Abstract
Purpose
Previous studies have used various definitions to classify chronic obstructive pulmonary disease (COPD) patients into chronic bronchitis (CB) and non-CB patients. This study was performed to identify differences among three definitions of CB based on the classical method, St. George’s Respiratory Questionnaire (SGRQ), and the CAT (COPD Assessment Test) score.
Patients and methods
We extracted data from the multicenter Korea COPD Subgroup Study (KOCOSS) cohort, for which patients recruited from among 47 medical centers in South Korea beginning in April 2012. Patients were classified according to three different definitions of CB: 1) classical definition; 2) SGRQ (using questions regarding cough and sputum); and 3) CAT score (comprising cough [CAT1] and sputum [CAT2] subscale scores).
Results
A total of 2694 patients were enrolled in this study. The proportions of CB were 10.8%, 35.8%, and 24.0% according to the classical, SGRQ, and CAT definitions, respectively. The three definitions yielded consistently significant differences between CB and non-CB patients in modified Medical Research Council dyspnea scale CAT score, SGRQ score, number of moderate-to-severe exacerbations per year and forced expiratory volume in 1 second. By three definitions, CB consistently predicted future risk of exacerbation. The kappa coefficient of agreement between the classical definition and SGRQ definition was 0.29, that of the classical definition and CAT definition was 0.32, and that of the SGRQ definition and CAT definition was 0.44.
Conclusion
Patients with CB according to the new definitions based on SGRQ or CAT score showed similar clinical characteristics to those defined according to the classical definition. The new CB definitions may be used as alternatives to the classical definition.
Keywords: chronic bronchitis, CAT score, SGRQ score, chronic obstructive pulmonary disease, KOCOSS database
Introduction
Chronic obstructive pulmonary disease (COPD) is a major public health problem affecting 328 million patients worldwide;1,2 it is also the third leading cause of death worldwide and carries a significant economic burden. Recent studies have indicated the heterogeneity of COPD, and the clinical characteristics of diverse phenotypes have been investigated.3–6 Emphysema and chronic bronchitis (CB) have historically been regarded as two important phenotypes.7,8 Although many patients show either both or neither of these features, significant numbers of patients show predominantly only one of these phenotypes.5,7
Patients with CB phenotype are characterized by chronic cough and sputum production.3 Goblet cell hyperplasia in the bronchial epithelium is an important pathophysiological mechanism underlying this phenotype, which results in hypersecretion of mucus leading to airway obstruction and a predisposition to bacterial colonization.3,9–11 Recent reports indicated that CB phenotype is associated with poor health-related quality of life,3,12–15 reduced lung function,12,14 more frequent exacerbations,3,7,12,14,16,17 and higher mortality rate.14,16 These CB patients have been reported to constitute 14–74% of all COPD patients.17 The wide range of prevalence may be due to differences in study design or definitions of CB between studies.
CB is usually defined as frequent cough and sputum production for 3 months per year over 2 consecutive years.18–20 In addition, various studies have used other definitions to classify COPD patients into CB and non-CB groups.12,21–25 Therefore, study heterogeneity has imposed some limitations on interpreting the prevalence and outcome of CB, and there have been several interesting reports regarding differences in clinical outcomes in CB patients classified according to different definitions.24,25 Many studies have used the St. George’s Respiratory Questionnaire (SGRQ) score to define CB.26,27 The SGRQ consists of 76 questions correlated with health-related quality of life in COPD patients.28 Two questions inquire about symptoms of cough and sputum within 1 month, and these may be used as alternatives to investigations based on the classical definition. The COPD Assessment Test (CAT) score consists of cough (CAT1) and sputum (CAT2) scales, and may also be used to classify CB patients. Lim et al recently used SGRQ and CAT scores to categorize COPD patients as CB or non-CB and confirmed similar clinical and radiological outcomes between CB patient groups defined according to different definitions.25 However, there is a lack of evidence for use of the CAT score to define CB, as clinical outcomes have not been compared with those based on the classical definition used in most studies.
This study was performed to compare clinical characteristics between CB and non-CB groups categorized according to three different definitions of CB. Moreover, we calculated the sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) for the classical and new definitions of CB, and evaluated the agreement among the three definitions.
Methods
Study Design, Study Population, and Data Collection
The Korea COPD Subgroup Study (KOCOSS) cohort is a multicenter COPD cohort study of patients recruited from the pulmonary departments of 54 medical centers in South Korea, beginning in April 2012. The inclusion criteria were South Korean patients more than 40 years old with a ratio of forced expiratory volume in 1 second (FEV1) to forced vital capacity (FVC) ratio ≤0.7 after bronchodilator treatment. In this study, we extracted the data from the KOCOSS cohort, enrolled until 14 June 2018, to evaluate alternative CB definitions based on SGRQ and CAT scores.
