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dc.creatorLiu, Xiaofan
dc.creatorZhou, Hong
dc.creatorZhou, Yilu
dc.creatorWu, Xiaojun
dc.creatorZhao, Yang
dc.creatorLu, Yang
dc.creatorTan, Weijun
dc.creatorYuan, Mingli
dc.creatorDing, Xuhong
dc.creatorZou, Jinjing
dc.creatorLi, Ruiyun
dc.creatorLiu, Hailing
dc.creatorEwing, Rob M.
dc.creatorHu, Yi
dc.creatorNie, Hanxiang
dc.creatorWang, Yihua
dc.date.accessioned2020-07-21T22:37:26Z
dc.date.available2020-07-21T22:37:26Z
dc.date.created2020-06-24
dc.identifier.issn2045-2322spa
dc.identifier.otherhttps://www.nature.com/articles/s41598-020-66895-wspa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/10915
dc.format.extent9 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.publisherScience Directeng
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectCOVID-19spa
dc.titleTemporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearancespa
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.identifier.doihttps://doi.org/10.1038/s41598-020-66895-wspa
dc.description.abstractenglishCOVID-19 is “public enemy number one” and has placed an enormous burden on health authorities across the world. Given the wide clinical spectrum of COVID-19, understanding the factors that can predict disease severity will be essential since this will help frontline clinical staff to stratify patients with increased confidence. To investigate the diagnostic value of the temporal radiographic changes, and the relationship to disease severity and viral clearance in COVID-19 patients. In this retrospective cohort study, we included 99 patients admitted to the Renmin Hospital of Wuhan University, with laboratory confirmed moderate or severe COVID-19. Temporal radiographic changes and viral clearance were explored using appropriate statistical methods. Radiographic features from HRCT scans included ground-glass opacity, consolidation, air bronchogram, nodular opacities and pleural effusion. The HRCT scores (peak) during disease course in COVID-19 patients with severe pneumonia (median: 24.5) were higher compared to those with pneumonia (median: 10) (p = 3.56 × 10 −12), with more frequency of consolidation (p = 0.025) and air bronchogram (p = 7.50 × 10−6). The median values of days when the peak HRCT scores were reached in pneumonia or severe pneumonia patients were 12 vs. 14, respectively (p = 0.048). Log-rank test and Spearman’s Rank-Order correlation suggested temporal radiographic changes as a valuable predictor for viral clearance. In addition, follow up CT scans from 11 pneumonia patients showed full recovery. Given the values of HRCT scores for both disease severity and viral clearance, a standardised HRCT score system for COVID-19 is highly demanded.spa


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