Profound neonatal encephalopathy in a neonate with iatrogenic hypermagnesemia
Bibliographic record
Abstract
Introduction: Neonatal encephalopathy has a broad differential diagnosis, including hypoxic-ischemic encephalopathy, in-born errors of metabolism, intracranial hemorrhage, genetic conditions, and severe septic shock. Case Presentation: We present a case of a preterm patient with coma and shock on day 3 of life after an unremarkable course in the first 72 hours of life. Clinical investigations performed on her admission to a tertiary neonatal intensive care unit showed severe hypermagnesemia that required fluid resuscitation and aggressive diuresis for treatment. As her blood magnesium levels decreased, her neurological exam improved, with a completely normal neurological exam by day 7 of life. Root cause analysis revealed that the total parenteral nutrition was the source of iatrogenic hypermagnesemia in this infant. Conclusion: This case highlights the importance of including hypermagnesemia in the differential diagnosis of neonatal encephalopathy of an infant presenting with systemic signs such as coma, apnea, bradycardia, and refractory hypotension. Early recognition of medication overdose and systemic toxicity in a preterm infant with neurological dysfunction is essential for timely treatment and prevention of further harm.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".