Bilateral Adrenalectomy for Primary Bilateral Macronodular Adrenocortical Hyperplasia With a Novel <i>ARMC5</i> Mutation Site
Bibliographic record
Abstract
Primary bilateral macronodular adrenocortical hyperplasia (PBMAH) is a heterogeneous disorder, with clinical spectrum ranging from subclinical to severe overt Cushing syndrome (CS). Armadillo repeat containing 5 (ARMC5) mutations, found in 20-55% of cases, are often associated with more severe disease, and specific genotypes may correlate with distinct phenotypes. A 60-year-old woman was admitted with a 1-year history of progressive weight gain and hypokalemia, alongside a 13-year history of refractory hypertension. She exhibited classic CS features and metabolic complications, including hypertension and diabetes. Laboratory tests revealed elevated cortisol, suppressed adrenocorticotropic hormone (ACTH), and positive low- and high-dose dexamethasone suppression tests. Contrast-enhanced computed tomography (CT) showed bilateral irregular macronodular adrenal masses. Adrenal venous sampling (AVS) demonstrated no lateralization (lateralization index < 4). Whole-exome sequencing of peripheral blood leukocytes identified a novel ARMC5 mutation (c.534_555dup, p.Ser186Profs*19). A right adrenalectomy was performed in 2023. Although symptoms improved, cortisol levels remained significantly elevated. Consequently, a left adrenalectomy was performed 15 months later in 2024, which led to marked improvement in her CS symptoms, biomarker levels, and metabolic complications. This case report describes a novel ARMC5 mutation site in a PBMAH patient who ultimately required bilateral adrenalectomy. While AVS combined with CT can help determine the dominant side for surgery, patients with ARMC5 mutations and symmetrically sized tumors often require bilateral adrenalectomy for cure.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".