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ORIGINAL RESEARCH article

Front. Cardiovasc. Med.
Sec. Cardiovascular Epidemiology and Prevention
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1361088

Associations Between SII, SIRI, and cardiovascular disease in Obese Individuals: A Nationwide Cross-Sectional Analysis

Provisionally accepted
Zhou Liu Zhou Liu Longxuan Zheng Longxuan Zheng *
  • Affiliated Hospital of Yangzhou University, Yangzhou, China

The final, formatted version of the article will be published soon.

    Background: Systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are comprehensive markers of inflammatory status. However, the correlation between SII and SIRI and the prevalence of cardiovascular disease (CVD) in populations with obesity remains unknown.Methods: This is a cross-sectional study with data obtained from the National Health and Nutrition Examination Survey from 1999 to 2018. SII and SIRI were calculated using the following equations: SII = (platelet count × neutrophil count)/lymphocyte count. SIRI = (neutrophil count × monocyte count)/lymphocyte count. Spearman's rank correlation coefficient was used to assess the relationship between SII and SIRI and baseline variables. Logistic regression models and generalized additive model (GAM) with a spline smoothing function were used to evaluate the association between SIRI and CVD prevalence. Nomogram and receiver operating characteristic curve (ROC) analysis were used to assess the value of the risk prediction model.A total of 17,261 participants with obesity and SII and SIRI publicly available data were used for this study.Multivariate logistic regression analysis revealed that SIRI, rather than SII, was an independent risk factor for CVD prevalence. For every standard deviation increase in SIRI, there was a 13%, 15%, and 28% increase in the odds ratios of CVD prevalence (OR = 1.13, 95% CI: 1.04-1.22, P = 0.01), coronary heart disease (OR = 1.15, 95% CI: 1.05-1.26, P = 0.002), and congestive heart failure (OR = 1.28, 95% CI: 1.16-1.41, P <0.001). ROC results demonstrated that SIRI had a certain accuracy in predicting CVD prevalence (AUC = 0.604), especially when combined with other variables used in the nomogram (AUC = 0.828). The smooth curve fitting regression analysis demonstrated a significant linear association between the risk of SIRI and the odds ratio of CVD prevalence (P for nonlinear = 0.275).Conclusions: SIRI is a relatively stable indicator of inflammation and is independently associated with the prevalence of CVD. It may serve as a novel inflammatory indicator to estimate CVD prevalence in populations with obesity.

    Keywords: systemic immune-inflammation index, systemic inflammation response index, Cardiovascular Diseases, Inflammation, Obesity, Prevalence

    Received: 24 Dec 2023; Accepted: 30 Jul 2024.

    Copyright: © 2024 Liu and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Longxuan Zheng, Affiliated Hospital of Yangzhou University, Yangzhou, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.