This article has Open Peer Review reports available.
Validity of a questionnaire-based diagnosis of chronic obstructive pulmonary disease in a general population-based study
© Murgia et al.; licensee BioMed Central Ltd. 2014
Received: 5 August 2013
Accepted: 7 March 2014
Published: 21 March 2014
The diagnosis of chronic obstructive pulmonary disease (COPD) is based on airflow obstruction. In epidemiological studies, spirometric data have often been lacking and researchers have had to rely almost solely on questionnaire answers. The aim of this study is to assess the diagnostic accuracy of questionnaire answers to detect COPD.
A sample of the Swedish general population without physician-diagnosed asthma was randomly selected and interviewed using a respiratory questionnaire. All eligible subjects aged 25–75 years (n = 3892) performed spirometry for detection of airflow obstruction using Global Initiative for Chronic Obstructive Lung Disease (GOLD) or American Thoracic Society (ATS)/European Respiratory Society (ERS) criteria. Sensitivity, specificity, positive likelihood ratio (LR+), positive predictive values (PPVs), and negative predictive values (NPVs) were calculated to define diagnostic accuracy of questionnaire answers.
The sensitivity of the question “Have you been diagnosed by a physician as having COPD or emphysema?” in detecting airflow obstruction was 5.7% using GOLD, and 9.8% using ATS/ERS, criteria; specificity was 99.7% for GOLD and 99.5% for ATS/ERS. Sensitivity, specificity, and PPV were higher for the question compared to self-reported symptoms of chronic bronchitis in identifying subjects with airflow obstruction.
The high specificity and good PPV suggest that the question “Have you been diagnosed by a physician as having COPD or emphysema?” is more likely to identify those who do not have airflow obstruction, whereas the low sensitivity of this question could underestimate the real burden of COPD in the general population.
KeywordsAirway obstruction Spirometry Sensitivity Accuracy ATS/ERS GOLD
Chronic obstructive lung disease (COPD) continues to be an important source of morbidity and mortality and a socioeconomic burden worldwide despite the attention paid by the scientific community and the availability of guidelines and recommendations on prevention, diagnosis, and treatment [1, 2]. Unfortunately, there is still no consensus on the criteria for diagnosis of COPD. Nonetheless, airflow obstruction is commonly recognized as a key feature of COPD, and spirometry is the routine procedure of choice for detecting airflow obstruction and diagnosis of COPD [2, 3].
The degree of airway obstruction that characterizes COPD is still under discussion since the Global Initiative for Chronic Obstructive Lung Disease (GOLD) has proposed a fixed post-bronchodilator ratio of forced expiratory volume in 1 second (FEV1) to forced vital capacity (FVC) of <0.70  as its criterion. This is widely applied, also for its practicability, but has been criticized for the risk of overdiagnosis . Other authors, on behalf of the American Thoracic Society (ATS) and the European Respiratory Society (ERS), have defined airway obstruction as a reduction in FEV1/FVC below the age-, gender-, and race-adjusted fifth percentile of a healthy, never-smoking population, which is regarded as the lower limit of normal (LLN) (FEV1/FVC/LLN) . Use of this definition reduces the risk of overdiagnosing the disease, especially in elderly subjects .
According to the GOLD definition, even if dyspnoea, chronic cough, and chronic sputum production are often associated with COPD, the definition of COPD does not include the terms “chronic bronchitis” or “emphysema” [2, 4]. In epidemiological studies, especially in follow-up, questionnaire-based surveys, or in large, population-based investigations, spirometric data are often lacking and researchers have to rely almost solely on subjects’ answers. As the questions were originally designed for detecting asthma [8, 9], validity of questionnaires in detecting COPD needs to be checked against a diagnostic gold standard for the disease. Although agreement still needs to be reached on a definition of airway obstruction criteria for COPD, some researchers have tried to validate specific questionnaires based on symptoms and other variables in high risk populations (smokers). They found that an association of several questions, coupled with a scoring system, could yield reasonable sensitivity and specificity to detect airflow obstruction in these high risk groups [10, 11]. In another study, out of a small sample of nurses reporting physician-diagnosed COPD, 27% had airflow obstruction .
