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Allograft Duodenal Cuff Biopsy as Surrogate in Evaluation of Pancreatic Transplant Rejection – A Multicenter Data Effort

2018· article· en· W2883765909 on OpenAlexaff
Danni Holanda, Cinthia B. Drachenberg, Marta I. Minervini, John C. Papadimitriou, Lois J. Arend, J Odorico, Marcelo Perosa, Candice Roufosse, Hanneke de Kort, Henrik M. Reims, Finn P. Reinholt, J. Goldberg, Eva Honsová, Luděk Voska, Erik Larsson, Steven Paraskevas, Surya V. Seshan, José Torrealba

Bibliographic record

VenueTransplantation · 2018
Typearticle
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicinePancreasBiopsyPancreas transplantationCuffGrading (engineering)GastroenterologyDuodenumTransplantationInternal medicineSurgeryRadiologyUrology

Abstract

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Introduction Accurate diagnosis of pancreas rejection is required for early, targeted treatment and function preservation. Pancreas biopsy considered the gold standard presents with sampling issues and perceived procedural risks that limit its widespread use. Evaluation of the graft duodenal cuff, through upper endoscopy in intestine drained pancreas transplants has been proposed as a surrogate of pancreas biopsy but the utility of this approach has not been tested. In this multicenter effort we retrospectively evaluated pancreas and duodenal tissues collected simultaneously to correlate findings of acute cell-mediated rejection (ACR) in these two organs and offer interpretation of duodenal cuff biopsies as a potential diagnostic surrogate for its corresponding pancreas allograft. Materials and Methods A total of 88 cases were evaluated retrospectively from allograft pancreas performed between 1995 and 2015, with incidentally or intentionally obtained duodenal cuff mucosa from 11 reference tranplant centers in the North and South Americas, E.U. and U.K. These cases were re-analyzed and graded for ACR. Sixteen cases were excluded due to inadequate pancreas or duodenal sample, possible non-rejection biopsy findings or samples that were not simultaneously obtained. Of the remaining 72 cases, 50 were biopsies and 22 were explant cases. The cases were graded according to the Banff schema for grading pancreas allograft rejection (Drachenberg et al 2008) and from the schema for histologic grading of small intestine allografts (Wu et al 2008). Results Of the 72 cases, 20 cases showed a diagnosis of rejection. All 20 (100%) cases showed rejection in both pancreas and duodenal tissue. Fifty eight cases (80.5%) showed results that were concordant for a final diagnosis of rejection/suspicious for rejection or no evidence of rejection. Of the 14 (19.5%) cases that showed complete discordance (either suspected or diagnostic for rejection in pancreas but not duodenum or suspected or diagnostic for rejection in duodenum but not pancreas) 2 cases (2.7%) showed findings of rejection in the duodenum but not pancreas and 12 cases (16.6%) showed findings of rejection in pancreas but not in duodenum. Discussion In this cohort with simultaneous histological evaluation of pancreas parenchyma and graft duodenal cuff, a diagnosis of ACR in the duodenum showed a positive predictive value of 100% for pancreas ACR. Therefore evaluation of the duodenal cuff appears to be a useful surrogate in the absence of pancreas parenchyma in this setting. On the other hand, absence of rejection in the duodenum did not totally exclude rejecion in the pancreas, with a negative predictive value of 83%. Results that were graded as indeterminate (suspicious for) rejection in duodenum were not reliable and had both low PPV and NPV for pancreas rejection. Our results are encouraging and indicate the potential value of duodenal cuff evaluation, as well as the need for additional studies.

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 score0.015
Threshold uncertainty score0.706

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 head0.062
GPT teacher head0.366
Teacher spread0.304 · 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".

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Citations6
Published2018
Admission routes1
Has abstractyes

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