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In recent years, the clinical usefulness of the Wada test (WT) has been debated among researchers in the field. Therefore, we aimed to assess its contribution to the prediction of change in verbal learning and verbal memory function after epilepsy surgery. Data from 56 patients with temporal lobe epilepsy who underwent WT and subsequent surgery were analyzed retrospectively. Additionally, a standard neuropsychological assessment evaluating attentional, learning and memory, visuospatial, language, and executive function was performed both before and 12 months after surgery. Hierarchical linear regression analyses were used to determine the incremental value of WT results over socio-demographic, clinical, and neuropsychological characteristics in predicting postsurgical change in patients’ verbal learning and verbal memory function. The incorporation of WT results significantly improved the prediction models of postsurgical change in verbal learning (∆R2 = 0.233, p = .032) and verbal memory function (∆R2 = 0.386, p = .005). Presurgical performance and WT scores accounted for 41.8% of the variance in postsurgical change in verbal learning function, and 51.1% of the variance in postsurgical change in verbal memory function. Our findings confirm that WT results are of significant incremental value for the prediction of postsurgical change in verbal learning and verbal memory function. Thus, the WT contributes to determining the risks of epilepsy surgery and, therefore, remains an important part of the presurgical work-up of selected patients with clear clinical indications.
Der Status epilepticus (SE) stellt eine schwerwiegende akute Erkrankung dar, die eine frühzeitige und gezielte Therapie erfordert. Insbesondere der refraktäre SE (RSE) sowie der superrefraktäre SE (SRSE) sind bereits bei jungen Menschen eine interdisziplinäre therapeutische Herausforderung. Bei Patienten in höherem Lebensalter sind hierbei weitere relevante Aspekte zu beachten, die sich einerseits aufgrund einer abweichenden Pharmakokinetik und -dynamik ergeben, andererseits aber auch aus Komorbiditäten, Polypharmazie und möglichen medizinischen Therapielimitationen bzw. Patientenpräferenzen resultieren. Ziel dieses Artikels ist es, diese besonderen Aspekte im Rahmen der SE-Versorgung älterer Menschen aufzuarbeiten und potenzielle Therapiestrategien jenseits der Leitlinie aufzuzeigen. Insbesondere wird hierbei auf alternative Applikationswege und mögliche konservative Eskalationsformen der Therapie eingegangen, die v. a. bei relevant vorerkrankten Patienten von Bedeutung sind, bei denen eine intensivmedizinische Behandlung die ohnehin schon hohe Mortalität des SE im gehobenen Alter weiter erhöhen würde. Mit unterschiedlichen parenteralen Applikationsformen von Benzodiazepinen im SE sowie dem mittlerweile gut beschriebenen Einsatz weiterer Antikonvulsiva wie Brivaracetam, Perampanel, Stiripentol, Topiramat und Zonisamid in RSE und SRSE stehen auch für diese vulnerable Patientengruppe adäquate Therapieoptionen zur Verfügung. Nichtsdestotrotz sollte in der Therapie des SE im gehobenen Alter insbesondere in Anbetracht der per se hohen Mortalität verstärkt auf Patientenpräferenzen und medizinethische Aspekte geachtet werden.
Background: Epilepsy surgery is an established treatment for drug-resistant focal epilepsy (DRFE) that results in seizure freedom in about 60% of patients. Correctly identifying an epileptogenic lesion in magnetic resonance imaging (MRI) is challenging but highly relevant since it improves the likelihood of being referred for presurgical diagnosis. The epileptogenic lesion’s etiology directly relates to the surgical intervention’s indication and outcome. Therefore, it is vital to correctly identify epileptogenic lesions and their etiology presurgically.
Methods: We compared the final histopathological diagnoses of all patients with DRFE undergoing epilepsy surgery at our center between 2015 and 2021 with their MRI diagnoses before and after presurgical diagnosis at our epilepsy center, including MRI evaluations by expert epilepsy neuroradiologists. Additionally, we analyzed the outcome of different subgroups.
Results: This study included 132 patients. The discordance between histopathology and MRI diagnoses significantly decreased from 61.3% for non-expert MRI evaluations (NEMRIs) to 22.1% for epilepsy center MRI evaluations (ECMRIs; p < 0.0001). The MRI-sensitivity improved significantly from 68.6% for NEMRIs to 97.7% for ECMRIs (p < 0.0001). Identifying focal cortical dysplasia (FCD) and amygdala dysplasia was the most challenging for both subgroups. 65.5% of patients with negative NEMRI were seizure-free 12 months postoperatively, no patient with negative ECMRI achieved seizure-freedom. The mean duration of epilepsy until surgical intervention was 13.6 years in patients with an initial negative NEMRI and 9.5 years in patients with a recognized lesion in NEMRI.
