Background: Coronavirus disease 2019 (COVID-19) is a declared global pandemic, causing a lot of death. How to quickly screen risk population for severe patients is essential for decreasing the mortality. Methods: This retrospective study included all the 813 confirmed cases diagnosed with COVID-19 before March 2 nd , 2020 in a city of Hubei Province in China. Data of the COVID-19 patients including clinical and epidemiological features were collected through Chinese Disease Control and Prevention Information System. Predictors were selected by logistic regression, and then categoried to four different level risk factor. A screening tool for severe patient with COVID-19 was developed and tested by ROC curve. Results: Seven early predictors for severe patients with COVID-19 were selected, including chronic kidney disease ( OR =14.7), age above 60 ( OR =5.6), lymphocyte count less than <0.8 × 10 9 per L ( OR =2.5), Neutrophile to Lymphocyte Ratio larger than 4.7 ( OR =2.2), high fever with temperature ≥38.5℃ ( OR =2.2), male ( OR =2.2), cardiovascular related diseases ( OR =2.0). The Area Under the Curve of the screening tool developed by above seven predictors was 0.798 (95%CI: 0.747~0.849), and its best cut-off value is >4.5, with sensitivity 72.0% and specificity 75.3%. Conclusions: This newly developed screening tool can be a good choice for early prediction and alert for severe case especially in the condition of overload health service.
Early predictors and screening tool developing for severe patients with COVID-19