ABSTRACT
Objective To analyze the epidemiological characteristics and laboratory tests of coro-navirus diseases 2019(COVID-19) cases in Fujian province and to explore the risk factors for their progression to severe cases. Methods The clinical and epidemiological data of COVID-19 confirmed patients with clinical final outcome (including recovery death, etc.) from January 22 to March 7 in 2020 in Fujian were collected. The risk factors of the severe cases were analyzed by univariate and multivariate Logistic regression. Results Up to March 7, 2020, a total of 231 patients were collected in Fujian province, among which, 39(16.88%) were severe and critical cases. The univariate analysis showed that most patients in the severe group had underlying diseases (71. 80%), which was significantly higher than that in the non-severe group (34. 40%) (%2 = 18. 808, P<0. 001). Among them, hypertension, cardiovascular disease, lung disease, other chronic diseases and other factors were statistically different between the two groups (all P<0. 05). Then, numbers of hematological tests were statistical differences between the two groups. Multivariate Logistic regression analysis revealed that age =5 65 years old (OR =17. 067, 95%CI: 2. 640-110. 327), low level of lymphocyte (OR = 4. 731, 95%>CI: 1. 175-19. 046), liver dysfunction (OR = 12. 458, 95% CI: 2. 559-60. 649), high level of calcitonin (OR = 3. 577, 95% CI: 1. 733-7. 384) and high level of C-reaction protein (OR = 2. 354, 95%CI:1. 012-5. 478) were risk factors for the progression of COVID-19 patients to severe illness. The obtained regression equation fits the training sample well (AUC = 0. 941). Conclusions Low level of lymphocyte,liver dysfunction, high level of calcitonin and high level of C-reaction protein could be used as the early warning indicators for severe cases. More attention should be paid to elderly patients age