The objective of this study is to assess, in a large sample of the general population, the validity of questionnaire answers to detect COPD, compared to current definitions of COPD, based on airflow obstruction.
Population and questionnaire
A general population sample of 6685 men and women 25–75 years old was randomly selected from the population register in Göteborg, Sweden, and sent a postal questionnaire and an invitation to undergo a clinical examination, as previously described [13, 14]. The study population was recruited in 2001. The key question about physician-diagnosed COPD was introduced in 2004 and the present study was completed in 2008. Altogether 4520 men and women answered the questionnaire. An affirmative answer to the question “Have you been diagnosed by a physician as having COPD or emphysema?” defines the doctor-diagnosed COPD category. Respondents reporting cough and phlegm for at least 3 months within 1 year for 2 consecutive years fell into the chronic bronchitis category. The questionnaire also included questions about age, sex, height, weight, smoking habits, current respiratory therapy, respiratory symptoms, respiratory infections in the last year, and the question “Have you been diagnosed by a physician as having asthma?” Respondents (n = 315) with physician-diagnosed asthma were excluded, as well the 21 respondents not answering the question regarding asthma. Another 292 respondents were excluded due to missing information about spirometry and smoking habits, yielding a final number of 3892 study subjects. The study was approved by the Ethical Committee of Göteborg University (No. 237/2000) and all subjects gave their informed consent.
Before the spirometry, subjects were weighed and height was measured with subjects barefoot and wearing light clothes. Spirometry was performed with a dry wedge spirometer (Vitalograph; Buckingham, UK). Forced expiratory volume in 1 second and FVC were expressed in liters. Percentages of predicted values of lung function variables (i.e., FEV1, and FEV1/FVC ratio) were calculated using the European Community for Steel and Coal (ECSC)/ERS equation . No broncho-reversibility test with short-acting bronchodilators was performed. A FEV1/FVC ratio <0.7 indicates airway obstruction according to GOLD criteria [4, 16] and a FEV1/FVC <1.645 × residual standard deviation (RSD) below the predicted value was used as estimation of the LLN, which is the criterion used by the ATS/ERS for defining airway obstruction [6, 15].
Continuous data are expressed as mean ± standard deviation (SD), whereas categorical data are presented as numbers and percentages. We used sensitivity, specificity, positive likelihood ratio (LR+), positive predictive values (PPVs), and negative predictive values (NPVs) to define the diagnostic accuracy of the questions, indicating self-reported, physician-diagnosed COPD and calculated for each COPD definition (GOLD and LLN-based) with 95% confidence intervals (CIs). We also assessed accuracy parameters in a sample of the population aged >40 years, in subjects not reporting wheezing, and in subcategories by gender and smoking habits (never-smokers, former smokers, current smokers). All calculations were performed with SPSS 18.0 (IBM Corp., New York, NY, USA) and Simple Interactive Statistical Analysis (SISA) free software .