Classical, SGRQ, and CAT Definitions of CB
Three definitions of CB were evaluated in this study. In accordance with the classical definition, patients who answered “yes” to all of the following questions were classified as having CB: 1) Do you have cough most days, at least 3 months per year? 2) Have you had cough for more than 2 consecutive years? 3) Do you have sputum most days, at least 3 months per year? 4) Have you had sputum production for more than 2 consecutive years?12,13,16,19,29
The SGRQ definition of CB was based on that of previous studies using questions from the SGRQ: 1) How often do you complain of cough during the week? 2) How often do you complain of sputum production during the week?24–27 Patients answering “most days of the week” or “several days of the week” to both of these questions were classified as having CB.
As proposed by Lim et al, the CAT definition of CB was based on the CAT score in patients with both CAT 1 (cough) and 2 (sputum) scores ≥3.25
Clinical Parameters
Clinical patient parameters, including age, sex, smoking history, and body mass index (BMI), were evaluated. We also evaluated parameters relevant to COPD, such as the modified Medical Research Council (mMRC) scale score, CAT total score, SGRQ total score, number of moderate-to-severe exacerbations per year, and number of severe exacerbations per year. Moderate exacerbation was defined as that requiring administration of antibiotics or oral corticosteroids on an outpatient basis. Exacerbation that led to an emergency room visit or hospital admission was defined as severe.30 Patients with high risk were defined as more than 2 moderate exacerbations or 1 severe exacerbation per year. Furthermore, pulmonary function test parameters, including FEV1, FVC, FEV1/FVC ratio, diffusion capacity of the lung for carbon monoxide (DLCO), and ratio of residual volume to total lung capacity (RV/TLC) were also analyzed.
Statistical Analysis
All statistical analyses were performed with R software (ver. 3.5.2; R Development Core Team, Vienna, Austria). Continuous variables are reported as means ± standard deviation (SD), and categorical variables are shown as numbers and percentages. We compared the clinical characteristics of CB and non-CB patients defined according to the three definitions outlined above. Categorical variables were compared between two groups with the χ2 test, and continuous variables were analyzed by Student’s t test. In all analyses, P<0.05 was taken to indicate statistical significance.
We performed multiple logistic regression for high risk with each CB definitions, sex, age, smoking history (current smoker vs ex- or never smoker) and FEV1. We used receiver operating characteristics (ROC) curve analysis for each model and calculated area under the curve (AUC) for the most fitting model. We calculated the sensitivity, specificity, PPV, and NPV of the new CB definitions (SGRQ and CAT definitions) compared to the classical definition. In addition, we performed Cohen’s kappa test to evaluate agreement among the three different definitions. A κ value between 0.01 and 0.20 represents slight, 0.21–0.40 fair, 0.41–0.60 moderate, 0.61–0.80 substantial, and 0.81–1 almost perfect agreement.31
Ethics
Written informed consent was obtained from all patients enrolled in this study. Ethical approval was obtained from the ethics committees of each participating medical center. The names of the approving ethics committees are listed in Supplementary information.
Results
Baseline Characteristics
A total of 2694 COPD patients were enrolled in the KOCOSS cohort from April 2012 to June 2018. The baseline characteristics of the study population are shown in Table 1. The mean age was 69.2 ± 8.0 years and 92.0% of the patients were male. The mean total CAT score and SGRQ score were 14. 7 ± 8.0 and 31.9 ± 18.8, respectively. The patients suffered moderate-to-severe exacerbation and severe exacerbation 0.5 ± 1.4 and 0.1 ± 0.5 times per year, respectively. Mean FEV1 was 1.7 ± 0.6 L (62.1% ± 19.2%) and mean FEV1/FVC was 51.3% ± 12.4%. The mean predicted DLCO percentage was 73.2% ± 23.1%.
Table 1.
Characteristics | Overall |
---|---|
Mean age (years, mean ± SD) | 69.2 ± 8.0 |
Sex (n, %) | |
Female | 211 (8.0%) |
Male | 2420 (92.0%) |
Smoking | |
Current smoker (n, %) | 690 (26.7%) |
Pack-years (mean ± SD) | 42.4 ± 25.9 |
Body mass index (mean ± SD) | 23.0 ± 3.4 |
mMRC dyspnea scale score | 1.3 ± 0.9 |
CAT total score (mean ± SD) | 14.7 ± 8.0 |
SGRQ total (mean ± SD) | 31.9 ± 18.8 |
Moderate-to-severe exacerbations/y | 0.5 ± 1.4 |
Severe exacerbations/year | 0.1 ± 0.5 |
FEV1 (absolute, L) | 1.7 ± 0.6 |
FEV1 (% predicted) | 62.1 ± 19.2 |
FVC (absolute, L) | 3.3 ± 0.8 |
FVC (% predicted) | 85.4 ± 17.3 |
FEV1/FVC (%) | 51.3 ± 12.4 |
DLCO, % predicted | 73.2 ± 23.1 |
RV/TLC (%) | 43.9 ± 14.1 |
Abbreviations: SD, standard deviation; mMRC, modified Medical Research Council; CAT, COPD Assessment Test; SGRQ, St. George’s Respiratory Questionnaire; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; DLCO, diffusion capacity of the lung for carbon monoxide; RV/TLC, ratio of residual volume to total lung capacity.
