Psychogenic nonepileptic seizures: The effect of accurate diagnosis on cognition.

OBJECTIVE: Much remains to be elucidated about the cognitive profile of patients with psychogenic nonepileptic seizures (PNES) and about how this changes over time and compares to that of patients with epilepsy. The aim of this study was to study the neuropsychological profile of patients with PNES and an age-matched group of patients with temporal lobe epilepsy (TLE) during admission to a video electroencephalography monitoring unit (VEMU) and 1 year after discharge. METHODS: Patients diagnosed with PNES or TLE at a VEMU were prospectively recruited. Neuropsychological, demographic, clinical, and treatment variables were collected at baseline and 1 year. To minimize multiple comparisons, scores from different cognitive tests were computed for attention and psychomotor speed, verbal memory, visual memory, language, and executive function. A global cognitive impairment index (GCII) was also created. Post hoc analyses were conducted to identify clinical variables that might mediate the differences observed in cognition over time between the groups. These included seizure frequency, number of antiseizure medication (ASM), number of psychotropic drugs, depression, and quality of life. RESULTS: We studied 24 patients with PNES and 24 patients with TLE. The groups performed similarly in the baseline neuropsychological tests. There was a significant time (baseline to 1-year follow-up) by group (PNES vs TLE) interaction for the GCII (p = 0.006), language (p = 0.04), and executive function (p = 0.013), with PNES patients showing improvement and TLE patients remaining stable. The time by group interaction for attention and psychomotor speed showed a trend toward significance (p = 0.056), Reduction in number of ASM was associated with improved cognition in PNES patients at 1 year. CONCLUSION: PNES patients showed improved cognition at 1 year of follow-up, particularly in language and executive functions. This finding shows the potential benefits of an early, accurate diagnosis, which range from improved cognition to better management.

Epileptiform electroencephalogram discharges increase seizure recurrence risk in patients with acute symptomatic seizure due to a structural brain lesion.

OBJECTIVE: The risk factors for seizure recurrence after acute symptomatic seizure due to a structural brain lesion are not well established. The aim of this study was to analyze possible associations between demographic, clinical, and electroencephalographic variables and epilepsy development in patients with acute symptomatic seizure due to an acute structural brain lesion. METHODS: We designed an observational prospective study of patients with acute symptomatic seizure due to an acute structural brain lesion (hemorrhagic stroke, ischemic stroke, traumatic brain injury, or meningoencephalitis) who underwent EEG during their initial admission between January 2015 and January 2020. We analyzed prospectively recorded demographic, clinical, electroencephalographic (EEG), and treatment-related variables. All variables were compared between patients with and without seizure recurrence during 2 years of follow up. RESULTS: We included 194 patients (41.2 % women; mean [SD] age, 57.3 [15.8] years) with acute symptomatic seizure due to an acute structural brain lesion. They all underwent EEG during admission and were followed for at least 2 years. The identifiable causes were hemorrhagic stroke (44.8 %), ischemic stroke (19.5 %), traumatic brain injury (18.5 %), and meningoencephalitis (17 %). Fifty-six patients (29 %) experienced a second seizure during follow-up. Seizure recurrence was associated with epileptiform discharges on EEG (52% vs 32 %; OR 2.3 [95 % CI, 1.2-4.3], p = 0.008) and onset with status epilepticus (17% vs 0.05 %, OR 4.03 [95 % CI 1.45-11.2], p = 0.009). CONCLUSIONS: Epileptiform discharges on EEG and status epilepticus in patients with acute symptomatic seizure due to an acute structural brain lesion are associated with a higher risk of epilepsy development.

Clinical predictors of adverse events during continuous video-EEG monitoring in an epilepsy unit.

Patients admitted to epilepsy monitoring units (EMUs) for diagnostic and presurgical evaluation have an increased risk of seizure-related injury, particularly in the many cases in which medication is withdrawn. The purpose of this study was to assess the prevalence of adverse events (AEs) in this setting and to analyse associated clinical factors and costs. We evaluated consecutive patients admitted to an EMU at a tertiary care hospital over a 10-year period based on a descriptive, longitudinal study. We analysed the occurrence of AEs (traumatic injury, psychiatric complications, status epilepticus, cardiorespiratory disturbances, and death), investigated potential risk factors using univariate and multivariate logistic regression analysis, and compared admission costs between patients with and without AEs. In total, 411 EMU admissions were studied corresponding to 352 patients (55% women; mean [SD] age: 41.7 [12.1] years). Twenty-five patients (6%) experienced an AE. The most common event was traumatic injury (n=9), followed by status epilepticus (n=8), psychiatric complications (n=7), and cardiorespiratory disturbances (n=1). On comparing patients with and without AEs, we observed that the former were more likely to experience generalized seizures (OR: 7.81; 95% CI: 3.51-12.23; p<0.001) or have more seizures overall during admission (OR: 3.2; 95% CI: 1.42-6.8; p=0.002). Patients with AEs also had longer EMU stays (6.91 [2.64] vs 5.08 [1.1]; p=0.004), longer hospital stays (8.45 [3.6] vs 5.18 [1.2]; p<0.001), and higher costs (€7277.71 [€2743.9] vs €5175.7 [€1182.5]; p<0.001). Patients with generalized seizures and more seizures during admission were at greater risk of AEs, which were associated with higher admission costs.

