About: Can routine laboratory tests discriminate 2019 novel coronavirus infected pneumonia from other community-acquired pneumonia?

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Can routine laboratory tests discriminate 2019 novel coronavirus infected pneumonia from other community-acquired pneumonia?
Creator	Yang, Ying Li, Yirong Wang, Xinghuan Chen, Liangjun Deng, Qiaoling Pan, Yunbao Ye, Guangming Zhao, Jin Guo, Shuang Jiang, Xianghu Liu, Guohong Xiaoyue, Hong Zeng, Xiantao Zeng, Xiaojiao
source	MedRxiv
abstract	Background. The clinical presentation of 2019 Novel Coronavirus (2019-nCov) infected pneumonia (NCIP) resembles that of other etiologies of community-acquired pneumonia (CAP). We aimed to identify clinical laboratory features to distinguish NCIP from CAP. Methods. We compared the ability of the hematological and biochemical features of 84 patients with NCIP at hospital admission and 316 patients with CAP. Parameters independently predictive of NCIP were calculated by multivariate logistic regression. The receiver operating characteristic (ROC) curves were generated and the area under the ROC curve (AUC) was measured to evaluate the discriminative ability. Results. Most hematological and biochemical indexes of patients with NCIP were significantly different from patients with CAP. Nine laboratory parameters were identified to be highly predictive of a diagnosis of NCIP by multivariate analysis. The AUCs demonstrated good discriminatory ability for red cell distribution width (RDW) with an AUC of 0.88 and Hemoglobin (HGB) with an AUC of 0.82. Red blood cell (RBC), albumin (ALB), eosinophil (EO), hematocrit (HCT), alkaline phosphatase (ALP), and white blood cell (WBC) had fair discriminatory ability. Combinations of any two parameters performed better than did the RDW alone. Conclusions. Routine laboratory examinations may be helpful for the diagnosis of NCIP. Application of laboratory tests may help to optimize the use of isolation rooms for patients when they present with unexplained febrile respiratory illnesses.
has issue date	2020-02-25(xsd:dateTime)
bibo:doi	10.1101/2020.02.25.20024711
has license	medrxiv
sha1sum (hex)	bca15ad98e1d08c6a62c9c0486de84bc15a9f661
schema:url	https://doi.org/10.1101/2020.02.25.20024711
resource representing a document's title	Can routine laboratory tests discriminate 2019 novel coronavirus infected pneumonia from other community-acquired pneumonia?
resource representing a document's body	covid:bca15ad98e1d08c6a62c9c0486de84bc15a9f661#body_text
is schema:about of	named entity '2019 NOVEL CORONAVIRUS' covid:arg/bca15ad98e1d08c6a62c9c0486de84bc15a9f661 named entity 'ROUTINE' named entity 'INFECTED' named entity 'FEATURES' named entity 'PNEUMONIA' named entity 'PNEUMONIA' named entity 'CAP' named entity 'DISCRIMINATE' named entity 'BACKGROUND' named entity 'CLINICAL LABORATORY' named entity 'NOVEL CORONAVIRUS' named entity 'TO IDENTIFY' named entity 'INFECTED' named entity 'ETIOLOGIES' named entity 'COMMUNITY-ACQUIRED PNEUMONIA' named entity 'COMMUNITY-ACQUIRED PNEUMONIA' named entity 'LABORATORY TESTS' named entity 'CLINICAL PRESENTATION' named entity 'Coronavirus' named entity 'community-acquired pneumonia' named entity 'community-acquired pneumonia' named entity 'China' named entity 'Middle East respiratory syndrome' named entity 'etiologies' named entity 'CAP' named entity 'peer-reviewed' named entity 'CAP' named entity 'CAP' named entity 'preprint' named entity 'preprint' named entity 'RDW' named entity 'preprint' named entity 'GGT' named entity 'preprint' named entity 'ROC' named entity 'total bilirubin' named entity 'one-way analysis of variance' named entity 'medRxiv' named entity 'preprint' named entity 'preprint' named entity 'coronaviruses' named entity 'peer-reviewed' named entity 'CAP' named entity '2019 Novel Coronavirus' named entity 'GGT' named entity 'CAP' named entity 'peer-reviewed' named entity 'protein' named entity 'aspartate aminotransferase' named entity 'Statistical analyses' named entity 'CAP' named entity 'preprint' named entity 'respiratory symptoms' named entity 'Wuhan' named entity 'peer-reviewed' named entity 'clinical data' named entity 'pneumonia' named entity 'medRxiv' named entity 'peer-reviewed' named entity 'medRxiv' named entity 'alkaline phosphatase' named entity '2019-nCov' named entity 'CAP' named entity 'PCR' named entity 'Wuhan' named entity 'treatment of patients' named entity 'SPSS' named entity 'AST' named entity 'Wuhan' named entity 'diagnostic workup' named entity 'preprint'

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