Characteristics of the study population
FEV1/FVC <0.7 (GOLD) n = 366*
FEV1/FVC <1.645 SD below predicted (ATS/ERS) n = 163*
All N = 3,892
Chronic bronchitis symptoms,%
Age (mean ± SD), yrs
58.3 ± 9.5
54.9 ± 10.3
51.7 ± 10.6
BMI (mean ± SD), kg/m2
25.6 ± 3.9
25 ± 3.8
26.1 ± 4
FEV1 (L) (mean ± SD)
2.7 ± 0.8
2.5 ± 0.8
3.3 ± 0.8
FEV1% (mean ± SD)
65.1 ± 5.3
61.9 ± 6.3
78.0 ± 6.3
FEV1/FVC (mean ± SD)
64.9 ± 5.3
61.7 ± 6.3
77.9 ± 6.4
Treatment with respiratory drugs,%
Pack/years in current and former smokers (mean ± SD)
22.6 ± 15.5
22.2 ± 13.8
15 ± 12.2
Diagnostic accuracy of the question “Have you been diagnosed by a physician as having COPD or emphysema?” and of self-reported, questionnaire-based chronic bronchitis symptoms to detect chronic obstructive pulmonary disease (COPD)
FEV1/FVC <0.7 (GOLD)
FEV1/FVC <1.645 SD below predicted (ATS/ERS)
Chronic bronchitis symptoms
Diagnostic accuracy of the question “Have you been diagnosed by a physician as having COPD or emphysema?” and of self-reported, questionnaire-based chronic bronchitis symptoms to detect chronic obstructive pulmonary disease (COPD) in men and women
FEV1/FVC <0.7 (GOLD)
FEV1/FVC <1.645 SD below predicted (ATS/ERS)
Chronic bronchitis symptoms
Diagnostic accuracy of the question “Have you been diagnosed by a physician as having COPD or emphysema?” to detect chronic obstructive pulmonary disease (COPD), in non-smokers, ex-smokers, and current smokers
FEV1/FVC <0.7 (GOLD)
FEV1/FVC <1.645 SD below predicted (ATS/ERS)
Diagnostic accuracy of self-reported, questionnaire-based chronic bronchitis symptoms to detect chronic obstructive pulmonary disease (COPD), in non-smokers, ex-smokers, and current smokers
FEV1/FVC <0.7 (GOLD)
FEV1/FVC <1.645 SD below predicted (ATS/ERS)
Diagnostic accuracy of the questionnaire
The question “Have you been diagnosed by a physician as having COPD or emphysema?” is commonly used in population-based epidemiological studies. In this general population-based study, it scored low sensitivity (5.7% for GOLD and 9.8% for LLN) and high specificity to detect significant airflow obstruction according to GOLD guidelines (99.7%) and ATS/ERS recommendations based on LLN (99.5%), as well as a rather high LR + and a reasonable PPV (63.6% and 48.5% for GOLD and LLN, respectively). These results suggest that the question is truly associated with COPD and prevents misclassification of non-COPD subjects by spirometry. Unfortunately, the low sensitivity implies that a significant number of subjects with COPD cannot be identified by this question, and reflects the well-known underdiagnosis of COPD by physicians , even using the more stringent LLN criteria . However, in analytical epidemiological studies, especially when the aim is to evaluate a risk factor, it is preferable to have a test/question with very high specificity and lower sensitivity, to avoid false positive findings and, consequently, bias in risk estimates . Analyzing a subsample of subjects >40 years old, at which age the disease is more likely to be diagnosed, did not significantly change the results.
The accuracy of questionnaire items to identify COPD has previously been criticized  and they will never replace spirometry to make diagnosis . Unsurprisingly, the sensitivity in detecting COPD through asking the question “Have you been diagnosed by a physician as having COPD or emphysema?” is lower compared to that of the question “Have you been diagnosed by a physician as having asthma?” in defining true asthma cases  because asthma is more widely known to patients and physicians. Recently, the accuracy of questionnaire items in defining COPD was assessed with the main purpose of developing a screening tool for primary care [11, 22]; in these studies, a set of mixed questions on symptoms and personal information achieved good sensitivity and reasonable specificity. However, they included only high risk groups (smokers), excluding those with a self-reported doctor diagnosis of COPD, making comparison impossible. In another study, female nurses reporting a physician diagnosis of COPD were selected to perform pulmonary function tests. The results showed a slightly higher accuracy than seen in our population . This could possibly be explained by the sample selection. Health care professionals, because of their education, are probably more likely to correctly report their medical history compared to non-health care professionals. Moreover, since women are less likely than men with an identical medical history to receive a physician diagnosis of COPD , women have a higher probability of having COPD when reporting physician-diagnosed COPD, as also shown in our data (Table 3). Not surprisingly, the question about COPD was more accurate in indicating airway obstruction compared to the combination of questions that defined chronic bronchitis (cough and phlegm for at least 3 months, 2 years consecutively). This suggests that subjects other than persons with COPD (e.g., subjects with asthma or repeated respiratory infections) also reported these symptoms. In fact, subjects with chronic bronchitis have a higher rate of respiratory infections (40%) compared to subjects with COPD (33.1%) and the general population (33.2%) (data not shown). Surprisingly, just 6.1% of the participants with a history of physician-diagnosed COPD had chronic bronchitis symptoms, suggesting that COPD could be underdiagnosed or misdiagnosed. Given the high number of subjects with wheeze (24.6% using the GOLD definition and 31.3% with the LLN definition), we cannot exclude that asthma was also underdiagnosed or underreported in our population. However, wheezing is often also associated with COPD  and the results did not change significantly when the analysis was performed in the subjects not reporting wheezing (data nor shown).
