Healthcare Costs and Resource Utilisation of Italian Metastatic Non-Small Cell Lung Cancer Patients
View abstract on PubMed
Summary
This summary is machine-generated.The introduction of first-line immuno-oncology (IO) therapy for non-small cell lung cancer increased treatment costs but improved survival. Patients with specific mutations incurred higher overall healthcare expenses compared to those without.
Area Of Science
- Oncology
- Health Economics
Background
- Metastatic non-small cell lung cancer (NSCLC) presents a significant economic burden.
- The advent of immuno-oncology (IO) regimens has altered treatment paradigms and associated costs.
Purpose Of The Study
- To evaluate the economic impact of first-line (1L) IO therapy in metastatic NSCLC patients.
- To compare healthcare costs and healthcare resource utilization (HCRU) before and after the availability of 1L IO treatments.
Main Methods
- Retrospective analysis of 644 metastatic NSCLC patients from 2014-2020.
- Patients categorized by mutational status (mutation-positive vs. negative/unknown) and treatment era (pre- vs. post-1L IO availability).
- Comparison of mean total and per-month healthcare costs and HCRU for 1L treatment and overall follow-up.
Main Results
- Mutation-positive patients incurred substantially higher 1L and overall follow-up costs compared to negative/unknown groups.
- Introduction of 1L IO (pembrolizumab) increased mean 1L costs (EUR 7,804 pre-IO vs. EUR 19,301 post-IO) but was associated with improved survival.
- Therapy costs dominated 1L expenses, while hospitalization costs increased during follow-up, particularly in the negative/unknown group.
Conclusions
- While 1L IO therapy for NSCLC increases upfront costs, it is associated with improved survival outcomes.
- Economic burden varies significantly based on mutational status, with mutation-positive patients facing higher long-term costs.
- Increased hospitalization and emergency room utilization in the negative/unknown group post-IO suggests poorer clinical trajectories compared to mutation-positive counterparts.

