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OpenTrials
Completed

NCT Number: NCT04404504

Smartphone-App Based Prediction of Large Vessel Occlusion

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).

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Key information

Conditions

Acute Stroke Brain Diseases Cardiovascular Diseases Central Nervous System Diseases Cerebrovascular Disorders Nervous System Diseases Stroke Vascular Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

University Hospital, Essen

Essen, North Rhine-Westphalia, 45147, Germany

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. Presence of large vessel occlusion

    Time frame: Baseline

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

Sponsors and collaborators

Lead sponsor

University Hospital, Essen

Other

Registry information

Official study title

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

Important dates

Study start
2019
Primary completion
2020
Study completion
2020
First posted
May 27, 2020
Registry last updated
Sep 1, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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