Adrenal function following acute discontinuation of glucocorticoids in children with acute lymphocytic leukemia: A prospective study
Bibliographic record
Abstract
Background: Children with acute lymphocytic leukemia (ALL) are enrolled in advanced treatment protocols involving high doses of glucocorticoids (GCs). Current protocols do not advocate tapering of GCs doses postinduction phase. Prolonged administration of supra-physiologic doses of GCs can induce transient suppression of the hypothalamic pituitary adrenal axis (HPA). Timely recognition of adrenal insufficiency is important in order to ensure that children at risk receive the necessary treatment and follow-up including stress coverage during illness and surgical procedures.Methods: 21 newly diagnosed patients with ALL aged 3–10 years old were prospectively enrolled in the study over a 2-year period. All enrolled patients received high doses of GCs as part of a chemotherapy treatment protocol. The HPA axis was assessed prior to the induction phase of chemotherapy and 1–2 weeks after un-tapered discontinuation of GCs.Results: All children had normal HPA axis at baseline. Postinduction 1 mcg ACTH stimulation test result was normal (cortisol > 500 nmol/L) in 75% of children and partially responsive in 25% (cortisol 300–500 nmol/L). None of the participants demonstrated clinically significant adrenal insufficiency following abrupt cessation of GCs.Conclusion: All children in our cohort had either normal or subnormal cortisol response during a low dose ACTH stimulation test 1 to 2 weeks following abrupt discontinuation of GCs, suggesting that any inhibition of the HPA axis is of short duration. We suggest that future studies investigate the timing of adrenal function recovery following GC discontinuation as well as whether tapering of the GC should be recommended.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".