Clinical efficacy analysis of DPMAS in the treatment of drug-induced liver injury with severe hyperbilirubinemia
Objective To analyze the clinical efficacy of double plasma molecular adsorption system(DPMAS)in the treatment of patients with drug-induced liver injury(DILI)with severe hyperbilirubinemia.Methods sixty patients with DILI with severe hyperbilirubinemia were enrolled in our hospital from Apr.2021 to Apr.2022,and they were ran-domly divided into control group and observation group,with 30 cases in each group.The patients in the control group were given conventional medical treatment,and the patients in the observation group were received DPMAS in base of traditional medical treatment.The clinical symptoms and laboratory indicators before and after treatment were compared between the two groups,and the differences of treatment efficiency and efficacy were analyzed.Results The main drugs causing liver injury were traditional Chinese medicine,antipyretic analgesic and chemotherapy drugs.The types of DILI were hepatocyte injury type,cholestatic type and mixed type.After the end of treatment,AST,ALT,ALP,TBA,TBIL and DBIL in observation group and control group were significantly decreased than before treatment(P<0.05).Serum PT and INR in observation group were decreased than before treatment,while ALB and serum PTA were increased than before treatment(P<0.05).There were no significant differences in hepatic,renal and coagulation function between the two groups after treatment(P>0.05).After treatment,the effective rate was no significant difference between two groups(P>0.05).The treatment time for 30%,50%and 70%TBIL reduction rates in the observation group were significantly shorter than those in control group(P<0.05),and the total reduction rates of TBIL and DBIL in the observation group were sig-nificantly higher than those in control group(P<0.05).Conclusion DPMAS is effective in the treatment of DILI with severe hyperbilirubinemia,which can rapidly reduce bilirubin and shorten the course of disease.
NETL
NSTL
万方数据
维普
