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Symptoms at disease onset predict prognosis in COVID-19 disease
The main clinical manifestations of coronavirus disease 2019 (COVID-19) onset are respiratory symptoms, including cough, sputum, and dyspnea. However, a significant proportion of patients initially manifested non-respiratory symptoms, such as fever, myalgia, and diarrhea. Here, we compared the diffe...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725726/ https://www.ncbi.nlm.nih.gov/pubmed/34931582 http://dx.doi.org/10.1080/19932820.2021.2010338 |
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author | Zhou, Aiyuan Song, Qing Peng, Yating Liao, Xin Huang, Peng Liu, Wenlong Xiang, Zhi Liu, Qimi Jiang, Mingyan Xiang, Xudong Deng, Dingding Chen, Ping |
author_facet | Zhou, Aiyuan Song, Qing Peng, Yating Liao, Xin Huang, Peng Liu, Wenlong Xiang, Zhi Liu, Qimi Jiang, Mingyan Xiang, Xudong Deng, Dingding Chen, Ping |
author_sort | Zhou, Aiyuan |
collection | PubMed |
description | The main clinical manifestations of coronavirus disease 2019 (COVID-19) onset are respiratory symptoms, including cough, sputum, and dyspnea. However, a significant proportion of patients initially manifested non-respiratory symptoms, such as fever, myalgia, and diarrhea. Here, we compared the different characteristics and outcomes between the patients with respiratory symptoms and non-respiratory symptoms at illness onset. The patients admitted to the respiratory departments from eight hospitals in Hunan and Guangxi Province with nucleic acid-positive severe acute respiratory syndrome coronavirus (SARS-CoV-2) were recruited. Epidemiological information, clinical manifestations, laboratory findings, and radiological characteristics, treatment regimens, and outcomes data were recorded and analyzed. The median age of the recruited 541 subjects was 43 years (IQR, 33–55). Of the 541 subjects, 404 (74.5%) subjects had initial symptom that were respiratory, while 137 (25.5%) subjects had non-respiratory symptoms. Respiratory COVID-19 subjects had more secondary bacterial infections (8.7% vs 0.0%, P < 0.001), needed the intensive care unit more (9.7% vs 2.2%, P = 0.005), non-invasive ventilation more (7.2% vs 1.5%, P = 0.004), developed ARDS more (11.4% vs 2.2%, P = 0.001) and needed longer time to recover (18.5 vs 16.7 days, P = 0.003) compared to predominately non-respiratory COVID-19 subjects. The multivariate model showed that age (OR = 1.04, P = 0.01), dyspnea (OR = 4.91, P < 0.001) and secondary bacterial infection (OR = 19.8, P < 0.001) were independently associated with development of ARDS among COVID-19 patients. We identify COVID-19 subjects with dyspnea at disease onset who have a worse prognosis. We also demonstrate age and secondary bacterial infections to be independently associated with ARDS development in subjects with COVID-19. ABBREVIATIONS: COVID-19: Coronavirus disease 2019; ARDS: acute respiratory distress syndrome; IQR: interquartile range; ICU: intensive care unit; CDC: Chinese Center for Disease Control and Prevention. |
format | Online Article Text |
id | pubmed-8725726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-87257262022-01-05 Symptoms at disease onset predict prognosis in COVID-19 disease Zhou, Aiyuan Song, Qing Peng, Yating Liao, Xin Huang, Peng Liu, Wenlong Xiang, Zhi Liu, Qimi Jiang, Mingyan Xiang, Xudong Deng, Dingding Chen, Ping Libyan J Med Original Article The main clinical manifestations of coronavirus disease 2019 (COVID-19) onset are respiratory symptoms, including cough, sputum, and dyspnea. However, a significant proportion of patients initially manifested non-respiratory symptoms, such as fever, myalgia, and diarrhea. Here, we compared the different characteristics and outcomes between the patients with respiratory symptoms and non-respiratory symptoms at illness onset. The patients admitted to the respiratory departments from eight hospitals in Hunan and Guangxi Province with nucleic acid-positive severe acute respiratory syndrome coronavirus (SARS-CoV-2) were recruited. Epidemiological information, clinical manifestations, laboratory findings, and radiological characteristics, treatment regimens, and outcomes data were recorded and analyzed. The median age of the recruited 541 subjects was 43 years (IQR, 33–55). Of the 541 subjects, 404 (74.5%) subjects had initial symptom that were respiratory, while 137 (25.5%) subjects had non-respiratory symptoms. Respiratory COVID-19 subjects had more secondary bacterial infections (8.7% vs 0.0%, P < 0.001), needed the intensive care unit more (9.7% vs 2.2%, P = 0.005), non-invasive ventilation more (7.2% vs 1.5%, P = 0.004), developed ARDS more (11.4% vs 2.2%, P = 0.001) and needed longer time to recover (18.5 vs 16.7 days, P = 0.003) compared to predominately non-respiratory COVID-19 subjects. The multivariate model showed that age (OR = 1.04, P = 0.01), dyspnea (OR = 4.91, P < 0.001) and secondary bacterial infection (OR = 19.8, P < 0.001) were independently associated with development of ARDS among COVID-19 patients. We identify COVID-19 subjects with dyspnea at disease onset who have a worse prognosis. We also demonstrate age and secondary bacterial infections to be independently associated with ARDS development in subjects with COVID-19. ABBREVIATIONS: COVID-19: Coronavirus disease 2019; ARDS: acute respiratory distress syndrome; IQR: interquartile range; ICU: intensive care unit; CDC: Chinese Center for Disease Control and Prevention. Taylor & Francis 2021-12-21 /pmc/articles/PMC8725726/ /pubmed/34931582 http://dx.doi.org/10.1080/19932820.2021.2010338 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Zhou, Aiyuan Song, Qing Peng, Yating Liao, Xin Huang, Peng Liu, Wenlong Xiang, Zhi Liu, Qimi Jiang, Mingyan Xiang, Xudong Deng, Dingding Chen, Ping Symptoms at disease onset predict prognosis in COVID-19 disease |
title | Symptoms at disease onset predict prognosis in COVID-19 disease |
title_full | Symptoms at disease onset predict prognosis in COVID-19 disease |
title_fullStr | Symptoms at disease onset predict prognosis in COVID-19 disease |
title_full_unstemmed | Symptoms at disease onset predict prognosis in COVID-19 disease |
title_short | Symptoms at disease onset predict prognosis in COVID-19 disease |
title_sort | symptoms at disease onset predict prognosis in covid-19 disease |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725726/ https://www.ncbi.nlm.nih.gov/pubmed/34931582 http://dx.doi.org/10.1080/19932820.2021.2010338 |
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