Prognostic Significance of Interictal Epileptiform Discharges in Newly Diagnosed Seizure Disorders

2011 ◽  
Vol 2011 ◽  
pp. 195
Author(s):  
G.N. Breningstall
2017 ◽  
Vol 44 (3-4) ◽  
pp. 128-134 ◽  
Author(s):  
Fabricio O. Lima ◽  
João A.G. Ricardo ◽  
Ana C. Coan ◽  
Diogo C. Soriano ◽  
Wagner M. Avelar ◽  
...  

Background and Purpose: The prognostic significance of interictal epileptiform discharges (IED) and periodic patterns (PP) after ischemic stroke has not been assessed. We sought to test whether IED and PP, detected on standard Electroencephalography (EEG) performed during the acute phase of ischemic stroke are associated with a worse functional outcome. Methods: One-hundred-fifty-seven patients 18 years or older with a diagnosis of acute ischemic stroke presenting within 72 h from stroke onset were prospectively enrolled and followed. Patients with a pre-stroke history of seizures or epilepsy, previous debilitating neurological disease or conditions that precluded the performance of EEG were excluded. Interpretation was performed by a blinded board certified neurophysiologist. IED and PP (grouped as epileptiform activity [EA]) were defined according to proposed guidelines. Univariable and multivariable analyses were used to identify predictors of outcome (modified Rankin Scale dichotomized ≤2 vs. ≥3) at 3 months. Results: In the univariable analysis, admission NIHSS (OR 1.20, 95% CI 1.12-1.28, p = 0.001), age (OR 1.03, 95% CI 1.01-1.05, p = 0.02), and presence of EA (OR 2.94, 95% CI 1.51-5.88, p = 0.001) were significantly associated with the outcome at 3 months. In the multivariable analysis, only admission NIHSS (OR 1.19, 95% CI 1.11-1.28, p < 0.001) and the presence of EA (OR 2.27, 95% CI 1.04-5.00, p = 0.04) were independently associated with the prognosis. Significance: The importance of EEG in the prognosis of acute ischemic stroke warrants additional research, examining the role of medication therapy on the outcome and the occurrence of seizures for those patients with specific EEG patterns.


Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Fabricio O Lima ◽  
João A Ricardo ◽  
Ana C Coan ◽  
Diogo C Soriano ◽  
Wagner M Avelar ◽  
...  

Introduction: Seizures after acute ischemic stroke lead to a worse functional outcome. Interictal epileptiform discharges (IED) and periodic patterns (PP) after ischemic stroke increase the risk of seizures. However, their prognostic significance has not been assessed. Hypothesis: We sought to test whether IED and PP, detected on standard EEG performed during the acute phase of ischemic stroke are associated with a worse functional outcome. Methods: One-hundred-fifty-seven patients 18 years or older with a diagnosis of acute ischemic stroke presenting within 72 hours from stroke onset were prospectively enrolled and followed. Patients with a pre-stroke history of seizures or epilepsy, previous debilitating neurological disease or conditions that precluded the performance of EEG were excluded. Interpretation was performed by a board certified neurophysiologist blinded to clinical data. IED and PP (grouped as epileptiform activity - EA) were defined according to proposed guidelines. Univariable and multivariable analysis were used to identify predictors of outcome (modified Rankin Scale dichotomized ≤ 2 vs. ≥ 3) at 3 months. Results: In the univariable analysis, admission NIHSS (OR 1.20, 95% CI 1.12-1.28, p=0.001), age (OR 1.03, 95% CI 1.01-1.05, p=0.02) and presence of EA (OR 2.94, 95% CI 1.51-5.88, p=0.001) were significantly associated with the outcome at 3 months. In the multivariable analysis, only admission NIHSS (OR 1.19, 95% CI 1.11-1.28, p<0.001) and the presence of EA (OR 2.27, 95% CI 1.04-5.00, p=0.04) were independently associated with the prognosis. Conclusion: The importance of EEG in the prognosis of acute ischemic stroke warrants additional research examining the role of medication therapy on the outcome and the occurrence of seizures for those patients with specific EEG patterns.


2015 ◽  
Vol 55 (2) ◽  
pp. 122-132
Author(s):  
Adetayo Adeleye ◽  
Alice W. Ho ◽  
Alberto Nettel-Aguirre ◽  
Valerie Kirk ◽  
Jeffrey Buchhalter

2021 ◽  
Vol 11 (5) ◽  
Author(s):  
Naval Daver ◽  
Sangeetha Venugopal ◽  
Farhad Ravandi

AbstractApproximately 30% of patients with newly diagnosed acute myeloid leukemia (AML) harbor mutations in the fms-like tyrosine kinase 3 (FLT3) gene. While the adverse prognostic impact of FLT3-ITDmut in AML has been clearly proven, the prognostic significance of FLT3-TKDmut remains speculative. Current guidelines recommend rapid molecular testing for FLT3mut at diagnosis and earlier incorporation of targeted agents to achieve deeper remissions and early consideration for allogeneic stem cell transplant (ASCT). Mounting evidence suggests that FLT3mut can emerge at any timepoint in the disease spectrum emphasizing the need for repetitive mutational testing not only at diagnosis but also at each relapse. The approval of multi-kinase FLT3 inhibitor (FLT3i) midostaurin with induction therapy for newly diagnosed FLT3mut AML, and a more specific, potent FLT3i, gilteritinib as monotherapy for relapsed/refractory (R/R) FLT3mut AML have improved outcomes in patients with FLT3mut AML. Nevertheless, the short duration of remission with single-agent FLT3i’s in R/R FLT3mut AML in the absence of ASCT, limited options in patients refractory to gilteritinib therapy, and diverse primary and secondary mechanisms of resistance to different FLT3i’s remain ongoing challenges that compel the development and rapid implementation of multi-agent combinatorial or sequential therapies for FLT3mut AML.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jan Pyrzowski ◽  
Jean- Eudes Le Douget ◽  
Amal Fouad ◽  
Mariusz Siemiński ◽  
Joanna Jędrzejczak ◽  
...  

AbstractClinical diagnosis of epilepsy depends heavily on the detection of interictal epileptiform discharges (IEDs) from scalp electroencephalographic (EEG) signals, which by purely visual means is far from straightforward. Here, we introduce a simple signal analysis procedure based on scalp EEG zero-crossing patterns which can extract the spatiotemporal structure of scalp voltage fluctuations. We analyzed simultaneous scalp and intracranial EEG recordings from patients with pharmacoresistant temporal lobe epilepsy. Our data show that a large proportion of intracranial IEDs manifest only as subtle, low-amplitude waveforms below scalp EEG background and could, therefore, not be detected visually. We found that scalp zero-crossing patterns allow detection of these intracranial IEDs on a single-trial level with millisecond temporal precision and including some mesial temporal discharges that do not propagate to the neocortex. Applied to an independent dataset, our method discriminated accurately between patients with epilepsy and normal subjects, confirming its practical applicability.


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