Bortezomib in the treatment of refractory thrombotic thrombocytopenic purpura
Bibliographic record
Abstract
Acquired thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening condition caused by autoantibody-mediated inhibition of ADAMTS13 (a disintegrin and metalloproteinase with thrombospondin type-1 motif, 13). Therapeutic plasma exchange (TPE) improves survival, but disease may be refractory despite therapy. Management and treatment response of refractory TTP is variable, with rituximab and other immunosuppression often being used. Case reports have suggested a benefit of the proteasome inhibitor, bortezomib, possibly due to elimination of the autoreactive plasma cells producing anti-ADAMTS13 antibodies. We evaluated the effect of bortezomib in a series of primary refractory TTP patients unresponsive to intensive therapy. Bortezomib-treated patients were identified from consecutive cases managed at two UK referral centres. Demographic and clinical data were extracted from hospital records. ADAMTS13 activity was measured using a fluorescence resonance energy transfer VWF73 assay, and anti-ADAMTS13 IgG using enzyme-linked immunosorbent asssay. We identified six bortezomib-treated patients out of 51 consecutive cases of acute, acquired TTP. All patients received TPE, methylprednisolone and rituximab. Five of the six achieved complete remission with bortezomib, and one died of cardiac arrest due to underlying disease. No treatment-related adverse events were observed. Mean follow-up time after hospital discharge was 17 months (range: 3-33). Bortezomib appears effective in the treatment of a subgroup of cases with severe, refractory TTP. Prospective trials are required to further investigate this effect.
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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 | 0.000 | 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".