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Record W2600525115 · doi:10.1093/schbul/sbx024.109

SU113. Clozapine Exposure Further Impairs Cardiovascular Fitness When Compared to Other Atypical Antipsychotics in a Cohort of Chronic Schizophrenia Patients

2017· article· en· W2600525115 on OpenAlexaff
David Kim, Donna J. Lang

Bibliographic record

VenueSchizophrenia Bulletin · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsClozapineAripiprazoleAntipsychoticSchizoaffective disorderQuetiapineOlanzapineInternal medicineRisperidoneSchizophrenia (object-oriented programming)MedicinePaliperidoneBody mass indexAsenapineAtypical antipsychoticPsychologyPsychiatryPsychosis

Abstract

fetched live from OpenAlex

Background: Individuals with schizophrenia have consistently demonstrated impaired cardiovascular fitness, as indicated by lower peak aerobic power (VO2peak). It is of interest whether antipsychotics, especially clozapine, significantly affect VO2peak in these individuals. We investigated the relationship between antipsychotic dose and VO2peak, and also compared VO2peak between those receiving primarily clozapine vs other atypical antipsychotics. Methods: Thirty participants with DSM-IV schizophrenia or schizoaffective disorder (mean age: 31.0 ± 6.6 y; 10 F, 20 M) were divided into clozapine (n = 15) and nonclozapine (n = 15) groups. A group of healthy age- and sex-matched controls (n = 15) was also included. The patients were treated with a mix of one or more atypical antipsychotics (clozapine, olanzapine, aripiprazole, quetiapine, risperidone, paliperidone, and asenapine). Each participant completed maximal symptom-limited exercise testing on a cycle ergometer for the assessment of VO2peak. Hierarchical multiple regression was used to examine the association of a dose increase with VO2peak after controlling for body mass index (BMI). Analysis of covariance was used to compare VO2peak between the clozapine and nonclozapine groups after controlling for BMI and antipsychotic dose. Results: Rating of perceived exertion was not significantly different across the 3 groups (P = .693). The mean chlorpromazine equivalent (CPZE) was 731.3 ± 386.5 mg/d. After controlling for BMI, every 100 mg/d increase in CPZE was associated with approximately a 1 ml/kg/min reduction in VO2peak (B = −0.92, SE = 0.44, P = .046). Moreover, the clozapine group demonstrated further reduced VO2peak as compared to the nonclozapine group after controlling for BMI and CPZE (18.9 ± 7.9 vs 26.5 ± 10.3 ml/kg/min; F(1,26) = 4.55, P = .042). The nonclozapine group in turn had significantly lower VO2peak than the healthy control group (26.5 ± 10.3 vs 37.3 ± 10.2 ml/kg/min; t = −2.90, P = .007). Conclusion: Antipsychotics affect VO2peak in a dose-dependent manner that is independent of BMI in individuals with schizophrenia. Those receiving clozapine have further reduced VO2peak than those receiving other atypical antipsychotics. Potential mechanisms are not clear, but altered activity of various peripheral receptors, as well as altered metabolism, by antipsychotics may contribute to impaired cardiovascular fitness in schizophrenia.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.284
Teacher spread0.269 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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