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

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT04404504

Enrollment

200

Registered

2020-05-27

Start date

2019-03-20

Completion date

2020-12-30

Last updated

2022-09-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Acute Stroke

Keywords

Prehospital Triage

Brief 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.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

All patients above the age of 18 with suspected acute stroke transferred to the university hospital Essen. Inclusion criteria: suspected acute stroke, age above 18 years and a digitally transmitted FAST-ED by EMS prior to admission.

Exclusion criteria

Known symptom onset beyond 24 Hours.

Design outcomes

Primary

Measure	Time frame	Description
Presence of large vessel occlusion	Baseline	Acute stroke due to large vessel occlusion as measured by computed tomography angiography (CT-A)

Countries

Germany

Outcome results