Hepatitis B Virus Vaccine Response in Hemodialysis: Baseline Patient Characteristics
Bibliographic record
Abstract
BACKGROUND: Hepatitis B virus (HBV) vaccination is recommended for all individuals with renal failure. Nevertheless, the response rate for this vaccine in hemodialysis (HD) patients is low, ranging from 50% to 80%. The goal of this study was to determine patient characteristics at the initiation of HD that influence HBV vaccine response. METHODS: Patients new to HD in an urban population in the United States were retrospectively examined. Analyzed patients were HBV antibody and antigen negative and hepatitis C virus antibody negative at the start of HD, who received HBV recombinant vaccine. Nonresponse was defined as failure to seroconvert (>10 UI/L) after six deltoid intramuscular injections of vaccine. Response was defined as a lasting seroconversion (at least two consecutive positive titers) with </=6 injections. Demographic, laboratory, and kinetic modeling data were examined. RESULTS: A total of 33 nonresponders and 64 responders were identified. Univariate analysis demonstrated that nonresponders were older (59 vs. 51 years), had a higher prevalence of diabetes mellitus (DM) (70 vs. 39%), had lower serum albumin levels (3.2 vs. 3.3 g/dL), and had higher dry weights (84 vs. 71 kg) than responders at HD start. In addition, nonresponders had lower normalized protein catabolic rates (0.74 vs. 0.85 g/kg/day) and lower (single-pool) spKt/V(urea)values (0.95 vs. 1.19). Nonresponders had lower serum creatinine levels than responders, despite the greater dry weights. In a multiple logistic analysis model, the presence of DM, age >/= 55 years, body weight >/=80 kg, and normalized protein catabolic rate </=0.75 g/kg/day were associated with HBV vaccination nonresponse. At the end of the vaccination period, nonresponders versus responders continued to have lower serum albumin (3.5 vs. 3.8 g/dL) and creatinine levels (7.8 vs. 10.0 mg/dL) and spKt/V(urea)(1.27 vs. 1.39). CONCLUSION: Hepatitis B vaccine nonresponders on HD are older, are more likely to have DM, are more malnourished, and have lower spKt/V(urea) than responders. Nonresponders may also have a different body composition with a lower ratio of lean to total body mass.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".