The accuracy of questionnaire questions in detecting airflow obstruction did not differ between men and women. The reported question on doctor-diagnosed COPD showed higher sensitivity in detecting COPD in smokers compared to non-smokers, whereas the PPV was higher in current smokers than in non-smokers. Just one non-smoker reported doctor-diagnosed COPD, but in non-smokers there was no false positive result. This interaction of smoking habits with the accuracy of the question is not unexpected and could be related to the well-known underdiagnosis of COPD in primary care, where physicians are more likely to make the diagnosis if the patient is a smoker .
In the present study, chronic bronchitis symptoms were fairly common in those who were excluded because of reporting physician-diagnosed asthma (8.6%), higher than in subjects with COPD according to either the GOLD or the LLN definition (data not shown).
In this study, only pre-bronchodilator spirometric data was available. Because the GOLD guidelines give a FEV1/FVC ratio of <0.7 as cutoff point to diagnose COPD, based on post-bronchodilator data, and the American College of Chest Physicians, American College of Physicians, ATS, and ERS define COPD as a disease characterized by an airflow obstruction not fully reversible , this could be considered the main limitation of this study, bearing to an overdiagnosis of COPD. Anyway, the prevalence of COPD in our sample of the general population was lower than expected, based on previous studies [26, 27], even if the FEV1/FVC ratio was derived from pre-bronchodilator data. Nonetheless, in another, similar study, a pre-bronchodilator FEV1/FVC ratio was accepted  and at the time the present study was performed the guideline of the UK National Institute for Clinical Excellence did not consider spirometric reversibility testing a necessary part of the diagnostic process . As a matter of fact, the bronchodilator response suffers from a lack of reproducibility [30, 31], being influenced by smoking habits and other parameters , and failed to discriminate between asthma and COPD [31, 33]. However is undeniable that pharmacological bronchodilation with salbutamol would influence FEV1/FVC ratio, increasing it in normal subjects and in patients with mild stages of COPD . This expected increase could affect sensitivity and other measures of validity in this study. Unfortunately the variability of post-bronchodilator response in FEV1/FVC found in other studies [34, 35] and the lack of data on post-bronchodilator response in our study makes very difficult to estimate this effect in our population.
The choice of using the European Community for Steel and Coal (ECSC)/ERS equation  to calculate LLN could be another limitation, since it will not take in consideration the non-linear decline of FEV1 related to the age. Nevertheless the aim of this study was to assess the diagnostic accuracy of a questionnaire and, to make our results comparable and applicable in clinical and epidemiological practice, we had to rely on those methods still most widely used, despite some relevant limitations.
The Finally, the subjects we excluded because they did not respond to the questions regarding smoking could have biased our accuracy estimates. However, a further analysis including these subjects confirmed our results (data not shown).
