ArticleClinical rheumatology2024
Geriatric nutrition risk index: a more powerful index identifying muscle mass loss in patients with rheumatoid arthritis.
Article in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- MELD 3.0 Score and Time to Discharge After Pericardiectomy: A Competing Risks Analysis in Tuberculous Constrictive Pericarditis.Journal of clinical medicine · 2026Article
- Prevalence of sarcopenia in patients with rheumatoid arthritis: a cross-sectional study.RMD open · 2026Article
- Article
- Geriatric nutritional risk index and mortality risk in elderly patients with rheumatoid arthritis: evidence from NHANES (1999-2018).Clinical rheumatology · 2026Article
- Preoperative geriatric nutritional risk index is a reliable tool for predicting postoperative adjacent segment disease among elderly patients with degenerative lumbar diseases: a case control study.BMC musculoskeletal disorders · 2026Article
- Predictive role of the geriatric nutritional risk index in all-cause and cardiovascular mortality among elderly patients with osteoarthritis.BMC geriatrics · 2025Article
- [Clinical characteristics of overlapping syndromes of low muscle mass in patients with rheumatoid arthritis and their impact on physical function].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024Article
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Authors and funding
19 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveTo explore the association of geriatric nutrition risk index (GNRI), a traditional albumin-body weight calculation, with myopenia in patients with rheumatoid arthritis (RA) and compare its ability to identify myopenia with protein indicators.
methodsThis cross-sectional study was carried out based on a Chinese RA cohort. Clinical data and protein indicators (including albumin, globulin, albumin to globulin ratio, prealbumin, hemoglobin) were collected. GNRI was estimated by serum albumin and body weight. Myopenia was indicated as muscle mass loss measured by bioelectric impedance analysis.
resultsThere were 789 RA patients included with mean age 52.6 ± 12.6 years and 77.6% female. There were 41.3%, 18.0%, 27.5%, 13.2% patients with no (GNRI > 98), low (GNRI 92 to ≤ 98), moderate (GNRI 82 to < 92), and major nutrition-related risk (GNRI < 82). There were 406 (51.5%) RA patients with myopenia, RA patients with major nutrition-related risk had the highest prevalence of myopenia (87.5% vs. 73.3% vs. 50.0% vs. 26.1%). Multivariate logistic analysis showed that compared with no risk, RA patients with low (OR = 3.23, 95% CI: 1.86-5.61), moderate (OR = 9.56, 95% CI: 5.70-16.01), and major nutrition-related risk (OR = 28.91, 95% CI: 13.54-61.71) were associated with higher prevalence of myopenia. Receiver operating characteristic curves showed that GNRI (AUC = 0.79) performed a better identifiable ability toward myopenia than serum albumin (AUC = 0.66) or others indicators (AUC range 0.59 to 0.65), respectively.
conclusionGNRI, an objective and convenient albumin-weight index, may be preferable for identifying myopenia in RA patients. Key Points • We firstly elucidated the association of GNRI with muscle mass loss among RA patients, and compared its ability to identify muscle mass loss with serum albumin or other protein indicators. • Major nutrition-related risk identified by GNRI showed the highest risk of muscle mass loss, GNRI demonstrated a greater ability to identify myopenia in RA patients. which indicated GNRI was an objective and convenient albumin-weight index to identify myopenia in RA patients.
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