Measurement of Uncertainty in Prediction of No-Reflow Phenomenon after Primary Percutaneous Coronary Intervention Using Systemic Immune Inflammation Index: The Gray Zone Approach

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dc.authoridKarakaya, Jale/0000-0002-7222-7875
dc.authoridKARAAGAOGLU, ERGUN/0000-0002-7024-7231
dc.authoridOzturk, Ebru/0000-0001-9206-6856
dc.authoridKILICKAP, MUSTAFA/0000-0001-7628-700X
dc.contributor.authorOzturk, Ebru
dc.contributor.authorEsenboga, Kerim
dc.contributor.authorKurtul, Alparslan
dc.contributor.authorKilickap, Mustafa
dc.contributor.authorKaraagaoglu, Ergun
dc.contributor.authorKarakaya, Jale
dc.date.accessioned2024-09-18T20:59:06Z
dc.date.available2024-09-18T20:59:06Z
dc.date.issued2023
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractSystemic immune-inflammation index (SII), which is a good predictive marker for coronary artery disease, can be calculated by using platelet, neutrophil, and lymphocyte counts. The no-reflow occurrence can also be predicted using the SII. The aim of this study is to reveal the uncertainty of SII for diagnosing ST-elevation myocardial infarction (STEMI) patients who were admitted for primary percutaneous coronary intervention (PCI) for the no-reflow phenomenon. A total of 510 consecutive acute (STEMI) patients with primary PCI were reviewed and included retrospectively. For diagnostic tests which are not a gold standard, there is always an overlap between the results of patients with and without a certain disease. In the literature, for quantitative diagnostic tests where the diagnosis is not certain, two approaches have been proposed, named grey zone and uncertain interval. The uncertain area of the SII, which is given the general term gray zone in this article, was constructed and its results were compared with the grey zone and uncertain interval approaches. The lower and upper limits of the gray zone were found to be 611.504-1790.827 and 1186.576-1565.088 for the grey zone and uncertain interval approaches, respectively. A higher number of patients inside the gray zone and higher performance outside the gray zone were found for the grey zone approach. One should be aware of the differences between the two approaches when making a decision. The patients who were in this gray zone should be observed carefully for detection of the no-reflow phenomenon.en_US
dc.identifier.doi10.3390/diagnostics13040709
dc.identifier.issn2075-4418
dc.identifier.issue4en_US
dc.identifier.pmid36832197en_US
dc.identifier.scopus2-s2.0-85149134303en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.3390/diagnostics13040709
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12376
dc.identifier.volume13en_US
dc.identifier.wosWOS:000938507700001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofDiagnosticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectstatistical detectionen_US
dc.subjectuncertaintyen_US
dc.subjectsystemic immune inflammation indexen_US
dc.subjectno-reflow phenomenonen_US
dc.subjectprimary percutaneous coronary interventionen_US
dc.titleMeasurement of Uncertainty in Prediction of No-Reflow Phenomenon after Primary Percutaneous Coronary Intervention Using Systemic Immune Inflammation Index: The Gray Zone Approachen_US
dc.typeArticleen_US

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