tetano
Editor, Senior Moderator
J Med Virol
. 2020 May 21.
doi: 10.1002/jmv.26031. Online ahead of print.
The Value of Clinical Parameters in Predicting the Severity of COVID-19
Weifeng Shang[SUP] 1 [/SUP], Junwu Dong[SUP] 1 [/SUP], Yali Ren[SUP] 2 [/SUP], Ming Tian[SUP] 1 [/SUP], Wei Li[SUP] 1 [/SUP], Jianwu Hu[SUP] 3 [/SUP], Yuanyuan Li[SUP] 3 [/SUP]
Affiliations
Abstract
Objective: To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVID-19), and to explore its role in predicting the severity of COVID-19.
Methods: Clinical data of 443 patients with COVID-19 admitted to our hospital were retrospectively analyzed, which were divided into non-severe group (n=304) and severe group (n=139) according to their condition. Clinical indicators were compared between different groups.
Results: The differences in gender, age, the proportion of patients with combined heart disease, leukocyte, neutrophil-to-lymphocyte ratio (NLR), neutrophil, lymphocyte, platelet, D-dimer, C-reactive protein (CRP), procalcitonin, lactate dehydrogenase and albumin on admission between the two groups were statistically significant (p<0.05). Multivariate logistic regression analysis showed NLR and CRP were independent risk factors for severe COVID-19. Platelets were independent protective factors for severe COVID-19. Receiver Operating Characteristic (ROC) curve analysis demonstrated area under the curve (AUC) of NLR, platelet, CRP and combination was 0.737, 0.634, 0.734 and 0.774, respectively.
Conclusions: NLR, CRP and platelets can effectively assess the severity of COVID-19, among which NLR is the best predictor of severe COVID-19, and the combination of three clinical indicators can further predict severe COVID-19. This article is protected by copyright. All rights reserved.
Keywords: COVID-19; clinical characteristics; coronavirus disease 2019; novel coronavirus pneumonia.
This article is protected by copyright. All rights reserved.
. 2020 May 21.
doi: 10.1002/jmv.26031. Online ahead of print.
The Value of Clinical Parameters in Predicting the Severity of COVID-19
Weifeng Shang[SUP] 1 [/SUP], Junwu Dong[SUP] 1 [/SUP], Yali Ren[SUP] 2 [/SUP], Ming Tian[SUP] 1 [/SUP], Wei Li[SUP] 1 [/SUP], Jianwu Hu[SUP] 3 [/SUP], Yuanyuan Li[SUP] 3 [/SUP]
Affiliations
- PMID: 32436996
- DOI: 10.1002/jmv.26031
Abstract
Objective: To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVID-19), and to explore its role in predicting the severity of COVID-19.
Methods: Clinical data of 443 patients with COVID-19 admitted to our hospital were retrospectively analyzed, which were divided into non-severe group (n=304) and severe group (n=139) according to their condition. Clinical indicators were compared between different groups.
Results: The differences in gender, age, the proportion of patients with combined heart disease, leukocyte, neutrophil-to-lymphocyte ratio (NLR), neutrophil, lymphocyte, platelet, D-dimer, C-reactive protein (CRP), procalcitonin, lactate dehydrogenase and albumin on admission between the two groups were statistically significant (p<0.05). Multivariate logistic regression analysis showed NLR and CRP were independent risk factors for severe COVID-19. Platelets were independent protective factors for severe COVID-19. Receiver Operating Characteristic (ROC) curve analysis demonstrated area under the curve (AUC) of NLR, platelet, CRP and combination was 0.737, 0.634, 0.734 and 0.774, respectively.
Conclusions: NLR, CRP and platelets can effectively assess the severity of COVID-19, among which NLR is the best predictor of severe COVID-19, and the combination of three clinical indicators can further predict severe COVID-19. This article is protected by copyright. All rights reserved.
Keywords: COVID-19; clinical characteristics; coronavirus disease 2019; novel coronavirus pneumonia.
This article is protected by copyright. All rights reserved.