Smartphone-App Based Prediction of Large Vessel Occlusion

NCT ID: NCT04404504

Last Updated: 2022-09-01

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-03-20

Study Completion Date

2020-12-30

Brief Summary

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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

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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

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Acute Stroke

Study Design

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Observational Model Type

OTHER

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital, Essen

OTHER

Sponsor Role lead

Responsible Party

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Martin Köhrmann

Prof. Dr. med.

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Martin Köhrmann, Prof. Dr.

Role: STUDY_DIRECTOR

University Hospital, Essen

Locations

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University Hospital, Essen

Essen, North Rhine-Westphalia, Germany

Site Status

Countries

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Germany

References

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Frank B, Lembeck T, Toppe N, Brune B, Bozkurt B, Deuschl C, Nogueira RG, Dudda M, Risse J, Kill C, Forsting M, Kleinschnitz C, Kohrmann M. FAST-ED scale smartphone app-based prediction of large vessel occlusion in suspected stroke by emergency medical service. Ther Adv Neurol Disord. 2021 Nov 14;14:17562864211054962. doi: 10.1177/17562864211054962. eCollection 2021.

Reference Type RESULT
PMID: 34804205 (View on PubMed)

Other Identifiers

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18-8162

Identifier Type: -

Identifier Source: org_study_id

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