The Impact of Total Gastrectomy on Pharmacokinetics in Kidney Transplant Immunosuppressive Drug Regimes
Bibliographic record
Abstract
BACKGROUND: Ensuring reliable gastrointestinal drug absorption of orally administered immunosuppressive medications posttransplant is critical to ensuring graft survival. METHODS: A 66-year-old man of East Asian origin with a previous total gastrectomy was evaluated for living donor kidney transplantation. Pretransplant pharmacokinetic testing was performed to determine the most appropriate posttransplant medication strategy. The Gastrointestinal Quality of Life Index and Gastrointestinal Rating Scale questionnaires were administered to gauge immunosuppressive medication-related side effects in the absence of a stomach. RESULTS: The patient's ability to absorb cyclosporin, tacrolimus (Tac), enteric-coated mycophenolate sodium (EC-MPS) and sirolimus (SRL) in oral dosage forms was well-preserved. Compared to nongastrectomy reference populations, the rate and extent of absorption of SRL and mycophenolic acid from EC-MPS were similar. The absorption of Tac and cyclosporin was greater than expected. Mycophenolate mofetil did not provide mycophenolic acid absorption as well as EC-MPS. The patient had worsened gastrointestinal symptoms with mycophenolate mofetil or EC-MPS in combination with Tac and cyclosporin, but this was not seen with isolated SRL. CONCLUSIONS: This case demonstrates that commonly used postkidney transplantation immunosuppressive regimes may be prescribed after total gastrectomy as long as their limitations are noted.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".