Hormonal Profile Heterogeneity and Short-Term Physical Risk in Restrictive Anorexia Nervosa
Bibliographic record
Abstract
CONTEXT: The relevance of hormonal assessment in anorexia nervosa (AN) management is still unclear. The short-term physical risk during undernutrition period of the disease is partially predicted by anthropometric and electrolytic parameters. OBJECTIVE: The objective of the study was to evaluate hormonal profiles in a large cohort of AN and their relationship with critical states. DESIGN AND SETTING: This was an observational monocentric cross-sectional study performed in the endocrinological unit. PATIENTS AND OTHER PARTICIPANTS: Participants included 210 young female subjects with restrictive-type AN and 42 female controls of comparable age. MAIN OUTCOME MEASURES: The following hormonal parameters were measured: thyroid hormones, GH, IGF-I, cortisol, oestradiol, FSH, LH, SHBG, dehydroepiandrosterone sulfate, plasma metanephrines, and bone markers. Their relation with registered short-term evolution of AN subjects after hormonal assessment was evaluated. RESULTS: Except for metanephrines and dehydroepiandrosterone sulfate, most of the hormonal abnormalities previously reported in AN were confirmed. The manifestation of these hormonal abnormalities started below different body mass index (BMI) levels, ranging between 17 and 15 kg/m(2), even though an important percentage of normal values for every parameter was still noticed for very low BMIs. All patients who developed critical states during the 3 months after the hormonal assessment presented with BMI less than 15 kg/m(2) and a very increased level of cortisol, GH, and increased values of metanephrines. CONCLUSIONS: The hormonal response to undernutrition is heterogeneous in a large population with restrictive AN. In clinical practice, metanephrines, GH, and/or cortisol data could be used as important predictors for severe short-term outcome.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".