Epidemiological and Treatment Trends for Acute Ischemic Stroke Preceding and during the COVID-19 Pandemic

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic heralded a number of indirect perturbations to patient behavior and disease epidemiology, and mounting evidence suggests that the COVID-19 pandemic may have exacerbated underlying health disparities along racial and socioeconomic (SES) groups for acute ischemic stroke (AIS). We used 1 large national insurance database to identify whether patient demographics, disease severity, or mechanical thrombectomy (MT) rates changed for the treatment and management of AIS during COVID-19. METHODS: AIS patient records were queried from the Clinformatics® Data Mart Optum SES Database from the following 2 time periods: March 1, 2019-June 30, 2019 (pre-COVID-19), and March 1, 2020–June 30, 2020 (COVID-19). The database contains the longitudinal healthcare claims of approximately 77 million patients covered by a major insurance provider between 2003 and June 30, 2020 across all 50 states. Interrupted time-series analyses were used to assess trend differences before and after the COVID-19 pandemic. RESULTS: During the pre-COVID-19 period (March 1, 2019-June 30, 2019), there were 9,072 patients who presented for AIS, compared to 7,366 during COVID-19 (March 1, 2020-June 30, 2020). In both periods, the majority of patients were white (66.83% pre-COVID-19 and 67.91% during COVID-19). The average hospitalization duration was not different during the 2 time periods (p = 0.632), nor were rates of MT (p = 0.260). Total inpatient costs rose slightly for the COVID-19 period (USD 30,739 vs. USD 29,406; p = 0.015), and the median National Institutes of Health Stroke Scale (NIHSS) score was higher during CO­VID-19 (5 vs. 4; p = 0.023). When longitudinal trends were assessed for rates of MT and average NIHSS score for black and white patients, no differences were noted during the CO­VID-19 pandemic. Patients without any undergraduate experience did not present with AIS in increasing or decreasing incidence during COVID-19 (p = 0.268), but they did undergo declining rates of MT (p = 0.013). CONCLUSIONS: In the largest SES analysis of AIS patients during the COVID-19 era, we found that several SES factors, including race and income, did not seem to significantly impact utilization of MT for the treatment of AIS or the severity of the stroke at presentation.