ArticleInternational journal of general medicine2026
Association Between Nutritional Status and Severe Sarcopenia in Maintenance Hemodialysis Patients: A Multicenter Cross-Sectional Study with Diagnostic Model Development.
Article in International journal of general medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Sarcopenia is highly prevalent in maintenance hemodialysis (MHD) patients and is associated with adverse outcomes, yet simple bedside tools to identify those with severe sarcopenia remain scarce. We aimed to develop and internally validate a nomogram-based diagnostic model for severe sarcopenia using routine nutritional indicators. Methods: This multicenter cross-sectional study enrolled 131 MHD patients from two Chinese tertiary hospitals (2024-2026). Sarcopenia was classified by AWGS 2019 criteria into non‑sarcopenia (n=68), sarcopenia (n=29), and severe sarcopenia (n=34). Nutritional parameters included albumin, BMI, PNI, and NRS2002. Ordinal logistic regression, restricted cubic splines, and subgroup analyses were performed. A combined diagnostic model was built with binary logistic regression and validated by bootstrapping. Performance was assessed via ROC, calibration, DCA, and incremental metrics (NRI/IDI). Results: Higher BMI was independently associated with lower odds of more severe sarcopenia (OR per 1 kg/m Conclusion: A simple nomogram incorporating age, sex, albumin, BMI, and NRS2002 demonstrated good discriminative ability for identifying severe sarcopenia in MHD patients in our internal validation and may serve as a potential tool for bedside risk stratification by nurses. However, external validation is warranted before clinical implementation.
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