Long-term immunogenicity and safety of the hepatitis B vaccine HepB-CpG (HEPLISAV-B) compared with HepB-Eng (Engerix-B) in adults with chronic kidney disease
Bibliographic record
Abstract
BACKGROUND: Hepatitis B virus (HBV) infection remains a significant global burden, especially for patients with chronic kidney disease (CKD) receiving hemodialysis. Three doses of HepB-CpG (HEPLISAV-B® vaccine) induced a superior immune response compared with 4 double doses of HepB-Eng (Engerix-B®) in a phase 3 trial (HBV-17) in adults with CKD. Here we report the long-term immunogenicity and safety of HepB-CpG and HepB-Eng in eligible participants of HBV-17 who enrolled in this optional 34-month follow-up trial (HBV-19). METHODS: HBV-19 is a multicenter, open-label, phase 3b trial of adults with CKD who previously received a complete series of HepB-CpG or HepB-Eng in the HBV-17 trial. Participants were assigned to seroprotection categories at enrollment on the basis of their antibody response to hepatitis B surface antigen (anti-HBs) in HBV-17. The objective was to evaluate the durability of seroprotection (defined as an anti-HBs concentration ≥ 10mIU/mL) induced by HepB-CpG and HepB-Eng. Participants whose anti-HBs concentration was below 10mIU/mL received additional HepB-CpG or HepB-Eng doses. RESULTS: 147 participants were enrolled; 66.7 % were men, median age was 65.0 years, and 83.7 % were white. The durability of seroprotection in participants with CKD was similar in those who received HepB-CpG and those who received HepB-Eng. Antibody concentrations ≥ 100mIU/mL persisted for longer in HepB-CpG than HepB-Eng recipients, among those with anti-HBs ≥ 100mIU/mL post vaccination. The geometric mean anti-HBs concentration in the HepB-CpG group was significantly higher than in the HepB-Eng group over time (P ≤ 0.0001). The safety profiles were similar between the vaccine groups. CONCLUSIONS: Due to the higher antibody levels induced by HepB-CpG in participants with CKD, seroprotection against HBV may be expected to persist longer than that induced by HepB-Eng. CLINICALTRIALS: gov: NCT01282762.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".