Could Some Laboratory Parameters Predict Mortality in COVID-19?

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dc.authoridçat, abdulkadir/0000-0002-9910-5907en_US
dc.authoridGümüş, Alper/0000-0002-4453-6339en_US
dc.contributor.authorNurlu, Nilhan
dc.contributor.authorÖzturk, Onur O.
dc.contributor.authorCat, Abdulkadir
dc.contributor.authorAltunok, Elif S.
dc.contributor.authorGumus, Alper
dc.date.accessioned2024-07-12T21:37:28Z
dc.date.available2024-07-12T21:37:28Z
dc.date.issued2021en_US
dc.department[Belirlenecek]en_US
dc.description.abstractBackground: The number of confirmed cases of COVID-19 continues to increase worldwide and threatens public health. Our aim in this study is to examine the relationship between some laboratory parameters and hematological ratios with the severity of the disease and hospital mortality. Methods: This study was designed as a retrospective cohort. The clinical data of 743 COVID-19 diagnosed patients who were eligible for hospitalization between March 16, and May 15, 2020 analyzed, retrospectively. The patients were separated into two groups as discharged from hospital (n = 681) and dead in hospital (n = 62). ROC curves and cutoff values of NLR (Neutrophil/Lymphocyte Ratio), PLR (Platelet/Lymphocyte Ratio), MLR (Monocyte/Lymphocyte Ratio), CRP, and ferritin upon admission to hospital were calculated for the two groups. Binary Logistic Regression used to determine independent risk factors for mortality. Results: The difference between both groups for age, duration in hospital, WBC, neutrophil, lymphocyte, NLR, PLR, MLR, CRP, and ferritin values were statistically significant. NLR had the highest area under the curve with a cutoff of 5.5 in the ROC curve [(AUC: 0.892, 95% CI: 0.844 - 0.939); Sensitivity = 85%, Specificity = 84%]. NLR, MLR, PLR, CRP and Ferritin groups have significant effects on the survival times of the Covid-19 patients. According to logistic regression analysis, increments of NLR (OR = 18.1, 95% CI: 6.4 - 51.4), CRP (OR = 5.5, 95% CI: 2.5 - 12.2), and age (OR = 2.7 95% CI: 1.3 - 5.5) values proportionally increase the death probability. Conclusions: NLR, CRP, and age are independent risk factors for mortality from COVID-19. We believe that evaluating these parameters together during diagnosis will be important in predicting the prognosis of the disease and in treatment approaches.en_US
dc.identifier.doi10.7754/Clin.Lab.2021.201231
dc.identifier.endpage1862en_US
dc.identifier.issn1433-6510
dc.identifier.issue8en_US
dc.identifier.pmid34383425en_US
dc.identifier.scopus2-s2.0-85112401640en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1853en_US
dc.identifier.urihttps://doi.org/10.7754/Clin.Lab.2021.201231
dc.identifier.urihttps://hdl.handle.net/20.500.12415/6799
dc.identifier.volume67en_US
dc.identifier.wosWOS:000684711600013en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoenen_US
dc.publisherClin Lab Publen_US
dc.relation.ispartofClinical Laboratoryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKY04141
dc.subjectCovid-19en_US
dc.subjectNeutrophil To Lymphocyte Ratioen_US
dc.subjectRisk Factorsen_US
dc.subjectMortalityen_US
dc.titleCould Some Laboratory Parameters Predict Mortality in COVID-19?en_US
dc.typeArticle
dspace.entity.typePublication

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