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Updated: Aug 14, 2026

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
10:03

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty

Published on: January 28, 2020

Predictive value of systemic inflammatory response index for coronary artery disease and angiographic severity: a

Yizhe Wang1,2,3, Jinxiang Huang1,2,3, Peng Zheng1,2,3

  • 1Department of Cardiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.

Frontiers in Cardiovascular Medicine
|August 13, 2026
PubMed

Insights

Systemic inflammatory response index (SIRI) is linked to coronary artery disease (CAD) severity in East Asians. A predictive model using SIRI, albumin, and LVEF shows moderate discrimination for CAD risk stratification.

Area of Science:

  • Cardiology
  • Biomarkers
  • Inflammation

Background:

  • Systemic inflammation is crucial in coronary artery disease (CAD).
  • The Systemic Inflammatory Response Index (SIRI), a composite biomarker, needs further study regarding its association with angiographic CAD severity, especially in East Asian populations.
  • This study investigates SIRI's relationship with CAD presence and severity in a Chinese cohort.

Purpose of the Study:

  • To explore the association between SIRI and the presence of angiographic coronary artery disease (CAD).
  • To evaluate the relationship between SIRI and the severity of angiographic CAD.
  • To develop and validate a predictive model for CAD risk stratification using SIRI in a southeastern Chinese cohort.

Main Methods:

  • Retrospective enrollment of adult inpatients undergoing coronary angiography in Wenzhou, China.
  • CAD defined as ≥50% stenosis in major epicardial coronary arteries.
  • Multivariable logistic regression and receiver-operating characteristic (ROC) curve analysis were used to identify predictors and evaluate a predictive model incorporating SIRI, albumin, and left ventricular ejection fraction (LVEF).

Main Results:

  • SIRI was significantly higher in patients with CAD and increased with CAD severity, particularly in myocardial infarction groups.
  • SIRI demonstrated the highest area under the curve (AUC) for CAD discrimination among evaluated inflammatory indices.
  • The albumin + LVEF + SIRI model showed moderate discrimination for angiographic CAD (AUC = 0.740) and improved upon the albumin + LVEF model.

Conclusions:

  • SIRI is independently associated with angiographic CAD presence and severity in the studied cohort.
  • A predictive model integrating SIRI, albumin, and LVEF offers moderate discrimination for CAD risk stratification.
  • This model serves as a preliminary, internally validated, hypothesis-generating tool for risk stratification.
Abstract

Keywords:
Gensini scorecoronary artery diseaseinflammationretrospective studyrisk predictionsystemic inflammatory response index

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