Abstract
Background.
The spirometric response to standard-of-care (SOC) immunosuppressive therapy for the management of bronchiolitis obliterans syndrome (BOS) has been sparsely reported in the literature. Data from a Medicare-approved Registry were analyzed to characterize the effectiveness/durability of a wide range of SOC interventions to manage the decline of lung function and to validate the study spirometric criteria for initiation of rescue therapy.
Methods.
Lung transplant recipients with refractory BOS at 21 US collaborating centers were enrolled in the Registry. Data included both nonspirometric (eg, demographic, Immunosuppressive Regimens for management of BOS) and spirometric parameters (ie, forced expiratory volume in 1 s [FEV1] measurements and derived indices). The utility of study FEV1 criteria for treatment (ie, statistically significant rate of FEV1 decline >30 mL/mo) was evaluated by comparing the spirometric course between participants who met or did not meet this criterion.
Results.
Only 21% of participants treated with SOC therapy had >50% decrease (76 ± 25% decrease) in the rate of FEV1 decline. Although 51% of participants had a partial response (rate of FEV1 decline decreased on average 71%), 49% of participants had a substantial increase (mean increase 224%). The FEV1 criterion for treatment was able to identify 19% of participants (48/258) who achieved durable stabilization (ie, nonsignificant rate of FEV1 <30 mL/mo) with SOC therapy.
Conclusions.
Patients with BOS have a widely variable response to SOC therapy. Our findings support the use of FEV1 rate of decline to assess response to SOC therapy and to ensure appropriate assignment of participants with refractory BOS to rescue therapy treatment cohorts.
INTRODUCTION
Chronic lung allograft dysfunction represents the leading cause of morbidity and mortality in recipients of lung allografts beyond the first year,1 with an annual incidence of 7%–8% in the first 10 y after transplantation,2 despite routine usage of multiagent immunosuppressive regimens. The obstructive form of chronic lung allograft dysfunction, bronchiolitis obliterans syndrome (BOS), results in an obstructive ventilatory defect due to an irreversible fibro-proliferative immune-mediated process, which results in progressive narrowing of bronchial lumens.3 Although early studies reported a mortality rate of 51%–54% within 3 y after BOS diagnosis,4,5 a more recent analysis involving more than several thousand patients outlined median survival of 2.6–3.1 y versus 3.1–4.3 y for single versus bilateral lung transplant recipients, respectively.6
Although several single-center retrospective analyses have described the course of the rate of decline of lung function in this population with BOS treated with extracorporeal photopheresis (ECP),7-9 prospective data on spirometric outcomes remain sparse. After approval from US Centers for Medicare and Medicaid (CMS) in 2014,10 we launched a prospective, multicenter Registry (ie, hereafter referred to as Registry) under the auspices of Medicare’s Coverage and Evidence Development program. The Registry component of this CMS-approved study achieved its target enrollment of 258 participants in April 2022.11 The main focus of the Registry was to document the spirometric outcomes of patients treated with ECP, which will be submitted subsequently as a separate article for peer review.
Randomized controlled trials (RCTs) are the established gold standard for validation of effective therapeutic interventions, but the feasibility of such studies in lung transplant recipients with BOS is challenging. Medicare subsequently approved expansion of the study to include an RCT component based on the lack of a standard-of-care (SOC) comparator for the Registry and our early findings.12
Therefore, our study team is considering the following 2 initiatives: (1) generation of a SOC comparator for the Registry via retrospective collection of data from our 21 enrolling sites and/or (2) reinitiation of a revised RCT that is restructured to enhance feasibility with a robust spirometric biomarker of survival. Both of these approaches should conclusively confirm that the previous observations of a change in rate of FEV1 decline after ECP were in fact due to the effect of ECP rather than to other factors.
Hypothesis generation and study design for randomized and nonrandomized comparative studies would benefit from robust characterization of the natural history of patients who receive SOC immunosuppressive therapy to manage BOS. Accordingly, there is a paucity of published data that characterizes the response to a diverse array of SOC immunosuppressive regimens that are used to manage BOS and that formally validate the use of specific Spirometric Criteria for treatment of BOS refractory to SOC agents. Spirometric Criteria for treatment of refractory BOS (ie, a statistically significant rate of FEV1 decline that exceeds 30 mL/mo) within the Registry were based on a previous analysis13 to facilitate achievement of major advantages cited by the Food and Drug Administration14: (1) increased study efficiency and (2) an enhanced benefit-risk relationship for the patients compared with overall population.
Although a preliminary analysis supported the use of these criteria,12 this analysis was limited to data from 44 enrolled participants.
To address these issues, this analysis was initiated to assess the suitability of our published Spirometric Criteria to (1) augment the clinical definition of BOS refractory to SOC therapy using the entire data set (n = 258) and (2) also describe the observed outcomes of SOC therapy in a subset of enrolled patients with refractory BOS by comparing spirometric data before and after initiation of SOC therapy, with the goal of aiding researchers in developing comparative studies of new therapies for BOS.
MATERIALS AND METHODS
Registry
This CMS-approved, multicenter Registry involved enrollment of Medicare-covered lung allograft recipients from April 2015 to April 2022 who were eligible to be treated with ECP if BOS was refractory to conventional SOC therapy based on the study Spirometric Criteria.11 This study protocol (NCT 02181257) was initially approved by the Washington University Human Research Protection Office and subsequently by all local institutional review boards at each of 21 enrolling centers. Informed consent was obtained from all participants.
Diagnosis of BOS and Refractory BOS
Participants enrolled in this study received prophylactic standard immunosuppressive therapy as dictated by local practices at enrolling institutions. Pulmonary function was monitored by serial spirometry after lung transplant in accordance with guidelines issued by the American Thoracic Society.15 BOS diagnoses were rendered using clinical criteria predicated on FEV1 values (ie, >20% reduction from baseline, posttransplant values) as defined by the International Society for Heart and Lung Transplantation.16
Clinicians at enrolling sites had full discretion to manage BOS with any currently available therapy and/or to augment or change the current immunosuppressive regimen (ie, discontinue any current agents or either add or replace with alternative agents) after diagnosis of BOS under their local practice. Refractory BOS was defined as a progressive decline in FEV1 unresponsive to all local interventions as determined by the enrolling investigator.
