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Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance
COVID-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 patien...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314788/ https://www.ncbi.nlm.nih.gov/pubmed/32581324 http://dx.doi.org/10.1038/s41598-020-66895-w |
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author | Liu, Xiaofan Zhou, Hong Zhou, Yilu Wu, Xiaojun Zhao, Yang Lu, Yang Tan, Weijun Yuan, Mingli Ding, Xuhong Zou, Jinjing Li, Ruiyun Liu, Hailing Ewing, Rob M. Hu, Yi Nie, Hanxiang Wang, Yihua |
author_facet | Liu, Xiaofan Zhou, Hong Zhou, Yilu Wu, Xiaojun Zhao, Yang Lu, Yang Tan, Weijun Yuan, Mingli Ding, Xuhong Zou, Jinjing Li, Ruiyun Liu, Hailing Ewing, Rob M. Hu, Yi Nie, Hanxiang Wang, Yihua |
author_sort | Liu, Xiaofan |
collection | PubMed |
description | COVID-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. |
format | Online Article Text |
id | pubmed-7314788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73147882020-06-26 Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance Liu, Xiaofan Zhou, Hong Zhou, Yilu Wu, Xiaojun Zhao, Yang Lu, Yang Tan, Weijun Yuan, Mingli Ding, Xuhong Zou, Jinjing Li, Ruiyun Liu, Hailing Ewing, Rob M. Hu, Yi Nie, Hanxiang Wang, Yihua Sci Rep Article COVID-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. Nature Publishing Group UK 2020-06-24 /pmc/articles/PMC7314788/ /pubmed/32581324 http://dx.doi.org/10.1038/s41598-020-66895-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Xiaofan Zhou, Hong Zhou, Yilu Wu, Xiaojun Zhao, Yang Lu, Yang Tan, Weijun Yuan, Mingli Ding, Xuhong Zou, Jinjing Li, Ruiyun Liu, Hailing Ewing, Rob M. Hu, Yi Nie, Hanxiang Wang, Yihua Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance |
title | Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance |
title_full | Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance |
title_fullStr | Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance |
title_full_unstemmed | Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance |
title_short | Temporal radiographic changes in COVID-19 patients: relationship to disease severity and viral clearance |
title_sort | temporal radiographic changes in covid-19 patients: relationship to disease severity and viral clearance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314788/ https://www.ncbi.nlm.nih.gov/pubmed/32581324 http://dx.doi.org/10.1038/s41598-020-66895-w |
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