Background Antibiotic treatment for pulmonary symptoms in preschool children with cystic fibrosis (CF) varies among clinicians. The lung clearance index (LCI) is sensitive to early CF lung disease, but its utility to monitor pulmonary exacerbations in young children has not been assessed.
Objective We aim to (1) understand how LCI changes during lower respiratory tract symptoms relative to a recent clinically stable measurement, (2) determine whether LCI can identify antibiotic treatment response and (3) compare LCI changes to changes in spirometric indices.
Methods LCI and spirometry were measured at quarterly clinic visits over a 12-month period in preschool children with CF. Symptomatic visits were identified and classified as treated or untreated. Treatment response was estimated using propensity score matching methods.
Results 104 symptomatic visits were identified in 78 participants. LCI increased from baseline in both treated (mean relative change +23.8% (95% CI 16.2 to 31.4)) and untreated symptomatic visits (mean relative change +11.2% (95% CI 2.4 to 19.9)). A significant antibiotic treatment effect was observed when LCI was used as the outcome measure (average treatment effect −15.5% (95% CI −25.4 to −5.6)) but not for z-score FEV1.
Conclusion LCI significantly deteriorated with pulmonary symptoms relative to baseline and improved with antibiotic treatment. These data suggest that LCI may have a role in the routine clinical care of preschool children with CF.
- multiple breath washout
- cystic fibrosis
- pulmonary exacerbation
- pulmonary function test
Statistics from Altmetric.com
What is the key question?
Can the lung clearance index (LCI) help clinicians diagnose pulmonary exacerbations in preschool children with cystic fibrosis and monitor response to treatment?
What is the bottom line?
LCI is more sensitive than spirometry in detecting lower respiratory tract symptoms in this population and can also detect a response to antibiotic treatment where spirometry cannot.
Why read on?
These data are important for the potential integration of LCI into clinical testing for preschool children with cystic fibrosis.
Lung disease remains the major cause of morbidity and mortality in patients with cystic fibrosis (CF).1 Acute pulmonary exacerbations (PEx) treated with intravenous antibiotics are associated with a faster rate of pulmonary function decline and worse 5-year survival.2–4 Mild exacerbations, treated with outpatient oral antibiotics, are also associated with worse long-term lung function outcomes.5–7 PEx events often present as non-specific worsening of respiratory symptoms, such as increased cough or sputum production, and the decision to treat with antibiotics is commonly supported by a precipitous drop in lung function, typically measured by spirometry and assessed through the forced expiratory volume in one second (FEV1).8 9 Treatment decisions are particularly challenging in young children with CF,10 as increased cough, which is the most common symptom of a PEx in mild CF lung disease,11 is often the result of viral upper respiratory tract infections,12 and spirometry is not routinely performed in this population. The diagnosis and treatment of PEx in young children vary significantly among clinicians13–15; therefore, new objective measures of lung function are needed to aid in the management of PEx events in this population.
The lung clearance index (LCI) is a measure of ventilation inhomogeneity acquired from multiple breath washout (MBW) testing16 and is more sensitive than FEV1 at detecting lung disease in CF.17 18 In particular, LCI measured during the preschool years is predictive of both LCI and FEV1 measured at school age.19 The LCI also improves after treatment with intravenous antibiotics for PEx events, although the response is heterogeneous.20–25 This varied treatment response may be related to the degree of worsening of LCI with symptoms, as has been shown with FEV1.26 27 However, previous studies did not incorporate baseline LCI measurements taken at clinically relevant intervals and did not address this question.
Recently, we reported that lower respiratory tract (LRT) symptoms in preschool children with CF, but not in healthy children, and PEx in CF (defined as increased LRT symptoms treated with antibiotics) were associated with higher LCI values.28 Although these findings provided important information regarding the relationship between clinical symptoms and objective measures of ventilation inhomogeneity, the clinical utility of this test to monitor lung function during PEx and to track response to treatment have yet to be addressed.
In this study, we aim to (1) understand how LCI changes during LRT symptoms relative to a recent clinically stable measurement, (2) determine whether LCI can identify antibiotic treatment response and (3) compare LCI changes to changes in spirometric indices.
