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Record W2147341974 · doi:10.1345/aph.1p787

Neuroleptic Malignant Syndrome Versus Serotonin Syndrome: The Search for a Diagnostic Tool

2011· article· en· W2147341974 on OpenAlexaff
AbdulRazaq Sokoro, Joel Zivot, Robert E. Ariano

Bibliographic record

VenueAnnals of Pharmacotherapy · 2011
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNeuroleptic malignant syndromeSerotonin syndromeMedicineRhabdomyolysisSerotonergicOlanzapineAtypical antipsychoticAnesthesiaAntipsychoticTrazodoneInternal medicineSerotoninPsychiatrySchizophrenia (object-oriented programming)

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.162
GPT teacher head0.394
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2011
Admission routes1
Has abstractyes

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