Real-world treatment patterns and burden-of-disease of sub-optimally controlled hereditary angioedema
Bibliographic record
Abstract
Background: Hereditary angioedema (HAE) is a rare disease characterized by unpredictable, recurrent subcutaneous or submucosal swelling that negatively impacts patients' health-related quality of life (HRQoL). Despite treatment goals aimed at achieving complete control of the disease and normalizing patients' lives, the disease remains poorly controlled for some patients. Objectives: To describe the demographic, clinical and treatment characteristics, as well as the HRQoL impairment of patients with sub-optimally controlled HAE type I/II per treating physician's judgment, focusing on understanding the factors influencing the burden of illness. Methods: A chart review was conducted at 32 HAE care centers across 18 European countries, Canada, and Israel between April 2022 and January 2023 in 214 patients aged ≥12 years with HAE type I/II sub-optimally controlled with on-demand treatment (ODT) and/or long-term prophylaxis (LTP). Patients receiving lanadelumab were excluded, as it was not yet widely available during the eligibility period. A cross-sectional survey at patient enrollment included the Angioedema Quality of Life (AE-QoL) and EQ-5D-5L questionnaires to assess the impact of HAE on HRQoL. Results: Patients with uncontrolled HAE had a mean (standard deviation [SD]) of 9.9 (13) attacks per year, with a mean (SD) duration of 1.9 (1) days per attack. During the one-year observation period, 50.5% of patients were on ODT only, 36.0% used LTP and ODT concurrently, 6.5% used LTP without ODT, and 7.0% were untreated. Attenuated androgens (AA; stanozolol and danazol) in LTP were used by 24.7% of patients, while tranexamic acid (TA) and C1-esterase inhibitor (C1-INH) replacement products were used for LTP by 9.8% and 6.5%, respectively. The mean (SD) AE-QoL total score was 44.4 (24.0), indicating a moderate level of impairment, with women experiencing worse HRQoL (total score of 50.9 [SD 24] vs 37.3 [SD 23] in men) [where the minimal clinically important difference is 6 points] [1]. HRQoL worsened with increasing attack rates, from 41.4 (SD 24.0) among patients with one to 5 attacks/year, still indicating moderate impairment in HRQoL, to 73.0 (SD 27.0) for patients with >40 attacks/year. Conclusions: Suboptimal disease control in HAE was associated with the use of ODT only, as well as LTP mainly with AA/TA. It imposes a substantial burden on patients' HRQoL, more particularly, but not exclusively, for those with frequent attacks and for women. The results suggest a need for improved HAE management.ClinicalTrial.gov study identifier NCT04957641.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".