MON-467 Treatment Patterns and Changes in Health States in Patients with Classic Congenital Adrenal Hyperplasia: An Analysis of Data from the CAHtalog™ Registry
Bibliographic record
Abstract
Abstract Disclosure: G.S. Jeha: Full-time employee of Neurocrine Biosciences, Inc. P.C. White: Recipient of sponsored research support from Neurocrine Biosciences, Inc. and Diurnal Ltd (now Neurocrine UK Ltd) and has previously consulted for Neurocrine Biosciences. K. Lin-Su: None. D. Matos: None. F. Tang: Full-time employee of Cytel. H.S. Friedler: Full-time employee of Cytel. E. Roberts: Full-time employee of Neurocrine Biosciences, Inc. H.K. Cheng: Full-time employee of Neurocrine Biosciences, Inc. G.P. Sen: Full-time employee of Neurocrine Biosciences, Inc. Background: Classic congenital adrenal hyperplasia (CAH) often requires supraphysiologic glucocorticoid (GC) doses to reduce excess androgens. CAHtalog™ is an active US-based registry of patients with classic CAH developed in partnership with CARES Foundation on the PicnicHealth platform. Objective: To analyze treatment patterns and health states in patients in the CAHtalog registry. Methods: Medical records from pediatric (<18 yrs) and adult (≥18 yrs) patients in CAHtalog were abstracted into a deidentified database. GCs were summarized by type (hydrocortisone [HC], dexamethasone [DEX], prednisone [PRED]) and total daily GC dose in hydrocortisone equivalents. Due to the longitudinal nature of the registry, patients could be included in both age groups and multiple GC-treatment groups. Patients who took different GC types and doses over the observation period were counted in multiple categories. Health states for each patient were determined by matching GC records with the nearest androstenedione (A4) record (within the next 365 days). Based on the 95th percentile of cortisol production in healthy persons, GC doses were categorized as “higher” or “lower” (>11 or ≤11 mg/m2/d HCe) for the health state analysis. Based on the upper limit of normal (ULN) for age and sex, A4 was categorized as ≥ULN or <ULN. Transitions through health states based on GC dose (higher to lower, lower to higher) and A4 (≥ULN to <ULN, <ULN to ≥ULN) were analyzed in patients with ≥3 matched GC-A4 records. Results: Among 74 patients (37 adult; 51 pediatric; 14 both) with ≥1 medication record during the observation period, and without a standardized threshold or qualification of androgen control across individuals, the most common GC treatment (77.8% [adult]; 90.2% [pediatric]) at one point in their treatment journey was HC alone (mean±SD daily dose, 22.9±7.4 mg/d [adult]; 11.8±4.1 mg/m2/d [pediatric]), followed by DEX alone (47.2%; 35.1±18.4 mg/d) for adults. For pediatric patients, the next most common GC treatments after HC alone were DEX+HC (7.8%; 23.4±7.7 mg/m2/d) and PRED alone (7.8%, 12.6±9.8 mg/m2/d). Among 51 patients (20 adult; 33 pediatric; 2 both) with ≥3 matched GC-A4 records, health state transitions were observed across an age range of 0–67 yrs (median observation=6.1 yrs). Most (88.2%) patients had ≥1 health state transition and 64.7% had ≥3 health state transitions. Nearly all (98.0%) patients (with 76.5% of matched records) were prescribed higher GC doses and/or had A4 ≥ ULN at least once during their treatment journey. Conclusions: Longitudinal data from patients in the CAHtalog registry show various GC regimens and multiple transitions through health states characterized by higher GC doses and A4 ≥ULN, illustrating the lifelong balancing act between A4 management and GC dosing. These data also suggest that achievement of disease control today (A4 <ULN) does not predict maintenance of control tomorrow. Presentation: Monday, July 14, 2025
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".