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.

中文翻译：

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与抗癫痫药物相关的不良事件

目标与抗癫痫药物 (AED) 相关的不良事件 (AE) 可能会干扰足够的剂量和患者依从性，导致癫痫控制欠佳，并相应地增加受伤、住院和死亡率。本研究调查了利物浦不良事件概况 (LAEP) 报告的与 AED 相关 AE 相关的临床人口学因素，并探讨了 LAEP 区分癫痫和心因性非癫痫发作 (PNES) 的能力。我们假设女性、情绪障碍、AED 综合疗法、癫痫的持续时间和严重程度与 AED 相关 AE 的认可增加有关，并且癫痫和 PNES 患者对 AED 相关 AE 的认可将显着不同。方法 我们前瞻性地招募了两个住院视频脑电图监测单位收治的成年患者。记录了抑郁、焦虑和认知功能的临床人口统计学变量和心理测量指标。使用 LAEP 获得患者报告的 AE 认可，使用探索性结构方程建模将其减少到四个潜在域。一般线性模型识别与每个域相关的变量。Logistic 回归确定了 LAEP 评分区分癫痫和 PNES 的能力。结果 311 名患者符合纳入标准。平均年龄为 38 岁，56% 的患者为女性。网络分析表明，抑郁和焦虑与身体、睡眠、精神病学和皮肤病学 AE 认可之间存在密切关系。抑郁症，女性，和 AED 综合疗法与更大的 AE 认可相关。与 PNES 相比，癫痫与较低的 AE 认可相关。更少的处方 AED 和更多报告的身体 AE 认可与 PNES 诊断相关。意义 患者报告的 AE 与精神症状之间存在很强的相关性。尽管接受了较少的 AED，但 PNES 患者反而支持更大的身体 AE。在临床实践中认可 AE 的患者应筛查合并抑郁症或焦虑症并进行相应治疗。意义 患者报告的 AE 与精神症状之间存在很强的相关性。尽管接受了较少的 AED，但 PNES 患者反而支持更大的身体 AE。在临床实践中认可 AE 的患者应筛查合并抑郁症或焦虑症并进行相应治疗。意义 患者报告的 AE 与精神症状之间存在很强的相关性。尽管接受了较少的 AED，但 PNES 患者反而支持更大的身体 AE。在临床实践中认可 AE 的患者应筛查合并抑郁症或焦虑症并进行相应治疗。