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Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study
BACKGROUND: To assess the dynamic changes in clinical and CT characteristics of COVID-19 patients with different epidemiology histories. METHODS: Fifty-three discharged COVID-19 patients were enrolled at Beijing YouAn Hospital, Capital Medical University, between January 21 and March 10, 2020. Spear...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397456/ https://www.ncbi.nlm.nih.gov/pubmed/32746805 http://dx.doi.org/10.1186/s12879-020-05306-x |
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author | Li, Ruili Liu, Guangxue Huang, Xiaojie Jia, Cuiyu Xia, Zhenying Song, Wenyan Li, Xueqin Wang, Xing Li, Hongjun |
author_facet | Li, Ruili Liu, Guangxue Huang, Xiaojie Jia, Cuiyu Xia, Zhenying Song, Wenyan Li, Xueqin Wang, Xing Li, Hongjun |
author_sort | Li, Ruili |
collection | PubMed |
description | BACKGROUND: To assess the dynamic changes in clinical and CT characteristics of COVID-19 patients with different epidemiology histories. METHODS: Fifty-three discharged COVID-19 patients were enrolled at Beijing YouAn Hospital, Capital Medical University, between January 21 and March 10, 2020. Spearman correlation analysis was performed between CT scores and laboratory indicators. Patients were divided into the Wuhan group (lived in or with travel to Wuhan, numbering 30 cases) and non-Wuhan group (close contacts or unknown exposure, totaling 23 cases). The CT and laboratory findings were compared between and within groups during the clinical process. RESULTS: Fever (88.7%), cough (64.2%), fatigue (34%), and abnormal laboratory indicators, including lymphopenia, reduced albumin, albumin/globulin (A/G), and elevated C-reactive protein (CRP), were mainly observed. Subpleural ground-glass opacities (86.8%) were usually detected at admission. The CT scores were highly correlated with lymphocytes, CRP, albumin, and A/G at initial and follow-ups (all p < 0.05). Four days after admission, most patients (66.7% Wuhan, 47.8% non-Wuhan) showed progression, and the CT scores of Wuhan significantly increased (p = 0.015). Eight days after admission, the vast majority of patients (69.2% Wuhan, 100% non-Wuhan, p = 0.006) presented improvement, and the CT scores of non-Wuhan were significantly lower than Wuhan (p = 0.006). Pneumonia was completely absorbed in most patients 2–4 weeks after discharge. CONCLUSIONS: CT plays a crucial role in the early diagnosis and monitoring of changes in COVID-19. Lymphocytes, CRP, albumin, and A/G are expected to predict disease severity and prognosis. Viral pathogenicity in non-endemic areas may be weaker than core-infected areas. In most patients, lung lesions can disappear around 4 weeks after discharge. |
format | Online Article Text |
id | pubmed-7397456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73974562020-08-03 Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study Li, Ruili Liu, Guangxue Huang, Xiaojie Jia, Cuiyu Xia, Zhenying Song, Wenyan Li, Xueqin Wang, Xing Li, Hongjun BMC Infect Dis Research Article BACKGROUND: To assess the dynamic changes in clinical and CT characteristics of COVID-19 patients with different epidemiology histories. METHODS: Fifty-three discharged COVID-19 patients were enrolled at Beijing YouAn Hospital, Capital Medical University, between January 21 and March 10, 2020. Spearman correlation analysis was performed between CT scores and laboratory indicators. Patients were divided into the Wuhan group (lived in or with travel to Wuhan, numbering 30 cases) and non-Wuhan group (close contacts or unknown exposure, totaling 23 cases). The CT and laboratory findings were compared between and within groups during the clinical process. RESULTS: Fever (88.7%), cough (64.2%), fatigue (34%), and abnormal laboratory indicators, including lymphopenia, reduced albumin, albumin/globulin (A/G), and elevated C-reactive protein (CRP), were mainly observed. Subpleural ground-glass opacities (86.8%) were usually detected at admission. The CT scores were highly correlated with lymphocytes, CRP, albumin, and A/G at initial and follow-ups (all p < 0.05). Four days after admission, most patients (66.7% Wuhan, 47.8% non-Wuhan) showed progression, and the CT scores of Wuhan significantly increased (p = 0.015). Eight days after admission, the vast majority of patients (69.2% Wuhan, 100% non-Wuhan, p = 0.006) presented improvement, and the CT scores of non-Wuhan were significantly lower than Wuhan (p = 0.006). Pneumonia was completely absorbed in most patients 2–4 weeks after discharge. CONCLUSIONS: CT plays a crucial role in the early diagnosis and monitoring of changes in COVID-19. Lymphocytes, CRP, albumin, and A/G are expected to predict disease severity and prognosis. Viral pathogenicity in non-endemic areas may be weaker than core-infected areas. In most patients, lung lesions can disappear around 4 weeks after discharge. BioMed Central 2020-08-03 /pmc/articles/PMC7397456/ /pubmed/32746805 http://dx.doi.org/10.1186/s12879-020-05306-x Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Li, Ruili Liu, Guangxue Huang, Xiaojie Jia, Cuiyu Xia, Zhenying Song, Wenyan Li, Xueqin Wang, Xing Li, Hongjun Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study |
title | Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study |
title_full | Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study |
title_fullStr | Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study |
title_full_unstemmed | Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study |
title_short | Dynamic changes in clinical and CT characteristics of COVID-19 cases with different exposure histories: a retrospective study |
title_sort | dynamic changes in clinical and ct characteristics of covid-19 cases with different exposure histories: a retrospective study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397456/ https://www.ncbi.nlm.nih.gov/pubmed/32746805 http://dx.doi.org/10.1186/s12879-020-05306-x |
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