Evaluation of the nutritional status at 40 weeks corrected gestational age in a cohort of very low birth weight infants
Bibliographic record
Abstract
OBJECTIVE: To evaluate the nutritional status at term of a cohort of newborn babies with birth weights of less than 1,500 g and to correlate this with nutritional practices and clinical variables. METHODS: Very low birth weight infants admitted to eight neonatal intensive care units from November 1999 to April 2000 were studied prospectively. The units were defined as Type I if they employed aggressive nutritional support techniques and Type II if other nutritional practices were used. Babies were defined as malnourished if their z-score for weight was less than or equal to -2 on the Canadian Perinatal Surveillance System growth curves. Data were analyzed using multivariate linear regression and logistic regression. The study was approved by the Committee for Ethics in Research. RESULTS: Sixty-three percent (126/200) of the study population were classified as being malnourished at term. Weight at term (corrected gestational age) showed a direct correlation with birth weight, but an indirect correlation with the length of stay, gestational age at birth, time to regain birth weight and CRIB score (p < 0.05). Small for gestational age infants had a 12.19 times greater chance of being malnourished at term. Being born at a Type I unit reduced the risk of malnutrition at term by 2.17 times, male sex reduced this risk by 0.4 times and achieving total enteral nutrition by the 10th day of life reduced it by 1.97 times (p < 0.03). CONCLUSIONS: The most effective means of preventing babies being malnourished at term is by encouraging perinatal practices aimed at preventing restricted intrauterine growth, in addition to giving priority to aggressive nutritional management.
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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 | 0.002 | 0.000 |
| 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 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".