Household income is associated with functional outcomes in a multi-institutional cohort of patients with ischemic stroke and COVID-19.

OBJECTIVES: The COVID-19 pandemic has heightened awareness of health disparities associated with socioeconomic status (SES) across the United States. We examined whether household income is associated with functional outcomes after stroke and COVID-19. MATERIALS AND METHODS: This was a multi-institutional, retrospective cohort study of consecutively hospitalized patients with SARS-CoV-2 and radiographically confirmed stroke presenting from March through November 2020 to any of five comprehensive stroke centers in metropolitan Chicago, Illinois, USA. Zip-code-derived household income was dichotomized at the Chicago median. Logistic regression was used to examine the relationship between household income and good functional outcome (modified Rankin Scale 0-3 at discharge, after ischemic stroke). RESULTS: Across five hospitals, 159 patients were included. Black patients comprised 48.1%, White patients 38.6%, and Hispanic patients 27.7%. Median household income was $46,938 [IQR: $32,460-63,219]. Ischemic stroke occurred in 115 (72.3%) patients (median NIHSS 7, IQR: 0.5-18.5) and hemorrhagic stroke in 37 (23.7%). When controlling for age, sex, severe COVID-19, and NIHSS, patients with ischemic stroke and household income above the Chicago median were more likely to have a good functional outcome at discharge (OR 7.53, 95% CI 1.61 - 45.73; P=0.016). Race/ethnicity were not included in final adjusted models given collinearity with income. CONCLUSIONS: In this multi-institutional study of hospitalized patients with stroke, those residing in higher SES zip codes were more likely to have better functional outcomes, despite controlling for stroke severity and COVID-19 severity. This suggests that area-based SES factors may play a role in outcomes from stroke and COVID-19.

Impact of Covid-19 on Stroke Code Activations, Process Metrics, and Diagnostic Error.

BACKGROUND AND PURPOSE: In a comprehensive stroke center, we analyzed the stroke code activations (SCA), assessed the impact of Covid-19, and the measures taken by the local government to lessen the spread of the disease. METHODS: We retrospectively reviewed SCA and classified them into 2 groups: pre-pandemic activations (February 15 to March 10) and Covid-19 pandemic activations (March 11 to April 30). The primary outcome was the ratio of true positive diagnoses of stroke relative to the total number of SCA in the 2 time periods. RESULTS: Among the 212 SCA, 83 (39.2%) were from the pre-pandemic period, whereas 129 (60.8%) were from the pandemic period, 147 (69.3%) in the Emergency Department (ED) versus 65 (30.7%) in the inpatient service. In the ED cohort, a rapid decrease in the number of SCA at the beginning of the pandemic was followed by a gradual increase to pre-pandemic levels and a significant increase in the number of true positive strokes over time (44.2% vs 61.1%, p = 0.037). An increase in door-to-CT time (p = 0.001) and an increase in the rate of diagnostic error in patients admitted from the ED (p = 0.016) were also seen. The in-hospital cohort had a sustained decrease in the number of SCA following the pandemic declaration, with no difference in the rate of true positive stroke. CONCLUSIONS: We observed a rapid decline and slow recovery in ED SCA with a shift toward increased true positive cases following the Covid-19 pandemic. Also, delays in obtaining CT and diagnostic error was increased, however, no difference in early clinical outcomes were seen between groups.