About: Prealbumin as a Predictor of Prognosis in Patients With Coronavirus Disease 2019

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Prealbumin as a Predictor of Prognosis in Patients With Coronavirus Disease 2019
Creator	Sun, Ziyong Yuan, Xu Wang, Feng Xue, Ying Luo, Ying Song, Huijuan Samy, Abdallah Zeng, Jianxiong Lin, Qun Mao, Liyan Tang, Guoxing Anand, Vijaya Basir, Rusliza Demirci, Mehmet
Source	Medline; PMC
abstract	Background: The predictive value of prealbumin for the prognosis of coronavirus disease 2019 (COVID-19) has not been extensively investigated. Methods: A total of 1,115 patients with laboratory-confirmed COVID-19 were enrolled at Tongji hospital from February to April 2020 and classified into fatal (n = 129) and recovered (n = 986) groups according to the patient's outcome. Prealbumin and other routine laboratory indicators were measured simultaneously. Results: The level of prealbumin on admission was significantly lower in fatal patients than in recovered patients. For predicting the prognosis of COVID-19, the performance of prealbumin was better than most routine laboratory indicators, such as albumin, lymphocyte count, neutrophil count, hypersensitive C-reactive protein, d-dimer, lactate dehydrogenase, creatinine, and hypersensitive cardiac troponin I. When a threshold of 126 mg/L was used to discriminate between fatal and recovered patients, the sensitivity and specificity of prealbumin were, respectively, 78.29 and 90.06%. Furthermore, a model based on the combination of nine indexes showed an improved performance in predicting the death of patients with COVID-19. Using a cut-off value of 0.19, the prediction model was able to distinguish between fatal and recovered individuals with a sensitivity of 86.82% and a specificity of 90.37%. Conclusions: A lower level of prealbumin on admission may indicate a worse outcome of COVID-19. Immune and nutritional status may be vital factors for predicting disease progression in the early stage of COVID-19.
has issue date	2020-06-26(xsd:dateTime)
bibo:doi	10.3389/fmed.2020.00374
bibo:pmid	32671085
has license	cc-by
sha1sum (hex)	f294332d7a34e1d8b893e95352c09aec8e2c446f
schema:url	https://doi.org/10.3389/fmed.2020.00374
resource representing a document's title	Prealbumin as a Predictor of Prognosis in Patients With Coronavirus Disease 2019
has PubMed Central identifier	PMC7333015
has PubMed identifier	32671085
schema:publication	Front Med (Lausanne)
resource representing a document's body	covid:f294332d7a34e1d8b893e95352c09aec8e2c446f#body_text
is schema:about of	named entity 'COVID-19' named entity 'PREDICTIVE VALUE' covid:arg/f294332d7a34e1d8b893e95352c09aec8e2c446f named entity 'predictive' named entity 'coronavirus disease 2019' named entity 'Disease' named entity 'prealbumin' named entity 'globulin' named entity 'anti-viral' named entity 'prognosis' named entity 'comorbidities' named entity 'platelet count' named entity 'MedCalc' named entity 'viral infection' named entity 'neutrophil' named entity 'GraphPad Prism' named entity 'risk factors' named entity 'symptoms and signs' named entity 'Belgium' named entity 'COVID' named entity 'prognosis' named entity 'health concern' named entity '25.0' named entity 'RT-PCR' named entity 'Wuhan' named entity 'respiratory disease' named entity 'COVID-19' named entity 'hsCRP' named entity 'd-dimer' named entity 'cTnI' named entity 'ROC analysis' named entity 'hsCRP' named entity 'organ dysfunction' named entity 'Mariakerke' named entity 'World Health Organization' named entity 'immune response' named entity 'co-morbidities' named entity 'immune status' named entity 'San Diego' named entity 'RT-PCR' named entity 'lymphocytes' named entity 'Huazhong University of Science and Technology' named entity 'Chicago' named entity 'Tongji Hospital' named entity 'RT-PCR' named entity 'WBC' named entity 'Germany' named entity 'infection' named entity 'logistic regression' named entity 'COVID' named entity 'predictive utility' named entity 'COVID' named entity 'kidney failure' named entity 'China' named entity 'COVID' named entity 'COVID' named entity 'epidemic' named entity 'supportive care' named entity 'nutritional status' named entity 'COVID-19' named entity 'standard deviation' named entity 'LDH' named entity '95% CI' named entity 'COVID' named entity 'cTnI' named entity 'viral infection' named entity 'hsCRP' named entity 'prealbumin'

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