Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors
| dc.creator | Pan, Feng | |
| dc.creator | Zheng, Chuansheng | |
| dc.creator | Ye, Tianhe | |
| dc.creator | Li, Lingli | |
| dc.creator | Liu, Dehan | |
| dc.creator | Li, Lin | |
| dc.creator | Hesketh, Richard L | |
| dc.creator | Yang, Lian | |
| dc.date.accessioned | 2020-07-21T21:42:27Z | |
| dc.date.available | 2020-07-21T21:42:27Z | |
| dc.date.created | 2020-07-09 | |
| dc.description.abstractenglish | This 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.extent | 9 páginas | spa |
| dc.format.mimetype | application/pdf | spa |
| dc.identifier.doi | https://doi.org/10.1038/s41598-020-68057-4 | spa |
| dc.identifier.issn | 2045-2322 | spa |
| dc.identifier.other | https://www.nature.com/articles/s41598-020-68057-4 | spa |
| dc.identifier.uri | https://hdl.handle.net/20.500.12010/10908 | |
| dc.publisher | Science Direct | eng |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
| dc.source | reponame:Expeditio Repositorio Institucional UJTL | spa |
| dc.source | instname:Universidad de Bogotá Jorge Tadeo Lozano | spa |
| dc.subject | Tomografía computarizada | spa |
| dc.subject.keyword | Computed tomography | spa |
| dc.subject.lemb | Síndrome respiratorio agudo grave | spa |
| dc.subject.lemb | COVID-19 | spa |
| dc.subject.lemb | SARS-CoV-2 | spa |
| dc.subject.lemb | Coronavirus | spa |
| dc.title | Different computed tomography patterns of Coronavirus Disease 2019 (COVID-19) between survivors and non-survivors | spa |
| dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
| dc.type.local | Artículo | spa |
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