Xuefei Xia, Yongyong Lou, Yu Zhou, Haoming Ling, Tingting Ge
{"title":"Correlation analysis of systemic immune-inflammation index values and arthritis risk in adults.","authors":"Xuefei Xia, Yongyong Lou, Yu Zhou, Haoming Ling, Tingting Ge","doi":"10.1177/03000605251353037","DOIUrl":null,"url":null,"abstract":"<p><p>ObjectiveTo investigate the correlation between systemic immune-inflammation index (SII) values and the risk of arthritis among adult participants.MethodsCross-sectional data from adult participants (aged ≥18 years) in the National Health and Nutrition Examination Survey 2011-2018 dataset were utilized. The association between systemic immune-inflammation index values and arthritis risk was explored through multivariate regression and restricted cubic spline model-based analyses.ResultsAn analysis of categorical variables indicated that the risk of arthritis was significantly higher in the highest systemic immune-inflammation index quartile (Q4) compared with the lowest quartile (Q1; odds ratio = 1.36, 95% confidence interval = 1.23-1.51). Continuous variable and spline model analyses suggested that there was a significant and positive correlation between high systemic immune-inflammation index values and an increased risk of arthritis (odds ratio = 1.12, 95% confidence interval = 1.08-1.16, p < 0.001). A subgroup analysis revealed that this correlation was stronger in the older population than in the younger population (p interaction = 0.041). A sensitivity analysis suggested that the association between systemic immune-inflammation index values and arthritis risk was stable.ConclusionsOur research suggests a correlation between high systemic immune-inflammation index values and an increased risk of arthritis within the examined sample. Consequently, tracking systemic immune-inflammation index values could potentially facilitate the early detection of arthritis.</p>","PeriodicalId":16129,"journal":{"name":"Journal of International Medical Research","volume":"53 7","pages":"3000605251353037"},"PeriodicalIF":1.4000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12227922/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of International Medical Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/03000605251353037","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/4 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
ObjectiveTo investigate the correlation between systemic immune-inflammation index (SII) values and the risk of arthritis among adult participants.MethodsCross-sectional data from adult participants (aged ≥18 years) in the National Health and Nutrition Examination Survey 2011-2018 dataset were utilized. The association between systemic immune-inflammation index values and arthritis risk was explored through multivariate regression and restricted cubic spline model-based analyses.ResultsAn analysis of categorical variables indicated that the risk of arthritis was significantly higher in the highest systemic immune-inflammation index quartile (Q4) compared with the lowest quartile (Q1; odds ratio = 1.36, 95% confidence interval = 1.23-1.51). Continuous variable and spline model analyses suggested that there was a significant and positive correlation between high systemic immune-inflammation index values and an increased risk of arthritis (odds ratio = 1.12, 95% confidence interval = 1.08-1.16, p < 0.001). A subgroup analysis revealed that this correlation was stronger in the older population than in the younger population (p interaction = 0.041). A sensitivity analysis suggested that the association between systemic immune-inflammation index values and arthritis risk was stable.ConclusionsOur research suggests a correlation between high systemic immune-inflammation index values and an increased risk of arthritis within the examined sample. Consequently, tracking systemic immune-inflammation index values could potentially facilitate the early detection of arthritis.
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