Systemic Immune-Inflammation Index Predicts Major Cardiovascular Adverse Events in Patients With St-Segment Elevated Myocardial Infarction

dc.contributor.author Saylik, Faysal
dc.contributor.author Akbulut, Tayyar
dc.date.accessioned 2025-05-10T17:13:55Z
dc.date.available 2025-05-10T17:13:55Z
dc.date.issued 2022
dc.description.abstract Background: The systemic immune-inflammation index (SII) has been reported as a new prognostic marker in tumors and cardiovascular diseases Objective: To investigate the association of SII with adverse cardiovascular events in patients with ST-segment elevated myocardial infarction (STEMI). Methods: A retrospective observational study was conducted on 843 patients with STEMI. Patients were divided into two groups based on the median value of SII. Major adverse cardiovascular events were compared between SII groups. Cox regression analysis was used for detecting independent predictors of cardiovascular adverse events. The improvement of discrimination ability by adding SII to the traditional risk factors such as age, hypertension, diabetes mellitus, and male gender for major adverse events was calculated by c-statistics, integrated discrimination improvement, and net reclassification improvement. A two-sided p-value <0.05 was considered significant. Results: High SII group was older than the low SII group (61.2 +/- 11.2, 59.2 +/- 7.9, respectively, p=0.002). The high SII group had higher rates of cardiac death, nonfatal myocardial infarction, nonfatal stroke, hospitalization for heart failure, revascularization, and composite major adverse cardiovascular events than the low Sll group. SII was an independent predictor of all events mentioned above. Adding Sll to traditional risk factors improved their discrimination ability for cardiovascular events. SII was superior to the neutrophil-to-lymphocyte and platelet-to- lymphocyte ratios for predicting cardiovascular adverse events. Conclusion: SII was an independent predictor of major adverse events in patients with STEMI and may be used to improve the prediction of adverse events, especially when combined with traditional risk factors. en_US
dc.identifier.doi 10.36660/abc.20210412
dc.identifier.issn 0066-782X
dc.identifier.issn 1678-4170
dc.identifier.uri https://doi.org/10.36660/abc.20210412
dc.identifier.uri https://hdl.handle.net/20.500.14720/8335
dc.language.iso en en_US
dc.publisher Arquivos Brasileiros Cardiologia en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Myocardial Infarction en_US
dc.subject Heart Defects, Congenital en_US
dc.subject Coronary Vessels en_US
dc.title Systemic Immune-Inflammation Index Predicts Major Cardiovascular Adverse Events in Patients With St-Segment Elevated Myocardial Infarction en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.wosid Şaylık, Faysal/Gqq-3347-2022
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department T.C. Van Yüzüncü Yıl Üniversitesi en_US
gdc.description.departmenttemp [Saylik, Faysal; Akbulut, Tayyar] Van Educ & Res Hosp, Dept Cardiol, Van, Turkey en_US
gdc.description.endpage 22 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 14 en_US
gdc.description.volume 119 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q3
gdc.identifier.pmid 35830117
gdc.identifier.wos WOS:000826351900004
gdc.index.type WoS
gdc.index.type PubMed

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