Sex differences in text-mined possible adverse drug events associated with drugs for psychosis
Research output: Contribution to journal › Journal article › Research › peer-review
Background: Understanding sex differences in adverse drug reactions to drugs for psychosis could potentially guide clinicians in optimal drug choices. Aims: By applying a text-mining approach, this study aimed to investigate the relationship between drugs for psychosis and biological sex differences in frequencies and co-occurrences of potential adverse drug events (ADEs). Methods: Electronic patient records of a psychiatric population (1427 men and 727 women) were text mined for potential ADEs. The relative risk of experiencing specific ADEs and co-occurrence of ADEs were calculated for each sex. Results: Findings included 55 potential ADEs with significantly different frequencies between the two sexes. Of these, 20 were more frequent in men, with relative risks of 1.10–7.64, and 35 were more frequent in women, with relative risks of 1.19–21.58. Frequent potential ADEs were psychiatric symptoms, including sexual dysfunction and disturbances in men, and gastrointestinal symptoms, suicidal and self-injurious behaviour and hyperprolactinemia-related events in women. Mention of different hyperprolactinemia-related ADEs often co-occurred in female patients but not in male patients. Conclusion: Several known sex-related ADEs were identified, as well as some previously not reported. When considering the risk–benefit profile of drugs for psychosis, the patient’s sex should be considered.
|Journal||Journal of Psychopharmacology|
|Number of pages||8|
|Publication status||Accepted/In press - 1 Jan 2020|
- adverse drug events, antipsychotic drugs, drugs for psychosis, electronic health records, Sex differences, text mining