PD1010 - PHASE ANGLE AND TEMPORAL MUSCLE THICKNESS ARE ASSOCIATED WITH NON-ROBUST STATUS IN OLDER ADULTS

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PD1010

PHASE ANGLE AND TEMPORAL MUSCLE THICKNESS ARE ASSOCIATED WITH NON-ROBUST STATUS IN OLDER ADULTS

A. Temel1,*, O. Gumuscubuk2, V. Atmis2, O. Ulusoy1, E. Kavasoglu Canatan3, V. Aykac4, S. Demirer5

1Department of Internal Medicine, 2Department of Internal Medicine, Division of Geriatric Medicine, 3Department of Clinical Nutrition and Dietetics, Ankara University Faculty of Medicine, Ankara, Türkiye, 4Geriatrics, Evangelisches Geriatriezentrum Berlin-Charité Universitätsmedizin, Berlin, Germany, 5Department of General Surgery, Ankara University Faculty of Medicine, Ankara, Türkiye

 

Rationale: Identifying non-robust older adults remains clinically challenging, particularly in early frailty-related decline. Phase angle (PhA), derived from bioelectrical impedance analysis, and ultrasonographically measured temporal muscle thickness are promising markers; however, their associations with non-robust status have not been sufficiently explored.

Methods: A total of 127 community-dwelling older adults (59.8% female; mean age 72.5+-5.5 years) who attending a geriatric outpatient clinic were included. Frailty was assessed using the Clinical Frailty Scale, and participants were categorized as robust or non-robust (pre-frail/frail). Spearman’s correlation, Mann–Whitney U test, multivariable logistic regression, and receiver operating characteristic (ROC) analyses were performed.

Results: PhA showed the strongest inverse correlation with CFS score (rho=−0.50, p<0.001), followed by temporal muscle thickness (TMT) (rho=−0.37, p<0.001). Compared with robust participants, non-robust individuals had significantly lower PhA and TMT values. In multivariable logistic regression analysis including both PhA and TMT, both variables remained significantly associated with non-robust status (PhA: OR 0.565, 95% CI 0.35–0.92; TMT: OR 0.568, 95% CI 0.35–0.94), whereas other muscle-related measures lost significance in multivariable models. ROC analysis showed good discrimination for PhA (AUC=0.808, 95% CI 0.704–0.912) and acceptable discrimination for TMT (AUC=0.757, 95% CI 0.633–0.881). A PhA cut-off value of ≤5.35 identified non-robust status with 90.5% sensitivity and 62.3% specificity.

Conclusion: PhA and TMT were associated with non-robust status and may be useful as practical markers in frailty-oriented assessment of older adults.

Disclosure of Interest: None declared