Efficacy and safety of azathioprine in patients with Cronkhite-Canada syndrome: a case series from Peking Union Medical College Hospital
Bibliographic record
Abstract
BACKGROUND: Cronkhite-Canada syndrome (CCS) is a rare non-hereditary chronic inflammatory disease characteristic of gastrointestinal polyps and ectodermal abnormalities. Corticosteroid therapy is the mainstay medication for CCS. Few studies indicated immunosuppressants might be the choices for patients with steroid refractory, steroid dependent or intolerant. AIM: To examine the efficacy and safety of azathioprine (AZA) in CCS patients. METHOD: We retrospectively reviewed the records of 12 CCS patients treated with azathioprine between July 2014 and October 2023 and the clinical data including demographic characteristics, treatment regimen and adverse events were subsequently collected and analyzed. The genetic variants of TPMT and NUDT15 genes were also retrospectively assessed using sanger sequencing in 11 patients. OUTCOME: All patients were in active stage at baseline and 9 patients (75%) were in combination with corticosteroid. On account of the indication, 6 patients were steroid dependent or intolerant and another 6 patients needed augmentation therapy. The target dose of AZA was 1.0 to 1.5 mg/kg per day. Ten (83.3%) patients achieved clinical response, of whom 3 cases had endoscopic remission and 5 cases had endoscopic improvement respectively. Three (25%) patients suffered from pneumocystis carinii pneumonia, liver dysfunction and leukopenia, respectively, resulting in cessation of AZA in the initial 3 months. Four heterozygous missense variants of TPMT and NUDT15 were identified in four patients. One patient who had TPMT*6 and took AZA with the dose of 2.04 mg/kg per day suffered from severe leukopenia. CONCLUSION: Azathioprine might be a good alternative medication in CCS patients who are steroid dependent or intolerant, or need augmentation therapy. The adverse events should be closely monitored especially myelosuppression and the tests of TPMT and NUDT15 genotypes before therapy may be helpful for medication guidance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".