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Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models

BACKGROUND: The effect of the COVID pandemic on stroke network performance is unclear, particularly with consideration of drip&ship vs. mothership models. AIMS: We systematically reviewed and meta-analyzed variations in stroke admissions, rate and timing of reperfusion treatments during the firs...

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Autores principales: Romoli, Michele, Eusebi, Paolo, Forlivesi, Stefano, Gentile, Mauro, Giammello, Fabrizio, Piccolo, Laura, Giannandrea, David, Vidale, Simone, Longoni, Marco, Paolucci, Matteo, Hsiao, Jessica, Sayles, Emily, Yeo, Leonard LL, Kristoffersen, Espen Saxhaug, Chamorro, Angel, Jiao, Liqun, Khatri, Pooja, Tsivgoulis, Georgios, Paciaroni, Maurizio, Zini, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521356/
https://www.ncbi.nlm.nih.gov/pubmed/34427480
http://dx.doi.org/10.1177/17474930211041202
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author Romoli, Michele
Eusebi, Paolo
Forlivesi, Stefano
Gentile, Mauro
Giammello, Fabrizio
Piccolo, Laura
Giannandrea, David
Vidale, Simone
Longoni, Marco
Paolucci, Matteo
Hsiao, Jessica
Sayles, Emily
Yeo, Leonard LL
Kristoffersen, Espen Saxhaug
Chamorro, Angel
Jiao, Liqun
Khatri, Pooja
Tsivgoulis, Georgios
Paciaroni, Maurizio
Zini, Andrea
author_facet Romoli, Michele
Eusebi, Paolo
Forlivesi, Stefano
Gentile, Mauro
Giammello, Fabrizio
Piccolo, Laura
Giannandrea, David
Vidale, Simone
Longoni, Marco
Paolucci, Matteo
Hsiao, Jessica
Sayles, Emily
Yeo, Leonard LL
Kristoffersen, Espen Saxhaug
Chamorro, Angel
Jiao, Liqun
Khatri, Pooja
Tsivgoulis, Georgios
Paciaroni, Maurizio
Zini, Andrea
author_sort Romoli, Michele
collection PubMed
description BACKGROUND: The effect of the COVID pandemic on stroke network performance is unclear, particularly with consideration of drip&ship vs. mothership models. AIMS: We systematically reviewed and meta-analyzed variations in stroke admissions, rate and timing of reperfusion treatments during the first wave COVID pandemic vs. the pre-pandemic timeframe depending on stroke network model adopted. SUMMARY OF FINDINGS: The systematic review followed registered protocol (PROSPERO-CRD42020211535), PRISMA and MOOSE guidelines. We searched MEDLINE, EMBASE, and CENTRAL until 9 October 2020 for studies reporting variations in ischemic stroke admissions, treatment rates, and timing in COVID (first wave) vs. control-period. Primary outcome was the weekly admission incidence rate ratio (IRR = admissions during COVID-period/admissions during control-period). Secondary outcomes were (i) changes in rate of reperfusion treatments and (ii) time metrics for pre- and in-hospital phase. Data were pooled using random-effects models, comparing mothership vs. drip&ship model. Overall, 29 studies were included in quantitative synthesis (n = 212,960). COVID-period was associated with a significant reduction in stroke admission rates (IRR = 0.69, 95%CI = 0.61–0.79), with higher relative presentation of large vessel occlusion (risk ratio (RR) = 1.62, 95% confidence interval (CI) = 1.24–2.12). Proportions of patients treated with endovascular treatment increased (RR = 1.14, 95%CI = 1.02–1.28). Intravenous thrombolysis decreased overall (IRR = 0.72, 95%CI = 0.54–0.96) but not in the mothership model (IRR = 0.81, 95%CI = 0.43–1.52). Onset-to-door time was longer for the drip&ship in COVID-period compared to the control-period (+32 min, 95%CI = 0–64). Door-to-scan was longer in COVID-period (+5 min, 95%CI = 2–7). Door-to-needle and door-to-groin were similar in COVID-period and control-period. CONCLUSIONS: Despite a 35% drop in stroke admissions during the first pandemic wave, proportions of patients receiving reperfusion and time-metrics were not inferior to control-period. Mothership preserved the weekly rate of intravenous thrombolysis and the onset-to-door timing to pre-pandemic standards.
