ArticleScientific reports2021
Usefulness of computed tomography-measured psoas muscle thickness per height for predicting mortality in patients undergoing hemodialysis.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Paraspinous muscle sarcopenic indices for predicting mortality in patients undergoing hemodialysis.Renal failure · 2025Article
- Unilateral psoas muscle sarcopenic indices, all-cause mortality, and novel cardiovascular events in patients undergoing hemodialysis.Journal of nephrology · 2025Article
- Psoas muscle gauge and adverse clinical outcomes in patients on hemodialysis.Journal of nephrology · 2025Article
- Measuring computed tomography-assessed sarcopenic indices in hemodialysis patients.International urology and nephrology · 2025Article
- Observational
- Clinical usefulness of psoas muscle thickness for the prognosis of acute type A aortic dissection patients undergoing total arch replacement.Journal of thoracic disease · 2024Article
- Making the invisible visible: imaging techniques for assessing muscle mass and muscle quality in chronic kidney disease.Clinical kidney journal · 2024Review
- Causal factors of cardiovascular disease in end-stage renal disease with maintenance hemodialysis: a longitudinal and Mendelian randomization study.Frontiers in cardiovascular medicine · 2024Article
- Low muscle strengthRenal failure · 2023Article
- Article
- Psoas muscle index and psoas muscle density as predictors of mortality in patients undergoing hemodialysis.Scientific reports · 2022Article
- Skeletal muscle density measured by computed tomography as a predictor of mortality in patients receiving hemodialysis.Journal of nephrology · 2022Article
- Combined Evaluation of Geriatric Nutritional Risk Index and Modified Creatinine Index for Predicting Mortality in Patients on Hemodialysis.Nutrients · 2022Article
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4 authors.
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Abstract
Computed tomography (CT)-measured psoas muscle thickness standardized for height (PMTH) has emerged as a promising predictor of mortality. The study aimed to investigate whether PMTH could accurately predict mortality in patients undergoing hemodialysis. We examined 207 patients (mean age: 63.1 years; men: 66.2%) undergoing hemodialysis for more than 6 months in hospital affiliated clinic. PMTH was calculated at the L3 vertebra level using CT. Patients were divided according to the PMTH cut-off points: 8.44 mm/m in women and 8.85 mm/m in men; thereafter, they were combined into low and high PMTH groups. PMTH was independently correlated with the simplified creatinine index (β = 0.213, P = 0.021) and geriatric nutritional risk index (β = 0.295, P < 0.0001) in multivariate regression analysis. During a median follow-up of 3.7 (1.8-6.4) years, 76 patients died, including 41 from cardiovascular causes. In the multivariate Cox regression analysis, low PMTH (adjusted hazard ratio, 2.48; 95% confidence interval, 1.36-4.70) was independently associated with an increased risk of all-cause mortality. The addition of binary PMTH groups to the baseline risk model tended to improve net reclassification improvement (0.460, p = 0.060). In conclusion, PMTH may be an indicator of protein energy wasting and a useful tool for predicting mortality in patients undergoing hemodialysis.
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