Smartphone-App Based Prediction of Large Vessel Occlusion
NCT ID: NCT04404504
Last Updated: 2022-09-01
Study Results
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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COMPLETED
200 participants
OBSERVATIONAL
2019-03-20
2020-12-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
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.
18 Years
ALL
No
Sponsors
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University Hospital, Essen
OTHER
Responsible Party
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Martin Köhrmann
Prof. Dr. med.
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
Countries
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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.
Other Identifiers
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18-8162
Identifier Type: -
Identifier Source: org_study_id
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