Nutritional Support of Very Low Birth Weight Infants in a Tertiary Center in a Developing Country
Bibliographic record
Abstract
BACKGROUND: Very low birth weight infants (VLBWIs) are at high risk for nutritional deficiency. Enteral feeding is usually challenged by increased risk of necrotizing enterocolitis (NEC). The nutritional needs of VLBWIs are usually dependent on parenteral nutrition during early postnatal life. This study aimed to evaluate the nutritional service of VLBWIs at Jordan University Hospital. METHODS: This was a prospective follow-up study of VLBWIs with birth weight ≤ 1,500 g. Data were extracted from medical charts and laboratory database. RESULTS: In total, 43 VLBWIs met our inclusion criteria; of them, 21% were extremely low birth weight infants (ELBWIs). The mean gestational age was 29 weeks, and the mean birth weight was 1,218 g. The mean age of starting feeds was 3 days. Mean full feed age is 2 weeks. The most common side effect of total parenteral nutrition (TPN) was hypertriglyceridemia (35%). CONCLUSIONS: Nutritional care of VLBWIs is well established in our center. Initiating fortification earlier and working to increase mother's own breast milk supply is vital to improve growth in low resource setting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".