Hepatitis B and C Serologic Profiles of Organ Donors and Recipients Over a 10 Year Period at a Canadian Transplant Center.
Bibliographic record
Abstract
Purpose: Determine the Hepatitis B (HBV) and Hepatitis C (HCV) serologic profiles of a population of Canadian solid organ donors and recipients, including prevalence of recipient HBV immunity. Methods: Data on the age, gender, organ transplanted and pre-transplant HBV and HCV serology for all solid organ donors, whose organs were transplanted, and recipients at a Canadian hospital from January 2001 through December 2011 were obtained from a transplant database. Results: There were 2533 transplant events with 1559 unique donors. Recipient HBV and HCV serology is summarized in Table 1.Table 1: Recipient HBV & HCV Serology by OrganRenal transplant recipients were more likely to have HBV vaccine immunity than were heart, lung or liver recipients (p<0.001 for all). Median age of recipients with HBV vaccine immunity was younger than non-immune recipients and those with prior HBV infection (p<0.001 for both). Recipient HBV vaccine immunity increased from 5.7% in 2001 to 45.2% in 2011. Of the 145 recipients with evidence of prior HBV infection, 61 (42%) were co-infected with HCV. Only 3 (0.2%) donors had acute or chronic HBV infection, 28 (1.8%) had prior HBV infection, and 9 (0.6%) were isolated anti-HBc positive. Compared to HCV negative recipients, recipients with HCV infection had an older median age, were more likely to be male, and were more likely to have evidence of prior HBV infection or be isolated anti-HBc positive (p<0.001 for all). Only 15 (1.0%) donors were HCV infected. Conclusions: Over 50% of recipients were HBV non-immune. Prevalence of HBV vaccine immunity increased from 2001-2011 and is expected to increase due to routine childhood HBV immunization in Canada; opportunities for quality improvement in catch-up pre-transplant immunization exist. HCV co-infection is common in recipients with evidence of prior HBV infection; prevalence of HCV infection in non-liver transplant recipients is low.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".