ArticleOsteoarthritis and cartilage open2025
Association between the immune-inflammation indicators and osteoarthritis - NHANES 1999-2018.
Article in Osteoarthritis and cartilage open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Inflammatory indicators derived from complete blood counts in relation to osteoarthritis prevalence: findings from the NHANES 2007-2020 cross-sectional survey.Experimental biology and medicine (Maywood, N.J.) · 2025Article
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Authors and funding
7 authors.
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Abstract
Background: Investigate the link between systemic immune-inflammatory index (SII) and Systemic Immune Response Index (SIRI) with osteoarthritis (OA) using National Health and Nutrition Examination Survey (NHANES) data (1999-2018). Methods: Extracted NHANES data (1999-2018) and selected a study population based on demographic, examination, and laboratory data. Calculated SII (platelet count × neutrophil count/lymphocyte count) and SIRI (neutrophil count × monocyte count/lymphocyte count). Employed multivariate logistic regression and restricted cubic spline (RCS) regression for Ln-SII, SIRI, and OA relationship investigation. Conducted subgroup analyses. Results: Study involved 32,144 participants (16,515 males, 15,629 females), with 12.16% having OA. Positive correlation between highest SII quartile and OA in unadjusted and adjusted model 1 (Unadjusted Model, P < 0.001; Model 1, P = 0.01). In Model 2, adjusting for all factors, positive correlation observed, not statistically significant (Model 2, P = 0.07). Similar SIRI-OA correlation trends from Unadjusted Model to Model 2 (Unadjusted Model, P < 0.0001; Model 1, P < 0.0001; Model 2, P < 0.001). Subgroup analysis found no significant factors. Identified critical point at ln-SII ≈6.39 (SII = 595.86), beyond which OA prevalence significantly increased. No potential nonlinear SIRI-OA association (NL-P value > 0.05). Conclusion: When SII exceeds 595.86, OA prevalence may rise. Besides, there was a significant positive correlation between SIRI and OA prevalence. SII and SIRI may be useful markers for OA research, warranting further exploration in this area.
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