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To achieve global elimination of hepatitis B virus (HBV), it is crucial to eliminate HBV mother-to-child transmission (MTCT) by ensuring high coverage of birth dose vaccine and expanding the adoption of peripartum antiviral prophylaxis (PAP) by tenofovir. Current international guidelines require hepatitis B surface antigen (HBsAg)-positive pregnant women to undergo viral load (VL) quantification to identify those at high risk (VL ≥200,000 IU/mL) who should receive PAP. However, VL testing remains inaccessible in many low- and middle-income countries (LMICs), particularly in rural areas. Consequently, in the forthcoming guidelines, the WHO is going to issue a conditional recommendation for administering PAP to all HBsAg-positive women lacking access to VL testing. Although this universal strategy may appear promising for simplifying the diagnostic process, it may result in overtreating the majority of HBsAg-positive pregnant women, estimated at 85% in Africa and 70% in Asia, for whom birth dose vaccine is likely sufficient. Moreover, the real-world applicability of this strategy in LMICs has never been formally tested.
As an innovative alternative, the adoption of a rapid point-of-care test for hepatitis B core-related antigen (HBcrAg-RDT) is proposed to identify women eligible for PAP.This test requires only a drop of capillary blood, eliminating the need for electricity or centrifugation, and can provide a reliable result within 45 minutes. Compared to the universal strategy, HBcrAg-RDT strategy is expected to be less expensive and could prevent unnecessary tenofovir exposure for both women and their fetuses. Our aim is to establish the non-inferiority of the HBcrAg-RDT strategy, in comparison to the universal strategy, in terms of effectiveness, defined as the reduction in maternal VL at the time of childbirth, a main driver of the MTCT risk. This will be approached through a multidisciplinary framework integrating health economics, implementation science, and health policy analysis.
Full description
I) Methodology and Study Design
The study combines two components:
I. Core Research Study Study Design Two-Arm Parallel, Cluster-Randomized Trial Design, Open-Label, Non-Inferiority Trial 1:1 Allocation Ratio 1:1 Arm 1: Intervention Group (Selective Strategy) HBsAg-positive women → Tested for HBcrAg RDT → TDF treatment if HBcrAg positive.
Arm 2: Control Group (Universal Strategy) HBsAg-positive women → Immediate TDF treatment
Clusters Randomization unit: Primary Health Centers (PHCs) or rural hospitals Total clusters: 80 (40 per group, 16 clusters per country)
Participants Total participants: 3200 HBsAg-positive women 1600 women per group → 640 women per country → 40 per cluster
Key eligibility criteria for clusters include:
II. The Social Science component:
The social sciences component of the study will be conducted in only 2 countries (Cambodia and Ivory Coast) and includes three key sub-studies:
A mixed-methods approach will be used, including qualitative interviews and quantitative questionnaires among pregnant women and healthcare workers.
Additionally, a qualitative assessment of the two strategies' acceptability, alongside a health policy analysis, will be conducted in Togo to enrich the study's contextual understanding. This initiative will also enhance the partner team's social science research capacity through targeted training and skill development in qualitative research for students and early-career researchers.
II) Intervention:
Medication: Tenofovir Disoproxil Fumarate (TDF); Administration Route: Oral Dosage: 300 mg/day or 300 mg every 2 days (if creatinine clearance is 30-50 ml/min)
Preventive treatment:
III) Statistical methods
Core research study. The investigators predict that with the universal strategy, the proportion of women meeting the primary endpoint would be 78%. They chose a non-inferiority margin of 10% when comparing the HBcrAg-RDT strategy to the universal strategy. This indicates that a 68% success rate would be accepted for the same primary endpoint under the worst-case HBcrAg-RDT strategy.
They plan to recruit 40 HBsAg-positive women in each PHC. With a coefficient of variation between clusters of 0.143, derived from the assumptions, the trial requires 40 clusters per group, totaling 80 clusters of 40 HBsAg-positive women each, for 90% power at two-sided 5% (2.5% one-sided) significance to show non-inferiority within a margin of 10%.
Social Science quantitative data:
The sample size for the social science data is based on the proportion of women with good knowledge of hepatitis B, 90% power, two-sided 5% significance, and 20% loss to follow-up at the 9-month postpartum visit. Assuming 23% and 29% of women having good knowledge of hepatitis B at inclusion and the 9-month postpartum visit, respectively, overall for both strategies, with a correlation coefficient before-after of 0.15, 32 clusters (16 per country) of 40 women each (totaling 1280 participants) will be needed to show significant differences in the proportion of women with good knowledge of hepatitis B between inclusion and the 9-month postpartum visit (overall, considering both strategies together).
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Inclusion criteria
Exclusion criteria
HIV co-infection.
HBV treatment ongoing on the day of inclusion.
Having at least one of the following criteria indicatives of the third trimester of pregnancy:
The reported gestational age is ≥28 weeks, based on the last menstrual period (LMP) if known.
Fetal biometry (e.g., head circumference, femur length) on ultrasound suggests a gestational age of ≥28 weeks.
Symphysis-fundal height (SFH) measurement of ≥ 28 cm which corresponds to approximately 28 weeks of gestation.
Severe gravid disease at inclusion, which poses a life-threatening risk to the mother and/or child
Any concomitant medical condition that, according to the clinical site investigator, would contraindicate participation in the study.
Concurrent participation in any other study (unless approved in writing by the Global Principal Investigators).
Primary purpose
Allocation
Interventional model
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3,200 participants in 2 patient groups
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Central trial contact
Yusuke SHIMAKAWA; Olivier SEGERAL
Data sourced from clinicaltrials.gov
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