Continuous Infusion of Glucagon Induces Severe Hyponatremia and Thrombocytopenia in a Premature Neonate
Bibliographic record
Abstract
We report on a 35-week gestation infant who developed severe hyponatremia and thrombocytopenia after continuous infusion of glucagon for the treatment of intractable hypoglycemia. Given these serious side effects,glucagon infusion should be avoided in the treatment of premature infants.hypoglycemia, glucose, small for gestational age. Hypoglycemia is commonly seen in premature infants, and the provision of a standard glucose intake is often not sufficient to maintain euglycemia. For these infants, an increase in glucose infusion to provide 4 to 8 mg/kg/min is initially recommended.1 Should this approach fail, pharmacologic agents such as corticosteroids or diazoxide are indicated.1 When the serum glucose in premature or small for gestational age infants cannot be adequately maintained, a glucagon infusion is now suggested as the best treatment approach.2,3 We report the use of glucagon infusion for the treatment of severe hypoglycemia in a premature infant. A severe hyponatremia associated with transient convulsions and thrombocytopenia was observed in the neonate after treatment. Discontinuation of the glucagon infusion resulted in prompt resolution of these abnormalities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".