Abstract
Purpose: The purpose of this study was to identify subtypes in patients with mild-to-moderate airflow limitation and to appreciate their clinical and socioeconomic implications. Methods: Subjects who were aged ≥20 years and had forced expiratory volume in 1 second (FEV1) ≥60% predicted and FEV1/forced vital capacity <0.7 were selected from the fourth Korea National Health and Nutrition Examination Survey (KNHANES) in 2007–2012. The data were merged to the National Health Insurance reimbursement database during the same period. k-Means clustering was performed to explore subtypes. For clustering analysis, six key input variables – age, body mass index (BMI), FEV1% predicted, the presence or absence of self-reported wheezing, smoking status, and pack-years of smoking – were selected. Results: Among 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 FEV1 (102%±8% predicted), and asthmatic group was the youngest (46±9 years). COPD and COPD-overlap groups were male predominant and all current or ex-smokers. While asthmatic group had the lowest prescription rate despite the highest proportion of self-reported wheezing, COPD, asthmatic-overlap, and COPD-overlap groups showed high prescription rate of respiratory medicine. Although COPD group formed only 1.7% of total subjects, they showed the highest mean medical cost and health care utilization, comprising 5.3% of the total medical cost. When calculating a ratio of total medical expense to household income, the mean ratio was highest in the COPD group. Conclusion: Clinical 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.
Original language | English |
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Pages (from-to) | 1135-1144 |
Number of pages | 10 |
Journal | International Journal of COPD |
Volume | 12 |
DOIs | |
State | Published - 12 Apr 2017 |
Bibliographical note
Funding Information:This research was supported by the Research Program funded by the Korea Centers for Disease Control and Prevention (2014-E33003-00) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (2010-0027945). HIRA provided the NHI claim database and merged them with data from the Korean National Health and Nutritional Examination Survey (KNHANES). The abstract of this article was presented at the XXIV World Allergy Congress (WAC), the 21st Congress of Asian Pacific Society of Respirology (APSR), the Chest 2016 Annual Meeting, as a poster presentation with interim findings. The poster’s abstract was published in “Poster Abstracts” in Respirology: http://onlinelibrary.wiley.com/doi/10.1111/resp.12706_4/ full, and Chest: http://journal.publications.chestnet.org/ article.aspx?articleID=2568574.
Publisher Copyright:
© 2017 Lee et al.
Keywords
- Asthma
- COPD
- Cluster
- Health care utilization
- Overlap
- Phenotype