Matthew T. Hoerth

Clinical predictors of psychogenic nonepileptic seizures: a critically appraised topic.

Background:Psychogenic nonepileptic seizures (PNES) are often disabling and usually associated with psychiatric disorders and reduced quality of life. Although often suspected based on historical and clinical features, the gold standard for diagnosis of PNES is video electroencephalography. Identification of clinical features that reliably distinguish PNES from ES would be valuable in acute care settings, for patients that have coexisting disorders, and those with multiple event types. Objective:To determine the diagnostic value of putative clinical symptoms or signs of PNES against the gold standard of video electroencephalography. Methods:We addressed the objective through development of a structured critically appraised topic that included a clinical scenario, structured question, search strategy, critical appraisal, results, evidence summary, commentary, and bottom-line conclusions. Participants included consultant and resident neurologists, a medical librarian, clinical epidemiologists, and content experts in the field of epileptology. Results:There were wide variations in the rates of coexisting PNES and epilepsy and study methodology. Ictal stuttering and the “teddy bear” sign were associated with moderate specificity for PNES. However, the presence of pelvic thrusting or ictal eye closure did not accurately distinguish PNES from ES. Conclusions:The presence of either ictal stuttering or the teddy bear sign is moderately specific but poorly sensitive for PNES. Pelvic thrusting and ictal eye closure are not reliable indicators of PNES. Future studies should establish more precise and reliable definitions of clinical signs and evaluate combinations of such signs in a broad spectrum of patients with PNES and ES spell phenotypes that may be difficult to distinguish, such as spells of unresponsiveness with motor manifestations. Because PNES and ES may coexist, analysis of diagnostic accuracy of clinical features should be performed for individual spells.

Antiepileptic Drugs 2012: Recent Advances and Trends

There are now 24 antiepileptic drugs (AEDs) approved for use in epilepsy in the United States by the Food and Drug Administration. A literature search was conducted using PubMed, MEDLINE, and Google for all English-language articles that discuss newly approved AEDs and the use of AEDs in epilepsy in the United States from January 1, 2008, through December 31, 2011. Five new agents were identified that have come onto the market within the past 2 years. Moreover, 3 trends involving AEDs have become clinically important and must be considered by all who treat patients with epilepsy. These trends include issues of generic substitution of AEDs, pharmacogenomics predicting serious adverse events in certain ethnic populations, and the issue of the suicide risk involving the entire class of AEDs. This article discusses the most recent AEDs approved for use in the United States and the 3 important trends shaping the modern medical management of epilepsy.

Quality of life in psychogenic nonepileptic seizures and epilepsy: The role of somatization and alexithymia

It is clear that many individuals with psychogenic nonepileptic seizures (PNESs) often present with poorer quality of life compared with those with epileptic seizures (ESs). However, the mechanisms linking seizure diagnosis to quality-of-life outcomes are much less clear. Alexithymia and somatization are emotional markers of psychological functioning that may explain these differences in quality of life. In the current study, patients from an epilepsy monitoring unit with vEEG-confirmed diagnosis of PNESs or ESs were compared on measures of alexithymia, somatization, quality of life, and a variety of demographic and medical variables. Two models using alexithymia and somatization individually as mediators of the relations between diagnosis and quality of life were tested. Results indicated that patients with PNESs had significantly poorer quality of life compared with those with ESs. Alexithymia was associated with poor quality of life in both groups but did not differentiate between diagnostic groups. Further, alexithymia did not mediate the relationship between diagnosis and quality of life. Somatization was associated with poor quality of life, and patients with PNESs reported greater somatization compared with patients with ESs. Somatization also significantly mediated the relationship between diagnosis and quality of life. In conclusion, somatization may be one mechanism affecting poor quality of life among patients with PNESs compared with ESs and should be a target of comprehensive treatments for PNESs. Alexithymia proved to be an important factor impacting quality of life in both groups and should also be targeted in treatment for patients with PNESs and patients with ESs.

Predictive models in the diagnosis and treatment of autoimmune epilepsy

To validate predictive models for neural antibody positivity and immunotherapy response in epilepsy.

Fall prevention and bathroom safety in the epilepsy monitoring unit

Falls are one of the most common adverse events occurring in the epilepsy monitoring unit (EMU) and can result in significant injury. Protocols and procedures to reduce falls vary significantly between institutions as it is not yet known what interventions are effective in the EMU setting. This study retrospectively examined the frequency of falls and the impact of serial changes in fall prevention strategies utilized in the EMU between 2001 and 2014 at a single institution. Overall fall rate was 2.81 per 1000 patient days and varied annually from 0 to 9.02 per 1000 patient days. Both seizures and psychogenic nonepileptic events occurring in the bathroom were more likely to result in falls compared with events occurring elsewhere in the room. With initiation of increased patient education, hourly nurse rounding, nocturnal bed alarms, having two persons assisting for high fall risk patients when out of bed, and immediate postfall team review between 2001 and 2013, there was a trend of decreasing fall frequency; however, no specific intervention could be identified as having a particular high impact. In late 2013, a ceiling lift system extending into the bathroom was put in place for use in all EMU patients when out of bed. In the subsequent 15 months, there have been zero falls. The results reinforce both the need for diligent safety standards to prevent falls in the EMU as well as the challenges in identifying the most effective practices to achieve this goal.

