Predictors of Coronavirus Disease 2019 Severity: A Retrospective Study of 64 Cases

Jpn J Infect Dis. 2021 Jan 22;74(1):54-60. doi: 10.7883/yoken.JJID.2020.298. Epub 2020 Aug 1.

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: COVID-19; non-severe; predictors; severe.

MeSH terms

  • Adult
  • Aged
  • COVID-19 / diagnosis*
  • COVID-19 / epidemiology
  • COVID-19 / pathology*
  • COVID-19 Drug Treatment
  • China / epidemiology
  • Female
  • Glucocorticoids / therapeutic use
  • Humans
  • Male
  • Middle Aged
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2*
  • Severity of Illness Index*

Substances

  • Glucocorticoids