Smartphone-App Based Prediction of Large Vessel Occlusion
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Acute Stroke
- Type
- Observational
- Design
- Observational Model: OtherTime Perspective: Prospective
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
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 ...
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.
Tracking Information
- NCT #
- NCT04404504
- Collaborators
- Not Provided
- Investigators
- Study Director: Martin Köhrmann, Prof. Dr. University Hospital, Essen