Do elderly patients call 911 when presented with clinical scenarios suggestive of acute stroke? A cross-sectional study.

BACKGROUND AND PURPOSE: Among patients with acute stroke symptoms, delay in hospital admission is the main obstacle for the use of thrombolytic therapy and other interventions associated with decreased mortality and disability. The primary aim of this study was to assess whether an elderly clinical population correctly endorsed the response to call for emergency services when presented with signs and symptoms of stroke using a standardized questionnaire. METHODS: We performed a cross-sectional study among elderly out-patients (≥60 years) in Buenos Aires, Argentina randomly recruited from a government funded health clinic. The correct endorsement of intention to call 911 was assessed with the Stroke Action Test and the cut-off point was set at ≥75%. Knowledge of stroke and clinical and socio-demographic indicators were also collected and evaluated as predictors of correct endorsement using logistic regression. RESULTS: Among 367 elderly adults, 14% correctly endorsed intention to call 911. Presented with the most typical signs and symptoms, only 65% reported that they would call an ambulance. Amaurosis Fugax was the symptom for which was called the least (15%). On average, the correct response was chosen only 37% of the time. Compared to lower levels of education, higher levels were associated to correctly endorsed intention to call 911 (secondary School adjusted OR 3.53, 95% CI 1.59-7.86 and Tertiary/University adjusted OR 3.04, 95% CI 1.12-8.21). CONCLUSIONS: These results suggest the need to provide interventions that are specifically designed to increase awareness of potential stroke signs and symptoms and appropriate subsequent clinical actions.

Stroke risk, phenotypes, and death in COVID-19: Systematic review and newly reported cases.

OBJECTIVES: To investigate the hypothesis that strokes occurring in patients with coronavirus disease 2019 (COVID-19) have distinctive features, we investigated stroke risk, clinical phenotypes, and outcomes in this population. METHODS: We performed a systematic search resulting in 10 studies reporting stroke frequency among patients with COVID-19, which were pooled with 1 unpublished series from Canada. We applied random-effects meta-analyses to estimate the proportion of stroke among COVID-19. We performed an additional systematic search for cases series of stroke in patients with COVID-19 (n = 125), and we pooled these data with 35 unpublished cases from Canada, the United States, and Iran. We analyzed clinical characteristics and in-hospital mortality stratified into age groups (<50, 50-70, >70 years). We applied cluster analyses to identify specific clinical phenotypes and their relationship with death. RESULTS: The proportions of patients with COVID-19 with stroke (1.8%, 95% confidence interval [CI] 0.9%-3.7%) and in-hospital mortality (34.4%, 95% CI 27.2%-42.4%) were exceedingly high. Mortality was 67% lower in patients <50 years of age relative to those >70 years of age (odds ratio [OR] 0.33, 95% CI 0.12-0.94, p = 0.039). Large vessel occlusion was twice as frequent (46.9%) as previously reported and was high across all age groups, even in the absence of risk factors or comorbid conditions. A clinical phenotype characterized by older age, a higher burden of comorbid conditions, and severe COVID-19 respiratory symptoms was associated with the highest in-hospital mortality (58.6%) and a 3 times higher risk of death than the rest of the cohort (OR 3.52, 95% CI 1.53-8.09, p = 0.003). CONCLUSIONS: Stroke is relatively frequent among patients with COVID-19 and has devastating consequences across all ages. The interplay of older age, comorbid conditions, and severity of COVID-19 respiratory symptoms is associated with an extremely elevated mortality.