Antipsychotic Polypharmacy and Adverse Drug Reactions Among Adults in a London Mental Health Service, 2008-2018


Journal article


J. C. Yang, J. Thygesen, N. Werbeloff, J. Hayes, D. Osborn
medRxiv, 2021

Semantic Scholar DOI
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APA   Click to copy
Yang, J. C., Thygesen, J., Werbeloff, N., Hayes, J., & Osborn, D. (2021). Antipsychotic Polypharmacy and Adverse Drug Reactions Among Adults in a London Mental Health Service, 2008-2018. MedRxiv.


Chicago/Turabian   Click to copy
Yang, J. C., J. Thygesen, N. Werbeloff, J. Hayes, and D. Osborn. “Antipsychotic Polypharmacy and Adverse Drug Reactions Among Adults in a London Mental Health Service, 2008-2018.” medRxiv (2021).


MLA   Click to copy
Yang, J. C., et al. “Antipsychotic Polypharmacy and Adverse Drug Reactions Among Adults in a London Mental Health Service, 2008-2018.” MedRxiv, 2021.


BibTeX   Click to copy

@article{j2021a,
  title = {Antipsychotic Polypharmacy and Adverse Drug Reactions Among Adults in a London Mental Health Service, 2008-2018},
  year = {2021},
  journal = {medRxiv},
  author = {Yang, J. C. and Thygesen, J. and Werbeloff, N. and Hayes, J. and Osborn, D.}
}

Abstract

Background: Antipsychotic polypharmacy (APP) occurs commonly but it is unclear whether it is associated with an increased risk of adverse drug reactions. Electronic health records (EHRs) offer an opportunity to examine APP using real-world data. In this study, we use EHR data to identify periods when patients were prescribed 2+ antipsychotics and compare these with periods of antipsychotic monotherapy. To determine the relationship between APP and subsequent instances of adverse drug reactions: QT interval prolongation, hyperprolactinaemia, and increased body weight (body mass index [BMI] > 25). Methods: We extracted anonymised EHR data. Patients aged 16+ receiving antipsychotic medication at Camden & Islington NHS Foundation Trust between 1 January 2008 and 31 December 2018 were included. Multilevel mixed-effects logistic regression models were used to elucidate the relationship between APP and the subsequent presence of QT interval prolongation, hyperprolactinaemia, and/or increased BMI following a period of APP within 7, 30, or 180 days respectively. Results: We identified 35,409 observations of antipsychotic prescribing among 13,391 patients. APP was associated with a subsequent increased risk of hyperprolactinaemia (adjusted odds ratio 2.46; 95% C.I. 1.87-3.24) and of having a BMI > 25 (adjusted odds ratio 1.75; 95% C.I. 1.33-2.31) in the period following the APP prescribing. Conclusions: Our observations suggest that APP should be carefully managed with attention to hyperprolactinaemia and obesity.


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