Research Article

Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease

Volume: 51 Number: 4 December 27, 2024
EN

Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease

Abstract

Background: Atherosclerosis has a significant place in the pathophysiology of coronary artery disease. In clinical practice, complete blood count is considered as a routine laboratory technique that can be easily applied. Systemic immune inflammatory index (SII), which can be easily calculated with this laboratory method, can be used to evaluate the balance of inflammation, considering the multifaceted effects of atherosclerosis. Aim: In our investigation, we purposed to determine the relationship between the intensity of inflammation, which we calculated with whole blood using this biomarker in 166 patients, and the intensity of coronary artery disease, which was evaluated with coronary angiography. Method: 166 patients who underwent coronary angiography because of acute coronary syndrome were included in our investigation. SYNTAX scores of the patients were calculated using the application on the website (http://www.SYNTAXcore.com.) SYNTAX scores are divided into 3 groups: 0-22, low; 23-32, medium; 33 and above, high. In our study, we divided the SYNTAX score into two groups: 0-22 was defined as low, 23 and above as medium-high. We examined the relationship between the SII and the low and medium-high groups. Findings: In patients consulting with acute coronary syndrome, a statistically significant positive result was found between the coronary artery disease assessed with Systemic immune inflammatory index (SII) and SYNTAX (Synergy Between PCI With TAXUS and Cardiac Surgery) score. (p=0.022) Conclusion: SII calculation is a practical method and can provide the clinicians with important clues about the prevalence of acute coronary syndrome in terms of treatment management; however, more in-depth, well-designed studies are required for SII.

Keywords

References

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Details

Primary Language

English

Subjects

Medical Education, Health Services and Systems (Other)

Journal Section

Research Article

Authors

Adem Aktan
Türkiye

Publication Date

December 27, 2024

Submission Date

October 10, 2024

Acceptance Date

December 17, 2024

Published in Issue

Year 2024 Volume: 51 Number: 4

APA
Kaya, A. F., Kılıç, R., & Aktan, A. (2024). Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease. Dicle Medical Journal, 51(4), 531-538. https://doi.org/10.5798/dicletip.1608105
AMA
1.Kaya AF, Kılıç R, Aktan A. Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease. Dicle Medical Journal. 2024;51(4):531-538. doi:10.5798/dicletip.1608105
Chicago
Kaya, Ahmet Ferhat, Raif Kılıç, and Adem Aktan. 2024. “Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease”. Dicle Medical Journal 51 (4): 531-38. https://doi.org/10.5798/dicletip.1608105.
EndNote
Kaya AF, Kılıç R, Aktan A (December 1, 2024) Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease. Dicle Medical Journal 51 4 531–538.
IEEE
[1]A. F. Kaya, R. Kılıç, and A. Aktan, “Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease”, Dicle Medical Journal, vol. 51, no. 4, pp. 531–538, Dec. 2024, doi: 10.5798/dicletip.1608105.
ISNAD
Kaya, Ahmet Ferhat - Kılıç, Raif - Aktan, Adem. “Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease”. Dicle Medical Journal 51/4 (December 1, 2024): 531-538. https://doi.org/10.5798/dicletip.1608105.
JAMA
1.Kaya AF, Kılıç R, Aktan A. Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease. Dicle Medical Journal. 2024;51:531–538.
MLA
Kaya, Ahmet Ferhat, et al. “Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease”. Dicle Medical Journal, vol. 51, no. 4, Dec. 2024, pp. 531-8, doi:10.5798/dicletip.1608105.
Vancouver
1.Ahmet Ferhat Kaya, Raif Kılıç, Adem Aktan. Systemic Immuno-Inflammation Index May Predict the Burden of Coronary Artery Disease. Dicle Medical Journal. 2024 Dec. 1;51(4):531-8. doi:10.5798/dicletip.1608105