This is a prospective multicentre observational study in preschool children with CF and age-matched healthy controls between the ages of 2.5 years and 6 years.28 Children had LCI measured at time points that represent routine clinical follow-up (enrolment, 1 month, 3 months, 6 months, 9 months and 12 months). In the current study, participants with CF were asked to attend extra study visits during episodes of acutely worsened LRT symptoms (increased cough, wheeze, sputum production or shortness of breath) regardless of whether they received antibiotic treatment for these symptoms.
Documentation for all visits, including both study and clinical notes, was reviewed independently by two of the authors (JHR and FR) to classify the visits as symptomatic or asymptomatic based on participant/parent reported symptoms in addition to physical examination. Disagreements between reviewers were discussed, and consensus was achieved in all cases. Symptomatic visits were defined as those where LRT symptoms (cough, wheeze, sputum production or shortness of breath) or signs on physical exam (work of breathing, hypoxaemia, tachypnoea, wheeze, crackles and differential air entry) were judged to be increased from the participant’s baseline. Symptomatic visits were further categorised as PEx events if new oral, inhaled or intravenous antibiotic therapy was initiated by the treating physician at the time of the symptomatic visit (treatment medication and modality were decided by the treating physician).
On some occasions, antibiotic therapy was initiated by the treating physician before the study visit (eg, prescription called in from the clinic or provided by a primary care practitioner). In these cases, the visit was classified as being preceded by an unobserved PEx (uPEx). If the participant attended a study visit while continuing antibiotics that had been prescribed for a uPEx, this visit was categorised both as a treated, symptomatic visit (PEx) and as being preceded by a uPEx. Visits where the participant was on antibiotics prescribed for a uPEx event but had no increased LRT symptoms were excluded from the analysis.
Baseline visits were defined as the most recent asymptomatic visit prior to the study visit. Follow-up visits were defined as the next chronological study visit, regardless of symptom classification. A schematic of visit definitions is shown in online supplementary figure S1.
Supplementary file 1
Multiple breath nitrogen washout testing was performed on the Exhalyzer D (EcoMedics, Dürnten, Switzerland) with modifications for preschool children as previously described.28 LCI was reported if at least two technically acceptable trials were collected at a visit. Acceptability criteria were implemented as previously described.29 Preschool spirometry was performed according to American Thoracic Society/European Respiratory Society guidelines.30 Percent-predicted values and z-scores for FEV1 (or forced expiratory volume in 0.75 s (FEV0.75) if the child was unable to achieve a forced exhalation for 1 s) were calculated using Global Lung Function Initiative reference equations and reported as ppFEV and zFEV, respectively.31
Although treating clinicians were not blinded to the spirometry or MBW results, study results were not routinely shared. Spirometry is occasionally performed in the preschool age group at all sites but not part of routine practice.
Changes between visits in PFT or LCI outcomes are shown as either absolute change, measured in units (eg, a 1.3 LCI unit drop between visits) or as relative change, as a per cent of the preceding measurement (eg, a drop from a ppFEV of 80 % to 70.4% between visits represents a −12% relative change in ppFEV).
All statistical analyses were performed in Stata V.14 (StataCorp, College Station, TX, USA) . Group differences between participants with and without a PEx event during the study were compared using t-tests for normally distributed continuous variables and Wilcoxon rank-sum test for non-normally distributed continuous variables. The change in LCI and zFEV between baseline and symptoms and between symptoms and follow-up were compared with linear regression using generalised estimating equations (GEE) model to account for repeated measurements in the same participant. Sensitivity analyses included only the first symptomatic event for each participant and excluded visits preceded by uPEx events. Participant characteristics associated with the change in LCI between baseline and symptoms and between symptoms and follow-up were also investigated with a linear regression—GEE model.
Based on recently published reproducibility data for LCI and preschool spirometry in this dataset, changes in LCI and zFEV between visits were separated into those that showed a significant change between visits, using relative increase or decrease in LCI of 15% and a decrease of 1.3 z-scores for zFEV.32 Further details are available in the online supplement.
