PF328 PREDICTORS OF TREATMENT RESPONSE TO IMMUNOSUPPRESSANTS IN ACQUIRED HEMOPHILIA A
Bibliographic record
Abstract
Background: Acquired hemophilia A (AHA) is a rare bleeding disorder, caused by inhibitors against factor VIII, which may result in life‐threatening bleeding. Management of AHA is two pronged ‐ to arrest bleeding with hemostatic agent and to eradicate FVIII inhibitors by immunosuppressants. However, immunosuppressants are associated with frequent adverse events, with infection being the leading cause of morbidity and mortality. Identifying predictors of treatment response may help tailor treatment strategies and reduce treatment associated adverse events. Aims: The aims of the study were to evaluate the presenting features, treatment, and outcomes of patients with AHA in our local population, to identify the predictors of normalization of aPTT after immunosuppressive therapy and overall survival; and to investigate the patient characteristics that predict normalization of aPTT by steroid alone within 6 weeks. Methods: This was a retrospective multi‐center study which recruited 108 patients diagnosed with AHA between 1st January 2002 and 31st December 2016. AHA is defined by the presence of a neutralizing FVIII inhibitor ≥ 0.6 Bethesda units (BU)/ml and a FVIII activity <50%. Patients with congenital hemophilia A with inhibitors were excluded. Prognostic factors for normalization of aPTT and overall survival were analyzed using Cox proportional hazards regression analysis. Results: Normalization of aPTT was an independent predictor of overall survival (OR 0.14, 95% CI 0.07–0.27, P < 0.001). Patients with ECOG performance status ≤2 were more likely to attain normal aPTT (HR 2.09, 95% CI 1.28–3.42, P 0.003) while patients with underlying autoimmune diseases were less likely to achieve normal aPTT (HR 0.46, 95% CI 0.23–0.91, P 0.027). Female (OR 3.73, CI 1.15–12.2, P 0.028) and an inhibitor titer ≤20 BU/ml (OR 4.3, CI 1.36–13.63, P 0.013) predicted a higher chance of normalization of aPTT with steroid alone within 6 weeks. Summary/Conclusion: Identification of patients who are more likely to respond to steroid alone within 6 weeks may avoid unnecessary immunosuppressants and thus reduce treatment‐related adverse events. This finding may help individualize treatment strategies. Normalization of aPTT was an independent prognostic factor of survival. This finding echoed other studies and reiterated the importance of achieving remission. To date, the optimal immunosuppressive strategy remains elusive. Further high‐quality evidence is needed to guide the choice and intensity of treatment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".