Author: Chen, Chuming; Wang, Haihui; Liang, Zhichao; Peng, Ling; Zhao, Fang; Yang, Liuqing; Cao, Mengli; Wu, Weibo; Jiang, Xiao; Zhang, Peiyan; Li, Yinfeng; Chen, Li; Feng, Shiyan; Li, Jianming; Meng, Lingxiang; Wu, Huishan; Wang, Fuxiang; Liu, Quanying; Liu, Yingxia
Title: Predicting Illness Severity and Short-Term Outcomes of COVID-19: A Retrospective Cohort Study in China Cord-id: jkmtpin4 Document date: 2020_5_21
ID: jkmtpin4
Snippet: Among 417 COVID-19 patients in Shenzhen, demographic characteristics, clinical manifestations and baseline laboratory tests showed significant differences between mild-moderate cohort and severe-critical cohort.Based on these differences, a convenient mathematical model was established to predict the illness severity of COVID-19. The model includes four parameters: age, BMI, CD4(+) lymphocytes and IL-6 levels. The AUC of the model is 0.911.The high risk factors for developing to severe COVID-19
Document: Among 417 COVID-19 patients in Shenzhen, demographic characteristics, clinical manifestations and baseline laboratory tests showed significant differences between mild-moderate cohort and severe-critical cohort.Based on these differences, a convenient mathematical model was established to predict the illness severity of COVID-19. The model includes four parameters: age, BMI, CD4(+) lymphocytes and IL-6 levels. The AUC of the model is 0.911.The high risk factors for developing to severe COVID-19 are: age ≥ 55 years, BMI > 27 kg / m(2), IL-6 ≥ 20 pg / ml, CD4(+) T cell ≤ 400 count / μ L.Among 249 discharged COVID-19 patients, those who recovered after 20 days had a lower count of platelet, a higher level of estimated glomerular filtration rate, and higher level of interleukin-6 and myoglobin than those who recovered within 20 days.
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