Real-World Survival Outcomes in Patients with Intermediate-to-High-Risk Non-Muscle Invasive Bladder Cancer Utilizing Medicare Claims Data: Estimating Event Free Survival and Evaluating Its Prediction of Overall Survival

Speaker(s)

Eccleston A1, Chang J2, Brinkmann J3, Cappelleri J2, Chen L2, Banks J4, Schroeder A4, Karhade M4, Salova M5
1Pfizer Inc, Edinburgh, EDH, UK, 2Pfizer Inc., New York, NY, USA, 3Pfizer Pharma GmbH, Berlin, Germany, 4Avalere Health, Washington, DC, USA, 5Avalere Health, Reston, VA, USA

OBJECTIVES: To demonstrate estimated event free survival (EFS) as a predictor for overall survival (OS) in patients with Intermediate-to-High-Risk Non-Muscle Invasive Bladder Cancer (IR/HR-NMIBC) who receive adequate BCG maintenance therapy defined as ≥7 installations of BCG within 274 days of BCG initiation.

METHODS: This was a non-interventional retrospective cohort analysis using the complete sample (100%) of Medicare Fee-for-Service beneficiaries with IR/HR-NMIBC. Estimated EFS was captured as a composite measure defined as the time in days from the index date (date of BCG initiation; inclusive) to the first occurrence of events indicating disease progression during the follow-up period. OS was measured as the time in days from the index date to the validated date of death from any cause. Random Survival Forest (RSF) was developed to elucidate variable importance for prediction of OS. Cox regression analysis was generated to investigate the strength of EFS as a predictor of OS. Survival tree analysis, informed by the RSF, was leveraged for EFS classifications for a separate Cox regression.

RESULTS: 19,859 patients with IR/HR-NMIBC and adequate BCG were identified from 2010-2020. During the median follow-up of 46.3 months, 10,008 patients had ≥1 event and 5,573 deaths were captured. The median event-free-survival time was 31.5 months. C-Index for the RSF is 0.81 in the training and the test set, and event-free-survival time and age were the most predictive covariates of OS. Cox regression results showed EFS measured in 3-month periods is positively associated with OS (HR: 0.96 p < 0.01, model concordance 0.67). Cox regression based on survival tree binary EFS classification showed EFS >41.5 months is positively associated with OS (HR: 0.60, p<0.01).

CONCLUSIONS: Results suggest that EFS is a strong predictor of OS in adequately treated IR/HR-NMIBC Medicare patients and should be further investigated as a surrogate endpoint of OS for clinical trials.

Code

CO170

Topic

Clinical Outcomes, Study Approaches

Topic Subcategory

Clinical Outcomes Assessment, Relating Intermediate to Long-term Outcomes

Disease

Drugs, Oncology