Predictors of Coronavirus Disease 2019 Severity: A Retrospective Study of 64 Cases.
Jpn J Infect Dis
; 74(1): 54-60, 2021 Jan 22.
Article
em En
| MEDLINE
| ID: mdl-32741931
ABSTRACT
This study aimed to analyze the clinical characteristics and potential predictors of disease severity in patients with coronavirus disease 2019 (COVID-19). We retrospectively analyzed the clinical data from 64 (37 male and 27 female) patients with COVID-19. Their mean age was 47.8 years; 43 (67.2%) cases were non-severe, 21 (32.8%) were severe, and 2 patients (3.1%) died. Age and serum ferritin levels were significantly associated with COVID-19 severity. There were no significant differences in the duration of severe illness or the number of days on high-level respiratory support between the low-dose and high-dose methylprednisolone groups. The mean number of days in hospital in the high-dose group was higher than that in the low-dose group. Repeated monitoring of ferritin, interleukin-6, C-reactive protein, lactic acid dehydrogenase, and erythrocyte sedimentation rate during COVID-19 treatment may assist in the prediction of disease severity and evaluation of treatment effects.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Índice de Gravidade de Doença
/
SARS-CoV-2
/
COVID-19
Tipo de estudo:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
País como assunto:
Asia
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article