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. 2001 May 19;322(7296):1207-9.
doi: 10.1136/bmj.322.7296.1207.

Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study

D M Coulter  1 , A Bate, R H Meyboom, M Lindquist, I R Edwards
Affiliations

Antipsychotic drugs and heart muscle disorder in international pharmacovigilance: data mining study

D M Coulter et al. BMJ. .

Abstract

Objectives: To examine the relation between antipsychotic drugs and myocarditis and cardiomyopathy.

Design: Data mining using bayesian statistics implemented in a neural network architecture.

Setting: International database on adverse drug reactions run by the World Health Organization programme for international drug monitoring.

Main outcome measures: Reports mentioning antipsychotic drugs, cardiomyopathy, or myocarditis.

Results: A strong signal existed for an association between clozapine and cardiomyopathy and myocarditis. An association was also seen with other antipsychotics as a group. The association was based on sufficient cases with adequate documentation and apparent lack of confounding to constitute a signal. Associations between myocarditis or cardiomyopathy and lithium, chlorpromazine, fluphenazine, haloperidol, and risperidone need further investigation.

Conclusions: Some antipsychotic drugs seem to be linked to cardiomyopathy and myocarditis. The study shows the potential of bayesian neural networks in analysing data on drug safety.

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