Spirometry is essential for the diagnosis, severity assessment and longitudinal monitoring of Chronic Obstructive Pulmonary Disease (COPD). However, the minimal important difference (MID) for key spirometric parameters such as forced expiratory volume in one second (FEV1) and forced vital capacity (FVC) remains poorly defined, particularly in patients with severe COPD. This study aimed was to determine the MID for FEV1 and FVC in patients with severe COPD undergoing bronchoscopic lung volume reduction treatment.
MethodsWe retrospectively analyzed data from patients with severe COPD who underwent bronchoscopic lung volume reduction between 2009 and 2024 at the University Medical Center Groningen. Anchor-based methods were used to calculate the MID for FEV1 and FVC using the 6-minute walk distance and St. George's Respiratory Questionnaire (SGRQ) as anchors.
ResultsA total of 543 patients with severe COPD were included, predominantly female (68%) with a mean age of 62±8 years and baseline FEV1 of 27%±8 predicted. Anchor-based analyses yielded MIDs of approximately 139mL (relative: 19%) for FEV1 and 349mL (16%) for FVC at 6 months, and 127mL (17%) for FEV1 and 379mL (17%) for FVC at 12 months.
ConclusionsThe overall estimated MID for FEV1 in our population of patients with severe emphysema was 133mL (18%) and for FVC 364mL (16%). While the MID should not be interpreted as a strict cut-off, consensus on its values is essential to facilitate comparability across studies and to guide appropriate sample size calculations. Validation of these estimates in other COPD populations would be valuable.
Spirometry plays a crucial role in the diagnosis, severity assessment, and longitudinal follow-up of patients with Chronic Obstructive Pulmonary Disease (COPD) [1]. The two key spirometry parameters are the forced expiratory volume in one second (FEV1) and the Forced vital capacity (FVC), which together reflect the ability to exhale air over time and serve as indicators of airway obstruction [2]. In studies investigating bronchoscopic lung volume reduction therapies, FEV1 is frequently selected as the primary endpoint, or at least as major secondary outcome measure.
Beyond statistical significance, it is crucial to assess whether observed changes in lung function are clinically meaningful. The concept of the Minimal Important Difference (MID) is used for this purpose and represents the smallest difference in an outcome that patients perceive as beneficial [3]. The MID can be applied to classify patients as responders or non-responders. To date, for spirometry only an absolute MID estimate for FEV1 has been established [4]. To our knowledge, no MID estimate exists for FVC. Furthermore, in the field of bronchoscopic interventions, most clinical trials have used a relative MID for FEV1, typically ranging from 10 to 15%, despite this threshold not being supported by the existing literature [5–8]. For example, two ongoing trials use a relative MID for FEV1 of ≥12% as primary outcome (BREATHE-3 study: NCT06891755) or as an important secondary outcome (CONVERT-II study: NCT06035120). A task force suggested a MID for FEV1 of 100–140mL but also concluded that a rigorous determination of the MID for spirometry has not yet been performed and remains warranted [9].
An imprecise MID may lead to overestimation or underestimation of a clinical trial's benefit, particularly when it is used as a primary endpoint. Therefore, the aim of this study was to determine the MID for FEV1 and FVC in patients with severe COPD undergoing bronchoscopic lung volume reduction treatment.
MethodsStudy designWe retrospectively included patients who underwent bronchoscopic lung volume reduction treatment between 2009 and 2024 at the University Medical Center Groningen, The Netherlands. Patients received either endobronchial valves [5–8,10], airway bypass stents [11] or coils [12–14] as part of clinical trials, or endobronchial valves as part of regular care within the BREATHE-NL registry (NCT02815683). All clinical trials were approved by the local medical ethics committee. For the BREATHE-NL registry, the medical ethics committee waived the requirement for formal approval, as the registry was deemed outside the scope of the WMO (Medical Research involving human subjects act). All patients provided written informed consent prior to participation and for the use of their data. We included all patients who had completed spirometry at baseline and during at least one follow-up visit.
