Multi-inflammatory index as a novel mortality predictor in critically Ill COVID-19 patients

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dc.authorid0000-0003-3857-685en_US
dc.authorid0000-0003-4791-8946en_US
dc.authorid0000-0002-8870-3071en_US
dc.authorid0000-0001-5842-7849en_US
dc.authorid0000-0001-7476-2217en_US
dc.authorid0000-0002-2311-6431en_US
dc.contributor.authorGözdaş, Hasan Tahsin
dc.contributor.authorKayış, Seyit Ali
dc.contributor.authorDamarsoy, Tuğçe
dc.contributor.authorÖzsarı, Emine
dc.contributor.authorYıldız, İsa
dc.contributor.authorDemirhan, Abdullah
dc.date.accessioned2023-09-25T09:54:35Z
dc.date.available2023-09-25T09:54:35Z
dc.date.issued2022en_US
dc.departmentBAİBÜ, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümüen_US
dc.description.abstractAim Systemic inflammation has a crucial role in the pathogenesis and mortality of Coronavirus disease 2019 (COVID-19). Multi-inflammatory index (MII) is a novel index related with systemic inflammation. In this study, we investigated the relationship between MII and in-hospital mortality in COVID-19 patients admitted to the intensive care unit (ICU). Methods We retrospectively analyzed the medical records of COVID-19 patients followed-up in the ICU of our institution between 01.04.2020 and 01.10.2021. Patients were classified into two groups according to mortality status as survivors and non-survivors. Various inflammatory parameters of the groups were compared and their efficacy in predicting mortality was investigated. Results Out of 348 study patients, 86 cases (24.7%) were in the survived group and 262 cases (75.3%) were in the dead group. The median age of the mortal group was significantly higher than that of the survived group (65.5 vs 76, P < .001). Multiple logistic regression analysis revealed that among all the included inflammatory parameters, MII showed the best efficacy for predicting mortality (OR: 0.999; 95% CI: 0.9991-0.9998; P = .003). Conclusion MII, a new combination of Neutrophil to lymphocyte ratio (NLR) and C-reactive protein (CRP), is a simple and practical biomarker that can help us in the prediction of mortality in COVID-19 patients followed-up in the ICU.en_US
dc.identifier.citationGozdas, H. T., Kayis, S. A., Damarsoy, T., Ozsari, E., Turkoglu, M., Yildiz, I., & Demirhan, A. (2022). Multi-inflammatory index as a novel mortality predictor in critically Ill COVID-19 patients. Journal of Intensive Care Medicine, 37(11), 1480-1485.en_US
dc.identifier.doi10.1177/08850666221100411
dc.identifier.endpage1485en_US
dc.identifier.issn0885-0666
dc.identifier.issn1525-1489
dc.identifier.issue11en_US
dc.identifier.pmid35538901en_US
dc.identifier.scopus2-s2.0-85130287888en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1480en_US
dc.identifier.urihttp://dx.doi.org/10.1177/08850666221100411
dc.identifier.urihttps://hdl.handle.net/20.500.12491/11735
dc.identifier.volume37en_US
dc.identifier.wosWOS:000798316500001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorGözdaş, Hasan Tahsin
dc.institutionauthorKayış, Seyit Ali
dc.institutionauthorDamarsoy, Tuğçe
dc.institutionauthorÖzsarı, Emine
dc.institutionauthorYıldız, İsa
dc.institutionauthorDemirhan, Abdullah
dc.language.isoenen_US
dc.publisherSage Publications Incen_US
dc.relation.ispartofJournal of Intensive Care Medicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCoronavirus Disease 2019en_US
dc.subjectMortalityen_US
dc.subjectIntensive Care Uniten_US
dc.subjectMulti-Inflammatory Indexen_US
dc.subjectNeutrophilen_US
dc.titleMulti-inflammatory index as a novel mortality predictor in critically Ill COVID-19 patientsen_US
dc.typeArticleen_US

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