Differences in clinical characteristics between CB and non-CB patients classified according to the classical definition are shown in Table 2A. Classical CB patients accounted for 10.8% of COPD patients. There were no significant differences between the two groups in age, sex, smoking history, severe exacerbation history, or RV/TLC. However, CB patients showed lower BMI (22.5 ± 3.2 vs 23.1 ± 3.4, respectively) and a higher symptom score on the mMRC dyspnea scale (1.7 ± 1.0 vs 1.3 ± 0.9, respectively), higher CAT total score (21.1 ± 8.3 vs 13.9 ± 7.6, respectively), and higher SGRQ total score (45.7 ± 21.7 vs 30.3 ± 17.8, respectively). In addition, there were significant differences in moderate-to-severe exacerbation risk between CB and non-CB patients (0.9 ± 1.8 vs 0.5 ± 1.3 per year, respectively) and CB patients had a lower FEV1% predicted (56.0% ± 18.1% vs 62.2% ± 19.4%, respectively) and FEV1/FVC ratio (47.0% ± 12.3% vs 51.6% ± 12.3%, respectively).
Table 2.
CB Definitions | A. Classic Definition | B. SGRQ Definition | C. CAT Definition | ||||||
---|---|---|---|---|---|---|---|---|---|
Characteristics | CB Patients | Non-CB Patients | P-value | CB Patients | Non-CB Patients | P-value | CB Patients | Non-CB Patients | P-value |
N (n, %) | 277 (10.8%) | 2289 (89.2%) | 931 (35.8%) | 1669 (64.2%) | 612 (24.0%) | 1934 (76.0%) | |||
Mean age (years, mean ± SD) | 68.6 ± 7.9 | 69.3 ± 7.9 | 0.17 | 68.8 ± 8.1 | 69.5 ± 7.9 | 0.03 | 68.6 ± 8.2 | 69.4 ± 7.9 | 0.05 |
Sex (n, %) | 0.16 | 0.24 | 0.69 | ||||||
Female | 28 (10.2%) | 176 (7.8%) | 66 (7.15%) | 140 (8.5%) | 51 (8.4%) | 151 (7.9%) | |||
Male | 246 (89.8%) | 2093 (92.2%) | 857 (92.9%) | 1515 (91.5%) | 556 (91.6%) | 1765 (92.1%) | |||
Smoking | |||||||||
Current smoker (n, %) | 79 (29.4%) | 596 (26.4%) | 0.30 | 297 (32.4%) | 384 (23.8%) | <0.01 | 194 (32.6%) | 469 (24.5%) | <0.01 |
Pack-years (mean ± SD) | 44.3 ±28.3 | 42.4 ± 25.5 | 0.32 | 43.9 ±27.2 | 41.6 ± 25.1 | 0.05 | 43.6 ± 27.8 | 41.8 ± 25.2 | 0.19 |
Body mass index (mean ± SD) | 22.5 ± 3.2 | 23.1 ± 3.4 | 0.02 | 22.7 ± 3.4 | 23.2 ± 3.3 | <0.01 | 22.7 ± 3.4 | 23.1 ± 3.3 | <0.01 |
mMRC scale score | 1.7 ± 1.0 | 1.3 ± 0.9 | <0.01 | 1.6 ± 0.9 | 1.2 ± 0.9 | <0.01 | 1.7 ± 1.0 | 1.2 ± 0.9 | <0.01 |
CAT total score (mean ± SD) | 21.1 ± 8.3 | 13.9 ± 7.6 | <0.01 | 18.6 ± 8.2 | 12.4 ± 7.0 | <0.01 | 22.8 ± 7.1 | 12.1 ± 6.4 | <0.01 |
SGRQ total (mean ± SD) | 45.7 ± 21.7 | 30.3 ± 17.8 | <0.01 | 40.3 ± 19.8 | 27.2 ± 16.4 | <0.01 | 45.1 ± 20.6 | 27.7 ± 16.1 | <0.01 |
Moderate-to-severe exacerbations/year | 0.9 ± 1.8 | 0.5 ± 1.3 | <0.01 | 0.7 ± 1.5 | 0.4 ± 1.2 | <0.01 | 0.7 ± 1.6 | 0.4 ± 1.2 | <0.01 |
Severe exacerbations/year | 0.2 ± 0.7 | 0.1 ± 0.5 | 0.09 | 0.2 ± 0.6 | 0.1 ± 0.4 | 0.03 | 0.2 ± 0.7 | 0.1 ± 0.4 | 0.07 |
FEV1 (absolute, L) | 1.5 ± 0.5 | 1.7 ± 0.6 | <0.01 | 1.6 ± 0.6 | 1.7 ± 0.6 | <0.01 | 1.6 ± 0.6 | 1.7 ± 0.6 | <0.01 |
FEV1 (% predicted) | 56.4 ± 18.0 | 62.7 ± 19.3 | <0.01 | 59.7 ± 18.9 | 63.3 ± 19.3 | <0.01 | 58.7 ± 20.3 | 63.1 ± 18.8 | <0.01 |
FVC (absolute, L) | 3.2 ± 0.8 | 3.3 ± 0.8 | 0.27 | 3.3 ± 0.8 | 3.3 ± 0.8 | 0.79 | 3.2 ± 0.8 | 3.3 ± 0.8 | <0,01 |
FVC (% predicted) | 85.1 ± 17.6 | 85.4 ± 17.3 | 0.82 | 85.4 ± 17.8 | 85.2 ± 17.0 | 0.78 | 84.3 ± 18.9 | 85.4 ± 16.6 | 0.24 |
FEV1/FVC (%) | 47.2 ± 12.3 | 51.7 ± 12.3 | <0.01 | 49.4 ± 12.6 | 52.3 ± 12.2 | <0.01 | 49.1 ± 13.0 | 52.1 ± 12.1 | <0.01 |
