Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Base de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Med J Islam Repub Iran ; 37: 14, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37123345

RESUMO

Background: COVID-19 has become the greatest pandemic of the century. Considering the role of some hematologic and biochemical factors and their alterations due to the activity of the immune system, the current study aimed to evaluate LDH/CRP/ESR/RDW in patients with COVID-19 and their relationship with the severity of lung involvement based on CT scan findings. Methods: In this cross-sectional study, some biomarkers (LDH/CRP/ESR/RDW) were measured in 158 patients who were admitted to the intensive care unit (ICU) or hospitalized in the infectious diseases ward of Rasoul-e-Akram and Firoozgar hospitals or attended to the outpatient clinics. The diagnosis was confirmed by a positive RT-PCR test in all patients. The severity of lung involvement was determined by CT scan findings for comparison. Data were collected and analyzed through SPSS version 22. Results: Regarding the severity of lung damage according to the CT scan, 17.7% of the patients were normal, 19% had less than 25% involvement, 17% had 25% -50% involvement, 33.5% had 50% -75% involvement, and 12% had more than 75% involvement. Considering the increasing severity of lung damage based on CT scans, the levels of RDW, ESR, CRP, and LDH significantly increased in parallel. The diagnostic value of RDW (cut-off point: 12.6, Sen: 73.1% (95%CI: 65.1-79.5), Sp: 53.6% (95%CI: 45.7-61.7), ESR (cut-off point: 49, Sen: 46.9% (95%CI: 38.2-54.5)), Sp: 85.7% (95%CI: 789.-90.5)), CRP (cut-off point: 23, Sen: 62.8% (95%CI: 54.6-70.4), Sp: 77.7% (95%CI: 70.3-84.1)) and LDH (cut-off point: 550, Sen: 65.1% (95%CI: 57.2-72.5), Sp: 85.7% (95%CI: 78.9-90.5)) were significant in diagnosing the severity of lung involvement (P < 0.05). Conclusion: The use of RDW, ESR, CRP, and LDH biomarkers could be effective in predicting the severity of lung damage in patients with COVID-19.

SELEÇÃO DE REFERÊNCIAS
Detalhe da pesquisa