Objective To investigate the roles of routine biochemical indicators for evaluating the severity of corona virus disease 2019(COVID-19). Methods A total of 1 743 patients with COVID-19 were enrolled and classified into non-severe group(1 684 cases) and severe group(59 cases) according to the severity of COVID-19. Routine biochemical indicators,including high-sensitivity cardiac troponin T(hs-cTnT),cardiac troponin I(cTnI),creatine kinase(CK),creatine kinase-MB isoenzyme(CK-MB),myoglobin(MYO),lactate dehydrogenase(LDH),albumin(Alb),albumin to globulin ratio(A/G),aspartate aminotransferase(AST),alanine aminotransferase(ALT),direct bilirubin(DBil),indirect bilirubin(IBil),total bilirubin(TB),creatinine(Cr),urea(Urea),uric acid(UA),K+ and Na+,of all the patients were determined. Receiver operating characteristic(ROC) curve was used to evaluate the roles of routine biochemical indicators for evaluating the severity of COVID-19. Results The levels of hs-cTnT,cTnI,CK-MB,MYO,LDH,AST,DBil,IBil,TB and Urea in severe group were higher than those in non-severe group(P<0.05). The levels of Alb,A/G,UA and Na+ in severe group were lower than those in non-severe group(P<0.05). There was no statistical significance in CK,ALT,Cr and K+ levels between the 2 groups(P>0.05). The positive rates of hs-cTnT,cTnI,CK,CK-MB,MYO,LDH,Alb,A/G,AST,DBil,IBil,TB,Cr,Urea,K+ and Na+ in severe group were higher than those in non-severe group(P<0.05). There was no statistical significance in the positive rates of ALT and UA between the 2 groups(P>0.05). ROC curve analysis showed that among the 18 biochemical indicators,the top 3 area under curve(AUC) indicators for the diagnosis of COVID-19 were hs-cTnT(0.881),LDH(0.880) and Alb(0.867),the sensitivities were 90.5%,76.3% and 84.7%,and the specificities were 71.9%,91.8% and 81.6%,respectively. Logistic regression analysis showed that the higher the hs-cTNT and the lower the Alb were,the higher the risk of severe disease was. Conclusions Biochemical indicators,hs-cTnT,LDH and Alb,have good diagnostic performance for evaluating severe and non-severe COVID-19,which can be used as potential biomarkers for evaluating the severity of COVID-19.