ArticleJournal of cachexia, sarcopenia and muscle2024
Prognostic Value of Systemic Inflammation, Nutritional Status and Sarcopenia in Patients With Amyotrophic Lateral Sclerosis.
Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic and Prognostic Value of Blood and Cerebrospinal Fluid Biomarkers in Amyotrophic Lateral Sclerosis: A Systematic Review and Meta-Analysis.European journal of neurology · 2025Pooled it
- Sex-associated differences in routine inflammatory markers and neuromuscular ultrasound measurements in amyotrophic lateral sclerosis: a retrospective cross-sectional study.Annals of medicine · 2026Article
- Cerebrospinal fluid inflammatory proteomic profiling identifies biomarkers linked to disease progression in amyotrophic lateral sclerosis.Journal of neurology · 2026Article
- Appendicular Skeletal Muscle Mass and Sarcopenia as Prognostic Markers in Amyotrophic Lateral Sclerosis.Journal of cachexia, sarcopenia and muscle · 2026Article
- The role of adiponectin and cytokines in Amyotrophic lateral sclerosis: assessment of disease progression and survival status.Scientific reports · 2026Article
- Association between the monocyte-to-lymphocyte ratio and 28-day all-cause mortality in sepsis-associated delirium patients: a retrospective study and machine learning.BMC infectious diseases · 2026Article
- The difference between cystatin C- and creatinine-based estimated glomerular filtration rate and survival in amyotrophic lateral sclerosis: a population-based cohort study.Neurodegenerative disease management · 2026Article
- Impact of combined skeletal muscle index, subcutaneous fat index, and visceral fat index on prognosis in non-metastatic non-small cell lung cancer.BMC pulmonary medicine · 2026Observational
- Tracing neuroinflammation in neurodegeneration: insights from a scoping review on biofluid biomarkers.Brain communications · 2026Review
- Increased serum fibroblast growth factor 2 levels, altered peripheral blood inflammatory indicators and their ratios in amyotrophic lateral sclerosis: a clinical exploratory study.Frontiers in neurology · 2026Article
- Analysis and comparison of the trends in the burden of motor neuron disease in China and worldwide from 1990 to 2021.PloS one · 2026Article
- From complex algorithms to clinical practice: a multicenter machine learning model and simplified decision tree for predicting cachexia risk in gastric cancer.Frontiers in oncology · 2026Article
- Exposure to fine particulate matter constituents increases sarcopenia risk in middle-aged and elderly Chinese adults.BMC public health · 2025Article
- Evaluation of the utility of different laboratory test-related sarcopenia indices as predictors of lung cancer mortality.BMC geriatrics · 2025Article
- Survival Prediction in Brain Metastasis Patients Treated with Stereotactic Radiosurgery: A Hybrid Machine Learning Approach.Brain sciences · 2025Article
- Association of systemic inflammatory factors with clinical outcomes in patients with autoimmune encephalitis at different clinical stages.Frontiers in immunology · 2025Article
- The association between aggregate index of systemic inflammation and DXA-measured body composition parameters in adolescents.Frontiers in physiology · 2025Article
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9 authors.
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Abstract
backgroundNutritional status, systemic inflammatory responses and muscle mass are associated with the prognosis of patients with amyotrophic lateral sclerosis (ALS). However, the optimal biomarker for predicting prognosis remains unclear. This study aimed to identify the optimal indicators of survival among the nutrition-based, inflammation-based and muscle mass-related markers for ALS patients.
methodsWe enrolled ALS patients from January 2014 to December 2019. Experienced neurologists followed up with the participants until January 2022. This study included a total of 17 nutritional, systemic inflammatory or muscle mass-related indicators. Maximally selected rank statistics determined the cut-off points for these indicators. Kaplan-Meier estimation was used to assess survival. Uni- and multivariate Cox proportional hazards models were used to determine the effects of indicators on survival. Finally, time-dependent receiver operating characteristic (time-ROC) curves and the C-index were calculated to evaluate the predictive efficacy of different indicators.
resultsA total of 506 patients with ALS were enrolled in this study, including 288 males (56.9%) and 218 females (43.1%), with a mean age of 54.2 ± 10.5 years. Among these ALS patients, 334 cases (68.0%) either died or underwent tracheotomy. In univariate Cox proportional hazards regression, 11 indicators were significantly associated with ALS survival (p < 0.05). And systemic immune inflammation (SII), platelet-to-lymphocyte ratio (PLR), modified geriatric nutritional risk index (mGNRI), creatinine and sarcopenia index (SI, (creatinine/cystatin C) × 100) were determined as independent predictors (p < 0.05) in multivariate Cox proportional hazards regression. A higher SI predicted longer survival (hazard ratio, 0.59; 95% confidence interval [CI], 0.46-0.76; p < 0.001). The results of time-ROC and C-index analyses indicated that SI had the best predictive efficacy for ALS survival, with a C-index of 0.65 (95% CI, 0.54-0.75) for 1-year, 0.61 (95% CI, 0.57-0.65) for 3-year and 0.59 (95% CI, 0.55-0.62) for 5-year survival. Across different subgroups, SI had the highest C-index in men and women, limb onset and aged < 60 year ALS patients, compared with other indicators. However, cystatin C was the best indicator for predicting the survival of ALS patients with bulbar onset, whereas the prognostic nutritional index (PNI) was the best for those aged ≥60 years.
conclusionsThe serum SI demonstrates superior prognostic ability compared to other inflammation-based, nutrition-based and muscle mass-related indicators for patients with ALS. Given its simplicity and availability, it is well suited for clinical use in evaluating the prognosis of ALS patients.
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