Study enrollees, who were followed clinically and with spirometry, were eligible to be treated with ECP if BOS was refractory to SOC therapy predicated on previously defined12,13 study FEV1 Spirometric Criteria (ie, hereafter referred to as FEV1 criteria) specifically defined as a statistically significant (P < 0.05) FEV1 rate of decline >30 mL/mo over a period of 6 to 9 mo prior to enrollment.11
The data in this report include spirometry data (1) for patients who did not receive ECP therapy and (2) for patients who were subsequently treated with ECP therapy (ie based on attainment of the defined FEV1 criteria); however, only FEV1 values obtained during the preceding period of time when they were only receiving SOC therapy were used.
Registry Study Design
Assessment of FEV1 Criteria for Treatment of Refractory BOS
To evaluate the utility of the FEV1 criteria for treatment of refractory BOS with ECP, cohorts were generated on the basis of whether the FEV1 criteria cutoff (>30 mL/mo, P < 0.05) was met either at enrollment (AE) or post-enrollment (PE) and these FEV1 criteria cohorts were compared using the following analytic approaches.
Assessment of the Spirometric Course After SOC Therapy
Enrolled participants were included on the basis of sequential application of the following criteria (this approach was used to facilitate the availability of an adequate number of FEV1 to be obtained after BOS diagnosis, at least 4, and to provide a more accurate assessment of the impact of SOC therapy within the 9-mo period based on a multivariate analysis which revealed that response to SOC was not influenced by the time interval from BOS diagnosis to first ECP when it was limited to <9 mo):
Limiting the interval between BOS diagnosis and enrollment to <9 mo.
Limiting the interval of the last measured FEV1 to within 2 d after the first ECP treatment. To prevent a potential confounding effect of ECP treatment, the time period between the last FEV1 value and first ECP treatment was limited to within 2 d after the first ECP treatment (only 2 participants had FEV1 values after the first ECP treatment: at day 1 and day 2 after ECP).
To permit precise estimation of the rate of FEV1 decline, at least 4 FEV1 values 6 mo before and after the diagnosis of BOS were required.
Data Included in the Analyses
Nonspirometric Data
Demographic: age and sex
Pretransplant primary pulmonary diagnosis
Operative procedural factors: single versus double lung transplant and heart-lung transplant
BOS stage AE
Immunosuppressive treatment regimen(s) used for maintenance and/or for active management of BOS
Enrolling site as a separate covariate
Spirometric Data
FEV1 data used for analysis were recorded at the following time periods predicated on the availability of measurements: at baseline (as defined by ISHLT guidelines), at BOS diagnosis, before enrollment and AE, and after BOS diagnosis up to 2 d after the first ECP treatment.
Spirometric Indices
Indices were generated using FEV1 values as follows: percentage of baseline FEV1 values, difference in FEV1 values, difference in percentage of baseline FEV1 values, and FEV1 rate of decline (FEV1 versus time slopes using linear regression) were calculated at the following time periods:
At BOS diagnosis: with at least 4 FEV1 values obtained 6 mo before BOS, inclusive of values used for BOS diagnosis.
AE: with at least 5 FEV1 values obtained from up to 9 mo before enrollment.
After BOS diagnosis: with at least 5 FEV1 values obtained between BOS diagnosis and the first ECP treatment (ie, with the last FEV1 within 2 d of the first ECP treatment).
Characterization of the Effect of SOC Therapy After BOS Diagnosis With Regression-derived FEV1 Versus Time Slopes
Quantification of the Impact of SOC Therapy
The impact of SOC therapy on the spirometric progression of BOS was quantified using the change in regression slope (FEV1 versus time) trajectory between the before (pre) and after (post) BOS periods using the following 2 mathematical conventions:
Slope difference values: the difference in slope values (ie, FEV1 versus time) obtained after (post-BOS) BOS diagnosis, for example, up to 2 d after the first ECP treatment, and FEV1 slope values obtained before (pre-BOS) BOS diagnosis (slopepost-BOS – slopepre-BOS).
Slope percent change values (% change): the aforementioned slope difference values were adapted by dividing the slope difference values by the pre-BOS slope values and then multiplying by 100.
Categorization of Response to SOC Therapy
Response to SOC therapy was categorized using the following 2 definitions:
Partial response was defined as any decrease in the rate of FEV1 decline, as defined as a positive numeric value obtained from the difference between rate of FEV1 decline slopes at as follows: BOS diagnosis slope subtracted from slope at the first ECP treatment.
Fifty percent response was defined as a cutoff of >50% reduction in the rate of FEV1 decline in participants with a positive difference value (first ECP – BOS).
Statistical Methods
Chi-square and Fisher exact tests were used to compare categorical variables. Either the 2-sample Wilcoxon rank-sum test or 1-way ANOVA was used for comparison of continuous variables at ≥1 time period. In circumstances where there were missing data, the number of data points for each condition was included when mean values were described in tables.
Univariate linear regression was used to evaluate the degree and trajectory of decline in lung function via generation of FEV1 versus time (slope) values using time (independent variable) and FEV1 values (dependent variable) at several different time periods predicated on the availability of spirometry results based on the respective, aforementioned criteria.
Multivariate linear and logistic regression analyses were performed to potentially identify variables associated with response to SOC therapy. A stepwise elimination process was used for multivariate models that involved 2 steps for sequential removal of covariates based on (1) the level of significance (ie, the covariate with the highest nonsignificant P value that exceeded 0.05 until all remaining variables were significant at the P < 0.05.) and (2) collinearity assessment using a variance inflation factor analysis was used to characterize the degree of collinearity (ie, values with high variance inflation factor values of >2 were considered for preferential removal). Statistical analyses were performed using Stata version 14 software (StataCorp, College Station, TX).
RESULTS
Of 258 patients enrolled in the ECP Registry Study, 158 met FEV1 criteria AE, whereas 100 did not meet FEV1 criteria (see Figure 1). An additional 52 participants met FEV1 criteria PE.
FIGURE 1.
Enrollment into the Registry. At enrollment, participants were segregated on the basis of FEV1 criteria (ie, <–30 mL/mo, P<0.05). Participants were then segregated on the basis of meeting (AE FEV1 criteria met) vs not meeting (AE FEV1 criteria not met) FEV1 criteria AE. Similarly, participants who initially did not meet AE FEV1 criteria were segregated on the basis of either meeting (PE FEV1 criteria met) vs not meeting FEV1 criteria PE (PE FEV1 criteria not met). AE, at enrollment; FEV1, forced expiratory volume in 1 s; PE, post-enrollment.
