Table · dataset · 2026
Table 3_Associations of systemic inflammatory indices with rheumatoid arthritis and all-cause mortality: a NHANES study with independent hospital-based replication.xlsx
Listed in figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.3389/fmed.2026.1968785.s007
Background<p>Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease associated with substantial morbidity and increased mortality.
Description
Although several composite inflammatory indices have been proposed as accessible biomarkers, their associations with RA and long-term prognosis remain incompletely understood.</p>Methods<p>We analyzed 15,545 adults from five NHANES cycles (2001–2010), including 1,075 participants with self-reported RA.
Survey-weighted multivariable logistic regression was used to assess associations between inflammatory indices and prevalent RA. Among participants with RA, survey-weighted Kaplan–Meier and Cox regression analyses were used to evaluate all-cause mortality. Restricted cubic spline analyses examined potential nonlinear associations.
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An independent retrospective hospital-based cohort was used to assess the directional consistency of key RA-related associations.</p>Results<p>Among 15,545 participants, 1,075 had self-reported RA. In the fully adjusted models, participants in the highest RAR quartile had greater odds of prevalent self-reported RA than those in the lowest quartile (OR, 1.86; 95% CI, 1.33–2.60), whereas higher CALLY was inversely associated with RA (Q4 vs. Q1: OR, 0.58; 95% CI, 0.43–0.78); both associations remained significant after FDR correction.
Among participants with self-reported RA, higher RAR was associated with a greater hazard of all-cause mortality (Q4 vs. Q1: HR, 2.48; 95% CI, 1.62–3.77), whereas higher CALLY was associated with a lower mortality hazard (Q4 vs. Q1: HR, 0.44; 95% CI, 0.31–0.61), with both associations remaining significant after FDR correction. Restricted cubic spline analyses suggested nonlinear associations for several inflammatory indices.
In the independent hospital-based cohort, several key RA-related inflammatory indices showed directionally consistent associations, supporting the reproducibility of the principal RA-related findings.</p>Conclusion<p>RAR and CALLY showed the most consistent associations with both prevalent RA and all-cause mortality. These accessible inflammatory indices may warrant further evaluation as markers of systemic inflammatory and nutritional status in RA, but prospective validation is needed before clinical application.</p>
Links
Where it is published
- DOI doi.org/10.3389/fmed.2026.1968785.s007 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
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Provenance · 4 source records, 42 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/34053990 | 4 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34053990 | 4 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34053990 | 4 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34053990 | 4 d ago | JSON v1 |
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| concepts[field].anzsrc:field:321501 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Foetal Development and Medicine'] |
| concepts[field].anzsrc:field:321501 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Foetal Development and Medicine'] |
| concepts[field].anzsrc:field:321501 | mapping · repository lboro ac uk | vocabulary-mapper@1.0.0 | keywords['Foetal Development and Medicine'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
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| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |