Abstract
Introduction
Differences between the opinions of patients and physicians on the impact of asthma are common. We hypothesised that patient–physician discordance may negatively affect asthma outcome.
Methods
A total of 2902 patients (61% women, mean age 47 years) with moderate–severe asthma and 231 physicians participated in a prospective study. At the baseline visit, data on demographics, clinical variables, degree of asthma control according to the Asthma Control Test (ACT), basic spirometry and the Hospital Anxiety and Depression Scale (HADS) were collected and an ad hoc questionnaire was completed that allowed the degree of concordance between doctors and patients to be assessed. A scheduled telephone call after 3 months was used to elicit the ACT score and the future risk of asthma. At the final visit at 6 months, the following data were recorded: ACT score, spirometry, HADS score and an ad hoc questionnaire to assess the agreement between the doctor and the patient. Changes in study variables according to patient–physician concordance or discordance were analysed.
Results
The rate of patient–physician discordance was 27.2%, with overestimation of disease impact by the physician in 12.3% and underestimation in 14.9%. Patient–physician opinion discordance, particularly in the case of physicians underestimating the impact of asthma, showed worse results with statistically significant differences in ACT score, a higher percentage of patients with poor asthma control and lower HADS scores. The need for hospital and emergency department admissions was also higher.
Conclusion
Patient–physician opinion discordance may be contributing to lower symptomatic control and increased future risk, with a higher impact when physicians underestimate the impact of asthma on their patients.
Keywords: Asthma, perception of Asthma/breathlessness
Key messages.
Differences between the opinions of patients and physicians on the impact of asthma are common.
Patient–physician discordance may negatively affect asthma control and future risk.
Physicians’ underestimations of asthma were associated with worse outcomes.
Asthma education programmes should address patients’ and doctors’ discordances.
Introduction
Asthma is a heterogeneous chronic inflammatory airways disease that represents a major public health problem, with a high prevalence and increasing trends in morbidity and mortality.1 Clinical practice guidelines for the management of asthma establish, as a primary objective of treatment, to achieve and maintain good control of symptoms and lung function, as well as to prevent future risk, including severe exacerbations, deterioration of lung function and adverse effects of treatment.1–3
Although good control of asthma can be achieved in many patients, real-life studies have shown that asthma is frequently poorly controlled.4–6 Lack of patient involvement in treatment, partially attributed to poor communication with their physician, has been put forward as one of the reasons for inappropriate management of asthma.7–10 Ensuring the necessary involvement of patients in their treatment, which enables them to learn about key aspects of asthma including how to adapt their lifestyle to the disease and awareness of the expected benefits of treatment, improves the effectiveness of the patient–doctor relationship and consequently the adherence to asthma medication regimens. For all of these aspects, asthma clinical practice guidelines recommend maximising concordance between patients and healthcare professionals.1–3 The term ‘concordance’ in different studies encompasses the level of agreement between physicians and patients in terms of general expectations from treatment and with regard to the disease. This means that patients should understand the potential benefits and limitations of treatment as well as adverse events, whereas physicians ought to understand the perceptions and concerns of patients.11 Therefore, the term includes a process in which physicians and patients agree on therapeutic decisions, recognise that they may have different perspectives, and the need to work together in the management of the disease to improve mutual understanding.12 In fact, unrealistically high or low expectations among patients concerning improvement of disease or the care they can receive from professionals may negatively affect patient–physician concordance.13
Despite the potential impact of misunderstandings between patients and physicians, only a few studies have examined concordance between patients’ and their doctors’ expectations in asthma.14 15 In a previous study of 1160 patients with asthma and 300 pulmonologists, the rate of patient–pulmonologist concordance on disease impact on patient daily life was 57%, with physicians underestimating the impact (compared with patients) in 26% of cases, and in patient satisfaction with treatment of 56%.11 However, no studies have previously assessed patients’ and doctors’ misperceptions in relation to control of asthma symptoms, future risk and comorbidities such as anxiety and depression. Anxiety and depression have been shown to correlate with poorly controlled asthma, reduced quality of life and increased healthcare use.16–19
The present prospective observational study was conducted to assess the impact of discordance in patients’ and physicians’ opinions on control of asthma symptoms, future risk and anxiety and depression. We hypothesised that patient–physician discordance may negatively affect asthma outcome, which consequently would reinforce the need to improve patient–physician concordance as a behavioural aspect of asthma education.
