Revascularization Therapies for Ischemic Stroke and Association With Risk of Epilepsy: A Danish Nationwide Register-Based Study.

BACKGROUND: The association between stroke revascularization therapies and poststroke epilepsy is only sparsely investigated, and results are conflicting. The aim of this study is to investigate whether stroke revascularization therapies are associated with different risks of poststroke epilepsy. METHODS AND RESULTS: We conducted a nationwide, register-based, propensity score-matched cohort study. We identified 40 816 patients admitted with a first ischemic stroke and no prior history of epilepsy in Denmark between January 1, 2011, and December 16, 2018. Of these, 6541 were treated with thrombolysis, 379 with thrombectomy, and 1005 with both thrombolysis and thrombectomy. The 3 treatment groups were each matched 1:1 to patients with stroke not treated with revascularization. Exact matching was done for sex, while propensity scores included information on stroke severity, cortical involvement, age, comorbidities, and socioeconomic parameters. Outcome was any diagnosis of epilepsy. We used Cox regressions to estimate adjusted hazard ratios (HRs) of epilepsy after ischemic stroke. Compared with matched patients with ischemic stroke not receiving revascularization treatment, patients who received thrombolysis alone had 32% lower risk of epilepsy (adjusted HR, 0.68 [95% CI, 0.57-0.81]) and patients who received thrombolysis and thrombectomy had 45% lower risk of epilepsy (adjusted HR, 0.55 [95% CI, 0.41-0.73]). Thrombectomy alone was not associated with significantly lower risk of epilepsy compared with matched patients with ischemic stroke not receiving revascularization therapy (adjusted HR, 0.78 [95% CI, 0.57-1.29]). CONCLUSIONS: Thrombolysis alone and in combination with thrombectomy in ischemic stroke was associated with lower risk of epilepsy, whereas thrombectomy alone was not associated with lower risk of epilepsy.

Stroke and Risk of Epilepsy: A Danish Nationwide Register-Based Study.

BACKGROUND: Stroke is associated with a risk of epilepsy, but associations with age, sex, stroke type and severity, time trends, and mortality are uncertain. We studied the risk of epilepsy after stroke while accounting for sex, age, stroke types and severity, calendar time, and death. METHODS: This was a prospective nationwide register-based, matched cohort study of patients admitted with a validated first stroke in Denmark from April 1, 2004, to December 16, 2018, excluding those with prior epilepsy. Patients with stroke were matched 10:1 on age, sex, and calendar time with reference people without prior epilepsy or stroke. We estimated the cumulative incidence of an epilepsy diagnosis in the Danish National Patient Registry (International Classification of Diseases Tenth Revision: G40) with death as a competing risk using competing risk regression and estimated adjusted hazard ratios by Cox regression models. RESULTS: We identified 101 034 patients with stroke (46.5% female; mean age, 70.4 years) who survived 14 days after stroke along with 1 010 333 matched reference people. Two years after the stroke, the cumulative incidence of epilepsy was 3.0% (95% CI, 2.9-3.2) after ischemic stroke and 8.6% (95% CI, 8.0-9.2) after intracerebral hemorrhage versus 0.7% (95% CI, 0.7-0.7) in the matched references. Compared with the reference population, the 2-year hazard ratio of epilepsy was 21.7 (95% CI, 20.3-23.2) after ischemic stroke and 61.3 (95% CI, 51.1-73.4) after intracerebral hemorrhage. The risk of epilepsy increased with stroke severity; the 2-year cumulative incidence of epilepsy was 10.5% (95% CI, 9.5-11.4) for very severe ischemic stroke and 13.1% (95% CI, 11.1-15.1) after very severe intracerebral hemorrhage. CONCLUSIONS: In this population-based study of patients with validated stroke, the absolute and relative risk estimates of poststroke epilepsy were lower compared with previous studies. Reasons for the lower risk estimates include accounting for the high mortality associated with stroke, which had a significant impact on risk especially for severe stroke.

Post resuscitation prognostication by EEG in 24 vs 48 h of targeted temperature management.

OBJECTIVE: To test if prognostic performance is affected by prolonged targeted temperature management (TTM) in comatose out-of-hospital cardiac arrest patients using two recently proposed EEG pattern classification models. METHODS: In this sub-study of the "Target Temperature Management for 48 vs. 24 hand Neurologic Outcome after Out-of-Hospital Cardiac Arrest: A Randomized Clinical Trial", EEGs of 20-30 min duration were collected 24 h and 48 h after reaching the target temperature of 33 ±â€¯1 °C. We classified EEGs according to two EEG classification models by Westhall et al. ("highly malignant", "malignant" and "benign") and Hofmeijer et al. ("unfavorable", "intermediate" and "favorable"). We tested prognostic ability against 6 months functional outcome using the Cerebral Performance Category score. RESULTS: We recorded EEGs in 120 patients at 24 h and in 44 patients at 48 h. We found no difference in specificities or sensitivities of the two models between the two TTM groups (all p-values >0.19) or in prognostication at 24 h compared to 48 h (all p-values >0.13), except for the presence of EEG reactivity favoring prognostication at 24 h (p < 0.001). Being classified in the "benign" or "favorable" category was strongly associated with good outcome with specificities of 100% (90-100) and 97% (85-100) for the Westhall and Hofmeijer models respectively. CONCLUSIONS: We found no difference in the prognostic performance of the two studied EEG classification models during prolonged TTM for 48 h compared to standard duration, nor between EEG classification performed at 24 h versus 48 h after reaching target temperature. The two models performed best in good outcome prediction.

Large inter-rater variability on EEG-reactivity is improved by a novel quantitative method.

OBJECTIVE: To assess inter-rater agreement on EEG-reactivity (EEG-R) in comatose patients and compare it with a quantitative method (QEEG-R). METHODS: Six 30-s stimulation epochs (noxious, visual and auditory) were performed during EEG on 19 neurosurgical and 11 cardiac arrest patients. Six experts analysed EEGs for reactivity using their habitual methods. QEEG-R was defined as present if ≥2/6 epochs were reactive (stimulation/rest power ratio exceeding noise level). Three-months patient outcome was assessed by the Cerebral Performance Category Score (CPC) dichotomized in good (1-2) or poor (3-5). RESULTS: Agreement among experts on overall EEG-R varied from 53% to 83% (κ: 0.05-0.64) and reached 100% (κ: 1) between two QEEG-R calculators. For the experts, absence of EEG-R yielded sensitivities for poor outcome between 40-85% and specificities between 20-90%, for QEEG-R sensitivity was 40% (CI: 23-68%) and specificity 100% (CI: 69-100%). CONCLUSIONS: There is a large inter-rater variation among experts on EEG-R assessment in comatose patients. QEEG-R is a promising objective prognostic parameter with low inter-rater variation and a high specificity for prediction of poor outcome. SIGNIFICANCE: Clinicians should be cautious when using the traditional, qualitative method, in particular in end-of-life decisions. Implementation of the quantitative method in clinical practice may improve reliability of reactivity assessments.