Background: Currently, atherosclerotic cardiovascular disease is the major cause of mortality world-wide. Inflammatory processes are postulated to be a major driving force for coronary plaque initiation and progression and can be evaluated by simple inflammatory markers from whole blood count analysis. Among hematological indexes, systemic inflammatory response index (SIRI) is defined as a quotient of neutrophils and monocytes, divided by lymphocyte count. The aim of the present retrospective analysis was to present the predictive role of SIRI for coronary artery disease (CAD) occurrence.
Methods: There were 256 patients (174 [68%] men and 82 [32%] women) in the median (Q1-Q3) age of 67 (58-72) years enrolled into retrospective analysis due to angina pectoris equivalent symptoms. A model for predicting CAD was created based on demographic data and blood cell parameters reflecting an inflammatory response.
Results: In patients with single/complex coronary disease the logistic regression multivariable analysis revealed predictive value of male gender (odds ratio [OR]: 3.98, 95% confidence interval [CI]: 1.38-11.42, p = 0.010), age (OR: 5.57, 95% CI: 0.83-0.98, p = 0.001), body mass index (OR: 0.89, 95% CI: 0.81-0.98, p = 0.012), and smoking (OR: 3.66, 95% CI: 1.71-18.22, p = 0.004). Among laboratory parameters, SIRI (OR: 5.52, 95% CI: 1.89-16.15, p = 0.029) and red blood cell distribution width (OR: 3.66, 95% CI: 1.67-8.04, p = 0.001) were found significant.
Conclusions: Systemic inflammatory response index, a simple hematological index, may be helpful in patients with angina equivalent symptoms to diagnose CAD. Patients presenting with SIRI above 1.22 (area under the curve: 0.725, p < 0.001) have a higher probability of single and complex coronary disease.
Keywords: angiography; coronary artery disease; systemic inflammatory response index (SIRI).