PP046 - FAT-FREE MASS INDEX CUT-OFF VALUES IN GLOBAL LEADERSHIP INITIATIVE ON MALNUTRITION CRITERIA FOR IDENTIFYING LOW ADL AT DISCHARGE IN REHABILITATION PATIENTS

PP046

FAT-FREE MASS INDEX CUT-OFF VALUES IN GLOBAL LEADERSHIP INITIATIVE ON MALNUTRITION CRITERIA FOR IDENTIFYING LOW ADL AT DISCHARGE IN REHABILITATION PATIENTS

H. Yanagida^1,*, T. Inoue², A. Brown³, S. Kobayashi², K. Amakasu⁴, A. Saito⁵, N. Kamada⁶, A. Kasai², M. Furusawa², C. Mano¹, T. Takimoto¹, Y. Uetani⁷

¹ Department of Rehabilitation, Jiseikai-Nerimatakanodai Hospital, Tokyo, ²Graduate School of Health and Welfare, Niigata University of Health and Welfare, Niigata, ³Department of Nutrition, Kitanakagusuku wakamatsu Hospital, Okinawa, ⁴ Department of Rehabilitation, Shinrakuen Hospital, ⁵Department of Nutrition, Yoshida Hospital, Niigata, ⁶ Department of Rehabilitation, Nippon Medical School Hospital, ⁷Tokyo College of Medical Sports, Tokyo, Japan

Rationale: Fat-free mass index (FFMI) is a component for assessing reduced muscle mass within the Global Leadership Initiative on Malnutrition (GLIM) criteria; however, their validity for predicting functional outcomes in rehabilitation patients remains unclear. We aimed to determine FFMI cut-off values for predicting low activities of daily living (ADL) at discharge and evaluate their predictive performance in this population.

Methods: We included patients admitted to two rehabilitation facilities May 2025-March 2026. FFMI was measured by bioelectrical impedance analysis at admission. Low ADL was defined as the lowest quartile of motor Functional Independence Measure (FIM) scores at discharge. FFMI cut-off values for predicting low ADL at discharge were determined using receiver operating characteristic (ROC) curves and the Youden index. Logistic regression analysis was performed for each sex to evaluate the effect of low FFMI and low ADL at discharge, adjusting for age, cognitive function, and time from onset.

Results: A total of 159 patients (age 81.6 ± 9.7 years; 62.3% female; 68.6% musculoskeletal disease)．FFMI cut-off values for predicting low ADL at discharge were 14.8 kg/m² for males (AUC 0.769) and 12.4 kg/m² for females (AUC 0.759). In multivariate analysis, 12.4 kg/m² in females was significantly associated with low ADL at discharge (odds ratio [OR] 7.45; 95% confidence interval [CI]: 2.49–23.86; p < 0.001). For males, the 14.8 kg/m² showed a trend toward an association but was not significant (OR 3.17; 95% CI: 0.52–23.98; p = 0.224). 

Conclusion: Newly determined FFMI cut-off values for predicting low ADL at discharge were 14.8 kg/m² for males and 12.4 kg/m² for females. While the cut-off for females significantly predicted low ADL at discharge, further investigation is required to confirm the predictive validity in males.

Disclosure of Interest: None declared