Phase Angle as a Marker of Physical Function in Non-Sarcopenic Rheumatoid Arthritis

Author:

Park Hae-Yeon1ORCID,Lee Jong In2ORCID,Park Yune-Jung3ORCID,Lim Seong Hoon2ORCID

Affiliation:

1. Department of Rehabilitation Medicine, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea

2. Department of Rehabilitation Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea

3. Division of Rheumatology, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea

Abstract

Background: Rheumatoid arthritis (RA) is a chronic autoimmune inflammatory disease. Most patients with RA face a barrier to participation in social activities or exercise due to joint pain, despite the beneficial effects of exercise and physical activity. Thus, RA may be a risk factor for sarcopenia in the clinical field. Bioelectrical impedance analysis-derived phase angle (PhA) reflects cellular health and is correlated with the prognosis of various diseases. However, its association with physical function in non-sarcopenic RA female patients remains unclear. We evaluated the association between PhA values and various physical function measures in female patients with non-sarcopenic RA. Methods: Thirty-five participants with RA were screened. One met the criteria for sarcopenia. Finally, 34 patients with non-sarcopenic RA were enrolled. This cross-sectional retrospective study evaluated upper- and lower-extremity strengths, cross-sectional area of rectus femoris, 6 min walking test, Borg scale score, sit-to-stand test, and physical function and mental health from 36-Item Short Form Health Survey scores. Results: In total, 34 female participants (mean age = 49.74 ± 8.15 years) were enrolled. In non-sarcopenic RA patients, PhA was significantly correlated with BMI and ASM/(height)2. Multicollinearity was not detected among the independent variables (VIF < 5). The final multivariable regression model identified ASM/height2 as a significant predictor of PhA among non-sarcopenic RA patients. Conclusion: Multivariable linear regression analyses identified appendicular skeletal muscle mass as a significant predictor of PhA. Bioelectrical impedance analysis-derived PhA is a valuable guidance tool for RA management. PhA can be a useful clinical biomarker of muscle status in non-sarcopenic RA patients.

Funder

St. Vincent’s Hospital, Research Institute of Medical Science Foundation

Publisher

MDPI AG

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