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The impact of prehospital transport method on time to first computed tomography scan in patients with acute stroke: a retrospective district-wide analysis.
Eur J Emerg Med
February 2025
General Intensive Care Department, Soroka University Medical Center, and The Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Introduction Prehospital stroke scales have been developed to identify anterior large vessel occlusion (LVO) in acute ischemic stroke (AIS) patients for direct transport to thrombectomy-capable hospitals. However, its performance in a Vietnamese population remains unknown. We aimed to evaluate the predictive value of the Rapid Arterial oCclusion Evaluation (RACE) scale for LVO detection in patients with ischemic stroke presenting within 24 hours in Vietnam.
View Article and Find Full Text PDFPrognostic factors and impact of management strategies for status epilepticus: The STEPPER study in the Emilia-Romagna region, Italy.
Epilepsia
December 2024
IRCCS Istituto Delle Scienze Neurologiche di Bologna, full member of the European Reference Network for Rare and Complex Epilepsies (EpiCARE), Bologna, Italy.
Objective: The STEPPER (Status Epilepticus in Emilia-Romagna) study aimed to investigate the clinical characteristics, prognostic factors, and treatment approaches of status epilepticus (SE) in adults of the Emilia-Romagna region (ERR), Northern Italy.
Methods: STEPPER, an observational, prospective, multicentric cohort study, was conducted across neurology units, emergency departments, and intensive care units of the ERR over 24 months (October 2019-October 2021), encompassing incident cases of SE. Patients were followed up for 30 days.
Background: Despite decades of educational efforts, patients with acute ischemic stroke (AIS) remain delayed in seeking medical care, which becomes the greatest obstacle to the successful management of the condition.
Objective: To systematically explore the incidence and influencing factors of pre-hospital care-seeking delay in acute ischemic stroke patients.
Methods: We systematically searched the PubMed, Embase, Cochrane Library, Web of Science, and Cumulative Index to Nursing and Allied Health Literature from database inception to September 30, 2023.
[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm].
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
November 2024
Department of Nursing, the Second Affiliated Hospital of Dalian Medical University, Dalian 116027, Liaoning, China. Corresponding author: Chen Shuliang, Email:
Objective: To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their families, and provide data support for clinical decision-making.
Methods: A retrospective study was conducted. The clinical information of stroke patients (n = 53 793) were extracted from the Yidu cloud big data server system of the Second Affiliated Hospital of Dalian Medical University from January 1, 2001 to July 31, 2023.
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