Meschia, James F.

Introduction: Cilostazol has promise as an alternative to aspirin for secondary stroke prevention given its vasodilatory and anti-inflammatory properties in addition to platelet aggregation inhibition. We conducted a systematic review and meta-analysis to estimate the comparative effectiveness and safety of cilostazol compared to aspirin for stroke prevention in patients with previous stroke or TIA. Hypothesis: Cilostazol is more effective than aspirin in preventing recurrent ischemic stroke with lower risk of intracranial hemorrhage and bleeding. Methods: We searched PubMed and the Cochrane Central Register of Controlled Trials from inception to 2019. Randomized clinical trials that compared cilostazol vs aspirin and reported the endpoints of ischemic stroke, intracranial hemorrhage and bleeding were included. A random-effects estimate was computed based on Mantel-Haenszel methods. The pooled estimates with 95% confidence intervals were compared between cilostazol and aspirin and displayed as forest plots (Figure). Results: The search identified 5 randomized clinical trials comparing cilostazol vs aspirin for secondary stroke prevention that enrolled 7,240 patients from primarily Asian countries (3,615 received cilostazol and 3,625 received aspirin). The pooled results from the random-effects model showed that cilostazol was associated with significantly lower risk of recurrent ischemic stroke (Hazard ratio [HR] 0.70; 95%CI, 0.54-0.89), intracranial hemorrhage (HR 0.41; 95%CI, 0.25-0.65) and bleeding (HR 0.71; 95%CI, 0.55-0.91). See forest plots. Conclusion: This meta-analysis suggests cilostazol is more effective than aspirin in the prevention of recurrent ischemic stroke with lower risk of intracranial hemorrhage and bleeding. Confirmatory randomized trials of cilostazol for secondary stroke prevention to be performed in more generalizable populations are needed.

Introduction: Left atrial enlargement (LAE) is associated with atrial fibrillation, a frequent cause of large vessel occlusion (LVO) leading to ischemic stroke. Leptomeningeal collaterals protect tissue from ischemia, but the association between collaterals and structural heart disease is not well described. We aim to investigate the association between LAE and cerebral collaterals during acute LVO when microvasculature, vasodilation, and chronotropic competence are critically important. Hypothesis: Left atrial enlargement is associated with poor collaterals. Methods: We reviewed consecutive patients presenting with middle cerebral and internal carotid LVO who underwent thrombectomy from 2012 to 2017. Patients with CT angiogram of the head and echocardiogram were included. Poor collaterals were defined as ≤ 50% filling on CT angiogram. LAE was defined as left atrial volume index ≥ 35 mL/m 2 . Multivariate logistic regression analysis was performed to evaluate the relationship between LAE and poor collaterals with adjustment for age and hypertension. Results: There were 128 eligible patients. The mean age was 68± 15 years, median NIHSS was 17, and 51 (39.8%) had LAE. Baseline characteristics are described in the table. Poor collaterals were observed in 50 (39%) patients. Patients with LAE were more likely to have poor collaterals compared to those with normal left atrial size (52.9% vs. 29.9%, p=0.009). After adjusting for age and hypertension, a trend towards association remained (OR 2.00, p=0.089). Conclusion: Our results indicate that patients with LVO and LAE were more likely to have poor collaterals. Further research is warranted to determine the cause of the association. One possibility is shared pathophysiology affecting both cardiac and cerebral vasculature such as microvascular disease or endothelial dysfunction. Alternatively, structural heart disease causing chronotropic incompetence may lead to poor collateral filling.