Conclusions: This study provides evidence that for patients with DRFE—especially those with initial negative findings in a non-expert MRI—an early consultation at an epilepsy center, including an ECMRI, is important for identifying candidates for epilepsy surgery. NEMRI-negative findings preoperatively do not preclude seizure freedom postoperatively. Therefore, patients with DRFE that remain MRI-negative after initial NEMRI should be referred to an epilepsy center for presurgical evaluation. Nonreferral based on NEMRI negativity may harm such patients and delay surgical intervention. However, ECMRI-negative patients have a reduced chance of becoming seizure-free after epilepsy surgery. Further improvements in MRI technique and evaluation are needed and should be directed towards improving sensitivity for FCDs and amygdala dysplasias.
Hintergrund: Die Analyse krankheitsspezifischer Kosten gewinnt in einem zunehmend ökonomisch ausgerichteten Gesundheitssystem an Relevanz, wobei vor allem chronische Erkrankungen aufgrund der langen Krankheitsdauer sowie häufiger Hospitalisierung und Arztbesuche von besonderem Interesse sind. Epilepsien stellen eine häufige neurologische Erkrankung dar, welche mit paroxysmal auftretenden epileptischen Anfällen und häufig hiermit assoziierten Verletzungen einhergeht und alle Altersgruppen betrifft.
Ziel: Ziel der Arbeit ist die Aufarbeitung der stationären Behandlungskosten anfallsbedingter Verletzungen sowie die Analyse hinsichtlich relevanter kostenverursachender Faktoren. Mittels alternativer Kalkulation der Versorgungskosten soll zusätzlich der Frage nach potenziellen Vergütungsproblemen im aktuellen DRG-System („diagnosis related groups“) nachgegangen werden.
Methoden: Grundlage dieser monozentrischen, retrospektiven Analyse ist der tatsächliche Erlös der stationären Behandlung von 62 Patienten, die zwischen 01/2010 und 01/2018 im Universitätsklinikum Frankfurt aufgrund von Verletzungen im Rahmen epileptischer Anfälle erfolgte. Die Analyse potenzieller kostenverursachender Faktoren bezog sich auf relevante soziodemographische und klinische Aspekte, die alternative Kalkulation der Versorgungskosten wurde mit gängigen gesundheitsökonomischen Methoden durchgeführt.
Ergebnisse: Der mittlere DRG-Erlös betrug 7408 € (±8993 €, Median 5086 €, Spanne 563–44.519 €), die mittleren kalkulierten Kosten 9423 € (±11.113 €, 5626 €, Spanne 587–49.830 €). Als signifikant kostenverursachender Faktor konnte eine Liegedauer ≥7 Tage (p = 0,014) identifiziert werden. Aufgrund des signifikanten Unterschieds (p < 0,001) zwischen Erlös und kalkulierten Kosten erfolgte eine Analyse nach Faktoren für potenzielle Vergütungsprobleme, welche für eine Aufenthaltsdauer von ≥7 Tagen (p = 0,014) sowie für eine Behandlung auf Intensivstation (p = 0,019) signifikant verblieb.
Schlussfolgerung: Die stationären Versorgungskosten von Patienten mit Frakturen aufgrund epileptischer Anfälle sind hoch und daher gesundheitsökonomisch relevant. Generell scheint die auf Fallpauschalen basierende Vergütung nach G‑DRG die tatsächlichen Kosten zu decken, bei Patienten mit einer langen Liegedauer oder einen Aufenthalt auf Intensivstation können jedoch Vergütungsprobleme bestehen.
Purpose: Epileptic seizures frequently result in distinct physical injuries, fractures, traumatic brain injuries and minor trauma. The aim of this study was to retrospectively determine the frequent injury patterns due to seizure episode and to analyze consecutive acute medical care.
Methods: This retrospective mono-center study was conducted at Frankfurt University Hospital, Frankfurt am Main, Germany between January 2007 and December 2017. Epilepsy patients with seizure-related fractures admitted to the emergency department were identified via a retrospective systematic query in the hospital information system using the ICD-10 German modification codes G40.0–G40.9. Patients with an unclear diagnosis of epilepsy were excluded. Sociodemographic as well as disease specific aspects were analyzed. Descriptive and Kruskal–Wallis one-way analysis of variance were used for statistical analysis.
