ObjectiveTo investigate the clinical characteristics and risk factors of patients with coronavirus disease 2019 (COVID-19), to provide a basis for clinical classification, diagnosis, and treatment.MethodsThe clinical data of COVID-19 patients comfirmed between January 17th and February 13th, 2020 were collected, single-factor test and multivariate logistic regression were used to compare the relevant indicators between the mild or common cases and the severe or critically severe cases.ResultsA total of 202 patients with COVID-19 were included, with an average age of 45.2 years and a male-to-female ratio of 1∶1.02. There were 146 patients (72.3%) without underlying diseases. The average time from onset to diagnosis was 5.4 d, and 31 were clustering epidemic cases. There were 13 (6.4%) mild cases, 151 (74.8%) common cases, 32 (15.8%) severe cases, and 6 (3.0%) critically severe cases. The main clinical symptoms were fever, cough, gasp, and diarrhea. Of the 202 patients, 135 (66.8%) had normal white blood cell count, 22 (10.9%) had lymphocyte ratio >40%, 18 (8.9%) had elevated aspartate aminotransferase (AST), 11 (5.4%) had elevated creatine kinase MB isoenzyme (CKMB), and 143 (70.8%) had elevated C-reactive protein (CRP). Single factor analyses showed that there were statistically significant differences between the mild or common cases and the severe or critically severe cases in the days of diagnosis, age, underlying disease, percentage of neutrophil, percentage of lymphocyte, arterial oxygen partial pressure, CRP, procalcitonin, lactate dehydrogenase, creatine kinase, CKMB, and AST (all P<0.05); multiple logistic regression analysis showed that CRP [odds ratio (OR)=1.035, 95% confidence interval (CI) (1.015, 1.055), P=0.001], CKMB [OR=1.078, 95%CI (1.023, 1.135), P=0.005], and AST [OR=1.042, 95%CI (1.016, 1.069), P=0.002] were correlated with clinical classification.ConclusionsCOVID-19 patients are mild or common cases mostly. CRP, CKMB, and AST are elevated in some cases, which may be related to early inflammation and certain myocardial damages and are independent risk factors for predicting classification.