Objective: To characterize migraine in patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL). Background: CADASIL serves as a key model of a monoallelic stroke disease. A portion of patients have coexistent migraine with aura, yet the relationship between migraine and the pathophysiology of CADASIL is poorly understood. Design/Methods: We performed a prospective study of adults with a confirmed genetic diagnosis of CADASIL, age-matched controls with migraine with aura (MA), and headache-free controls. The Migraine Disability Assessment Questionnaire (MIDAS) and Headache Impact Test (HIT-6) were used to quantify migraine-related disability. Subjects were followed for one year after enrollment. Results: We enrolled 88 subjects, which included 33 subjects with CADASIL, 32 subjects without CADASIL but with MA, and 23 control subjects without CADASIL or MA. Mean age was 53.6 (range, 22-86), 64.8% (57/88) were females, and 83% (73/88) were white. Of the CADASIL subjects, 61% (20/33) suffered from MA (CAD/+MA). Aura semiology amongst the CAD/+MA and MA patients were as follows: visual (80% vs 81%), sensory (75% vs 81%), speech (75% vs 50%), motor (30% vs 50%), brain stem (60% vs 81%) and retinal (30% vs 25%). Mean MIDAS scores at enrollment were comparable between the CAD/+MA and MA populations (32.3 vs 33.5), as were mean HIT-6 scores (56.3 vs 56.9). Discussion: These preliminary results do not show a significant difference in migraine disability between CADASIL migraineurs and chronic migraineurs. Minor differences were observed in aura distribution between the two groups, although further investigations are needed to better understand the underlying pathology of CADASIL and migraine.

Background: Perfusion weighted imaging on MRI (MRP) and computerized tomography perfusion (CTP) are increasingly required to manage large vessel disease. Computerized algorithms can quantify perfusion data, but the programs are expensive and not widely used outside acute stroke evaluation. We aimed to determine how well human observers can identify asymmetries in cerebral perfusion images compared with an automated computer algorithm. Methods: Ten clinicians experienced in treating carotid artery disease (4 vascular neurologists, 3 neuroradiologists, 1 vascular surgeon, 1 neurosurgeon, 1 interventional radiologist) were given 28 post-processed, color-coded, axial-slice MRP scans from patients in the Carotid Revascularization Endovascular versus Stenting Trial - Hemodynamics (CREST-H) study. All patients had >70%, unilateral, asymptomatic carotid artery stenosis and had varying degrees of time-to-peak (TTP) delay on the side of stenosis, ranging from 0 to 2 secs, quantified by a semi-automated system that computes quantitative perfusion maps, using deconvolution of tissue and arterial signals (Olea, Cambridge, MA). A minimum volume of 10cc was required for a given TTP delay. Clinicians were asked to determine asymmetry (y/n) and side of occlusion for each case. Number of correct responses that matched the computer output were tallied. Results: We averaged correct responses by the 10 clinicians for cases at each increment of TTP delay; (Figure). At TTP delays ≥1.5 seconds, accuracy was ≥80%. At 1.25 sec accuracy fell to 60%, and at ≤ 1 sec, accuracy was ≤50%. For TTP=0 (no asymmetry), accuracy was 71%. Conclusions: Visual impression of hemodynamic asymmetry among experienced clinicians was reasonably accurate for TTP delays ≥1.5 seconds, but declined with more subtle asymmetries. Depending on the clinical impact of TTP delays (for CREST-H: correlation with cognitive decline), experienced clinicians may perform as well as an automated algorithm.

Background: Presence of atherosclerotic disease in more than one vascular bed (polyvascular disease) is associated with an increased risk of long-term vascular events. In the setting of asymptomatic carotid stenosis, the predictors of disease in other vascular beds is not well delineated. Objective: To identify the frequency and predictors of disease in other vascular beds the CREST 2 randomized trial population with hemodynamically significant stenosis. Methods: Recorded baseline characteristics among CREST 2 participants included: demographics, past medical history, lifestyle factors, and laboratory studies. Each variable was tested against three potential definitions of disease in other beds (cardiac, peripheral arterial disease (PAD) or disease in cardiac + PAD). Statistical analysis was done with Chi square and t tests as appropriate. Results: Data from 1447 patients were available for analysis. In these subjects with carotid disease, 51% also had cardiac disease, 24% also had PAD, and 16% had disease in in both cardiac and PAD. There was no relationship between age or race and presence of disease in other beds. Those with cardiac disease were more likely to be male. Diabetes, hypertension, hypercholesterolemia, and former history of smoking were all more common in those with either cardiac and PAD (TABLE). Elevated triglyceride and low HDL levels were also associated with all three definitions of disease in other beds. Those with either PAD or cardiac + PAD were more likely to be current smokers. Conclusions: Among CREST 2 participants, several medical conditions and lifestyle factors were associated with an increased frequency of disease in other vascular beds. Smoking, in particular, appears to be more common in those with PAD. Future analyses will address whether those with disease in other beds have higher rates of stroke or death.

