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Prognosis impact of multiple novel lymphocyte-based inflammatory indices in patients with initially diagnosed

Yi Gao1, Geng Bai1, Yuqing Li1

  • 1Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin, China.

Immunity, Inflammation and Disease
|September 27, 2024
PubMed

Insights

The novel Systemic Immune Inflammation Response Index (SIIRI) is a strong predictor of major adverse cardiovascular events (MACEs) in patients with coronary artery disease (CAD). Combining SIIRI with traditional risk factors improves MACE prediction accuracy.

Area of Science:

  • Cardiology
  • Inflammation Research
  • Biomarker Discovery

Background:

  • Coronary artery disease (CAD) poses a significant global health burden.
  • Novel inflammatory markers are being investigated for their prognostic value in CAD.
  • Lymphocyte-based inflammatory markers offer potential insights into CAD pathogenesis and progression.

Purpose of the Study:

  • To evaluate six novel lymphocyte-based inflammatory markers for predicting major adverse cardiovascular events (MACEs) in newly diagnosed CAD patients.
  • To determine the independent predictive value of these markers, including the Systemic Immune Inflammation Response Index (SIIRI) and Platelet-Lymphocyte Ratio (PLR).
  • To assess the incremental predictive ability of these markers when added to traditional cardiovascular risk factors.

Main Methods:

  • A cohort of 959 patients with newly diagnosed CAD was enrolled.
  • Patients were followed for MACEs (cardiovascular death, myocardial infarction, stroke).
  • Cox regression analysis was used to evaluate the association between inflammatory markers and MACEs.

Main Results:

  • During follow-up, 23.9% of patients experienced MACEs.
  • The Systemic Immune Inflammation Response Index (SIIRI) and Platelet-Lymphocyte Ratio (PLR) were identified as independent predictors of MACEs.
  • SIIRI demonstrated superior predictive performance, significantly improving model discrimination and reclassification compared to traditional risk factors alone.

Conclusions:

  • SIIRI is an independent and superior predictor of MACEs in newly diagnosed CAD patients.
  • The integration of SIIRI with traditional risk factors enhances the accuracy of MACE prediction.
  • SIIRI represents a promising novel biomarker for risk stratification in CAD management.
Abstract

Keywords:
coronary artery diseasemajor adverse cardiovascular eventsnovel inflammatory markerspercutaneous coronary intervention

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