Objectives: To evaluate the agreement between a single frequency BIA and DXA for the assessment of appendicular skeletal muscle mass (ASM) and appendicular skeletal muscle mass index (ASMI) in geriatric patients.
Methods: Data of a prospective correlational study to establish a representative registry of various diagnostic approaches of sarcopenic patients in geriatric medicine were used. Measurements of body composition were performed with both Lunar iDXA (GE Medical Systems, Switzerland) and BIA101 BIVA (Akern, Italy). Pearson s correlation coefficient was calculated, and the extent of agreement was assessed using Bland-Altman plots. Discrimination between low or normal ASM and ASMI was achieved by applying EWGSOP2 cut points [1].
Results: The correlation between BIA and DXA was high for ASM (females: r=0.945, males: r=0.829) and ASMI (females: r=0.899, males: r=0.775) among the 87 study participants (mean age 82.5 years, 49% male, BMI 25.3 kg/m²). Bland" /> Introduction: The diagnosis of sarcopenia requires the measurement of muscle mass. Dual-energy X-ray absorptiometry (DXA) provides an indirect measurement of muscle mass via the appendicular lean soft tissue, while bioelectrical impedance analysis (BIA) derives an estimate of muscle mass based on whole body electrical conductivity and specific equations. DXA is considered the reference method but is costly and time-consuming, and only available in a few institutions. BIA in contrast, is a much simpler and more cost-effective method in daily clinical practice. However, there is still limited data on the accuracy of BIA in geriatric patients.
Objectives: To evaluate the agreement between a single frequency BIA and DXA for the assessment of appendicular skeletal muscle mass (ASM) and appendicular skeletal muscle mass index (ASMI) in geriatric patients.
Methods: Data of a prospective correlational study to establish a representative registry of various diagnostic approaches of sarcopenic patients in geriatric medicine were used. Measurements of body composition were performed with both Lunar iDXA (GE Medical Systems, Switzerland) and BIA101 BIVA (Akern, Italy). Pearson s correlation coefficient was calculated, and the extent of agreement was assessed using Bland-Altman plots. Discrimination between low or normal ASM and ASMI was achieved by applying EWGSOP2 cut points [1].
Results: The correlation between BIA and DXA was high for ASM (females: r=0.945, males: r=0.829) and ASMI (females: r=0.899, males: r=0.775) among the 87 study participants (mean age 82.5 years, 49% male, BMI 25.3 kg/m²). Bland" />
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