To estimate the treatment effect of antibiotic therapy, the percentage change in LCI between the symptomatic and follow-up visits were compared between treated and untreated visits using propensity score matching analysis (-teffects- and -psmatch- functions in Stata). This approach allows for the estimation of the average treatment effect on the treated group, where the treated and untreated groups are matched for baseline characteristics. Each treated visit was matched with an untreated visit using probabilistic matching based on covariates related to the outcome regardless of their exposure; we included LCI at baseline, the relative change in LCI from baseline and age at symptoms. Sensitivity analysis limited to those visits with a significant worsening of LCI greater than +15%.
Three hundred and seventy-two visits in 78 participants with CF were included in this analysis, of which 104 visits were symptomatic (figure 1, online supplementary figure S2). Of the 78 participants, 62 (79.5%) had at least one episode of increased LRT symptoms over the 12-month period (median events per participant 1 (range 0–7)). The 62 participants who experienced LRT symptoms during the study were similar in demographic characteristics, medical history, medication use and microbiology, to the 16 who did not experience LRT symptoms (table 1).
There were 74 uPEx events reported. Of those, 48 had completed the prescribed treatment course by the study visit and 26 were still taking antibiotics. Of those 26 still taking antibiotics, four reported that their symptoms had completely resolved and were therefore excluded from analysis.
In the 104 symptomatic visits, antibiotic therapy was either continued or initiated by the treating physician in 59 visits (56.7%), while no treatment was given in 45 visits (table 2). Antibiotic therapy was most commonly administered as outpatient oral treatment (81.4%). The time between the baseline visit and symptomatic visit was similar between the treated and untreated group, as was the proportion of visits with incomplete data (table 2). At the symptomatic visits, participants who received antibiotic treatment had a higher LCI (mean difference 0.7 units (95 % CI 0.3 to 1.1)) and lower zFEV (mean difference −0.8 (95% CI −1.1 to −0.6)) than those who did not receive therapy (table 2).
The group changes in LCI from baseline to symptoms and from symptoms to follow-up for treated and untreated visits are presented in figure 2B. LCI increased (deteriorated) with symptoms from baseline values in both the treated and untreated groups; the LCI deterioration was greater for those in whom antibiotic treatment was initiated (mean difference in relative change 12.6% (95%CI 1.9 to 23.3), P=0.02; table 2). At the follow-up visit, the treated group had an improvement in LCI relative to the symptomatic visit, whereas the untreated group did not.
Participants with lower LCI values at baseline had a greater deterioration between baseline and symptoms (slope −5.9 (95% CI −8.8 to −3.0)). Furthermore, a greater relative LCI improvement at follow-up was seen in those participants with a greater worsening of LCI with symptoms (slope −0.5 (95% CI −0.6 to −0.4)). Finally, participants who received antibiotic treatment had a greater relative improvement than those who did not receive antibiotics (−14.1 (95% CI −23.0 to −5.3)). No other participant characteristics were associated with either LCI deterioration with symptoms or LCI improvement at follow-up.
After matching treated participants with untreated participants based on baseline characteristics, there was a significant improvement in LCI observed in the treated group relative to the untreated group (average treatment effect −15.5% (95% CI −25.4 to −5.6)). These results demonstrate that LCI improves with antibiotic treatment, independent of the differences in baseline characteristics between the groups (table 2). The treatment effect was not observed using zFEV or ppFEV. In a subset of visits with a significant worsening of LCI, the magnitude of the LCI treatment effect was similar (average treatment effect −14.2 (95% CI −25.2 to −3.3)). Results were consistent with the main analysis when any visits in which antibiotic therapy was initiated prior to the study visit (uPEx events; n=26) were excluded or if the analysis was limited to the first symptomatic event for each participant (n=53) or to those who only received oral therapy (n=48) (supplementary table S1).
