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Reuse of liver graft from a brain dead recipient

2007· article· en· W2114874599 on OpenAlexaff
Otmane Nafidi, Richard Létourneau, Bernard E Willems, Réal Lapointe

Bibliographic record

VenueClinical Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsHôpital Saint-LucCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineFulminant hepatic failureLiver transplantationCirrhosisComa (optics)Fulminant hepatitisHepatocellular carcinomaCerebral edemaLiver cancerSurgeryLiver functionLiver function testsTransplantationHepatitisInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Brain death in fulminant hepatic failure (FHF) is a rare occurrence after successful orthotopic liver transplantation (OLT). Reuse of the liver graft may be considered. We report a successful OLT using such an organ in a 62-yr-old man with hematochromatosis-related cirrhosis and hepatocellular carcinoma. METHODS: Liver donor was 56-yr-old man with normal liver function tests. First recipient was a 26-yr-old woman with an acetaminophen-induced FHF. Before OLT, she developed progressive coma without obvious cerebral edema on the cerebral CT-scan. The transplantation proceeded as planned and was uneventful. However, patient exhibited bilateral non-reactive mydriasis during postoperative hours and was declared brain dead. Transplanted liver was functioning adequately. Its reuse was discussed with her family and the second recipient. After informed consent, the transplanted liver and heart were harvested. First and second liver cold ischemia times were 10 h and 75 min, respectively. RESULTS: Second recipient recovered uneventful and discharged 23 d after OLT. Liver function is still normal 30 months after OLT without rejection or hepatocellular carcinoma recurrence. CONCLUSION: Even after OLT, brain death remains possible in FHF. In absence of contraindications, reuse of transplanted liver allows for a rational use of already rare liver grafts.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.399
Teacher spread0.338 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2007
Admission routes1
Has abstractyes

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