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dc.contributor.authorAcar, Ethem
dc.contributor.authorDemir, Ahmet
dc.contributor.authorYıldırım, Birdal
dc.contributor.authorKaya, Mehmet Gökhan
dc.contributor.authorGökçek, Kemal
dc.date.accessioned2021-04-27T08:02:49Z
dc.date.available2021-04-27T08:02:49Z
dc.date.issued2021en_US
dc.identifier.citationAcar E, Demir A, Yıldırım B, Kaya MG, Gökçek K. The role of hemogram parameters and CRP in predicting mortality in COVID-19 infection. Int J Clin Pract. 2021 Apr 22:e14256. doi: 10.1111/ijcp.14256. Epub ahead of print. PMID: 33887100.en_US
dc.identifier.urihttps://doi.org/10.1111/ijcp.14256
dc.identifier.urihttps://hdl.handle.net/20.500.12809/9195
dc.description.abstractAim This study aimed to investigate hemogram parameters and CRP that can be used in clinical practice to predict mortality in hospitalized patients with a diagnosis of COVID‐19. Methods This cohort study was conducted at University Hospital, which is a designated hospital for COVID‐19 patients. Adult patients who were admitted to our hospital emergency department with suspected COVID‐19 and who were hospitalized in our institution with a COVID‐19 diagnosis were analysed. Results There were 148 patients hospitalized with COVID‐19. All‐cause mortality of follow‐up was 12.8%. There were statistically significant results between the 2 groups (survivors and non‐survivors), which were classified based on hospital mortality rates, in terms of the lymphocyte to C‐reactive protein ratio (LCRP), Systemic immune inflammation index (SII), , neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), CRP concentration and comorbid disease. In a Receiver operating characteristic (ROC)”. curve analysis, LCRP, NLR, PLR, and SII area under the curve (AUC) for in‐hospital mortality were 0.817, 0.816, 0.733 and, 0,742 respectively. Based on an LCRP value of 1 for in‐hospital mortality, the sensitivity, and specificity rates were 100%, 86.8% respectively. Based on the average SII of 2699 for in‐hospital mortality, the sensitivity, specificity, and accuracy rates were 68,4%, 77,5%, and 76,3%, respectively A total of 19 patients died during hospitalization. All of these patients had an LCRP level ≤ 1; 14 had an NLR level ≤ 10.8; 13 had a SII ≥ 2699 (Fisher’s exact test, p = 0.000). Independent predictors of in‐hospital mortality rates were LCRP < 1, PLR, SII ≥ 2699, white blood cell count, CRP, age, comorbidities, and ICU stay. Conclusions We concluded that inflammatory parameters, such as LRCP, SII and NLR, were associated with disease severity and could be used as potentially important risk factors for COVID‐19 progression.en_US
dc.item-language.isoengen_US
dc.publisherWileyen_US
dc.relation.isversionof10.1111/ijcp.14256en_US
dc.item-rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOVID-19en_US
dc.subjectInflammation markersen_US
dc.subjectLymphocyte to CRP ratioen_US
dc.subjectMortalityen_US
dc.subjectSystemic immune inflammation indexen_US
dc.titleThe role of hemogram parameters and CRP in predicting mortality in COVID‐19 infectionen_US
dc.item-typearticleen_US
dc.contributor.departmentMÜ, Tıp Fakültesi, Cerrahi Tıp Bilimleri Bölümüen_US
dc.contributor.authorID0000-0003-2251-112Xen_US
dc.contributor.institutionauthorAcar, Ethem
dc.contributor.institutionauthorDemir, Ahmet
dc.contributor.institutionauthorYıldırım, Birdal
dc.contributor.institutionauthorMehmet Gökhan, Kaya
dc.contributor.institutionauthorGökçek, Kemal
dc.relation.journalThe International Journal of Clinical Practiceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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