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Self-reported asthma prevalence and management in adults in France in 2018: ASTHMAPOP survey. Respir Med Res 2021; 80:100864. [PMID: 34773824 DOI: 10.1016/j.resmer.2021.100864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 08/26/2021] [Accepted: 10/08/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND There is a paucity of epidemiological data on asthma classified by disease severity in France. The ASTHMAPOP cross-sectional study aimed to review the prevalence and current management of asthma in people aged ≥18 years in France. METHODS A self-administered questionnaire was mailed to 19 676 people representative of the French population in age, gender, region, and socio-economic status. Asthma was classified by treatment steps per the 2017 Global Initiative for Asthma (GINA) report, according to prescribed treatments. Analyses were mostly descriptive. RESULTS The questionnaire return rate was 81.7% (n = 16 083), and 15 587 questionnaires were analyzed. The prevalence of lifetime asthma was 12.8% (95% confidence interval (CI):12.3-13.3%; n = 1 989) in 2018. The prevalence of current asthma (i.e., 12 months before the survey) was 6.4% (95% CI: 6.0-6.8%; n = 993); most of these respondents (95.3% [n = 946]) were receiving asthma treatment, and 49.4% (n = 491) were treated for mild asthma (GINA step 1 or 2). Of people with current asthma, 47.6% reported ≥1 asthma exacerbation in the past 12 months-defined as episodes (several days) during which symptoms (cough, sputum, and dyspnea) were worse than usual; 14.3% had ≥1 emergency visit, and 3.1% had ≥1 hospitalization due to asthma. Of those taking continuous asthma controller medications who answered all Morisky Medication Adherence Scale questions (n = 501), 46.4% were adherent (score=4) to their treatment regimen. Based on the 6-item Asthma Control Questionnaire scores, asthma was partially controlled or uncontrolled in 47.7% of 969 people. CONCLUSIONS The prevalence of asthma in France has remained stable since 2006, but levels of asthma control and treatment adherence continue to be relatively poor. Asthma management in France requires improvement.
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Abstract
Approximately 20% of patients with obstructive lung disease have features of both asthma and chronic obstructive pulmonary disease These patients have a higher burden of disease and increased exacerbations compared to those with asthma or chronic obstructive pulmonary disease alone Management should address dominant clinical features in each individual patient, and comorbidities should be considered There are several interventions that are useful in the management of both asthma and chronic obstructive pulmonary disease As inhaled corticosteroids are key to the management of asthma, they are recommended in patients with overlapping chronic obstructive pulmonary disease
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Affiliation(s)
- Anne Knight
- Hunter New England Local Health District, Taree, NSW.,University of Newcastle Department of Rural Health, NSW
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Al Sallakh MA, Rodgers SE, Lyons RA, Sheikh A, Davies GA. Identifying patients with asthma-chronic obstructive pulmonary disease overlap syndrome using latent class analysis of electronic health record data: a study protocol. NPJ Prim Care Respir Med 2018; 28:22. [PMID: 29925836 PMCID: PMC6010464 DOI: 10.1038/s41533-018-0088-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 05/23/2018] [Accepted: 05/23/2018] [Indexed: 01/11/2023] Open
Abstract
Asthma and chronic obstructive pulmonary disease (COPD) are two common different clinical diagnoses with overlapping clinical features. Both conditions have been increasingly studied using electronic health records (EHR). Asthma-COPD overlap syndrome (ACOS) is an emerging concept where clinical features from both conditions co-exist, and for which, however, there is no consensus definition. Nonetheless, we expect EHR data of people with ACOS to be systematically different from those with "asthma only" or "COPD only". We aim to develop a latent class model to understand the overlap between asthma and COPD in EHR data. From the Secure Anonymised Information Linkage (SAIL) databank, we will use routinely collected primary care data recorded in or before 2014 in Wales for people who aged 40 years or more on 1st Jan 2014. Based on this latent class model, we will train a classification algorithm and compare its performance with commonly used objective and self-reported case definitions for asthma and COPD. The resulting classification algorithm is intended to be used to identify people with ACOS, 'asthma only', and 'COPD only' in primary care datasets.
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Affiliation(s)
- Mohammad A Al Sallakh
- Swansea University Medical School, Singleton Park, Swansea, SA2 8PP, UK.
- Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK.
| | - Sarah E Rodgers
- Swansea University Medical School, Singleton Park, Swansea, SA2 8PP, UK
- The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK
| | - Ronan A Lyons
- Swansea University Medical School, Singleton Park, Swansea, SA2 8PP, UK
- The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK
| | - Aziz Sheikh
- Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK
- The Farr Institute of Health Informatics Research, Edinburgh and Swansea, UK
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
| | - Gwyneth A Davies
- Swansea University Medical School, Singleton Park, Swansea, SA2 8PP, UK
- Asthma UK Centre for Applied Research, Edinburgh and Swansea, UK
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Porsbjerg C, Ulrik C, Skjold T, Backer V, Laerum B, Lehman S, Janson C, Sandstrøm T, Bjermer L, Dahlen B, Lundbäck B, Ludviksdottir D, Björnsdóttir U, Altraja A, Lehtimäki L, Kauppi P, Karjalainen J, Kankaanranta H. Nordic consensus statement on the systematic assessment and management of possible severe asthma in adults. Eur Clin Respir J 2018. [PMID: 29535852 PMCID: PMC5844041 DOI: 10.1080/20018525.2018.1440868] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Although a minority of asthma patients suffer from severe asthma, they represent a major clinical challenge in terms of poor symptom control despite high-dose treatment, risk of exacerbations, and side effects. Novel biological treatments may benefit patients with severe asthma, but are expensive, and are only effective in appropriately targeted patients. In some patients, symptoms are driven by other factors than asthma, and all patients with suspected severe asthma ('difficult asthma') should undergo systematic assessment, in order to differentiate between true severe asthma, and 'difficult-to-treat' patients, in whom poor control is related to factors such as poor adherence or co-morbidities. The Nordic Consensus Statement on severe asthma was developed by the Nordic Severe Asthma Network, consisting of members from Norway, Sweden, Finland, Denmark, Iceland and Estonia, including representatives from the respective national respiratory scientific societies with the aim to provide an overview and recommendations regarding the diagnosis, systematic assessment and management of severe asthma. Furthermore, the Consensus Statement proposes recommendations for the organization of severe asthma management in primary, secondary, and tertiary care.
