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 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".