The coronavirus disease 2019 (COVID-19) pandemic has spread to almost all countries. The currently reported epidemiological statistics show that age, gender, and type of comorbidities may be high risk factors for critically ill patients with COVID-19. However, there is no comprehensive analysis of these risk factors. In the present study, we systematically explored the prognostic value of the clinical factors (gender, age and comorbidities) in 189 COVID-19 patients from Wuhan, China. We discovered that the gender, age and comorbidities were tightly associated with the survival of COVID-19 patients via performing Kaplan-Meier curve analysis. Compared with the female patients, male patients have a lower survival rate. Similarly, the older patients and those with more comorbidities also tended to have an unfavorable survival outcome. In addition, further stratified analysis of COVID-19 patients according to the three risk factors indicated that some laboratory indicators including CRP, IL-6 and lymphocytes showed significant trends in gender, age and comorbidities groups. Together, these result which may provide a certain reference value for the prevention and treatment of COVID-19.