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临床试验/NCT04404504
NCT04404504已完成不适用

Smartphone-App Based Prediction of Large Vessel Occlusion in Suspected Stroke by Emergency Medical Service Using FAST-ED

University Hospital, Essen1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2019年3月20日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
200
试验地点
1
主要终点
Presence of large vessel occlusion

研究概览

简要总结

The aim of this non-interventional study is to evaluate a German version of the triage stroke-score FAST-ED performed by ambulance service personnel in a pre-hospital setting using a smartphone app (Join-Triage, Allm).

详细描述

The emergency service of the city of Essen (NRW, Germany), which is organised by the Essen fire-department, will perform a prehospital triage stroke-score using a smartphone-app (Join-Triage, Allm) when referring patients with suspected stroke to the university clinic Essen. The triage stroke-score FAST-ED (Field Assessment Stroke Triage for Emergency Destination), as well as the expected time of arrival will be transmitted by an additional smartphone-app in advance of the arrival (Join, Allm). Patients will receive emergency workup to identify stroke etiology and presence of large vessel occlusion. Final diagnosis, presence of large vessel occlusion and type of revascularisation treatment will be registered. Sensitivity, specificity and further criteria for test quality will be calculated for the stroke triage by emergency service in field using the FAST-ED.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 未提供

排除标准

  • 未提供

结局指标

主要结局

Presence of large vessel occlusion

时间窗: Baseline

Acute stroke due to large vessel occlusion as measured by computed tomography angiography (CT-A)

次要结局

未报告次要终点

研究者

发起方
University Hospital, Essen
申办方类型
Other
责任方
Principal Investigator
主要研究者

Martin Köhrmann

Prof. Dr. med.

University Hospital, Essen

研究点 (1)

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