Determination of hemispheric language dominance in the surgical epilepsy patient diagnostic properties of functional magnetic resonance imaging

Background:Presurgical evaluation for refractory epilepsy typically includes assessment of cognitive and language functions. The reference standard for determination of hemispheric language dominance has been the intracarotid amobarbital test (IAT) but functional magnetic resonance imaging (fMRI) is increasingly used. Objective:To critically assess current evidence regarding the diagnostic properties of fMRI in comparison with the IAT for determination of hemispheric language dominance. Methods:The objective was addressed through the development of a structured critically appraised topic. This included a clinical scenario, structured question, literature search strategy, critical appraisal, results, evidence summary, commentary, and bottom-line conclusions. Participants included consultant and resident neurologists, a medical librarian, clinical epidemiologists, and content experts in the fields of epilepsy and neurosurgery. Results:A systematic review and meta-analysis that compared the sensitivity and specificity of fMRI to IAT-determined language lateralization was selected for critical appraisal. The review included data from 23 articles (n=442); study methodology varied widely. fMRI was 83.5% sensitive and 88.1% specific for detection of hemispheric language dominance. Conclusions:There are insufficient data to support routine use of fMRI for the purpose of determining hemispheric language dominance in patients with intractable epilepsy. Larger, well-designed studies of fMRI for language and other cognitive outcomes as part of the presurgical and postsurgical evaluation of epilepsy patients are necessary.

Indeterminate EMU admissions: does repeating the admission help?

Epilepsy monitoring unit (EMU) admissions during 2007-2009 at Mayo Clinic Hospital Arizona were reviewed. Of the 106 indeterminate admissions, 13 (12%) went on to have a second admission. During the second admission, 8 (62%) were diagnosed. Five patients went on to have a third or fourth admission, with none of them receiving a diagnosis. Nineteen (18%) patients had ambulatory EEG monitoring after an indeterminate admission, with only one (5%) receiving a diagnosis after ambulatory EEG monitoring. Even in patients who were initially indeterminate, medication management changed 37% of the time. Admission to the EMU was helpful for spell classification, with 80% of the patients receiving a diagnosis after the first admission. Based on this study, a second admission should be considered if no diagnosis is reached after the first admission. If no diagnosis is made after the second EMU admission, subsequent admissions are unlikely to produce a definitive diagnosis.

Olfactory and Gustatory Hallucinations Presenting as Partial Status Epilepticus Because of Glioblastoma Multiforme

Olfactory and gustatory hallucinations are not often encountered in the acute care setting but may represent the subtle presenting features of a significant underlying disease process. We describe a patient whose most striking presenting symptoms were of olfactory and gustatory hallucinations and in whom the diagnosis and treatment of a new brain tumor and partial status epilepticus occurred entirely in the emergency department. The lesion was subsequently identified as glioblastoma multiforme involving the hippocampus and amygdala.

The influence of impression management scales on the Personality Assessment Inventory in the epilepsy monitoring unit

The Somatic Complaints scale (SOM) and Conversion subscale (SOM-C) of the Personality Assessment Inventory perform best in classifying psychogenic non-epileptic seizures (PNES) from epileptic seizures (ES); however, the impact of positive impression management (PIM) and negative impression management (NIM) scales on SOM and SOM-C classification has not been examined. We studied 187 patients from an epilepsy monitoring unit with confirmed PNES or ES. On SOM, the best cut score was 72.5 T when PIM was elevated and 69.5 T when there was no bias. On SOM-C, when PIM was elevated, the best cut score was 67.5 T and 76.5 T when there was no bias. Negative impression management elevations (n=9) were too infrequent to analyze separately. Despite similarities in classification accuracy, there were differences in sensitivity and specificity with and without PIM, impacting positive and negative predictive values. The presence of PIM bias generally increases positive predictive power of SOM and SOM-C but decreases negative predictive power.

Patients with psychogenic nonepileptic seizures report more severe migraine than patients with epilepsy

PURPOSE Clinical observations suggest that psychogenic non-epileptic seizure (PNES) patients often have severe migraine, more severe than epilepsy patients. Investigations into migraine characteristics in patients with PNES are lacking. In this study we tested the hypothesis that, compared to epilepsy patients, PNES patients have more severe migraine, with more frequent and longer duration attacks that cause greater disability. METHOD In this observational study, 633 patients with video-EEG proven epilepsy or PNES were identified from the Mayo Clinic Epilepsy Monitoring Unit database. Contacted patients were screened for migraine via a validated questionnaire, and when present, data regarding migraine characteristics were collected. Two-sample t-tests, chi square analyses, and Mann-Whitney U tests were used to compare migraine characteristics in PNES patients to those of epilepsy patients. RESULTS Data from 43 PNES patients with migraine and 29 epilepsy patients with migraine were available. Compared to epilepsy patients, PNES patients reported having more frequent headaches (mean 15.1 ± 9.8 vs. 8.1 ± 6.6 headache days/month, p<.001), more frequent migraine attacks (mean 6.5 ± 6.3 vs. 3.8. ± 4.1 migraines/month, p=.028), longer duration migraines (mean 39.5 ± 28.3 vs. 27.3 ± 20.1h, p=.035), and more frequently had non-visual migraine auras (78.6% vs. 46.7% of patients with migraine auras, p=.033). Migraine-related disability scores were not different between PNES and epilepsy patients (median 39, interquartile range 89 vs. 25, interquartile range 60.6, p=.15). CONCLUSION Compared to epilepsy patients with migraine, PNES patients with migraine report having a more severe form of migraine with more frequent and longer duration attacks that are more commonly associated with non-visual migraine auras.