Demographics, Indication for and Type of Lung Allograft Transplantation, and BOS Stage AE
Demographic and primary disease indication for transplant were similar between the 2 FEV1 criteria cohorts AE (Table 1). A higher percentage of participants who met FEV1 criteria received a double lung transplant. A substantial percentage of participants were in advanced BOS stages (stage II/III: 74%) AE with a higher percentage observed in participants meeting FEV1 criteria (80% versus 4% in stage II/III in those meeting and not meeting FEV1 criteria, respectively, P < 0.001). Similarly, a higher percentage of participants who initially met treatment criteria AE received a double lung transplant and were in a more advanced stage (Table 2).
TABLE 1.
Demographics, indications for transplant, type of transplant, and BOS staging AE
| All participants (N = 255/258) | FEV1 criteria met AE/PE (N = 210) |
FEV1 criteria not met AE/PE (N = 45) |
P | |
|---|---|---|---|---|
| Age, y | 65 (58/70) | 65 (58/70) | 67 (62/70) | 0.38 |
| Sex | ||||
| Male | 62 | 62 | 60 | |
| Female | 38 | 38 | 40 | 0.87 |
| Pretransplant diagnosis | ||||
| Interstitial lung disease | 36 | 38 | 31 | |
| COPD | 25 | 26 | 20 | |
| Idiopathic pulmonary fibrosis | 15 | 13 | 22 | |
| Cystic fibrosis | 7 | 8 | 2 | |
| α-1-antitrypsin deficiency | 4 | 4 | 4 | |
| Repeat lung transplant | 2 | 1 | 2 | |
| Bronchiectasis | 2 | 2 | 2 | |
| Pulmonary hypertension | 1 | 1 | 0 | |
| Sarcoidosis | 1 | 1 | 0 | |
| Pulmonary venous occlusive disease | 1 | 1 | 0 | |
| Othera | 6 | 4 | 15 | 0.22 |
| Type of transplant (n = 253) | ||||
| Bilateral lung | 79 | 82 | 66 | |
| Single lung | 21 | 18 | 34 | 0.02 |
| BOS stageb | ||||
| 1 | 21 | 19 | 3 | |
| 2 | 35 | 37 | 25 | |
| 3 | 39 | 43 | 22 | <0.001 |
Categorical data are expressed as percentage or mean (SD), whereas continuous variables are expressed as median and interquartile range. Data are summarized in all participants and in participants who met or did not meet FEV1 criteria (statistically significant rate of FEV1 decline <–30 mL/mo) AE or PE
Other indications included the following: CREST syndrome, eosinophilic granulomatous disease, hypersensitive pneumonitis, Langerhans cell histiocytosis, lymphangiomyomatosis, nonspecific interstitial pneumonia, primary ciliary dyskinesis, scleroderma, diabetes mellitus, usual interstitial pneumonia, and aspergilloma.
Comparison in 245 participants who were stage 1 or greater.
AE, at enrollment; BOS, bronchiolitis obliterans syndrome; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 s; PE, post-enrollment.
TABLE 2.
Demographics, indications for transplant, type of transplant, and BOS staging AE in participants who met FEV1 criteria at AE vs PE
| All participants (N = 258) | FEV1 criteria met AE (N = 158) |
FEV1 criteria met PE (N = 52) |
P | |
|---|---|---|---|---|
| Age, y | 65 (58/70) | 65 (57/69) | 67 (60/71) | 0.14 |
| Sex | ||||
| Male | 62 | 62 | 60 | |
| Female | 38 | 38 | 40 | 0.87 |
| Pretransplant diagnosis (255/258) | ||||
| Interstitial lung disease | 36 | 39 | 33 | |
| COPD | 25 | 27 | 23 | |
| Idiopathic pulmonary fibrosis | 15 | |||
| Cystic fibrosis | 7 | 7 | 10 | |
| α-1-antitrypsin deficiency | 4 | 4 | 6 | |
| Repeat lung transplant | 2 | 2 | 0 | |
| Bronchiectasis | 2 | 3 | 2 | |
| Pulmonary hypertension | 1 | 1 | 4 | |
| Sarcoidosis | 1 | 1 | 2 | |
| Pulmonary venous occlusive disease | 1 | 1 | 0 | |
| Othera | 6 | 4 | 6 | 0.69 |
| Type of transplant (n = 253) | ||||
| Bilateral lung | 79 | 86 | 71 | |
| Single lung | 21 | 14 | 29 | 0.02 |
| BOS stageb | ||||
| 1 | 21 | 13 | 35 | |
| 2 | 35 | 37 | 37 | |
| 3 | 39 | 48 | 29 | 0.003 |
Categorical data are expressed as percentage or mean (SD), whereas continuous variables are expressed as median and interquartile range. Data are summarized in all participants and in participants who met or did not meet FEV1 criteria (statistically significant rate of FEV1 decline <–30 mL/mo) AE or PE.
Other indications included the following: CREST syndrome, eosinophilic granulomatous disease, hypersensitive pneumonitis, Langerhans cell histiocytosis, lymphangioliemyomatosis, nonspecific interstitial pneumonia, primary ciliary dyskinesis, scleroderma, diabetes mellitus, usual interstitial pneumonia, and aspergilloma.
Comparison in 245 participants who were stage 1 or greater.
AE, at enrollment; BOS, bronchiolitis obliterans syndrome; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 s; PE, post-enrollment.
Maintenance Immunosuppressive Regimens and SOC Changes at BOS Diagnosis
Maintenance immunosuppressive therapy regimens up to the time of BOS diagnosis are summarized in Table 3. A variable distribution of 18 different immunosuppressive regimens was observed that involved various combinations of 7 agents. Eighty-six percent of participants received azithromycin, with a similar percentage of participants between the 2 FEV1 criteria cohorts.
TABLE 3.
