ConclusionĬonstructing a frailty scale from existing PRO items commonly collected in cancer trials may be a patient-centric and practical approach to measuring frailty. Among the 4928 patients included in this study, PRFP classified 2729 (55.4%) patients as fit, 1209 (24.5%) as pre-frail, and 990 (20.1%) as frail. Known groups analysis demonstrated that PRFP could be used to detect distinct comorbidity levels and distinguish between different functional profiles, with frail patients reporting more difficulty in walking about, washing/dressing, and doing usual activities, as compared to their pre-frail and fit counterparts. Selected items were well correlated with one another and PRFP as a whole demonstrated adequate internal consistency reliability and structural validity. This study demonstrated the feasibility of adapting patient responses to relevant EORTC QLQ-C30 items to serve as proxy Fried frailty criteria. PRFP was assessed for internal consistency reliability, structural validity, and known groups validity. Baseline EORTC QLQ-C30 responses were used to derive a patient-reported frailty phenotype (PRFP), based on the Fried definition of frailty. The objective of this retrospective study was to determine the feasibility of measuring frailty using patient responses to relevant EORTC QLQ-C30 items as proxy criteria for the Fried Frailty Phenotype, in a cohort of patients with Relapsed/Refractory Multiple Myeloma (RRMM).ĭata were pooled from nine Phase III randomized clinical trials submitted to the FDA for regulatory review between 20, for the treatment of RRMM.
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