The FAST-ED App: A Smartphone Platform for the Field Triage of Patients With Stroke

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dc.contributor.author Nogueira, Raul G.
dc.contributor.author Silva, Gisele S. [UNIFESP]
dc.contributor.author Lima, Fabricio O.
dc.contributor.author Yeh, Yu-Chih
dc.contributor.author Fleming, Carol
dc.contributor.author Branco, Daniel
dc.contributor.author Yancey, Arthur H.
dc.contributor.author Ratcliff, Jonathan J.
dc.contributor.author Wages, Robert Keith
dc.contributor.author Doss, Earnest
dc.contributor.author Bouslama, Mehdi
dc.contributor.author Grossberg, Jonathan A.
dc.contributor.author Haussen, Diogo C.
dc.contributor.author Sakano, Teppei
dc.contributor.author Frankel, Michael R.
dc.date.accessioned 2020-07-13T11:53:23Z
dc.date.available 2020-07-13T11:53:23Z
dc.date.issued 2017
dc.identifier http://dx.doi.org/10.1161/STROKEAHA.116.016026
dc.identifier.citation Stroke. Philadelphia, v. 48, n. 5, p. 1278-1284, 2017.
dc.identifier.issn 0039-2499
dc.identifier.uri https://repositorio.unifesp.br/handle/11600/54583
dc.description.abstract Background and Purpose-The Emergency Medical Services field triage to stroke centers has gained considerable complexity with the recent demonstration of clinical benefit of endovascular treatment for acute ischemic stroke. We sought to describe a new smartphone freeware application designed to assist Emergency Medical Services professionals with the field assessment and destination triage of patients with acute ischemic stroke. Methods-Review of the application's platform and its development as well as the different variables, assessments, algorithms, and assumptions involved. Results-The FAST-ED (Field Assessment Stroke Triage for Emergency Destination) application is based on a built-in automated decision-making algorithm that relies on (1) a brief series of questions assessing patient's age, anticoagulant usage, time last known normal, motor weakness, gaze deviation, aphasia, and hemineglect en
dc.description.abstract (2) a database of all regional stroke centers according to their capability to provide endovascular treatment en
dc.description.abstract and (3) Global Positioning System technology with real-time traffic information to compute the patient's eligibility for intravenous tissue-type plasminogen activator or endovascular treatment as well as the distances/transportation times to the different neighboring stroke centers in order to assist Emergency Medical Services professionals with the decision about the most suitable destination for any given patient with acute ischemic stroke. Conclusions-The FAST-ED smartphone application has great potential to improve the triage of patients with acute ischemic stroke, as it seems capable to optimize resources, reduce hospital arrivals times, and maximize the use of both intravenous tissue-type plasminogen activator and endovascular treatment ultimately leading to better clinical outcomes. Future field studies are needed to properly evaluate the impact of this tool in stroke outcomes and resource utilization. en
dc.format.extent 1278-1284
dc.language.iso eng
dc.publisher Lippincott Williams & Wilkins
dc.relation.ispartof Stroke
dc.rights Acesso aberto
dc.subject algorithms en
dc.subject aphasia en
dc.subject emergency medicine en
dc.subject stroke en
dc.subject triage en
dc.title The FAST-ED App: A Smartphone Platform for the Field Triage of Patients With Stroke en
dc.type Artigo
dc.description.affiliation Emory Univ, Sch Med, Grady Mem Hosp, Marcus Stroke & Neurosci Ctr, Atlanta, GA USA
dc.description.affiliation Emory Univ, Sch Med, Grady Mem Hosp, Dept Emergency Med, Atlanta, GA USA
dc.description.affiliation Fed Univ Sao Paulo UNIFESP, Dept Neurol, Sao Paulo, Brazil
dc.description.affiliation Hosp Israelita Albert Einstein, Programa Integrado Neurol, Sao Paulo, Brazil
dc.description.affiliation Univ Fortaleza, Curso Med, Ciencias Saude, Fortaleza, Ceara, Brazil
dc.description.affiliation Allm Grp, Tokyo, Japan
dc.description.affiliation Medicinia, Sao Paulo, Brazil
dc.description.affiliation Georgia Off EMS & Trauma, Brookhaven, NY USA
dc.description.affiliationUnifesp Fed Univ Sao Paulo UNIFESP, Dept Neurol, Sao Paulo, Brazil
dc.identifier.doi 10.1161/STROKEAHA.116.016026
dc.description.source Web of Science
dc.identifier.wos WOS:000401818400034
dc.coverage Philadelphia
dc.citation.volume 48
dc.citation.issue 5



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