clinical practice. It is clear that their subjects found rebreathing uncomfortable, resulting in a tendency to take deeper breaths that was restricted by the low filling volume of the bag (1.5VT). This early failure of the closed circuit method led to a recommendation against the technique [1]. In many regards, the experience of Pittman et al. [11] mirrors our own early observations when such protocols were attempted. In order to overcome this, we have deployed an effective CO2 scrubber that limits accumulation of CO2 to typically <2%. We use inspiratory volume feedback to help patients maintain a regular VT throughout the latter part of wash-in and wash-out. However, we also fill the bag to a volume of at least ≥3VT (range 2–3 L), which accommodates deeper breaths and ensures that inspired O2 remains >20%. Instead of an automated end of wash-in algorithm, we use manual control of wash-in termination, based upon recognition of stable expired SF6 signals for ≥30 s. Finally, the measurement of FRC reported here was obtained from wash-out, as per open circuit methods, and in contrast to the earlier report. In this study, patient experience of both open and closed circuit methods was good, with no significant differences in comfort scores between the two methods.
An inherent disadvantage of the rebreathe method is that it is may not be suitable for those with very abnormal gas mixing and thus very high LCI. An effective wash-in may not always be achieved throughout the lungs in this scenario within the wash-in time described here, though further developments to permit longer wash-in may support this. In reality, however, these are not the patients in whom MBW testing should be targeted [17]. The advantages and strengths of LCI in particular appear to be in those with mild airways disease and rebreathe wash-in is equivalent to open circuit in these patients. In conclusion, we have demonstrated the successful adaptation and deployment of a novel rebreathe methodology to perform inert gas wash-in. We have also developed a lung model that considerably aids the design of improved protocols for wash-out measurements. We have shown that rebreathe wash-in permits the use of a portable system that reduces wastage of tracer gas and avoids potential confounding effects of body N2 on washout parameters. Although this method cannot easily be implemented to aid the use of N2 MBW, it can be applied to any system based on inhaled tracer gases. This is an important new development in MBW testing that will facilitate rapid and portable measurement of LCI.
Acknowledgements
The authors are most grateful to all the volunteers who participated in these studies. We would also like to thank the Respiratory and Allergy Clinical Research Facility, North West Lung Centre, Manchester (UK), where much of the clinical and development work was conducted. The authors would also like to acknowledge the assistance provided by the University of Manchester Dept of Medical Physics, Salford Royal Infirmary (Salford, UK), and the Northern Ireland Clinical Research Network (Respiratory Health) for infrastructure support.
Footnotes
This article has supplementary material available from openres.ersjournals.com
Support statement: This work was funded by a UK National Institute for Health Research (NIHR) Clinician Scientist award to A. Horsley. This report presents independent research funded by the NIHR. The views expressed are those of the authors and not necessarily those of the UK National Health Service, the NIHR or the UK Department of Health. Funding information for this article has been deposited with FundRef.
Conflict of interest: Disclosures can be found alongside this article at openres.ersjournals.com
- Received July 7, 2015.
- Accepted November 19, 2015.
- Copyright ©ERS 2015
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