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Journal of Thoracic Disease logoLink to Journal of Thoracic Disease
. 2021 Feb;13(2):511–520. doi: 10.21037/jtd-20-985

The paradoxical response to short-acting bronchodilator administration in patients with chronic obstructive pulmonary disease

Hong-Joon Shin 1, Tae-Ok Kim 1, Yu-Il Kim 1, Sang-Hoon Kim 2, Hyun Kuk Kim 3, Yong-Hyun Kim 4, Min Kwang Byun 5, Ki-Suck Jung 6, Kwang-Ha Yoo 7, Jae Seung Lee 8, Sung-Chul Lim 1,; KOCOSS Cohort Study Group
PMCID: PMC7947541  PMID: 33717524

Abstract

Background

There are a few studies about paradoxical bronchodilator response (BDR), which means a decrease in forced expiratory volume in 1 second (FEV1) or forced vital capacity (FVC) after short-acting bronchodilator administration in patients with chronic obstructive pulmonary disease (COPD). We evaluated the effect of paradoxical BDR on the clinical outcomes of COPD patients in South Korea.

Methods

We analyzed the KOrea COpd Subgroup Study team (KOCOSS) cohort data in South Korea between January 2012 and December 2017. BDR was defined as at least a 12% and 200-mL reduction in FEV1 or FVC after bronchodilator administration.

Results

A total of 1,991 patients were included in this study. A paradoxical BDR was noted in 57 (2.9%) patients and was independently associated with worse dyspnea and poor quality of life. High C-reactive protein (CRP) levels were associated with a paradoxical BDR (OR, 1.05; 95% CI, 1.01–1.09; P=0.003). However, paradoxical BDR was not associated with severe acute exacerbations. Pre-bronchodilator FEV1 (L) showed a higher area under the curve (AUC) for predicting severe acute exacerbations than the post-bronchodilator FEV1 (L) in the paradoxical BDR group (0.788 vs. 0.752).

Conclusion

A paradoxical reduction of FEV1 or FVC after bronchodilator administration may be associated with chronic inflammation in the airway and independently associated with worse respiratory symptoms and poor quality of life.

Keywords: Bronchodilator, chronic obstructive pulmonary disease (COPD), C-reactive protein (CRP), exacerbation, paradoxical

Introduction

Post-bronchodilator spirometry is required for the diagnosis of chronic obstructive pulmonary disease (COPD), but the role of bronchodilator response (BDR) is unclear in COPD (1). Positive bronchodilator reversibility is no longer recommended as a treatment option for COPD, and there is no standard definition yet (2,3). In addition, positive bronchodilator reversibility does not predict the clinical outcomes of long-term use of bronchodilators and inhaled corticosteroid (ICS) (4). However, lung function may be paradoxically reduced after bronchodilator administration. In the previous study, COPD patients with paradoxical reductions in forced expiratory volume in 1 second (FEV1) or forced vital capacity (FVC) after bronchodilator spirometry had poor qualities of life and frequent severe exacerbations (5). The incorrect use of inhalers and bronchospasm in response to the ingredients in inhalers have been suggested, but the mechanism of paradoxical BDR is still unclear (6-8). To the best of our knowledge, no study has assessed paradoxical BDR and the clinical outcomes of COPD in an Asian population.

In this study, we aimed to evaluate the effect of paradoxical BDR on the clinical outcomes of COPD patients in the KOrea COpd Subgroup Study team (KOCOSS) cohort (NCT02800499).

Methods

Study design and patients

The KOCOSS cohort is an ongoing, longitudinal, prospective, non-interventional, and observational study within the South Korean patients with COPD. We recruited and analyzed cohort data between January 2012 and December 2017. Inclusion criteria were as follows: age >40 years; symptoms including cough, sputum, and dyspnea; and post-bronchodilator FEV1/FVC <0.7. Exclusion criteria were as follows: asthma; inability to complete pulmonary function test; myocardial infarction or cerebrovascular event within the previous 3 months; pregnancy; rheumatoid arthritis; malignancy (metastatic cancer, leukemia, lymphoma); irritable bowel syndrome; and use of systemic steroids over 8 weeks for a reason other than COPD.

