Self-administration of intravenous C1 esterase inhibitor (Berinertâ) in patients with Hereditary Angioedema decreases number of days spent in an emergency room
Bibliographic record
Abstract
Hereditary Angioedema (HAE) is a rare, inherited, autosomal dominant disease caused by a deficiency in C1-esterase inhibitor. It affects one in every 50,000 to 100,000 individuals. There were no approved treatments for HAE in North America until 2009, when C1-esterase inhibitor (Berinertâ) was released. It is an intravenous medication that requires patients to present to an emergency room (ER) for treatment. We present two cases of patients with HAE who self-administered the medications, decreasing their number of emergency room visits substantially. Cases were obtained from office visits with an allergist and continued communication with the patients. The first patient averaged around 17 visits to an ER per year. She and her husband are both paramedics and they were able to start intravenous lines for the required infusion at home. After she began self-administering the medication, she had no further visits to an emergency room. The second patient suffered from very frequent attacks and had poor venous access. In 2009, she had 37 ER visits and in 2010 alone, 48 visits. A Hickman catheter was placed in her internal jugular vein for easy access. After she began self-administration 5 months ago, she has had only 3 presentations to the ER. Self-administration of C1-esterase inhibitor (Berinertâ) dramatically improved the lives of these two young patients, and resulted in a considerable decrease in the number of days spent in an emergency room.
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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 | 0.001 |
| 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".