Regimens used for maintenance immunosuppression before BOS diagnosis
| Maintenance immunosuppression | All participants (N = 255/258) | FEV1 criteria met AE/PE (N = 210) |
FEV1 criteria not met AE/PE (N = 45) |
|---|---|---|---|
| Prednisone, tacrolimus, mycophenolate | 122 (47%) | 104 | 18 |
| Prednisone, tacrolimus | 33 (13%) | 25 | 8 |
| Prednisone, tacrolimus, azathioprine | 29 (11%) | 25 | 4 |
| Prednisone, tacrolimus, sirolimus | 14 (5%) | 14 | 0 |
| Prednisone, mycophenolate, CSA | 13 (5%) | 10 | 3 |
| Prednisone, tacrolimus, mycophenolate, sirolimus | 10 (4%) | 8 | 2 |
| Prednisone, everolimus, tacrolimus | 8 (3%) | 5 | 3 |
| Prednisone, CSA | 4 (2%) | 4 | 0 |
| Prednisone, tacrolimus, mycophenolate, everolimus | 5 (2%) | 3 | 2 |
| Tacrolimus, mycophenolate | 3 (1%) | 3 | 0 |
| Prednisone, tacrolimus, mycophenolate, azathioprine | 3 (1%) | 2 | 1 |
| Prednisone, tacrolimus, azathioprine, sirolimus | 2 (1%) | 1 | 1 |
| Prednisone, sirolimus, mycophenolate | 2 (1%) | 1 | 1 |
| Prednisone, CSA, sirolimus | 2 (1%) | 1 | 1 |
| Prednisone, tacrolimus, azathioprine, everolimus | 1 (0.5%) | 1 | 1 |
| Prednisone, sirolimus | 1 (0.5%) | 1 | 0 |
| Prednisone, mycophenolate, CSA, sirolimus | 1 (0.5%) | 1 | 0 |
| Prednisone, mycophenolate | 1 (0.5%) | 1 | 0 |
| Azithromycin use | 219 (86%) | 177 (84%) | 42 (93%) |
| Antithymocyte globulin use | 3 (1%) | 3 (1%) | 0 (0%) |
Data are expressed as number (%). Data are summarized in all participants and in participants who met or did not meet FEV1 criteria (statistically significant rate of FEV1 decline <–30 mL/mo) AE or PE.
AE, at enrollment; BOS, bronchiolitis obliterans syndrome; CSA, cyclosporine A; FEV1, forced expiratory volume in 1 s; PE, post-enrollment.
Changes in ≥1 of 11 agents used for active management of BOS (eg, azithromycin, antithymocyte globulin, adding of another agent, or increases in steroid dose) are summarized in Table 4. The most common change involved an increase in the prednisone dose in 96% of participants, followed by the use of azithromycin and antithymocyte globulin in 83% and 35% of participants, respectively. The number of additional agents added involved 1–4 agents, 36%–1%, respectively, whereas 1 versus ≥4 were deleted, 21%–3%, respectively.
TABLE 4.
Changes in immunosuppression usage to manage BOS
| Immunosuppression agents | Before BOS (N = 253/258) | After BOS Dx (N = 248/258) |
|---|---|---|
| Prednisone | 234 (94%) | 234 (94%) |
| Prednisone dose (mg QD) | 8.8 (7.3) | 19 (22.3) |
| Tacrolimus | 231 (91%) | 203 (79%) |
| Sirolimus | 33 (13%) | 39 (15%) |
| Everolimus | 16 (6%) | 16 (6%) |
| Azathioprine | 45 (17%) | 36 (14%) |
| Cyclosporine A | 20 (8%) | 19 (7%) |
| Methotrexate | 1 (0.5%) | 2 (1%) |
| Mycophenolate | 160 (63%) | 163 (63%) |
| No. of agents added | ||
| Nonea | 137 (53%) | |
| 1 | 93 (36%) | |
| 2 | 19 (7%) | |
| 3 | 5 (2%) | |
| 4 | 3 (1%) | |
| No. of agents deleted | ||
| Nonea | 154 (60%) | |
| 1 | 55 (21%) | |
| 2 | 26 (10%) | |
| 3 | 15 (6%) | |
| ≥4 | 7 (3%) | |
| Antithymocyte globulin | 3 (1%) | 89 (35%) |
| Alemtuzumab | 0 | 15 (6%) |
| Azithromycin use | 219 (86%) | 214 (83%) |
Limited to a change in steroid dose.
BOS, bronchiolitis obliterans syndrome; Dx, diagnosis.
Spirometric Analyses
FEV1 and Derived Values at Various Periods Between Cohorts
Table 5 summarizes FEV1 values in all participants and within each FEV1 criteria cohort (as previously defined) at 5 time points (ie, at baseline, at BOS diagnosis, AE, and at the first ECP treatment) while the rate of FEV1 decline was also summarized AE. Mean FEV1 values at first screening were lower, whereas mean FEV1 values AE were slightly higher in participants who never met FEV1 criteria (ie, those participants who stayed in observation and did not initiate treatment) compared with participants who met FEV1 criteria AE. These findings can be explained by the substantially lower (ie, less negative values of –37 mL/mo) rates of FEV1 decline that were observed in participants who did not meet FEV1 criteria AE and to a greater extent (ie, mean FEV1 value of 0.5 mL/mo) in participants who never met FEV1 criteria when compared with participants who did meet FEV1 criteria AE (ie, mean FEV1 value of –132 mL/mo).
TABLE 5.
Spirometry values at BOS diagnosis and AE between criteria cohorts
| Time periods | FEV1 measurements and indices | |||
|---|---|---|---|---|
| All participants (N = 258) |
AE FEV1 criteria met (N = 158) | AE FEV1 criteria not met (N = 100) |
||
| PE FEV1 criteria met (N = 52) |
PE FEV1 criteria not met (N = 48) |
|||
| Baselinea after transplantation | ||||
| FEV1 | 2.7 ± 0.8 | 2.8 ± 0.8 | 2.7 ± 0.9 | 2.6 ± 0.8 |
| (n = 254) | (n = 157) | (n = 52) | (n = 45) | |
| BOS diagnosis | ||||
| FEV1b | 1.9 ± 0.6 | 1.9 ± 0.6 | 1.8 ± 0.6 | 1.9 ± 0.5 |
| % Baseline | 69 ± 11 | 69 ± 11 | 66 ± 13c | 70 ± 10 |
| (n = 251) | (n = 156) | (n = 52) | (n = 43) | |
| AE | ||||
| First screening FEV1 | 1.9 ± 0.7 | 2.1 ± 0.7 | 1.7 ± 0.6c | 1.7 ± 0.6c |
| FEV1 AE | 1.5 ± 0.5 | 1.4 ± 0.5 | 1.5 ± 0.6 | 1.6 ± 0.6b |
| % Baseline FEV1 AE | 54 ± 15 | 51 ± 14 | 57 ± 13b | 63 ± 16b |
| FEV1 rate of decline, mL/mo | –88 ± 104 | –132 ± 108 | –37 ± 48c | 0.5 ± 31c,d |
| PE at 1st ECPe | ||||
| FEV1 | 1.4 ± 0.5 | 1.4 ± 0.5 | 1.4 ± 0.6b | |
| (n = 100) | (n = 90) | (n = 10) | ||
Data are expressed as mean ± SD. Data are summarized in all participants and in participants who met or did not meet FEV1 criteria (rate of FEV1 decline <–30 mL/mo and P < 0.05) AE or PE.
