Association of frailty assessed by a ten-item frailty index (FI-CGA-10) with health-related quality of life in older adults with cancer.

11047 Background: A 10-item frailty index based on a comprehensive geriatric assessment (FI-CGA-10) is a recently developed measure of frailty in the geriatric oncology setting [Oncologist, 26, e1751 (2021)]. Our objective was to investigate the association between frailty defined by the FI-CGA-10 and health-related quality of life (HRQOL) in older adults with cancer. Methods: This study included 1015 consecutive older adults with cancer who underwent a CGA before cancer treatment decision at a geriatric oncology service in Japan from February 2020 through September 2023. Fitness and frailty level was evaluated using the FI-CGA-10 that assesses 10 domains: cognition, mood, communication, mobility, balance, nutrition, base and instrumental activities of daily living, social support, and comorbidity. Deficits in each domain were scored as 0 (no problem), 0.5 (minor problem), and 1.0 (major problem). FI-CGA-10 scores (range 0-1) were calculated by dividing the sum of the scores for each domain by 10 and then categorized as fit (<0.2), pre-frail (0.2–0.35), and frail (>0.35). HRQOL was measured by the EQ-5D-5L index score and visual analogue scale (VAS) at the CGA consultation. The minimally important difference (MID) values for the EQ-5D-5L Japan-based index and VAS scores are 0.048 and 7, respectively. Associations between EQ-5D-5L and FI-CGA-10 scores were analyzed by Pearson’s correlation and linear regression models adjusting for covariates (age, sex, cancer type, and stage). Results: Median age was 80 years, 60% were male, and 68% had gastrointestinal cancer. The mean +- SD of the FI-CGA-10 score was 0.35 +- 0.19. The FI-CGA-10 negatively correlated with the EQ-5D-5L index (Pearson’s r = -0.69; 95% CI -0.72 to -0.66; P<.001) and VAS (r = -0.47; 95% CI -0.52 to -0.42; P<.001) scores. After adjusting for the covariates, each 0.1 unit increase in FI-CGA-10 score was associated with 0.070 decrease in EQ-5D-5L index (95% CI -0.075 to -0.066; P<.001) and 4.9 decrease in VAS scores (95% CI -5.5 to -4.4; P<.001). Using the three-level classification, 22% of patients (n = 221) were categorized as fit, 38% (n = 384) as pre-frail, and 40% (n =410) as frail. Overall, the fit group had the highest EQ-5D-5L index and VAS scores followed by the pre-frail and frail groups (table). The score differences between the frailty categories were statistically significant and clinically meaningful according to the MID values. Conclusions: This study demonstrated that frailty assessed by the FI-CGA-10 cross-sectionally correlated with HRQOL measured by the EQ-5D-5L in older Japanese adults with cancer. The observed association further supports construct validity of the FI-CGA-10 as a CGA-based frailty measure. [Table: see text]