摘要Background:Some COVID-19 patients deteriorate to severe cases with relatively higher case-fatality rates,which increases the medical burden.This necessitates identification of patients at risk of severe disease.Early assessment plays a crucial role in identifying patients at risk of severe disease.This study is to assess the effectiveness of SUPER score as a predictor of severe COVID-19 cases.Methods:We consecutively enrolled COVID-19 patients admitted to a comprehensive medical center in Wuhan,China,and recorded clinical characteristics and laboratory indexes.The SUPER score was calculated using pa-rameters including oxygen saturation,urine volume,pulse,emotional state,and respiratory rate.In addition,the area under the receiver operating characteristic curve(AUC),specificity,and sensitivity of the SUPER score for the diagnosis of severe COVID-19 were calculated and compared with the National Early Warning Score 2(NEWS2).Results:The SUPER score at admission,with a threshold of 4,exhibited good predictive performance for early identification of severe COVID-19 cases,yielding an AUC of 0.985(95％confidence interval[CI]0.897-1.000),sensitivity of 1.00(95％CI 0.715-1.000),and specificity of 0.92(95％CI 0.775-0.982),similar to NEWS2(AUC 0.984;95％CI 0.895-1.000,sensitivity 0.91;95％CI 0.587-0.998,specificity 0.97;95％CI 0.858-0.999).Com-pared with patients with a SUPER score<4,patients in the high-risk group exhibited lower lymphocyte counts,interleukin-2,interleukin-4 and higher fibrinogen,C-reactive protein,aspartate aminotransferase,and lactate dehydrogenase levels.Conclusions:In conclusion,the SUPER score demonstrated equivalent accuracy to the NEWS2 score in predicting severe COVID-19.Its application in prognostic assessment therefore offers an effective early warning system for critical management and facilitating efficient allocation of health resources.