Two approaches to the clinical dilemma of treating TTP with therapeutic plasma exchange in patients with a history of anaphylactic reactions to plasma
Bibliographic record
Abstract
BACKGROUND: Thrombotic thrombocytopenic purpura (TTP) is a rare but serious disease caused by autoantibody-mediated deficiency in von Willebrand factor (VWF) cleaving protease, ADAMTS-13. The primary acute treatment is therapeutic plasma exchange (TPE). However, some patients can develop allergic/anaphylactic reactions to the replacement (i.e., donor) plasma over time. Two potential treatment strategies for patients with TTP who demonstrate severe allergic reactions to plasma used for exchange were examined. METHODS: Two patients with TTP exacerbations who developed severe allergic reactions to donor plasma were identified. One patient's TPE was re-initiated with Octaplas, a lot-batched solvent and detergent treated, type-specific, pooled donor plasma product. The other patient was exchanged with primarily albumin, followed by slow incremental exposures to donor plasma to mitigate exposures and allergic risks. Both patients were assessed for anaphylaxis. RESULTS: Both treatment strategies were successful in preventing any further clinically significant allergic/anaphylactic reactions and facilitated both patients' TTP remissions. CONCLUSIONS: Based on our experience with two similar patients with TTP exacerbations and history of anaphylactic reactions to plasma during TPE, we have identified two possible treatment protocols to achieve remission in this clinical dilemma. Substituting Octaplas for standard plasma or, alternatively, using albumin with slowly increasing amounts of standard plasma may help to mitigate the risk of further anaphylactic adverse events. J. Clin. Apheresis 32:158-162, 2017. © 2016 Wiley Periodicals, Inc.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".