Status Epilepticus after mechanical thrombectomy: The role of early EEG assessment in Stroke Unit, clinical and radiological prognostication.

BACKGROUND: Convulsive (CSE) and non-convulsive (NCSE) Status Epilepticus are a complication in 0.2-0.3% ischemic strokes. Large stroke and cortical involvement are the main risk factors for developing SE. This study evaluates the prevalence of SE in patients treated with endovascular thrombectomy (EVT) through EEG recording within 72- h from admission. Moreover, we compared clinical, radiological, and outcome measures in SE and no-SE patients. MATERIALS AND METHODS: We collected retrospectively demographical and clinical characteristics of acute ischemic stroke patients who underwent EVT, admitted in the Stroke Unit (SU) of the University Hospital of Trieste between January 2018 and March 2020 who underwent EEG recording within 72- h from the symptoms' onset. RESULTS: Out of 247 EVT patients, 138 met the inclusion criteria, of whom 9 (6.5%) showed SE with median onset time of 1 day (IQR 1-2). No difference was found between the two groups as for age, sex, risk factors, grade of recanalization, etiology of stroke, and closed vessel. The no-SE group presented higher NIHSS improvement rate (p=0.025) compared to the SE group. The sum of the lobes involved in the ischemic lesion was significantly higher in SE group (p=0.048). CONCLUSION: SE after EVT in large strokes is a non-rare complication, with most being NCSE. Performing a rapid EEG assessment in a Stroke Unit setting may allow for a prompt recognition and treatment of SE in the acute/hyper-acute phase. SE may be correlated with worse clinical outcomes in patients with large vessel occlusion.

Epidemiology and management of transient ischemic attack in Trieste district, how day hospital assessment improves outcomes: a five-year retrospective study.

BACKGROUND: Transient ischemic attack (TIA) is defined as a transient episode of neurologic dysfunction, without acute infarction or tissue injury lasting less than 24 h. Previous data suggest TIA precedes 15% of ischemic strokes, with a higher risk in the first week. Current practice guidelines advise evaluation through rapid neurological visit or admission to hospital. We provide data on TIA incidence in Trieste, and we compare three different types of assessment: day hospital (DH), stroke unit (SU), and emergency department/outpatients (ED). METHODS: This is a 5-year retrospective study of transient cerebrovascular events admitted in the University Hospital of Trieste (230.623 inhabitants), between 2016 and 2020. We calculated TIA prevalence in Trieste district's general population. Our primary endpoint is ischemic recurrences within 90 days, and we evaluate the possible association between different types of management. RESULTS: TIA incidence rate was 0.54/1000 inhabitants. In the multivariate analysis remained significantly associated with primary endpoint: ABCD2 (OR 1.625, CI 95% 1.114-2.369, p = 0.012) and DH evaluation (OR 0.260, CI 95% 0.082-0.819, p = 0.021). CONCLUSIONS: Incidence of TIA in Trieste district is in line with previous data. We demonstrate the crucial role of DH evaluation over the outpatient/ED in reducing overall mortality and recurrence rate. Prompt recognition of patients at high risk for cerebrovascular events and specialist follow-up may reduce the incidence of major vascular events and death.

Improving acute stroke assessment in non-enhanced computed tomography: automated tool for early ischemic lesion volume detection.

BACKGROUND AND OBJECTIVES: ASPECTs is a widely used marker to identify early stroke signs on non-enhanced computed tomography (NECT), yet it presents interindividual variability and it may be hard to use for non-experts. We introduce an algorithm capable of automatically estimating the NECT volumetric extension of early acute ischemic changes in the 3D space. We compared the power of this marker with ASPECTs evaluated by experienced practitioner in predicting the clinical outcome. METHODS: We analyzed and processed neuroimaging data of 153 patients admitted with acute ischemic stroke. All patients underwent a NECT at admission and on follow-up. The developed algorithm identifies the early ischemic hypodense region based on an automatic comparison of the gray level in the images of the two hemispheres, assumed to be an approximate mirror image of each other in healthy patients. RESULTS: In the two standard axial slices used to estimate the ASPECTs, the regions identified by the algorithm overlap significantly with those identified by experienced practitioners. However, in many patients, the regions identified automatically extend significantly to other slices. In these cases, the volume marker provides supplementary and independent information. Indeed, the clinical outcome of patients with volume marker = 0 can be distinguished with higher statistical confidence than the outcome of patients with ASPECTs = 10. CONCLUSION: The volumetric extension and the location of acute ischemic region in the 3D-space, automatically identified by our algorithm, provide data that are mostly in agreement with the ASPECTs value estimated by expert practitioners, and in some cases complementary and independent.