ArticleInternational journal of chronic obstructive pulmonary disease2017
Identification of subtypes in subjects with mild-to-moderate airflow limitation and its clinical and socioeconomic implications.
Article in International journal of chronic obstructive pulmonary disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Cluster Analysis of Healthcare Utilization Patterns in Patients with Comorbid Chronic Obstructive Pulmonary Disease and Atrial Fibrillation.Journal of clinical medicine · 2026Article
- Status of Studies Investigating Asthma-Chronic Obstructive Pulmonary Disease Overlap in Korea: A Review.Tuberculosis and respiratory diseases · 2022Review
- Simulation-derived best practices for clustering clinical data.Journal of biomedical informatics · 2021Article
- A Systematic Review of Asthma Phenotypes Derived by Data-Driven Methods.Diagnostics (Basel, Switzerland) · 2021Review
- Unsupervised machine learning and prognostic factors of survival in chronic lymphocytic leukemia.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Clinical profile of predefined asthma phenotypes in a large cohort of UK primary care patients (Clinical Practice Research Datalink).Journal of asthma and allergy · 2019Article
- Heterogeneity of asthma and COPD overlap.International journal of chronic obstructive pulmonary diseaseArticle
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Authors and funding
10 authors.
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Abstract
purposeThe purpose of this study was to identify subtypes in patients with mild-to-moderate airflow limitation and to appreciate their clinical and socioeconomic implications.
methodsSubjects who were aged ≥20 years and had forced expiratory volume in 1 second (FEV
resultsAmong a total of 2,140 subjects, five groups were identified through k-means clustering, namely putative "near-normal (n=232)," "asthmatic (n=392)," "chronic obstructive pulmonary disease (COPD) (n=37)," "asthmatic-overlap (n=893)," and "COPD-overlap (n=586)" subtypes. Near-normal group showed the oldest mean age (72±7 years) and highest FEV
conclusionClinical and epidemiological heterogeneities of subjects with mild-to-moderate airflow limitation and a different level of health care utilization by each subtype are shown. Identification of a subtype with high health care demand could be a priority for effective utilization of limited resources.
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