Baseline is defined as the average of the 2 highest values after transplantation.
P < 0.05 when compared with FEV1 criteria met AE cohort.
P < 0.0001 when compared with FEV1 criteria met AE cohort.
P < 0.0001 when compared with FEV1 criteria PE cohort.
Criteria used to identify a subset of participants who met FEV1 criteria (n = 196) for this comparison are as follows:
1. Interval between BOS diagnosis and enrollment <9 mo (n = 116; time from BOS to enrollment = 110 ± 65 d).
2. Enrollment slope <–30 mL/mo (n = 113) and P < 0.05.
3. At least 4 FEV1 values 6 mo before and after BOS Dx (n = 100).
Comparisons of FEV1 values and indices were not significant when the study site was factored into the comparison, except for the comparison of FEV1 % baseline between participants who met treatment criteria between AE vs PE (cell at row 9, fourth column from left).
AE, at enrollment; BOS, bronchiolitis obliterans syndrome; FEV1, forced expiratory volume in 1 s; PE, post-enrollment.
Evaluation of the Trajectory of FEV1 Rate of Decline Between Cohorts
To characterize the severity of BOS between cohorts before and after BOS diagnosis, the trajectory of FEV1 rate of decline after BOS diagnosis was compared in a subset of participants (n = 113) between the FEV1 criteria assignment cohorts (ie, those who met or did not meet FEV1 criteria, either AE or PE). Table 6 summarizes linear regression output (ie, slope and R2 values) for the FEV1 versus time relationship at each of 3 time points: at BOS diagnosis, AE, and after BOS diagnosis up to 2 d after the first ECP treatment. Based on the observed FEV1 rates of decline in both Tables 5 and 6 and as illustrated in Figure 2, participants who met FEV1 criteria had a more aggressive disease state that tended to accelerate after SOC therapy in the majority of participants (ie, trend observed for higher rates of decline at first ECP treatment, P = 0.057). The rate of decline in FEV1 was attenuated by SOC therapy in both subcohorts of participants who did not meet FEV1 criteria AE, with a greater reduction in the subcohort who did not meet FEV1 criteria PE, 81% versus 42% decrease, respectively. Accordingly, the response in the subcohort who met FEV1 criteria PE was not durable in approximately 43% (ie, 10/23 included in the analysis) of participants who did not meet FEV1 criteria AE.
TABLE 6.
Comparison of the rate of FEV1 decline at 3 time points in a subset of participants (N = 113)
| Participants who met FEV1 criteria at either AE or PE | FEV1 criteria met AE | FEV1 criteria not met AE | ||
|---|---|---|---|---|
| FEV1 criteria met PE (N = 52) |
FEV1 criteria not met PE (N = 48) |
|||
| Subset of participants included that met specific criteriaa | (n = 100/196) | (n = 90/158) | (n = 10/52) | (n = 13/48) |
| Time periods | ||||
| At BOS Dx | ||||
| FEV1 rate of decline | –136 ± 109 | –138 ± 113 | –116 ± 57 | –72 ± 59 |
| R2 value | 0.72 ± 0.25 | 0.75 ± 0.22 | 0.48 ± 0.37b | 0.56 ± 0.32 |
| AE | ||||
| FEV1 rate of decline | –145 ± 116 | –153 ± 118 | –67 ± 40b | –14 ± 29b |
| R2 value | 0.78 ± 0.18 | 0.82 ± 0.12 | 0.39 ± 0.20b | 0.13 ± 0.13b |
| At 1st ECP | ||||
| FEV1 rate of decline | –173 ± 218c | –182 ± 226 | –88 ± 79 | –1 ± 25b |
| R2 value | 0.73 ± 0.29 | 0.76 ± 0.27 | 0.46 ± 0.3b | 0.28 ± 0.28b |
Linear regression-derived values (slope and r2 values) from FEV1 vs time relationship are summarized at 3 time periods (ie, at BOS Dx, AE, and between BOS Dx and within 2 d of the first ECP treatment). Data summarized in participants who met (n = 100) or did not meet (n = 13) FEV1 criteria (rate of FEV1 decline <–30 mL/mo and P < 0.05) AE or PE.
Inclusion of participants in this analysis was predicated on meeting the following criteria: participants in whom spirometry results were available and the period between BOS Dx and enrollment was restricted to <9 mo (ie, based on multivariate analysis that revealed that response to SOC was not influenced by time from BOS Dx to first ECP when it was limited to <9 mo).
Slopes (mL/mo) and R2 values are expressed as mean ± SD.
Criteria used to identify a subset of participants who met FEV1 criteria (n = 196) for this comparison as follows:
1. Interval between BOS diagnosis and enrollment <9 mo (n = 116; time from BOS to first ECP treatment = 126 ± 67 d).
2. Enrollment slope <–30 mL/mo (n = 113) and P < 0.05.
3. At least 4 FEV1 values 6 mo before and after BOS Dx (n = 100).
Participants who did not meet FEV1 criteria (n = 48) but who did meet the criterion (3) as described above (n = 13).
P < 0.05 when compared with the cohort who met FEV1 criteria AE.
P = 0.057 when compared with the rate of FEV1 decline at BOS Dx.
AE, at enrollment; BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s; PE, post-enrollment; SOC, standard of care.
FIGURE 2.
Box whisker plots showing the rate (mL/mo) of FEV1 decline in participants who met criteria obtained at 3 separate time points (BOS Dx, AE, and within 2 d after the first ECP treatment), with values expressed as mean and SD detailed at the bottom of the graph. AE, at enrollment; BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s.
Spirometric Characterization of “Response” to SOC therapy
Categorization of the Effect of SOC Therapy After BOS Diagnosis
Tables 6 and 7 details an analysis from a subcohort of 116 participants who met the following criteria: (1) enrollment within 9 mo of BOS diagnosis and (2) availability of requisite data for evaluation of the course of FEV1 rate of change over time between BOS diagnosis and up to 2 d after the first ECP treatment. In the entire subset series (n = 116) with a partial response, some improvement was observed in 51% of participants with slope difference and % change values (79 mL/mo, –71%, respectively). However, the remaining 49% (all participants who met FEV1 criteria) with a partial response had a profound increase in the rate of FEV1 decline (–150 mL/mo, a 224% increase).
