Neuroleptic Malignant Syndrome Associated With Metoclopramide Use in a Boy: Case Report and Review of the Literature
Bibliographic record
Abstract
Neuroleptic malignant syndrome (NMS), an idiosyncratic reaction comprising muscular rigidity, altered level of consciousness, and autonomic dysfunction, is a rare but serious medical condition. It is most commonly precipitated by major tranquilizers such as butyrophenones, phenothiazines, and thioxanthines. Metoclopramide, a chlorbenzamide derivative with antidopaminergic properties, is widely used to treat nausea and emesis. We describe the first reported case of a boy who developed NMS in association with the use of this drug. A 13-year-old boy presented to the emergency department with a history of hyperthermia (42.6°C) and altered level of consciousness. He had recently had acute gastroenteritis and had been treated with metoclopramide 10 mg three times a day for 2 days. Vital signs were notable for hypotension, and physical examination revealed altered mental status with muscle rigidity. Laboratory testing revealed metabolic acidosis and increased prothrombin and partial thromboplastin times. He was actively cooled and received 3 rapid boluses, totaling 60 mL/kg, of isotonic crystalloids, for more than 20 minutes. Sepsis workup revealed no evidence of bacterial infection. He subsequently recovered fully and was discharged home with pediatric follow-up. This case represents the first description of NMS in association with metoclopramide in a healthy boy. It demonstrates the importance of considering this diagnosis early in the course of disease in patients with muscular rigidity, altered level of consciousness and autonomic dysfunction, and the need to rapidly respond to the physiological aberrations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".