DLCO, % predicted | 67.9 ± 21.2 | 74.1 ± 23.2 | <0.01 | 70.6 ± 22.0 | 74.7 ± 23.4 | <0.01 | 70.5 ± 22.5 | 73.7 ± 22.9 | <0.01 |
RV/TLC (%) | 44.6 ± 11.1 | 43.8 ± 13.8 | 0.39 | 44.4 ± 12.5 | 43.6 ± 14.5 | 0.30 | 45.7 ± 13.7. | 43.3 ± 14.2 | <0.01 |
Abbreviations: CB, chronic bronchitis; SD, standard deviation; mMRC, modified Medical Research Council; CAT, COPD Assessment Test; SGRQ, St. George Respiratory Questionnaire; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; DLCO, diffusion capacity of lungs for carbon monoxide; RV/TLC, ratio of residual volume to total lung capacity.
Differences in clinical characteristics between CB and non-CB patients classified according to the SGRQ definition are shown in Table 2B. CB patients accounted for 35.8% of the COPD patients. There were no significant differences between the two groups in age, sex, or RV/TLC. CB patients were more likely to be current smokers (32.4% vs 23.8%, respectively) and had lower BMI (22.7 ± 3.4 vs 23.2 ± 3.3, respectively). CB patients also showed higher symptom scores on the mMRC (1.6 ± 0.9 vs 1.2 ± 0.9, respectively), higher CAT total score (18.6 ± 8.2 vs 12.4 ± 7.0, respectively), and higher SGRQ total score (40.3 ± 19.8 vs 27.2 ± 16.4, respectively) compared to non-CB patients. CB patients classified according to SGRQ score showed higher risk of both moderate-to-severe exacerbation (0.7 ± 1.5 vs 0.4 ± 1.2, respectively) and severe exacerbation (0.2 ± 0.6 vs 0.1 ± 0.4, respectively). Also, CB patients showed poorer lung function than non-CB patients according to FEV1% predicted (59.7 ± 18.9 vs 63.3% ± 19.3%, respectively) and FEV1/FVC (49.4 ± 12.6 vs 52.3% ± 12.2%, respectively), consistent with the classical definition. Furthermore, CB patients classified according to the SGRQ definition showed lower DLCO than the non-CB patients (70.6 ± 22.0 vs 74.7 ± 23.4, respectively).
Differences in clinical characteristics between CB and non-CB patients classified according to the CAT definition are shown in Table 2C. CB patients accounted for 24.0% of the COPD patients using this definition. There were no differences in age or sex between the two groups. As with the SGRQ score, more CB patients were current smokers (32.6% vs 24.5%, respectively), but there was no significant difference in pack-years between groups. There was no significant difference in severe exacerbation history, but a significant difference was observed in moderate-to-severe exacerbation between the CB patients and non-CB patients (0.7 ± 1.6 vs 0.4 ± 1.2, respectively). Consistent with the previous two definitions, CB patients showed low BMI (22.7 ± 3.4 vs 23.1 ± 3.3, respectively), higher symptom scores on the mMRC (1.7 ± 1.0 vs 1.2 ± 0.9, respectively), higher CAT total score (22.8 ± 7.1 vs 12.1 ± 6.4, respectively), higher SGRQ total score (45.1 ± 20.6 vs 27.7 ± 16.1, respectively), and lower FEV1% predicted (58.7% ± 20.3% vs 63.1% ± 18.8%, respectively), FEV1/FVC (49.1% ± 13.0% vs 52.1% ± 12.1%, respectively), and DLCO (70.5 ± 22.5 vs 73.7 ± 22.9, respectively). RV/TLC was significantly different between the CB and non-CB groups (45.7 ± 13.7 vs 43.3 ± 14.2, respectively), whereas it was not significantly different using the previous two definitions.
