Introduction: Although the prevalence and burden of asthma are continuously increasing, there is a lack of evidence on the landscape of moderate-to-severe asthma in Japan. Here, we report the prevalence of moderate-to-severe asthma and describe patient's demographics and clinical characteristics from 2010 to 2019 using the JMDC claims database.
Methods: Patients (≥12 years) from the JMDC database with ≥2 asthma diagnoses in 2 different months in each index year were stratified as moderate-to-severe asthma based on the definition of asthma prevention and management guideline (Japanese Guidelines for Asthma, JGL) or Global Initiative for Asthma (GINA).
Primary Objective: 10-year trend (2010-2019) in the prevalence of moderate-to-severe asthma.
Secondary Objective: Demographics and clinical characteristics of patients from 2010 to 2019.
Results: Of 7,493,027 patients from the JMDC database, 38,089 and 133,557 were included in JGL and GINA cohorts, respectively, by 2019. Both cohorts presented an increasing trend in the prevalence rate of moderate-to-severe asthma from 2010 to 2019, irrespective of age groups. Demographics and clinical characteristics were consistent across the cohorts in each calendar year. Majority of patients were in the age group of 18-60 years in both JGL (86.6%) and GINA (84.2%) cohorts. Allergic rhinitis was the most frequent comorbidity and anaphylaxis the least frequent comorbidity reported in both the cohorts.
Conclusions: In Japan, the prevalence rate of patients with moderate-to-severe asthma, as per JGL or GINA in the JMDC database, increased from 2010 to 2019. The demographics and clinical characteristics were similar in both cohorts over the assessment duration.
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http://dx.doi.org/10.1159/000528987 | DOI Listing |
Biomedicines
January 2025
Department of Pulmonary Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.
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Division of Allergy, Asthma and Clinical Immunology, Mayo Clinic, Scottsdale, Ariz; Department of Medicine, Mayo Clinic, Scottsdale, Ariz; Department of Immunology, Mayo Clinic Rochester, Rochester, Minn; Department of Immunology, Mayo Clinic Arizona, Scottsdale, Ariz.
Over the past two decades, mechanistic studies of allergic and type 2 (T2)-mediated airway inflammation have led to multiple approved therapies for the treatment of moderate-to-severe asthma. The approval and availability of these monoclonal antibodies targeting immunoglobulin E, a type 2 cytokine (IL-5) and/or cytokine receptors (IL-5Rα, IL-4Rα) has been central to the progresses made in the management of moderate-to-severe asthma over this period. However, there are persistent gaps in clinician's ability to provide precise care given that many patients with type 2-high asthma do not respond to the IgE or T2 cytokine-targeting therapies and patients with type 2-low asthma have limited therapeutic options.
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Breathing Institute, Children's Hospital Colorado, Department of Pediatrics, Pediatric Pulmonary and Sleep Medicine Section, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO. Electronic address:
Digital health is an umbrella term for components of healthcare utilizing computer platforms, software, connectivity and sensors to augment the recording, documentation and communication of clinical information. The functions of digital health may be viewed in three domains: 1) the repository for patient information, 2) monitoring devices and 3) communication tools. Monitoring devices have provided robust information as diagnostic and prognostic tools in office and hospital settings.
View Article and Find Full Text PDFRespir Res
January 2025
Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Background: The emergence of new molecular targeted drugs marks a breakthrough in asthma treatment, particularly for severe cases. Yet, options for moderate-to-severe asthma treatment remain limited, highlighting the urgent need for novel therapeutic drug targets. In this study, we aimed to identify new treatment targets for asthma using the Mendelian randomization method and large-scale genome-wide association data (GWAS).
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