MeasurementsSpirometry was performed post-bronchodilator, measuring FEV1 and FVC, in accordance with the European Respiratory Society (ERS)/American Thoracic (ATS) guidelines [15]. Percent predicted values were calculated for all patients using Global Lung function Initiative (GLI) reference equations [16]. The flow-volume measurements were obtained using a pneumotachograph (Masterscreen PRO or PNEUMO, Jaeger Medical GmbH, Hoechberg, Germany). In addition, patients performed body plethysmography post-bronchodilator according to the ERS/ATS guidelines [17,18], completed a 6-minute walk distance (6MWD) test following the ATS statement [19], and filled out the St. George's Respiratory Questionnaire (SGRQ) [20]. Measurements were performed at baseline and at the 6- and 12 month follow-up visits.
MID calculation and data analysisWe used the anchor-based approach to calculate the MIDs. This method compares changes in FEV1 or FVC with an established MID of an external clinical measure. The following anchors and corresponding MIDs were used: 6-minute walk distance, 26m [21], and SGRQ total score, −7.1 units [22]. We decided not to include Residual Volume (RV) as an anchor because we felt it was too strongly associated with both FVC and FEV1. In line with literature, we chose to use only an anchor-based approach and not to use a distribution-based method. Distribution-based methods rely solely on statistical characteristics of the data and therefore estimate a minimal detectable change, defined as the smallest change that exceeds measurement error. As such, they do not directly capture whether the observed change is perceived as important by patients [23,24]. First, we calculated the Pearson correlation coefficient between the absolute or relative change in FEV1 or FVC and each anchor. Consistent with literature, a correlation coefficient of ≥0.35 was considered indicative of an acceptable association [25]. Subsequently, linear regression analyses were performed with FEV1 or FVC as dependent variable and the anchor as the independent variable. The MID of the anchor was then entered into the regression equation to calculate the corresponding MID for FEV1 or FVC. Analyses were conducted separately for changes from baseline to the 6- and 12-month follow-ups to assess whether the MID remains stable over time. All analyses were performed using IBM SPSS Statistics (version 28.0.1.0 (142), New York, NY, USA).
ResultsStudy populationIn total, 543 patients (from a database of 742 patients) underwent spirometry at baseline and at 6- or 12-month follow-up. Baseline patient characteristics and changes in clinical outcomes at 6 and 12 months are presented in Table 1. The study population consisted of 68% females, with a mean age of 62±8 years, FEV1%predicted of 27±8%, FVC of 69±15% and RV of 251±48%. Among the participants, 87% were treated with endobronchial valves (EBV), 9% with coils and 5% with airway bypass stents. A total of 478 patients completed spirometry at both baseline and 6-month follow-up, and 420 patients at both baseline and 12-month follow-up.
Baseline patient characteristics and changes at 6- and 12-month follow-up.
| Baseline | Change at 6 months | Change at 12 months | |
|---|---|---|---|
| Sex, female | 412 (67.7%) | NA | NA |
| Age, years | 61.9±7.6 | NA | NA |
| Pack-years, years | 39.2±20.6 | NA | NA |
| FEV1, liters | 0.75±0.24 | 0.17±0.19 | 0.14±0.18 |
| FEV1, % of predicted | 26.7±7.5 | 6.28±6.42 | 5.14±6.31 |
| FEV1, relative change (%) | NA | 23.0±24.1 | 19.0±23.8 |
| FVC, liters | 2.50±0.77 | 0.43±0.49 | 0.42±0.49 |
| FVC, % of predicted | 68.7±15.4 | 12.4±13.0 | 11.9±12.9 |
| FVC, relative change (%) | NA | 19.2±22.1 | 18.8±23.9 |
| RV, liters | 4.88±1.03 | −0.67±0.66 | −0.63±0.63 |
| RV, % of predicted | 250.8±48.1 | NA | NA |
| SGRQ total score, units | 57.5±12.5 | −13.7±15.3 | −10.0±15.4 |
| 6MWD, meters | 324.8±96.1 | 52.1±64.6 | 40.0±71.5 |
| Treatment | NA | NA | |
| EBV | 472 (86.9%) | ||
| Coils | 46 (8.5%) | ||
| Airway stent | 25 (4.6%) | ||
Data are presented as number (percentage) or mean±standard deviation. FEV1: forced expiratory volume in one second, FVC: forced vital capacity, RV: Residual Volume, SGRQ: St. George's Respiratory Questionnaire, 6MWD: 6-minute walk distance, EBV: endobronchial valve, NA: not applicable.
