Background. Age is one of the most important risk factors for stroke, and an estimated 75% of strokes occur in people 65 years old and above. Adults > 75 years of age experience more hospitalizations and higher mortality. In this study, we aimed to investigate how age and various clinical risk factors affect acute ischemic stroke (AIS) severity in two age categories. Methods. This retrospective data analysis study was conducted using data collected from the PRISMA Health Stroke Registry between June 2010 and July 2016. Baseline clinical and demographic data were analyzed for 65–74-year-old patients and those ≥ 75 years of age. This study aimed to investigate risk factors associated with stroke severity in these two age categories of AIS patients treated in telestroke settings. Results. An adjusted multivariate analysis showed that the acute ischemic stroke (AIS) population of 65–74-year-old patients experiencing heart failure (odds ratio (OR) = 4.398, 95% CI = 3.912–494.613, p = 0.002) and elevated high-density lipoprotein (HDL) levels (OR = 1.066, 95% CI = 1.009–1.126, p = 0.024) trended towards worsening neurological function, while patients experiencing obesity (OR = 0.177, 95% CI = 0.041–0.760, p = 0.020) exhibited improved neurological functions. For the patients ≥ 75 years of age, direct admission (OR = 0.270, 95% CI = 0.085–0.856, p = 0.026) was associated with improved functions. Conclusions. Heart failure and elevated HDL levels were significantly associated with worsening neurologic functions in patients aged 65–74. Obese patients and individuals ≥ 75 years of age who were directly admitted were most likely to exhibit improving neurological functions.

The implementation of an integrated medical neuroscience course by technologically pivoting an in‐person neuroscience course to online using an adaptive blended method may provide a unique approach for teaching a medical neuroscience course during the Covid‐19 pandemic. An adaptive blended learning method was developed in response to the requirements necessitated by the Covid‐19 pandemic. This model combined pedagogical needs with digital technology using online learning activities to implement student learning in a medical neuroscience course for year one medical students. This approach provided medical students with an individually customized learning opportunity in medical neuroscience. The students had the complete choice to engage the learning system synchronously or asynchronously and learn neuroscience materials at different locations and times in response to the demands required to deal with the pandemic. Students' performance in summative and formative examinations of the adaptive blended learning activities were compared with the previous performance obtained the previous year when the contents of the medical neuroscience course were implemented using the conventional “face‐to‐face” learning approach. While the cohort of our students in 2019 and 2020 changed, the contents, sessions, volume of material, and assessment were constant. This enabled us to compare the results of the 2019 and 2020 classes. Overall, students' performance was not significantly different between the adaptive blended learning and the in‐person approach. More students scored between 70% and 79% during the adaptive blended learning compared with in‐class teaching, while more students scored between 80% and 89% during the in‐person learning than during the adaptive blended learning. Finally, the percentage of students that scored >90% was not significantly different for both Years 2019 and 2020. The adaptive blended learning approach was effective in enhancing academic performance for high‐performing medical students. It also permitted the early identification of underachieving students, thereby serving as an early warning sign to permit timely intervention.

Background: The objective of this study was to characterize the comorbidities in a population of patients with an acute ischaemic stroke, comparing patients that received recombinant tissue plasminogen activator (rt-PA) to those that did not receive rt-PA. Method: In a retrospective sample of 663 patients admitted for acute ischaemic stroke, this study analysed the effects of co-morbid conditions in the use of rt-PA. It determined non-cerebrovascular risk factors (comorbidities) that differentiate patients who received rt-PA from those who did not receive rt-PA. Result: Patients with a history of carotid stenosis, CHF and previous strokes are significantly (p < 0.05) associated with high risk of not receiving rt-PA. A significant number of patients with a history of hypertension and smoking received rt-PA (p < 0.05). Conclusion: The findings indicate that certain risk factors including carotid stenosis, CHF and previous stroke history impact the treatment of patients with acute ischaemic stroke, specifically the decision to administer rt-PA. Treatment with rt-PA is dependent on stroke severity and onset to treatment time, but the findings suggest that rt-PA use may also depend on patient comorbidities.