Predictive Accuracy of Calf Circumference Measurements to Detect Decreased Skeletal Muscle Mass and European Society for Clinical Nutrition and Metabolism-Defined Malnutrition in Hospitalized Older Patients

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Abstract

Background/Aims: The ability to readily diagnose sarcopenia and malnutrition in a clinical setting is essential. This study is aimed at clarifying the calf circumference (CC) cut-off values for decreased skeletal muscle mass (SMM), according to the Asian Work Group for Sarcopenia's criteria definition of sarcopenia, and those for European Society for Clinical Nutrition and Metabolism-defined malnutrition, in hospitalized Japanese patients. Methods: The study involved 1,164 patients aged ≥65 years. Predictive CC cut-off values were determined using receiver operating curve (ROC) analyses. The predictive validity of the cut-off values was confirmed against in-hospital mortality. Results: There were 654 females and 510 males (mean age, 83.5 ± 8.2 years). Decreased SMM and malnutrition were observed in 80.4 and 32.8% of all patients, respectively. ROC analyses identified CCs of ≤29 cm (female, area under the curve [AUC] 0.791) and ≤30 cm (male, AUC 0.832) as cut-off values for decreased SMM, and CCs of ≤26 cm (female, AUC 0.798) and ≤28 cm (male, AUC 0.837) for malnutrition. CC cut-off values for SMM and malnutrition were independently correlated with in-hospital mortality. Conclusions: The study determined appropriate cut-off values for CC to identify decreased SMM and malnutrition according to the relevant guidelines.

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Maeda, K., Koga, T., Nasu, T., Takaki, M., & Akagi, J. (2017). Predictive Accuracy of Calf Circumference Measurements to Detect Decreased Skeletal Muscle Mass and European Society for Clinical Nutrition and Metabolism-Defined Malnutrition in Hospitalized Older Patients. Annals of Nutrition and Metabolism, 71(1–2), 10–15. https://doi.org/10.1159/000478707

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