Advocacy on social media is not without risks. In a survey conducted before the COVID-19 pandemic, 23.3% of physicians reported personal attacks on social media, primarily for public health advocacy on topics including firearms, vaccinations, and abortion access.¹ While the Surgeon General² encourages physicians and scientists to use social media to address misinformation,³ concerns for harassment remain.^4-6

BACKGROUND: Disparities in time to hospital presentation and prehospital stroke care may be important drivers in inequities in acute stroke treatment rates, functional outcomes, and mortality. It is unknown how patient-level factors, such as race and ethnicity and county-level socioeconomic status, affect these aspects of prehospital stroke care. METHODS: Cross-sectional study of patients with ischemic stroke, intracerebral hemorrhage, and subarachnoid hemorrhage in the Get With the Guidelines-Stroke registry, presenting from July 2015 to December 2019, with symptom onset ≤24 hours. Multivariable logistic regression and quantile regression were used to investigate the outcomes of interest: emergency medical services (EMS) transport (versus private vehicle), EMS prehospital notification (versus no prehospital notification), and stroke symptom onset to time of arrival at the emergency department. Prespecified covariates included patient-level, hospital-level, and county-level characteristics. RESULTS: The inclusion criteria was met by the 606 369 patients. Of the patients, 51.2% were men and 69.9% White, with a median National Institutes of Health Stroke Severity of 4 (IQR, 2–10), and median social deprivation index (SDI) of 51 (IQR, 27–75). Median symptom onset to arrival time was 176 minutes (IQR, 64–565). Black race was significantly associated with prolonged symptom onset to emergency department arrival time (+28.21 minutes [95% CI, 25.59–30.84]), and decreased odds of EMS prehospital notification (OR, 0.80 [95% CI, 0.78–0.82]). SDI was not associated with differences in EMS use but was associated with lower odds of EMS prehospital notification (upper SDI tercile versus lowest, OR, 0.79 [95% CI, 0.78–0.81]). SDI was also significantly associated with stroke symptom onset to emergency department arrival time (upper SDI tercile versus lowest +2.56 minutes [95% CI, 0.58–4.53]). CONCLUSIONS: In this national cross-sectional study, Black race was associated with prolonged symptom onset to time of arrival intervals and significantly decreased odds of EMS prehospital notification, despite similar use of EMS transport. Greater county-level deprivation was also associated with reduced odds of EMS prehospital notification and slightly prolonged stroke symptom onset to emergency department arrival time. Efforts to reduce place-based disparities in stroke care must address significant inequities in prehospital care of acute stroke and continue to address health inequities associated with race and ethnicity.

Social media is an important tool for disseminating accurate medical information and combating misinformation (ie, the spreading of false or inaccurate information) and disinformation (ie, spreading misinformation with the intent to deceive). The prolific rise of inaccurate information during a global pandemic is a pressing public health concern. In response to this phenomenon, health professional amplifiers such as IMPACT (Illinois Medical Professional Action Collaborative Team) have been created as a coordinated response to enhance public communication and advocacy around the COVID-19 pandemic.

Poverty is associated with greater stroke incidence. The relationship between poverty and stroke recurrence is less clear. In this population-based study, incident strokes within the Greater Cincinnati/Northern Kentucky region were ascertained during the 2015 study period and followed up for recurrence until December 31, 2018. The primary exposure was neighborhood socioeconomic status (nSES), defined by the percentage of households below the federal poverty line in each census tract in 4 categories (≤5%, >5%-10%, >10%-25%, >25%). Poisson regression models provided recurrence rate estimates per 100,000 residents using population data from the 2015 5-year American Community Survey, adjusting for age, sex, and race. In a secondary analysis, Cox models allowed for the inclusion of vascular risk factors in the assessment of recurrence risk by nSES among those with incident stroke. Of 2,125 patients with incident stroke, 245 had a recurrent stroke during the study period. Poorer nSES was associated with increased stroke recurrence, with rates of 12.5, 17.5, 25.4, and 29.9 per 100,000 in census tracts with ≤5%, >5%-10%, >10%-25%, and >25% below the poverty line, respectively (p < 0.01). The relative risk (95% CI) for recurrent stroke among Black vs White individuals was 2.54 (1.91-3.37) before adjusting for nSES, and 2.00 (1.47-2.74) after adjusting for nSES, a 35.1% decrease. In the secondary analysis, poorer nSES (HR 1.74, 95% CI 1.10-2.76 for lowest vs highest category) and Black race (HR 1.31, 95% CI 1.01-1.70) were both independently associated with recurrence risk, though neither retained significance after full adjustment. Age, diabetes, and left ventricular hypertrophy were associated with increased recurrence risk in fully adjusted models. Residents of poorer neighborhoods had a dose-dependent increase in stroke recurrence risk, and neighborhood poverty accounted for approximately one-third of the excess risk among Black individuals. These results highlight the importance of poverty, race, and the intersection of the 2 as potent drivers of stroke recurrence.

Stroke in patients with COVID-19 has received increasing attention throughout the global COVID-19 pandemic, perhaps due to the substantial disability and mortality that can result when the two conditions co-occur. We reviewed the existing literature and found that the proposed pathomechanism underlying COVID-19-associated ischemic stroke is broadly divided into the following three categories: vasculitis, endothelialitis, and endothelial dysfunction; hypercoagulable state; and cardioembolism secondary to cardiac dysfunction. There has been substantial debate as to whether there is a causal link between stroke and COVID-19. However, the distinct phenotype of COVID-19-associated strokes, with multivessel territory infarcts, higher proportion of large vessel occlusions, and cryptogenic stroke mechanism, that emerged in pooled analytic comparisons with non-COVID-19 strokes is compelling. Further, in this article, we review the various treatment approaches that have emerged as they relate to the proposed pathomechanisms. Finally, we briefly cover the logistical challenges, such as delays in treatment, faced by providers and health systems; the innovative approaches utilized, including the role of tele-stroke; and the future directions in COVID-19-associated stroke research and healthcare delivery.