ArticleDiagnostics (Basel, Switzerland)2024
Validation of Ultrasound Measurement of Vastus Lateralis for Appendicular Skeletal Muscle Mass in Chronic Kidney Disease Patients with Hemodialysis.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Muscle point-of-care ultrasound as a predictor of mortality in older adults with hip fracture.European geriatric medicine · 2026Observational
- Unravelling Sarcopenia in Chronic Kidney Disease: From Pathogenesis to Diagnosis and Therapeutics.Diagnostics (Basel, Switzerland) · 2026Review
- Calf circumference predicts sarcopenia and all-cause mortality in older patients undergoing maintenance hemodialysis: A prospective cohort study.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026Observational
- Analysis of muscle architecture variables and their relationship with functional capacity in patients with fibromyalgia: A cross-sectional study.Therapeutic advances in musculoskeletal disease · 2026Article
- Diagnostic performance of ultrasonographic medial gastrocnemius muscle thickness for sarcopenia in patients on maintenance hemodialysis.Frontiers in medicine · 2026Article
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Authors and funding
3 authors.
Funding
Abstract
backgroundChronic kidney disease patients undergoing hemodialysis (HD) are at a high risk of developing sarcopenia. This study aimed to validate the performance of ultrasound (US) measurements of the vastus lateralis (VL) for estimating muscle mass and diagnosing sarcopenia in CKD patients with HD.
methodsForty-six patients were enrolled in this study. Muscle thickness (MT) and echo intensity (EI) of VL, physical performance, and biochemical markers were collected to establish a linear regression model for predicting appendicular skeletal muscle mass (ASM), using dual-energy X-ray absorptiometry (DXA) as the reference standard. The model's performance was validated, and its diagnostic accuracy for sarcopenia was also evaluated.
resultsAn ASM prediction model was derived: -20.17 + 1.90 × MT_VL (cm) + 1.58 × male + 0.16 × Height (cm) + 0.09 × Weight (kg) + 0.05 × Age (year), with a standard estimated error of 1.44 kg and adjusted R-squared of 0.84. The model exhibited high correlation and an acceptable limit of agreement, compared to DXA measurement. EI displayed a negative correlation with ASM and MT.
conclusionsThe ASM adjusted with BMI demonstrated superior performance in diagnosing sarcopenia compared to the ASM adjusted with height. Ultrasound provides a cost-effective bedside tool for evaluating muscle conditions in HD patients.
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