Of the 55 symptomatic visits with both baseline and follow-up measurements, LCI deteriorated by more than 15% in approximately half (28/55; 50.9%); of these, 23 were treated and 5 were untreated. We performed sensitivity analyses limiting to those visits where LCI worsened significantly with symptoms and where both baseline follow-up values were available. In this group, LCI improved at follow-up in 78.3% (18/23) of the treated participants, compared with none (0/5, 0%) of those who were untreated (figure 3).
zFEV decreased during symptoms and improved at follow-up in the treated group (table 2), but there was no change in zFEV across the three visits in the untreated group (figure 2A,). The changes in LCI and zFEV from baseline to symptoms between treated and untreated visits were assessed for the 53 visits in which measurements were available for both LCI and zFEV (figure 4). LCI worsened (>15% percentage change from baseline) in approximately half (26/53, 49.1%) of the visits and zFEV worsened (>1.3 z-score change from baseline) in only 7.4% (8/53) of the visits. Both LCI and zFEV significantly worsened in 7/53 (13.2%) and neither significantly worsened in 26/53 (49.1%) symptomatic visits. LCI worsened alone in 19/53 (35.8%) visits and zFEV worsened alone in only one visit (1.9%). In symptomatic visits where zFEV decreased signicantly, treatment was always given (8/8, 100%), whereas antibiotic treatment was initiated in only three quarters (20/26; 76.9%) of visits where LCI increased significantly.
In this study, we show that the LCI increases relative to a recent clinically stable visit in preschool CF participants with increased LRT symptoms, and the LCI is more sensitive than spirometry in detecting worsening of lung function at the time of increased LRT symptoms. This was seen in participants with untreated symptoms as well as those treated with antibiotics; however, the increase was more pronounced in treated participants. Improvement in the LCI at follow-up was only observed in the treated group, and there was a treatment effect of antibiotic therapy, which was independent of baseline characteristics. Taken together, these data support a potential role for LCI in routine monitoring and clinical decision making for the preschool CF population.
On a group level, the increase in LCI from baseline with the presence of LRT symptoms was greatest in treated symptomatic participants, suggesting that the clinical judgement of ‘severity’ (ie, need for treatment) was reflected by a greater worsening in this objective measure of lung function. However, worsening of LCI on a group level was also observed in symptomatic preschool children in whom the clinical decision was made not to treat, suggesting that LCI could provide additional information to the clinician to aid in treatment decisions. Consistent with the literature demonstrating that LCI is more sensitive than spirometry in detecting pulmonary pathology in CF,17–19 we found that LCI worsened more frequently with LRT symptoms compared with zFEV. LCI identified 19 events with a deterioration from baseline where treatment was initiated, and an additional six where treatment was not initiated; spirometry only identified eight of these events. This suggests that, on a visit-to-visit basis, LCI can provide additional information on interval lung function decline that is not detected by spirometry. In clinical practice, the use of pulmonary function testing results in isolation is unlikely, but the current study supports the concept that LCI could serve as an adjunct to clinical and spirometric assessment in preschool children with CF.
We demonstrate a treatment benefit, as measured by LCI, of antibiotics for LRT symptoms in preschool children with CF. Since this was an observational study, direct comparison of the treated participants with the untreated group was complicated, as the magnitude of LCI worsening was greater in the treated group. The improvements in the treated group may reflect regression to a mean and not necessarily the effect of the antibiotic treatment per se. To address this, we used propensity score matching to estimate the treatment effect of antibiotic treatment while accounting for the differences between the treated and untreated groups in baseline LCI and the magnitude of LCI worsening at the time of symptoms. Propensity score matching is more robust with large sample sizes; therefore, caution in interpreting these results is warranted. Ultimately, a controlled interventional trial is the best strategy to evaluate whether LCI can be used to monitor treatment response to antibiotic therapy.
A number of studies have previously investigated the effect of treatment of PEx on the LCI.20–25 However, the design of the current study differs on a number of fronts. First, we prospectively collected baseline measurements during periods of stability at clinically relevant intervals prior to most PEx events. One previous study did include baseline measurements in its analysis of LCI change with PEx events,25 but the baselines used were annually collected and did not necessarily reflect a recent value. Since we have shown that LCI increases in patients with CF over a 12-month period,28 annual testing may not be sufficient to capture an appropriate baseline for clinical application. In addition, the current study also included symptomatic visits where treatment was not administered. Including this untreated group allowed us to demonstrate the treatment effect of antibiotic therapy and provided important information on the natural history of LCI during and after untreated LRT symptoms. Finally, this study included mostly mild PEx events, treated with outpatient oral antibiotics, which represent the majority of exacerbations in this age group.14 15 Taken together, these results are more applicable for the use of LCI in routine management of mild PEx events than those that were presented in previous studies.