Baseline Differences in Risk Factor Control and Medication Use Between 2 Trials Employing Intensive Medical Management (SAMMPRIS & CREST2) Background: The CREST2 trial Intensive Medical Management (IMM) protocol was adapted from the SAMMPRIS trial. However, since the 2011 publication of initial results of SAMMPRIS, there has been a greater appreciation for the importance of risk factor control in patients at risk of stroke associated with atherosclerosis. Therefore, we sought to determine differences in baseline risk factor control and medication use between SAMMPRIS and CREST2. Methods: Baseline risk factor and medication use data from 451 patients enrolled in SAMMPRIS (2008-2011) with severe symptomatic intracranial atherosclerosis and 1473 patients enrolled in CREST2 (2014-2019) with severe asymptomatic carotid stenosis were compared using the Chi-square test and t-test. Results: The Table shows baseline risk factor values and medications. SAMMPRIS patients were younger but had significantly worse risk factor control than CREST2 patients for all measures. There was no significant difference in statin use at baseline, but the mean SAMMPRIS subjects’ LDL was 16.1 mg/dL higher than in CREST2. CREST2 patients had higher rates of use of angiotensin receptor blockers (ARB), calcium channel blockers (CCB), and thiazides, but lower rates of use of angiotensin converting enzyme (ACE) inhibitors. Conclusions: Despite being older, CREST2 patients have significantly better baseline risk factor profiles than SAMMPRIS patients. This could be due to greater appreciation of the importance of risk factor control and healthy lifestyle habits for stroke prevention or more aggressive treatment targets in guideline recommendations. Although risk factor control appears to be improving since SAMMPRIS, many CREST2 patients are still not meeting recommended risk factor goals at baseline and may benefit from IMM protocols.

Introduction: Genetic studies of early-onset disease have been an effective strategy to identify novel pathways and drug targets relevant to later-onset disease. Few studies have investigated the role of common genetic variation in the etiology of early-onset ischemic stroke (IS). Methods: We performed a GWAS meta-analysis of 38 studies from 10 countries, comprised of 5,847 IS cases of European ancestry under age 60 and 32,533 controls. Results: We identified two genome-wide significant (p< 5 x 10 -8 ) loci (see Figure). The ABO locus has previously been associated with venous thrombosis and ischemic stroke in predominantly older adults, but the effect size of our top SNP (OR 1.18; p = 9.1 x 10 -12 ) is larger than the effect size for this same SNP in MEGASTROKE (OR: 1.05; p = 6.5 x 10 -5 ). The lead SNP at the BCL7A/MLXIP locus is a novel GWAS finding for stroke (OR 1.14, 95% CI 1.08-1.19; p = 1.7 x 10 -8 ) and is noteworthy because of prior reports linking SNPs in these genes to BMI and blood pressure. Conclusions: We identified a novel locus that is near variants associated with BMI and blood pressure. Further studies are needed to confirm this locus, examine subtype specificity, and determine its function. The larger effect size observed at the ABO in this early-onset IS sample compared to older-onset IS samples is consistent with a larger role for prothrombotic mechanisms in early-onset IS.

Background: The risk for intracranial (IA) and abdominal aortic aneurysms (AAA) is partially heritable, with evidence mounting in favor of shared genetic risk for both. Methods: The Brain and Aortic Aneurysm Study (BAAS, NCT#17341) at University of Virginia seeks to determine the coprevalence of IA and AAA recruiting patients presenting with an aneurysm at one site and screening for aneurysm at the other. Participants undergo genetic screening and an interview where clinical, demographic, and radiographic data are collected. Recruitment and screening are ongoing, so preliminary demographic data regarding between group differences (IA vs. AAA) are presented. All clinical and demographic data were collected and recorded in REDCap and exported to Excel. We compared a total of 256 participants (IA=164, AAA=92) for demographic factors: age, sex, smoking and past medical history. Results: The AAA cohort was older (70.98 vs. 58.51, p<.001) and more male (79.34% vs. 23.78% p<.001). The AAA cohort had a higher proportion with diabetes mellitus (28.26% vs. 15.24%, p=.012), with hyperlipidemia (67.39% vs. 44.51%, p<.001) and higher smoking pack years (44.07 vs. 17.85, p<.001). The two groups did not differ in proportion with hypertension, coronary artery disease, or peripheral vascular disease (all p>.05). Conclusions: These data suggest that there may be subtle differences in the clinical profile of patients presenting with IA and AAA, especially when considering known aneurysmal risk factors like hypertension, diabetes, and smoking history. Further analyses will consider whether these factors modulate the coprevalence of the two types of aneurysms.

