Improving the quality of nutrition in pediatric trauma
Bibliographic record
Abstract
Purpose Nutrition plays a key role in the recovery of pediatric trauma patients. A catabolic state in trauma patients may hinder recovery and inadequate nutrition may increase morbidity, mortality and length of hospital stay. The purpose of this paper is to review the current nutrition support practices for pediatric trauma patients at McMaster Children's Hospital (MCH), describe patient demographics and identify areas to improve the quality of patient care. Design/methodology/approach A retrospective chart review was conducted on pediatric trauma patients (age<18 years) identified through the trauma registry of MCH. Pediatric trauma patients admitted from January 2010 to March 2014 with an Injury Severity Score (ISS)=12 and a hospitalization of =24 hours were included. Findings In total, 130 patients were included in this study, 61.1 percent male, median age ten years (range: 0-17 years) and median ISS of 17 (range: 12-50). Blunt trauma accounted for 97.7 percent of patients admitted and 73.3 percent had trauma team activation. In total, 93 patients (71.5 percent) had ICU stays. The median time to feed was 29 hours (interquartile range: 12.5-43 hours) from the time of admission. An increased hospital length of stay was associated with longer time to initiation of nutrition support, a higher ISS and greater number of surgeries ( p<0.05). Originality/value Local nutritional support practices for pediatric trauma patients correspond with recommended principles of early feeding and preferential enteral nutrition. Harmonization of paper-based and electronic data collection is recommended to ensure that prescribed nutritional support is being delivered and nutritional needs of pediatric trauma patients are being met.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".