This exploratory study is designed to determine the early viral kinetic profile during treatment with telbivudine or entecavir at multiple time points over 12 weeks.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Enrollment
44
Entecavir 0.5 mg once daily for 12 weeks.
Telbivudine 600 mg once daily for 12 weeks.
Holy Family Hospital_Bucheon
Bucheon,Kyunggi, South Korea
Inje University Busan Paik Hospital
Busan, South Korea
Yeungnam University Medical Center
Daegu, South Korea
Gachon Univ. Gil Medical Center Hospital
Incheon, South Korea
Change in Mean Hepatitis B Virus (HBV) DNA Levels
Baseline HBV DNA is defined as the last pre-dose assessment of HBV DNA.
Time frame: Baseline (day 1) to Week 12 (day 85)
Change in Mean HBV DNA Level
Baseline HBV DNA is defined as the last pre-dose assessment of HBV DNA.HBV DNA reductions, considered as the repeated measures, from baseline to Weeks 2, 4, 8.
Time frame: Baseline (day 1) to Weeks 2, 4, 8
The Area Under the Curve (AUC) of HBV DNA Change.
In AUC efficacy analyses, all the visits from baseline to Week 12 visit (including the planned and the repeated) with a non-missing HBV DNA level were included.
Time frame: From Baseline to Week 12
Change in Alanine Aminotransferase (ALT) Levels
Time frame: From Baseline to Week 12
Characterization of Very Early Viral Kinetics: Estimation of Viral Clearance
Viral kinetic parameters were estimated with a bi-phasic mathematical model: V(t) = (1-ε)pI(t) - cV(t) I(t) = (1- η)TV(t) - δI(t) V serum viral load, I productively infected cells, ε efficiency factor of blocking virus production, p viral production rate, c viral clearance rate, η efficiency factor of blocking de novo infection, β de novo infection rate, T uninfected target cells, δ rate of infected cell loss. Maximum-likelihood estimation for the viral kinetic parameters entailed fitting a nonlinear differential equation system via the least-squares approach from serum HBV DNA data.
Time frame: Baseline to 12 weeks
Characterization of Very Early Viral Kinetics: Estimation of the Rate of Infected Cell Loss
Viral kinetic parameters were estimated with a bi-phasic mathematical model: V(t) = (1-ε)pI(t) - cV(t) I(t) = (1- η)TV(t) - δI(t) V serum viral load, I productively infected cells, ε efficiency factor of blocking virus production, p viral production rate, c viral clearance rate, η efficiency factor of blocking de novo infection, β de novo infection rate, T uninfected target cells, δ rate of infected cell loss. Maximum-likelihood estimation for the viral kinetic parameters entailed fitting a nonlinear differential equation system via the least-squares approach from serum HBV DNA data.
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Asan Medical Center
Seoul, South Korea
Kangnam Sacred Heart Hospital
Seoul, South Korea
Korea University Medical Center_Anam
Seoul, South Korea
The Catholic University of Korea
Seoul, South Korea
Time frame: Baseline to 12 weeks
Characterization of Very Early Viral Kinetics: Estimation of the Efficiency Factor of Blocking Virus Production
Viral kinetic parameters were estimated with a bi-phasic mathematical model of HBV DNA by using compartments of free virus, infected cells, and uninfected target cells. The model parameter of interest was the effectiveness of the drug in blocking virus production from infected cells (efficacy, ε). Blocking efficiency was within the range between 0 and 1.
Time frame: Baseline to 12 weeks
Number of Patients Who Are Polymerase Chain Reaction (PCR) Negative
PCR negative was considered \<300 copies/mL. PCR positive was considered =\>300 copies/mL.
Time frame: At Week 12