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Predictive factors for serological response in HbeAg-positive chronic hepatitis B patients with adefovir dipivoxil treatment / 中华临床感染病杂志
Article in Zh | WPRIM | ID: wpr-597274
Responsible library: WPRO
ABSTRACT
Objective To investigate the predictive value of TNFα,ALT,HBV DNA loads and HBV serological markers in response to adefovir dipivoxil (ADV) treatment for patients with chronic hepatitis B(CHB).Methods Two hundred and three HBeAg.positive CHB patients were administered with ADV 10 mg/d for 48 weeks.HBV serological markers and TNFα at the baseline were determined by enzyme linked immunosorbent assay(EUSA),and HBV DNA loads were detected by PCR.Logistic regression was used to identify predictive factors for serological response at 48th week after the treatment.Results The rates of HBV DNA clearance,ALT normalization,HBeAg lOSS,HBeAg seroconversion and response at 24th week were 31.5%(64/203),59.1%(120/203),15.8%(32/203).8.9%(18/203)and 13.3%(27/203)respectively,while those at 48th week were 58.6%(119/203),78.3%(159/203),29.6%(60/203),16.7%(34/203)and 25.6%(52/203),respectively.Patients who achieved HBeAS loss at 48th week were found to have higher rates of HBV DNA clearance.HBeAg loss and seroconversion at 24th week and higher TNFα at baseline(P=0.017,0.ooI,0.029 and 0.040),while those who achieved HBeAg seroconversion at 48th week were found to have higher rate of HBeAg seroconversion at 24th week.and lower baseline HBV DNA loads(P=0.000 and 0.004).Conclusion For HBeAg.positive CHBpatients with ADV treatment,the rate of HBV DNA clearanee,HBeAg loss and seroeonversion at 24th week and TNFα at baseline may be used to predict the rate of HBeAg 1088 at 48th week:the rate of HBeAgseroconversion at 24th week and baseline HBV DNA loads may be used to predict the rate of HBeAgseroeonversion at 48th week.
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Full text: 1 Database: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Clinical Infectious Diseases Year: 2009 Document type: Article
Full text: 1 Database: WPRIM Type of study: Prognostic_studies Language: Zh Journal: Chinese Journal of Clinical Infectious Diseases Year: 2009 Document type: Article