Refeeding Syndrome in a Critically Ill Child
Bibliographic record
Abstract
Objective: To report a case of a child interned in an ICU of a University Hospital who developed refeeding syndrome, and to review the specific literature pertinent to this area. Case Report: An eight year-old, previously healthy, male patient was admitted for necrotizing pneumonia. On admission the child had a z-score of weight for height of 0.38 and height for age of -0.74. Following 60 days’ hospital admission he had lost 27.5% of initial weight. Enteral tube feeding, with an energy intake equivalent to the basal metabolic rate plus 20% for stress, was initiated and gradually increased during the stabilization phase. After receiving 2000 kcal/day for 5 days, hypophosphatemia was detected in association with an increase in hepatic enzymes and hyperglycemia. No concomitant worsening of the white blood count or evidence of inflammatory activity was present. These alterations were accompanied by an increase in pulse rate and body temperature, thereby leading to a diagnosis of refeeding syndrome. Energy intake decreased to 1520 kcal/day, resulting in a marked improvement of the laboratorial parameters in less than a week. Conclusions: Refeeding syndrome is a potentially dangerous complication of increased caloric administration in critically ill pediatric patients. Early recognition and appropriate adjustment of nutritional support is important to avoid the serious consequences which may ensue if this condition is left untreated.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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".