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Qualitative muscle mass index as the prognostic value of low muscle functions in the elderly.
Author(s) -
Chang Jae Seung,
Kim Hanul,
Kim TaeHo,
Cha SeungKuy,
Kong In Deok
Publication year - 2015
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.29.1_supplement.lb676
Subject(s) - sarcopenia , waist , medicine , body mass index , skeletal muscle , cutoff , muscle weakness , muscle strength , muscle mass , weakness , obesity , endocrinology , cardiology , physical therapy , surgery , physics , quantum mechanics
Sarcopenia is the gradual decreases of skeletal muscle mass and functions during aging. In general, muscle mass index as a predictor of sarcopenia should be well reflected by those of functions. However, the most widely used relative index that merely adjusted with height squared (ASM/ht 2 ) may be insufficient to diagnose sarcopenia because of unconsidering the body compositional balance and estimating error in obese individuals. Therefore, we corrected ASM by indicators of obesity (BMI, waist circumference) and metabolic mass (BSA), which was named qualitative muscle mass index (QMI). Here, we performed Student's t ‐test and ROC analysis to verify the adequacy of QMIs. Two hundred sixty two elderly participants were classified according to muscle functions. In muscle strength, all of QMIs were significantly lower in muscle weakness group compared to those of normal group regardless of gender, whereas there was no difference in ASM/ht 2 between groups in men subjects. In muscle performance, ASM/BMI was significantly lower in low gait speed group compared to that of normal group regardless of gender, while there was no difference in ASM/ht 2 between groups in both genders. Interestingly, unlike ASM/ht 2 , muscle weakness along with low gait speed can be dichotomized by ASM/BMI in both genders. The AUCs were 0.79 ( p <0.05) for men and 0.75 ( p <0.01) for women, and the cutoff values that maximized sensitivity and specificity were 0.84 kg/kg/m 2 for men and 0.58 kg/kg/m 2 for women, respectively. Taken together, these results implied that QMI such as ASM/BMI might be more suitable for predicting or reflecting functional status of skeletal muscle. Supported by Yonsei University Wonju College of Medicine Grant, YUWCM‐2013‐24