Evaluating subjective cognitive impairment in the adult epilepsy clinic: Effects of depression, number of antiepileptic medications, and seizure frequency

口语流利性测试 癫痫 认知 焦虑 神经心理学 生活质量(医疗保健) 心理学 医院焦虑抑郁量表 萧条(经济学) 临床心理学 精神科 逻辑回归 门诊部 医学 内科学 心理治疗师 经济 宏观经济学
作者
Lauren Feldman,Brittany Lapin,Robyn M. Busch,Jocelyn F. Bautista
出处
期刊:Epilepsy & Behavior [Elsevier BV]
卷期号:81: 18-24 被引量:44
标识
DOI:10.1016/j.yebeh.2017.10.011
摘要

Abstract

Objective

Subjective cognitive complaints are a frequent concern of patients with epilepsy. The Aldenkamp–Baker Neuropsychological Assessment Schedule (ABNAS) is a patient-reported scale validated to measure adverse cognitive effects of antiepileptic drugs (AEDs). The goals of this study were to identify predictors of patient-reported cognitive dysfunction and to assess the relationship between subjective and objective cognitive impairment.

Methods

The Cleveland Clinic Knowledge Program Data Registry was used to identify adult patients seen in outpatient epilepsy clinic from January to May 2015 and who completed the following scales: ABNAS for subjective cognitive impairment, Patient Health Questionnaire (PHQ-9) for depression, Generalized Anxiety Disorder 7-item (GAD-7) scale, Quality of Life in Epilepsy (QOLIE-10), and EuroQOL five dimensions questionnaire (EQ-5D) for health-related quality of life. Topiramate (TPM) was considered a high-risk medication for cognitive impairment. Patients were categorized into groups based on total ABNAS score: subjective cognitive impairment (ABNAS>15; N=270) and no subjective cognitive impairment (ABNAS≤15; N=400). Multivariable logistic regression models were constructed to identify independent predictors of subjective cognitive impairment. In a subset of patients who had neuropsychological testing within 6months of completing the ABNAS (N=60), Pearson correlations and multivariable logistic regression models, controlling for number of AEDs, depression, and anxiety, assessed the relationship between subjective cognitive impairment and objective cognitive performance on measures of intelligence, attention/working memory, verbal fluency, naming, processing speed, manual dexterity, visuomotor processing, and verbal memory.

Results

Forty percent of patients in the overall sample (N=270/670) reported cognitive impairment. The variables most strongly associated with subjective cognitive impairment were PHQ-9 score, number of AEDs, and seizure frequency. In the subset of patients with neuropsychological testing, ABNAS score was correlated with anxiety (r=0.44), depression (r=0.38), and attention/working memory (r=−0.31). After adjusting for depression and anxiety, patients who endorsed subjective cognitive impairment scored significantly lower on measures of nonverbal intelligence and attention/working memory, but not on other cognitive measures.

Conclusions

Subjective cognitive impairment as reported on the ABNAS is most strongly associated with depressive symptomatology, number of AEDs, and seizure frequency, but not with most objective cognitive measures. Identifying these three predictors provides a clear framework to understand and address subjective cognitive complaints in adult patients with epilepsy.

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