IMR Press / RCM / Volume 25 / Issue 4 / DOI: 10.31083/j.rcm2504130
Open Access Original Research
Systemic Immune-Inflammation Index and Its Association with the Prevalence of Stroke in the United States Population: A Cross-Sectional Study Using the NHANES Database
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1 Department of Cardiology Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, 100006 Beijing, China
*Correspondence: (Wei Wu)
Rev. Cardiovasc. Med. 2024, 25(4), 130;
Submitted: 20 September 2023 | Revised: 15 December 2023 | Accepted: 20 December 2023 | Published: 2 April 2024
Copyright: © 2024 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.

Background: The purpose of this study was to evaluate the ability of the systemic immune-inflammation index (SII) to predict the prevalence of stroke in the American population. Methods: A cross-sectional research study of 53,600 people was carried out utilizing information from the U.S. National Health and Nutrition Examination Survey (NHANES) database. Participants were divided into three groups based on the tertiles of their SII levels: SII-low, SII-median, and SII-high. Logistic regression analysis was used to investigate SII and the prevalence of stroke. Subgroup analyses, sensitivity analyses, and restricted cubic spline (RCS) analysis were also carried out. Results: A total of 2368 patients with stroke were found among the participants in this cross-sectional study. The high SII group had a substantially greater prevalence of stroke compared to the low SII group (odds ratio [OR] = 1.18, 95% confidence interval [CI] 1.01, 1.42). The risk of stroke decreased by 34% for every unit rise in log-transformed SII (OR 1.30, 95% CI 0.99, 1.70). A positive linear connection between SII levels and the prevalence of stroke was revealed using RCS analysis (p for non-linearity = 0.387). Conclusions: This cross-sectional study utilizing large-scale data from NHANES provides the first evidence of a significant association between higher SII levels and increased prevalence of stroke. These findings highlight the relevance of SII as a potential predictive marker for stroke.

2022-PUMCH-B-098/National Nigh Level Hospital Clinical Research Funding
2021-I2M-1-003/Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences
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