Methods
Study design
This was a prospective, observational, multicentre study with a follow-up period of 6 months. The study was carried out in 174 hospitals throughout Spain belonging to the public National Healthcare System. A total of 231 investigators were recruited for the study, 121 of whom were specialists in allergology, 103 in pneumology, 6 in general internal medicine and 1 in emergency medicine.
Ethical aspects
The study was promoted by Mundipharma Pharmaceuticals (Madrid, Spain). It was carried out in accordance with the 1991 International Guidelines for Ethical Review of Epidemiological Studies and complied with the updated version of the Declaration of Helsinki and Order SAS/3470/2009. The study was submitted to the Spanish Agency of Medicines and Health Products for classification, and the protocol was approved by the Ethics Committee of the participating hospitals of the study coordinators. Written informed consent was obtained from all patients. Study data were entered in a database owned by Mundipharma Pharmaceuticals, who were responsible to the Spanish Data Protection Agency (AEPD) and ensured confidentiality of data according to the Spanish law on Personal Data Protection (Organic Act 15/1999 December 13).
Population
Patients who attended the first visit with their specialist doctor were recruited from the outpatient clinics of the participating hospitals. The inclusion criteria were: previously diagnosed with asthma, male and female patients aged ≥18 years, moderate or severe persistent asthma (step ≥3 according to the Spanish Guidelines for the Management of Asthma (GEMA)),1 stable disease (patients had had no asthmatic exacerbations or changes in usual asthma treatment in the last 6 months), agreed to take part in the study and provided written informed consent. The diagnosis of asthma was based on patients reporting symptoms consistent with asthma (coughing, wheezing, chest tightness, shortness of breath) and a positive bronchodilator test (increase of ≥12% and ≥200 mL as an absolute value compared with baseline in either forced expiratory flow in 1 s (FEV1) or forced vital capacity (FVC)) or a daily peak expiratory flow variability >20%, or a positive methacholine challenge test documented in the case history.20 Patients were excluded from the study if they had a concomitant disease (sarcoidosis, lung cancer, pulmonary tuberculosis, bronchiectasis, nephropathy, rheumatic or liver disease), significant comorbidity that could affect the study results in the physician’s judgement or a cognitive impairment that could limit their comprehension of the subject under study or their ability to participate.
Methodology
The study included a baseline visit, a telephone assessment 3 months later and a final visit at 6 months. At baseline, the following data were recorded for each patient: demographics (age and sex); clinical variables (level of education, marital status, smoking status, number of years since onset of asthma, severity of asthma); degree of asthma control according to the Asthma Control Test (ACT)21 (an ACT score ≥20 identified well-controlled asthma)3; basic spirometry using the predicted values for the Mediterranean population22; an ad hoc questionnaire composed of 10 items about the impact of the disease on patient activities of daily living and future asthma-related risk; and the Hospital Anxiety and Depression Scale (HADS).23 Asthma control (ACT score) and future risk were also assessed at the 3-month telephone call.
At the final visit at 6 months, data recorded were the following: ACT score, lung function (spirometry), HADS score, an ad hoc questionnaire composed of 10 items about the impact of the disease on patient activities of daily living and future asthma-related risk. The HADS is a 14-item questionnaire, with seven items related to anxiety and seven items related to depression. Each item is scored from 0 to 3, scores for each subscale ranging from 0 to 21 and scores for the entire scale (emotional distress) from 0 to 42, with higher scores indicating more distress. HADS scores in each construct are divided into normal (0–7), doubtful (8–10) and definite (11–21) cases.17 The ad hoc questionnaire was composed of 10 items about the impact of the disease on patient activities of daily living; each item was scored on a Likert scale ranging from 0 (no impact) to 10 (severe impact) (see table 1). The 10-item questionnaire on the impact of asthma on daily living was completed by the patients and also by the physicians using the information available in each patient’s medical history and their knowledge of the case after seeing the patient. To use this questionnaire, this study took as reference the study by Urrutia et al.11 Physicians were blinded to the patients’ responses to questions. The physicians were given access to the responses of their patients after completing the questionnaires and, subsequent to the visit, they completed the online database. Comparison of the responses of the physician and the patient was performed by external observers through online and deferred registration in order to assess the degree of concordance between doctors and patients. The future risk of asthma was assessed according to the concepts established by the Global Initiative for Asthma (GINA)3 and GEMA.1 These criteria are: (1) the number of severe asthma exacerbations in the previous 3 months (need for a short course of oral prednisone during a minimum of 3 days and/or visit to the emergency department and/or admission to the hospital); and (2) use of healthcare resources in the previous 3 months (visits to the primary care physician, specialist, nurse, emergency department and hospitalisations).
