NCT04404504

Smartphone-App Based Prediction of Large Vessel Occlusion

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

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 200 (actual)
• Sponsor: University Hospital, Essen · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

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).

Detailed 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 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.

Conditions

• Acute Stroke

Timeline

• Start date: 2019-03-20
• Primary completion: 2020-08-01
• Completion: 2020-12-30
• First posted: 2020-05-27
• Last updated: 2022-09-01

Locations

1 site across 1 country: Germany