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Risperidone Prolongs Cardiac Repolarization by Blocking the Rapid Component of the Delayed Rectifier Potassium Current

2003· article· en· W2331425689 on OpenAlexaff
Benoît Drolet, Tao Yang, Pascal Daleau, Dan M. Roden, Jacques Turgeon

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2003
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversité de MontréalUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
FundersNational Heart, Lung, and Blood Institute
KeywordsBlocking (statistics)MedicineCardiologyRepolarizationRisperidonePharmacologyInternal medicineElectrophysiologyComputer scienceSchizophrenia (object-oriented programming)Psychiatry

Abstract

fetched live from OpenAlex

Cases of QT prolongation and sudden death have been reported with risperidone, a neuroleptic agent increasingly prescribed worldwide. Although hypokalemia was present in some of these events, we hypothesized that risperidone may have unsuspected electrophysiologic effects predisposing patients to proarrhythmia. In six isolated guinea pig hearts, risperidone elicited prolongation of cardiac repolarization: action potential duration increased from a baseline value of 128 ms +/- 5 to 147 ms +/- 5 (15%) with risperidone 1 microM during pacing at 250-ms cycle length, whereas the increase was only 10%, from 101 ms +/- 2 to 111 ms +/- 4, with pacing at a cycle length of 150 ms. In human ether-a-go-go (HERG)-transfected Chinese hamster ovary cells (n = 16), risperidone caused concentration-dependent block of the rapid component (I(Kr)) of the delayed rectifier potassium current with an IC(50) for tail block of 261 nM. Risperidone did not block I(Ks). Risperidone exerts cardiac electrophysiologic effects similar to those of Class III antiarrhythmic drugs. These effects are observed at clinically relevant concentrations. Because risperidone is metabolized primarily by CYP2D6, these actions likely enhance risk for risperidone-related QT prolongation and proarrhythmia in specific patient subsets (e.g., poor metabolizers and those taking interacting drugs).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.255
Teacher spread0.246 · 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 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

Citations57
Published2003
Admission routes1
Has abstractyes

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