Publication: Immature platelet fraction: is a novel early predictive marker for disease severity in patients with Covid-19 pneumonia?
dc.contributor.coauthor | Taşdemir, Zeynep Atam | |
dc.contributor.coauthor | Paloğlu, Kerim Erhan | |
dc.contributor.department | KUH (Koç University Hospital) | |
dc.contributor.department | School of Medicine | |
dc.contributor.kuauthor | Akpınar, Timur Selçuk | |
dc.contributor.kuauthor | Baygül, Arzu Eden | |
dc.contributor.kuauthor | Çaltı, Hatice Kant | |
dc.contributor.kuauthor | Dağel, Tuncay | |
dc.contributor.kuauthor | İncir, Said | |
dc.contributor.kuauthor | Kapmaz, Mahir | |
dc.contributor.kuauthor | Kılıç, Alparslan | |
dc.contributor.kuauthor | Komesli, Zeynep | |
dc.contributor.kuauthor | Okan, Ayşe | |
dc.contributor.kuauthor | Somay, Kayra | |
dc.contributor.kuauthor | Tekin, Süda | |
dc.contributor.schoolcollegeinstitute | KUH (KOÇ UNIVERSITY HOSPITAL) | |
dc.contributor.schoolcollegeinstitute | SCHOOL OF MEDICINE | |
dc.date.accessioned | 2024-11-09T12:40:19Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Objectives: in many diseases, immature platelet fraction (IPF%) is related to coagulopathy and poor outcome. This study aimed to investigate the predictive value of IPF% for the severity of pneumonia in patients with Coronavirus Disease 2019 (COVID-19). Methods: a total of 154 patients with COVID-19 infections were included. The patients were divided into two groups according to the severity of pneumonia (severe and nonsevere) regarding their oxygen demand. Results: given laboratory parameters, the median IPF% was significantly higher in the severe group (11.9 vs. 3.9%, p<0.001). Mean platelet volume (p<0.001), platelet-large cell ratio (p=0.001), platelet distribution width (p=0.001), D-Dimer (p<0.001), INR (p=0.003), and aPTT (p=0.007) were also found to be significantly higher in the severe group. Moreover, IPF (p=0.014, Odds ratio = 2.000, 95%CI: 1.149-3.482) was an independent predictor for the severity. The curve value from receiver operating characteristics was 0.879 (p<0.001, 95%CI: 0.784-0.943) for determining the severity of pneumonia. IPF% had a sensitivity and specificity value of 69.5 and 92.4% to detect the disease's severity. Conclusions: IPF% is an independent predictor for the severity of COVID-19 pneumonia. Assessment of IPF% may both help to early determine high-risk patients with COVID-19 and to alert the physicians. / Amaç: pek çok hastalıkta, immatür platelet fraksiyonu (%İPF), koagülopati ve kötü sonuçla ilişkilidir. Bu çalışma, Coronavirus Hastalığı 2019 (COVID-19) olan hastalarda pnömoni şiddeti için %İPF’nin prediktif değerini araştırmayı amaçladı. Yöntem: COVID-19 enfeksiyonu olan toplam 154 hasta dahil edildi. Hastalar, oksijen ihtiyaçları göz önüne alınarak pnömoni şiddetine göre (ağır ve ağır olmayan) iki gruba ayrıldı. Bulgular: laboratuvar parametrelerine bakıldığında, medyan İPF yüzdesi ağır grupta anlamlı olarak daha yüksekti (% 11.9?a karşı %3.9, p<0.001). Ortalama trombosit hacmi (p<0.001), trombosit-büyük hücre oranı (p=0.001), trombosit dağılım genişliği (p=0.001), D-Dimer (p<0.001),İNR (p=0.003) ve aPTT (p=0.007) ağır grupta anlamlı olarak daha yüksek bulundu. Ayrıca, İPF (p=0.014, Odds oranı = 2.000, %95 CI: 1.149-3.482) hastalık şiddeti için bağımsız bir öngördürücü olarak bulundu. Algılayıcı işletim eğrisinden gelen eğri değeri, pnömoni şiddetini belirlemek için 0.879 (p<0.001, % 95 CI: 0.784-0.943) idi. İPF, hastalığın şiddetini saptamak için %69.5?lik duyarlılık ve %92.4?lük özgüllük değerine sahipti. Sonuç: İPF, COVID-19 pnömonisinin şiddeti için bağımsız bir öngörücüdür. %İPF’nin değerlendirilmesi, hem COVID-19? lu yüksek riskli hastaları erken belirlemeye hem de hekimleri uyarmaya yardımcı olabilir. | |
dc.description.fulltext | YES | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | TR Dizin | |
dc.description.issue | 4 | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | N/A | |
dc.description.version | Publisher version | |
dc.description.volume | 46 | |
dc.identifier.doi | 10.1515/tjb-2021-0070 | |
dc.identifier.eissn | 1303-829X | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR03195 | |
dc.identifier.issn | 0250-4685 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-85115384573 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/2177 | |
dc.identifier.wos | 693607700004 | |
dc.keywords | Biomarker | |
dc.keywords | Blood cell count | |
dc.keywords | COVID-19 | |
dc.keywords | Immature platelet fraction | |
dc.keywords | SARS-CoV-2 | |
dc.language.iso | eng | |
dc.publisher | De Gruyter | |
dc.relation.grantno | NA | |
dc.relation.ispartof | Turkish Journal of Biochemistry / Türk Biyokimya Dergisi | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9957 | |
dc.subject | Biochemistry | |
dc.subject | Molecular biology | |
dc.title | Immature platelet fraction: is a novel early predictive marker for disease severity in patients with Covid-19 pneumonia? | |
dc.title.alternative | Immatür platelet fraksiyonu: Covid-19 pnömonisi olan hastalarda hastalık şiddeti için yeni bir erken prediktif belirteç olabilir mi? | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | İncir, Said | |
local.contributor.kuauthor | Komesli, Zeynep | |
local.contributor.kuauthor | Baygül, Arzu Eden | |
local.contributor.kuauthor | Çaltı, Hatice Kant | |
local.contributor.kuauthor | Kapmaz, Mahir | |
local.contributor.kuauthor | Tekin, Süda | |
local.contributor.kuauthor | Kılıç, Alparslan | |
local.contributor.kuauthor | Dağel, Tuncay | |
local.contributor.kuauthor | Okan, Ayşe | |
local.contributor.kuauthor | Somay, Kayra | |
local.contributor.kuauthor | Akpınar, Timur Selçuk | |
local.publication.orgunit1 | SCHOOL OF MEDICINE | |
local.publication.orgunit1 | KUH (KOÇ UNIVERSITY HOSPITAL) | |
local.publication.orgunit2 | KUH (Koç University Hospital) | |
local.publication.orgunit2 | School of Medicine | |
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