Self-administration of a novel subcutaneous bradykinin b2 receptor antagonist, icatibant, as an effective treatment option in patients with hereditary angioedema
Bibliographic record
Abstract
Hereditary Angioedema (HAE) is a rare disease characterized by recurrent angioedema attacks involving larynx, abdomen, extremities and various body parts. The reactions are by and large self-limited, but potentially, could be fatal. Until recently, the only approved treatment in Canada is an intravenous C1-esterase inhibitor infusion. However, intravenous therapy can be challenging for those who have co-morbid disorders. Icatibant (Firazyr®) —which received approval in Canada in June 2014 — offers administration through subcutaneous delivery. Through a special access program, here we present self-administered icatibant treatment on a female subject with Charcot-Marie-Tooth disease, a rare genetic, neuromuscular disorder, which limits her ability to self-administer intravenous therapy. During each icatibant self-administration event, a diary method was used to collect the following patient-reported outcomes: attack intensity, anatomical location & trigger, number of doses, onset of relief, time elapsed until complete resolution, and adverse reactions. From 2012- May 2014, the patient logged a total of 12 events, in which she treated each attack with a single self-administered 30 mg dose of icatibant via subcutaneous injection. She experienced moderate to severe abdominal and peripheral HAE attacks. Onset of relief occurred within 15 – 30 minutes and complete resolution occurred within 4-hours to 5-days. Adverse reactions were mild in severity, transient, and resolved without further intervention. They included local injection site reaction (100%), headache (58%), fatigue (25%), feeling “fuzzy-brained” (25%), and hot flush (8%). This case report provides supporting evidence for icatibant as an effective, safe and viable subcutaneous therapeutic alternative to intravenous treatments for patients with HAE.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".