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Record W4386178665 · doi:10.22259/2638-5201.0202004

Age and Gender Specific Patterns of the Neuroleptic Malignant Syndrome

2019· article· en· W4386178665 on OpenAlexaff
Varadaraj R. Velamoor, Zack Z. Cernovsky

Bibliographic record

VenueArchives of Psychiatry and Behavioral Sciences · 2019
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsLaurentian UniversityWestern University
Fundersnot available
KeywordsNeuroleptic malignant syndromeMedicinePsychologyOncologyInternal medicine

Abstract

fetched live from OpenAlex

Background: Investigations of clinical correlates of the Neuroleptic Malignant Syndrome (NMS) may help to understand this phenomenon.This study examined age and gender related differences in NMS symptom patterns.Method: Archival data from medical journals and medical professionals were obtained on 233 patients with suspected NMS: 80 of these patients met the criteria for NMS according to DSM5.The sample contained more men (70.1%) than women (29.9%).The age ranged from 15 to 83 years, with the mean at 41.2 years (SD=16.9).The medication was known for 63 of the 80 patients: all were on the old antipsychotic medications, mostly on haloperidol (49.2%) and chlorpromazine (15.9 %).The frequent diagnoses were schizophrenia (30.3%), bipolar mood disorder (19.7%), and major depression (11.8%).The data file included frequencies of various clinical symptoms, vital signs, and results of laboratory tests. Results:The following symptoms were recorded more often than in 12% of the 80 patients diagnosed with NMS by DSM5: decrease in level of consciousness (100% of patients), elevated creatine kinase (96.9%), tachycardia (94.0%), elevated WBC (93.8%), diastolic blood pressure above 89 (77.5%), systolic blood pressure above 139 (75.6%), autonomic dysregulation (77.5%), mutism (42.5%), tremor (33.8%), sialorrhea (21.2%), dysphagia (18.8%), stupor (17.5%), and urinary incontinence (16.2%).The patients' gender and age were not statistically related to any of these variables, except for a significant but weak correlation of gender with mutism (phi=.26,p=.025, 2-tailed): 60.9% of women, but only 33.3% of men displayed mutism.Numerous other symptoms and variables were evaluated, but were noted too infrequently, less often than in 12% in this sample, to be of relevance for the concept of NMS.Discussion and Conclusions: Age and gender did not have a clinically important impact on the NMS symptom profiles.The high frequencies of lowered level of consciousness, elevated creatine kinase, tachycardia, elevated WBC, elevated blood pressure, autonomic dysregulation, mutism, tremor, sialorrhea, dysphagia, stupor, and incontinence are consistent with the existing clinical studies on the concept of NMS.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.300
Teacher spread0.265 · 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 designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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