Post-transplant diabetic ketoacidosis - A possible consequence of immunosuppression with calcineurin inhibiting agents: A case series
Bibliographic record
Abstract
Post-transplant diabetes mellitus, a complication due to corticosteroids and the calcineurin inhibitors, cyclosporine and tacrolimus (FK506), is commonly regarded as a form of type-2 (adult-onset) diabetes mellitus. Diabetic ketoacidosis, which requires relative insulin deficiency to impair fatty acid metabolism, is a complication of type-1 diabetes mellitus. We report three patients who presented with diabetic ketoacidosis post-transplant. All three patients presented with severe hyperglycemia, significant ketosis and metabolic acidosis of variable severity. One patient was a renal transplant recipient on a cyclosporine-based regimen. The other two patients were liver transplant recipients receiving either cyclosporine or tacrolimus-based immunosuppression. Both of the liver transplant recipients were found to have moderate to high serum levels of calcineurin inhibitors on presentation. The liver recipient on cyclosporine (Neoral) had a 4 hour post-dose level of 388 ng/ml and the patient on tacrolimus was found to have a trough level of 21.2 ng/ml. Our experience suggests that post-transplant diabetes mellitus, in association with calcineurin inhibition, may result in ketoacidosis either secondary to relative beta cell dysfunction, peripheral insulin resistance, or a combination of the two effects. Post-transplant diabetes mellitus can be an atypical form of adult-onset diabetes with features of both type I and type II diabetes mellitus.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".