Association of CB Phenotype by Each definition and Risk of Exacerbation
The result of multiple logistic regression to reveal an association between CB phenotype by each definition and risk of exacerbation is shown in Table 3. By three different models, the results consistently showed that CB phenotype, age and FEV1 were associated with high risk of exacerbation. The odds ratio for high risk with three CB definitions (classic, SGRQ, CAT) were 2.39, 1.83 and 1.69, respectively. ROC curve analysis was shown in Figure 1. Area under the curve (AUC) was calculated as 0.70, 0.71 and 0.70, respectively.
Table 3.
Variable | OR (95% CI) | P-value | Variable | OR (95% CI) | P-value | Variable | OR (95% CI) | p-value |
---|---|---|---|---|---|---|---|---|
CB (Classic) | 2.39 (1.53–3.73) | <0.01 | CB (SGRQ) | 1.83 (1.30–2.57) | <0.01 | CB (CAT) | 1.69 (1.17–2.44) | <0.01 |
Sex (male) | 1.39 (0.76–2.57) | 0.29 | Sex (male) | 1.54 (0.85–2.78) | 0.16 | Sex (male) | 1.58 (0.87–2.86) | 0.14 |
Age | 1.04 (1.02–1.07) | <0.01 | Age | 1.04 (1.02–1.07) | <0.01 | Age | 1.05 (1.02–1.07) | <0.01 |
Current smoker | 0.81 (0.52–1.26) | 0.35 | Current smoker | 0.75 (0.48–1.07) | 0.21 | Current smoker | 0.84 (0.54–1.31) | 0.43 |
FEV1 | 0.97 (0.96–0.98) | <0.01 | FEV1 | 0.97 (0.96–0.98) | <0.01 | FEV1 | 0.97 (0.96–0.98) | <0.01 |
Note: Hosmer and Lemeshow goodness-of-fit test: P-value was 0.37, 0.44, 0.61, respectively.
Abbreviations: OR, odd ratio; CI, confidence interval; CB, chronic bronchitis; CAT, COPD Assessment Test; SGRQ, St. George Respiratory Questionnaire; FEV1, forced expiratory volume in 1 second.
Discrepancies in Patient Groups Among the Three Different Definitions of CB
The discrepancies in patient groups among the three different definitions of CB are shown in Figure 2. Among the patients classified as CB by the classical definition, 87.3% and 68.5% were reclassified as CB according to the SGRQ and CAT definitions, respectively. In addition, among CB patients defined according to the SGRQ definition, 26.4% and 50.4% were classified as CB according to the classical and CAT definitions, respectively. Finally, in patients classified as CB according to the CAT definition, 30.3% and 75.0% were classified as CB according to the classical and SGRQ definitions, respectively.
We calculated the sensitivity, specificity, PPV, and NPV of the two new CB definitions (ie, SGRQ and CAT definitions) compared to the classical definition (Table 4). Classification of CB patients with the SGRQ definition showed sensitivity and specificity of 87.2% and 70.5%, respectively. In addition, the PPV and NPV were 26.4% and 97.9%, respectively, in comparison with the classical definition. Moreover, classification using the CAT definition showed sensitivity and specificity of 68.5% and 81.1%, respectively, compared with the classical definition. PPV and NPV were 30.3% and 95.6%, respectively.
Table 4.
SGRQ Definition | CAT Definition | |
---|---|---|
Sensitivity | 87.2 | 68.5 |
Specificity | 70.5 | 81.1 |
PPV | 26.4 | 30.3 |
NPV | 97.9 | 95.6 |
Abbreviations: SGRQ, St. George Respiratory Questionnaire; CAT, COPD Assessment Test; PPV, positive predictive value; NPV, negative predictive value.
Results of Kappa Coefficient Test
The results of Cohen’s kappa test of agreement between the three CB definitions are shown in Figure 3. The κ value for the classical definition and the SGRQ definition was 0.29, and that for the classical definition and the CAT definition was 0.32; thus, there was fair agreement in both cases. Moreover, the κ value for the SGRQ and CAT definitions was 0.44, indicating moderate agreement.
Discussion
The present study was performed to investigate two alternative definitions of CB, using SGRQ and CAT subscale scores pertaining to cough and sputum production, which could replace the classical definition. We compared the clinical parameters of CB and non-CB patients classified according to each definition, and the results showed that CB patients classified according to both alternative definitions showed similar results regarding clinical manifestations compared to those classified according to the classical definition. According to both of the new classifications, CB patients were more dyspneic, had more respiratory symptoms, suffered moderate-to-severe exacerbations more frequently, and had lower FEV1 and DLCO. Severe exacerbation tended to be more frequent in CB patients classified acceding to all three definitions, but statistical significance was found only with the SGRQ definition. By logistic regression analysis, our study proved that CB, defined by all three definitions, was an independent factor for high-risk COPD patients, and these three regression models showed similar performance in predicting high-risk COPD patients. These clinical characteristics of CB corresponded to those of patients with CB in previous studies.12–15,29,32 Furthermore, the RV/TLC was significantly higher in the CB group CB than the non-CB group classified according to the CAT definition (P<0.05). Although the same tendency was observed with the other definitions, it was not statistically significant in either case.
