Geriatric nutrition risk index: a more powerful index identifying muscle mass loss in patients with rheumatoid arthritis
- PMID: 38433147
- DOI: 10.1007/s10067-024-06918-3
Geriatric nutrition risk index: a more powerful index identifying muscle mass loss in patients with rheumatoid arthritis
Abstract
Objective: To 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.
Methods: This 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.
Results: There 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.
Conclusion: GNRI, 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.
Keywords: Geriatric nutrition risk index; Muscle mass loss; Myopenia; Rheumatoid arthritis.
© 2024. The Author(s), under exclusive licence to International League of Associations for Rheumatology (ILAR).
References
-
- Gravallese EM, Firestein GS (2023) Rheumatoid Arthritis - Common Origins Divergent Mechanisms. N Engl J Med 388(6):529–542. https://doi.org/10.1056/NEJMra2103726 - DOI - PubMed
-
- Tański W, Wójciga J, Jankowska-Polańska B (2021) Association between Malnutrition and Quality of Life in Elderly Patients with Rheumatoid Arthritis. Nutrients 13(4):1259. https://doi.org/10.3390/nu13041259 - DOI - PubMed - PMC
-
- Tian P, Xiong J, Wu W, Shi S, Chen A, Chen K, Chen W, Wu A, Liao Y (2023) Impact of the malnutrition on mortality in Rheumatoid arthritis patients: A cohort study from NHANES 1999–2014. Front Nutr 4(9):993061. https://doi.org/10.3389/fnut.2022.993061 - DOI
-
- Rall LC, Roubenoff R (2004) Rheumatoid cachexia: metabolic abnormalities, mechanisms and interventions. Rheumatology (Oxford) 43(10):1219–1223. https://doi.org/10.1093/rheumatology/keh321 - DOI - PubMed
-
- Jutley GS, Sahota K, Sahbudin I, Filer A, Arayssi T, Young SP, Raza K (2021) Relationship Between Inflammation and Metabolism in Patients With Newly Presenting Rheumatoid Arthritis. Front Immunol 28(12):676105. https://doi.org/10.3389/fimmu.2021.676105 - DOI
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- 2022YFC2504600/The Chinese National Key Technology R&D Program, Ministry of Science and Technology
- 2022YFC2504601/The Chinese National Key Technology R&D Program, Ministry of Science and Technology
- 82171780/National Natural Science Foundation of China
- 81971527/National Natural Science Foundation of China
- 82101892/National Natural Science Foundation of China
- 2022A1515010524/Guangdong Basic and Applied Basic Research Foundation
- 2023A1515030253/Guangdong Basic and Applied Basic Research Foundation
- 2020A1515110061/Guangdong Basic and Applied Basic Research Foundation
- A2021065/Guangdong Medical Scientific Research Foundation
- 2023A03J0709/Guangzhou Municipal Science and Technology Project
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