Adverse events related to antiepileptic drugs.

Epilepsy Behav

Department of Neurology, The Royal Melbourne Hospital, Parkville, Australia; Department of Neurology, Alfred Health, Melbourne, Australia; Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Clinical Outcomes Research (CORe) Unit, Department of Medicine (RMH), The University of Melbourne, Parkville, Australia.

Published: February 2021

AI Article Synopsis

  • Adverse events (AEs) from antiepileptic drugs (AEDs) can hinder proper dosing and patient compliance, leading to worse seizure control and increased health risks, which this study aimed to analyze using the Liverpool Adverse Events Profile (LAEP).
  • The study enrolled 311 adult patients to explore factors like gender, mood disorders, and AED polytherapy in relation to AEs, finding that depression and female sex were linked to higher AEs, while epilepsy patients reported fewer AEs than those with psychogenic nonepileptic seizures (PNES).
  • The findings highlight the significant connection between patient-reported AEs and psychiatric conditions, emphasizing the need for tailored management strategies in epilepsy treatment

Article Abstract

Objective: Adverse events (AEs) related to antiepileptic drugs (AEDs) may interfere with adequate dosing and patient adherence, leading to suboptimal seizure control, and relatedly, increased injuries, hospitalizations, and mortality. This study investigated the clinicodemographic factors associated with AEs related to AEDs as reported by the Liverpool Adverse Events Profile (LAEP), and explored the ability of LAEP to discriminate between epilepsy and psychogenic nonepileptic seizures (PNES). We hypothesized that female sex, mood disorders, AED-polytherapy, duration, and severity of epilepsy are associated with increased endorsement of AEs related to AEDs, and that endorsement of AEs related to AEDs would significantly differ between epilepsy and PNES patients.

Methods: We prospectively enrolled adult patients admitted to two inpatient video-electroencephalogram monitoring units. Clinicodemographic variables and psychometric measures of depression, anxiety, and cognitive function were recorded. Patient-reported AE endorsement was obtained using the LAEP, which was reduced to four latent domains using exploratory structural equation modeling. General linear models identified variables associated with each domain. Logistic regression determined the ability of LAEP scores to differentiate between epilepsy and PNES.

Results: 311 patients met inclusion criteria. Mean age was 38 years and 56% of patients were female. Network analysis demonstrated strong relationships between depression and anxiety with physical, sleep, psychiatric, and dermatological AE endorsement. Depression, female sex, and AED polytherapy were associated with greater AE endorsement. Epilepsy, compared to PNES, was associated with lower AE endorsement. Fewer prescribed AEDs and greater reported physical AE endorsement were associated with PNES diagnosis.

Significance: There is a strong relationship between patient-reported AEs and psychiatric symptomatology. Those with PNES paradoxically endorse greater physical AEs despite receiving fewer AEDs. Patients who endorse AEs in clinical practice should be screened for comorbid depression or anxiety and treated accordingly.

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Source
http://dx.doi.org/10.1016/j.yebeh.2020.107657DOI Listing

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