A Randomized Controlled Study of Efficacy and Safety of Accelerated Versus Standard Hepatitis B Vaccination in Patients With Advanced CKD
Bibliographic record
Abstract
Introduction Hepatitis B virus (HBV) vaccination is crucial for seronegative patients with advanced chronic kidney disease (CKD) for protection during dialysis while preparing for transplantation. A standard regimen for HBV vaccination requires 24 weeks to be completed. An accelerated HBV vaccination regimen completed within 8 weeks has shown early effective seroconversion in healthcare workers. However, data for patients with advanced CKD are limited. Methods A randomized controlled trial was conducted in patients with advanced CKD (estimated glomerular filtration rate [GFR] <30 ml/min per 1.73 m 2 ) and patients on dialysis. The patients were randomly assigned to either a standard HBV vaccination regimen (Engerix B; 40 μg at 0, 4, 8, and 24 weeks) or an accelerated regimen (40 μg at 0, 1, 4, and 8 weeks). The hepatitis B surface antibodies (anti-HBs) were measured at 12, 28, and 52 weeks. Seroconversion were defined as anti-HBs ≥10 IU/l. Results At 12 weeks, among the intention-to-treat (ITT) population of 133 participants (65 in the accelerated and 68 in the standard groups), the accelerated group demonstrated significantly higher rates of seroconversion (83.08% vs. 63.24%, P = 0.01). In the per-protocol (PP) analysis of 125 patients (62 in the standard and 63 in the accelerated groups), the accelerated group exhibited higher seroconversion rate compared with the standard group (85.71% vs. 69.35%, P = 0.03). At 28 and 52 weeks, the seroconversion rates were similar between the 2 groups. Conclusion In patients with advanced CKD, the accelerated HBV vaccination regimen demonstrated a significantly higher seroconversion rate at 12 weeks of vaccination. This finding suggests that the accelerated regimen is an effective option to achieve rapid seroconversion before initiating hemodialysis or before undergoing kidney transplantation.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".