Cargando…
Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort
OBJECTIVE: The aim of the study was to model the effect of prehospital triage of emergent large vessel occlusion (ELVO) to endovascular capable center (ECC) on the timing of thrombectomy and intravenous (IV) thrombolysis using real-world data from a multihospital system. METHODS: We selected a cohor...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740215/ https://www.ncbi.nlm.nih.gov/pubmed/34823243 http://dx.doi.org/10.1159/000520078 |
_version_ | 1784629264626221056 |
---|---|
author | Matsoukas, Stavros Giovanni, Brian Rubinstein, Liorah Majidi, Shahram Stein, Laura K. Fifi, Johanna T. |
author_facet | Matsoukas, Stavros Giovanni, Brian Rubinstein, Liorah Majidi, Shahram Stein, Laura K. Fifi, Johanna T. |
author_sort | Matsoukas, Stavros |
collection | PubMed |
description | OBJECTIVE: The aim of the study was to model the effect of prehospital triage of emergent large vessel occlusion (ELVO) to endovascular capable center (ECC) on the timing of thrombectomy and intravenous (IV) thrombolysis using real-world data from a multihospital system. METHODS: We selected a cohort of 77 consecutive stroke patients who were brought by emergency medical services (EMS) to a nonendovascular capable center and then transferred to an ECC for mechanical thrombectomy (MT) (“actual” drip and ship [DS] cohort). We created a hypothetical scenario (bypass model [BM]), modeling transfer of the patients directly to an ECC, based on patients' initial EMS pickup address and closest ECC. Using another cohort of 73 consecutive patients, who were brought directly to an ECC by EMS and underwent endovascular intervention, we calculated mean door-to-needle and door-to-arterial puncture (AP) times (“actual” mothership [MS] cohort). Timings in the actual MS cohort and the actual DS cohort were compared to timings from the BM cohort. RESULTS: Median first medical contact (FMC) to IV thrombolysis time was 87.5 min (interquartile range [IQR] = 38) for the DS versus 78.5 min (IQR = 8.96) for the BM cohort, with p = 0.1672. Median FMC to AP was 244 min (IQR = 97) versus 147 min (IQR = 8.96) (p < 0.001), and median FMC to TICI 2B+ time was 299 min (IQR = 108.5) versus 197 min (IQR = 8.96) (p < 0.001) for the DS versus BM cohort, respectively. CONCLUSIONS: Modeled EMS prehospital triage of ELVO patients' results in shorter MT times without a change in thrombolysis times. As triage tools increase in sensitivity and specificity, EMS triage protocols stand to improve patient outcomes. |
format | Online Article Text |
id | pubmed-8740215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-87402152022-01-25 Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort Matsoukas, Stavros Giovanni, Brian Rubinstein, Liorah Majidi, Shahram Stein, Laura K. Fifi, Johanna T. Cerebrovasc Dis Extra Original Paper OBJECTIVE: The aim of the study was to model the effect of prehospital triage of emergent large vessel occlusion (ELVO) to endovascular capable center (ECC) on the timing of thrombectomy and intravenous (IV) thrombolysis using real-world data from a multihospital system. METHODS: We selected a cohort of 77 consecutive stroke patients who were brought by emergency medical services (EMS) to a nonendovascular capable center and then transferred to an ECC for mechanical thrombectomy (MT) (“actual” drip and ship [DS] cohort). We created a hypothetical scenario (bypass model [BM]), modeling transfer of the patients directly to an ECC, based on patients' initial EMS pickup address and closest ECC. Using another cohort of 73 consecutive patients, who were brought directly to an ECC by EMS and underwent endovascular intervention, we calculated mean door-to-needle and door-to-arterial puncture (AP) times (“actual” mothership [MS] cohort). Timings in the actual MS cohort and the actual DS cohort were compared to timings from the BM cohort. RESULTS: Median first medical contact (FMC) to IV thrombolysis time was 87.5 min (interquartile range [IQR] = 38) for the DS versus 78.5 min (IQR = 8.96) for the BM cohort, with p = 0.1672. Median FMC to AP was 244 min (IQR = 97) versus 147 min (IQR = 8.96) (p < 0.001), and median FMC to TICI 2B+ time was 299 min (IQR = 108.5) versus 197 min (IQR = 8.96) (p < 0.001) for the DS versus BM cohort, respectively. CONCLUSIONS: Modeled EMS prehospital triage of ELVO patients' results in shorter MT times without a change in thrombolysis times. As triage tools increase in sensitivity and specificity, EMS triage protocols stand to improve patient outcomes. S. Karger AG 2021-11-25 /pmc/articles/PMC8740215/ /pubmed/34823243 http://dx.doi.org/10.1159/000520078 Text en Copyright © 2021 by The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article licensed under the Creative Commons Attribution-NonCommercial-4.0 International License (CC BY-NC) (http://www.karger.com/Services/OpenAccessLicense), applicable to the online version of the article only. Usage and distribution for commercial purposes requires written permission. |
spellingShingle | Original Paper Matsoukas, Stavros Giovanni, Brian Rubinstein, Liorah Majidi, Shahram Stein, Laura K. Fifi, Johanna T. Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort |
title | Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort |
title_full | Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort |
title_fullStr | Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort |
title_full_unstemmed | Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort |
title_short | Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort |
title_sort | modeling the impact of prehospital triage on a true-life drip and ship mechanical thrombectomy urban patient cohort |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740215/ https://www.ncbi.nlm.nih.gov/pubmed/34823243 http://dx.doi.org/10.1159/000520078 |
work_keys_str_mv | AT matsoukasstavros modelingtheimpactofprehospitaltriageonatruelifedripandshipmechanicalthrombectomyurbanpatientcohort AT giovannibrian modelingtheimpactofprehospitaltriageonatruelifedripandshipmechanicalthrombectomyurbanpatientcohort AT rubinsteinliorah modelingtheimpactofprehospitaltriageonatruelifedripandshipmechanicalthrombectomyurbanpatientcohort AT majidishahram modelingtheimpactofprehospitaltriageonatruelifedripandshipmechanicalthrombectomyurbanpatientcohort AT steinlaurak modelingtheimpactofprehospitaltriageonatruelifedripandshipmechanicalthrombectomyurbanpatientcohort AT fifijohannat modelingtheimpactofprehospitaltriageonatruelifedripandshipmechanicalthrombectomyurbanpatientcohort |