Table 1.
Items | Scores (from 0=no impact to 10=severe impact) | ||||||||||
0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
1. Having independence in self-care (personal hygiene/grooming, dressing/undressing, eating, etc) | |||||||||||
2. Doing housework (cleaning including floors, making beds, etc) | |||||||||||
3. Performing other normal daily activities (regular commitments, going out, hobbies, exercise, etc) | |||||||||||
4. Performing sporadic leisure time activities (travelling, cinema/theatre, sports, other hobbies, etc) | |||||||||||
5. Carrying out usual work tasks | |||||||||||
6. Maintaining normal social relationships | |||||||||||
7. Maintaining normal family relationships | |||||||||||
8. Having an active sexual life (frequency of relations and satisfaction) | |||||||||||
9. Economic burden of the disease on the family | |||||||||||
10. Health-related quality of life |
Statistical analysis
The sample size needed to allow evaluation of the main objective of the study was based on the study by Urrutia et al.11 In this cross-sectional design work, the level of concordance between patients and doctors ranged between 57% and 75%. Therefore, for a type I error of 0.05 and amplitude of the 95% CI of 3.5%, a total of 3075 patients would be needed in the case of 57% concordance (worst scenario). Since the patients had a follow-up of 6 months in the study, the sample size was increased to allow for possible losses in follow-up. A loss rate of 5% was assumed, so an attempt was made to include 3250 patients in the study. Categorical variables are expressed as absolute and relative frequencies and quantitative variables as mean, median, SD, min, max, Q1 and Q3. To assess the level of agreement between patients and physicians in responses to the 10-item questionnaire of the impact of asthma on daily activities, an algorithm that classified cases into concordance or discordance of opinions was used. Patient–physician opinion agreement or concordance was established when the mean of the sum of scores of physicians’ and patients’ questionnaires was in the same quartile, and lack of agreement or discordance when they did not coincide in the same quartile. In case of discordance, underestimation or overestimation was considered when physicians scored below or above the patients’ scores, respectively. The difference in the total scores of physicians and patients was used to generate a new continuous variable (the higher the score, the greater the disagreement), which was explored with other continuous variables. Categorical variables were compared with the Χ2 test and the Fisher exact test for independent samples, or the McNemar test for paired samples. Quantitative variables were compared with the Student t-test, the Mann–Whitney U test or the Wilcoxon rank-sum test. The analysis of variance (ANOVA) or the Kruskal–Wallis test was used for the comparison of three or more groups of continuous data. The relationship between two continuous variables was assessed using the Spearman rank-order correlation coefficient (ρ). Statistical analysis was performed using the Statistical Package for Social Sciences (SPSS, Chicago, Illinois, USA) Version 22.0 for Windows. The threshold for statistical significance was set at p<0.05.
Results
Sociodemographic and clinical characteristics of patients
A total of 3183 patients diagnosed with asthma were included in the study, but 281 (8.8%) failed to complete the 6-month follow-up. The main cause of patients’ loss to follow-up was abandonment of the study (failure to attend the medical visit). Therefore, the study population consisted of 2902 patients (61.2% women) with a mean (SD) age of 46.8 (16.7) years. Salient findings were as follows: 63.9% of patients were never smokers, 65.4% were married or lived with a partner and 31.7% had completed secondary education. Asthma-related data at baseline showed a poor control of symptoms in 75.3% of patients (ACT score <20), the mean (SD) forced expiratory volume in 1 s (FEV1) was 81.6 (20.9)% and persistent moderate asthma was diagnosed in 81% of patients. Anxiety and depression were present in 24.2% and 11.7% of patients, respectively. At 6 months there was a significant improvement in asthma control, degree of airways obstruction and anxiety and depression scores according to the HADS (table 2).