The protocol which was conducted according to the principle expressed in the Declaration of Helsinki was approved by the institutional review board (IRB) at each participating center (CNUH-2012-070). All patients provided written informed consent for participation in the study.

The initial evaluation for all patients included pulmonary function tests, 6-minute walk distance (6MWD), COPD Assessment Test (CAT), modified Medical Research Council (mMRC) dyspnea scale, COPD-specific version of St. George’s Respiratory Questionnaire (SGRQ-C), exacerbations in the previous 12 months, smoking status, medications, and comorbidities. Acute exacerbation of COPD was defined as the worsening of any respiratory symptom, including increased sputum volume, purulence, or increased dyspnea. Severe exacerbation was defined as the need for hospitalization or visiting the emergency room due to acute exacerbation of COPD.

Pulmonary function, disease severity, and exercise assessments

Spirometry and 6MWD were performed according to previous studies (9,10). COPD severity was categorized using spirometry alone, in accordance with the 2017 GOLD guidelines. Stage I COPD: FEV1 ≥80% predicted; stage II: FEV1 ≤50% to 80% predicted; stage III: FEV1 ≤30% to 50% predicted; and stage IV: FEV1 <30% predicted. The paradoxical BDR was defined as ≥12% and 200 mL reduction in FEV1 or FVC, respectively, or in both, after the administration of a bronchodilator, as described by previous reports and modified from the adapted American Thoracic Society criteria for BDR (11). The reduction in percentage was assessed as follows (5):

postbronchodilator FEV1 (L)postbronchodilator FEV1 (L)postbronchodilator FEV1 (L)×100 [1]

Statistical analyses

Descriptive statistics were reported as the mean and standard deviation for descriptive variables. For categorical variables, the number of patients per category and frequency of responses were recorded. Continuous variables with different severity classifications were analyzed using a two-sample t-test and χ2 tests, and Fisher’s exact test was used for comparing categorical variables. Bivariate and multivariate linear regression models were used to assess the independent effects of paradoxical BDR status in the cohort in relation to mMRC, CAT, SGRQ-C, and 6MWD, with age, sex, body mass index (BMI), smoking burden, and pre-bronchodilator FEV1 as covariates. To identify the factors predictive of paradoxical BDR, the variables that differed significantly between the paradoxical BDR and no-paradoxical BDR groups were included for univariate analysis with logistic regression. Subsequent multivariate logistic regression analysis using the backward method included variables with P<0.1 in the univariate analysis. Pre-bronchodilator and post-bronchodilator FEV1 (L) were assessed to predict acute severe exacerbations using the receiver operating characteristic curve and area under the curve (AUC) in paradoxical BDR groups. We evaluated the influence of paradoxical BDR on severe acute exacerbations by matching patients according to covariates of age, sex, current smoking status, BMI, pre-bronchodilator FEV1 (% predicted), CAT, SGRQ-C, comorbid diseases (heart disease, diabetes, hypertension, and previous 1-year acute exacerbation), and previously used inhalers [long-acting muscarinic antagonist (LAMA), long-acting β2-agonist (LABA), and ICS]. Propensity score matching was performed with 1:3 nearest neighbor matching without replacement. The caliper was 0.05, and the absolute standardized differences of the mean were within 0.1 for all variables. Statistical analyses were performed using SPSS 23.0. Propensity score matching was performed using IBM SPSS 23.0 and R version R3.1.0 (R Foundation for Statistical Computing, Vienna, Austria). P<0.05 was considered statistically significant.

Results

We enrolled 1,991 patients in this study from 2,279 patients recruited during the cohort period (Figure 1). Two hundred and eighty-eight patients were excluded; 82 patients recorded FEV1/FVC of >0.7 and 206 patients had missing FEV1 or FVC data at the time of enrollment.

Figure 1.

Figure 1

Study flow chart.

We found 57 (2.9%) patients had a paradoxical BDR. Mean age was 68.8 years in the paradoxical BDR and 69.2 years in the no-paradoxical BDR group (Table 1). The male sex was predominant representing 87.7% of the paradoxical BDR group and 90.8% of the no-paradoxical BDR group. There were no differences in underlying diseases between groups. Pre-bronchodilator FEV1 (L) was higher in the paradoxical BDR group than the no-paradoxical BDR group. However, post-bronchodilator FEV1 and FVC were significantly higher in the no-paradoxical BDR group than the paradoxical BDR group.

