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Effects of the COVID-19 pandemic on stroke response times: a systematic review and meta-analysis.
Nawabi, Noah L A; Duey, Akiro H; Kilgallon, John L; Jessurun, Charissa; Doucette, Joanne; Mekary, Rania A; Aziz-Sultan, Mohammad Ali.
  • Nawabi NLA; Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA nnawabi@bwh.harvard.edu.
  • Duey AH; Department of Neurosurgery, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Kilgallon JL; Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Jessurun C; Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Doucette J; Department of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Mekary RA; Computational Neuroscience Outcomes Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Aziz-Sultan MA; Department of Neurosurgery, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands.
J Neurointerv Surg ; 14(7): 642-649, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1779409
ABSTRACT

OBJECTIVES:

COVID-19 presents a risk for delays to stroke treatment. We examined how COVID-19 affected stroke response times.

METHODS:

A literature search was conducted to identify articles covering stroke during COVID-19 that included time metrics data pre- and post-pandemic. For each outcome, pooled relative change from baseline and 95% CI were calculated using random-effects models. Heterogeneity was explored through subgroup analyses comparing comprehensive stroke centers (CSCs) to non-CSCs.

RESULTS:

38 included studies reported on 6109 patients during COVID-19 and 14 637 patients during the pre-COVID period. Pooled increases of 20.9% (95% CI 5.8% to 36.1%) in last-known-well (LKW) to arrival times, 1.2% (-2.9% to 5.3%) in door-to-imaging (DTI), 0.8% (-2.9% to 4.5%) in door-to-needle (DTN), 2.8% (-5.0% to 10.6%) in door-to-groin (DTG), and 19.7% (11.1% to 28.2%) in door-to-reperfusion (DTR) times were observed during COVID-19. At CSCs, LKW increased by 24.0% (-0.3% to 48.2%), DTI increased by 1.6% (-3.0% to 6.1%), DTN increased by 3.6% (1.2% to 6.0%), DTG increased by 4.6% (-5.9% to 15.1%), and DTR increased by 21.2% (12.3% to 30.1%). At non-CSCs, LKW increased by 12.4% (-1.0% to 25.7%), DTI increased by 0.2% (-2.0% to 2.4%), DTN decreased by -4.6% (-11.9% to 2.7%), DTG decreased by -0.6% (-8.3% to 7.1%), and DTR increased by 0.5% (-31.0% to 32.0%). The increases during COVID-19 in LKW (p=0.01) and DTR (p=0.00) were statistically significant, as was the difference in DTN delays between CSCs and non-CSCs (p=0.04).

CONCLUSIONS:

Factors during COVID-19 resulted in significantly delayed LKW and DTR, and mild delays in DTI, DTN, and DTG. CSCs experience more pronounced delays than non-CSCs.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Stroke / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Neurointerv Surg Year: 2022 Document Type: Article Affiliation country: Neurintsurg-2021-018230

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Stroke / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: J Neurointerv Surg Year: 2022 Document Type: Article Affiliation country: Neurintsurg-2021-018230