Isfahan University of Medical Sciences

Science Communicator Platform

Share By
Systemic Immune-Inflammation Index As a Novel Biomarker for Metabolic Syndrome: A Systematic Review and Meta-Analysis Publisher Pubmed

Summary: Can inflammation scores flag metabolic syndrome? A meta-analysis links higher SII to the condition, but diagnostic accuracy was modest and evidence uncertain. #MetabolicHealth #Biomarkers

Mahapatro A ; Jala S R A ; Ghodous S ; Rashidian P ; Mohanty E ; Mirchandani M ; Jeanty H ; Sahu S ; Amani Beni R ; Darouei B ; Jain S M ; Moghimnejadhosseini S ; Mojtahedzadeh A ; Hashemi S M Show All Authors
Authors
  1. Mahapatro A
  2. Jala S R A
  3. Ghodous S
  4. Rashidian P
  5. Mohanty E
  6. Mirchandani M
  7. Jeanty H
  8. Sahu S
  9. Amani Beni R
  10. Darouei B
  11. Jain S M
  12. Moghimnejadhosseini S
  13. Mojtahedzadeh A
  14. Hashemi S M
  15. Amini Salehi E

Source: Medicine (United States) Published:2026


Abstract

Background: – Metabolic syndrome (MetS) is a cluster of cardiometabolic risk factors that increases the likelihood of cardiovascular disease and type 2 diabetes mellitus. Given the increasing prevalence of MetS, early detection and risk assessment are crucial for mitigating long-term complications. The Systemic Immune-Inflammation Index (SII) has emerged as a potential biomarker for inflammatory conditions; however, its role in MetS remains unclear. This systematic review and meta-analysis aimed to evaluate the association between the SII and MetS. Methods: – A comprehensive search was conducted across PubMed, Scopus, Embase, and Web of Science databases until June 1, 2026. Eligible studies that assessed the relationship between SII and MetS were included. Data extraction was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, and study quality was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Results: – The meta-analysis revealed that individuals with MetS had significantly higher SII values as a continuous variable than non-MetS individuals (SMD, 0.34; 95% CI: 0.05–0.64; P = .01). As a categorical variable, an elevated SII was associated with increased odds of MetS (odds ratio = 1.34, 95% CI: 1.08–1.67, P < .01). The diagnostic accuracy of SII showed a pooled area under the receiver operating characteristic curve of 0.69 (95% CI: 0.41–0.98). The pooled sensitivity of the SII for identifying MetS was 0.69 (95% CI: 0.41–0.96), while the pooled specificity was 0.60 (95% CI: 0.55–0.65). Conclusion: – The SII score was significantly associated with MetS. However, its diagnostic accuracy was limited (pooled area under the receiver operating characteristic curve = 0.69, based on only 2 studies). The SII may serve as a supplementary marker or risk stratification tool, but more studies are needed to obtain a precise estimate of its diagnostic performance. The observed heterogeneity and very low Grading of Recommendations Assessment, Development and Evaluation evidence further underscore the need for future prospective research to establish standardized cutoff values and clarify its clinical role. Copyright © 2026 the Author(s). Published by Wolters Kluwer Health, LLC.
Other Related Docs
19. Low-Density Lipoprotein Cholesterol and Metabolic Syndrome in an Iranian High-Risk Population, Diabetes and Metabolic Syndrome: Clinical Research and Reviews (2015)