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Record W4409954213 · doi:10.1016/j.ajt.2025.04.020

Rejection and graft vasculopathy secondary to effects of Crohn's disease in a heart-transplanted child

2025· article· en· W4409954213 on OpenAlexaff
Shannon Oliver, Jennifer Conway, Darren Freed, Anne Halpin, H Huynh, Michael Khoury, Cheryl Kluthe, E. Dijke, Lori J. West, Simon Urschel

Bibliographic record

VenueAmerican Journal of Transplantation · 2025
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsUniversity of AlbertaUniversity of Alberta HospitalStollery Children's Hospital
Fundersnot available
KeywordsMedicineHeart transplantationCardiac allograft vasculopathyCrohn's diseaseHeart diseaseCardiologyDiseaseInternal medicineTransplantation

Abstract

fetched live from OpenAlex

Patients require immunosuppression after heart transplantation. Conditions such as Crohn's disease can impact tacrolimus absorption and pharmacokinetics. Subtherapeutic tacrolimus levels can lead to rejection and development of donor-specific antibodies (DSA), resulting in the development of cardiac allograft vasculopathy. We present a boy who underwent an ABO blood groupincompatible heart transplant at 10 months of age, and developed diarrhea and subtherapeutic tacrolimus levels with subsequent development of de novo DSA, and then acute cellular and antibody-mediated rejection. He was diagnosed with Crohn's disease, which required vedolizumab for control. Despite aggressive reduction of his DSA, he developed rapidly progressive cardiac allograft vasculopathy and required retransplant, with a high prevalence of plasma cells in the explanted heart. Donor-directed blood group antibodies remained negative. This case demonstrates the importance of early consideration of inflammatory bowel disease for patients with diarrhea and subtherapeutic tacrolimus levels, as prompt diagnosis and treatment may prevent secondary graft injury.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.276
Teacher spread0.273 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations1
Published2025
Admission routes1
Has abstractno

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