The associations between changes in FEV1 or FVC and the selected anchors are presented in Table 2 and for 6-month follow-up in Fig. 1 and for 12-month follow-up in Fig. 1 in the online supplement. All associations were sufficiently strong to allow for MID calculation. The calculated MID estimates are presented in Table 3 and Fig. 2. The estimates obtained using both anchors were similar. At 6-month follow-up, the MID for FEV1 was 138–140mL (or 18.8–19.1%), and at 12-month follow-up the MID was slightly lower at 126–127mL (17.0–17.1%). At 6-month follow-up, the MID for FVC was 348–349mL (15.6–15.8%), and at 12-month follow-up it was slightly higher 375–383mL (16.8–17.1%).
Associations between changes in FEV1 and FVC and the selected anchors.
| Δ6MWD, meters | ΔSGRQ total score, units | |||
|---|---|---|---|---|
| r | n | r | n | |
| 6-Month follow-up | ||||
| ΔFEV1, liters | 0.456 | 440 | −0.470 | 441 |
| ΔFEV1, relative change (%) | 0.442 | 440 | −0.443 | 441 |
| ΔFVC, liters | 0.480 | 440 | −0.427 | 441 |
| ΔFVC, relative change (%) | 0.434 | 440 | −0.397 | 441 |
| 12-Month follow-up | ||||
| ΔFEV1, liters | 0.486 | 382 | −0.477 | 371 |
| ΔFEV1, relative change (%) | 0.480 | 382 | −0.440 | 371 |
| ΔFVC, liters | 0.493 | 382 | −0.419 | 371 |
| ΔFVC, relative change (%) | 0.460 | 382 | −0.386 | 371 |
Data are presented as Pearson correlation coefficients (r) and number of observations (n). All p-values were <0.001. FEV1: forced expiratory volume in one second, FVC: forced vital capacity, SGRQ: St. George's Respiratory Questionnaire, 6MWD: 6-minute walk distance, Δ: change between baseline to the 6- or 12 months follow-up visit.
Scatterplots of change in FEV1 or FVC versus change in the anchor variable at 6 months follow-up. Figure legend: FEV1: forced expiratory volume in one second, FVC: forced vital capacity, 6MWD: 6-minute walk distance, SGRQ: St. George's Respiratory Questionnaire. r: Pearson correlation coefficient, p: p-value, (A) Change in FEV1 (L) and change in 6WMD (meters). (B) Change in FEV1 (L) and SGRQ total score (units). (C) Change in FEV1 (%) and change in 6MWD (meters). (D) Change in FEV1 (%) and change in SGRQ total score (units). (E) Change in FVC (L) and 6MWD (meters). (F) Change in FVC (L) and SGRQ total score (units). (G) Change in FVC (%) and 6MWD (meters). (H) Change in FVC (%) and change in SGRQ total score (units).