Table 2.
Variables | Baseline visit (n=3183) |
Telephone survey at 3 months (n=3057) |
Final visit at 6 months (n=2902) |
p Value (final vs baseline visits) |
Sociodemographic data | ||||
Women, n (%) | 1948 (61.2) | |||
Age, years, mean (SD) | 46.8 (16.7) | |||
Smoking status | ||||
Current smoker | 391 (12.3) | |||
Ex-smoker | 757 (23.8) | |||
Never smoker | 2034 (63.9) | |||
Civil status | ||||
Married or lived with a partner | 2082 (65.4) | |||
Single | 820 (25.8) | |||
Separated or widowed | 281 (8.8) | |||
Years since asthma diagnosis, mean (SD) | 7.6 (9.6) | |||
Severity of asthma, n (%) | ||||
Moderate | 2577 (81.0) | |||
Severe | 605 (19.0) | |||
Exacerbations in the last 6 months, mean (SD) | 2.3 (1.8) | |||
Asthma control and spirometry | ||||
ACT score, mean (SD) | 15.8 (4.7) | 19.3 (4.2) | 19.4 (4.4) | <0.001 |
Patients with controlled asthma (ACT ≥20), n (%) | 785 (24.7) | 1700 (55.6) | 1667 (57.5) | <0.001 |
FEV1, %, mean (SD) | 81.6 (20.9) | 86.0 (20.8) | <0.001 | |
HADS | ||||
Anxiety subscale score, mean (SD) | 7.1 (4.3) | 5.9 (4.2) | <0.001 | |
Patients with anxiety (score ≥11), n (%) | 769 (24.2) | 445 (15.3) | <0.001 | |
Depression subscale score, mean (SD) | 5.2 (4.1) | 4–4 (4.0) | <0.001 | |
Patients with depression (score ≥11), n (%) | 373 (11.7) | 234 (8.1) | <0.001 |
ACT, asthma control test; FEV1, forced expiratory volume in first second; HADS, Hospital Anxiety Depression Scale.
Patient–physician opinion concordance/discordance
At the follow-up visit at 6 months, discordance between patients’ and physicians’ opinions was found in 789 (27.2%) cases. The impact of asthma on daily living was underestimated by the physician in 357 (12.3%) cases and overestimated in the remaining 432 (14.9%). As shown in table 3, in the group with patient–physician discordance, in particular due to underestimation of the impact of the disease by physicians, poorer results of asthma outcome were obtained, with statistically significant differences in the control of symptoms (ACT score and percentage of patients with poorly controlled asthma) and level of anxiety and depression. Also, the amplitude of the difference between patients’ and physicians’ scores was significantly and negatively associated with asthma control (ACT test) (ρ=−0.322, p<0.001) and significantly and positively associated with the number of exacerbations (ρ=0.171, p<0.001) and overall HADS scores (ρ=0.275, p<0.001).
Table 3.
Patient–physician concordance (n=2113) (72.8%) |
Patient–physician discordance | p Value patient–physician concordance versus discordance | p Value patient–physician concordance versus discordance subgroup | |||
All cases (n=789) (27.2%) |
Physician overestimation (n=357) |
Physician underestimation (n=432) |
||||
Unscheduled visits and use of resources, mean (SD) | ||||||
Severe exacerbations | 2.3 (1.8) | 2.2 (1.6) | 2.1 (1.5) | 2.2 (1.7) | 0.171 | |
Primary care visits | 2.3 (1.8) | 2.3 (2.5) | 2.3 (3.1) | 2.3 (1.8) | 0.772 | |
Emergency room visits | 1.7 (1.4) | 1.9 (1.7) | 1.7 (1.0) | 2.1 (2.2) | 0.087 | |
Hospital admission | 1.6 (1.2) | 2.9 (6.6) | 1.0 (0.0) | 4.6 (9.0) | 0.523 | |
Asthma severity, n (%) | ||||||
Moderate | 1792 (84.4) | 667 (84.6) | 308 (86.3) | 359 (83.3) | 0.892 | |
Severe | 320 (15.2) | 121 (15.4) | 49 (13.7) | 72 (16.7) | ||
Control of asthma (ACT) | ||||||
ACT score, mean (SD) | 19.5 (4.5) | 19.3 (4.0) | 19.5 (3.8) | 19.1 (4.1) | 0.020 | |
Patients with controlled asthma (ACT ≥20), n (%) | 1241 (58.7) | 426 (54.1) | 194 (54.3) | 232 (53.8) | 0.024 | |
Spirometry | ||||||
FEV1 %, mean (SD) | 85.7 (14.2) | 86.2 (14.2) | 84.4 (14.2) | 87.7 (14.2) | 0.415 | |
HADS | ||||||
Anxiety subscale score, mean (SD) | 5.9 (4.2) | 6.0 (3.9) | 5.2 (3.6) | 6.6 (4.1) | 0.259 | |
Patients with anxiety (score ≥11), n (%) | 327 (19.1) | 118 (18.7) | 33 (11.3) | 85 (25.1) | 0.839 | 0.002*, 0.013**,<0.001*** |
