Show simple item record

dc.creatorFeng, Zhichao
dc.creatorYu, Qizhi
dc.creatorYao, Shanhu
dc.creatorLuo, Lei
dc.creatorZhou, Wenming
dc.creatorMao, Xiaowen
dc.creatorLi, Jennifer
dc.creatorDuan, Junhong
dc.creatorYan, Zhimin
dc.creatorYang, Min
dc.creatorTan, Hongpei
dc.creatorMa, Mengtian
dc.creatorLi, Ting
dc.creatorYi, Dali
dc.creatorMi, Ze
dc.creatorZhao, Huafei
dc.creatorJiang, Yi
dc.creatorHe, Zhenhu
dc.creatorLi, Huiling
dc.creatorNie, Wei
dc.creatorLiu, Yin
dc.creatorZhao, Jing
dc.creatorLuo, Muqing
dc.creatorLiu, Xuanhui
dc.creatorRong, Pengfei
dc.creatorWang, Wei
dc.date.accessioned2020-10-13T20:22:43Z
dc.date.available2020-10-13T20:22:43Z
dc.date.created2020
dc.identifier.issn2041-1723spa
dc.identifier.otherhttps://doi.org/10.1038/s41467-020-18786-xspa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/14428
dc.description.abstractThe outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification of patients at risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resource. Here we conducted a multicenter retrospective study involving patients with moderate COVID-19 pneumonia to investigate the utility of chest computed tomography (CT) and clinical characteristics to risk-stratify the patients. Our results show that CT severity score is associated with inflammatory levels and that older age, higher neutrophil-to-lymphocyte ratio (NLR), and CT severity score on admission are independent risk factors for short-term progression. The nomogram based on these risk factors shows good calibration and discrimination in the derivation and validation cohorts. These findings have implications for predicting the progression risk of COVID-19 pneumonia patients at the time of admission. CT examination may help risk-stratification and guide the timing of admission.spa
dc.format.extent9 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherNature communicationsspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectEarly predictionspa
dc.subjectDisease progressionspa
dc.subjectCOVID-19spa
dc.subjectPneumonia patientsspa
dc.titleEarly prediction of disease progression in COVID- 19 pneumonia patients with chest CT and clinical characteristicsspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.doihttps://doi.org/10.1038/s41467-020-18786-xspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record