Calculated minimal important difference (MID) estimates for FEV1 and FVC.
| Anchor | FEV1, mL | FEV1, relative change (%) | FVC, mL | FVC, relative change (%) |
|---|---|---|---|---|
| 6-Month follow-up | ||||
| 6MWD (26 meters) | 140 (113–166) | 19.1% (15.7–22.4) | 348 (283–414) | 15.8% (12.9–18.8) |
| SGRQ (−7.1 units) | 138 (124–151) | 18.8% (17.1–20.6) | 349 (312–384) | 15.6% (14.1–17.2) |
| 12-Month follow-up | ||||
| 6MWD (26 meters) | 126 (101–150) | 17.0% (13.7–20.2) | 375 (310–441) | 16.8% (13.6–20.1) |
| SGRQ (−7.1 units) | 127 (114–139) | 17.1% (15.5–18.7) | 383 (349–417) | 17.1% (15.4–18.8) |
Data are presented as MID (95%CI). FEV1: forced expiratory volume in one second, FVC: forced vital capacity, SGRQ: St. George's Respiratory Questionnaire, 6MWD: 6-minute walk distance.
To our knowledge, this is the first study to calculate a minimal important difference (MID) for both FEV1 and FVC, as well as to estimate a relative MID in a population of severe COPD patients. The estimated MID for FEV1 was 139mL or 19% at 6 months and 127mL or 17% at 12 months. For FVC, the MID was 349mL or 16% at 6 months and 379mL or 17% at 12 months. As the MIDs at both timepoints were very similar, we propose using an average MID of 133mL or 18% for FEV1 and 364mL or 16% for FVC.
In COPD research, FEV1 is frequently used as a key primary endpoint, often required by the regulatory agencies such as the US Food and Drug Administration. The MID is valuable not only for evaluating treatment effects but also for determining appropriate sample sizes. The most commonly cited absolute MID for FEV1 in COPD has been 100mL, which is lower than our current calculated estimates [4]. It should be noted, however, that this 100mL threshold was not empirically derived, but rather triangulated from several analyses not primarily designed to determine an MID, making direct comparisons difficult. An ERS/ATS task force has suggested a range of 100–140mL based on professional and patient opinion and our calculated MID indeed falls within this range [9].
A relative MID, expressed as a percentage of baseline values, takes into account differences in disease severity and baseline function, making it potentially more meaningful and easier to compare across populations than an absolute MID and particularly appropriate for patients with low baseline values. To date, a relative MID for FEV1 has not been empirically established, the ERS/ATS task force has suggested a range of 4–12% which is lower than our estimates [9]. However, this was not based on a clinically relevant improvement after a treatment, but rather on differences in dyspnea compared with other patients or on reversibility testing. In the absence of a calculated MID, many studies in bronchoscopic lung volume reduction research, have used higher, self-selected relative MIDs of 10–15% and our results show that the relative MID may be even slightly higher. The choice of MID value can substantially affect the proportion of patients classified as responders. We feel it is therefore important to compare trial outcomes to facilitate consensus and promote the use of a standardized MID across studies.
It is well known that FEV1 does not always correlate strongly with patient-reported outcomes [26]. Nevertheless, in our study, we observed appreciable associations between changes in FEV1 and corresponding changes in 6MWD and SGRQ, consistent with findings from a pooled analysis of 23 clinical trials [27]. Consequently, we also investigated, for the first time, the MID for FVC. To our knowledge, FVC has rarely been used as a primary endpoint. However, FVC has been shown to be a more sensitive variable for assessing reversibility in COPD, to better reflect static hyperinflation, and to correlate more closely with improvements in quality of life compared with FEV1[28–30]. These findings suggest that FVC could serve as a valuable additional endpoint in future studies, including the MID estimates.
