People With Adrenal Insufficiency Who Are in Adrenal Crisis Are Frequently Unable to Self-Administer Rescue Injections
Bibliographic record
Abstract
OBJECTIVE: Individuals with adrenal insufficiency (AI) are at risk of acute adrenal crisis and death, particularly during illness or trauma, and may require rapid treatment with parenteral glucocorticoid such as hydrocortisone to manage a crisis. Current guidelines recommend timely self-injection in an evolving crisis. Little is known about the patient experience with emergency injections. We surveyed people with AI regarding success with emergency injections. METHODS: In 2022 a survey was conducted through the National Adrenal Diseases Foundation website of individuals with AI or their caregivers about experience with managing an adrenal crisis. They reported on adrenal crisis events that required an emergency cortisol injection and the success or failure of the injection, context of the event and reasons for failure. RESULTS: Nearly half (41%) of adrenal insufficient patients were unable to self-administer an emergency glucocorticoid injection, citing effects of their crisis-associated illness and confusion as major barriers. Failed injections led to bad outcomes (sicker, need for hospitalization, or death) in 36% of cases. CONCLUSIONS: Effective, timely, management of an impending adrenal crisis can prevent progression to hospitalization, multisystem failure requiring intensive care unit care, and death. Reliance solely on patient self-injection may result in worse outcomes. Treating physicians should include patient education about injections and specific practical instruction in the technique, as well as the potential need for assistance in a crisis. US Food and Drug Administration approval of a glucocorticoid autoinjector, greater engagement with Emergency Medical Services clinicians, hospital emergency staff, and other health care professionals, is key for future success in managing adrenal crises.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".