Neighborhood Socioeconomic Status and Mechanical Thrombectomy Outcomes

Abstract

Background/PurposeOur study aimed to assess the impacts of neighborhood socioeconomic status on mechanical thrombectomy (MT) outcomes for acute ischemic stroke (AIS). MethodsWe conducted a prospective observational study of consecutive adult AIS patients treated with MT at one US comprehensive stroke center from 2012 to 2018. A composite neighborhood socioeconomic score (nSES) was created using patient home address, median household income, percentage of households with interest, dividend, or rental income, median value of housing units, percentage of persons 25 or older with high school degrees, college degrees or holding executive, managerial or professional specialty occupations. Using this score, patients were divided into low, middle and high nSES tertiles. Outcomes included 90-day functional independence, in-hospital mortality, length of hospital stay, discharge location, time to recanalization, successful recanalization, and symptomatic intracranial hemorrhage (sICH). Results328 patients were included. Between the three nSES groups, proportion of White patients, time-to-recanalization and admission NIH stroke scale differed significantly (p<0.05). Patients in the high nSES tertile were more likely to be functionally dependent at 90 days (unadjusted OR, 95% CI, 1.91 [1.10, 3.36]) and were less likely to die in the hospital (unadjusted OR, 95% CI, 0.46, [0.20, 0.98]). Further, patients in the high nSES tertile had decreased times to recanalization (median time in minutes, low=335, mid=368, high=297, p=0.04). However, after adjusting for variance in race and severity of stroke, the differences in clinical outcomes were not significant. ConclusionThis study highlights how unadjusted neighborhood socioeconomic status is significantly associated with functional outcome, mortality, and time-to-recanalization following MT for AIS. Since adjustment modifies the significant association, the socioeconomic differences may be influenced by differences in pre-hospital factors that drive severity of stroke and time to recanalization. Better understanding of the interplay of these factors may lead to timelier evaluation and improvement in patient outcomes.