P.089 Recovery from chronic secondary adrenal insufficiency in patients with pituitary disorders
Bibliographic record
Abstract
Background: Patients with pituitary disorders may be placed on steroid replacement for secondary adrenal insufficiency (SAI), generally after pituitary surgery; however, data regarding recovery of long-term SAI are lacking. We conducted a study to assess the longer term recovery rate of SAI in patients with pituitary disorders. M ethods: We identified all SAI patients from prospectively entered data in the Halifax Neuropituitary Database from November 1, 2005 to September 30, 2014, who had required glucocorticoid therapy for >3 months, and a minimum follow-up of 6 months. Exclusion: ACTH-secreting adenomas; peri-operative glucocorticoid treatment only; glucocorticoids for non-pituitary conditions. Results: 55 patients fulfilled the criteria, 41 (75%) of which had transsphenoidal surgery. Nine (16.4%) patients had complete recovery of SAI over a median of 20 months (range: 8–51). Smaller tumour size and initial cortisol >175 nmol/L had increased likelihood of recovery; those with secondary hypogonadism or growth hormone deficiency were less likely to recover. Conclusions: This is the first study to examine long-term recover of SAI in patients with pituitary disorders: approximately 1 in 6 patients recover adrenal function, up to 5 years after diagnosis. Consequently, patients with SAI should undergo regular testing to prevent unnecessary chronic glucocorticoid therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".