Abstract
BACKGROUND: Respiratory symptoms are increasingly recognized as an important consideration in COPD management. Understanding the links between the time(s) of day symptoms are experienced and overall symptom burden could support personalized management strategies. This real-world study aimed to establish the association between the time of day of symptoms and the burden on patients using validated patient-reported outcomes, health care resource utilization, and physician-perceived impact of COPD on patients' lives. MATERIALS AND METHODS: Analyses used data from four waves (2012, 2013, 2014, and 2016) of the Respiratory Disease Specific Programme: cross-sectional surveys of patients with COPD in Germany, Italy, Spain, and the UK. Patients were classified by their physicians as having symptoms in the morning (M), daytime (D), and/or nighttime (N) in the 4 weeks before entering the Disease Specific Programme. Outcomes included health care resource utilization, work productivity and activity impairment, COPD Assessment Test, EuroQol 5-dimension 3-level questionnaire with visual analog scale, and Jenkins Sleep Evaluation Questionnaire. RESULTS: In total, 8,844 patients were included, and 8,185 had evaluable time-of-day symptom data. Physicians reported that in the previous 4 weeks, 25% of patients experienced no symptoms, 16% D only, 17% M/D only, 6% D/N only, 4% M, N, or M/N only, and 32% M/D/N. In general, patients with M/D/N symptoms utilized more health care resources in the previous 12 months, had more prior exacerbations, and reported worse activity impairment, health status, and sleep than other symptom groups, whereas patients with symptoms at any time of the day utilized more resources, experienced more exacerbations, and reported worse health status than patients with no symptoms during the 4 weeks before entering the survey. CONCLUSION: Patients experiencing morning, daytime, and nighttime symptoms experience a greater disease burden than those in other groups. An individualized approach to COPD treatment based on the timing and persistence of symptoms may improve outcomes for these patients.