Hepatitis B and C serologic profiles of <scp>C</scp>anadian organ donors and recipients: retrospective 10‐year review at a single center
Bibliographic record
Abstract
BACKGROUND: Hepatitis C virus (HBV) and hepatitis C virus (HCV) are important causes of hepatitis and can be transmitted from organ donor to recipient. This study aimed to determine HBV and HCV serologic profiles of a population of Canadian solid organ transplant (SOT) donors and recipients, including prevalence of recipient HBV immunity. METHODS: Data on age, gender, organ transplanted, and pre-transplant HBV and HCV serology for SOT donors and recipients at a Canadian hospital from 2001 to 2011 were obtained from a transplant database. RESULTS: There were 2455 recipients (2205 adults, 250 children), and 1559 donors. Over 50% of adult and 44% of pediatric recipients were HBV non-immune pre-transplant. Pediatric recipients were more likely to have HBV vaccine immunity than were adult recipients (48.8% vs. 28.9%, P < 0.001). Prevalence of HBV vaccine immunity was highest in renal recipients (48.3% in adult, 63.2% in pediatric recipients). Recipient HBV vaccine immunity increased from 5.8% in 2001 to 44.5% in 2011 (P < 0.001). Of 134 adult recipients with prior HBV infection, 59 (44%) were co-infected with HCV. Only 0.6% of adult non-liver recipients had acute or chronic HBV infection and 3.2% were anti-HCV positive. Only 2 donors had acute or chronic HBV infection, 29 had prior HBV infection, 9 were isolated hepatitis B core antibody positive, and 15 were anti-HCV positive. CONCLUSIONS: The prevalence of HBV vaccine immunity in SOT candidates is low, but increased from 2001 to 2011. Opportunities for quality improvement in pre-transplant HBV immunization exist. HCV co-infection is common in recipients with 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".