Poststroke epilepsy (PSE) is associated with higher mortality and poor functional and
cognitive outcomes in patients with stroke. With the remarkable development of acute stroke …

Clinical data mining of predictive models offers significant advantages for re-evaluating and
leveraging large amounts of complex clinical real-world data and experimental comparison …

Background Acute symptomatic epileptic seizures are frequently seen in neurocritical care.
To prevent subsequent unprovoked seizures, long-term treatments with antiseizure …

Background Early post-stroke seizures (EPSS) are associated with an increased risk of
mortality and post-stroke epilepsy. This study aimed to identify potential risk factors for …

Background Endovascular treatment (EVT) is the standard of care of ischaemic stroke due to
occlusion of large vessels. Although EVT can significantly improve short-and long-term …

Background Epilepsy is a serious complication after an ischemic stroke. Although two
studies have developed prediction model for post-stroke epilepsy (PSE), their accuracy …

Introduction The development of post-stroke epilepsy (PSE) is related to a worse clinical
outcome in stroke patients. Adding a biomarker to the clinical diagnostic process for the …

Aim To evaluate and synthesize the evidence and knowledge gaps on primary prevention
and treatment of post-stroke acute symptomatic seizures (ASSs) using antiseizure …

Background and objectives: while acute ischemic stroke is the leading cause of epilepsy in
the elderly population, data about its risk factors have been conflicting. Therefore, the aim of …

Objective Epileptic seizures occur frequently after stroke due to changes in brain function
and structure, and up to around 10% of stroke patients experience stroke recurrence in the …