Depression subscale score, mean (SD) | 4.4 (4.0) | 4.4 (3.8) | 3.7 (3.5) | 5.0 (3.9) | 0.411 | |
Patients with depression (score ≥11), n (%) | 173 (9.9) | 61 (9.1) | 18 (5.9) | 43 (11.9) | 0.579 | 0.033*, 0.010** |
*p Value between patient–physician opinion concordance versus discordance by physician overestimation.
**p Value between patient–physician opinion concordance versus discordance by physician underestimation.
***p Value between discordance by physician overestimation versus underestimation.
ACT, asthma control test; FEV1, forced expiratory volume in 1 s; HADS, Hospital Anxiety and Depression Scale.
Discussion
This study shows that discordance in the opinion of patients with asthma and their physicians regarding the impact of disease on activities of daily living is relatively frequent (27.2% of cases) and is associated with a poorer symptomatic control of asthma and also, in part, with a higher future risk, especially when the physician has underestimated the impact of the disease. This finding may have important implications in asthma education programmes, in which it seems necessary to include strategies for improving differences between patients and clinicians in their views regarding repercussions of the disease in daily life. It is possible that these differences of opinion may have implications for the difficulty in achieving good asthma control. Clinicians in their usual clinical practice should consider these results. New tools should be established in the consultation to improve this aspect.
Despite clinical practice guidelines with explicit recommendations for a stepwise approach tailored to disease severity1–3 and validated instruments to assess the degree of asthma control,21 24 25 different studies have shown that, in less than 40% of patients, asthma is well-controlled.26 27 Patients with inadequately controlled asthma often have limited therapeutic options and remain at high risk of serious morbidity and mortality.28 However, patients’ misperceptions regarding the presence of symptoms as indicative of poor asthma control is frequent. An online survey conducted among 8000 patients with asthma from 11 European countries showed interesting data.29 More than 80% of respondents considered their asthma to be controlled and over two-thirds did not regard their condition as serious, even among those whose asthma was uncontrolled according to the GINA criteria.3 Similarly, more than 80% of respondents who had experienced acute exacerbations (oral steroid use, emergency department visits or hospitalisations) in the previous year regarded their asthma as controlled. Of those who considered their asthma controlled, 55.5% had had symptoms that interfered with normal activities and 52.5% had awoken at night because of asthma in the previous week. Moreover, of those who regarded their asthma as not serious, 19.5% reported an asthma-related emergency department visit in the previous year. Educating patients will help to improve their understanding of asthma and enable them to work with their physician to manage their disease.29
It has been shown that patients, particularly those with severe and/or difficult asthma and poor control, underplay symptoms and do not discuss non-medical factors which may impact on asthma control in primary care consultations,4 so training physicians in the use of patient-centred communication skills may optimise asthma management in this setting. Moreover, poor professional–patient communication has been considered a reason for the poor uptake of self-management plans and guideline use in general practice and primary care.7 Irwin and Richardson8 concluded that patient-focused care communication, continuity of care and concordance (finding common ground) are highly relevant to the effective treatment of pulmonary disease and should be a key component of asthma management.
