Neuroleptic Malignant Syndrome Versus Serotonin Syndrome: The Search for a Diagnostic Tool
Bibliographic record
Abstract
OBJECTIVE: To evaluate the use of urine dopamine and catecholamine concentrations as diagnostic aids in a patient with neuroleptic malignant syndrome (NMS) in the emergency department setting. CASE SUMMARY: A 61-year-old female on multiple medications, including several antipsychotics, rapidly deteriorated, with fever, lead-pipe rigidity, and decreased level of consciousness. The patient died 20 days after initial presentation to an emergency department. The Naranjo probability scale indicated probable causality for NMS due to quetiapine, haloperidol, and risperidone in this patient, whereas the Naranjo scale assigned only possible causality for serotonin syndrome developing with serotonergic agents. Laboratory investigations of blood and urine revealed elevations in dopamine, metanephrines, and epinephrines, as well as trazodone and risperidone. Serotonin metabolites were not elevated. DISCUSSION: NMS is a rare and potentially severe adverse effect associated with the use of antipsychotic medications. It is mainly characterized by hyperthermia, altered mental state, hemodynamic dysregulation, elevated serum creatine kinase, and rigors. It has been associated with multisystem organ failure potentially leading to rhabdomyolysis, acute respiratory distress syndrome, and disseminated intravascular coagulation. The prevalence of this syndrome is associated with the use of neuroleptics. Serotonin syndrome is another adverse drug reaction leading to NMS associated with elevated serotonin. It occurs when multiple serotonergic medications are ingested and is associated with rapid onset of altered mental status, myoclonus, and autonomic instability. Differentiating between NMS and serotonin syndrome can be challenging because of their similar clinical presentation. This case highlights the importance of a diagnostic aid being available to help distinguish between the 2 syndromes. CONCLUSIONS: We propose that laboratory findings that include dopamine and serotonin metabolites can be used as adjuncts to clinical and prescription histories in the diagnosis of NMS. The use of urinary catecholamine as a diagnostic aid in NMS needs further evaluation.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".