Predictors of Coronavirus Disease 2019 Severity: A Retrospective Study of 64 Cases
Huihuang Huang, Bing Song, Zhe Xu, Yan‐Mei Jiao, Lei Huang, Peng Zhao, Jiagan Huang, Zihan Zhou, Zhuanghong Zhao, Jing Tian, Yuting Zhou, Fu‐Sheng Wang, Tianjun Jiang
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.