In a previous study of agreement between patients and pneumologists, patient–physician discordant rates of disease impact on daily life and patient satisfaction were significantly lower among patients with controlled asthma (29% and 32.1%) than those with poorly controlled disease (73.7% and 73.1%).11 In our study, patient–physician discordance was found in 27.2% of cases. The impact of asthma was overestimated by physicians in 12.3% of patients and underestimated in 14.9%. Patient–physician opinion discordance affected negatively the degree of asthma control, particularly when the patient’s status was underestimated by physicians. In addition, there was a significant negative correlation between patient–physician discordance and the ACT score.
Control of future risk includes the absence of severe exacerbation episodes and visits to the emergency department (or possible hospital admissions), prevention of progressive deterioration of pulmonary function and dose adjustment of asthma medications to minimise adverse effects. In the present study, the amplitude of the difference in scores of the 10-item questionnaire between patients and physicians was significantly correlated with the number of exacerbations.
Different studies support the view that there is an increase in psychiatric morbidity in patients with obstructive airways diseases.30–35 A study carried out in adults with clinically stable asthma showed a prevalence of 36.9% for anxiety and 11% for depression,36 and both diseases were associated with poor asthma control. In our study, scores in the anxiety and depression subscales of the HADS improved significantly at 6 months compared with scores at baseline, after a timely visit by the doctor. Also, anxiety and depression scores were higher (more distress) when there was discordance between patients and physicians and the physician underestimated the impact of the patient’s disease. The amplitude of the difference in scores of the 10-item questionnaire between patients and physicians correlated significantly with anxiety and depression symptoms. The greater the discordance between patients’ and physicians’ opinions, the higher the degree of impairment due to patients’ psychiatric comorbidity. This finding suggests the influence of physicians in the control of asthma of their patients and also in the degree of asthma-related anxiety and depression. In a study that compared opinions and involved 319 psychiatrists and 957 patients diagnosed with depression, depressive symptoms related to circadian rhythms (except fatigue, anergy and insensitivity) perceived by more than 65% of patients surveyed were significantly underestimated by psychiatrists and only partially resolved with antidepressive medication.37 On the other hand, satisfaction with the results of treatment with antidepressants manifested by patients was lower than general satisfaction stated by psychiatrists.37 Other studies have also concluded that physicians evaluate differently the presence and impact of symptoms on daily activities of their patients and, in turn, the level of satisfaction and compliance with treatment.38–45
Limitations and strengths
This study has some limitations. First, we have not included other measurements or variables that may affect the degree of asthma control, such as treatment adherence, adjustment of maintenance treatment, patient’s education or use of non-invasive methods of measurement of airway inflammation. Second, this study has a selection bias: both the pulmonologists and the patients volunteered to participate in the study. Third, the different medical specialists may have different perspectives on how to approach/educate/treat patients with asthma. Finally, an important proportion of patients were active or previous smokers (36.1%) and some might have overlapping symptoms of COPD-asthma that could influence outcomes. However, since the mean age of the population was 46.8 years, it is less likely that these patients had COPD. However, the large sample size of 2902 patients who completed the 6-month follow-up period gives strength to the study findings.
Conclusions
Patient–physician opinion discordance related to the impact of asthma on patients’ daily activities may be contributing to lower symptomatic control and increased future risk, with a higher impact when physicians underestimate the impact of asthma on their patients.
Asthma education programmes should address patients’ and doctors’ discordances. Educational strategies to promote an optimal level of concordance between patients’ and physicians’ opinions and expectations should be pursued.
Acknowledgments
The authors are grateful to Mundipharma Pharmaceuticals for logistic support and to Marta Pulido for editing the manuscript and editorial assistance.
Footnotes
Contributors: All authors made substantial contributions to the study. ACL: enrolled patients and wrote the first draft of the manuscript; VP and JS: generated the hypothesis, designed the study, built the database and performed statistical analysis; F-JG-B and TF-S: participated in data interpretation and manuscript writing.
Funding: Mundipharma Pharmaceuticals had no involvement in study design; in the collection, analysis and interpretation of data; in the writing of the report; or in the decision to submit the paper for publication. The authors confirm that all personal identities have been removed or disguised so that participants are not identifiable.
