The impact of nutritional status on morbidities in mechanically ventilated critically ill children in PICUs (1024.8)
Bibliographic record
Abstract
Mechanically ventilated children in pediatric intensive care units (PICUs) are at risk for hospital‐acquired infections (HAI) and prolonged hospitalizations. We performed a multicenter, international cohort study to determine the unique contribution of nutritional status to clinical outcomes in mechanically ventilated children in PICUs (N=1622). Nutritional status was 17.9% underweight (BMI Z score < ‐2), 54.2% normal weight (BMI Z score > ‐2 and < 1), 14.5% overweight (BMI Z score > 1 and < 2), and 13.4% obese (BMI Z score > 2). Prevalence of HAI, length of stay, and ventilator‐free days (VFD) were evaluated using multivariate analyses, controlling for diagnosis, admission type, PICU location and size. Compared to normal weight, risk for HAI was significantly higher in underweight (OR 1.79; 95% CI 1.16, 2.75; p=.008), overweight (OR 1.34; 95% CI 1.04, 1.73; p=.02), and obese children (OR 1.50; 95% CI 1.09, 2.05; p=.01). Hazard ratios for hospital discharge were significantly lower among underweight (HR 0.71; 95% CI 0.61, 0.84; p<.001) and obese (HR 0.81; 95% CI 0.68, 0.96; p=.02) compared to normal weight children. Underweight was associated with significantly fewer VFD than normal weight (p<.001), overweight (p<.001), and obesity (p=.03). Nutritional status is an important contributor to morbidities in the PICU. Future studies exploring outcomes related to nutritional status during PICU admissions are needed. Grant Funding Source : Supported by the Jean Hankin Nutritional Epidemiology award from the Academy of Nutrition and Dietet
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".