This was the first study to assess the accuracy in detecting COPD through a frequently used questionnaire item. The high specificity and good PPV suggest that the question “Have you been diagnosed by a physician as having COPD or emphysema?” is more likely to identify those who do not have the disease, whereas the low sensitivity of this question could underestimate the real burden of COPD in the general population.
The authors would thank Proper English AB for the excellent language support.
The excellent technical assistance of Marianne Andersson and Kristina Wass is gratefully acknowledged.
- Mannino DM, Buist AS: Global burden of COPD: risk factors, prevalence, and future trends. Lancet. 2007, 370 (9589): 765-773. 10.1016/S0140-6736(07)61380-4.View ArticlePubMedGoogle Scholar
- Rabe KF, Hurd S, Anzueto A, Barnes PJ, Buist SA, Calverley P, Fukuchi Y, Jenkins C, Rodriguez-Roisin R, van Weel C, Zielinski J, Global Initiative for Chronic Obstructive Lung Disease: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007, 176 (6): 532-555. 10.1164/rccm.200703-456SO.View ArticlePubMedGoogle Scholar
- Qaseem A, Wilt TJ, Weinberger SE, Hanania NA, Criner G, van der Molen T, Marciniuk DD, Denberg T, Schünemann H, Wedzicha W, MacDonald R, Shekelle P, American College of Physicians; American College of Chest Physicians; American Thoracic Society; European Respiratory Society: Diagnosis and management of stable chronic obstructive pulmonary disease: a clinical practice guideline update from the American college of physicians, American college of chest physicians, American thoracic society, and European respiratory society. Ann Intern Med. 2011, 155 (3): 179-191. 10.7326/0003-4819-155-3-201108020-00008.View ArticlePubMedGoogle Scholar
- Pauwels RA, Buist AS, Ma P, Jenkins CR, Hurd SS, GOLD Scientific Committee: Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: national heart, lung, and blood institute and world health organization global initiative for chronic obstructive lung disease (GOLD): executive summary. Respir Care. 2001, 46 (8): 798-825.PubMedGoogle Scholar
- Townsend MC: Conflicting definitions of airways obstruction drawing the line between normal and abnormal. Chest. 2007, 131 (2): 335-336. 10.1378/chest.06-2736.View ArticlePubMedGoogle Scholar
- Pellegrino R, Viegi G, Brusasco V, Crapo RO, Burgos F, Casaburi R, Coates A, van der Grinten CP, Gustafsson P, Hankinson J, Jensen R, Johnson DC, MacIntyre N, McKay R, Miller MR, Navajas D, Pedersen OF, Wanger J: Interpretative strategies for lung function tests. Eur Respir J. 2005, 26 (5): 948-968. 10.1183/09031936.05.00035205.View ArticlePubMedGoogle Scholar
- Hansen JE, Sun XG, Wasserman K: Spirometric criteria for airway obstruction: use percentage of FEV1/FVC ratio below the fifth percentile, not < 70%. Chest. 2007, 131 (2): 349-355. 10.1378/chest.06-1349.View ArticlePubMedGoogle Scholar
- Torén K, Brisman J, Järvholm B: Asthma and asthma-like symptoms in adults assessed by questionnaires. A literature review. Chest. 1993, 104 (2): 600-608. 10.1378/chest.104.2.600.View ArticlePubMedGoogle Scholar
- Torén K, Palmqvist M, Löwhagen O, Balder B, Tunsäter A: Self-reported asthma was biased in relation to disease severity while reported year of asthma onset was accurate. J Clin Epidemiol. 2006, 59 (1): 90-93. 10.1016/j.jclinepi.2005.03.019.View ArticlePubMedGoogle Scholar
