Abstract
ObjectivesThe long-term clinical trajectory of chronic obstructive pulmonary disease (COPD) in terms of year-to-year hospital utilisation rates can be highly variable and is not well studied. We investigated year-to-year trends of hospitalisation or emergency department (ED) visits among patients with COPD over 3 years, identified distinct trajectories and examined associated predictive factors.DesignA retrospective cohort study.SettingData were extracted from the Changi General Hospital, Singapore COPD data warehouse.ParticipantsPatients with COPD aged ≥40 years with 3 years of follow-up data.Primary and secondary outcome measuresThe yearly rates of hospitalisations or ED visits, stratified by COPD-related or all-cause, were described. Group-based trajectory modelling was used to identify clinically distinct trajectories year-by-year. Baseline predictive factors associated with different trajectories were examined.ResultsIn total, 396 patients were analysed (median age 70 years; 87% male). Four trajectories were generated for year-to-year trends in COPD-related hospitalisations/ED visits (C1–C4: consistently frequent, consistently infrequent, improving and worsening); post-bronchodilator forced expiratory volume in 1 second (FEV1) was a significant predictor of trajectory, with worse lung function being the main factor associated with less favourable trajectories. For all-cause hospitalisations/ED visits, four trajectories were identified (A1–A4: infrequent and stable, frequent and stable, frequent and decreasing, frequent and increasing); significant differences in age (p=0.041), sex (p=0.016) and ethnicity (p=0.005) were found between trajectories. Higher overall comorbidity burden was a key determinant in less favourable trajectories of all-cause hospitalisations/ED visits.ConclusionsDistinct trajectories were demonstrated for hospitalisations/ED visits related to COPD or all causes, with predictive associations between FEV1and COPD trajectory and between comorbidities and all-cause trajectory. Trajectories carry nuanced prognostic information and may be useful for clinical risk stratification to identify high-risk individuals for preventative treatments.
Reference21 articles.
1. Global Initiative for Chronic Obstructive Lung Disease . Global Initiative for Chronic Obstructive Lung Disease - global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease 2022 report. 2022. Available: https://goldcopd.org/wp-content/uploads/2021/12/GOLD-REPORT-2022-v1.1-22Nov2021_WMV.pdf.
2. World Health Organization . World Health Organization fact sheet: the top 10 causes of death. 2020. Available: https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death
3. Economic burden of chronic obstructive pulmonary disease (COPD): a systematic literature review;Iheanacho;Int J Chron Obstruct Pulmon Dis,2020
4. Lim S , Lam DC-L , Muttalif AR , et al . Impact of chronic obstructive pulmonary disease (COPD) in the Asia-Pacific region: the EPIC Asia population-based survey. Asia Pac Fam Med 2015;14:4. doi:10.1186/s12930-015-0020-9
5. Singapore Ministry of Health . Singapore Ministry of Health - fee benchmarks and bill amount information: lungs, chronic lung disease. 2019. Available: https://www.moh.gov.sg/cost-financing/fee-benchmarks-and-bill-amount-information/Details/E65B--0