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Analysis of the correlation between the Systemic Inflammatory Response Index and the severity of coronary
Ting He1, Yinhua Luo2, Jingjing Wan2
1Department of Central Hospital of Tujia and Miao Autonomous Prefecture, Hubei University of Medicine, Shiyan, Hubei Province, China.
Insights
Systemic Inflammatory Response Index (SIRI) correlates with coronary artery stenosis severity in coronary heart disease (CHD) patients. Higher SIRI levels predict more severe stenosis, making it a valuable early screening marker.
Area of Science:
- Cardiology
- Biomarkers
- Inflammation
Background:
- Coronary heart disease (CHD) poses a significant global health burden.
- Assessing the severity of coronary artery stenosis is crucial for patient management.
- Novel biomarkers for early detection and risk stratification are needed.
Purpose of the Study:
- To investigate the correlation between the Systemic Inflammatory Response Index (SIRI) and coronary artery stenosis severity in CHD patients.
- To evaluate the predictive value of SIRI for coronary artery stenosis severity.
- To compare SIRI's predictive ability with other inflammatory markers.
Main Methods:
- A cohort of 2990 patients undergoing coronary angiography was analyzed.
- Gensini score was used to quantify coronary artery stenosis severity.
- Receiver operating characteristic (ROC) curves and multivariate logistic regression were employed to assess predictive value.
Main Results:
- Higher SIRI levels were significantly associated with increased likelihood and severity of coronary artery disease (P < 0.001).
- The highest SIRI quartile showed a 2.25-fold increased risk of coronary artery disease (P < 0.001).
- SIRI demonstrated superior predictive ability for stenosis extent compared to PLR, MLR, and NLR (P < 0.001).
Conclusions:
- SIRI is a strong, independent predictor of coronary artery stenosis severity in CHD patients.
- SIRI serves as an effective early screening marker for assessing coronary artery stenosis.
- Inflammation, as indicated by SIRI, plays a significant role in the pathophysiology 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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