The outbreak of coronavirus disease 2019 (COVID-19) has become a world-wide emergency. The severity of COVID-19 is highly correlated with its mortality rate. We aimed to disclose the clinical characteristics and prognostic factors of COVID-19 patients who developed severe COVID-19. The study enrolled cases (no=1848) with mild or moderate type of COVID-19 in Fangcang shelter hospital of Jianghan. A total of 56 patients progressed from mild or moderate to severe. We used least absolute shrinkage and selection operator regression model to select prognostic factors for this model. The case-severity rate was 3.6% in the shelter hospital. They were all symptomatic at admission. Fever, cough, and fatigue were the most common symptoms. Hypertension, diabetes and coronary heart diseases were common co-morbidities. Predictors contained in the prediction nomogram included fever, distribution of peak temperature (>38°C), myalgia or arthralgia and distribution of C-reactive protein (≥10 mg per L). The distribution of peak temperature (>38°C) on set, myalgia or arthralgia and C-reactive protein (≥10 mg per L) were the prognostic factors to identify the progression of COVID-19 patients with mild or moderate type. Early attention to these risk factors will help alleviate the progress of the COVID-19.
【저자키워드】 COVID-19, Clinical characteristics, nomogram, Prognostic factors, 【초록키워드】 coronavirus disease, severe COVID-19, fatigue, hospital, C-reactive protein, progression, risk factor, cough, Symptoms, outbreak, severity of COVID-19, symptomatic, Regression model, Fever, Patient, Mild, temperature, mortality rate, distribution, Admission, moderate, co-morbidities, Coronary heart disease, COVID-19 patient, myalgia, Prognostic factor, help, arthralgia, operator, enrolled, identify, correlated, diabete, alleviate, progressed, 【제목키워드】 progression, Characteristics, clinical, retrospective, COVID-19 patient, Prognostic factor,