To determine the clinical importance of respiratory symptoms in COPD patients, many attempts have been made using various methods to classify patients into phenotypes based on such symptoms. In the 1960s, the Medical Research Council (MRC) committee developed the MRC questionnaire and performed an epidemiological investigation of chronic respiratory symptoms.33 They defined CB as persistence of cough and production of sputum on most days for 3 months each year, and this definition was widely used.34 However, different groups continued to use various methods to define CB, which made it difficult to compare the results between studies.35–37 Therefore, the American Thoracic Society (ATS) issued standardized questionnaires in 1978 to define CB, which was identical to the “classical definition” of CB used in our study.20,24
However, there may have been some recall bias using this definition, especially in elderly patients, because of the long-term evaluation period of 2 years.12,25 In addition, the term “3 months per year, for 2 consecutive years” may be confusing for both patients and doctors. Furthermore, this definition may be difficult to apply in analyses of retrospective cohort studies. Therefore, there have been a number of attempts to establish other definitions as alternatives to the classical definition, including using the SGRQ score.26,27,38
Kim et al compared an alternative definition of CB based on the SGRQ score with the classical definition and reported that CB patients classified according to both the classical and SGRQ definitions showed similar clinical and radiological characteristics.24 This previous study showed good sensitivity, specificity, and NPV (87%, 77%, and 95%, respectively), similar to our study. In addition, the kappa test showed moderate agreement (κ = 0.55), where this agreement was stronger than in our study. These results suggested that the SGRQ definition of CB is a good alternative to the classical definition. However, the PPV was significantly low (57%), as also observed in the present study. This may have been due to the SGRQ definition requiring patients to recall only 4 weeks of respiratory symptoms, in contrast to 2 consecutive years in the classical definition. Therefore, patients with only recent symptoms may have been classified as having CB according to the SGRQ definition, but not the classical definition.
Recently, Lim et al suggested that CAT subscale scores should be used to define CB.25 They investigated the prevalence of CB in their cohort to inform an adequate cut-off value to define the condition, and developed the CAT definition that was also used in our study. Consistent with our observations, they reported similar clinical and radiological outcomes between CB groups classified according to the SGRQ and CAT definitions. In the present study, we demonstrated good sensitivity, specificity, and NPV, with fair agreement between the classical and CAT definitions of CB based on the kappa coefficient. However, the PPV was somewhat low, which may have been due to the relatively short period of recall associated with the CAT questionnaires, similar to the SGRQ definition.
The prevalence of CB differed widely according to the definitions used in our study. The CB prevalence of 24% according to the CAT definition corresponded to previous population-based studies (14–30%) and was similar to the target value used when developing the definition (20.4%).17,25 However, the prevalence of CB according to the classical definition was 10.8% in the present study, which was lower than in previous studies. This may have been due to confusion with the phrase “2 consecutive years” used in the questionnaire, especially when translated into Korean.12 In addition, some studies may have classified more patients as having CB when they defined CB based on sputum alone, or used a shorter evaluation period. The CB prevalence according to the SGRQ definition was highest in our study, consistent with two previous studies.24,25 This may also have been due to the short evaluation period, such that patients with acute symptoms may have been diagnosed as CB.
This study had some limitations. First, due to its cross-sectional design, further longitudinal studies are needed to validate the new CB definitions. Second, the CAT definition of CB has only been evaluated in the South Korean population.25 As our study showed that CB patients classified using the classical definition constituted a lower proportion of COPD compared to previous studies, the cutoff value of CAT1/2 used in the CAT definition may need to be readjusted for use in other populations worldwide.
Despite these limitations, this study had a number of strengths. First, we demonstrated the validity of the CAT score for defining CB. As the SGRQ requires considerable time for completion, it is difficult to use routinely in clinical practice. Therefore, the SGRQ has generally been used for research purposes. However, the CAT score can be administered more rapidly than the SGRQ, making it suitable for routine use in clinical practice. Therefore, defining CB according to the CAT score, as in our study, may allow clinicians to identify CB patients more easily and thus improve the quality of medical services. Second, the analyses in our study were performed in a large number of patients from the KOCOSS cohort database over a period of 6 years.
In this study, CB patients classified according to new definitions of CB based on SGRQ and CAT scores showed similar clinical characteristics to those classified according to the classical definition. The favorable sensitivity, specificity, and NPV, and fair kappa agreement score suggested that the new CB definitions may be used as alternatives to the classical definition.
Acknowledgment
This research was supported by a fund (2016ER670100, 2016ER670101, 2016ER670102 & 2018ER670100, 2018ER670101) by Research of Korea Centers for Disease Control and Prevention.
Data Sharing Statement
Our data is not freely available, and review/approval by IRB is required to be used.
Disclosure
The authors have no conflicts of interest.