Table 1. Baseline characteristics of the no-paradoxical and paradoxical BDR groups.

Paradoxical BDR, (N=57) No-paradoxical BDR, (N=1,934) P value
Age, years 68.8±8.2 69.2±7.8 0.664
Sex, male 50 (87.7%) 1757 (90.8%) 0.274
Smoking history, pack-years 43.9±20.1 44.3±20.1 0.928
Current smokers 11 (20.0%) 512 (26.7%) 0.352
Body weight, kg 60.7±1.6 62.4±0.5 0.591
Height, meter 1.63±0.01 1.64±0.01 0.522
Body mass index, kg/m2 22.5±3.5 22.9±3.3 0.421
mMRC Score 1.3±0.9 1.4±0.9 0.733
CAT score 14.9±6.8 14.8±7.9 0.975
SGRQ-C total score 34.6±18.9 32.7±18.5 0.484
Heart disease 146 (7.5%) 6 (10.5%) 0.441
Diabetes mellitus 11 (19.6%) 313 (16.3%) 0.467
Hypertension 21 (37.5%) 747 (39.0%) 0.890
Pre-bronchodilator FEV1
   Value, L 2.25±2.50 1.53±0.55 0.035
   Percent of predicted value, % 57.17±16.68 57.87±26.25 0.843
Pre-bronchodilator FVC
   Value, L 3.18±0.88 3.12±0.80 0.582
   Percent of predicted value, % 78.4±19.2 82.1±17.4 0.121
Pre-bronchodilator FEV1/FVC, % measure 53.6±15.5 49.0±11.8 0.006
Post-bronchodilator FEV1
   Value, L 1.41±0.62 1.62±0.56 0.005
   Percent of predicted value, % 55.6±17.8 60.7±19.1 0.049
Post-bronchodilator FVC
   Value, L 2.67±0.84 3.23±0.80 <0.000
   Percent of predicted value, % 74.6±22.1 84.9±18.1 0.001
Post-bronchodilator FEV1/FVC, % measure 51.3±9.7 53.5±151.8 0.912
FEV1 change, mL –83.9±31.7 93.5±0.2 0.005
FEV1 change, % –25.3±4.0 6.9±0.2 <0.000
FVC change, mL –60.3±15.4 11.8±0.5 <0.000
FVC change, % –14.6±4.4 4.5±0.2 <0.000
DLCO 11.89±4.69 13.45±5.53 0.090
DLCO, % predicted 62.2±21.3 73.9±23.4 0.003
Total lung capacity, L 6.05±1.80 6.04±1.31 0.979
Total lung capacity, % predicted 106.4±33.9 108.5±23.5 0.650
Vital capacity, L 2.92±0.77 3.27±0.79 0.030
Vital capacity, % predicted 79.2±16.7 92.2±45.6 0.154
Inspiratory capacity, L 2.22±1.15 1.84±0.60 0.135
Inspiratory capacity, % predicted 83.6±41.9 74.9±23.6 0.369
Functional residual capacity 84.05±0.95 4.15±1.19 0.695
Functional residual capacity, % predicted 124.5±27.2 129.2±42.6 0.605
Residual volume, L 2.85±1.15 2.77±2.07 0.857
Residual volume, % predicted 132.3±48.0 125.3±58.3 0.560
Residual volume/total lung capacity 48.3±15.9 44.6±14.4 0.255
GOLD stage
   I 5 (8.8%) 281 (14.5%) 0.195
   II 30 (52.6%) 1083 (56.0%)
   III 17 (29.8%) 491 (25.4%)
   IV 5 (8.8%) 79 (4.1%)
6MWD, meter 383.2±127.6 377.3±116.8 0.779
Eosinophil, % 3.23±3.59 3.35±3.41 0.818
C-reactive protein, mg/dL 11.6±18.2 2.7±7.5 0.055
Acute exacerbation
   Acute exacerbations in prior year 16 (28.6%) 435 (22.8%) 0.333
   Severe acute exacerbation in 1 year 5 (9.6%) 317 (23.5%) 1.000
Baseline drugs
   Long-acting muscarinic antagonist 30 (52.6%) 1168 (60.4%) 0.272
   Long-acting β2 agonist 25 (43.9%) 1,095 (56.6%) 0.059
   Inhaled corticosteroid 20 (35.1%) 756 (39.1%) 0.584

