Immunoadsorption may provide a cost‐effective approach to management of patients with inhibitors to FVIII
Bibliographic record
Abstract
BACKGROUND: Immunoadsorption of plasma with Staphylococcal protein A removes immunoglobulins and immune complexes; hence, it should effectively remove inhibitors to FVIII in acquired or congenital hemophilia. The procedure may be cost effective, given the expense of therapies used to treat patients with inhibitors, particularly in an acute setting. STUDY DESIGN AND METHODS: Three patients with inhibitors to FVIII were treated with the Excorim Immunosorba system (two columns used in tandem). Costs for immunoadsorption and for other therapeutic products administered to the patients were calculated. RESULTS: Two patients had acquired hemophilia and severe bleeding associated with low levels of circulating FVIII and high levels of inhibitors to FVIII. They failed to achieve a satisfactory response to management with immunosuppression, pFVIII, recombinant FVIIa or IVIG but responded rapidly, with long-term benefit, to immunoadsorption therapy. The third patient had congenital hemophilia and immunoadsorption was effective in reducing his inhibitor level, allowing him to undergo immune tolerance therapy. Costs of treatment before immunoadsorption were markedly higher than those associated with the immunoadsorption procedures (i.e., >Can 350,000 dollars and >Can 1,000,000 dollars vs. < 20,000 dollars). CONCLUSION: Immunoadsorption appears to be an effective and cost-effective alternative in the management of patients with inhibitors to FVIII.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.008 | 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".