Worsening of myasthenia due to antiepileptic, antipsychotic, antidepressant, and sedative medication: An estimation of risk based on reporting frequency

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Abstract

Background and purpose: Many drugs can worsen myasthenia symptoms. The clinician usually relies on cautionary lists compiled according to case reports. We intended to provide a quantitative basis for a risk comparison within the groups of antiepileptic, antidepressant, neuroleptic, and sedative drugs. Methods: We extracted adverse drug reaction (ADR) counts (total and myasthenia related) for drugs from these groups and calculated the reporting odds ratio (ROR) within the drug groups from the World Health Organization pharmacovigilance database. For a given drug, the ROR was increased above 1 if the proportion of myasthenia-related ADRs for this drug was larger than the same proportion for the rest of drugs in that same group. If the 95% confidence interval of ROR was >1, this was taken as a signal for a higher risk of the given drug as compared to the average of the respective group. Results: Gabapentin, sertraline, citalopram, lithium, and amisulpride had a signal for the ROR to be increased above 1 within their respective groups. Bupropion, desvenlafaxine, duloxetine, escitalopram, and paroxetine had ROR values <1. For all other drugs, 1 was within the ROR confidence interval. Conclusions: For gabapentin and lithium, the analysis of RORs confirmed case reports and cautionary lists. For a number of antidepressant drugs associated with a higher-than-average risk, no case reports exist substantiating our results. For these drugs, special attention should be paid to this risk. The remarkable difference between citalopram and escitalopram could prompt experimental work to confirm differential influence of the two preparations on neuromuscular transmission.

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CITATION STYLE

APA

Trillenberg, P., Katalinic, A., Junghanns, K., & Thern, J. (2021). Worsening of myasthenia due to antiepileptic, antipsychotic, antidepressant, and sedative medication: An estimation of risk based on reporting frequency. European Journal of Neurology, 28(7), 2349–2356. https://doi.org/10.1111/ene.14773

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