Development and validation of a novel risk stratification algorithm for relapsed multiple myeloma.

ABSTRACT: Multiple myeloma (MM) is a malignancy with varying survival outcomes and drivers of disease progression. Existing MM staging tools were developed using data from newly diagnosed patients. As patient characteristics and disease-related factors change between diagnosis and the initiation of second-line (2L) treatment, an unmet need exists for a tool that can evaluate risk of death at first relapse. We have developed a risk stratification algorithm (RSA) using data from patients with MM who were at 2L. Hazard ratios for independent predictors of overall survival (OS) were derived from a Cox models, and individual patient scores were calculated for total risk. K-adaptive partitioning for survival was used to stratify patients into groups based on their scores. Relative risk doubled with ascend

SUBMITTER: Hajek R 

PROVIDER: S-EPMC6899684 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature