Background and Purpose: We aimed to investigate the acute stroke presentations during the coronavirus disease 2019 (COVID-19) pandemic. Methods: The data were obtained from a health system with 19 emergency departments in northeast Ohio in the United States. Baseline period from January 1 to March 8, 2020, was compared with the COVID period from March 9, to April 2, 2020. The variables included were total daily stroke alerts across the hospital emergency departments, thrombolysis, time to presentation, stroke severity, time from door-to-imaging, time from door-to-needle in thrombolysis, and time from door-to-puncture in thrombectomy. The 2 time periods were compared using nonparametric statistics and Poisson regression. Results: Nine hundred two stroke alerts during the period across the emergency departments were analyzed. Total daily stroke alerts decreased from median, 10 (interquartile range, 8–13) during baseline period to median, 8 (interquartile range, 4–10, P =0.001) during COVID period. Time to presentation, stroke severity, and time to treatment were unchanged. COVID period was associated with decrease in stroke alerts with rate ratio of 0.70 (95% CI, 0.60–0.28). Thrombolysis also decreased with rate ratio, 0.52 (95% CI, 0.28–0.97) but thrombectomy remained unchanged rate ratio, 0.93 (95% CI, 0.52–1.62) Conclusions: We observed a significant decrease in acute stroke presentations by ≈30% across emergency departments at the time of surge of COVID-19 cases. This observation could be attributed to true decline in stroke incidence or patients not seeking medical attention for emergencies during the pandemic.
Background: The switch from alteplase to tenecteplase as a thrombolytic in acute ischemic stroke has been reported to be associated with faster door-to-needle (DTN) times. We aimed to study the effect of the early transitional experience after tenecteplase switch on DTN across different hospital types. Methods: We retrospectively analyzed prospectively collected data of patients that underwent thrombolysis at 7 free-standing emergency departments (FSEDs), 8 primary stroke centers (PSC), 3 thrombectomy-capable stroke centers (TSC), and a comprehensive stroke center (CSC) in a large healthcare system. The distributions of DTN time before (January 2021-January 2022) and after (January 2022-June 2022) tenecteplase implementation were compared. The Mann-Whitney test was used to compare door-to-needle time differences between alteplase and tenecteplase treatment groups. Results: Alteplase was given to 318 patients with a median DTN of 40 minutes (interquartile range [IQR]: 27;57) and 154 received tenecteplase with a median DTN of 46 minutes (IQR: 33;63). Patients in the two groups had similar demographic characteristics, NIH Stroke Scale scores, and patient distribution across hospital types. Among tenecteplase-treated patients, 68 (44%) were from FSEDs and PSCs, 67 (44%) were from TSCs, and 19 (12%) were from CSCs. The median DTN time at FSEDs and PSCs increased from 39 (IQR: 27;55) to 56 minutes (IQR: 41;72) after tenecteplase implementation (P<0.0001). At the TSCs the median DTN was 40 minutes (IQR: 29;55) and did not change after the switch to tenecteplase (P=0.31). The median DTN at CSC in the alteplase group was 41 minutes (IQR: 26;72) and 33 minutes (IQR:20;45) in the tenecteplase group (P=0.06). Conclusion: For the first 6 months of tenecteplase implementation the DTN time increased at FSEDs and PSCs but remained unchanged in higher volume centers.
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.
Background: Understanding the factors impacting recovery after stroke is a critical step in developing interventions to optimize stroke outcomes. Previous work from Ohio Coverdell Program suggested that race may be independently associated with reduced odds of improvement in the first 30 days after stroke. Purpose: To determine if race, household income, and insurance status are independently associated with improvement in disability in the first 90 days after hospital discharge in patients admitted to comprehensive stroke centers (CSC) who received acute intervention. Methods: Retrospective cohort study of patients entered into the GWTG-Stroke from 7 Ohio Coverdell CSCs from 1/1/2015 to 7/16/2018 who received IV tPA and/or acute catheter-based intervention and had a mRS score at discharge and 90 days. Multivariable linear regression was performed to examine the association of race, household income estimated by ZIP code, and insurance on improvement in mRS between discharge and 90 days after adjusting for discharge mRS, clinical characteristics and hospital management. Results: There were 1,140 patients in the cohort who had mean age 66.7 yrs (SD 15.0). Estimated median income was $51,190 (SD $18,050); 18.3% were nonwhite. Of the socioeconomic variables assessed, only Medicaid insurance was associated with less recovery in the first 90 days post-discharge (β = -0.40; 95% CI -0.67, -0.14).Other variables associated with recovery were discharge mRS, hospital, premorbid ambulatory status, admission NIHSS, discharge destination, and length of stay. (see Table) Conclusion: Race and household income were not associated with recovery in the first 90 days post-discharge in stroke patients admitted to CSCs receiving acute interventions. Patients with Medicaid insurance had reduced probability of improvement. Further evaluation is indicated to determine if the worse recovery in Medicaid patients is due to socioeconomic status or premorbid health status.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.