ArticleScientific reports2025
Association between the systemic immunity-inflammation index and stroke: a population-based study from NHANES (2015-2020).
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Association of systemic immune-inflammatory index with stress urinary incontinence in U.S. Adults: NHANES 2007-2016.PloS one · 2026Article
- The inflammation-fibrosis combined index as a predictor of prognosis in stroke patients undergoing mechanical thrombectomy.Frontiers in aging neuroscience · 2026Article
- Nonlinear association between systemic immune-inflammation index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease and atrial fibrillation: a cross-sectional study.Journal of thoracic disease · 2025Article
- Associations between naples prognostic score and stroke and mortality among older adults.European journal of medical research · 2025Article
- The Naples prognostic score as a nutritional and inflammatory biomarkers of stroke prevalence and all-cause mortality: insights from NHANES.Journal of health, population, and nutrition · 2025Article
- Pan-Immune-Inflammation Value Predicts 3-Month Functional Outcomes in Patients With Acute Ischemic Stroke Treated With Mechanical Thrombectomy.Brain and behavior · 2025Article
- The association between serum klotho protein and stroke: a cross-sectional study from NHANES 2007-2016.Frontiers in neurology · 2025Article
- Impact of low-grade inflammation on neurological outcomes in patients with acute pontine infarction: a retrospective cohort study.Frontiers in immunology · 2025Article
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Abstract
Background The systemic immunity-inflammation index(SII) is a new indicator of composite inflammatory response. Inflammatory response is an important pathological process in stroke. Therefore, this study sought to investigate the association between SII and stroke. Methods We collected data on participants with SII and stroke from the 2015-2020 cycle of National Health and Nutrition Examination Survey (NHANES) for the cross-sectional investigation. Multivariate linear regression models were used to test the association between SII and stroke. Fitted smoothing curves and threshold effect analysis were applied to describe the nonlinear relationship. Results A total of 13,287 participants were included in our study, including 611 (4.598%) participants with stroke. In a multivariate linear regression analysis, we found a significant positive association between SII and stroke, and the odds ratio (OR) [95% CI] of SII associating with prevalence of stroke was [1.02 (1.01, 1.04)] (P < 0.01). In subgroup analysis and interaction experiments, we found that this positive relationship was not significantly correlated among different population settings such as age, gender, race, education level, smoking status, high blood pressure, diabetes and coronary heart disease (P for trend > 0.05). Moreover, we found an nonlinear relationship between SII and stroke with an inflection point of 740 (1,000 cells /µl) by using a two-segment linear regression model. Conclusions This study implies that increased SII levels are linked to stroke. To confirm our findings, more large-scale prospective investigations are needed.
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