Adrenal Cushing Syndrome Diagnosed During Pregnancy: Successful Medical Management With Metyrapone
Bibliographic record
Abstract
Adrenal Cushing syndrome during pregnancy is rare, and there is limited information on the effect and safety of metyrapone treatment both for mother and fetus. We present a 24-year-old woman diagnosed with adrenal Cushing syndrome at the end of the second trimester. We elected treatment with metyrapone titrated to 250 mg 3 times daily, resulting in good clinical response and maternal serum and saliva cortisol levels in the upper half of the normal pregnancy range. A healthy male infant was born at 35 weeks' gestation, with no clinical signs of adrenal insufficiency, this despite a low cortisol of 5 nmol/L on the first day of life. We measured metyrapone in maternal and umbilical cord blood samples, demonstrating fetal venous metyrapone levels similar to maternal venous concentration, and a fetal arterial cord concentration at about 60% of the fetal venous cord concentration. This case demonstrates that salivary cortisol levels may be used to monitor the effect of metyrapone on adrenal Cushing syndrome during pregnancy. We show, for the first time in humans, that metyrapone does cross the placenta and may suppress fetal cortisol production without necessarily causing clinical signs of adrenal insufficiency.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".