000K  utf8
1100  2021$c2021-11-23
1500  eng
2050  urn:nbn:de:hbz:465-20220722-143833-9
2051  10.1177/17562864211057639
3000  Frank, Benedikt
3010  Bozkurt, Bessime
3010  Brune, Bastian
3010  Deuschl, Cornelius
3010  Fabian, Felix
3010  Kleinschnitz, Christoph
3010  Köhrmann, Martin
3010  Nogueira, Raul G.
4000  Validation of a shortened FAST-ED algorithm for smartphone app guided stroke triage  [Frank, Benedikt]
4209  Background and Purpose: Large vessel occlusion (LVO) recognition scales were developed to identify patients with LVO-related acute ischemic stroke (AIS) on the scene of emergency. Thus, they may enable direct transport to a comprehensive stroke centre (CSC). In this study, we aim to validate a smartphone app-based stroke triage with a shortened form of the Field Assessment Stroke Triage for Emergency Destination (FAST-ED). Methods: This retrospective validation study included 2815 patients with confirmed acute stroke and suspected acute stroke but final diagnosis other than stroke (stroke mimics) who were admitted by emergency medical service (EMS) to the CSC of the Neurological University Hospital Essen, Germany. We analysed the predictive accuracy of a shortened digital app-based FAST-ED ( 'FAST-ED App') for LVO-related AIS and yield comparison to various other LVO recognition scales. Results: The shortened FAST-ED App had comparable test quality (Area under ROC = 0.887) to predict LVO-related AIS to the original FAST-ED (0.889) and RACE (0.883) and was superior to Cincinnati Prehospital Stroke Severity (CPSS), 3-Item Stroke Scale (3-ISS) and National Institute of Health Stroke Scale (NIHSS). A FAST-ED App ⩾ 4 revealed very good accuracy to detect LVO related AIS (sensitivity of 77% and a specificity 87%) with an area under the curve c-statistics of 0.89 (95% CI: 0.87-0.90). In a hypothetical triage model, the number needed to screen in order to avoid one secondary transportation in an urban setting would be five. Conclusion: This validation study of a shortened FAST-ED assessment for a smartphone-app guided stroke triage yields good quality to identify patients with LVO.
4950  https://doi.org/10.1177/17562864211057639$xR$3Volltext$534
4950  https://nbn-resolving.org/urn:nbn:de:hbz:465-20220722-143833-9$xR$3Volltext$534
4961  https://duepublico2.uni-due.de/receive/duepublico_mods_00076290
5051  610
5550  EMS
5550  FAST-ED
5550  identification
5550  LVO
5550  prehospital
5550  Stroke Triage
5550  thrombectomy