Predictors of Coronavirus Disease 2019 Severity: A Retrospective Study of 64 Cases.
Jpn J Infect Dis
; 74(1): 54-60, 2021 Jan 22.
Article
in English
| MEDLINE | ID: covidwho-693628
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Severity of Illness Index
/
SARS-CoV-2
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Asia
Language:
English
Journal:
Jpn J Infect Dis
Journal subject:
Communicable Diseases
Year:
2021
Document Type:
Article
Affiliation country:
Yoken.JJID.2020.298
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