Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center
Introduction Rapid detection and appropriate triage of large vessel occlusion (LVO) strokes, upon arrival to a hospital system, is key to achieving better outcomes after endovascular thrombectomy (EVT) mediated recanalization of LVO strokes . Automated neuroimaging analyses has the potential to stre...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | Stroke: Vascular and Interventional Neurology |
| Online Access: | https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_1.205 |
| _version_ | 1827925203964919808 |
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| author | Shashvat M Desai Randy Bravo Joshua Catapano Angelina Cooper Ashutosh P Jadhav |
| author_facet | Shashvat M Desai Randy Bravo Joshua Catapano Angelina Cooper Ashutosh P Jadhav |
| author_sort | Shashvat M Desai |
| collection | DOAJ |
| description | Introduction Rapid detection and appropriate triage of large vessel occlusion (LVO) strokes, upon arrival to a hospital system, is key to achieving better outcomes after endovascular thrombectomy (EVT) mediated recanalization of LVO strokes . Automated neuroimaging analyses has the potential to streamline intra‐ hospital workflow. We aim to study the change in vital intra‐hospital time metrics before and after adoption of an automated neuroimaging triage platform (ANTP). Methods We performed a retrospective analysis of prospectively collected data at our EVT capable stroke center between April 2019 and November 2021. IschemaView’s Rapid software was adopted in October 2020 for triage of stroke patients. Patients treated before were our control cohort and patients treated after were our intervention cohort. Confirmed LVO strokes presenting to our center within 24 hours of stroke onset were included. Results A total of 305 patients were included‐ control (n = 150) and intervention cohort (n = 155). Age (70±15 vs 72 ±15,p = .40), NIHSS score (13 ±8 vs 14 ±7, p = .24), and last‐known‐well to arrival (392 ±464 vs 376 ±427 min, p = .38) were comparable between the two groups. Time from arrival to non‐contrast CT head was also comparable between the two groups (150 ±712 vs 161 ±794, p = .89). Time from non‐contrast CT head to decision to EVT (36 ±54 vs 22 ±58, p = .06) and time from non‐contrast CT to groin puncture (41 ±61 vs 61 ±65, p = .01) were shorter in the intervention cohort compared to control cohort. Length of stay and discharge mRS score were similar between the two cohorts. Conclusions Automated neuroimaging triage platform has the potential to improve workflow by decreasing time from non‐contrast CT to EVT decision and groin puncture. Further studies are required to study impact on patient outcomes. |
| first_indexed | 2024-03-13T05:22:59Z |
| format | Article |
| id | doaj.art-18c961d329154f5c8b8478460b6d12d7 |
| institution | Directory Open Access Journal |
| issn | 2694-5746 |
| language | English |
| last_indexed | 2024-03-13T05:22:59Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Stroke: Vascular and Interventional Neurology |
| spelling | doaj.art-18c961d329154f5c8b8478460b6d12d72023-06-15T10:40:49ZengWileyStroke: Vascular and Interventional Neurology2694-57462023-03-013S110.1161/SVIN.03.suppl_1.205Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke CenterShashvat M Desai0Randy Bravo1Joshua Catapano2Angelina Cooper3Ashutosh P Jadhav4HonorHealth Research and Innovation Institute Scottsdale United States of AmericaHonorHealth Research and Innovation Institute Scottsdale United States of AmericaBarrow Neurological Institute Phoenix United States of AmericaHonorHealth Research and Innovation Institute Scottsdale United States of AmericaBarrow Neurological Institute Phoenix United States of AmericaIntroduction Rapid detection and appropriate triage of large vessel occlusion (LVO) strokes, upon arrival to a hospital system, is key to achieving better outcomes after endovascular thrombectomy (EVT) mediated recanalization of LVO strokes . Automated neuroimaging analyses has the potential to streamline intra‐ hospital workflow. We aim to study the change in vital intra‐hospital time metrics before and after adoption of an automated neuroimaging triage platform (ANTP). Methods We performed a retrospective analysis of prospectively collected data at our EVT capable stroke center between April 2019 and November 2021. IschemaView’s Rapid software was adopted in October 2020 for triage of stroke patients. Patients treated before were our control cohort and patients treated after were our intervention cohort. Confirmed LVO strokes presenting to our center within 24 hours of stroke onset were included. Results A total of 305 patients were included‐ control (n = 150) and intervention cohort (n = 155). Age (70±15 vs 72 ±15,p = .40), NIHSS score (13 ±8 vs 14 ±7, p = .24), and last‐known‐well to arrival (392 ±464 vs 376 ±427 min, p = .38) were comparable between the two groups. Time from arrival to non‐contrast CT head was also comparable between the two groups (150 ±712 vs 161 ±794, p = .89). Time from non‐contrast CT head to decision to EVT (36 ±54 vs 22 ±58, p = .06) and time from non‐contrast CT to groin puncture (41 ±61 vs 61 ±65, p = .01) were shorter in the intervention cohort compared to control cohort. Length of stay and discharge mRS score were similar between the two cohorts. Conclusions Automated neuroimaging triage platform has the potential to improve workflow by decreasing time from non‐contrast CT to EVT decision and groin puncture. Further studies are required to study impact on patient outcomes.https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_1.205 |
| spellingShingle | Shashvat M Desai Randy Bravo Joshua Catapano Angelina Cooper Ashutosh P Jadhav Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center Stroke: Vascular and Interventional Neurology |
| title | Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center |
| title_full | Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center |
| title_fullStr | Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center |
| title_full_unstemmed | Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center |
| title_short | Abstract Number ‐ 205: Impact of Automated Neuroimaging Triage Platform on Time Metrics at a Thrombectomy Capable Stroke Center |
| title_sort | abstract number 205 impact of automated neuroimaging triage platform on time metrics at a thrombectomy capable stroke center |
| url | https://www.ahajournals.org/doi/10.1161/SVIN.03.suppl_1.205 |
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