Competing interests: ACL was consultant for Mundipharma Pharmaceuticals in relation to the present study. VP in the last 3 years received honoraria for speaking at sponsored meetings from Chiesi, Esteve Laboratories, GlaxoSmithKline (GSK), Novartis, Orion and Pfizer; received assistance with travel to meetings from Chiesi and Novartis; acted as a consultant for Mundipharma Pharmaceuticals, Orion and Teva; and received funding/grant support for research projects from a variety of Government agencies and not-for-profit foundations as well as AstraZeneca, Chiesi, Menarini, GSK and ALK. F-JG-B: no conflicts to be declared. TF-S was a full-time employee of Mundipharma Pharmaceuticals. JS served as a consultant to Thermofisher, MSD, Novartis, Genentech, Sanofi, Leti, Roche, FAES FARMA, Mundipharma, and GSK; received lecture fees from Novartis, GSK, Stallergenes, LETI and FAES FARMA and grant support for research from Thermofisher.
Patient consent: Obtained.
Ethics approval: the protocol was approved by the Ethics Committee of the participating hospitals of the study coordinators.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: All data are available to the public for a maximum period of 5 years after the publication of this article.
Collaborators: The CONCORD Study Group (ALBACETE): Callejas González, F; Jiménez López, J; Martínez Riaza, M; Moscardó Orenes, M; Prieto Montaño, P; Torrecillas Toro, M; (ALICANTE): Andreu Balaguer, C; Antón Girones, M; Baeza Martinez, C; Flores Martín, I; Gonzalez Delgado, P; Martos Calahorro, M; Mediero Carrasco, G; Rodríguez Pacheco, R; Vilella Tomás, V; (ALMERÍA): Mota Godoy, M; Zapata Yébenes, J; (ÁLAVA): Villarreal Balza De Vallejo, O; (ASTURIAS): Alvarez Fernandez, J; Bazus Gonzalez, T; Castaño De Las Pozas, G; Diaz Donado, C; Díaz Angulo, S; Gala Ortiz, G; Requejo Mañana, B; (ÁVILA): Blanco Gonzalez, R; (BADAJOZ): Gómez Nieves, E; Marin Torrado, J; (BARCELONA): Dordal Culla, M; Juanola Pla, J; Lleonart Bellfill, R; Martos Velasco, J; Pinto Nogues, E; Rivera Ortun, M; Rubinstein Aguñin, P; Subira Farre, N; Valldeperas Combas, J; (BIZKAIA): Ansotegui Zubeldia, I; Bernaola Hortigüela, G; Ciruelos Ayuso, J; González Álvarez, G; Herrerias Peña, M; Lahuerta Castro, A; Losada Llorente, P; Marin Martinez, P; Marina Malanda, N; (BURGOS): Garcia Gonzalez, F; Peña Miguel, T; (CÁCERES): Hernandez Hernandez, M; Jimenez Timon, S; Porcel Carreño, S; (CÁDIZ): Alwakil Olbah, M; Arnedillo Muñoz, A; Chamorro Mohedad, J; Gutierrez Fernandez, D; Letran Camacho, A; Merinas Lopez, C; Millan Gonzalez, M; Niño Bernal, S; Fernandez Pellon, L; (CANTABRIA): Morchon Miguel, E; Ortiz Portal, F; Suárez Rodríguez, A; (CASTELLÓN): Modesto Alapont, M; Raducan, I; Salvador Segarra, M; (CIUDAD REAL): Galindo Bonilla, P; Mata Calderon, P; Mena Rodriguez, M; (CÓRDOBA): Lama Martinez, R; Martín Pérez, M; Morales Villarejo, M; (CORUÑA): Blanco Aparicio, M; Do Muíño Joga, M; Fontan Garcia-Boente, L; García Paz, V; Gonzalez Barcala, F; Nuñez Orjales, R; Rabade Castedo, C; Rico Diaz, M; (CUENCA): Moreno Fernandez, A; (GIRONA): Aparicio Español, S; Ruiz San Francisco, A; (GRANADA): Alcázar Navarrete, B; Cassini Gomez De