Predictive value of the systemic immune inflammatory index in cardiac syndrome x

dc.contributor.authorAkin, Yusuf
dc.contributor.authorKarasu, Mehdi
dc.contributor.authorDeniz, Abdulmelik
dc.contributor.authorMirzaoglu, Cetin
dc.contributor.authorBolayir, Hasan Ata
dc.date.accessioned2026-08-12T17:38:02Z
dc.date.issued2023
dc.departmentFırat Üniversitesi
dc.description.abstractIntroductionPatients with normal coronary arteries in whom increased vasospasm cannot be detected with the stress test should be evaluated in terms of cardiac syndrome x (CSX). Inflammatory systems are effective in endothelial activation and dysfunction in CSX. The systemic immune inflammation index (SII) is thought to be an important factor in determining the course of diseases, especially in infectious diseases or other diseases, as an indicator of the inflammation process. The aim of this study is to determine the role of SII levels in the diagnosis of CSX disease.MethodsThe study group included 80 patients who applied to the cardiology department of Firat University with typical anginal complaints between October 2021 and April 2022, and were diagnosed with ischemia after the myocardial perfusion scan, and then coronary angiography was performed and normal coronary arteries were observed.ResultsWhen the study and control groups were examined according to age, gender and body mass index, hypertension, smoking, diabetes mellitus, dyslipidemia and family history, no statistical significant difference was observed between the groups. It was observed that there was a significant difference between the high sensitive C- reactive protin levels of the individuals in the study and control groups (p = 0.028). SII levels measured in samples taken from patients were significantly higher than control subjects (p = 0.003). SII cutoff at admission was 582 with 82% sensitivity and 84% specificity (area under the curve 0.972; 95% CI:0.95-0.98;p < 0.001).ConclusionIt has been demonstrated that systemic SII parameters, which can be simply calculated with the data obtained from the complete blood count and do not require additional costs, can contribute to the prediction of CSX disease.
dc.identifier.doi10.1186/s12872-023-03157-3
dc.identifier.issn1471-2261
dc.identifier.issue1
dc.identifier.orcid0000-0001-5702-1847
dc.identifier.orcid0000-0002-3557-1175
dc.identifier.orcid0000-0003-1713-3451
dc.identifier.pmid36959528
dc.identifier.scopus2-s2.0-85150892325
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1186/s12872-023-03157-3
dc.identifier.urihttps://hdl.handle.net/11508/58289
dc.identifier.volume23
dc.identifier.wosWOS:000959619300004
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherBmc
dc.relation.ispartofBmc Cardiovascular Disorders
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectCardiac syndrome x
dc.subjectSystemic immune-inflammation index
dc.subjectPredictiveness
dc.titlePredictive value of the systemic immune inflammatory index in cardiac syndrome x
dc.typeArticle

Dosyalar