PD1007 - MID-UPPER ARM CIRCUMFERENCE CUT-OFF VALUES FOR LOW MUSCLE MASS AND ASSOCIATION WITH FUNCTIONAL OUTCOMES IN OLDER REHABILITATION PATIENTS

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PD1007

MID-UPPER ARM CIRCUMFERENCE CUT-OFF VALUES FOR LOW MUSCLE MASS AND ASSOCIATION WITH FUNCTIONAL OUTCOMES IN OLDER REHABILITATION PATIENTS

A. Brown1,2,*, T. Inoue2, K. Amakasu2,3, A. Saito2,4, N. Kamada5, A. Kasai2,6, M. Furusawa2, H. Yanagida7, S. Kobayashi2, Y. Wakunami8

1Department of Nutrition, Kitanakagusuku Wakamatsu Hospital, Okinawa, 2Graduate School of Health and Welfare, Niigata University of Health and Welfare, 3Department of Rehabilitation, Shinrakuen Hospital, 4Department of Nutrition, Yoshida Hospital, Niigata, 5Department of Rehabilitation, Nippon Medical School Hospital, Tokyo, 6Department of Prevention and Care Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, 7Department of Rehabilitation, Jiseikai-Nerimatakanodai Hospital, Tokyo, 8Department of Internal Medicine, Kitanakagusuku Wakamatsu Hospital, Okinawa, Japan

 

Rationale: Mid-upper arm circumference (MUAC) may be a useful alternative for assessing muscle mass when bioelectrical impedance analysis (BIA) and other methods may not be feasible. However, evidence regarding MUAC cut-off values in Japanese rehabilitation patients remains limited. This study aimed to determine MUAC cut-off values and examine their association with functional outcomes.

Methods: This two-center prospective observational study included patients aged ≥65 years who were admitted to rehabilitation wards between May 2025 and February 2026. Low muscle mass was defined as the lowest quartile of fat-free mass index (FFMI) measured by bioelectrical impedance analysis (BIA) within our study population. Receiver operating characteristic (ROC) analysis was used to determine optimal MUAC cut-off values. Multivariable regression analysis examined the associations of MUAC-defined malnutrition and MUAC-defined low muscle mass with motor Functional Independence Measure (FIM) at discharge.

Results: A total of 143 patients (median age 84 years; 62.9% women) were analyzed. Musculoskeletal disorders were most common (72.7%), followed by cerebrovascular diseases (21.7%). MUAC correlated with FFMI in both men (r = 0.686) and women (r = 0.561). MUAC cut-off values were 25.0 cm in men and 24.2 cm in women based on the lowest FFMI quartile (AUC 0.871, 0.698). Sensitivity and specificity were 100% and 65.9% in men; 81.8% and 52.9% in women. These cut-off values were set at <25 cm in men and <24 cm in women for clinical use. MUAC-defined malnutrition was independently associated with motor FIM at discharge (β = −5.79, p = 0.009), whereas MUAC-defined low muscle mass was not associated (β = −1.75, p = 0.350).

Conclusion: MUAC may be a practical alternative for assessing muscle mass when BIA and other methods may not be feasible and may be associated with functional outcomes at discharge.

Disclosure of Interest: None declared