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Record W4401222789 · doi:10.1192/bjo.2024.190

Rapid Review: Ascertaining the Type of Potentially Life-Threatening Cardiovascular Events and Eventual Cardiovascular Mortality From Antipsychotic Use in Clinical Practice

2024· article· en· W4401222789 on OpenAlexaboutno aff
Reagan Lee, Oscar Han, Jingjing Wang

Bibliographic record

VenueBJPsych Open · 2024
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuetiapineMedicineAntipsychoticOlanzapineRisperidonePsychiatryZiprasidoneBipolar disorderSchizophrenia (object-oriented programming)Internal medicine

Abstract

fetched live from OpenAlex

Aims According to the World Health Organization (WHO), there has been a 13% increase in mental health and substance abuse disorders within the last decade. Typical and atypical antipsychotics are the most common treatment mechanisms for mental health-related disorders such as schizophrenia, depression with psychotic symptoms and bipolar disorders. However, antipsychotic usage is associated with more than a 50% increase in CVD such as ischaemic heart disease, resulting in cardiovascular-related mortality. This review aims to investigate the most common type of cardiovascular event causing mortality due to antipsychotic use. Methods A systematic search within PubMed and Medline was conducted on 3 October 2023. Selection criteria were limited to English, full-text studies excluding case reports. The time frame selected was up to 3 October 2023. All studies included adults only. Interventions of focus include typical and atypical antipsychotics licensed in the UK. Outcome measures include cardiovascular mortality/events post-antipsychotic prescription. Results 13 studies were included out of 1088 records. Studies originated from 4 nations with the most studies coming from the USA (n = 7), UK (n = 2), Taiwan (n = 2) and Canada (n = 2). The most common antipsychotic reported in the records was risperidone (n = 11), followed by haloperidol (n = 9), olanzapine (n = 8) and quetiapine (n = 8). From data extraction, the most common cardiovascular events leading to death were sudden cardiac death/arrest (n = 6), ventricular arrhythmias (n = 6), myocardial infarction (n = 4), and heart failure (n = 2). Due to data heterogeneity, discrete outcome measures were extracted from each record. This included outcomes measuring: relative risk between various groups (n = 9), rate of cardiovascular event per 100 patient year (n = 3), and mortality post cardiovascular event (n = 1). Conclusion From this study, ventricular arrhythmias and sudden cardiac deaths were the most common cardiovascular events secondary to antipsychotic use leading to mortality. Owing to patient safety and benefits, patients with psychotic illness are unable to go untreated. They are consequently very vulnerable to the cardiovascular side effects of prescribed high-dose antipsychotic drugs. Despite current monitoring guidelines worldwide, cardiovascular-associated mortality in patients on antipsychotics is still elevated. This may indicate the potential inadequacy of current measures for these patients while demonstrating the need for more aggressive cardioprotective interventions and monitoring.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score0.601

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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)0.0000.000

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 head0.211
GPT teacher head0.419
Teacher spread0.208 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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