Control of <scp>AA</scp> amyloidosis complicating Crohn's disease: a clinico‐pathological study
Bibliographic record
Abstract
BACKGROUND: Immunosuppressive drugs may prevent or partially reverse progression of renal AA-amyloidosis, a rare complication of Crohn's disease, often fatal due to renal failure. MATERIALS AND METHODS: The clinical, biological and pathological data of 16 patients treated since 1976 were reviewed. Serum amyloid A was determined in surviving patients. RESULTS: The median age of the 16 patients (13 men) was 23·5 years (range 16-69). At Crohn's disease onset, Montreal phenotypes were similar to reported data. Out of 15 patients with renal insufficiency, 8 developed a nephrotic syndrome and 7 a low grade proteinuria. The single patient without renal insufficiency had nephrotic syndrome. A significant correlation (P < 0·05) between the extension of renal amyloid A and sclerosis was found in 12 patients. One patient had a 10 year remission of nephrotic syndrome with immunosuppressive drugs. In 6 patients treated with anti-TNF-α (Tumor-Necrosis-Factor-α) agents, anaphylactic reaction (1/6), death from septic shock (1/6), 5-year remission (1/6) or reduction of nephrotic syndrome (1/6) and stabilization of renal insufficiency (2/6) were observed. Surgery was performed in 10 patients. Kidney transplantation was performed in 5 of the 8 patients dialysed for end-stage renal failure. Among 6/16 patients (37%) still alive, 3 belong to the 5 transplanted patients (survival: 3-20 years) and 3 to the anti-TNF-α drugs treated patients; all but one exhibited a low serum amyloid A level. CONCLUSIONS: Suppression of Crohn's disease inflammation potentially leads to the control of amyloid A production, assessed by a decrease of serum amyloid A. Kidney transplantation provides a long survival.
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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) | 0.000 | 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) | 0.000 | 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".