Nutrition Adequacy in Enhanced Recovery After Surgery
Bibliographic record
Abstract
BACKGROUND: A prospective observational study was initiated to determine the prevalence of nutrition risk before surgery and assess nutrition adequacy of food choices after elective colorectal surgery. MATERIALS AND METHODS: Patient-Generated Subjective Global Assessment was used to screen all preoperative clinic patients (n = 70) scheduled for elective colorectal surgery. Adequacy of dietary intake (n = 40) was determined for the first 3 postoperative days by estimating total energy and protein intake from leftover food at each meal based on standard hospital portions with food composition tables. Food access questionnaire provided a rationale for observed food intake. All patients received Enhanced Recovery After Surgery (ERAS) and room service system care. RESULTS: Before surgery, 63% of patients were considered well-nourished, 29% suspected or moderately undernourished, and 8% severely undernourished. Fifty-one percent of patients scored > 4 on the Patient-Generated Subjective Global Assessment, indicating requirement for dietary intervention or symptom management. On average, 77% ± 27%, 63% ± 28%, and 92% ± 39% of energy requirements were met on postoperative days 1, 2, and 3, respectively; conversely, 55% ± 24%, 43% ± 16%, and 45% ± 12% of protein requirements were met. Most common reasons for missed meals included loss of appetite and feelings of fatigue or worry. Preoperative nutrition risk tended to result in a greater 30-day hospital readmission rate compared to well-nourished patients (P = .07). CONCLUSIONS: A third of patients scheduled for elective colorectal surgery were at nutrition risk. An acceptable intake of dietary protein was not achieved during the first 3 days of hospitalization. Preoperative nutrition education, as part of Enhanced Recovery Programs, may be useful to optimize nutrition status before surgery to mitigate clinical consequences associated with undernutrition and empower patients to make adequate food choices for recovery. NCT 01727570.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".