Effectiveness of Two Rapid Scores in Predicting the Mortality Risk of Coronavirus Disease 2019 (COVID-19)

Introduction: Some studies have indicated that a range of Early Warning Scores, encompassing the Standardized Early Warning Score(SEWS), National Early Warning Score(NEWS), National Early Warning Score 2(NEWS2), and Hamilton Early Warning Score(HEWS), hold potential as screening instruments for predicting mortality risk in coronavirus disease 2019(COVID-19) patients. Given the urgent need to quickly assess disease severity at admission, this study aimed to evaluate the effectiveness of two rapid scoring Methods: the Quick Sequential Organ Failure Assessment(qSOFA) and Rapid Emergency Medicine Score(REMS). Methods: This study collected 127 study subjects and their data through systematic records of the wards from March 7 to April 7 in 2020 to calculate qSOFA and REMS, and drew the receiver operating characteristic(ROC) curve to analyze and compare the predictive effectiveness of REMS, qSOFA, NEWSand HEWSbyusing SPSS25.0. Results: There were 110(86.6%) patients alive out of the 127 patients, and the average ages of the survivors and non survivors were 59.08±14.87 and 75.29±12.78 years. The AUCs of REMS, qSOFA, NEWS, and HEWS were 0.826, 0.700, 0.774, and 0.764, respectively. Conclusion: This study concluded that REMS was the most effective scoring system among the evaluated tools, with qSOFA also demonstrating acceptable predictive performance. These findings suggested that REMS and qSOFA could be valuable in rapidly assessing disease severity and predicting mortality risk in COVID-19 patients upon admission.