Abstract P83: Acute Stroke Presentations During the Course of the COVID-19 Pandemic

Abstract

Background: Decline in presentations of acute stroke during the early period of COVID-19 pandemic have been reported. We aimed to investigate the stroke presentations during the subsequent months as the pandemic evolved into a second wave. Methods: Data was obtained from a health system with 19 emergency departments (EDs) in northeast Ohio in the United States. Baseline period from January 1 to February 29, 2020, was compared with the individual months during COVID-19 period from March through July. Variables included were numbers of daily stroke alerts across the EDs, thrombolysis, thrombectomy, time to presentation, stroke severity, time from door-to-needle in thrombolysis, and door-to puncture in thrombectomy. The time periods were compared using nonparametric statistics and Poisson regression with month, weekend, and daily COVID cases as independent variables. Results: A total of 2264 stroke alerts from EDs were analyzed between January 1 to July 31, 2020. Total daily stroke alerts decreased from a median of 10 (interquartile range [IQR]:10-13) in January and February to 9 (IQR:6-11, p=0.001) in March, 8(IQR:7-10, p=0.0001) in April, 10 (IQR:8-11, p=0.04) in May, and returned similar to baseline in June (12, IQR:10-13, p=0.5) and July (13, IQR:11-14,p=0.1). In Poisson regression, stroke alert numbers showed no significant association with daily COVID-19 counts, but significant association with months, with rate ratios of 0.74 (95%CI 0.64-0.85) for March, 0.71 (95%CI 0.61-0.82) for April, and 0.86 (95%CI 0.75-0.98) for May, but not with June and July. Time to presentation and stroke severity were unchanged throughout the study period. Thrombolysis volume decreased in March and May but thrombectomy volume was unchanged. Conclusion: We observed a decrease in stroke presentations across emergency departments by about 30% during the early period of COVID-19 pandemic, followed by return to baseline frequency despite a second wave of COVID-19 cases.