ArticleJournal of cachexia, sarcopenia and muscle2023
Computed tomography-determined skeletal muscle density predicts 3-year mortality in initial-dialysis patients in China.
Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 15 citations in OpenAlex.
- Automated CT-derived visceral-to-subcutaneous fat ratio as a prognostic imaging biomarker for mortality in sepsis.European radiology · 2026Article
- Clinical significance and future applications of standardized imaging parameters for assessing paraspinal muscle fatty infiltration in lumbar degenerative disease: a narrative review.Journal of orthopaedic surgery and research · 2026Review
- Body composition radiomics combined with machine learning for early recurrence prediction in intrahepatic cholangiocarcinoma following curative surgery: A Multi-Center study.European journal of nuclear medicine and molecular imaging · 2026Article
- Body roundness index: superior predictors of intramuscular fat infiltration in general population.Frontiers in nutrition · 2026Article
- Skeletal muscle-heart crosstalk in chronic kidney disease: hierarchical signaling networks underlying myocardial metabolic reprogramming and fibrotic remodeling.Frontiers in physiology · 2026Review
- Developing an explainable machine learning model using body composition to predict cardiovascular mortality in initial dialysis patients: a multicenter study.Frontiers in physiology · 2026Article
- Paraspinous muscle sarcopenic indices for predicting mortality in patients undergoing hemodialysis.Renal failure · 2025Article
- Mediation effects of age, intramuscular adipose tissue index and serum albumin on survival status in initial dialysis patients.Renal failure · 2025Article
- Associations of skeletal muscle volume and density with cardiovascular events in maintenance hemodialysis: a cross-sectional study.BMC nephrology · 2025Article
- Association of Muscle Radiodensity and Muscle Mass With Thoracic Aortic Calcification Progression in Dialysis Patients.Journal of cachexia, sarcopenia and muscle · 2025Article
- Low skeletal muscle density is independently associated with cardiac valve calcification in dialysis patients.Frontiers in physiology · 2025Article
- Observational
- The gut microbiome, chronic kidney disease, and sarcopenia.Cell communication and signaling : CCS · 2024Review
- Prediction of hematologic toxicity in luminal type breast cancer patients receiving neoadjuvant chemotherapy using CT L1 level skeletal muscle index.Scientific reports · 2024Article
- Computed tomography-determined skeletal muscle density predicts 3-year mortality in initial-dialysis patients in China.Journal of cachexia, sarcopenia and muscle · 2023Article
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Authors and funding
18 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundSkeletal muscle mass and quality assessed by computed tomography (CT) images of the third lumbar vertebra (L3) level have been established as risk factors for poor clinical outcomes in several illnesses, but the relevance for dialysis patients is unclear. A few studies have suggested a correlation between CT-determined skeletal muscle mass and quality at the first lumbar vertebra (L1) level and adverse outcomes. Generally, chest CT does not reach beyond L1. We aimed to determine whether opportunistic CT scan (chest CT)-determined skeletal muscle mass and quality at L1 are associated with mortality in initial-dialysis patients.
methodsThis 3-year multicentric retrospective study included initial-dialysis patients from four centres between 2014 and 2017 in China. Unenhanced CT images of the L1 and L3 levels were obtained to assess skeletal muscle mass [by skeletal muscle index, (SMI), cm
resultsA total of 485 patients were enrolled, of whom 257 had both L1 and L3 images. Pearson's correlation coefficient between L1 and L3 SMI was 0.84 (P < 0.001), and that between L1 and L3 SMD was 0.90 (P < 0.001). No significant association between L1 SMI and mortality was observed (P > 0.05). Low L1 SMD (n = 280, 57.73%) was diagnosed based on the optimal cutoff value (<39.56 HU for males and <33.06 HU for females). Multivariate regression analysis revealed that the low L1 SMD group had higher risks of all-cause death (hazard ratio 1.80; 95% confidence interval 1.05-3.11, P = 0.034) and cardiac death (hazard ratio 3.74; 95% confidence interval 1.43-9.79, P = 0.007).
conclusionsIn initial-dialysis patients, there is high agreement between the L1 and L3 measures for SMI and SMD. Low SMD measured at L1, but not low SMI, is an independent predictor of both all-cause death and cardiac death.
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