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Affiliation(s)
- Celeste Porsbjerg
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Respiratory Research unit, Department of Respiratory Medicine, Bispebjerg Hospital, Copenhagen, Denmark
| | - Charlotte Ulrik
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Department of Respiratory Medicine, Hvidovre Hospital, Hvidovre, Denmark
| | - Tina Skjold
- Dept of Respiratory Medicine, Aarhus University Hospital, Aarhus C, Denmark
| | - Vibeke Backer
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.,Respiratory Research unit, Department of Respiratory Medicine, Bispebjerg Hospital, Copenhagen, Denmark
| | | | - Sverre Lehman
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Thoracic Medicine, Haukeland University Hospital, Bergen, Norway
| | - Crister Janson
- Department of Medical Sciences: Respiratory, Allergy & Sleep Research, Uppsala University, Uppsala, Sweden
| | - Thomas Sandstrøm
- Department of Public Health and Clinical Medicine, Division of Medicine, Umeå University, Umeå, Sweden
| | - Leif Bjermer
- Department of Respiratory Medicine & Allergology, Skåne University Hospital, Lund, Sweden
| | - Barbro Dahlen
- Division of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden
| | - Bo Lundbäck
- Institute of Medicine/Krefting Research Centre University of Gothenburg, Gothenburg, Sweden
| | - Dora Ludviksdottir
- Dept. of Allergy, Respiratory Medicine and Sleep Landspitali University Hospital Reykjavik Iceland, University of Iceland, Reykjavik, Iceland
| | - Unnur Björnsdóttir
- Dept. of Allergy, Respiratory Medicine and Sleep Landspitali University Hospital Reykjavik Iceland, University of Iceland, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Alan Altraja
- Department of Pulmonary Medicine, University of Tartu and Department of Pulmponary Medicine, Tartu University Hospital, Tartu, Estonia
| | - Lauri Lehtimäki
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.,Allergy Centre, Tampere University Hospital, Tampere, Finland
| | - Paula Kauppi
- Department of Allergy, Respiratory Diseases and Allergology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jussi Karjalainen
- Department of Respiratory Medicine, Seinäjoki Central Hospital, Seinäjoki, Finland
| | - Hannu Kankaanranta
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland.,Department of Respiratory Medicine, Seinäjoki Central Hospital, Seinäjoki, Finland
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Pérez de Llano L, Cosío BG, Miravitlles M, Plaza V. Accuracy of a New Algorithm to Identify Asthma-COPD Overlap (ACO) Patients in a Cohort of Patients with Chronic Obstructive Airway Disease. Arch Bronconeumol 2017; 54:198-204. [PMID: 29229474 DOI: 10.1016/j.arbres.2017.10.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2017] [Revised: 10/02/2017] [Accepted: 10/06/2017] [Indexed: 11/20/2022]
Abstract
OBJECTIVES We aimed to characterize the clinical, functional and inflammatory features of patients diagnosed diagnosed with ACO according to a new algorithm and to compare them with those of other chronic obstructive airway disease (COAD) categories (asthma and COPD). METHODS ACO was diagnosed in a cohort of COAD patients in those patients with COPD who were either diagnosed with current asthma or showed significant blood eosinophilia (≥300cells/μl) and/or a very positive bronchodilator response (>400ml and >15% in FEV1). RESULTS Eighty-seven (29.8%) out of 292 patients fulfilled the ACO diagnostic criteria (12.8% asthmatics who smoked <20 pack-years, 100% of asthmatics who smoked ≥20 pack-years, 47.7% of COPD with >200eosinophils/μl in blood and none with non-eosinophilic COPD). ACO, asthma and COPD patients showed no differences in symptoms or exacerbation rate. Mean pre-bronchodilator FEV1 in ACO and asthma were similar (1741 vs 1771ml), higher than in COPD (1431ml, p<0.05). DLCO was lower in ACO than in asthma (68.1 vs 84.1%) and similar to COPD (64.5%). Mean blood eosinophil count was similar in ACO and asthma (360 vs 305cells/μl) and higher than in COPD (170cells/μl). Periostin levels were similar in ACO to COPD (36.6 and 36.5IU/ml) and lower than in asthma (41.5IU/ml, p<0.05), whereas FeNO levels in ACO were intermediate. CONCLUSION This algorithm classifies as ACO all smoking asthmatics with non-fully reversible airway obstruction and a considerable proportion of e-COPD patients, highlighting those who can benefit from inhaled corticosteroids.
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Affiliation(s)
| | - Borja G Cosío
- Department of Respiratory Medicine, Hospital Universitario Son Espases-IdISBa, Palma de Mallorca, Spain; CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Marc Miravitlles
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Department of Respiratory Medicine, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Vicente Plaza
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Department of Respiratory Medicine, Hospital de la Santa Creu y Sant Pau, Institut d'Investigació Biomédica Sant Pau (IIB Sant Pau), Universitat Autònoma de Barcelona, Department of Medicine, Barcelona, Spain
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