Cargando…
Risk factors of severe cases with COVID-19: a meta-analysis
Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-a...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438625/ https://www.ncbi.nlm.nih.gov/pubmed/32782035 http://dx.doi.org/10.1017/S095026882000179X |
_version_ | 1783572828546662400 |
---|---|
author | Ou, Mingchun Zhu, Jieyun Ji, Pan Li, Hongyuan Zhong, Zhimei Li, Bocheng Pang, Jielong Zhang, Jianfeng Zheng, Xiaowen |
author_facet | Ou, Mingchun Zhu, Jieyun Ji, Pan Li, Hongyuan Zhong, Zhimei Li, Bocheng Pang, Jielong Zhang, Jianfeng Zheng, Xiaowen |
author_sort | Ou, Mingchun |
collection | PubMed |
description | Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-analysed 40 studies involving 5872 COVID-19 patients. The average age was higher in severe COVID-19 patients (weighted mean difference; WMD = 10.69, 95%CI 7.83–13.54). Patients with severe disease showed significantly lower platelet count (WMD = −18.63, 95%CI −30.86 to −6.40) and lymphocyte count (WMD = −0.35, 95%CI −0.41 to −0.30) but higher C-reactive protein (CRP; WMD = 42.7, 95%CI 31.12–54.28), lactate dehydrogenase (LDH; WMD = 137.4, 95%CI 105.5–169.3), white blood cell count(WBC), procalcitonin(PCT), D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and creatinine(Cr). Similarly, patients who died showed significantly higher WBC, D-dimer, ALT, AST and Cr but similar platelet count and LDH as patients who survived. These results indicate that older age, low platelet count, lymphopenia, elevated levels of LDH, ALT, AST, PCT, Cr and D-dimer are associated with severity of COVID-19 and thus could be used as early identification or even prediction of disease progression. |
format | Online Article Text |
id | pubmed-7438625 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74386252020-08-24 Risk factors of severe cases with COVID-19: a meta-analysis Ou, Mingchun Zhu, Jieyun Ji, Pan Li, Hongyuan Zhong, Zhimei Li, Bocheng Pang, Jielong Zhang, Jianfeng Zheng, Xiaowen Epidemiol Infect Original Paper Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-analysed 40 studies involving 5872 COVID-19 patients. The average age was higher in severe COVID-19 patients (weighted mean difference; WMD = 10.69, 95%CI 7.83–13.54). Patients with severe disease showed significantly lower platelet count (WMD = −18.63, 95%CI −30.86 to −6.40) and lymphocyte count (WMD = −0.35, 95%CI −0.41 to −0.30) but higher C-reactive protein (CRP; WMD = 42.7, 95%CI 31.12–54.28), lactate dehydrogenase (LDH; WMD = 137.4, 95%CI 105.5–169.3), white blood cell count(WBC), procalcitonin(PCT), D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and creatinine(Cr). Similarly, patients who died showed significantly higher WBC, D-dimer, ALT, AST and Cr but similar platelet count and LDH as patients who survived. These results indicate that older age, low platelet count, lymphopenia, elevated levels of LDH, ALT, AST, PCT, Cr and D-dimer are associated with severity of COVID-19 and thus could be used as early identification or even prediction of disease progression. Cambridge University Press 2020-08-12 /pmc/articles/PMC7438625/ /pubmed/32782035 http://dx.doi.org/10.1017/S095026882000179X Text en © The Author(s) 2020 http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Ou, Mingchun Zhu, Jieyun Ji, Pan Li, Hongyuan Zhong, Zhimei Li, Bocheng Pang, Jielong Zhang, Jianfeng Zheng, Xiaowen Risk factors of severe cases with COVID-19: a meta-analysis |
title | Risk factors of severe cases with COVID-19: a meta-analysis |
title_full | Risk factors of severe cases with COVID-19: a meta-analysis |
title_fullStr | Risk factors of severe cases with COVID-19: a meta-analysis |
title_full_unstemmed | Risk factors of severe cases with COVID-19: a meta-analysis |
title_short | Risk factors of severe cases with COVID-19: a meta-analysis |
title_sort | risk factors of severe cases with covid-19: a meta-analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438625/ https://www.ncbi.nlm.nih.gov/pubmed/32782035 http://dx.doi.org/10.1017/S095026882000179X |
work_keys_str_mv | AT oumingchun riskfactorsofseverecaseswithcovid19ametaanalysis AT zhujieyun riskfactorsofseverecaseswithcovid19ametaanalysis AT jipan riskfactorsofseverecaseswithcovid19ametaanalysis AT lihongyuan riskfactorsofseverecaseswithcovid19ametaanalysis AT zhongzhimei riskfactorsofseverecaseswithcovid19ametaanalysis AT libocheng riskfactorsofseverecaseswithcovid19ametaanalysis AT pangjielong riskfactorsofseverecaseswithcovid19ametaanalysis AT zhangjianfeng riskfactorsofseverecaseswithcovid19ametaanalysis AT zhengxiaowen riskfactorsofseverecaseswithcovid19ametaanalysis |