Screening for Nonclassic Congenital Adrenal Hyperplasia in the Era of Liquid Chromatography-Tandem Mass Spectrometry
Bibliographic record
Abstract
CONTEXT: Screening for and diagnosing non classic congenital adrenal hyperplasia (NCCAH) uses serum 17-hydroxyprogesterone (17OHP) thresholds established from immunoassay data; however, a new liquid-chromatography tandem mass spectrometry (LC-MS/MS) method results in lower 17OHP values. The evolution of immunoassays is also challenging our diagnostic cut-off for glucocorticoid insufficiency and few data re-evaluate the utility of testing for glucocorticoid insufficiency in NCCAH. OBJECTIVE: (1) Evaluate the 17OHP threshold that predicts NCCAH in children using LC-MS/MS, and (2) determine the prevalence of glucocorticoid insufficiency in NCCAH. METHODS: A retrospective chart review of pediatric patients who underwent ACTH stimulation tests with cortisol and 17OHP measurements from 2011 to 2018 for assessment of NCCAH. Other adrenal pathologies were excluded. A cortisol < 415 nmol/L defined glucocorticoid insufficiency. Published correlation data determined a 17OHP of 3.3 nmol/L by LC-MS/MS was equivalent to 6 nmol/L by immunoassay. Data analysis was by measures of diagnostic accuracy. RESULTS: 6 nmol/L most accurately screened for NCCAH-sensitivity and specificity 96%. Almost all genetically confirmed NCCAH (20/21) had peak 17OHP > 30 nmol/L; all subjects with other diagnoses peaked < 30 nmol/L. Glucocorticoid insufficiency was present in 55% with NCCAH. CONCLUSIONS: 6 nmol/L most accurately screened for NCCAH; this supports current practice guidelines. This threshold identified all with glucocorticoid insufficiency, notably prevalent in our cohort and for whom glucocorticoid stress dosing should be considered.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".