Early non-convulsive seizures are associated with the development of acute encephalopathy with biphasic seizures and late reduced diffusion

Evaluating the late seizures of acute encephalopathy with biphasic seizures and late reduced diffusion via monitoring using continuous electroencephalogram

BACKGROUND

Acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) causes clustered seizures (late seizures; LS) 3-7 days after early seizure (ES); however, few reports provide continuous electroencephalogram (C-EEG) monitoring details. This study aimed to evaluate the initial/last detection date of LS using C-EEG and determine whether LS EEG features correlate with neurological sequelae.

MATERIALS AND METHODS

We analyzed 28 patients diagnosed with AESD who underwent C-EEG monitoring between 2015 and 2020. Multiple pediatric neurologists and epileptologists evaluated the LS detection timing, duration, and severity. Based on the evaluated data, we compared the clinical characteristics and LS-induced neurological sequelae between the ESEEG+LS (initiated C-EEG immediately after ES) and LSEEG+LS (initiated C-EEG after LS confirmation) groups. Additionally, we compared LS clinical characteristics and severity between severe and non-severe groups for 15 patients (baseline Pediatric Cerebral Performance Category Scale score <3).

RESULTS

LS was detected in 17 of 28 patients. The earliest and latest LS detection dates were 2 and 11 days, respectively, and the longest LS duration was 7 days (median, 0.6 days). Regarding neurological sequelae, the LS duration was markedly longer in the severe group than that in the non-severe group during the distant period. However, LS severity was not associated with neurological sequelae.

CONCLUSION

This study highlights the importance of C-EEG as it could aid in the early detection of LS. Neurological sequelae correlated with LS duration but not severity.

Case Report: Non-convulsive seizure following traumatic brain injury - a significant occurrence that needs to be considered due to potential long-term sequelae

Introduction/background

Non convulsive seizures (NCS) following traumatic brain injury (TBI) may remain undiagnosed due to lack of overt clinical manifestation and can have long-term sequelae due to delay in timely treatment. Occurrence of early NCS is known to have subsequent neurologic sequelae due to excitotoxic neuronal injury.

Case report

This is a case report of a young girl who sustained a TBI due to a motor vehicle accident (MVA) and was admitted with a fluctuating level of consciousness. Her clinical presentation was attributed to TBI; however as her conscious level did not recover, an electroencephalogram (EEG) was requested, which detected non convulsive status epilepticus (NCSE). Anti-seizure medication (ASM) was started. Her follow-up EEG and magnetic resonance imaging (MRI) were suggestive of the potential adverse effects of prolonged NCSE.

Conclusion

NCS may remain undiagnosed in TBI due to a paucity of overt clinical manifestations. Every patient with TBI and altered consciousness at presentation should be evaluated by continuous EEG monitoring immediately, if possible, in the emergency department to avoid long-term sequelae of NCS in such cases.

Prediction and assessment of acute encephalopathy syndromes immediately after febrile status epilepticus

OBJECTIVE

This study aimed to predict occurrence of acute encephalopathy syndromes (AES) immediately after febrile status epilepticus in children and to explore the usefulness of electroencephalogram (EEG) in the early diagnosis of AES.

METHODS

We reviewed data from 120 children who had febrile status epilepticus lasting >30 min and were admitted to our hospital between 2012 and 2019. AES with reduced diffusion on brain magnetic resonance imaging was diagnosed in 11 of these patients. EEG and serum cytokines were analyzed in AES patients. Clinical symptoms and laboratory data were compared between AES and non-AES patients. Logistic regression analysis was used to identify early predictors of AES.

RESULTS

Multivariate logistic regression identified serum creatinine as a risk factor for developing AES. A scoring model to predict AES in the post-ictal phase that included serum creatinine, sodium, aspartate aminotransferase, and glucose was developed, and a score of 2 or more predicted AES with sensitivity of 90.9% and specificity of 71.6%. Post-ictus EEG revealed non-convulsive status epilepticus in four of the seven AES patients.

CONCLUSION

Children with febrile status epilepticus may be at risk of developing severe AES with reduced diffusion. Post-ictus EEG and laboratory data can predict the occurrence of severe AES.

Growth and differentiation factor-15 as a potential prognostic biomarker for status-epilepticus-associated-with-fever: A pilot study

OBJECTIVE

Biomarkers predicting poor outcomes of status-epilepticus-associated-with-fever (SEF) at an early stage may contribute to treatment guidance. However, none have been reported thus far. We investigated the dynamics of serum growth and differentiation factor (GDF)-15 after seizure onset in patients with SEF and determined whether GDF-15 can predict poor outcomes, particularly in the first 6 h after seizure onset.

METHODS

We enrolled 37 pediatric patients with SEF and eight patients with simple febrile seizures (SFS) and collected their blood samples within 24 h of seizure onset and eight febrile control patients between March 1, 2017 and September 30, 2020. All patients were aged ≤15 years.

RESULTS

In the SEF group, the median post-seizure serum GDF-15 values were 1,065 (<6h), 2,720 (6-12 h), and 2,411 (12-24 h) pg/mL. The median serum GDF-15 in the first 6 h was measured in patients with SEF without a significant past medical history (n = 21) and was found to be statistically significantly higher (1,587 pg/mL) than in the febrile control (551 pg/mL) and SFS (411 pg/mL) groups. The median serum GDF-15 was statistically significantly higher in patients with SEF with sequelae (n = 5) and patients with acute encephalopathy with biphasic seizures/reduced diffusion/hemorrhagic shock and encephalopathy syndrome (n = 6) than in patients with SEF without sequelae (n = 16) (15,898 vs 756 pg/mL) and patients with prolonged FS (n = 15) (9,448 vs 796 pg/mL).

CONCLUSIONS

This study demonstrates the dynamics of serum GDF-15 in patients with SEF and indicates the potential of GDF-15 as an early predictor of poor outcomes.

Predicting the Onset of Acute Encephalopathy With Biphasic Seizures and Late Reduced Diffusion by Using Early Laboratory Data

Background: Acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) often causes various neurological sequelae, necessitating early and objective differentiation of AESD from a febrile seizure (FS). Therefore, we developed a scoring system that predicts AESD onset using only early laboratory data. Methods: We selected patients with AESD or FS admitted to the Tottori University Hospital between November 2005 and September 2020 and collected laboratory data from onset to discharge in patients with FS and from onset to the second neurological events in patients with AESD. Results: We identified 18 patients with AESD and 181 patients with FS. In comparison with patients with FS, patients with AESD showed statistically significant increases in ammonia (NH3), blood sugar (BS), and serum creatinine (Cr) levels, and the white blood cell (WBC) count, and a significant decrease in pH at <3 h from onset. We set the cut-off values and adjusted the weight of each of these parameters based on data obtained <3 h from onset and proposed a scoring system for predicting AESD. This system showed 91% sensitivity and 94% specificity for distinguishing AESD from FS. These accuracies were only slightly improved by the addition of information related to consciousness and seizure duration (sensitivity, 91%; specificity, 96%). Conclusion: NH3, BS, and Cr levels, WBC count, and pH were significantly different between patients with AESD and patients with FS at <3 h from seizure onset. This scoring system using these data may enable the prediction of AESD onset for patients under sedation or without precise clinical information.