Evaluating the Low-Dose ACTH Stimulation Test in Neonates: Ideal Times for Cortisol Measurement
Bibliographic record
Abstract
CONTEXT: Low-dose adrenocorticotropic hormone stimulation testing (LDST) can be used to diagnose central adrenal insufficiency. However, uncertainty remains over optimal times to draw serum cortisol levels. OBJECTIVE: To determine optimal times to draw serum cortisol levels for the LDST in neonates. DESIGN: A retrospective chart review of LDSTs performed on neonates from January 1, 2009 to September 30, 2017. SETTING: Children's Hospital of Eastern Ontario (CHEO), a tertiary-care outborn pediatric center. PATIENTS: Forty-nine patients were included: 23 (46.9%) born at term, 12 (24.5%) born very preterm to late preterm, and 14 (28.6%) born extremely preterm. INTERVENTION: Cortisol levels were drawn at baseline and 15, 30, and 60 minutes following administration of Cortrosyn 1 mcg/kg (maximum dose 1 mcg). MAIN OUTCOME MEASURE: Timing of peak cortisol level and marginal value of drawing a second and third cortisol sample at 15, 30, or 60 minutes was determined. RESULTS: Cortisol peaked at 15-, 30-, and 60-minute sampling times for 4%, 27%, and 69% of patients, respectively. The probability that a failed LDST changes to a pass by adding a 15- or 30-minute sample to the superior 60 minute sample is 5.6% (1% to 25.8%) and 11% (3.1% to 32.6%), respectively, for a cortisol pass threshold of 18.1mcg/dL (500 nmol/L). CONCLUSIONS: In contrast to studies of older children, we found that the majority of neonatal LDST cortisol peaks occurred at the 60-minute sampling time with the addition of a 30-minute sample providing substantial benefit. It is questionable if a 15-minute sample provides any benefit, making a case to revise LDST protocols to sample cortisol later for neonates.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".