Real-World Economic Burden Of Rapid Disease Progression (Rdp) In Patients (Pts) With Advanced/Metastatic Non-Small Cell Lung Cancer (Ansclc).

JOURNAL OF CLINICAL ONCOLOGY(2019)

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e20716 Background: RDP on initial therapy imposes significant clinical burden among pts with aNSCLC. This retrospective claims study provides estimates of the economic burden associated with RDP during subsequent therapy following RDP v non-RDP on platinum-based (Pt) therapy. Methods: Adult Medicare Advantage or commercially insured aNSCLC pts receiving a subsequent line of therapy (LOT) from 03/2015 to 08/2017 after initial Pt therapy were identified in the Optum Research Database and assigned to unmatched RDP & non-RDP cohorts based on Pt treatment duration (≤ 12 and > 12 weeks, respectively) as a surrogate. All-cause healthcare costs were inflation adjusted to 2017 US$ and computed as per patient per month (PPPM) during the subsequent LOT. Total costs were the sum of medical (inpatient, ambulatory, ER, and other costs) and outpatient pharmacy costs. Results: Patient characteristics were similar between RDP (n = 751) and non-RDP (n = 1,304) cohorts, with mean age of 68 years for the total study sample (n = 2,055). Overall, nivolumab was the most common subsequent regimen post Pt; 40% of the total study sample. While duration of subsequent LOTs was shorter for RDP pts (Kaplan-Meier median, 167 v 192 days and log rank test P = 0.03), mean systemic therapy drug costs were similar ($10,516 v $9,642, P = 0.14) during the LOT and PPPM total costs for RDP pts were $4,103 higher than those for non-RDP pts, driven by higher PPPM costs for inpatient stays and ambulatory visits (Table). Conclusions: This study sheds light on the significant economic burden of aNSCLC that rapidly progresses, and may inform management strategies to improve outcomes and lower downstream costs for RDP pts. Future research should continue to explore unmet needs for RDP pts, including underlying cost drivers, to provide context for the rapidly changing aNSCLC treatment landscape.[Table: see text]
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