Abstract:

Objective To investigate the roles of prothrombin time（PT）,activated partial thromboplastin time（APTT）,fibrinogen（Fib）,thrombin time（TT）and D-dimer（DD） in the prediction and diagnosis of severe corona virus disease 2019（COVID-19）. Methods A total of 120 patients with COVID-19 were recruited from Fuyang Second People's Hospital from January 2020 to February 2020. There were 17 cases of severe group and 103 cases of mild group. The differences of PT,APTT,Fib,TT and DD were compared between the 2 groups,and a predictive model was established by Logistic regression analysis and evaluated by receiver operating characteristic（ROC） curve analysis. Results Compared with mild group,severe group had higher TT,DD and Fib（P<0.01,P<0.05）. DD and TT were independent risk factors for severe COVID-19. The predictive model Logit（P）=-12.460+1.760DD+0.601TT was established,and the goodness of fit test results of the predictive model showed P>0.05. The areas under curves（AUC）of DD,TT and combined determinations were 0.854,0.817 and 0.875,respectively. The sensitivities were 76.47%,70.59% and 70.59%,and the specificities were 83.50%,86.41% and 98.06%,respectively. DD predicted that the cut-off value of severe COVID-19 was 0.48 μg/L,and the cut-off value of TT was 16 s. Conclusions DD>0.48 μg/L and TT>16 s can effectively predict and diagnose the occurrence of severe COVID-19. The performance of combined determination is better.

Key words: Corona virus disease 2019, Coagulation function indicators, Sensitivity, Specificity