TABLE 7.
Characterization response to SOC treatment based on the change in FEV1 rate of decline
| All participants who met FEV1 criteria at either AE or PE (n = 116/210) | Participants who met FEV1 criteria AE (n = 103/158) |
Participants who met FEV1 criteria PE (N = 13/52) |
||||
|---|---|---|---|---|---|---|
| Partial response | Yes | No | Yes | No | Yes | No |
| Any decrease in FEV1 rate of decline with SOC treatment, % | 51% | 49% | 49% | 51% | 69%a | 31% |
| Slope at BOS Dx | –155 ± 96 | –114 ± 115a | –158 ± 103 | –119 ± 117 | –136 ± 38 | –46 ± 25a |
| Slope at 1st ECPb | –75 ± 58 | –261 ± 258a | –80 ± 61 | –269 ± 265a | –49 ± 27 | –148 ± 96a |
| Difference in slope (1st ECP – BOS) | 79 ± 69 | –150 ± 194a | 78 ± 74 | –154 ± 201a | 87 ± 26 | –101 ± 75a |
| % Change in slope (1st ECP – BOS) |
–71 ± 157 | 224 ± 463a | –72 ± 170 | 223 ± 479a | –66 ± 16 | 244 ± 156a |
| 50% response | ||||||
| >50% decrease in FEV1 rate of decline (%) | 25% | 75% | 21% | 79% | 54%a | 46% |
| Slope at BOS Dx | –161 ± 119 | –124 ± 100 | –169 ± 134 | –128 ± 102 | –136 ± 42 | –76 ± 51a |
| Slope at 1st ECP | –46 ± 55 | –204 ± 222a | –48 ± 62 | –210 ± 228a | –40 ± 23 | –125 ± 83a |
| Difference in slope (1st ECP – BOS) | 115 ± 77 | –80 ± 184a | 121 ± 87 | –83 ± 188a | 96 ± 21 | –49 ± 100a |
| % Change in slope (1st ECP – BOS) |
–115 ± 217 | 133 ± 390a | –129 ± 250 | 132 ± 401a | –72 ± 9 | 149 ± 190a |
| Time BOS Dx to 1st ECP Rx, mo | 5.3 ± 2.3 | 4.0 ± 2.0a | 4.8 ± 2.3 | 4.0 ± 2.0 | 6.6 ± 1.7 | 3.5 ± 1.8a |
FEV1 rate of decline (slope) values (mL/mo) and difference/percent change in slope values expressed as mean ± SD.
Response to SOC therapy is characterized and defined by the 2 categories:
1. Partial response: defined as a positive difference value when the rate of FEV1 change (slope) measured at BOS is subtracted from the rate of FEV1 change (slope) measured using FEV1 values from enrollment to first ECP.
2. 50% response: in participants with a positive difference value (first ECP – BOS) as described above, 50% response is defined as >50% reduction in the rate of FEV1 decline.
Time period from BOS Dx to first ECP treatment: AE FEV1 criteria met (4.1 ± 2.1 mo) vs PE FEV1 criteria were met (5.2 ± 2.3 mo).
P < 0.05 when compared between response and nonresponse participants.
bRepresents slopes generated within 2 d of the first ECP treatment (only 2 participants had FEV1 values obtained after the first ECP treatment, 1 at 1 d and the second after 2 d.
AE, at enrollment; BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s; PE, post-enrollment; SOC, standard of care.
Approximately 49% of participants who met FEV1 criteria AE demonstrated a partial response (see Table 6, third data column from left), in contrast to 69% of participants who met FEV1 criteria PE (Table 7, fifth data column from left). Similarly, 54% of participants who met FEV1 criteria PE, when compared with only 21% of participants who initially met FEV1 criteria AE, attained a 50% response (ie, 50% decrease in the rate of FEV1 decline). Overall, in all participants who met FEV1 criteria AE or PE, a 133% increase (–80 mL/mo) was observed in 75% of the participants who did not sustain a 50% response (see Table 7). Nevertheless, approximately 19% (48/258) of all enrolled participants did not meet FEV1 criteria AE or PE, which suggests that at least a small subset of participants may have achieved a reasonable degree of stabilization by SOC therapy.
Figure 3 graphically illustrates these findings by plotting the change in slope difference values (first ECP – BOS diagnosis along the y-axis) relative to the initial rate of FEV1 decline at BOS diagnosis (x-axis); positive slope difference values (that are above the green horizontal line along y-axis) in this figure reflect a “partial response” (positive values). This graph specifically facilitates direct comparison of the spirometric response to SOC therapy (ie, via the slopes of the predicted linear regression lines) within each of the 2 subcohorts involving participants who met FEV1 criteria, either AE (black circles) or PE (red triangles). Figure 4 shows the linear relationship between the % change in FEV1 slopes (y-axis) versus the time from BOS diagnosis to the first ECP treatment (x-axis); the inverse relationship depicted in this graph suggests that clinicians most likely sped up enrollment and treatment for participants who had spirometric evidence of aggressive disease (participants who met FEV1 criteria AE with greater rates of FEV1 decline). Figures 5 and 6 illustrate the change in FEV1 versus time at BOS diagnosis (left side) versus at first ECP treatment (right side) for individual participants, in “nonresponders” and “responders,” respectively. No agent or combination of agents had an association with either FEV1 values (percent change or difference values) or any (partial response) or 50% decrease (50% response) in the rate of FEV1 decline via multivariate linear or logistic regression, respectively. In summary, these findings characterize the marginal efficacy of SOC therapy to durably arrest BOS in this series of participants, especially in those participants with an aggressive level of BOS pathology.
FIGURE 3.
The relationship of FEV1 rate of decline (mL/mo) and slope difference (ie, first ECP – BOS Dx) values (y-axis) as related to FEV1 rate of decline (mL/mo) at BOS Dx (x-axis) in participants who met FEV1 criteria AE (black circles) vs participants who met FEV1 criteria PE (red triangles). Linear regression was used to generate predictive lines for each cohort (ie, red line for participants who met FEV1 criteria PE vs black line for participants who met FEV1 criteria AE). The green horizontal line demarcates a decrease in the rate of FEV1 decline (response: +ve value; above green line) vs an increase in the rate of decline (no response: –ve value; below green line). The percentage of participants and the percent change in FEV1 rate of decline are summarized within the figure for participants who met FEV1 criteria AE relative to either a response (+ difference values) or a 50% response. AE, at enrollment; BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s; PE, post-enrollment.