Data are presented as number (%) or mean (SD). BDR, bronchodilator response; mMRC, modified Medical Research Council; CAT, COPD assessment test; SGRQ-C, COPD-specific version of St. George’s Respiratory Questionnaire; FEV1, forced expiratory volume in 1 second; L, liters; FVC, forced vital capacity; DLCO, diffusing capacity for carbon monoxide; GOLD, global initiative for chronic obstructive lung disease; 6MWD, 6-minute walk distance. Missing values [n]; smoking history [747], current smokers [20], body mass index [6], mMRC score [17], CAT score [77], SGRQ-C total score [46], diabetes mellitus [15], hypertension [19], DLco [393], total lung capacity [690], vital capacity [687], inspiratory capacity [848], functional residual capacity [777], residual volume [682], residual volume/total lung capacity [752], 6MWD [493], eosinophil [394], C-reactive protein [1,074].

A multivariate analysis that adjusted for age, sex, BMI, pack-years of smoking, and pre-bronchodilator FEV1 (L), showed that the paradoxical BDR was independently associated with higher mMRC, CAT, and SGRQ-C scores (Table 2).

Table 2. Univariate and multivariate analysis of the paradoxical response and respiratory symptoms.

Unadjusted Adjusted r2
β coefficient (95% CI) P value β coefficient (95% CI) P value
6-minute walk distance 0.149
   Age –3.80 (–4.55, –3.06) <0.000 –3.66 (–4.70, –2.62) <0.000
   Sex, male 20.72 (–1.65, 43.11) 0.070 3.93 (–43.81, 51.68) 0.872
   BMI 4.27 (2.49, 6.05) <0.000 2.95 (0.65, 5.24) 0.011
   Pack-years –0.53 (–0.83, –0.23) 0.001 –0.39 (–0.68, –0.10) 0.008
   FEV1 (L) 61.25 (51.09, 71.71) <0.000 49.33 (35.39, 63.27) <0.000
   Paradoxical BDR 5.87 (–35.16, 46.91) 0.779 –20.39 (–40.72, –0.05) 0.951
Modified Medical Research Council score 0.109
   Age 0.01 (0.01, 0.02) <0.000 0.01 (0.00, 0.02) <0.000
   Sex, male –0.19 (–0.34, –0.04) 0.013 –0.04 (–0.37, 0.29) 0.814
   BMI –0.02 (–0.03, -0.01) <0.000 –0.01 (–0.03, 0.00) 0.063
   Pack-years 0.002 (0.000, 0.004) 0.014 0.002 (0.000, 0.004) 0.078
   FEV1 (L) –0.41 (–0.47, –0.36) <0.000 –0.32 (–0.39, –0.25) <0.000
   Paradoxical BDR –0.04 (–0.29, 0.20) 0.730 0.33 (0.02, 0.64) 0.034
COPD assessment test score 0.072
   Age 0.04 (–0.00, 0.08) 0.084 0.02 (–0.04, 0.08) 0.564
   Sex, male –1.50 (–2.84, –0.16) 0.028 –3.29 (–6.29, –0.29) 0.031
   BMI –0.29 (–0.40, –0.19) <0.000 –0.25 (–0.39, –0.12) <0.000
   Pack-years 0.02 (0.01, 0.04) 0.001 0.02 (0.01, 0.04) 0.002
   FEV1 (L) –2.60 (–3.10, –2.11) <0.000 –2.03 (–2.63, –1.44) <0.000
   Paradoxical BDR 0.03 (–0.29, 2.16) 0.975 2.85 (0.11, 5.58) 0.041
St. George’s Respiratory Questionnaire 0.176
   Age 0.25 (0.14, 0.36) <0.000 0.05 (–0.08, 0.19) 0.466
   Sex, male –3.43 (–6.58, –0.28) 0.033 –2.71 (–9.61, 3.78) 0.426
   BMI –0.76 (–1.01, –0.51) <0.000 –0.28 (–0.59, 0.32) 0.079
   Pack-years 0.04 (0.00, 0.08) 0.044 0.03 (–0.00, 0.06) 0.114
   FEV1 (L) –12.61 (–13.99, –11.23) <0.000 –13.40 (–15.32, –11.47) <0.000
   Paradoxical BDR 1.85 (–3.34, 7.05) 0.484 11.01 (4.71, 17.31) 0.001

