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mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes
BACKGROUND: Several stroke scales have been implemented to enhance early recognition of large vessel occlusion (LVO) in the field. These scales necessitate a tiered approach requiring emergency medical services (EMS) to utilize two scales, one for identifying stroke and another for differentiating L...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381732/ https://www.ncbi.nlm.nih.gov/pubmed/35989921 http://dx.doi.org/10.3389/fneur.2022.912119 |
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author | El Koussa, Roy Linder, Sarah Quayson, Alicia Banash, Shawn MacNeal, James J. Shah, Parshva Brenner, Mariaelana Levine, Ross Zaidat, Osama O. Bansal, Vibhav |
author_facet | El Koussa, Roy Linder, Sarah Quayson, Alicia Banash, Shawn MacNeal, James J. Shah, Parshva Brenner, Mariaelana Levine, Ross Zaidat, Osama O. Bansal, Vibhav |
author_sort | El Koussa, Roy |
collection | PubMed |
description | BACKGROUND: Several stroke scales have been implemented to enhance early recognition of large vessel occlusion (LVO) in the field. These scales necessitate a tiered approach requiring emergency medical services (EMS) to utilize two scales, one for identifying stroke and another for differentiating LVO from non-LVO. Ideally, a single stroke scale should be utilized by EMS for triage. METHODS: This is a prospective analysis of 150 consecutive patients presenting with stroke symptoms from the field. The stroke scale modified Gaze-Face-Arm-Speech-Time (mG-FAST) was used to simultaneously identify stroke and detect LVO in the pre-hospital setting. Imaging was used to confirm the presence of a LVO and determine the sensitivity and specificity of mG-FAST. The receiver operating curve (ROC) was plotted to calculate the area under the curve (AUC). Youden's index was used to determine the optimal cutoff score. Inter-rater reliability was obtained by comparing the EMS and stroke provider mG-FAST scores. EMS dispatch-to-thrombectomy-capable stroke center (mothership, MS) arrival time and groin puncture time were compared before and after the implementation of mG-FAST. RESULTS: 33/150 patients had a confirmed LVO by imaging. 32/33 patients had an mG-FAST score ≥3. The AUC of mG-FAST was 0.899. An mG-FAST cut-off point of ≥3 yielded a sensitivity of 0.97 and specificity of 0.55 for LVO. The accuracy of this cut-off point was 64%. The EMS dispatch-to-MS time and groin puncture time decreased by 22 and 40 min after implementation of mG-FAST, respectively. With admission to the MS, the EMS dispatch-to-MS time decreased by 174.7 min compared to admission to a drip-and-ship (DS) hospital. CONCLUSIONS: Utilizing a single stroke scale in the field improves EMS dispatch-to-MS time, EMS dispatch-to-groin puncture time, and EMS door-to-intervention time. Implementation of mG-FAST as a pre-hospital screening tool is an effective method of triaging patients to the MS or DS hospitals. |
format | Online Article Text |
id | pubmed-9381732 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93817322022-08-18 mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes El Koussa, Roy Linder, Sarah Quayson, Alicia Banash, Shawn MacNeal, James J. Shah, Parshva Brenner, Mariaelana Levine, Ross Zaidat, Osama O. Bansal, Vibhav Front Neurol Neurology BACKGROUND: Several stroke scales have been implemented to enhance early recognition of large vessel occlusion (LVO) in the field. These scales necessitate a tiered approach requiring emergency medical services (EMS) to utilize two scales, one for identifying stroke and another for differentiating LVO from non-LVO. Ideally, a single stroke scale should be utilized by EMS for triage. METHODS: This is a prospective analysis of 150 consecutive patients presenting with stroke symptoms from the field. The stroke scale modified Gaze-Face-Arm-Speech-Time (mG-FAST) was used to simultaneously identify stroke and detect LVO in the pre-hospital setting. Imaging was used to confirm the presence of a LVO and determine the sensitivity and specificity of mG-FAST. The receiver operating curve (ROC) was plotted to calculate the area under the curve (AUC). Youden's index was used to determine the optimal cutoff score. Inter-rater reliability was obtained by comparing the EMS and stroke provider mG-FAST scores. EMS dispatch-to-thrombectomy-capable stroke center (mothership, MS) arrival time and groin puncture time were compared before and after the implementation of mG-FAST. RESULTS: 33/150 patients had a confirmed LVO by imaging. 32/33 patients had an mG-FAST score ≥3. The AUC of mG-FAST was 0.899. An mG-FAST cut-off point of ≥3 yielded a sensitivity of 0.97 and specificity of 0.55 for LVO. The accuracy of this cut-off point was 64%. The EMS dispatch-to-MS time and groin puncture time decreased by 22 and 40 min after implementation of mG-FAST, respectively. With admission to the MS, the EMS dispatch-to-MS time decreased by 174.7 min compared to admission to a drip-and-ship (DS) hospital. CONCLUSIONS: Utilizing a single stroke scale in the field improves EMS dispatch-to-MS time, EMS dispatch-to-groin puncture time, and EMS door-to-intervention time. Implementation of mG-FAST as a pre-hospital screening tool is an effective method of triaging patients to the MS or DS hospitals. Frontiers Media S.A. 2022-08-03 /pmc/articles/PMC9381732/ /pubmed/35989921 http://dx.doi.org/10.3389/fneur.2022.912119 Text en Copyright © 2022 El Koussa, Linder, Quayson, Banash, MacNeal, Shah, Brenner, Levine, Zaidat and Bansal. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology El Koussa, Roy Linder, Sarah Quayson, Alicia Banash, Shawn MacNeal, James J. Shah, Parshva Brenner, Mariaelana Levine, Ross Zaidat, Osama O. Bansal, Vibhav mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
title | mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
title_full | mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
title_fullStr | mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
title_full_unstemmed | mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
title_short | mG-FAST, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
title_sort | mg-fast, a single pre-hospital stroke screen for evaluating large vessel and non-large vessel strokes |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381732/ https://www.ncbi.nlm.nih.gov/pubmed/35989921 http://dx.doi.org/10.3389/fneur.2022.912119 |
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