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Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China

BACKGROUND: Chest computed tomography (CT) has been widely used to assess pulmonary involvement in COVID-19. We aimed to investigate the correlation between chest CT and clinical features in COVID-19 suspected patients with or without fever. METHODS: We retrospectively enrolled 211 COVID-19 suspecte...

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Autores principales: Song, Songlin, Wu, Feihong, Liu, Yiming, Jiang, Hongwei, Xiong, Fu, Guo, Xiaopeng, Zhang, Hongsen, Zheng, Chuansheng, Yang, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239186/
https://www.ncbi.nlm.nih.gov/pubmed/32518804
http://dx.doi.org/10.1093/ofid/ofaa171
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author Song, Songlin
Wu, Feihong
Liu, Yiming
Jiang, Hongwei
Xiong, Fu
Guo, Xiaopeng
Zhang, Hongsen
Zheng, Chuansheng
Yang, Fan
author_facet Song, Songlin
Wu, Feihong
Liu, Yiming
Jiang, Hongwei
Xiong, Fu
Guo, Xiaopeng
Zhang, Hongsen
Zheng, Chuansheng
Yang, Fan
author_sort Song, Songlin
collection PubMed
description BACKGROUND: Chest computed tomography (CT) has been widely used to assess pulmonary involvement in COVID-19. We aimed to investigate the correlation between chest CT and clinical features in COVID-19 suspected patients with or without fever. METHODS: We retrospectively enrolled 211 COVID-19 suspected patients who underwent both chest CT and reverse transcription polymerase chain reaction in Wuhan, China. The performance of CT in patients with relevant onset of symptoms, with fever (n = 141) and without fever (n = 70), was assessed respectively. RESULTS: The sensitivity of CT for COVID-19 was 97.3%, with area under the curve (AUC) of 0.71 (95% confidence interval [CI], 0.66–0.76). There were 141 suspected patients with fever and 70 without fever. In the fever group, 4 variables were screened to establish the basic model: age, monocyte, red blood cell, and hypertension. The AUC of the basic model was 0.72 (95% CI, 0.63–0.81), while the AUC of the CT-aided model was 0.77 (95% CI, 0.68–0.85), a significant difference (P < .05). In the nonfever group, only dry cough was screened out to establish the basic model. The AUC was 0.76 (95% CI, 0.64–0.88), which was not significantly different than the CT-aided model (P = .08). CONCLUSIONS: Chest CT has a high sensitivity in patients with COVID-19, and it can improve diagnostic accuracy for COVID-19 suspected patients with fever during the initial screen, whereas its value for nonfever patients remains questionable.
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spelling pubmed-72391862020-05-28 Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China Song, Songlin Wu, Feihong Liu, Yiming Jiang, Hongwei Xiong, Fu Guo, Xiaopeng Zhang, Hongsen Zheng, Chuansheng Yang, Fan Open Forum Infect Dis Major Article BACKGROUND: Chest computed tomography (CT) has been widely used to assess pulmonary involvement in COVID-19. We aimed to investigate the correlation between chest CT and clinical features in COVID-19 suspected patients with or without fever. METHODS: We retrospectively enrolled 211 COVID-19 suspected patients who underwent both chest CT and reverse transcription polymerase chain reaction in Wuhan, China. The performance of CT in patients with relevant onset of symptoms, with fever (n = 141) and without fever (n = 70), was assessed respectively. RESULTS: The sensitivity of CT for COVID-19 was 97.3%, with area under the curve (AUC) of 0.71 (95% confidence interval [CI], 0.66–0.76). There were 141 suspected patients with fever and 70 without fever. In the fever group, 4 variables were screened to establish the basic model: age, monocyte, red blood cell, and hypertension. The AUC of the basic model was 0.72 (95% CI, 0.63–0.81), while the AUC of the CT-aided model was 0.77 (95% CI, 0.68–0.85), a significant difference (P < .05). In the nonfever group, only dry cough was screened out to establish the basic model. The AUC was 0.76 (95% CI, 0.64–0.88), which was not significantly different than the CT-aided model (P = .08). CONCLUSIONS: Chest CT has a high sensitivity in patients with COVID-19, and it can improve diagnostic accuracy for COVID-19 suspected patients with fever during the initial screen, whereas its value for nonfever patients remains questionable. Oxford University Press 2020-05-16 /pmc/articles/PMC7239186/ /pubmed/32518804 http://dx.doi.org/10.1093/ofid/ofaa171 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Major Article
Song, Songlin
Wu, Feihong
Liu, Yiming
Jiang, Hongwei
Xiong, Fu
Guo, Xiaopeng
Zhang, Hongsen
Zheng, Chuansheng
Yang, Fan
Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China
title Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China
title_full Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China
title_fullStr Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China
title_full_unstemmed Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China
title_short Correlation Between Chest CT Findings and Clinical Features of 211 COVID-19 Suspected Patients in Wuhan, China
title_sort correlation between chest ct findings and clinical features of 211 covid-19 suspected patients in wuhan, china
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239186/
https://www.ncbi.nlm.nih.gov/pubmed/32518804
http://dx.doi.org/10.1093/ofid/ofaa171
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