Practical Geriatrics ›› 2026, Vol. 40 ›› Issue (8): 805-810.doi: 10.3969/j.issn.1003-9198.2026.08.010

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Development of a sarcopenia screening model for hospitalized elderly patients based on calf circumference, body mass index, and geriatric nutritional risk index

YU Xinxue, JIN Di, QUAN Jingwen, JIANG Juan, LIU Juanzi, WEI Yuanhao, XIE Hong, HUANG Jinmei, XU Xi   

  1. Department of Nutrition (YU Xinxue, JIN Di, QUAN Jingwen, LIU Juanzi, WEI Yuanhao, XU Xi); Department of Clinical Laboratory (JIANG Juan); Department of Emergency Medicine (XIE Hong),Chinese PLA General Hospital of Southern Theatre Command, Guangzhou 510010, China;
    Department of Clinical Nutrition, Chongqing University Jiangjin Hospital, Chongqing 402260, China (HUANG Jinmei)
  • Received:2026-02-28 Online:2026-08-20 Published:2026-08-24
  • Contact: XU Xi, Email: xu_xi72@163.com

Abstract: Objective To explore the association of calf circumference (CC), body mass index (BMI), and geriatric nutritional risk index (GNRI) with sarcopenia in hospitalized elderly patients, and to develop and validate a risk screening model for sarcopenia. Methods This cross-sectional study enrolled hospitalized patients aged ≥60 years at Chinese PLA General Hospital of Southern Theatre Command from January to June 2025. Demographic information, laboratory tests, and anthropometric measurements were collected. Patients were classified into sarcopenia group and non-sarcopenia group according to the Asian Working Group for Sarcopenia (AWGS) 2019 criteria. Multivariate logistic regression analysis was used to explore the independent influencing factors for sarcopenia in the hospitalized patients aged 60 years and over. And a predictive model was developed. Receiver operating characteristic (ROC) curve analysis and consistency testing were used to evaluate the predictive efficacy of the model. Results A total of 328 hospitalized elderly patients were enrolled in this study, and 191 cases (58.2%) were diagnosed with sarcopenia. Multivariate logistic regression analysis revealed that CC, BMI, and GNRI were independent protective factors for sarcopenia in hospitalized elderly patients. ROC curve analysis showed that the combined model incorporating CC, BMI, and GNRI demonstrated an area under the curve (AUC) of 0.855 (95%CI: 0.812-0.891), with a sensitivity of 85.9% and a specificity of 68.6%. Bootstrap internal validation showed good consistency. Conclusions CC, BMI, and GNRI are protective factors against sarcopenia in hospitalized elderly patients. The combined model based on these three indicators is simple, accessible, and exhibits satisfactory screening performance, making it an effective tool for the early identification of sarcopenia in this clinical population.

Key words: sarcopenia, calf circumference, body mass index, geriatric nutritional risk index, hospitalized elderly patients

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