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Updated: Jan 21, 2026

Detection of Low Copy Number Integrated Viral DNA Formed by In Vitro Hepatitis B Infection
Published on: November 7, 2018
Effect of viral load on pregnancy outcomes in chronic hepatitis B infection
Canan Unal1, Atakan Tanacan1, Gunel Ziyadova1
1Division of Perinatology, Department of Obstetrics and Gynecology, Hacettepe University, Ankara, Turkey.
Aim:
This study aimed to evaluate perinatal and neonatal outcomes in pregnant women with chronic hepatitis B virus infection based on infection status and to identify cut-off values based on hepatitis B virus DNA viral load to predict composite adverse perinatal/neonatal outcomes.
Methods:
Pregnant women with chronic hepatitis B virus who delivered at Hacettepe University between 2010 and 2018 were evaluated retrospectively. We included 95 patients. The patients were classified into two groups based on laboratory findings and viral load: group 1 (n = 63), immune inactive; and group 2 (n = 32), immune active. Maternal age, gravidity, parity, gestational week at birth, birth weight, 5th minute APGAR scores and composite perinatal and neonatal outcomes were compared between groups.
Results:
Gestational week at birth, birth weight and 5th minute APGAR score in group 2 were lower than those in group 1 (P < 0.001, P < 0.005 and P < 0.001, respectively). The rates of composite adverse perinatal/neonatal outcome, preterm birth, fetal growth restriction, oligohydramnios, pre-eclampsia, admission to the neonatal intensive care unit, small for gestational age and 5th minute APGAR score less than 7 were significantly higher in group 2 (P < 0.001). Hepatitis B virus DNA viral load of 17 515 IU/mL (72.7% sensitivity, 78.1% specificity) and 17 515 IU/mL (81.8% sensitivity, 80.8% specificity) were determined to be cut-off values for composite adverse perinatal and neonatal outcomes, respectively.
Conclusion:
Care should be taken in patients with a viral load of greater than 17 515 IU/mL, and pregnancy should be postponed until the inactive phase of the disease for optimal results.
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