Cargando…
Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study
The outbreak of coronavirus disease 2019 (COVID-19) has become a world-wide emergency. The severity of COVID-19 is highly correlated with its mortality rate. We aimed to disclose the clinical characteristics and prognostic factors of COVID-19 patients who developed severe COVID-19. The study enrolle...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732300/ https://www.ncbi.nlm.nih.gov/pubmed/33052140 http://dx.doi.org/10.18632/aging.103931 |
_version_ | 1783622062793818112 |
---|---|
author | Liao, Yunfei Feng, Yong Wang, Bo Wang, Hanyu Huang, Jinsha Wu, Yaxin Wu, Ziling Chen, Xiao Yang, Chao Fu, Xinqiao Sun, Hui |
author_facet | Liao, Yunfei Feng, Yong Wang, Bo Wang, Hanyu Huang, Jinsha Wu, Yaxin Wu, Ziling Chen, Xiao Yang, Chao Fu, Xinqiao Sun, Hui |
author_sort | Liao, Yunfei |
collection | PubMed |
description | The outbreak of coronavirus disease 2019 (COVID-19) has become a world-wide emergency. The severity of COVID-19 is highly correlated with its mortality rate. We aimed to disclose the clinical characteristics and prognostic factors of COVID-19 patients who developed severe COVID-19. The study enrolled cases (no=1848) with mild or moderate type of COVID-19 in Fangcang shelter hospital of Jianghan. A total of 56 patients progressed from mild or moderate to severe. We used least absolute shrinkage and selection operator regression model to select prognostic factors for this model. The case-severity rate was 3.6% in the shelter hospital. They were all symptomatic at admission. Fever, cough, and fatigue were the most common symptoms. Hypertension, diabetes and coronary heart diseases were common co-morbidities. Predictors contained in the prediction nomogram included fever, distribution of peak temperature (>38°C), myalgia or arthralgia and distribution of C-reactive protein (≥10 mg per L). The distribution of peak temperature (>38°C) on set, myalgia or arthralgia and C-reactive protein (≥10 mg per L) were the prognostic factors to identify the progression of COVID-19 patients with mild or moderate type. Early attention to these risk factors will help alleviate the progress of the COVID-19. |
format | Online Article Text |
id | pubmed-7732300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-77323002020-12-18 Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study Liao, Yunfei Feng, Yong Wang, Bo Wang, Hanyu Huang, Jinsha Wu, Yaxin Wu, Ziling Chen, Xiao Yang, Chao Fu, Xinqiao Sun, Hui Aging (Albany NY) Research Paper The outbreak of coronavirus disease 2019 (COVID-19) has become a world-wide emergency. The severity of COVID-19 is highly correlated with its mortality rate. We aimed to disclose the clinical characteristics and prognostic factors of COVID-19 patients who developed severe COVID-19. The study enrolled cases (no=1848) with mild or moderate type of COVID-19 in Fangcang shelter hospital of Jianghan. A total of 56 patients progressed from mild or moderate to severe. We used least absolute shrinkage and selection operator regression model to select prognostic factors for this model. The case-severity rate was 3.6% in the shelter hospital. They were all symptomatic at admission. Fever, cough, and fatigue were the most common symptoms. Hypertension, diabetes and coronary heart diseases were common co-morbidities. Predictors contained in the prediction nomogram included fever, distribution of peak temperature (>38°C), myalgia or arthralgia and distribution of C-reactive protein (≥10 mg per L). The distribution of peak temperature (>38°C) on set, myalgia or arthralgia and C-reactive protein (≥10 mg per L) were the prognostic factors to identify the progression of COVID-19 patients with mild or moderate type. Early attention to these risk factors will help alleviate the progress of the COVID-19. Impact Journals 2020-10-14 /pmc/articles/PMC7732300/ /pubmed/33052140 http://dx.doi.org/10.18632/aging.103931 Text en Copyright: © 2020 Liao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liao, Yunfei Feng, Yong Wang, Bo Wang, Hanyu Huang, Jinsha Wu, Yaxin Wu, Ziling Chen, Xiao Yang, Chao Fu, Xinqiao Sun, Hui Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study |
title | Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study |
title_full | Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study |
title_fullStr | Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study |
title_full_unstemmed | Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study |
title_short | Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study |
title_sort | clinical characteristics and prognostic factors of covid-19 patients progression to severe: a retrospective, observational study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732300/ https://www.ncbi.nlm.nih.gov/pubmed/33052140 http://dx.doi.org/10.18632/aging.103931 |
work_keys_str_mv | AT liaoyunfei clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT fengyong clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT wangbo clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT wanghanyu clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT huangjinsha clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT wuyaxin clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT wuziling clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT chenxiao clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT yangchao clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT fuxinqiao clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy AT sunhui clinicalcharacteristicsandprognosticfactorsofcovid19patientsprogressiontoseverearetrospectiveobservationalstudy |