The Association of lymphocyte count, CRP, D-Dimer, and LDH with severe coronavirus disease 2019 (COVID-19): A meta-analysis
Sudan j. med. sci
; 15(2): 9-21, 2020. ilus
Artigo
em Inglês
| AIM
| ID: biblio-1272314
Biblioteca responsável:
CG1.1
ABSTRACT
Background:
The rapid progression of Coronavirus disease 2019 (COVID-19) and its increasing burden on health systems necessitate the identification of parameters of severe infection to help in monitoring, prognoses and development of treatment algorithms.Objectives:
This review aims to investigate the association of lymphocyte count, CRP, LDH, and D-Dimer with the severity of COVID-19.Methods:
This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The databases of MEDLINE/PubMed, WHO-Virtual Health Library (VHL), and ScienceDirect were used for the systematic search. Random effects model was used to estimate the pooled standardized mean differences (SMD) with the corresponding 95% confidence interval (CI), using OpenMeta Analyst software.Results:
A total of 11 studies, with 2437 COVID-19 patients, which fulfilled the eligibility criteria were included in the meta-analysis. The analysis revealed that lymphocyte count was significantly lower in patients with the severe form of COVID-19 (SMD = - 1.025, P value <.001). Also, the analysis of SMD showed that patients with severe COVID-19 have a significantly higher serum levels of CRP (SMD = 3.363, P value <.001), D-Dimer (SMD = 1.073, P value <.001), and LDH (SMD = 3.345, P value <.001).Conclusion:
Low lymphocyte count and high levels of CRP, LDH, and D-Dimer are associated with severe COVID-19. These laboratory markers could be used as clinical indicators of worsening illness and poor prognosis of COVID-19
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AIM (África)
Assunto principal:
Infecções por Coronavirus
/
Contagem de Linfócitos
/
Progressão da Doença
/
Síndrome Respiratória Aguda Grave
/
COVID-19
Tipo de estudo:
Guia de Prática Clínica
/
Estudo prognóstico
/
Fatores de risco
/
Revisões Sistemáticas Avaliadas
Idioma:
Inglês
Revista:
Sudan j. med. sci
Ano de publicação:
2020
Tipo de documento:
Artigo
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