For this study, we used the anchor-based method to calculate the minimal important difference (MID). When applying the anchor-based method, it is essential to ensure that the selected anchor is appropriate for the analysis. A suitable anchor should ideally be derived from high-quality studies, originate from a comparable COPD population, and, to some extent, reflect improvements in lung function. For this analysis, we selected quality of life measured by the SGRQ and exercise capacity measured by 6MWD as anchors. An advantage of both anchors is that their respective MIDs were established in similar patient populations. The MID for the SGRQ was determined in patients with severe emphysema undergoing bronchoscopic lung volume reduction, while the MID for the six-minute walk distance (6MWD) was established in patients with severe emphysema undergoing lung volume reduction surgery [21,22]. Moreover, this MID was comparable to the value calculated in patients with COPD undergoing pulmonary rehabilitation [31]. We believe that both quality of life and exercise capacity reflect improvements in lung function. The associations between changes in the anchors and changes in lung function parameters exceeded the predefined threshold of 0.35, in accordance with the literature [25]. However, most correlations were only moderate, and it may therefore be questioned whether the anchors fully capture changes in lung function. A strength of our analysis is that both anchors, although measuring different domains, yielded similar MID estimates. Furthermore, as mentioned previously, it is well established that FEV1 does not always correlate strongly with other clinical outcomes; therefore, a perfect association probably cannot be expected. Unfortunately, only these two anchors were available for our calculations. The inclusion of additional anchors, such as cycle ergometry, dyspnea scores, patient global impression of change or the COPD Assessment Test Questionnaire (CAT) could have further strengthened our analysis.
Strengths of our study include the relatively large sample size and the high level of standardization. All measurements were performed in a single specialized research hospital in the Netherlands, following an identical measurement protocol and sequence, and using the same equipment throughout the study. A general limitation of the MID is that it should not be interpreted as a definite cut-off for determining individual treatment response or clinical usefulness. Nevertheless, we believe it is important to reach a consensus on MID values to enable meaningful comparisons of trial outcomes and to inform appropriate sample sizes.
A limitation of our MID calculation is that our cohort consisted exclusively of patients with very severe COPD undergoing bronchoscopic lung volume reduction using three different treatment modalities: valves, coils, and airway bypass stents. It has been previously demonstrated that different interventions across diverse COPD patient populations may yield different MID estimates [32]. This may limit the generalizability of our findings. To enable the application of our MID estimates to a more heterogeneous COPD population, further research is needed to investigate whether other treatments—such as bronchodilators or pulmonary rehabilitation—or different types of bronchoscopic interventions, as well as other COPD patient populations, yield similar validation of our MID estimates.
In conclusion, this study is the first to estimate a minimal important difference (MID) for both FEV1 and FVC, as well as a relative MID in patients with severe emphysema undergoing lung volume reduction. The estimated MID for FEV1 was 133mL (18%) and for FVC 364mL (16%). While the MID should not be used as a strict cut-off, achieving consensus on these values is essential to facilitate comparability across studies and to guide appropriate sample size estimation. Validation of these estimates in other COPD populations would be valuable.
Contribution of each authorJEH: Conceptualization; Investigation; Methodology; Validation; Visualization; Writing-original draft; Formal analysis; Project administration; Data curation. SCA: Investigation; Writing-review & editing; Methodology; Formal analysis. KK: Investigation; Writing-review & editing; Data curation. DJS: Conceptualization; Investigation; Writing-review & editing; Methodology; Supervision; Data curation.
Artificial intelligence involvementDuring the preparation of this work the authors used ChatGPT in order to improve the readability and language of the manuscript. After using this tool/service, the authors reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.
Funding of the researchThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflicts of interestJEH and SCA have nothing to disclose. DJS reports to have received grants from PulmonX Corp, Pulmair, Apreo, FreeFlowMedical, Morair and Nuvaira (all USA) for clinical trial expenses outside this study, and received consulting fees from Nuvaira, MoreAir, Apreo, PulmonX (all USA) that was paid to institution outside this study, and received payment for lectures from PulmonX, Nuvaira (both USA), that was paid to institution, outside this study. KK reports speaker fees from PulmonX outside the submitted work.
Data availability statementThe data that support the findings of this study are available from the corresponding author upon reasonable request.













