An outbreak of COVID-19 has spread worldwide, and it is urgent to
evaluate risk factors associated with severe cases. We aimed to identify
risk factors for severe patients with COVID-19. A total of 52 patients
with COVID-19 admitted to Henan Provincial People’s Hospital were
enrolled in this study, and patients’ information was extracted from
electronic medical records. The severity of symptoms of COVID-19 was
divided into “mild” and “severe.” Univariate analysis was used to
select potential risk factors. A risk model was constructed using
multivariable logistic regression analysis. Advanced age (OR = 1.098,
95% CI = 1.020-1.183) and number of comorbidities (OR = 6.067, 95% CI
= 1.078-34.143) were significant risk factors for severe patients with
COVID-19. The comorbidities included hypertension, diabetes,
cardiovascular disease, respiratory disease, and past surgical history.
A risk score was developed based on this model, and the developed risk
prediction model had good discriminative power and was well-calibrated.
This study indicates that advanced age and comorbidities are risk
factors for severe patients with COVID-19. More attention should be paid
to high-risk patients during hospitalization.