Cargando…

Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up

OBJECTIVE: Coronavirus disease 2019 (COVID-19) is currently the most serious infectious disease in the world. An accurate diagnosis of this disease in the clinic is very important. This study aims to improve the differential ability of computed tomography (CT) to diagnose COVID-19 and other communit...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Kai-Cai, Xu, Ping, Lv, Wei-Fu, Chen, Lei, Qiu, Xiao-Hui, Yao, Jin-Long, Gu, Jin-Feng, Hu, Bo, Wei, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447615/
https://www.ncbi.nlm.nih.gov/pubmed/32843064
http://dx.doi.org/10.1186/s40249-020-00737-9
_version_ 1783574337948745728
author Liu, Kai-Cai
Xu, Ping
Lv, Wei-Fu
Chen, Lei
Qiu, Xiao-Hui
Yao, Jin-Long
Gu, Jin-Feng
Hu, Bo
Wei, Wei
author_facet Liu, Kai-Cai
Xu, Ping
Lv, Wei-Fu
Chen, Lei
Qiu, Xiao-Hui
Yao, Jin-Long
Gu, Jin-Feng
Hu, Bo
Wei, Wei
author_sort Liu, Kai-Cai
collection PubMed
description OBJECTIVE: Coronavirus disease 2019 (COVID-19) is currently the most serious infectious disease in the world. An accurate diagnosis of this disease in the clinic is very important. This study aims to improve the differential ability of computed tomography (CT) to diagnose COVID-19 and other community-acquired pneumonias (CAPs) and evaluate the short-term prognosis of these patients. METHODS: The clinical and imaging data of 165 COVID-19 and 118 CAP patients diagnosed in seven hospitals in Anhui Province, China from January 21 to February 28, 2020 were retrospectively analysed. The CT manifestations of the two groups were recorded and compared. A correlation analysis was used to examine the relationship between COVID-19 and age, size of lung lesions, number of involved lobes, and CT findings of patients. The factors that were helpful in diagnosing the two groups of patients were identified based on specificity and sensitivity. RESULTS: The typical CT findings of COVID-19 are simple ground-glass opacities (GGO), GGO with consolidation or grid-like changes. The sensitivity and specificity of the combination of age, white blood cell count, and ground-glass opacity in the diagnosis of COVID-19 were 92.7 and 66.1%, respectively. Pulmonary consolidation, fibrous cords, and bronchial wall thickening were used as indicators to exclude COVID-19. The sensitivity and specificity of the combination of these findings were 78.0 and 63.6%, respectively. The follow-up results showed that 67.8% (112/165) of COVID-19 patients had abnormal changes in their lung parameters, and the severity of the pulmonary sequelae of patients over 60 years of age worsened with age. CONCLUSIONS: Age, white blood cell count and ground-glass opacity have high accuracy in the early diagnosis of COVID-19 and the differential diagnosis from CAP. Patients aged over 60 years with COVID-19 have a poor prognosis. This result provides certain significant guidance for the diagnosis and treatment of new coronavirus pneumonia.
format Online
Article
Text
id pubmed-7447615
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-74476152020-08-26 Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up Liu, Kai-Cai Xu, Ping Lv, Wei-Fu Chen, Lei Qiu, Xiao-Hui Yao, Jin-Long Gu, Jin-Feng Hu, Bo Wei, Wei Infect Dis Poverty Research Article OBJECTIVE: Coronavirus disease 2019 (COVID-19) is currently the most serious infectious disease in the world. An accurate diagnosis of this disease in the clinic is very important. This study aims to improve the differential ability of computed tomography (CT) to diagnose COVID-19 and other community-acquired pneumonias (CAPs) and evaluate the short-term prognosis of these patients. METHODS: The clinical and imaging data of 165 COVID-19 and 118 CAP patients diagnosed in seven hospitals in Anhui Province, China from January 21 to February 28, 2020 were retrospectively analysed. The CT manifestations of the two groups were recorded and compared. A correlation analysis was used to examine the relationship between COVID-19 and age, size of lung lesions, number of involved lobes, and CT findings of patients. The factors that were helpful in diagnosing the two groups of patients were identified based on specificity and sensitivity. RESULTS: The typical CT findings of COVID-19 are simple ground-glass opacities (GGO), GGO with consolidation or grid-like changes. The sensitivity and specificity of the combination of age, white blood cell count, and ground-glass opacity in the diagnosis of COVID-19 were 92.7 and 66.1%, respectively. Pulmonary consolidation, fibrous cords, and bronchial wall thickening were used as indicators to exclude COVID-19. The sensitivity and specificity of the combination of these findings were 78.0 and 63.6%, respectively. The follow-up results showed that 67.8% (112/165) of COVID-19 patients had abnormal changes in their lung parameters, and the severity of the pulmonary sequelae of patients over 60 years of age worsened with age. CONCLUSIONS: Age, white blood cell count and ground-glass opacity have high accuracy in the early diagnosis of COVID-19 and the differential diagnosis from CAP. Patients aged over 60 years with COVID-19 have a poor prognosis. This result provides certain significant guidance for the diagnosis and treatment of new coronavirus pneumonia. BioMed Central 2020-08-26 /pmc/articles/PMC7447615/ /pubmed/32843064 http://dx.doi.org/10.1186/s40249-020-00737-9 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
Liu, Kai-Cai
Xu, Ping
Lv, Wei-Fu
Chen, Lei
Qiu, Xiao-Hui
Yao, Jin-Long
Gu, Jin-Feng
Hu, Bo
Wei, Wei
Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
title Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
title_full Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
title_fullStr Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
title_full_unstemmed Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
title_short Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
title_sort differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7447615/
https://www.ncbi.nlm.nih.gov/pubmed/32843064
http://dx.doi.org/10.1186/s40249-020-00737-9
work_keys_str_mv AT liukaicai differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT xuping differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT lvweifu differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT chenlei differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT qiuxiaohui differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT yaojinlong differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT gujinfeng differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT hubo differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup
AT weiwei differentialdiagnosisofcoronavirusdisease2019fromcommunityacquiredpneumoniabycomputedtomographyscanandfollowup