Hidden Cardiac Lesions and Psychotropic Drugs as a Possible Cause of Sudden Death in Psychiatric Patients: A Report of 14 Cases and Review of the Literature
Bibliographic record
Abstract
OBJECTIVE: To confirm the hypothesis that psychotropic drugs, especially neuroleptics, lithium, and antidepressants, are implicated as a cause of unexpected sudden death in psychiatric patients because of their cardiotoxicity, especially when hidden cardiac lesions are present. METHOD: We performed a full pathological examination of 14 psychiatric patients who unexpectedly and suddenly died between 1980 and 1999. RESULTS: Neuroleptics were involved in 13 instances, antidepressants in 9, and anxiolytics in 5. Psychotropic drugs were combined in all but a single patient. In all 14 patients, toxicological analyses discarded drug overdose as cause of death. At postmortem examination, the brain and abdominal organs were normal. In 13 patients, the following lesions were found in the heart and lungs: dilated cardiomyopathy (6 patients), left ventricular hypertrophy (2 patients, 1 of which was associated with mitral prolapse and anomalies of His bundle), arrhythmogenic cardiopathy of the right ventricle (1 patient), pericarditis (1 patient), mitral prolapse (1 patient), muscular bridge on the anterior interventricular artery (1 patient), and Mendelsons syndrome (1 patient). In 1 case, no changes were seen. Most of the drugs that were taken immediately prior to death can induce arrhythmias either by prolonging the QT interval, potentially resulting in torsades de pointes, or by widening QRS complexes, possibly leading to reentry and ventricular fibrillation. CONCLUSION: Our findings suggest that the arrhythmogenic effects of psychotropic drugs can be exacer bated when preexisting hidden cardiac lesions are present and can result in sudden death. Patients should be systematically evaluated for cardiac lesions prior to starting any treatment with psychotropic drugs; the minimal effective dosage should be used.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".