References
- 1.Lopez-Campos JL, Tan W, Soriano JB. Global burden of COPD. Respirology. 2016;21(1):14–23. doi: 10.1111/resp.12660 [DOI] [PubMed] [Google Scholar]
- 2.Kim C, Kim Y, Yang DW, et al. Direct and indirect costs of chronic obstructive pulmonary disease in Korea. Tuberc Respir Dis (Seoul). 2019;82(1):27–34. doi: 10.4046/trd.2018.0035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kim V, Han MK, Vance GB, et al. The chronic bronchitic phenotype of COPD: an analysis of the COPDGene Study. Chest. 2011;140(3):626–633. doi: 10.1378/chest.10-2948 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Mirza S, Benzo R. Chronic obstructive pulmonary disease phenotypes: implications for care. Mayo Clin Proc. 2017;92(7):1104–1112. doi: 10.1016/j.mayocp.2017.03.020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Friedlander AL, Lynch D, Dyar LA, Bowler RP. Phenotypes of chronic obstructive pulmonary disease. COPD. 2007;4(4):355–384. doi: 10.1080/15412550701629663 [DOI] [PubMed] [Google Scholar]
- 6.Miravitlles M, Soler-Cataluna JJ, Calle M, Soriano JB. Treatment of COPD by clinical phenotypes: putting old evidence into clinical practice. Eur Respir J. 2013;41(6):1252–1256. doi: 10.1183/09031936.00118912 [DOI] [PubMed] [Google Scholar]
- 7.Kania A, Krenke R, Kuziemski K, et al. Distribution and characteristics of COPD phenotypes - results from the polish sub-cohort of the POPE study. Int J Chron Obstruct Pulmon Dis. 2018;13:1613–1621. doi: 10.2147/COPD.S154716 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hogg JC, Chu F, Utokaparch S, et al. The nature of small-airway obstruction in chronic obstructive pulmonary disease. N Engl J Med. 2004;350(26):2645–2653. doi: 10.1056/NEJMoa032158 [DOI] [PubMed] [Google Scholar]
- 9.Saetta M, Turato G, Baraldo S, et al. Goblet cell hyperplasia and epithelial inflammation in peripheral airways of smokers with both symptoms of chronic bronchitis and chronic airflow limitation. Am J Respir Crit Care Med. 2000;161(3 Pt 1):1016–1021. doi: 10.1164/ajrccm.161.3.9907080 [DOI] [PubMed] [Google Scholar]
- 10.Kim V, Kelemen SE, Abuel-Haija M, et al. Small airway mucous metaplasia and inflammation in chronic obstructive pulmonary disease. COPD. 2008;5(6):329–338. doi: 10.1080/15412550802522445 [DOI] [PubMed] [Google Scholar]
- 11.Kim V, Rogers TJ, Criner GJ. New concepts in the pathobiology of chronic obstructive pulmonary disease. Proc Am Thorac Soc. 2008;5(4):478–485. doi: 10.1513/pats.200802-014ET [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Choi JY, Yoon HK, Park SJ, et al. Chronic bronchitis is an independently associated factor for more symptom and high-risk groups. Int J Chron Obstruct Pulmon Dis. 2016;11:1335–1341. doi: 10.2147/COPD.S105516 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Meek PM, Petersen H, Washko GR, et al. Chronic bronchitis is associated with worse symptoms and quality of life than chronic airflow obstruction. Chest. 2015;148(2):408–416. doi: 10.1378/chest.14-2240 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kim V, Criner GJ. The chronic bronchitis phenotype in chronic obstructive pulmonary disease: features and implications. Curr Opin Pulm Med. 2015;21(2):133–141. doi: 10.1097/MCP.0000000000000145 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Yoo SH, Lee JH, Yoo KH, Jung KS, Rhee CK. Different pattern of chronic obstructive pulmonary disease assessment test score between chronic bronchitis and non-chronic bronchitis patients. Tuberc Respir Dis (Seoul). 2018;81(3):228–232. doi: 10.4046/trd.2017.0088 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Lahousse L, Seys LJM, Joos GF, Franco OH, Stricker BH, Brusselle GG. Epidemiology and impact of chronic bronchitis in chronic obstructive pulmonary disease. Eur Respir J. 2017;50(2). doi: 10.1183/13993003.02470-2016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Corhay JL, Vincken W, Schlesser M, Bossuyt P, Imschoot J. Chronic bronchitis in COPD patients is associated with increased risk of exacerbations: a cross-sectional multicentre study. Int J Clin Pract. 2013;67(12):1294–1301. doi: 10.1111/ijcp.12248 [DOI] [PubMed] [Google Scholar]
- 18.Ferre A, Fuhrman C, Zureik M, et al. Chronic bronchitis in the general population: influence of age, gender and socio-economic conditions. Respir Med. 2012;106(3):467–471. doi: 10.1016/j.rmed.2011.12.002 [DOI] [PubMed] [Google Scholar]
