Can the systemic immune inflammation index (SII) and the systemic inflammation response index (SIRI) predict the severity of coronary artery disease?

Abstract

Aim: To examine the relationship between complete blood count metrics and the severity of coronary artery disease (CAD) in patients undergoing coronary angiography. Methods: Patients diagnosed with stable angina pectoris or acute coronary syndrome by coronary angiography between October 2018 and February 2019 were included in the study. Based on their angiography results, patients were divided into two groups: one with severe CAD (n=258) and one with non-severe CAD (n=219). The initial clinical characteristics, along with data from laboratory tests and complete blood counts, were recorded and compared between the two groups. Results: The Wight Blood Cell (WBC) count, Neutrophil (NEU) count, Monocyte/Lymphocyte Ratio (MLR), Neutrophil/Lymphocyte Ratio (NLR), Monocyte/High-Density Lipoprotein Cholesterol Ratio (MHR), systemic immune inflammation index (SII) and systemic inflammation response index (SIRI) were each significantly higher in the group with severe CAD than in the group without severe CAD. The analysis utilized logistic regression, factoring in recognized CAD risk factors such as age, gender, diabetes mellitus (DM), hypertension (HT), hyperlipidemia (HL), and smoking, identified NLR, MHR, MLR, SII, and SIRI as notable and independent indicators of severe CAD. Conclusion: Our study showed that since it was an independent predictor of CAD, SII and SIRI could be utilized as a novel indicator for assessing the severity of CAD.

Keywords

• complete blood count
• coronary artery disease
• inflammation
• systemic immune inflammation index
• systemic inflammation response index