Coronavirus disease 2019 (COVID-19) emerged in mid-December 2019 and rapidly spread worldwide . In order to construct a simple risk prediction score for implementation in prehospital settings, we conducted a retrospective analysis of data from patients with COVID-19 . Patients were classified into critical and non-critical groups based on disease severity during hospitalization . Multivariate analysis was performed to identify independent risk factors and develop a risk prediction score . In total, 234 patients were included in this study . The median age of the critical group was significantly older than that of the non-critical group (68.0 and 44.0 years), and the percentage of males was higher in the critical group than in the non-critical group (90.2% and 60.6 %). Multivariate analysis revealed that age & #8805; 45 years, male sex, hypertension, and cancer, along with fever and dyspnea on admission, were independently associated with the critical group . No critical events were noted in the patients with total risk factors & #8804; 2 . In contrast, the patients with total risk factors & #8805; 4 were highly related to the critical group . This risk prediction score may be useful to identify critical COVID-19.