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S1142 The Alberta Exception Pathway for Liver Transplant for Alcohol-Related Liver Disease Patients Without 6 Months of Abstinence: A Retrospective Look

2021· article· en· W3209580207 on OpenAlexaffabout
Kinjal Patel, Juan Abraldes, Malcolm Wells, Mina Niazi, Vincent G. Bain

Bibliographic record

VenueThe American Journal of Gastroenterology · 2021
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsUniversity of SaskatchewanUniversity of Alberta
Fundersnot available
KeywordsMedicineAbstinenceLiver diseaseAlcoholic liver diseaseLiver transplantationReferralAlcoholic hepatitisHepatitis CChecklistInternal medicinePediatricsTransplantationFamily medicinePsychiatryCirrhosis

Abstract

fetched live from OpenAlex

Introduction: Increasing evidence supports liver transplant in selected patients with alcohol related liver disease (ALD) without six months of abstinence. Though there is emerging data on those accepted for transplant, there is little data on patients not accepted through this pathway. Studies on candidate selection can help improve the selection criteria. Methods: Referrals made to on-call hepatologists were documented on paper copies of inclusion criteria checklists. Those meeting criteria were accepted for assessment by a multi-disciplinary team. Patients deemed good candidates were listed for transplant. While on the transplant waitlist, patients underwent random blood alcohol testing as proof of ongoing abstinence. We retrospectively analyzed data from the inclusion criteria checklists. Chart reviews were conducted to determine date of last follow-up and living status. Statistical analysis were carried out to compare characteristics between patients accepted for assessment and those declined at initial referral. These included average age, average MELD-Na and checklist criteria. Results: We reviewed 56 referrals to the Exception Pathway from August 2018 to October 2020. Of these, 3 were excluded due to missing data. From the 53 referrals, 37 (70%) were declined at initial triage and 16 (30%) were accepted for full assessment. Although there was no difference in age or sex, the average MELD-Na was higher for accepted patients (37) than those declined (31). Analysis of individual inclusion criteria showed a significant difference between groups for all criteria except for presence of co-morbid drug use (Table 1). Of the 53 referred, 23 had no evidence of alcoholic hepatitis (AH), 2 were unclear and 14 met criteria. Further criteria were applied to patients with AH. Analysis of these revealed no difference between the groups in regards to non-responsiveness to steroids or previous non-compliance. As compared to those not accepted, accepted patients had no significant difference in survival at last known date of follow-up. Of those accepted for assessment, six were listed for transplant, three were transplanted, two patients died while listed and one improved. Conclusion: Our retrospective study is unique as it characterizes patients not accepted through this pathway. Criteria that showed no difference between groups, raise the question of whether they should be included in the initial assessment. Further data on patients rejected through this pathway is need to help improve selection criteria.Table 1.: Tacrolimus-based immunosuppressive management among liver transplant recipients hospitalized with SARS-CoV-2 infection a Time from positive SARS-CoV-2 PCR nasal swab to tacrolimus trough b AST and ALT values at time of admission Abbreviations: ALT, alanine aminotransferase, aspartate aminotransferase, AST; LT, liver transplant; MMF, mycophenolate mofetil; IS, immunosuppression; Pred, prednisone; Tac, tacrolimus

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.917
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.303
Teacher spread0.277 · 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 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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Citations0
Published2021
Admission routes2
Has abstractyes

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