Association between systemic inflammation indices and carotid plaques in acute coronary syndrome

Mengmeng Ren1, Yiming Wang1, Lin Zhong1

  • 1Department of Cardiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China.

Insights

Systemic inflammation indices like monocyte-to-lymphocyte ratio (MLR), systemic inflammatory response index (SIRI), and aggregate index of systemic inflammation (AISI) are linked to carotid plaques in acute coronary syndrome (ACS) patients. These markers may help identify individuals at higher risk for ischemic stroke.

Area of Science:

  • Cardiology
  • Immunology
  • Neurology

Background:

  • Ischemic stroke is a major global cause of death and disability.
  • Identifying high-risk patients with carotid atherosclerosis is crucial for prevention.
  • Acute coronary syndrome (ACS) involves systemic atherosclerosis where inflammation drives plaque instability.

Purpose of the Study:

  • To investigate the association between blood cell-derived systemic inflammation indices and carotid plaque burden in ACS patients.
  • To determine if specific inflammation markers can predict the presence of carotid atherosclerosis.

Main Methods:

  • Retrospective analysis of 7,178 ACS patients.
  • Carotid ultrasound to identify carotid plaques.
  • Calculation of systemic inflammation indices: NLR, MLR, NMLR, SIRI, SII, AISI, PLR.
  • Multivariable logistic regression and restricted cubic spline models used for analysis.

Main Results:

  • Patients with carotid plaques showed higher levels of NLR, MLR, NMLR, SIRI, SII, AISI, and PLR.
  • MLR, SIRI, and AISI demonstrated significant non-linear associations with carotid plaques.
  • Higher quartiles of MLR, SIRI, and AISI were associated with increased odds of carotid plaques.
  • Associations were more pronounced in women and non-diabetic patients.

Conclusions:

  • MLR, SIRI, and AISI are independently associated with carotid plaques in ACS patients.
  • These indices may serve as potential biomarkers for ischemic stroke risk stratification.
  • The findings are particularly relevant for women and non-diabetic individuals with ACS.
Abstract

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