FIGURE 4.
The indirect relationship between the PC in FEV1 rate of decline between 2 time points (BOS Dx and within 2 d after the first ECP) vs the time (in days) from BOS diagnosis until the first ECP for participants who met FEV1 criteria AE (n = 103). The horizontal red line represents the cutoff for response, defined as >50% decrease in the rate of FEV1 decline, with 22 of 103 cases depicted below the red line. AE, at enrollment; BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s; PC, percent change.
FIGURE 5.
The degree of increase in the FEV1 rate of decline (mL/mo) between the 2 time periods (BOS Dx to left; within 2 d of the first ECP treatment to right) in nonresponders to SOC therapy (ie, <50% drop in the rate of FEV1 decline). BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s; SOC, standard of care.
FIGURE 6.
The degree of decrease in the FEV1 rate of decline (mL/mo) between the 2 time periods (BOS Dx to left; within 2 d of the first ECP treatment to right) in responders to SOC therapy (ie, >50% drop in the rate of FEV1 decline). BOS, bronchiolitis obliterans syndrome; Dx, diagnosis; ECP, extracorporeal photophoresis; FEV1, forced expiratory volume in 1 s; SOC, standard of care.
DISCUSSION
The present analysis, involving data from participants enrolled in the largest prospective series to date, was designed to (1) describe the wide range of SOC interventions used to manage BOS at our 20 enrolling centers, (2) characterize the spirometric course after initiation of SOC therapy, and (3) evaluate the suitability of our FEV1 criteria for management of refractory BOS and by doing so, to enhance design of comparative therapeutic studies.
We had previously observed a significant relationship between the decline in the rate of FEV1 decline and early mortality in lung transplant recipients with BOS.12 Based on the observed trajectory of FEV1 rate of decline at several time periods and the differential response to SOC therapy stratified by our FEV1 criteria, these findings support the use of this FEV1 cutoff to initiate rescue therapy for a revised RCT pursuant to a previous Food and Drug Administration guidance document.14 Although additional validation of the FEV1 criteria used in this study would be useful, it is expected that this should be a reasonable cutoff based on the substantial variability in FEV1 values (ie, 2 SD coefficient of variation of 17%) observed in patients in surveillance for BOS.17
Although SOC interventions resulted in a partial response in up to 51% of participants who met slope criteria AE or PE (Table 7) and as illustrated in Figure 3 (data points above the green horizontal line), only 19% (48/258) of all enrolled participants (ie, those who did not meet FEV1 criteria) had evidence of complete stabilization of BOS. Alternatively, this stabilization may have represented a mischaracterization of BOS (ie, acute cellular rejection). In contrast, only 25% of participants who met FEV1 criteria AE or PE had ≥50% reduction in the rate of decline by SOC therapy (Table 7). The enhanced SOC response profile, that is, the steeper predicted linear regression line (red line) the response region (above green line) in Figure 3 that was observed for participants who met FEV1 criteria PE may be explained by the lower severity of BOS in these participants based on FEV1 rate of decline (ie, 50% lower slope values AE within Table 6). However, the SOC effect was not durable because >50% of participants who did not meet FEV1 criteria AE met these criteria PE (Figure 1). The observed progressive decline in lung function after SOC therapy in the majority of participants facilitates the use of mathematical constructs to predict survival (ie, more rapid rates of FEV1 decline that require less time to reach a previously defined terminal FEV1 of 700 mL).17 These findings align with the well-documented poor prognosis of lung transplant recipients after development of BOS.4-6
The substantial loss of lung capacity observed AE (ie, FEV1 values at 54% of baseline values AE in Table 5) is consistent with previously described variable and prolonged intervals (ie, between every 3 and 12 mo) for FEV1 measurements between institutions,18 reinforces the importance of early detection and frequent monitoring of pulmonary function for patients under surveillance for BOS is critically important especially for patients with higher observed rates of decline in FEV1.12
Generally, earlier detection of BOS via frequent spirometry coupled with earlier use of effective therapy may result in better functional status and prolonged survival for either primary or refractory BOS. However, compliance with a frequent monitoring schedule (every 4–8 wk) via conventional laboratory spirometry for long surveillance periods (ie, up to 15 y) based on a fairly consistent annual BOS incidence of 8% per year2 may not be feasible for many patients. Since home spirometry monitoring systems can lead to early detection of acute rejection and infection in lung transplant recipients,19-22 it offers clear advantages for optimizing management of either infections versus rejection. Therefore, we have developed and validated (in a series of 9 volunteers) a novel home spirometry system that results in automated generation and transmission of reports with spirometry, oximetry, and survey data. Use of this system will facilitate earlier detection and treatment of BOS and will enhance enrollment into a revised RCT.
In summary, the findings in the present study illustrate that the vast array of SOC interventions implemented at our 21 enrolling sites had a modest effect on attenuation of the rate of FEV1 decline, especially in participants who met FEV1 criteria AE with more aggressive disease. However, because 19% of all enrolled participants did not meet FEV1 criteria AE or PE based on stable FEV1 values, this finding supports that validated Spirometric Criteria should be used to assess response to SOC before rescue therapy options are considered. In addition, our findings support stratification of participants (ie, either via retrospective data capture or random assignment in RCTs) based on validated spirometric biomarkers after SOC therapy to ensure that there is an equal distribution of high- and low-risk participants assigned to comparator cohorts.
Footnotes
This study was funded by an investigator-initiated grant provided by Therakos LLC, a former Mallinckrodt Pharmaceuticals company (NCT02181257). The US Centers for Medicare and Medicaid Services (CMS) reimbursed costs of extracorporeal photopheresis therapy for enrolled participants in this CMS-approved study under its Coverage with Evidence Development authority (CAG-00324R2). J.M. is partially supported by National Science Foundation grant DMS 2054199.
R.H. received grant from Mallinckrodt. S. Arcasoy received grants from Sanofi, Renovion, Zambon, Caredx, and Natera. B.K. is a consultant/Scientific Advisory Board of CareDx and Zambon. S.V., C.D., P.C., A.A., A. Prokudin, and G.D. are team members of the study team from Washington University involved with research management of the Investigator Initiated ECP trial funded by a research grant from Therakos. The other authors declare no conflicts of interest.
