Resting Energy Expenditure in the Parenterally Fed Pediatric Population With Crohn's Disease
Bibliographic record
Abstract
BACKGROUND: Malnutrition is a common sequela of Crohn's disease (CD) and may result in reduced skeletal muscle function and growth retardation. Energy requirements of parenterally fed hospitalized pediatric patients with active CD were measured using indirect calorimetry, to assess whether Food Agriculture Organization (FAO)/World Health Organization (WHO)/United Nations University (UNU) equations provide appropriate estimations of energy requirements in this patient population. METHODS: Twenty hospitalized patients with active CD fed exclusively via parenteral nutrition (PN) were investigated. A chart review and patient interviews were conducted to assess disease duration, location, laboratory parameters, and symptomology associated with CD. Disease severity was quantified using the Pediatric Crohn's Disease Activity Index. Each subject underwent indirect calorimetry, bioelectrical impedance analysis, and anthropometric assessment once the ordered PN met estimated macronutrient requirements of each patient (predicted resting energy expenditure x1.3). Predicted resting energy expenditure (REE) was determined using the FAO/WHO/UNU equations. RESULTS: REE showed a strong correlation with predicted REE (r(2) = .73, p < .01). CONCLUSIONS: Measured REE did not significantly differ from predicted resting energy requirements. This indicates that REE for the parenterally fed pediatric patients with CD can be accurately predicted using the FAO/WHO/UNU equations.
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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 | 0.002 |
| 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) | 0.001 | 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".