Analysis of the correlation between the Systemic Inflammatory Response Index and the severity of coronary vasculopathy

Authors

  • Ting He Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, China
  • Yinhua Luo Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei Province, China; Institute of Myocardial Injury and Repair, Wuhan University, Wuhan, Hubei Province, China
  • Jingjing Wan Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei Province, China; Institute of Myocardial Injury and Repair, Wuhan University, Wuhan, Hubei Province, China
  • Ling Hou Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, China
  • Ke Su Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, China
  • Jinbo Zhao Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, China
  • Yuanhong Li Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, China

DOI:

https://doi.org/10.17305/bb.2024.10747

Keywords:

Systemic inflammatory response index, coronary heart disease, Gensini score, severity of coronary artery disease

Abstract

This study aims to analyze the correlation between Systemic Inflammatory Response Index (SIRI) and the severity of coronary artery stenosis in patients with coronary heart disease (CHD). It also aims to assess the predictive value of SIRI for the severity of coronary artery stenosis. A total of 2990 patients who underwent coronary angiography were included in this study. The Gensini score was used to estimate the severity of coronary vascular lesions. The predictive ability of SIRI for CHD was evaluated using receiver operating characteristic (ROC) curves. Binary multivariate logistic regression analysis was used to predict the likelihood of CHD based on the SIRI index. The results showed that people with higher SIRI were more likely to have CHD (P < 0.001). After controlling for other risk factors, the highest quartile had a significantly higher incidence of coronary artery disease compared to the lowest quartile (odds ratio [OR] 2.25, 95% confidence interval [CI] 1.73-3.92, P < 0.001). Furthermore, the Gensini score was significantly higher in the fourth quartile group (T4) compared to the first (T1) and second (T2) quartile groups (P < 0.001). Additionally, the SIRI was significantly higher in the group with severe coronary artery lesions compared to the mild and moderate groups (P < 0.001). The SIRI also showed a higher predictive ability for the extent of coronary lesions under the ROC curve compared to other commonly used markers, including platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and neutrophil-to-lymphocyte ratio (NLR) (P < 0.001). Therefore, SIRI positively correlates with coronary artery stenosis in CHD patients, serving as an effective early screening marker for assessing stenosis severity. 

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Author Biographies

  • Ting He, Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, China

    湖北医科大学,中国湖北省十堰市

  • Yinhua Luo, Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei Province, China; Institute of Myocardial Injury and Repair, Wuhan University, Wuhan, Hubei Province, China

    武汉大学中南医院心脏病科,中国湖北省武汉市

  • Jingjing Wan, Department of Cardiology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei Province, China; Institute of Myocardial Injury and Repair, Wuhan University, Wuhan, Hubei Province, China

    武汉大学心肌损伤与修复研究所,中国湖北省武汉市

  • Ling Hou, Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, China

    湖北医科大学,中国湖北省十堰市

  • Ke Su, Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, China

    湖北医科大学土家族苗族自治州中心医院心血管疾病中心,湖北省恩施市

  • Jinbo Zhao, Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, China

    湖北医科大学土家族苗族自治州中心医院心血管疾病中心,湖北省恩施市

  • Yuanhong Li, Cardiovascular Disease Center, Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Enshi, Hubei Province, China

    湖北医科大学土家族苗族自治州中心医院心血管疾病中心,湖北省恩施市

Analysis of the correlation between the Systemic Inflammatory Response Index and the severity of coronary vasculopathy

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Published

17-10-2024

How to Cite

1.
Analysis of the correlation between the Systemic Inflammatory Response Index and the severity of coronary vasculopathy. Biomol Biomed [Internet]. 2024 Oct. 17 [cited 2024 Dec. 11];24(6):1726–1734. Available from: https://bjbms.org/ojs/index.php/bjbms/article/view/10747