Towards a prophylactic treatment of HPA-related foetal and neonatal alloimmune thrombocytopenia
Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose of the review is to show the similarities between haemolytic disease of the foetus and newborn (HDFN) and foetal and neonatal alloimmune thrombocytopenia (FNAIT) and to describe the background and challenges related to the current endeavours of developing a prophylaxis against FNAIT. The rationale for this prophylaxis is similar to the prophylaxis which has been used with great success for the last 40 years against RhD-associated HDFN. The idea is to prevent human platelet antigen (HPA)-1a-associated FNAIT by administering anti-HPA-1a immunoglobulin G (IgG) to nonimmunized HPA-1a-negative women after delivery of an HPA-1a-positive child. RECENT FINDINGS: Results from a Norwegian screening and intervention study on FNAIT have indicated that about 75% of women with antibodies against HPA-1a are immunized in relation to delivery. This observation leads to the possibility of preventing HPA-1a-associated FNAIT in the same way as today's prevention of HDFN. Results from a proof-of-concept study in a murine FNAIT model have shown that the production of alloantibodies against platelets can be suppressed by administrating antiplatelet antibodies after the antigenic challenge. Even more interesting, the prophylactic antiplatelet antibodies could also significantly reduce the clinical consequences of FNAIT in this FNAIT model. SUMMARY: These novel observations have paved the way for clinical studies. Production and testing of anti-HPA-1a IgG for clinical use will be carried out by a European Union-funded consortium. If the results from the clinical trial are favourable, there is a chance that a medicinal product for the prevention of FNAIT will be available within this decade.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 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 teacher head, 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".