Feeding practices in open abdomen following laparotomy: an assessment of nutrition adequacy and clinical outcomes
Bibliographic record
Abstract
Proper nutrition can promote healing and improve clinical outcome. Open abdomen patients are at risk of declining nutritional status. To investigate this issue, we first assessed nutrition adequacy and clinical outcomes by using data from a retrospective study on 33 patients. We assessed potential factors as correlates of altering resting energy expenditure by using data from a prospective pilot study of 7 open abdomen patients, after implementing indirect calorimetry as a standard of care at a Level-1 trauma center in Montreal. At baseline, the vast majority of the participants were underfed in the first study, while in the second study unexpected dynamic changes in resting energy expenditure were observed after closure of the abdomen compared to before closure of the abdomen. The findings of this research highlight the need for large multi-center studies in order to better understand nutritional targets and nutritional risks for open abdomen patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".