ArticleFrontiers in cardiovascular medicine2026
Comparative value of novel inflammatory indices in predicting incident carotid atherosclerosis: SIRI outperforms other markers in a general population.
Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Systemic inflammatory indices SIRI, AISI, and PWR are associated with sarcopenic obesity in middle-aged and older chinese adults: a cross-sectional study.Nutrition & metabolism · 2026Article
- Type 2 diabetes mellitus and incident carotid atherosclerosis: a retrospective cohort study on composite indices.Frontiers in endocrinology · 2026Article
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9 authors.
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Abstract
Background: Systemic inflammation is a core driver of carotid atherosclerosis (CAS). Although various inflammatory indices derived from routine blood tests have been associated with prevalent CAS, most existing evidence is limited to cross-sectional designs, and a systematic head-to-head comparison of their predictive value is lacking. This study aimed to bridge this gap by evaluating the associations of six composite inflammatory indices with the risk of incident CAS to identify the optimal predictive marker. Methods: We conducted a prospective cohort study comprising 12,289 participants free of CAS at baseline from a health screening center in Beijing. Six inflammatory indices-Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), Aggregate Index of Systemic Inflammation (AISI), and Neutrophil Percentage-to-Albumin Ratio (NPAR)-were calculated based on baseline data. Cox proportional hazards models, restricted cubic splines, and Random Survival Forest (RSF) models were utilized to assess associations and predictive performance. Mediation analysis was performed to investigate the role of Body Mass Index (BMI). Results: During follow-up, 2,432 (19.8%) participants developed CAS. After multivariable adjustment, all six inflammatory indices were independently associated with an increased risk of CAS. Among them, SIRI demonstrated the most robust predictive value; participants in the highest quartile of SIRI had a 46% higher risk compared to those in the lowest quartile (Hazard Ratio [HR] = 1.46, 95% Confidence Interval [CI]: 1.30-1.64, Conclusion: Our findings identify SIRI as a robust and independent predictor of CAS development, outperforming other common inflammatory indices. As a readily available and cost-effective biomarker, SIRI offers significant potential for enhancing early risk stratification for subclinical atherosclerosis in clinical practice.
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