Lin, Michelle

Objectives: Cerebral autosomal-dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is inherited microangiopathy characterized by recurrent subcortical infarcts. A majority of those with CADASIL report coexistent migraine with aura. The authors aim to quantitatively describe migraine-related disability within a CADASIL cohort. Methods: A cross-sectional analysis was performed in a cohort of CADASIL. The Migraine Disability Assessment (MIDAS) quantified migraine-related disability. Further metrics obtained include first and last migraine, aura semiology, and therapeutic measures. Results: Twenty-four individuals were included [63% (15/24) female individuals; mean age, 56 y; range, 34 to 81 y]. Fifty-four percent (13/24) reported migraine, whereas 46% (11/24) reporting varying degrees of migraine-related disability. MIDAS Questionnaire scores appeared bimodal: 58% (14/24) scored 0 to 5, 7% (1/24) scored 6 to 10, 7% (1/24) scored 11 to 20 and 33% (8/24) scored over 20. Severe disability was associated with the multiplicity of aura semiologies and poor response to pharmacologic prophylaxis. Conclusions: A bimodal distribution of migraine-related disability was observed. A third of individuals had a severe disability and appeared medically refractory to medical migraine prophylactic measures. This study may serve as a reference point for future trials quantitatively gauging response of novel migraine treatment strategies within this unique population.

Introduction: Cerebral small-vessel disease (SVD) is associated with increased stroke risk and poor stroke outcomes. We aimed to evaluate if chronic SVD burden is associated with poor recruitment of collaterals in large-vessel occlusive stroke. Methods: Consecutive patients with MCA±ICA occlusion presenting within 6 hours after stroke symptoms onset from 2012- 2016 were included. Primary outcome was collateral flow, which was assessed on baseline CT-angiogram (poor ≤50% filling, good >50% filling). Markers of chronic SVD on brain MRI were rated for the presence of WMH (Fazekas scale 2-3), enlarged perivascular spaces (EPVS), chronic lacunae, and any cerebral microbleeds (CMB) using the STRIVE criteria. Severity of SVD was quantified by adding the presence of each SVD feature to a maximum score of 4. Multivariable logistic regression models were performed to evaluate the relationships between SVD and poor collaterals. Results: Of the 100 patients, the mean age was 65±16, median NIHSS was 15, and 68% had SVD. Poor collaterals were observed in 46%, and those with SVD were more likely to have poor collaterals (aOR 1.9; 95%CI 1.1-3.2) than patients without SVD. Of the SVD types, poor collaterals were associated with WMH (aOR 2.9 per Fazekas increment; 95%CI 1.6-5.3) but not EPVS (aOR 1.3; 0.4-4.0), lacunae (aOR 2.1; 0.6-7.1), or CMB (aOR 2.1; 0.6-7.8). Having a greater number of different SVD markers was associated with a higher odds of poor collaterals (crude trend p<.001; adjusted p=.056). There was a dose-dependent relationship between WMH burden and poor collaterals: adjusted odds of poor collaterals were 1.5, 3.0, and 9.7 across Fazekas scores of 1-3 (trends P=.015, Table). No patient with SVD score of 4 had good collaterals. Conclusions: Chronic cerebral small-vessel disease is associated with poor recruitment of collaterals in large-vessel occlusive stroke. A prospective study to elucidate the mechanism of how SVD may impair the recruitment of collaterals is ongoing.

Introduction: Robust leptomeningeal collaterals protect brain from ischemia, yet the determinants of poor collaterals remains unclear. We aimed to identify predictors of poor collaterals in patients with large-vessel occlusive stroke. Methods: We analyzed 112 consecutive patients with middle cerebral artery ± internal carotid artery occlusion from 2012-2016 who presented within 6 hours after stroke symptoms onset. Collaterals on baseline CT-angiogram (poor collaterals ≤50% filling, good collaterals >50% filling) were reviewed blinded to clinical data. Pre-specified predictors of poor collaterals were analyzed with adjusted logistic regression models: including known predictors (age, vascular risk factors and metabolic derangements) and hypothesized predictors (low cardiac output, elevated inflammatory markers, and imaging evidence for chronic cerebral small-vessel disease and chronic steno-occlusive arterial disease). Results: The mean age was 67± 16 years, there were 48% women, 57% white, and median NIHSS was 15 (IQR 11-20). Poor collaterals at baseline were detected in 48%. Multivariable modeling identified that age (aOR 1.8 per 10 years; 95% CI 1.3-2.6; p<0.001), black race (aOR 2.1; 95% CI 1.0-4.5; p=0.043), high blood glucose level (aOR 2.4 per 100 mg/dl; 95% CI 1.1-5.1; p=0.029), and high WMH burden (aOR 6.1; 95%CI 1.8-20.4; p=0.003) were independent predictors of poor collaterals. Associations between low cardiac output, elevated inflammatory markers, intracranial atherosclerosis and poor collaterals did not reach statistical significance (Table). Conclusions: We have identified that advanced age, black race, hyperglycemia, and white matter hyperintensities are predictors of poor collaterals. Independent replication study at another institution is ongoing to further explore the hypothesized predictors.

Background and Purpose— The American Heart Association’s Life’s Simple 7 (LS7) defines ideal cardiovascular health by 7 metrics: not smoking, regular physical activity, normal body mass index, blood pressure, plasma glucose, and total cholesterol levels, and a healthy diet. We assessed prevalence and predictors of ideal LS7 among US stroke survivors. Methods— Among 67 514 participants in the National Health and Nutrition Examination Surveys from 1988 to 1994 and 1999 to 2014, 1597 adults (≥18 years) had self-reported history of stroke. LS7 metrics were categorized as poor, intermediate, and ideal; ideal LS7 scores were calculated (1 point for each ideal metric met). Trends in poor, intermediate, and ideal cardiovascular health were assessed. Odds of low (0–1) versus high (≥4) ideal LS7 scores were assessed according to sex, race, poverty income ratio, and education level, before and after adjusting for covariates. Results— Only 1 participant met all ideal LS7 metrics. The proportion with low LS7 score increased from 17.9% in 1988 to 1994 to 35.4% in 2011 to 2014 ( P <0.001). Over that time frame, prevalence of poor blood pressure (≥140/90 mm Hg) and poor cholesterol (≥240 mg/dL) decreased (45.2%–26.5% and 37.2%–10.3%), whereas prevalence of poor body mass index (≥30 kg/m 2 ), poor diet (healthy eating index score <50), and poor physical activity (0 minutes moderate/vigorous activity per week) increased (26.9%–39.0%; 14.2%–50.6%; 44.6%–70.9%; all P <0.05). After adjustment, black race (odds ratio, 2.29; 95% CI, 1.17–4.48), poverty income ratio ≤200% (odds ratio, 2.20, 95% CI, 1.11–4.36), and ≤12th grade education (odds ratio, 4.50; 95% CI, 2.27–8.92) were associated with low ideal LS7 scores. Conclusions— Over the past 3 decades, blood pressure and cholesterol control among stroke survivors improved, but rates of obesity, poor diet, and physical inactivity increased. Stroke survivors who are black, poor, or less educated are less likely to have ideal cardiovascular health.