Background and Purpose: Coronavirus disease 2019 (COVID-19) has been associated with an increased incidence of thrombotic events, including stroke. However, characteristics and outcomes of COVID-19 patients with stroke are not well known. Methods: We conducted a retrospective observational study of risk factors, stroke characteristics, and short-term outcomes in a large health system in New York City. We included consecutively admitted patients with acute cerebrovascular events from March 1, 2020 through April 30, 2020. Data were stratified by COVID-19 status, and demographic variables, medical comorbidities, stroke characteristics, imaging results, and in-hospital outcomes were examined. Among COVID-19-positive patients, we also summarized laboratory test results. Results: Of 277 patients with stroke, 105 (38.0%) were COVID-19-positive. Compared with COVID-19-negative patients, COVID-19-positive patients were more likely to have a cryptogenic (51.8% versus 22.3%, P <0.0001) stroke cause and were more likely to suffer ischemic stroke in the temporal ( P =0.02), parietal ( P =0.002), occipital ( P =0.002), and cerebellar ( P =0.028) regions. In COVID-19-positive patients, mean coagulation markers were slightly elevated (prothrombin time 15.4±3.6 seconds, partial thromboplastin time 38.6±24.5 seconds, and international normalized ratio 1.4±1.3). Outcomes were worse among COVID-19-positive patients, including longer length of stay ( P <0.0001), greater percentage requiring intensive care unit care ( P =0.017), and greater rate of neurological worsening during admission ( P <0.0001); additionally, more COVID-19-positive patients suffered in-hospital death (33% versus 12.9%, P <0.0001). Conclusions: Baseline characteristics in patients with stroke were similar comparing those with and without COVID-19. However, COVID-19-positive patients were more likely to experience stroke in a lobar location, more commonly had a cryptogenic cause, and had worse outcomes.

Prior to COVID-19, only two human-tropic coronaviruses resulted in epidemics and cerebrovascular disease was rarely reported. Evidence now suggests that 1–6% of hospitalized COVID-19 patients develop stroke. According to some reports, stroke risk is more than sevenfold greater in patients with COVID-19 than influenza. Concerningly, outcomes of COVID-19-related stroke are often worse than in stroke patients without COVID-19 from the same cohorts. In this review, we highlight the emerging association between COVID-19 and stroke and discuss putative pathogenetic mechanisms. Etiology of stroke in COVID-19 patients is likely multifactorial, related to coagulopathy, inflammation, platelet activation, and alterations to the vascular endothelium. Significant work remains to be done to better understand the pathogenesis of COVID-19-related stroke and for designing optimal primary and secondary prevention strategies.

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Objective:We sought to comprehensively evaluate predictors of PSD in the US and compare PSD to post-myocardial infarction (MI) depression, in order to determine whether ischemic stroke (IS) uniquely elevates risk of depression.Methods:This is a retrospective cohort study of 100% de-identified inpatient, outpatient, and subacute nursing Medicare data from 2016-2017 for US patients aged ≥65 years from July 1, 2016 to December 31, 2017. We calculated Kaplan-Meier unadjusted cumulative risk of depression up to 1.5 years following index admission. We performed Cox regression to report the hazard ratio for diagnosis of depression up to 1.5 years post-stroke vs. MI, and independent predictors of PSD, and controlled for patient demographics, comorbidities, length of stay and acute stroke interventions.Results:In fully adjusted models, stroke patients (n=174,901) were ∼50% more likely than MI patients (n=193,418) to develop depression during the 1.5-year follow-up period (Kaplan-Meier cumulative risk 0.1596±0.001 in stroke patients versus 0.0973±0.000778 in MI patients, log-rank p<0.0001). History of anxiety was the strongest predictor of PSD, while discharge home was most protective. Female patients, White patients, and patients younger than 75 years were more likely to be diagnosed with depression post-stroke.Conclusions:Despite the similarities between MI and stroke, patients who suffer from stroke were significantly more likely to develop depression. There were several predictors of post-stroke depression, most significantly history of anxiety. Our findings lend credibility to a stroke-specific process causing depression and highlight the need for consistent depression screening in all stroke patients.

Introduction: Post-stroke depression (PSD) occurs in approximately one-third of ischemic stroke patients. However, there is conflicting evidence on sex differences in PSD. Objective: We sought to assess sex differences in risk and time course of PSD in US ischemic stroke (IS) patients. We hypothesized that women are at greater risk of PSD than men, and that a greater proportion of women experience PSD in the acute post-stroke phase. Methods: Retrospective cohort study of 100% de-identified data for US Medicare beneficiaries ≥65 years admitted for ischemic stroke from July 1, 2016 to December 31, 2017. We calculated Kaplan-Meier unadjusted cumulative risk of depression, stratified by sex, up to 1.5 years following index admission. We performed Cox regression to report the hazard ratio (HR) for diagnosis of depression up to 1.5 years post-stroke in males vs. females, adjusting for patient demographics, comorbidities, length of stay, and acute stroke interventions. Results: Female stroke patients (n=90,474) were 20% more likely to develop PSD than males (n=84,427) in adjusted models. Cumulative risk of depression was consistently elevated for females throughout 1.5 years of follow-up (0.2055 [95% CI 0.2013-0.2097] vs. 0.1690 [95% CI 0.1639-0.1741] (log-rank p<0.0001). HR for PSD in females vs. males remained significant in fully adjusted analysis at 1.20 (95% CI 1.17-1.23, p<0.0001). Conclusions: Over 1.5 years of follow-up, female stroke patients had significantly greater hazard of developing PSD, highlighting the need for long-term depression screening in this population and further investigation of underlying reasons for sex differences.