Objective：To analyze the severe coronavirus disease 2019（COVID-19） influencing factors and provide evidence for indi－vidualized treatment of COVID-19 patients. Methods：The med－ical records of 200 cured and discharged COVID-19 patients in Vulcan Mountain Hospital were retrospectively analyzed，and they were divided into two groups according to clinical classi－fications：non-severe（light/normal） and severe（severe/critical）. Binary logistic regression was used to estimate potential risk factors for severe COVID-19. Results：The proportion of the 200 COVID-19 patients with non-severe and severe diseases was 57.0% and 43.0%，respectively. There were significant differences in age（t=4.593，P＜0.001），pulse rate（t=2.134，P=0.034），hypertension（χ2=23.933，P＜0.001），diabetes（χ2=5.141，P=0.023），coronary heart dis－ease（χ2=5.879，P=0.015），albumin（t=3.073，P=0.002），ratio of albumin to globulin（t=2.127，P=0.035），and urea nitrogen（t=2.064，P=0.041）. Binary logistic regression analysis showed that age（OR=1.040，95%CI=1.012-1.069，P=0.040），pulse rate（OR=1.029，95%CI=1.000-1.006，P=0.051） and hypertension（OR=4.378，95%CI=2.033-9.429，P＜0.001） were independent risk factors of severe COVID-19. Conclusion：We should give timely targeted intervention to the elderly patients with basic diseases，especially hypertension，so as to reduce the potential risk of severe COVID-19.