Centralized care model for hereditary angioedema overcomes geographical barriers
Bibliographic record
Abstract
Hereditary angioedema due to C1 inhibitor deficiency (HAE) is a rare inborn error of immunity that presents with episodic swelling. Management is multifaceted and includes on-demand treatment of swelling episodes, short-term prophylaxis to prevent swelling episodes from procedures, and long-term prophylaxis (LTP) to prevent angioedema on an ongoing basis. All approved on-demand therapies are parenteral, necessitating patient training for home administration, particularly intravenous C1 inhibitor. These complexities can result in care gaps for rural HAE patients. We conducted a cross-sectional study at our Angioedema Center of Reference and Excellence to assess the care provided to urban and rural patients. The proportion of patients receiving LTP, proportion of patients diagnosed as children, and disease control measured using the Angioedema Control Test (AECT) were collected. Logistic and Poisson regression models adjusted for age and sex were used to compare the two groups. The proportion using LTP was similar at 62% and 61% in urban and rural patients, respectively (odds ratio [OR] 1.01 (CI 95% 0.34-2.99)). Among urban patients, 52% were diagnosed as children compared to 60% among rural residents (1.43 (0.37-5.56)). The mean (IQR) AECT score was 14.0 (8.5-15.5) in urban patients and 13.0 (10.0-14.0) in rural patients (Poisson β -0.001 (-0.23-0.23). These data indicate that rural patients received similar high-quality care. We attribute these findings to the centralized care model employed in which HAE patients in the region are seen at a single comprehensive care clinic.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".