Acquired haemophilia A: A 15‐year population‐based review of incidence rate, patient demographics and treatment outcomes
Bibliographic record
Abstract
INTRODUCTION: Acquired haemophilia A (AHA) is a rare bleeding disorder characterized by autoantibodies against coagulation factor VIII (FVIII). Estimates of AHA incidence are largely based on registry data, which may be prone to referral bias. Population-based studies can enhance our understanding of the epidemiology, presentation and outcomes of AHA. METHODS: We conducted a retrospective, population-based cohort study of all AHA diagnosed and treated in Manitoba, Canada over a 15-year period. Using records from the sole provincial reference laboratory, we identified all patients with FVIII inhibitors who did not have congenital haemophilia. Using a piloted case report form, patient data was ascertained from hospital and bleeding disorder clinic records. RESULTS: From 2006 to 2021, we identified 34 patients with AHA, corresponding to a population-based incidence rate of AHA of 1.78 cases per million per year. The median age at presentation was 76 years and most cases were idiopathic (79%). Almost all patients (97%) presented with bleeding, of which 58% were considered major bleeds and required haemostatic agents in 67%. Longstanding unexplained bleeding symptoms were commonly reported, suggesting delayed diagnosis. Immunosuppressive therapy (IST) was administered in 88% of patients. Remission was achieved in 79% of patients; median time to remission was 2.1 months. There were two deaths due to bleeding. No deaths due to IST were reported. CONCLUSION: The population-based incidence of AHA in Manitoba is 1.78 cases/million/year. Bleeding is common and can be life-threatening. AHA outcomes are encouraging with the use of haemostatic agents and IST. Serious treatment-associated morbidity and mortality is uncommon.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".