Refractory status epilepticus: Impact of baseline comorbidity and usefulness of STESS and EMSE scoring systems in predicting mortality and functional outcome.

PURPOSE: Little has been published on the prognostic value of the Status Epilepticus Severity Score (STESS) or the Epidemiology-based Mortality score in Status Epilepticus (EMSE) in refractory status epilepticus (RSE). We sought to analyze the prognostic value of STESS and EMSE and the impact of baseline comorbidities in mortality and functional outcome in RSE. METHODS: We designed an observational retrospective study of patients diagnosed with RSE between August 2013 and September 2017. For each patient, we analyzed prospectively recorded demographic, clinical, comorbidity, electroencephalographic, treatment, and hospital stay-related data and calculated STESS and EMSE. All variables were compared statistically between patients with good and poor functional outcome at discharge and between patients who died in hospital and those who were alive at discharge. RESULTS: Fourty-nine patients had RSE; 35.4% died in hospital and 88% showed functional decline at discharge. Mortality was associated with baseline chronic kidney disease (CKD) (OR 19.25, p = 0.006), baseline modified Rankin scale score (mRS) (OR 3.38, p = 0.005), non-convulsive status epilepticus (NCSE) with coma (OR 11.9, p = 0.04), STESS (OR 2, p = 0.04), and EMSE (OR 1.3, p = 0.02). Functional outcome was associated with baseline mRS (OR 13.9, p = 0.02), and EMSE (OR 1.3, p = 0.02). The optimal cutoff scores for predicting mortality were 4 for STESS and 60 for EMSE. EMSE predicted functional outcome with an optimal cutoff of 40. CONCLUSIONS: CKD, NCSE with coma and STESS were associated with mortality. mRS and EMSE were associated with mortality and functional outcome. EMSE was useful for predicting functional outcome, while EMSE and STESS were useful for predicting in-hospital mortality.

Diagnostic Yield of Routine Electroencephalography With Concurrent Video Recording in Detecting Interictal Epileptiform Discharges in Relation to Reasons for Request: A Prospective Study of 1,080 Video-Electroencephalograms.

PURPOSE: The aim of this study was to prospectively analyze the sensitivity and specificity of routine electroencephalography with concurrent video recording (vEEG) in relation to the reasons for requesting the test and to investigate when routine vEEG should be requested. METHODS: We prospectively analyzed 1,080 consecutive vEEGs performed between April 2015 and April 2016. The requests for vEEG were classified as requests with a low suspicion of epilepsy (syncope, confusion or delirium, suspicion of psychogenic nonepileptic seizures, and paroxysmal focal neurological deficit) or requests with a high suspicion of epilepsy (first clinical seizure, suspected status epilepticus, follow-up study of a patient with epilepsy, and acute symptomatic seizures). Predominant vEEG findings (ictal and interictal epileptiform activities, diffuse, or focal slowing and triphasic waves) were analyzed, and sensitivity and specificity [ZERO WIDTH SPACE][ZERO WIDTH SPACE]values calculated. RESULTS: The most common indication for vEEG was a follow-up study of patients with epilepsy (38%), followed by first clinical seizure (19.3%) and suspected status epilepticus (11%). The respective specificity and sensitivity values were 93% and 58% for 235 vEEGs performed in children/adolescents (≤18 years), 95% and 40% for 533 vEEGs performed in adults (>18 ≤ 65 years), and 93% and 39% for 312 vEEGs performed in older adults (>65 years). Twenty-four patients with false-positive paroxysms had a clinical diagnosis of confusional state or paroxysmal focal neurological deficit. Neurologists and neuropediatricians with experience in managing epilepsy had higher specificity values than general neurologists or physicians (P = 0.012). CONCLUSIONS: In our series, vEEG abnormalities were mainly observed in patients with clinical findings highly suggestive of epilepsy. In confusional states, and paroxysmal focal neurological deficit vEEG could be indicated.