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• W3026008037 abstract "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 / m2, 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." @default.
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• W3026008037 date "2020-05-01" @default.
• W3026008037 modified "2023-09-23" @default.
• W3026008037 title "Predicting Illness Severity and Short-Term Outcomes of COVID-19: A Retrospective Cohort Study in China" @default.
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• W3026008037 doi "https://doi.org/10.1016/j.xinn.2020.04.007" @default.
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