Risk of catecholaminergic crisis following glucocorticoid administration in patients with an adrenal mass: a literature review
Bibliographic record
Abstract
BACKGROUND: Glucocorticoids as diagnostic or therapeutic agents have been reported to carry an increased risk of catecholaminergic crisis (CC) in patients with pheochromocytoma or paraganglioma (PPGL). METHODS: We searched literature databases using the following terms: pheochromocytoma, paraganglioma, adrenal incidentaloma, steroids, glucocorticoids, dexamethasone suppression test (DST), hypertensive crisis, cosyntropin and CRH. From all published case reports (1962-2013), we reviewed medical history, presenting symptoms, dose and route of steroid administration, location and size of adrenal mass, biochemical phenotype and outcome. RESULTS: Twenty-five case reports describing a CC were identified. Three patients with an adrenal incidentaloma suffered a CC following high-dose DST, and in one case, this was fatal. In two of these patients, biochemical testing missed the diagnosis, and in the third, a DST was done despite elevated urinary metanephrines. No CC has been reported for patients undergoing a low-dose DST. Three of 16 patients who received therapeutic glucocorticoids and four of six patients following cosyntropin testing died. No specific biochemical phenotype was related to adverse events. CONCLUSIONS: Although a causal relationship cannot be established from this review, it seems prudent to exclude a PPGL in patients with a large incidentaloma or when high-dose DST is considered in a patient with an incidentaloma of any size. Our literature review does not support the need for biochemical testing for PPGL prior to a low-dose (1 mg) DST. Finally, before starting therapeutic glucocorticoids, any clinical signs or symptoms of a potential PPGL should prompt reliable biochemical testing to rule out a PPGL.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".