About: Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count

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About: Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count
Creator	Wang, Jing Li, Jun Shen, Bo Bi, Xiaojie Du, Juping Yan, Haixi Chen, Linping Chen, Shiyong Peng, Minfei Su, Zhengxian
Source	Medline; PMC
abstract	Concomitant coagulation disorder can occur in severe patients withCOVID-19, but in-depth studies are limited. This study aimed to describe the parameters of coagulation function of patients with COVID-19 and reveal the risk factors of developing severe disease. This study retrospectively analyzed 113patients with SARS-CoV-2 infection in Taizhou Public Health Center. Clinical characteristics and indexes of coagulation function were collected. A multivariate Cox analysis was performed to identify potential biomarkers for predicting disease progression. Based on the results of multivariate Cox analysis, a Nomogram was built and the predictive accuracy was evaluated through the calibration curve, decision curve, clinical impact curve, and Kaplan–Meier analysis. Sensitivity, specificity, predictive values were calculated to assess the clinical value. The data showed that Fibrinogen, FAR, and D-dimer were higher in the severe patients, while PLTcount, Alb were much lower. Multivariate Cox analysis revealed that FAR and PLT count were independent risk factors for disease progression. The optimal cutoff values for FAR and PLT count were 0.0883 and 13510(9)/L, respectively. The C-index [0.712 (95% CI = 0.610–0.814)], decision curve, clinical impact curve showed that Nomogram could be used to predict the disease progression. In addition, the Kaplan–Meier analysis revealed that potential risk decreased in patients with FAR<0.0883 and PLT count>13510(9)/L.The model showed a good negative predictive value [(0.9474 (95%CI = 0.845–0.986)].This study revealed that FAR and PLT count were independent risk factors for severe illness and the severity of COVID-19 might be excluded when FAR<0.0883 and PLT count>135*10(9)/L.
has issue date	2020-05-05(xsd:dateTime)
bibo:doi	10.1080/09537104.2020.1760230
bibo:pmid	32367765
has license	no-cc
sha1sum (hex)	cb6f95e7250d9ee1a85aa0b91d286b7bcd53ad8d
schema:url	https://doi.org/10.1080/09537104.2020.1760230
resource representing a document's title	Prediction of severe illness due to COVID-19 based on an analysis of initial Fibrinogen to Albumin Ratio and Platelet count
has PubMed Central identifier	PMC7212543
has PubMed identifier	32367765
schema:publication	Platelets
resource representing a document's body	covid:cb6f95e7250d9ee1a85aa0b91d286b7bcd53ad8d#body_text
is schema:about of	named entity 'count' named entity 'risk' named entity 'FAR' named entity 'FAR' named entity 'PLT' named entity 'values' named entity 'count' named entity 'severe' named entity 'EXCLUDED' named entity 'EVALUATED' named entity 'LIMITED' named entity 'INDEX' named entity 'OPTIMAL' named entity 'COX ANALYSIS' named entity 'ALB' named entity 'DATA' named entity 'RISK' named entity 'BASED' named entity 'studies' named entity 'multivariate' named entity 'severe' named entity 'coagulation' named entity 'potential' named entity 'count' named entity 'study' named entity 'progression' named entity 'study' named entity 'curve' named entity 'SARS-CoV-2' named entity 'developing' named entity 'function' named entity 'revealed' named entity 'multivariate' named entity 'curve' named entity 'PLT' named entity 'collected' named entity 'risk factors' named entity 'risk factors' named entity 'infection' named entity 'coagulation' named entity 'Clinical characteristics' named entity 'risk factors' named entity 'calibration curve' named entity '95% CI' named entity 'Public Health' named entity 'Nomogram' named entity 'D-dimer' named entity 'risk factors' named entity 'predictive values' named entity 'Fibrinogen' named entity 'COVID-19' named entity 'revealed' named entity 'Wuhan' named entity 'mm Hg' named entity 'mortality rate' named entity 'multivariate analysis' named entity 'follow-up' named entity 'coagulation' named entity 'COVID' named entity '95% CI' named entity 'Youden's index' named entity 'acute respiratory distress syndrome' named entity 'respiratory symptoms' named entity 'Zhejiang Province' named entity 'influenza' named entity 'Corticosteriods' named entity 'X-ray' named entity 'Fibrinogen' named entity 'coagulation' named entity 'thrombocytopenia' named entity 'D-dimer' named entity 'relative risk'

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