Qualitative muscle mass index as a predictor of skeletal muscle function deficit in Asian older adults

Abstract

Aim:The present cross-sectional study was carried out among community-dwelling Koreans to determine the validity of various muscle mass indices and to propose more clinically relevant diagnostic criteria.Methods: This study measured the anthropometrics, body composition and physical capability of 415 older Koreans. Skeletal muscle indices were calculated by dividing appendicular lean mass by height or weight. Apart from this, we adjusted appendicular lean mass for body mass index, body surface area or waist-to-height ratio, which we then named the qualitative muscle mass index. Skeletal muscle function deficit was defined as a combination of weakness and slowness.Results: Qualitative muscle indices were closely associated with physical capabilities. Receiver operating characteristic and logistic analyses showed that qualitative muscle indices had significantly greater discriminatory powers regarding low muscle function than did the height-adjusted index in both men and women, and even showed higher discriminatory potentials than the weight-adjusted index in men (all P < 0.05). The cut-off values of qualitative muscle indices of body mass index-, body surface area-, and waist-to-height ratio-adjusted indices for identifying functional deficits were 0.760, 11.40 and 34.18 for men, and 0.530, 8.91 and 23.07 for women, respectively. Conclusions:The present study suggests that qualitative muscle indices are more accurate in predicting low muscle function than are height-and weight-adjusted indices, because they consider anthropometric characteristics as part of the definition. The results might provide new avenues for conceptualizations of sarcopenia accompanied by obesity, and can be used as ethnic-specific reference values of muscle mass indices based on functional outcome in an elderly Korean/Asian population. Geriatr Gerontol Int 2017; 17: 99-107.

Clinical Significance of Paraspinal Muscle Parameters as a prognostic factor for survival in Gastric Cancer Patients who underwent Curative Surgical Resection

“…In our study, there was a significant difference in OS and DFS according to BSA when applying the log-rank test. In addition, BSA was correlated with PMA, as has been reported previously [28,30]. Therefore, we evaluated the clinical significance of PMA adjusted for BSA (PMA BSA ).…”

“…In our study, PMA BSA was a significant prognostic factor for both OS and DFS using the multivariate Cox model. Similarly, Chang also found that appendicular lean mass adjusted for BSA was more accurate in predicting low muscle function than are height squared- and weight-adjusted indices 30 . Because there is no available study on the clinical significance of PMA BSA in gastrointestinal tumors, further studies on the value of PMA BSA is needed for validation of our findings.…”

Determining Malnutrition Assessment Criteria to Predict One-Year Mortality for Locally Advanced Head and Neck Cancer Patients Undergoing Concurrent Chemoradiotherapy

“…Receiver operating characteristic (ROC) curves were used to determine the optimal cutoff values for the PNI, NLR, PLR, and LMR. The lowest quartile was used as the cutoff value for the LBMI [25,26], because no standard reference value was available. The associations between different clinicopathological and nutritional parameters and the one year mortality rate were analyzed by Cox proportional hazard models by applying predefined cut-off values.…”

<p>Total Psoas Area Index is Valuable to Assess Sarcopenia, Sarcopenic Overweight/Obesity and Predict Outcomes in Patients Undergoing Open Pancreatoduodenectomy</p>

“…Since no in-hospital mortality happened in the female cohort in our database, we performed receiver operating characteristic (ROC) curve analysis by taking the rate of major complications as an indicator for predictive validity to determine the optimal cutoff value of TPAI in both sexes. 8,15 Then, we defined "CT-determined sarcopenia" or "TPAI-defined sarcopenia" as less than and equal to the cut-off value of TPAI which we calculated in this study. Meanwhile, we took 24.0 kg/m 2 as the diagnosis criteria of overweight, and 28 kg/m 2 as the diagnosis criteria of obesity in the Chinese population.…”