Cadiz, L; Escribano Rodriguez, M; Florido Lopez, J; Lara Jiménez, M; Lopez Caballero, J; Martínez Ceres, M; Mayorgas Costoya, R; Morales García, C; Rojas Vilchez, M; Romero Ortiz, A; (GUADALAJARA): Beitia Mazuecos, J; Vega Castro, A; ((GUIPUZCOA): Labeguerie Arenaza, B; Lizarza Mendizabal, S; Perez Sampedro, I;(HUELVA): Valverde Vazquez, L; (HUESCA): Cegoñino De Sus, J; Compaired Villa, J; Ferrer Pargada, D; Herrero Jarque, J; (ILLES BALEARS): Chacon Patiño, M; Fuster Gomila, A; Nicolau Pastrie, F; (JAÉN): Almagro Lopez, J; (LEÓN): Benito Martinez, P; Velez Ruiz De Lobera, A; (LUGO): Carballada Gonzalez, F; Perez Carral, C; Veres Racamonde, A; (LLEIDA): Cervera Del Pino, M; Rozadilla Sacanell, J; (MADRID): Ali García, I; Anta Mejias, Y; Añíbarro Bausela, B; Arroyo Cozar, M; Barranco Sanz, P; Bobolea, I; Bueso Fernandez, A; De Santiago Delgado, E; Diaz Campos, R; Donado Uña, J; Feliu Vila, A; Gandolfo Cano, M; Garcia De Pedro, J; Garcimartin Galicia, M; González De Olano, D; Huertas Barbudo, B; López Viña, A; Losada Peña, A; Minguez Martin, G; Montoro De Francisco, A; Moreno Borque, R; Moro Moro, M; Ramirez Prieto, M; Reche Frutos, M; Rodriguez Jimenez, B; Rodríguez Rodríguez, M; Romero Ribate, D; Ruano Perez, F; Ruiz Hornillos, J; Sánchez López, P; Sola Martinez, F; Subiza Garrido-Lestache, J; Vasquez Gambasica, Z; Vila Albelda, C; (MÁLAGA): Alcazar Ramirez, J; De Luiz Martínez, G; García Núñez, I; Linde De Luna, F; Ortega Sáenz De Tejada, E; Padilla Galo, A; Rodriguez Martinez, R; Soria Esojo, M; (MURCIA): Andujar Espinosa, R; Avilés Inglés, M; Bernabeu Mora, R; Franco Campos, M; Peña Arellano, M; (NAVARRA): Alvarez Puebla, M; García Figueroa, B; Garrido Fernández, S; Olaguibel Rivera, J; Tabar Purroy, A; (OURENSE): Presedo Garazo, B; Varela Losada, S; (PALENCIA): García Villamuza, Y; (PALMAS,LAS) Cumplido Bonny, J; (PONTEVEDRA): Alvarez Sintes, R; Castro Landin, J; Cobas Paz, A; Corbacho Abelaira, M; Iglesias Rio, F; Pallarés Sanmartín, A; Picans Picans, I; Regueiro Moreira, A;(RIOJA): Tejedor Romera, R; (SALAMANCA): Igea Aznar, J; Muñoz Bellido, F; Rodriguez Hernandez, M; (SANTA CRUZ DE TENERIFE): González Perez, R; Izaguirre Flores, H; (SEVILLA): Alvarez Gutierrez, F; Cimbollek, S; De Luque Piñana, V; Medina Gallardo, J; Moreno Garcia, V; Orta Cuevas, J; Puente Crespo, Y; Quiralte Enriquez, J; Serrano Dominguez, P; (TARRAGONA): Sotorra Elias, Ò; (TERUEL): Muñoz Pamplona, M; (TOLEDO): Jimenez Lara, M; Moral De Gregorio, A; (VALENCIA): Alvariño Martin, M; Ballester Canelles, M; Burches Baixauli, E; Catalán Serra, P; Climent Gregori, M; Cordero Rodriguez, P; De Las Marinas Alvarez, M; Díaz Palacios, M; El-Qutob López, D; Greses Giner, J; Herrera Lara, S; Jorro Martínez, G; Liñana Santafé, J; Lloris Bayo, A; Martinez Moragon, E; Molero Sancho, I; Montoro Lacomba, J; Naval Sendra, E; Navarro Seisdedos, L; Orosa Bertol, B; Robles Iniesta, A; Ruiz Cubillan, J; Sánchez-Toril López, F; Saura Vinuesa, A; (VALLADOLID): Alonso Gomez, A; De Frutos Arribas, J; Macias Fernandez, E; Sanchez Alonso, A; (ZARAGOZA): Colás Sanz, C; Domínguez Fuentes, M; Garcés Sotillos, M; Segura Arazuri, N.
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