BMI, body mass index; FEV1, forced expiratory volume in 1 second; L, liters; BDR, bronchodilator response; COPD, chronic obstructive pulmonary disease; CI, confidence interval.

To identify the factors predictive of paradoxical BDR, the variables that differed significantly between the two groups in Table 1 were selected; these were DLCO (% predicted), vital capacity, CRP, and pre-bronchodilator FEV1 (L). DLCO (% predicted), vital capacity, CRP, and pre-bronchodilator FEV1 (L) were associated with paradoxical BDR in the univariate logistic regression analysis. However, multivariate logistic regression analysis using the backward method revealed that high CRP [odds ratio (OR), 1.05; 95% confidence interval (CI), 1.01–1.09; P=0.003] and DLCO (% predicted) (OR, 0.95; 95% CI, 0.92–0.98; P=0.004) were significantly associated with paradoxical BDR as shown in Table 3 (Nagelkerke R2 =0.218).

Table 3. Predictive factors for a paradoxical bronchodilator response.

Variables Odds ratio 95% CI P value
Univariate analysis
DLCO (% predicted) 0.97 0.96–0.99 0.003
Vital capacity 0.56 0.33–0.94 0.031
C-reactive protein 1.04 1.02–1.07 <0.000
Long-acting ß2 agonist 0.59 0.35–1.01 0.058
Pre-bronchodilator FEV1 (L) 3.07 2.00–4.72 <0.000
Multivariate analysis
   C-reactive protein 1.05 1.01–1.09 0.003
   DLCO (% predicted) 0.95 0.92–0.98 0.004

DLCO, diffusing capacity for carbon monoxide; FEV1, forced expiratory volume in 1 second; L, liters; CI, confidence interval.

A paradoxical BDR was not associated with severe acute exacerbation during the 1-year period after logistic regression analysis with adjusting for confounding factors (Table 4). In addition, we used propensity score matching with variables to assess whether a paradoxical BDR was associated with severe acute exacerbation of COPD within 1 year. After 1:3 matching analysis, a paradoxical BDR was not associated with severe acute exacerbations of COPD.

Table 4. Predictive factors for severe 1-year acute exacerbation.

Variables Odds ratio 95% CI P value
Paradoxical BDR (crude) 0.49 0.19–1.27 0.145
Paradoxical BDRa 0.51 0.19–1.34 0.176
Paradoxical BDRb 0.51 0.19–1.37 0.187
Paradoxical BDR (propensity score matching analysis) 0.54 0.19–1.57 0.264

a, adjusted for age and sex; b, adjusted for age, male sex, CAT score, SGRQ-C score, and previous 1-year acute exacerbation. CI, confidence interval; BDR, bronchodilator response; CAT, COPD assessment test; SGRQ-C, COPD-specific version of St. George’s Respiratory Questionnaire.

The receiver operating characteristic curve predicting severe acute exacerbation during 1 year showed that pre-bronchodilator FEV1 (L) had a higher AUC than post-bronchodilator FEV1 (L) in the paradoxical BDR group (AUC, 0.788; 95% CI, 0.649–0.927; P=0.040 vs. AUC, 0.752; 95% CI, 0.567–0.936; P=0.094, respectively).

Discussion

In this cohort study, we described the characteristics of patients with COPD who exhibit a paradoxically reduced FEV1 or FVC after bronchodilator administration. We found that the paradoxical BDR was independently associated with higher mMRC, CAT, and SGRQ-C scores, and an elevated CRP level was associated with paradoxical BDR after bronchodilator administration. Pre-bronchodilator FEV1 (L) was more predictive of severe acute exacerbations of COPD than post-bronchodilator FEV1 (L) in the paradoxical BDR group.