- Mintz ML, Yawn BP, Mannino DM, Donohue JF, Hanania NA, Grellet CA, Gilsenan AW, McLeod LD, Dalal AA, Raphiou IH, Prillaman BA, Crater GD, Cicale MJ, Mapel DW: Prevalence of airway obstruction assessed by lung function questionnaire. Mayo Clin Proc. 2011, 86 (5): 375-381. 10.4065/mcp.2010.0787.View ArticlePubMedPubMed CentralGoogle Scholar
- Price DB, Tinkelman DG, Nordyke RJ, Isonaka S, Halbert RJ, OPD Questionnaire Study Group: Scoring system and clinical application of COPD diagnostic questionnaires. Chest. 2006, 129 (6): 1531-1539. 10.1378/chest.129.6.1531.View ArticlePubMedGoogle Scholar
- Barr RG, Herbstman J, Speizer FE, Camargo CA: Validation of self-reported chronic obstructive pulmonary disease in a cohort study of nurses. Am J Epidemiol. 2002, 155 (10): 965-971. 10.1093/aje/155.10.965.View ArticlePubMedGoogle Scholar
- Olin AC, Rosengren A, Thelle DS, Lissner L, Bake B, Torén K: Height, age, and atopy are associated with fraction of exhaled nitric oxide in a large adult general population sample. Chest. 2006, 130 (5): 1319-1325. 10.1378/chest.130.5.1319.View ArticlePubMedGoogle Scholar
- Olin AC, Bake B, Torén K: Fraction of exhaled nitric oxide at 50 mL/s: reference values for adult lifelong never-smokers. Chest. 2007, 131 (6): 1852-1856. 10.1378/chest.06-2928.View ArticlePubMedGoogle Scholar
- Quanjer PH, Tammeling GJ, Cotes JE, Pedersen OF, Peslin R, Yernault JC: Lung volumes and forced ventilatory flows. Report working party standardization of lung function tests, European community for steel and coal. Official statement of the European respiratory society. Eur Respir J Suppl. 1993, 16: 5-40.View ArticlePubMedGoogle Scholar
- Global Initiative for Chronic Obstructive Lung Disease (GOLD): Global strategy for the diagnosis, management and prevention of chronic pulmonary disease. 2011, [http://www.goldcopd.org/Guidelines/guidelines-resources.html]Google Scholar
- Simple Interactive Statistical Analysis (SISA) free software,Southampton,UK. 2013, Available at [http://www.quantitativeskills.com/sisa/statistics/diagnos.htm]
- Viegi G, Pistelli F, Sherrill DL, Maio S, Baldacci S, Carrozzi L: Definition, epidemiology and natural history of COPD. Eur Respir J. 2007, 30 (5): 993-1013. 10.1183/09031936.00082507.View ArticlePubMedGoogle Scholar
- Copeland KT, Checkoway H, McMichael AJ, Holbrook RH: Bias due to misclassification in the estimation of relative risk. Am J Epidemiol. 1977, 105 (5): 488-495.PubMedGoogle Scholar
- Kotz D, Nelemans P, Van Schayck CP, Wesseling GJ: External validation of a COPD diagnostic questionnaire. Eur Respir J. 2008, 31 (2): 298-303. 10.1183/09031936.00074307.View ArticlePubMedGoogle Scholar
- Mannino DM: Searching for COPD: are questionnaires the answer?. COPD. 2010, 7 (5): 313-314. 10.3109/15412555.2010.512510.View ArticlePubMedGoogle Scholar
- Lyngsø AM, Backer V, Gottlieb V, Nybo B, Ostergaard MS, Frølich A: Early detection of COPD in primary care–the Copenhagen COPD Screening Project. BMC Public Health. 2010, 10: 524-10.1186/1471-2458-10-524.View ArticlePubMedPubMed CentralGoogle Scholar
- Chapman KR, Tashkin DP, Pye DJ: Gender bias in the diagnosis of COPD. Chest. 2001, 119 (6): 1691-1695. 10.1378/chest.119.6.1691.View ArticlePubMedGoogle Scholar