Relative improvement in LCI at follow-up was much greater in this study than previous reports; we report −9.7% relative change at follow-up compared with −2.5% reported by Sonneveld et al, in a pooled analyses of studies.21 This was somewhat surprising since, unlike the previous studies, the majority of our participants had milder exacerbations, treated with outpatient oral antibiotics. The population in the current study differs from previous investigations, with a younger median age and better baseline lung function that may contribute to this finding. We also observed a negative relationship between baseline LCI and the relative increase in LCI, suggesting that participants with milder baseline disease (lower LCI) show a more pronounced increase in LCI when they are symptomatic and greater improvement with treatment. This observation is consistent with the theory that patients with more advanced lung disease show more heterogeneous response in LCI after treatment for a PEx due to shifting mucus plugging and the opening of poorly ventilated lung units.33 34 These data suggest that younger patients with milder disease may benefit more from LCI as a clinical tool in this context than older patients with more severe lung disease in whom the LCI signal is more variable.
Although this study represents a large prospective population, there are several methodological limitations. The overall sample size with complete data is limited, and missing data may not be completely missing at random; both factors may have biased the results from the statistical methods used. While every attempt was made to capture all symptomatic events, those occurring between visits may have been missed, and the number of symptom-free participants may have been overestimated. The definition of terms (eg, LRT symptoms, PEx and baseline) and the lack of prospective collection of symptom duration could also have impacted these results. The lack of standardised PEx definitions8 9 leads to subjectivity in physician decision making. Time to follow-up after the identification of LRT symptoms was not standardised and could have impacted the observed changes at the follow-up timepoint. Preschool spirometry is performed at some of the participating sites, which may have also influenced the decision to initiate treatment. Outcomes were based on unstandardised clinical treatment decisions (antibiotic choice, route and duration), and thus the results may have been confounded by indication. The treatment effect observed in LCI was attributed to antibiotic therapy, but treatment for a PEx will also often include the modification of inhaled medications, aggressive chest physiotherapy and increased compliance with prescribed medications, all which could have contributed to the observed treatment effect. The study focused on preschool children; however, this narrow population characteristic may not be generalisable to older children with CF.
In conclusion, this study provides further evidence for the utility of LCI as a tool for clinical monitoring of young children with CF. While the commercial availability of MBW systems has made the implementation of this technique into clinical practice more feasible, capital costs for equipment, as well as personnel training and results interpretation are operational challenges that will have to be overcome. As we gain more insight into defining a minimal clinically important difference in LCI and how visit-to-visit changes in LCI can be interpreted to guide clinical decisions, MBW testing may become an integral part of the clinical management of young patients with CF.
The authors would like to thank the children and families who participated in this research study, as well as Hailey Webster, Miriam Davis, Robin C Johnson, Renee Jensen, Maria Ester Pizarro, Mica Kane, Charles C Clem and Leah Schornick for their role in recruiting participants, collecting and interpreting the MBW data.
Contributors All authors conceived of the study. SDD, GR-B and FR supervised data collection at their respective sites. JHR and SS analysed the data. JHR drafted the manuscript. All authors reviewed, revised and approved the final manuscript.
Funding This study was funded by the National Heart, Lung, and Blood Institute R01HL116232-04. JHR’s fellowship was funded by Cystic Fibrosis Canada.
Competing interests None declared.
Ethics approval The study was approved by the Research Ethics Boards at the Hospital for Sick Children (REB # 1000036303), Riley Children’s Hospital (1401277863), and the Office of Human Research Ethics at University of North Carolina at Chapel Hill (13-1258).
Provenance and peer review Not commissioned; externally peer reviewed.
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.