We found that 57 (2.9%) of 1,991 patients with COPD exhibited a paradoxical BDR, following the definition of a paradoxical BDR as described by a previous study (5). Previous studies have reported a paradoxical BDR incidence rate of 4% of all patients with COPD in the COPD Gene cohort. However, the ECLIPSE cohort reported that 47 (2%) of 2493 patients showed a paradoxical BDR (5,12). In contrast, the UPLIFT cohort reported a very low incidence of 0.24%, wherein the paradoxical BDR was measured based on GOLD criteria (13). Racial differences may contribute to the differences in incidence of paradoxical BDR (5). In this Asian cohort study, the rate of paradoxical BDR was similar to the results of the ECLIPSE cohort. Further research is needed to determine whether racial differences influence the paradoxical BDR.

The mechanisms associated with a paradoxical BDR after bronchodilator administration have not been fully elucidated. Several possible hypotheses include incorrect inhaler use, bronchospasm from the propellant or the benzalkonium chloride, chlorofluorocarbons, and oleic acid contained in inhalers (6-8). Population differences are observed in the paradoxical response, which might be associated with ß-receptor polymorphism (5). In this study, higher CRP expression was associated with the paradoxical BDR. Elevated CRP level is associated with reductions in FEV1 and worse outcomes in COPD (14,15). A smaller increase in FEV1 after administration of a bronchodilator is associated with elevated CRP levels in patients with COPD (16). CRP is associated with chronic respiratory inflammation in COPD; therefore, the deterioration of chronic inflammation may be associated with the paradoxical BDR to bronchodilator administration.

In this study, the paradoxical BDR was independently associated with worse dyspnea and a poorer quality of life. In line with this, Bhatt et al. reported that a paradoxical BDR was associated with lower 6MWD and higher mMRC scores (5). Emphysema and airway thickness are independently associated with airway obstruction in patients with COPD (17). Airway thickness but not emphysema is significantly increased in the paradoxical BDR group (5). The increased airway thickness may have reduced the response to bronchodilators, consequently contributing to worse dyspnea and poor quality of life. However, paradoxical BDR was not associated with severe acute exacerbations in the present study. In contrast, Bhatt et al. reported that there was an increase in the frequency of severe exacerbation in a paradoxical BDR group after adjusting for confounding factors (5). Bhatt et al. explained that the incidence of severe acute exacerbation was increased in the paradoxical group because there were more African-Americans than whites in the paradoxical BDR group (5). African-Americans with COPD have poorer outcomes than whites (18). Considering racial differences, the present study suggests that Asian populations associated with paradoxical BDR are not prone to acute exacerbations of COPD.

Post-bronchodilator FEV1 and FVC are key values in diagnosing COPD and assessing the prognosis. However, if the post-bronchodilator FEV1 is used for assessing the prognosis of COPD, airway obstruction can be overestimated. In this study, pre-bronchodilator FEV1 (L) is higher in the paradoxical BDR group than in the no-paradoxical BDR group. However, post-bronchodilator FEV1 and FVC are significantly higher in the no-paradoxical BDR group than in the paradoxical BDR group. We found that pre-bronchodilator FEV1 (L) had a higher AUC for predicting severe acute exacerbations than post-bronchodilator FEV1 (L) in the paradoxical BDR group. While there was no difference between the pre-bronchodilator and post-bronchodilator FEV1 (% predicted) AUC at predicting severe acute exacerbations, pre-bronchodilator FEV1 measurements may be helpful in assessing disease prognosis in patients with a paradoxical BDR.

