Incorrectly prepared formula contributing to severe hypovolemic hypernatremia in enteral tube-fed children: A report of two cases
Bibliographic record
Abstract
• Formula-fed children are at risk of dehydration from concentrated formula. • Dehydration risk is greater in enteral tube-fed children. • Frequency and impact of formula preparation errors are likely underappreciated. • Extra care in formula preparation and support for family caregivers may be needed. • The clinical biochemistry laboratory can confirm formula osmolality upon request. We describe two cases of children who were significantly impacted by incorrectly prepared, hyperosmolar formula delivered via enteral tubes. The first case is of a 5-month-old post-pancreatectomy patient with complex needs who received hyperosmolar formula while in a pediatric intensive care unit (PICU), whereas the second is of a 1-month-old with spinal muscular atrophy patient who received hyperosmolar formula at home – resulting in a PICU admission. Hypovolemic hypernatremia is an important but poorly understood complication that can occur if overly concentrated formula is fed to children. Risk is almost certainly greater in enteral-tube fed patients because of their medical fragility but also because tube-feeding delivers formula directly and potentially very rapidly to the gastrointestinal system. Formula for medically fragile, enteral tube-fed children should be prepared with utmost care – particularly when family caregivers are responsible for home feeding. In these cases, additional education and feeding support should be considered – including provision of pre-mixed formula. The clinical biochemistry laboratory can verify formula osmolality for these high-risk patients.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".