Malignant Ventricular Arrhythmias Resulting From Drug-Induced QTc Prolongation: A Retrospective Study
Post-publication record
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Bibliographic record
Abstract
BACKGROUND: Several drug classes (antiarrhythmics, antimicrobials, antidepressants, phenothiazines, opiates, prokinetics of digestive tract, etc.) have been related to ventricular hyperkinetic arrhythmias such as torsade de pointes (TdP). TdPs are usually heralded by an abnormal prolongation of heart rate-corrected QT interval on the electrocardiogram, so-called drug-induced long heart rate-corrected QT (diLQTc). We don't know to what extent the drug-induced QTc prolongation is able to predict malignant arrhythmias. Thus we have retrospectively examined the clinical history of patients with diLQTc. METHODS: The case-record, concerning the period from January 2008 to December 2017, was collected from two hospitals. The diLQTc was defined as drug- induced heart rate-corrected QT of ≥ 450 ms or ≥ 470 ms, respectively in male or female patients. The primary purpose was to verify whether in diLQTc patients the length of this electrocardiographic segment was associated with the risk of symptoms or events (TdP, ventricular fibrillation). RESULTS: A total of 73 validated cases of diLQTc were gathered. Among them, the QTc duration was not able to predict the occurrence of symptoms or events (odds ratio: 0.998; 95% CI: 0.984 to 1.013; P = 0.8821). Likewise, a diQTc lasting longer than 500 ms compared to diQTc comprised between 450 and 500 ms was not associated with an increased risk of arrhythmic events. CONCLUSIONS: In some probably genetically predisposed subjects, the occurrence of symptoms (dizziness, lipothymia, syncope ) and/or documented arrhythmic events (TdP), is related to intake of certain drugs (antiarrhythmics, antimicrobials such as quinolones and macrolides, etc.). Nevertheless, in our diLQTc patients, QTc duration didn't predict occurrence of symptoms, or arrhythmic events. Thus, other determinants should be postulated to clarify why sometimes diQTc prolongation propitiates ventricular malignant arrhythmias whereas in other cases this arrhythmogenic effect is lacking.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".