Background And Objectives: The benefit of mechanical thrombectomy (MT) in patients with acute ischemic stroke (AIS) with basilar artery occlusion (BAO) and a baseline National Institute of Health Stroke Scale (NIHSS) score <10 is unclear because this subpopulation has been substantially excluded from large clinical trials. The aim of our study was to determine whether MT ± IV thrombolysis (IVT) improves functional outcomes compared with IVT alone in patients with BAO and a NIHSS score <10.
Methods: We emulated a hypothetical trial including adult patients with BAO, a baseline NIHSS score <10, and prestroke modified Rankin scale (mRS) scores 0-2, comparing MT (±IVT) with IVT alone.
Introduction: Data on safety and efficacy of endovascular thrombectomy (EVT) for acute ischemic stroke in older patients are limited and controversial, and people aged 80 or older were under-represented in randomized trials. Our aim was to assess EVT effect for ischemic stroke patients aged ⩾80 at a nationwide level.
Patients And Methods: The cohort included stroke patients undergoing EVT from the Italian Registry of Endovascular Treatment in Acute Stroke (IRETAS).
Background: Mechanical thrombectomy (MT) was found to be beneficial in acute ischemic stroke patients with anterior tandem occlusion (a-TO). Instead, little is known about the effectiveness of MT in stroke patients with posterior tandem occlusion (p-TO). We aimed to compare MT within 24 h from last known well time in ischemic stroke patients with p-TO versus a-TO.
View Article and Find Full Text PDFJ Neurol
August 2024
Background: We aim to assess the association between procedural time and outcomes in patients in unsuccessful mechanical thrombectomy (MT) for anterior circulation acute stroke.
Methods: We conducted a cohort study on prospectively collected data from patients with M1 and/or M2 segment of middle cerebral artery occlusion with a thrombolysis in cerebral infarction 0-1 at the end of procedure. Primary outcome was 90-day poor outcome.
Medicine is entering a new era in which artificial intelligence (AI) and deep learning have a measurable impact on patient care. This impact is especially evident in cardiovascular medicine. While the purpose of this short opinion paper is not to provide an in-depth review of the many applications of AI in cardiovascular medicine, we summarize some of the important advances that have taken place in this domain.
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