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Predictive value of systemic inflammatory response index (SIRI) for complex coronary artery disease occurrence in
Tomasz Urbanowicz1, Michał Michalak2, Anna Komosa3
1Cardiac Surgery and Transplantology Department, Poznan University of Medical Sciences, Poznan, Poland. tomasz.urbanowicz@skpp.edu.pl.
Insights
The systemic inflammatory response index (SIRI), a simple blood test, can help predict coronary artery disease (CAD) in patients with angina symptoms. A SIRI above 1.22 indicates a higher likelihood of significant coronary artery disease.
Area of Science:
- Cardiology
- Hematology
- Inflammation Research
Background:
- Atherosclerotic cardiovascular disease is a leading global cause of mortality.
- Inflammatory processes are key drivers in the development and progression of coronary plaques.
- Hematological indexes, such as the Systemic Inflammatory Response Index (SIRI), offer potential markers for inflammation.
Purpose of the Study:
- To evaluate the predictive role of the Systemic Inflammatory Response Index (SIRI) in the occurrence of coronary artery disease (CAD).
- To assess the utility of SIRI as a diagnostic marker in patients presenting with angina-equivalent symptoms.
Main Methods:
- A retrospective analysis of 256 patients (174 men, 82 women) with angina-equivalent symptoms.
- Development of a predictive model for CAD using demographic data and blood cell parameters.
- Logistic regression multivariable analysis to identify significant predictors.
Main Results:
- Male gender, age, body mass index, and smoking were significant demographic predictors of CAD.
- The Systemic Inflammatory Response Index (SIRI) and red blood cell distribution width (RDW) emerged as significant laboratory predictors.
- SIRI demonstrated a significant odds ratio (OR: 5.52) for predicting CAD.
Conclusions:
- The Systemic Inflammatory Response Index (SIRI) is a valuable hematological index for diagnosing CAD in patients with angina-equivalent symptoms.
- A SIRI threshold of 1.22 was associated with a higher probability of single and complex coronary artery disease (AUC: 0.725, p < 0.001).
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.
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