Admission biochemical test associated with the prognosis of COVID-19: a multi-centered retrospective cohort study

Abstract Objectives: Since December 2019, a outbreak of Corona Virus Disease-2019(COVID-19) started in Wuhan, China. Now we comprehended much more about the troublesome disease from studies than the beginning. But more details between admission laboratory test and prognosis of COVID-19 were still confusing. So we focused on the admission biochemical test, and tried to verify their influence to the prognosis of COVID-19.Method: 522 patients from 4 hospitals were enrolled in this retrospective cohort study. We collected demographic information, comorbidities and laboratory biochemical indicators, then compared them between survivors’ and nonsurvivors’ group. Logistic regression methods were used to explore the risk factors associated with in-hospital death. Linear regression and receiver operating characteristic curve(ROC-curve) was applied to assess the efficiency of risk factors and regression model.Results:Age of nonsurvivors’ group(68.9) was older than survivors group(50.0). Diabetes(68.7%) was the most common comorbidity in the nonsurvivors’ group. In univariate regression analysis, most biochemical tests were related to the mortality except lipid metabolic results. Age, fasting blood glucose and blood urea nitrogen(BUN) were with a p-value less than 0.001 in multivariate regression model.Conclusion:Age, BUN and fasting blood glucose were risk factors associated with the prognosis of COVID-19 related pneumonia.Authors Qi Long, Chen-liang Zhou, Ye-ming Wang, Bin Song, Xiao-bin Cheng, Qiu-fen Dong, and Liu-lin Wang contributed equally to this work.