Results: A total number of 62 epilepsy patients were included. The mean age was 58.1 years. Fractures concerned the upper extremity most frequently (43.5%, n = 20), and 70.0% (14/20) were humerus fractures. Admission to intensive care unit for acute trauma care was necessary in 29.0% patients (n = 18), and surgery in 45.2% patients (n = 28). Twenty-five patients (26.6%) showed clinical or radiological signs of traumatic brain injury. Provoking factors were identified in 20 patients (32.3%), i.e., acute withdrawal or excess of alcohol (n = 15), relevant sleep deprivation (n = 2), and intoxication or withdrawal of other illegal drugs or trivial infect (n = 1 for each) and non-compliance with anti-seizure drugs (n = 1). A decreased T-score (−1.04 ± 1.15) and Z-score (−0.84 ± 0.75) compared to healthy subjects were found.
Conclusion: Fractures in upper extremities, trunk and craniocerebral trauma occur frequently as seizure-induced injuries. Alcohol excess and withdrawal are important provoking factors and should be targeted with preventive measurements to avoid seizure related injuries and accidents.
Objective: To evaluate the incidence and risk factors of generalized convulsive seizure (GCS)-related fractures and injuries during video-EEG monitoring.
Methods: We analyzed all GCSs in patients undergoing video-EEG-monitoring between 2007 and 2019 at epilepsy centers in Frankfurt and Marburg in relation to injuries, falls and accidents associated with GCSs. Data were gathered using video material, EEG material, and a standardized reporting form.
Results: A total of 626 GCSs from 411 patients (mean age: 33.6 years; range 3–74 years; 45.0% female) were analyzed. Severe adverse events (SAEs) such as fractures, joint luxation, corneal erosion, and teeth loosening were observed in 13 patients resulting in a risk of 2.1% per GCS (95% CI 1.2–3.4%) and 3.2% per patient (95% CI 1.8–5.2%). Except for a nasal fracture due to a fall onto the face, no SAEs were caused by falls, and all occurred in patients lying in bed without evidence of external trauma. In seven patients, vertebral body compression fractures were confirmed by imaging. This resulted in a risk of 1.1% per GCS (95% CI 0.5–2.2%) and 1.7% per patient (95% CI 0.8–3.3%). These fractures occurred within the tonic phase of a GCS and were accompanied by a characteristic cracking noise. All affected patients reported back pain spontaneously, and an increase in pain on percussion of the affected spine section.
Conclusions: GCSs are associated with a substantial risk of fractures and shoulder dislocations that are not associated with falls. GCSs accompanied by audible cracking, and resulting in back pain, should prompt clinical and imaging evaluations.
Prospective evaluation of interrater agreement between EEG technologists and neurophysiologists
(2021)
We aim to prospectively investigate, in a large and heterogeneous population, the electroencephalogram (EEG)-reading performances of EEG technologists. A total of 8 EEG technologists and 5 certified neurophysiologists independently analyzed 20-min EEG recordings. Interrater agreement (IRA) for predefined EEG pattern identification between EEG technologists and neurophysiologits was assessed using percentage of agreement (PA) and Gwet-AC1. Among 1528 EEG recordings, the PA [95% confidence interval] and interrater agreement (IRA, AC1) values were as follows: status epilepticus (SE) and seizures, 97% [96–98%], AC1 kappa = 0.97; interictal epileptiform discharges, 78% [76–80%], AC1 = 0.63; and conclusion dichotomized as “normal” versus “pathological”, 83.6% [82–86%], AC1 = 0.71. EEG technologists identified SE and seizures with 99% [98–99%] negative predictive value, whereas the positive predictive values (PPVs) were 48% [34–62%] and 35% [20–53%], respectively. The PPV for normal EEGs was 72% [68–76%]. SE and seizure detection were impaired in poorly cooperating patients (SE and seizures; p < 0.001), intubated and older patients (SE; p < 0.001), and confirmed epilepsy patients (seizures; p = 0.004). EEG technologists identified ictal features with few false negatives but high false positives, and identified normal EEGs with good PPV. The absence of ictal features reported by EEG technologists can be reassuring; however, EEG traces should be reviewed by neurophysiologists before taking action.
Background: Mechanical thrombectomy and systemic thrombolysis are important therapies for stroke patients. However, there is disagreement about the accompanying risk of acute symptomatic seizures.