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spelling pubmed-85213562021-10-19 Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models Romoli, Michele Eusebi, Paolo Forlivesi, Stefano Gentile, Mauro Giammello, Fabrizio Piccolo, Laura Giannandrea, David Vidale, Simone Longoni, Marco Paolucci, Matteo Hsiao, Jessica Sayles, Emily Yeo, Leonard LL Kristoffersen, Espen Saxhaug Chamorro, Angel Jiao, Liqun Khatri, Pooja Tsivgoulis, Georgios Paciaroni, Maurizio Zini, Andrea Int J Stroke Review BACKGROUND: The effect of the COVID pandemic on stroke network performance is unclear, particularly with consideration of drip&ship vs. mothership models. AIMS: We systematically reviewed and meta-analyzed variations in stroke admissions, rate and timing of reperfusion treatments during the first wave COVID pandemic vs. the pre-pandemic timeframe depending on stroke network model adopted. SUMMARY OF FINDINGS: The systematic review followed registered protocol (PROSPERO-CRD42020211535), PRISMA and MOOSE guidelines. We searched MEDLINE, EMBASE, and CENTRAL until 9 October 2020 for studies reporting variations in ischemic stroke admissions, treatment rates, and timing in COVID (first wave) vs. control-period. Primary outcome was the weekly admission incidence rate ratio (IRR = admissions during COVID-period/admissions during control-period). Secondary outcomes were (i) changes in rate of reperfusion treatments and (ii) time metrics for pre- and in-hospital phase. Data were pooled using random-effects models, comparing mothership vs. drip&ship model. Overall, 29 studies were included in quantitative synthesis (n = 212,960). COVID-period was associated with a significant reduction in stroke admission rates (IRR = 0.69, 95%CI = 0.61–0.79), with higher relative presentation of large vessel occlusion (risk ratio (RR) = 1.62, 95% confidence interval (CI) = 1.24–2.12). Proportions of patients treated with endovascular treatment increased (RR = 1.14, 95%CI = 1.02–1.28). Intravenous thrombolysis decreased overall (IRR = 0.72, 95%CI = 0.54–0.96) but not in the mothership model (IRR = 0.81, 95%CI = 0.43–1.52). Onset-to-door time was longer for the drip&ship in COVID-period compared to the control-period (+32 min, 95%CI = 0–64). Door-to-scan was longer in COVID-period (+5 min, 95%CI = 2–7). Door-to-needle and door-to-groin were similar in COVID-period and control-period. CONCLUSIONS: Despite a 35% drop in stroke admissions during the first pandemic wave, proportions of patients receiving reperfusion and time-metrics were not inferior to control-period. Mothership preserved the weekly rate of intravenous thrombolysis and the onset-to-door timing to pre-pandemic standards. SAGE Publications 2021-08-28 2021-10 /pmc/articles/PMC8521356/ /pubmed/34427480 http://dx.doi.org/10.1177/17474930211041202 Text en © 2021 World Stroke Organization https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Romoli, Michele
Eusebi, Paolo
Forlivesi, Stefano
Gentile, Mauro
Giammello, Fabrizio
Piccolo, Laura
Giannandrea, David
Vidale, Simone
Longoni, Marco
Paolucci, Matteo
Hsiao, Jessica
Sayles, Emily
Yeo, Leonard LL
Kristoffersen, Espen Saxhaug
Chamorro, Angel
Jiao, Liqun
Khatri, Pooja
Tsivgoulis, Georgios
Paciaroni, Maurizio
Zini, Andrea
Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_full Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_fullStr Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_full_unstemmed Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_short Stroke network performance during the first COVID-19 pandemic stage: A meta-analysis based on stroke network models
title_sort stroke network performance during the first covid-19 pandemic stage: a meta-analysis based on stroke network models
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521356/
https://www.ncbi.nlm.nih.gov/pubmed/34427480
http://dx.doi.org/10.1177/17474930211041202
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