Recipient age affects long-term outcome and hepatitis C recurrence in old donor livers following transplantation
Bibliographic record
Abstract
We studied the role of donor and recipient age in transplantation/ischemia-reperfusion injury (TIRI) and short- and long-term graft and patient survival. Eight hundred twenty-two patients underwent deceased donor liver transplantation, with 197 donors being > or = 60 years old. We evaluated markers of reperfusion injury, graft function, and clinical outcomes as well as short- and long-term graft and patient survival. Increased donor age was associated with more severe TIRI and decreased 3- and 5-year graft survival (73% versus 85% and 72% versus 81%, P < 0.001) and patient survival (77% versus 88% and 77% versus 82%, P < 0.003). Hepatitis C virus (HCV) infection and recipient age were the only independent risk factors for graft and patient survival in patients receiving an older graft. In the HCV(+) cohort (297 patients), patients > or = 50 years old who were transplanted with an older graft versus a younger graft had significantly decreased 3- and 5-year graft survival (68% versus 83% and 64% versus 83%, P < 0.009). In contrast, HCV(+) patients < 50 years old had similar 3- and 5-year graft survival if transplanted with either a young graft or an old graft (81% versus 82% and 81% versus 82%, P = 0.9). In conclusion, recipient age and HCV status affect the graft and patient survival of older livers. Combining older grafts with older recipients should be avoided, particularly in HCV(+) patients, whereas the effects of donor age can be minimized in younger recipients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".