| Title: | Association between CALLY index and all-cause mortality in patients with rheumatoid arthritis |
| Journal: | Frontiers in Nutrition |
| Published: | 16 Jun 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42382568/ |
| DOI: | https://doi.org/10.3389/fnut.2026.1829076 |
| URL: | https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2026.1829076/pdf |
Publication 20724
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Purpose: The CALLY index reflects immune, inflammatory, and nutritional status, but its prognostic role in rheumatoid arthritis (RA) remains uncertain. We investigated whether the CALLY index was independently associated with all-cause mortality in patients with RA, and further examined its nonlinear pattern, and consistency across clinical subgroups.</p>
Methods: We included 5,626 participants with RA from the UK Biobank, with a median follow-up of 15.6 years. Multivariable Cox regression models were used to assess the association between the CALLY index and all-cause mortality. Restricted cubic splines were used to explore potential nonlinearity. Predictive performance was evaluated using time-dependent ROC analysis, IDI, and NRI. Subgroup and sensitivity analyses were performed to test the robustness of the findings.</p>
Results: A higher CALLY index was independently associated with a lower risk of all-cause mortality in RA patients. This association showed a nonlinear inverse dose-response pattern, with an estimated inflection point of 1.054. The CALLY index showed better reclassification than its individual components and achieved non-inferior predictive performance compared with the combined three-biomarker model. The association was broadly consistent in clinical subgroups and stable in sensitivity analyses.</p>
Conclusion: The CALLY index may serve as a simple, low-cost biomarker for long-term mortality risk stratification in patients with RA.</p>
2 Authors
- Tong Zhang
- Liang V. Tang
1 Application
| Application ID | Title |
|---|---|
| 982980 | Leveraging the UK Biobank Cohort to Redefine Penetrance and Phenotypic Spectra of Hemophagocytic Lymphohistiocytosis-Associated Genes |
Enabling scientific discoveries that improve human health