Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors

dc.creatorPan, Feng
dc.creatorZheng, Chuansheng
dc.creatorYe, Tianhe
dc.creatorLi, Lingli
dc.creatorLiu, Dehan
dc.creatorLi, Lin
dc.creatorHesketh, Richard L
dc.creatorYang, Lian
dc.date.accessioned2020-07-21T21:42:27Z
dc.date.available2020-07-21T21:42:27Z
dc.date.created2020-07-09
dc.description.abstractenglishThis study aimed to compare the chest computed tomography (CT) findings between survivors and non-survivors with Coronavirus Disease 2019 (COVID-19). Between 12 January 2020 and 20 February 2020, the records of 124 consecutive patients diagnosed with COVID-19 were retrospectively reviewed and divided into survivor (83/124) and non-survivor (41/124) groups. Chest CT findings were qualitatively compared on admission and serial chest CT scans were semi-quantitively evaluated between two groups using curve estimations. On admission, significantly more bilateral (97.6% vs. 73.5%, p = 0.001) and diffuse lesions (39.0% vs. 8.4%, p < 0.001) with higher total CT score (median 10 vs. 4, p < 0.001) were observed in non-survivor group compared with survivor group. Besides, crazy-paving pattern was more predominant in non-survivor group than survivor group (39.0% vs. 12.0%, p < 0.001). From the prediction of curve estimation, in survivor group total CT score increased in the first 20 days reaching a peak of 6 points and then gradually decreased for more than other 40 days (R2 = 0.545, p < 0.001). In non-survivor group, total CT score rapidly increased over 10 points in the first 10 days and gradually increased afterwards until ARDS occurred with following death events (R2 = 0.711, p < 0.001). In conclusion, persistent progression with predominant crazy-paving pattern was the major manifestation of COVID-19 in non-survivors. Understanding this CT feature could help the clinical physician to predict the prognosis of the patients.spa
dc.format.extent9 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.1038/s41598-020-68057-4spa
dc.identifier.issn2045-2322spa
dc.identifier.otherhttps://www.nature.com/articles/s41598-020-68057-4spa
dc.identifier.urihttps://hdl.handle.net/20.500.12010/10908
dc.publisherScience Directeng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectTomografía computarizadaspa
dc.subject.keywordComputed tomographyspa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.titleDifferent computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivorsspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localArtículospa

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