There are several limitations to this study. First, we did not assess the serial reversibility tests. Several studies showed that measurements are not consistent when repeated serial BDR tests are administered (19,20). Further study including analysis of the serial measurements is required. Second, there is no validated definition for paradoxical BDR; therefore, we used the definition from a previous study, which defined paradoxical BDR based on the American Thoracic Society criteria (5). Therefore, further studies are necessary to identify whether this definition yields meaningful results in other cohorts. Third, while we found that increased CRP was an independent factor to predict a paradoxical BDR in this study, we cannot exclude the influence of other chronic inflammatory conditions. To reduce this influence, we adjusted for other chronic inflammatory diseases, such as heart disease, diabetes mellitus, and hypertension. After adjusting for these variables, higher CRP was significantly associated with a paradoxical BDR (OR, 1.06; 95% CI, 1.02–1.10; P=0.001). Fourth, although patients with asthma were excluded, some of them may have been included among patients with positive bronchodilator reversibility. It is also possible that these patients underused ICS.

Conclusions

A paradoxical reduction of FEV1 or FVC after bronchodilator administration is independently associated with worse respiratory symptoms and a poor quality of life in patients with COPD and may be associated with chronic inflammation in the airway. While paradoxical BDR was not associated with severe acute exacerbations, pre-bronchodilator FEV1 (L) may be a useful measure for predicting severe acute exacerbations in patients with paradoxical BDR.

Supplementary

The article’s supplementary files as

jtd-13-02-511-dss.pdf (118.7KB, pdf)
DOI: 10.21037/jtd-20-985
jtd-13-02-511-prf.pdf (110.2KB, pdf)
DOI: 10.21037/jtd-20-985
jtd-13-02-511-coif.pdf (173.4KB, pdf)
DOI: 10.21037/jtd-20-985

Acknowledgments

Funding: This research was supported by funds (2016ER670100, 2016ER670101, 2016ER670102 and 2018ER670100, 2018ER670101, 2018ER670102) from Research of Korea Centers for Disease Control and Prevention.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The protocol which was conducted according to the principle expressed in the Declaration of Helsinki (as revised in 2013) was approved by the IRB at each participating center including Seoul National University Hospital IRB, Catholic Medical Center Central IRB, Yonsei University Wonju College of Medicine IRB, Severance Hospital IRB, Soonchunhyang University Cheonan Hospital IRB, Ajou University Hospital IRB, Hallym University Dongtan Sacred Heart Hospital IRB, Hallym University Chuncheon Sacred Heart Hospital IRB, Hallym University Pyeongchon Sacred Heart Hospital IRB, Hanyang University Guri Hospital IRB, Konkuk University Hospital IRB, Konkuk University Chungju Hospital IRB, Hallym University Kangdong Sacred Heart Hospital IRB, Hallym University Kangnam Sacred Heart Hospital IRB, Seoul National University Boramae Medical Center IRB, Korea University Guro Hospital IRB, Korea University Anam Hospital IRB, Dongguk University Gyeongju Hospital IRB, Dong-A University Hospital IRB, Gachon University Gil Medical Center IRB, Gangnam Severance Hospital IRB, Kyung Hee University Hospital at Gangdong IRB, Kangbuk Samsung Hospital IRB, Kangwon National University Hospital IRB, Kyungpook National University Hospital IRB, Gyeongsang National University Hospital IRB, Pusan National University Hospital IRB, Soonchunhyang University Bucheon Hospital IRB, Seoul National University Bundang Hospital IRB, CHA Bundang Medical Center, CHA University IRB, Asan Medical Center IRB, Inje University Ilsan Paik Hospital IRB, Eulji General Hospital IRB, Samsung Medical Center IRB, Ulsan University Hospital IRB, Soonchunhyang University Seoul Hospital IRB, Yeungnam University Hospital IRB, Ewha Womans University Mokdong Hospital IRB, Inha University Hospital IRB, Chonbuk National University Hospital IRB, and Jeju National University Hospital IRB. All patients provided written informed consent for participation from each center.

Footnotes

Data Sharing Statement: Available at http://dx.doi.org/10.21037/jtd-20-985

Peer Review File: Available at http://dx.doi.org/10.21037/jtd-20-985

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/jtd-20-985). The authors have no conflicts of interest to declare.

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jtd-13-02-511-dss.pdf (118.7KB, pdf)
DOI: 10.21037/jtd-20-985
jtd-13-02-511-prf.pdf (110.2KB, pdf)
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DOI: 10.21037/jtd-20-985

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