D.E.B., R.H., C.H., R.W., H.G., M.P., J.R., J.K.-T., S. Arcasoy, C.N., N.D.S., A.U., R.G., F.C., B.K., D.N., J.P., M.M., E.L., H.J.H., A. Pelaez, A.E., K.W., K.C., G.Y., M.B., and S. Aryal participated in performing the research, enrollment of patients, and reviewing and editing the article. S.V. participated in research design, reviewing, and editing the article. C.D. participated in performing the research, reviewing, and editing the article. P.C. participated in data management, performing the research, reviewing, and editing the article. K.B. participated in guidance for data analysis and editing the article. A.A., J.A., and J.M. participated in review of data analysis and editing the article. A.P. participated in performing the research, editing the article, data preparation, spreadsheet development, and data analyses. G.D. participated in research design, performing the research, data analysis, and preparing the article draft.
REFERENCES
- 1.Verleden GM, Glanville AR, Lease ED, et al. Chronic lung allograft dysfunction: definition, diagnostic criteria, and approaches to treatment—a consensus report from the Pulmonary Council of the ISHLT. J Heart Lung Transplant. 2019;38:493–503. [DOI] [PubMed] [Google Scholar]
- 2.Yusen RD, Edwards LB, Kucheryavaya AY, et al. The Registry of the International Society for Heart and Lung Transplantation: thirty-second official adult lung and heart-lung transplantation report—2015; focus theme: early graft failure. J Heart Lung Transplant. 2015;34:1264–1277. [DOI] [PubMed] [Google Scholar]
- 3.Verleden SE, Vasilescu DM, McDonough JE, et al. Linking clinical phenotypes of chronic lung allograft dysfunction to changes in lung structure. Eur Respir J. 2015;46:1430–1439. [DOI] [PubMed] [Google Scholar]
- 4.Heng D, Sharples LD, McNeil K, et al. Bronchiolitis obliterans syndrome: incidence, natural history, prognosis, and risk factors. J Heart Lung Transplant. 1998;17:1255–1263. [PubMed] [Google Scholar]
- 5.Finlen Copeland CA, Snyder LD, Zaas DW, et al. Survival after bronchiolitis obliterans syndrome among bilateral lung transplant recipients. Am J Respir Crit Care Med. 2010;182:784–789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kulkarni H. Bronchiolitis-obliterans syndrome-free survival following lung transplantation—an International Society for Heart and Lung Transplantation (ISHLT) Thoracic Transplant Registry analysis. J Heart Lung Transplant. 2019;38:5–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Benden C, Speich R, Hofbauer GF, et al. Extracorporeal photopheresis after lung transplantation: a 10-year single-center experience. Transplantation. 2008;86:1625–1627. [DOI] [PubMed] [Google Scholar]
- 8.Jaksch P, Scheed A, Keplinger M, et al. A prospective interventional study on the use of extracorporeal photopheresis in patients with bronchiolitis obliterans syndrome after lung transplantation. J Heart Lung Transplant. 2012;31:950–957. [DOI] [PubMed] [Google Scholar]
- 9.Morrell MR, Despotis GJ, Lublin DM, et al. The efficacy of photopheresis for bronchiolitis obliterans syndrome after lung transplantation. J Heart Lung Transplant. 2010;29:424–431. [DOI] [PubMed] [Google Scholar]
- 10.CMS Transmittal. Available at https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/Downloads/R2551CP.pdf. Accessed September 24, 2012.
- 11.CMS Protocol Number CAG-00324R2; ClinicalTrials.gov identifier: NCT02181257. Available at https://clinicaltrials.gov/study/NCT02181257.
- 12.Hage CA, Klesney-Tait J, Wille K, et al. ; EPI Study Group. Extracorporeal photopheresis to attenuate decline in lung function due to refractory obstructive allograft dysfunction. Transfus Med. 2021;31:292–302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Karnes HE, Schindler EI, Morrell M, et al. Factors associated with mortality and response to extracorporeal photopheresis in lung allograft recipients with bronchiolitis obliterans syndrome. Transplantation. 2019;103:1036–1042. [DOI] [PubMed] [Google Scholar]
- 14.FDA. Enrichment Strategies for Clinical Trials to Support Determination of Effectiveness of Human Drugs and Biological Products Guidance for Industry March 2019 V. PREDICTIVE ENRICHMENT — IDENTIFYING MORE-RESPONSIVE PATIENTS, Page 11. Available at https://www.fda.gov/media/121320/download. Accessed April 9, 2025.
- 15.Miller MR, Hankinson J, Brusasco V, et al. ; ATS/ERS Task Force. Standardisation of spirometry. Eur Respir J. 2005;26:319–338. [DOI] [PubMed] [Google Scholar]
- 16.Welsh CH, Wang TS, Lyu DM, et al. ; The American Thoracic Society Implementation Task Force. An international ISHLT/ATS/ERS clinical practice guideline: summary for clinicians. Bronchiolitis obliterans syndrome complicating lung transplantation. Ann Am Thorac Soc. 2015;12:118–119. [DOI] [PubMed] [Google Scholar]
- 17.Goldberg H, Hage CA, Klesney-Tait J, et al. Evolution of a pivotal clinical study to evaluate extracorporeal photopheresis for refractory bronchiolitis obliterans. Eur J Respir Med. 2021;3:178–186. [Google Scholar]
- 18.Jackson CH, Sharples LD, McNeil K, et al. Acute and chronic onset of bronchiolitis obliterans syndrome (BOS): are they different entities? J Heart Lung Transplant. 2002;21:658–666. [DOI] [PubMed] [Google Scholar]
- 19.Bjørtuft O, Johansen B, Boe J, et al. Daily home spirometry facilitates early detection of rejection in single lung transplant recipients with emphysema. Eur Respir J. 1993;6:705–708. [PubMed] [Google Scholar]
- 20.Kugler C, Fuehner T, Dierich M, et al. Effect of adherence to home spirometry on bronchiolitis obliterans and graft survival after lung transplantation. Transplantation. 2009;88:129–134. [DOI] [PubMed] [Google Scholar]
- 21.Finkelstein SM, Scudiero A, Lindgren B, et al. Decision support for the triage of lung transplant recipients on the basis of home-monitoring spirometry and symptom reporting. Heart Lung. 2005;34:201–208. [DOI] [PubMed] [Google Scholar]
- 22.Wagner FM, Weber A, Park JW, et al. New telemetric system for daily pulmonary function surveillance of lung transplant recipients. Ann Thorac Surg. 1999;68:2033–2038. [DOI] [PubMed] [Google Scholar]