- 19.de Oca MM, Halbert RJ, Lopez MV, et al. The chronic bronchitis phenotype in subjects with and without COPD: the PLATINO study. Eur Respir J. 2012;40(1):28–36. doi: 10.1183/09031936.00141611 [DOI] [PubMed] [Google Scholar]
- 20.Ferris BG. Epidemiology standardization project (American thoracic society). Am Rev Respir Dis. 1978;118(6 Pt 2):1–120. [PubMed] [Google Scholar]
- 21.Hurst JR, Vestbo J, Anzueto A, et al. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N Engl J Med. 2010;363(12):1128–1138. doi: 10.1056/NEJMoa0909883 [DOI] [PubMed] [Google Scholar]
- 22.Pallasaho P, Lundback B, Laspa SL, et al. Increasing prevalence of asthma but not of chronic bronchitis in Finland? Report from the FinEsS-Helsinki study. Respir Med. 1999;93(11):798–809. doi: 10.1016/S0954-6111(99)90265-2 [DOI] [PubMed] [Google Scholar]
- 23.Vestbo J, Prescott E, Lange P. Association of chronic mucus hypersecretion with FEV1 decline and chronic obstructive pulmonary disease morbidity. Copenhagen City heart study group. Am J Respir Crit Care Med. 1996;153(5):1530–1535. doi: 10.1164/ajrccm.153.5.8630597 [DOI] [PubMed] [Google Scholar]
- 24.Kim V, Crapo J, Zhao H, et al. Comparison between an alternative and the classic definition of chronic bronchitis in COPDGene. Ann Am Thorac Soc. 2015;12(3):332–339. doi: 10.1513/AnnalsATS.201411-518OC [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Lim JU, Lee JH, Kim TH, et al. Alternative definitions of chronic bronchitis and their correlation with CT parameters. Int J Chron Obstruct Pulmon Dis. 2018;13:1893–1899. doi: 10.2147/COPD.S164055 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Han MK, Kim V, Martinez CH, et al. Significance of chronic bronchitis in the COPD CRN Azithromycin in COPD Study [abstract]. Am J Respir Crit Care Med 2012;185:A3736. [Google Scholar]
- 27.Kim V, Sternberg AL, Washko G, et al. Severe chronic bronchitis in advanced emphysema increases mortality and hospitalizations. COPD. 2013;10(6):667–678. doi: 10.3109/15412555.2013.827166 [DOI] [PubMed] [Google Scholar]
- 28.Jones PW, Quirk FH, Baveystock CM, Littlejohns P. A self-complete measure of health status for chronic airflow limitation. The St. George’s respiratory questionnaire. Am Rev Respir Dis. 1992;145(6):1321–1327. doi: 10.1164/ajrccm/145.6.1321 [DOI] [PubMed] [Google Scholar]
- 29.Mejza F, Gnatiuc L, Buist AS, et al. Prevalence and burden of chronic bronchitis symptoms: results from the BOLD study. Eur Respir J. 2017;50(5):1700621. doi: 10.1183/13993003.00621-2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mullerova H, Shukla A, Hawkins A, Quint J. Risk factors for acute exacerbations of COPD in a primary care population: a retrospective observational cohort study. BMJ Open. 2014;4(12):e006171. doi: 10.1136/bmjopen-2014-006171 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–174. doi: 10.2307/2529310 [DOI] [PubMed] [Google Scholar]
- 32.Kim V, Criner GJ. Chronic bronchitis and chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013;187(3):228–237. doi: 10.1164/rccm.201210-1843CI [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Samet JM. A historical and epidemiologic perspective on respiratory symptoms questionnaires. Am J Epidemiol. 1978;108(6):435–446. doi: 10.1093/oxfordjournals.aje.a112642 [DOI] [PubMed] [Google Scholar]
- 34.McNab GR, Slator EJ, Stewart CJ. Response to a questionnaire on chronic bronchitic symptoms in East Anglia. Br J Prev Soc Med. 1966;20(4):181–188. doi: 10.1136/jech.20.4.181 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Chronic bronchitis in Great Britain: national survey carried out by the respiratory diseases study group of the college of general practitioners. Br Med J. 1961;2(5258):973–979. doi: 10.1136/bmj.2.5258.973 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Gillam PM, Heaf PJ, Hoffbrand BI, Hilton G. Chronic bronchitis and radiotherapy of the lung. Lancet. 1964;1(7345):1245–1248. doi: 10.1016/S0140-6736(64)91870-7 [DOI] [PubMed] [Google Scholar]
- 37.Thurlbeck WM, Angus GE. A distribution curve for chronic bronchitis. Thorax. 1964;19:436–442. doi: 10.1136/thx.19.5.436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Albert RK, Connett J, Bailey WC, et al. Azithromycin for prevention of exacerbations of COPD. N Engl J Med. 2011;365(8):689–698. doi: 10.1056/NEJMoa1104623 [DOI] [PMC free article] [PubMed] [Google Scholar]