Could we predict the prognosis of the COVID-19 disease?
COVID-19
SARS-CoV 2
novel coronavirus
pandemic
prognosis
Journal
Journal of medical virology
ISSN: 1096-9071
Titre abrégé: J Med Virol
Pays: United States
ID NLM: 7705876
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
08
10
2020
revised:
09
12
2020
accepted:
16
12
2020
pubmed:
29
12
2020
medline:
20
3
2021
entrez:
28
12
2020
Statut:
ppublish
Résumé
Coronavirus 2019 disease (COVID-19) lead to one of the pandemics of the last century. We aimed to predict poor prognosis among severe patients to lead early intervention. The data of 534 hospitalized patients were assessed retrospectively. Risk factors and laboratory tests that might enable the prediction of prognosis defined as being transferred to the intensive care unit and/or exitus have been investigated. At the admission, 398 of 534 patients (74.5%) were mild-moderate ill. It was determined that the male gender, advanced age, and comorbidity were risk factors for severity. To estimate the severity of the disease, receiver operating characteristic analysis revealed that the areas under the curve which were determined based on the optimal cut off values that were calculated for the variables of values of neutrophil to lymphocyte ratio (NLR > 3.69), C-reactive protein (CRP > 46 mg/L), troponin I ( > 5.3 ng/L), lactate dehydrogenase (LDH > 325 U/L), ferritin ( > 303 ug/L), d-dimer ( > 574 μg/L), neutrophil NE ( > 4.99 × 10 The clinical progress could be severe if the baseline values of NLR, CRP, troponin I, LDH, are above, and LE is below the specified cut-off point. We found that the troponin I, elder age, and SO
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2420-2430Informations de copyright
© 2020 Wiley Periodicals LLC.
Références
Wu F, Zhao S, Yu B, et al. A new coronavirus associated with human respiratory disease in China. Nature. 2020;579(7798):265-269. https://doi.org/10.1038/s41586-020-2008-3
Zhou P, Yang X-L, Wang X-G, et al. Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin [published online ahead of print January 23, 2020]. BioRxiv. 2020. https://doi.org/10.1101/2020.01.22.914952
Cucinotta D. WHO declares COVID-19 a pandemic. Acta Biomed. 2020;19(1):157-160. https://doi.org/10.23750/abm.v91i1.9397
Coronavirus Disease (COVID-19) Situation Report-121 Highlights.
Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
Clinical Management of COVID-19. https://www.who.int/publications/i/item/clinical-management-of-covid-19. Accessed August 30, 2020.
Zhou F, Yu T, Du R, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395(10229):1054-1062. https://doi.org/10.1016/S0140-6736(20)30566-3
Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-513. https://doi.org/10.1016/S0140-6736(20)30211-7
Jordan RE, Adab P, Cheng KK. COVID-19: risk factors for severe disease and death. BMJ. 2020:368. https://doi.org/10.1136/bmj.m1198
Fang L, Karakiulakis G, Roth M. Are patients with hypertension and diabetes mellitus at increased risk for COVID-19 infection? Lancet Respir Med. 2020;8(4):e21. https://doi.org/10.1016/S2213-2600(20)30116-8
Liu S, Zhang M, Yang L, et al. Prevalence and patterns of tobacco smoking among Chinese adult men and women: Findings of the 2010 national smoking survey. J Epidemiol Community Health. 2017;71(2):154-161. https://doi.org/10.1136/jech-2016-207805
Liu M, Han S, Liao Q, et al. Outcomes and prognostic factors in 70 non-survivors and 595 survivors with COVID-19 in Wuhan, China. SSRN Electron J. 2020. https://doi.org/10.2139/ssrn.3572885
Liu J, Tu C, Zhu M, et al. Exploring the law of development and prognostic factors of common and severe COVID-19: a retrospective case-control study in 122 patients with complete course of disease. SSRN Electron J. 2020. https://doi.org/10.2139/ssrn.3555209
Li X, Xu S, Yu M, et al. Risk factors for severity and mortality in adult COVID-19 inpatients in Wuhan. J Allergy Clin Immunol. 2020;146(version 5):1-9. https://doi.org/10.1016/j.jaci.2020.04.006
Huang Y, Lyu X, Li D, et al. A cohort study of 223 patients explores the clinical risk factors for the severity diagnosis of COVID-19 [published online ahead of print April 18, 2020]. medRxiv. 2020. https://doi.org/10.1101/2020.04.18.20070656
Cao W. Clinical features and laboratory inspection of novel coronavirus pneumonia (COVID-19) in Xiangyang, Hubei [published online ahead of print February 23, 2020]. medRxiv. 2020. https://doi.org/10.1101/2020.02.23.20026963
Gao Y, Li T, Han M, et al. Diagnostic utility of clinical laboratory data determinations for patients with the severe COVID-19. J Med Virol. 2020;92(7):791-796. https://doi.org/10.1002/jmv.25770
Wang M, Zhu Q, Fu J, Liu L, Xiao M, Du Y. Since January Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID- 19. The COVID-19 resource centre is hosted on Elsevier Connect, the company' s public news and information; 2020.
Li X, Wang L, Yan S, et al. Clinical characteristics of 25 death cases with COVID-19: A retrospective review of medical records in a single medical center, Wuhan, China. Int J Infect Dis. 2020;94:128-132. https://doi.org/10.1016/j.ijid.2020.03.053