Hepatic Artery Microvascular Anastomosis in Pediatric Living Donor Liver Transplantation: A Review of 35 Consecutive Cases by a Single Microvascular Surgeon
Bibliographic record
Abstract
Early experience with living donor liver transplantation (LDLT) was often complicated by hepatic artery thrombosis (HAT), a devastating complication resulting in graft loss. Attempting to reduce the incidence of HAT, we undertook a retrospective review of all children at our institution undergoing LDLT between March 2000 and August 2007, with the hepatic artery anastomosis performed by a single microvascular surgeon. Transplant surgeons performed the remainder of the operation. Patient outcomes were evaluated, including 1-year arterial and biliary complications, as well as overall survival. End-to-end hepatic arterial anastomoses were performed in 35 patients (median age: 15 months). Median posttransplant follow-up was 39 months (range: 0 to 90 months). One patient with a diffuse coagulopathy was retransplanted for HAT; this patient also demonstrated portal and hepatic vein thromboses. Biliary complications occurred in seven patients: three leaks, one cholangitis, one nonspecific dilatation, and two strictures. The median posttransplant follow-up was 39 months (range: 0 to 90 months). One- and 5-year patient survival was 94% and 94%, respectively. Very low rates of HAT can be achieved with LDLT using microsurgical techniques for hepatic arterial anastomoses. Outstanding long-term liver graft function can be achieved after LDLT when plastic surgeons and transplant surgeons collaborate together to reduce technical complications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".