Methods: A retrospective analysis of patients with an acute ischaemic stroke caused by large vessel occlusion was performed. The patients were divided into four groups based on whether they received either mechanical thrombectomy (MT) or systemic thrombolysis (ST; group 1: MT+/ST−; group 2: MT+/ST+; group 3: MT−/ST+; group 4: MT−/ST−). Propensity score matching was conducted for each group combination (1:3, 1:4, 2:3, 2:4, 1:2, 3:4) using the covariates “NIHSS at admission”, “mRS prior to event” and “age”. The primary endpoint was defined as the occurrence of acute symptomatic seizures.
Results: A total of 987 patients met the inclusion criteria, of whom 208, 264, 169 and 346 belonged to groups 1, 2, 3 and 4, respectively. Propensity score matched groups consisted of 160:160, 143:143, 156:156, 144:144, 204:204 and 165:165 patients for the comparisons 1:3, 1:4, 2:3, 2:4, 1:2 and 3:4, respectively. Based on chi-squared tests, there was no significant difference in the frequency of acute symptomatic seizures between the groups. Subgroups varied in their frequency of acute symptomatic seizures, ranging from 2.8 to 3.8%, 2.8–4.4%, 3.6–3.8% and 4.9–6.3% in groups 1, 2, 3 and 4, respectively.
Conclusion: There was no association between MT or ST and an increased risk of acute symptomatic seizures in patients with an acute ischaemic stroke caused by large vessel occlusion who were treated at a primary stroke centre.
Recent data have suggested that performing recanalizing therapies in ischemic stroke might lead to an increased risk of acute symptomatic seizures. This applies to both intravenous thrombolysis and mechanical thrombectomy. We therefore determined the frequency of acute symptomatic seizures attributable to these two recanalization therapies using a large, population-based stroke registry in Central Europe. We performed two matched 1:1 case–control analyses. In both analyses, patients were matched for age, stroke severity on admission and pre-stroke functional status. The first analysis compared patients treated with intravenous thrombolysis to a non-recanalization control group. To isolate the effect of mechanical thrombectomy, we compared patients with both mechanical thrombectomy and intravenous thrombolysis to those with only intravenous thrombolysis treatment in a second analysis. From 135,117 patients in the database, 13,356 patients treated with only intravenous thrombolysis, and 1013 patients treated with both intravenous thrombolysis and mechanical thrombectomy were each matched to an equivalent number of controls. Patients with intravenous thrombolysis did not suffer from clinically apparent acute symptomatic seizures significantly more often than non-recanalized patients (treatment = 199; 1.5% vs. control = 237; 1.8%, p = 0.07). Mechanical thrombectomy in addition to intravenous thrombolysis also was not associated with an increased risk of acute symptomatic seizures, as the same number of patients suffered from seizures in the treatment and control group (both n = 17; 1.7%, p = 1). In a large population-based stroke registry, the frequency of clinically apparent acute symptomatic seizures was not increased in patients who received either intravenous thrombolysis alone or in conjunction with mechanical thrombectomy.
Purpose: 10-year retrospective study to assess burden of illness in individuals with tuberous sclerosis complex (TSC) identified from German healthcare data. Methods: Patients with TSC were identified by International Classification of Diseases code Q85.1. Patients with epilepsy were identified by epilepsy diagnosis or antiseizure medication (ASM) prescription after TSC diagnosis. Results: Using data from 2016 (final study year), 100 patients with TSC were identified (mean [range] age: 38 [1–86] years; male: 40%); prevalence: 7.9 per 100,000 (TSC), 2.2 per 100,000 (TSC with epilepsy). During the 10-year study period (2007–2016), 256 patients with TSC were identified and followed up for 1,784 patient- years (epilepsy: 36%, 616 patient-years). TSC manifestations/comorbidities (apart from epilepsy) were identi- fied more frequently in patients with epilepsy than without. Mean annual healthcare costs for patients with TSC were €6,139 per patient-year (PPY), mostly attributable to medication (35%) and inpatient care (29%). Patients with epilepsy incurred costs more than double those without. Mean (standard deviation [SD]) annual hospi- talisation rate (AHR) and length of stay (LOS) PPY: 0.5 (1.0) and 5.9 (18.6) days for TSC. AHR and LOS were greater in patients with epilepsy than without. Mean (SD) number of ASMs prescribed (TSC with epilepsy): 3.0 (2.3) over the entire observable time per patient. Mortality rates (vs. control): 5.08% (vs. 1.69%, p<0.001) for TSC, 7.53% (vs. 0.98%, p<0.001) for TSC with epilepsy, 3.68% (vs. 2.03%, p = 0.003) for TSC without epilepsy. Conclusion: Healthcare costs, resource utilisation, and mortality were greater in patients with TSC and epilepsy than those without epilepsy.