Malnutrition in Community-Dwelling Anorexia Nervosa Patients: Alterations of Physical and Laboratory Features
Bibliographic record
Abstract
Background and aims: Malnutrition in Anorexia Nervosa may determine many abnormalities and consequences for both physical and psychological points. Their early detection and management may improve the prognosis. This study aims at identifying clinical predictors of disease highlight possible correlations between signs-symptoms and degree of malnutrition. Methods: The authors present a retrospective study of 302 Anorexia Nervosa outpatients aged 23.2 ± 9.4 years (`X ± SD) observed at arrival in Eating Disorder Unit. Results: 302 patients were examined, (BMI 14.7 ± 1.9 kg/m2). We observed a significant reduction of measured basal metabolic rate (less 19.3 ± 15.3%) in almost all patients, and almost one patient over four have some clinical complications such as bradycardia, hypotension, anemia, hypoglycemia, showing a high correlation with malnutrition degree. Conclusions: Determining malnutrition degree is relevant to identify and to treat Anorexia Nervosa patients as well as to contract setting of care with patients and parents for reducing delayed treatment.
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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 | 0.001 | 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".