- Schneider A, Ay M, Faderl B, Linde K, Wagenpfeil S: Diagnostic accuracy of clinical symptoms in obstructive airway diseases varied within different health care sectors. J Clin Epidemiol. 2012, 65 (8): 846-854. 10.1016/j.jclinepi.2011.12.014.View ArticlePubMedGoogle Scholar
- Bednarek M, Maciejewski J, Wozniak M, Kuca P, Zielinski J: Prevalence, severity and underdiagnosis of COPD in the primary care setting. Thorax. 2008, 63 (5): 402-407. 10.1136/thx.2007.085456.View ArticlePubMedGoogle Scholar
- Soriano JB, Rodríguez-Roisin R: Chronic obstructive pulmonary disease overview: epidemiology, risk factors, and clinical presentation. Proc Am Thorac Soc. 2011, 8 (4): 363-367. 10.1513/pats.201102-017RM.View ArticlePubMedGoogle Scholar
- Hagstad S, Ekerljung L, Lindberg A, Backman H, Rönmark E, Lundbäck B: COPD among non-smokers – report from the obstructive lung disease in Northern Sweden (OLIN) studies. Respir Med. 2012, 106 (7): 980-988. 10.1016/j.rmed.2012.03.010.View ArticlePubMedGoogle Scholar
- Ulrik CS, Løkke A, Dahl R, Dollerup J, Hansen G, Cording PH, Andersen KK, TOP study group: Early detection of COPD in general practice. Int J Chron Obstruct Pulmon Dis. 2011, 6: 123-127.View ArticlePubMedPubMed CentralGoogle Scholar
- National Institute for Clinical Excellence (NICE): Chronic obstructive pulmonary disease: national clinical guideline for management of chronic obstructive pulmonary disease in adults in primary and secondary care. Thorax. 2004, 59 (Suppl 1): 1-232.Google Scholar
- Levy ML, Quanjer PH, Booker R, Cooper BG, Holmes S, Small I, General Practice Airways Group: Diagnostic spirometry in primary care: proposed standards for general practice compliant with American thoracic society and European respiratory society recommendations: a general practice airways group (GPIAG). Prim Care Respir J. 2009, 18 (3): 130-147. 10.4104/pcrj.2009.00054.View ArticlePubMedGoogle Scholar
- Calverley PM, Burge PS, Spencer S, Anderson JA, Jones PW: Bronchodilator reversibility testing in chronic obstructive pulmonary disease. Thorax. 2003, 58 (8): 659-664. 10.1136/thorax.58.8.659.View ArticlePubMedPubMed CentralGoogle Scholar
- Lehmann S, Bakke PS, Eide GE, Humerfelt S, Gulsvik A: Bronchodilator reversibility testing in an adult general population; The importance of smoking and anthropometrical variables on the response to a B2-agonist. Pulm Pharmacol Ther. 2006, 19 (4): 272-280. 10.1016/j.pupt.2005.07.006.View ArticlePubMedGoogle Scholar
- Meslier N, Racineux JL, Six P, Lockhart A: Diagnostic value of reversibility of chronic airway obstruction to separate asthma from chronic bronchitis: a statistical approach. Eur Respir J. 1989, 2 (6): 497-505.PubMedGoogle Scholar
- Ibert P, Agusti A, Edwards L, TalSinger R, Yates J, Bakke P, Celli BR, Coxson HO, Crim C, Lomas DA, Macnee W, Miller B, Rennard S, Silverman EK, Vestbo J, Wouters E, Calverley P: Bronchodilator responsiveness as a phenotypic characteristic of established chronic obstructive pulmonary disease. Thorax. 2012, 67 (8)): 701-708.Google Scholar
- Schermer T, Heijdra Y, Zadel S, van den Bemt L, Boonman-de Winter L, Dekhuijzen R, Smeele I: Flow and volume responses after routine salbutamol reversibility testing in mild to very severe COPD. Respir Med. 2007, 101 (6): 1355-1362. 10.1016/j.rmed.2006.09.024.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2466/14/49/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.