ArticlePloS one2019
The associations of fat tissue and muscle mass indices with all-cause mortality in patients undergoing hemodialysis.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.
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Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Lean tissue mass is associated with adverse outcomes across different stages of chronic kidney disease: a systematic review and meta-analysis.Scientific reports · 2026Pooled it
- Obesity measurement methods estimated mortality risk in patients undergoing hemodialysis: a systematic review and meta-analysis.International urology and nephrology · 2025Pooled it
- Utility of ultrasound in measuring quadriceps muscle thickness in patients receiving maintenance hemodialysis: comprehensive systematic review and meta-analysis.Clinical and experimental nephrology · 2025Pooled it
- Body Composition and Intradialytic Exercise in Kidney Disease: A Combined Analysis of the PEDAL and CYCLE-HD Randomised Controlled Trials.Journal of cachexia, sarcopenia and muscle · 2025Trial
- Adverse Muscle Composition Is an Early Feature of Chronic Kidney Disease and Associates With Poor Function and Comorbidities.Kidney medicine · 2026Article
- Prognostic Features for Overall Survival in Male Diabetic Patients Undergoing Hemodialysis Using Elastic Net Penalized Cox Regression; A Machine Learning Approach.Archives of Iranian medicine · 2025Article
- Abdominal subcutaneous fat area can predict 2-year survival in patients with end-stage renal disease initiating hemodialysis.PloS one · 2025Article
- The usefulness of a body shape index in assessing muscle function and strength in older adults hemodialysis patients.Frontiers in endocrinology · 2025Article
- Article
- Low muscle strengthRenal failure · 2023Article
- Physical performance and muscle strength rather than muscle mass are predictor of all-cause mortality in hemodialysis patients.Frontiers in public health · 2023Article
- Article
- Value of neutrophil-to-lymphocyte ratio for diagnosing sarcopenia in patients undergoing maintenance hemodialysis and efficacy of Baduanjin exercise combined with nutritional support.Frontiers in neurology · 2023Article
- Quadriceps muscle thickness assessed by ultrasound is independently associated with mortality in hemodialysis patients.European journal of clinical nutrition · 2022Article
- The importance of muscle mass in predicting intradialytic hypotension in patients undergoing maintenance hemodialysis.Kidney research and clinical practice · 2022Article
- Intradialytic nutrition and quality of life in Chilean older patients in hemodialysis with protein-energy wasting.International urology and nephrology · 2022Article
- Psoas muscle index and psoas muscle density as predictors of mortality in patients undergoing hemodialysis.Scientific reports · 2022Article
- Sarcopenia and Mortality in Older Hemodialysis Patients.Nutrients · 2022Article
- Combined Evaluation of Geriatric Nutritional Risk Index and Modified Creatinine Index for Predicting Mortality in Patients on Hemodialysis.Nutrients · 2022Article
- Annual change in the extracellular fluid/intracellular fluid ratio and mortality in patients undergoing maintenance hemodialysis.Scientific reports · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-energy wasting, which involves loss of fat and muscle mass, is prevalent and is associated with mortality in hemodialysis (HD) patients. We investigated the associations of fat tissue and muscle mass indices with all-cause mortality in HD patients. The study included 162 patients undergoing HD. The fat tissue index (FTI) and skeletal muscle mass index (SMI), which represent respective tissue masses normalized to height squared, were measured by bioimpedance analysis after dialysis. Patients were divided into the following four groups according to the medians of FTI and SMI values: group 1 (G1), lower FTI and lower SMI; G2, higher FTI and lower SMI; G3, lower FTI and higher SMI; and G4, higher FTI and higher SMI. The associations of the FTI, SMI, and body mass index (BMI) with all-cause mortality were evaluated. During a median follow-up of 2.5 years, 29 patients died. The 5-year survival rates were 48.6%, 76.1%, 95.7%, and 87.4% in the G1, G2, G3, and G4 groups, respectively (P = 0.0002). The adjusted hazard ratio values were 0.34 (95% confidence interval [CI] 0.10-0.95, P = 0.040) for G2 vs. G1, 0.13 (95%CI 0.01-0.69, P = 0.013) for G3 vs. G1, and 0.25 (95%CI 0.07-0.72, P = 0.0092) for G4 vs. G1, respectively. With regard to model discrimination, on adding both FTI and SMI to a model with established risk factors, the C-index increased significantly when compared with the value for a model with BMI (0.763 vs. 0.740, P = 0.016). Higher FTI and/or higher SMI values were independently associated with reduced risks of all-cause mortality in HD patients. Moreover, the combination of the FTI and SMI may more accurately predict all-cause mortality when compared with BMI. Therefore, these body composition indicators should be evaluated simultaneously in this population.
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