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ObjectiveTo identify the clinical profile and aura characteristics of patients with Migraine with Aura (MwA) having acute cerebral ischemia, we compared stroke phenotype and risk factors in stroke patients with (S+MwA+) or without (S+MwA−) MwA and aura features in MwA patients with (S+MwA+) or without (S−MwA+) stroke.MethodsIn this retrospective multicenter case–control study, we reviewed stroke phenotypes and vascular risk factors in S+MwA+ and S+MwA− patients younger than 60 years and risk factors and aura type, duration, onset age, and the frequency in the previous year in S+MwA+ patients and S−MwA+ subjects matched for age and disease history, investigated for patent foramen ovale (PFO).Results539 stroke (7.7% S+MwA+) and 94 S−MwA + patients were enrolled. S+MwA+ patients were younger (p =.0.004) and more frequently presented PFO [OR 4.89 (95% CI 2.12–11.27)], septal interatrial aneurism [OR 2.69 (95% CI 1.15–6.27)] and cryptogenic ischemic stroke (CIS) [OR 6.80 (95% CI 3.26–14.18)] than S+MwA− subjects. Significant atherosclerosis was not detected in S+MwA+ patients. Compared to S−MwA+, S+MwA+ patients were characterized by visual [OR 3.82 (95% CI 1.36–10.66)] and shorter-lasting (20.0 min IQr 13.1 vs 30.0 min IQr 25.0; p < 0.001) aura, and PFO [OR 1.26 (95% CI 1.03–1.54)]. Regression analysis evidenced that only shorter aura duration associated with stroke (p = 0.001). High-risk PFO was equally represented in S+MwA−, S+MwA+, S−MwA+ groups.ConclusionsShorter visual aura and CIS characterize MwA patients with stroke. Although more prevalent, PFO can not be considered the main responsible for the increased stroke risk in MwA patients but as a part of a complex multifactorial condition.

•Significant correlation between older age and location in basal ganglia.•Larger lacunar strokes are more severe.•Older age correlates with smaller and regular lesions. We evaluated a prospective cohort of 150 patients under observation in our centre for lacunar strokes. The purpose of this study was to investigate if lacunar stroke of varying size, shape and locations had different risk factors between them and possibly different mechanisms and causes. 150 patients with a lacunar stroke were included in the present study. Infarcts were classified by size, shape and location. We evaluated the correlation between several risk factors of stroke and the radiological characteristics of the infarcts. Older age was associated with the presence of a basal ganglia lesion (p < 0.001) and with the presence of a smaller lesion (trend to statistical significance, p = 0.07). Patients with infarcts >15 mm had higher NIHSS score at admission (p 0.01). The different subtypes of lacunar infarcts have distinct pathogenesis. Further studies, with a larger numbers of patients, are necessary to confirm our data.

Whether and how SARS-CoV-2 outbreak affected in-hospital acute stroke care system is still matter of debate. In the setting of the STROKOVID network, a collaborative project between the ten centers designed as hubs for the treatment of acute stroke during SARS-CoV-2 outbreak in Lombardy, Italy, we retrospectively compared clinical features and process measures of patients with confirmed infection (COVID-19) and non-infected patients (non-COVID-19) who underwent reperfusion therapies for acute ischemic stroke. Between March 8 and April 30, 2020, 296 consecutive patients [median age, 74 years (interquartile range (IQR), 62–80.75); males, 154 (52.0%); 34 (11.5%) COVID-19] qualified for the analysis. Time from symptoms onset to treatment was longer in the COVID-19 group [230 (IQR 200.5–270) minutes vs. 190 (IQR 150–245) minutes; p = 0.007], especially in the first half of the study period. Patients with COVID-19 who underwent endovascular thrombectomy had more frequently absent collaterals or collaterals filling ≤ 50% of the occluded territory (50.0% vs. 16.6%; OR 5.05; 95% CI 1.82–13.80) and a lower rate of good/complete recanalization of the primary arterial occlusive lesion (55.6% vs. 81.0%; OR 0.29; 95% CI 0.10–0.80). Post-procedural intracranial hemorrhages were more frequent (35.3% vs. 19.5%; OR 2.24; 95% CI 1.04–4.83) and outcome was worse among COVID-19 patients (in-hospital death, 38.2% vs. 8.8%; OR 6.43; 95% CI 2.85–14.50). Our findings showed longer delays in the intra-hospital management of acute ischemic stroke in COVID-19 patients, especially in the early phase of the outbreak, that likely impacted patients outcome and should be the target of future interventions.

ObjectiveTo characterize patients with acute ischemic stroke related to SARS-CoV-2 infection and assess the classification performance of clinical and laboratory parameters in predicting in-hospital outcome of these patients.MethodsIn the setting of the STROKOVID study including patients with acute ischemic stroke consecutively admitted to the ten hub hospitals in Lombardy, Italy, between March 8 and April 30, 2020, we compared clinical features of patients with confirmed infection and non-infected patients by logistic regression models and survival analysis. Then, we trained and tested a random forest (RF) binary classifier for the prediction of in-hospital death among patients with COVID-19.ResultsAmong 1013 patients, 160 (15.8%) had SARS-CoV-2 infection. Male sex (OR 1.53; 95% CI 1.06–2.27) and atrial fibrillation (OR 1.60; 95% CI 1.05–2.43) were independently associated with COVID-19 status. Patients with COVID-19 had increased stroke severity at admission [median NIHSS score, 9 (25th to75th percentile, 13) vs 6 (25th to75th percentile, 9)] and increased risk of in-hospital death (38.1% deaths vs 7.2%; HR 3.30; 95% CI 2.17–5.02). The RF model based on six clinical and laboratory parameters exhibited high cross-validated classification accuracy (0.86) and precision (0.87), good recall (0.72) and F1-score (0.79) in predicting in-hospital death.ConclusionsIschemic strokes in COVID-19 patients have distinctive risk factor profile and etiology, increased clinical severity and higher in-hospital mortality rate compared to non-COVID-19 patients. A simple model based on clinical and routine laboratory parameters may be useful in identifying ischemic stroke patients with SARS-CoV-2 infection who are unlikely to survive the acute phase.