HR+/HER2-Metastatic Breast Cancer: Epidemiology, Prescription Patterns, Healthcare Resource Utilisation and Costs from a Large Italian Real-World Database

摘要

Background and Objective Breast cancer is the second leading cause of cancer death worldwide. The economic burden of breast cancer is crucial for the sustainability of healthcare systems. The objective of this study was to estimate the burden of HR+/HER2- metastatic breast cancer (MBC) in Italy, in terms of incidence, prescription patterns, healthcare resource utilisation and costs for the National Health System (NHS). Methods A cohort study based on healthcare administrative data (ReS database), covering > 10 million Italians, was performed. Incident cases of HR+/HER2- MBC were identified among adult women in 2013. The cohort was followed-up for 2 years to describe healthcare utilisation and integrated costs (pharmaceuticals, hospitalisations and outpatient services) for NHS. Prescription patterns were described as first-line choice and therapeutic changes. Specific therapeutic changes were used as proxies of disease progression. A survival analysis was performed to estimate the time from diagnosis to first disease progression. Results Of 5174,723 women, 355 cases of de novo HR+/HER2- MBC were selected (incidence: 6.9 per 100,000). During the 1st follow-up year, they generated an average cost of euro7543, whereas euro4834 in the 2nd year. The 85.9% received a monotherapy, while the 14.1% received a combination therapy. The most used monotherapy was nonsteroidal-aromatase-inhibitors (45.9%), while the most prescribed combination was tamoxifen + luteinizing hormone releasing hormone (LHRH) analogues (6.2%). Therapeutic changes occurred in 45.4% of patients, especially from chemotherapy to nonsteroidal-aromatase-inhibitors, after an average of 276.8 days from the first treatment. Disease progression was identified in 22.5% of patients occurring after a mean 13 +/- 6 months from diagnosis. Conclusions This detailed picture of HR+/HER2- MBC, based on real-world data, could be helpful in health technology assessment and expenditure forecasts of future therapeutic strategies for this condition in Italy.