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6506 Background: In acute myeloid leukemia (AML), treatment decisions, specifically intensive versus non-intensive approaches, depend on the clinician’s assessment of patient fitness. Frailty as a measure of fitness is a broader concept than commodities and is associated with worse outcomes in many cancers. Frailty assessment is incorporated to provide the precision to oncology treatment selections in addition to disease-related factors. The impact of frailty on outcomes in AML is not well studied. Methods: This retrospective cohort study from population-based health administrative databases in Ontario, Canada (ICES) included all patients (pts) ≥18 years diagnosed with AML between 2006 and 2021, treated within 90 days after diagnosis. Frailty was measured using McIsaacs’s frailty index (MFI)- a validated tool. Progressively increasing tertiles of MFI were categorized as fit (FT), pre-frail (PFR), or frail (FR). Treatment intensity was classified as intensive (IT) or non-intensive (NIT) based on standard practices. The primary outcome was overall survival (OS). Association of frailty with OS was measured using Cox regression separately for IT and NIT AML. Results: Out of 5450 pts, with a median age of 65 (IQR 54-74), 55.8% were males and 44.2% were females. 65% (n=3543) received IT, out of which 29.4% and 35.5% pts were FR and PFR respectively. Remaining 35% (n=1907) received NIT, with 41.1% and 32.3% pts being FR and PFR. Median overall survival in months (OS, 95% CI) for the entire group, IT, and NIT were 12.5 (12.0-13.2), 16.7 (15.7-18.2), and 7.6 (7.0-8.2), respectively. OS (table) was notably lower in FR pts compared to fit pts (p<0.0001) in both IT and NIT. Univariate and multivariate analyses identified frailty, advanced age, and previous non-AML malignancy as risk factors associated with worse OS in both IT and NIT groups (table). Conclusions: Higher frailty is independently associated with worse OS in AML pts after adjusting for advanced age. A substantial proportion of AML pts in both IT and NIT groups exhibit a mismatch in treatment intensity assignments based on their frailty status, with about 30 % FR pts receiving IT and over 25 % FT pts receiving NIT. This study sheds light on the need for frailty evaluations using standardized tools to optimize treatment decisions in AML pts. Table: see text
Gupta et al. (Sat,) studied this question.