Introduction: White matter hyperintensity volume (WMHv) is an important and highly heritable cerebrovascular phenotype; however, manual or semi-automated approaches to clinically acquired MRI analysis hinder large-scale studies in acute ischemic stroke (AIS). In this work, we develop a high-throughput, fully automated WMHv analysis pipeline for clinical fluid-attenuated inversion recovery (FLAIR) images to facilitate rapid genetic discovery in AIS. Methods: Automated WMHv extraction from multiple subjects relies on significant pre-processing of medical scans, including co-registration of the images. To reduce the effects of anisotropic voxel sizes, each FLAIR image is upsampled using bi-cubic interpolation. Brain extraction is performed using RObust Brain EXtraction (ROBEX). Images are then registered to an in-house FLAIR template using Advanced Normalization Tools (ANTs). The spatial covariation of WMH is learned through principal component analysis (PCA) of manual outlines from 100 subjects. Areas of leukoaraiosis are identified and separated from other lesions using the PCA modes. Volumes are then computed using non-interpolated slices for each subject. Standard deviation (SD) in WMHv (9 subjects; 6 raters each) is calculated as a measure of variability. Good agreement between automated and manual outlines is assessed in 358 subjects (automated WMHv within 3SD of manual WMHv). Results: As part of the MRI - Gen etics I nterface E xploration (MRI-GENIE) study, WMHv were calculated on a set of 2703 FLAIR images of patients from 12 independent AIS cohorts (sites). Results are shown in Figure 1. Comparing manual and automated WMHv shows that 88% of the automated WMHv fall within 3 SD from the manual WMHv, suggesting good agreement. Conclusion: WMHv segmentation using a fully-automated pipeline for analysis of clinical MRIs is both feasible and accurate. Ongoing analysis of the extracted WMHv is expected to advance current knowledge of risks and outcomes in AIS.

Introduction: Even though neuroinflammation is increasingly recognized as an essential contributor to ischemic brain injury, the exact underlying mechanisms remain unclear. Higher expression of the vascular cell adhesion molecule 1 (VCAM-1) increases leukocyte-brain endothelium interaction and has been associated with larger infarct size following acute ischemic stroke (AIS). The activation of the TGF-β signaling pathways can down-regulate VCAM-1 expression and ameliorate deleterious tissue outcome during neuroinflammation. Hypothesis: We sought to investigate whether genetic variation in the TGF-beta pathway and adhesion molecule genes is associated with acute stroke lesion size. Methods: We completed genome-wide association (GWA) testing and diffusion-weighted imaging lesion volume (DWIv) analysis in a discovery cohort of 532 AIS patients of European ancestry enrolled within 48 hours of symptom onset. An independent European ancestry cohort of 724 AIS patients with GWA data and automated DWIv served as replication cohort. GWA testing per SNP was performed using linear regression modeling of natural log-transformed DWIv adjusted for age, sex and relevant principal components. We selected 42 inflammatory genes in the TGF-beta pathway for a gene-based analysis using VEGAS (Versatile Gene-based -Association Study) software. A pre-specified discovery phase Bonferroni-corrected threshold was set at p<0.001. In the replication phase, 14 SNPs overlapping were tested at the Bonferroni-corrected p-value threshold of p<0.004. Results: Of all genes in the TGF-beta pathway, VCAM1 (p=0.0006) was significantly associated with DWIv in the discovery AIS cohort (age: 66 ± 14.9 years, sex: 63.4% male, DWIv: 2.2cm 3 (IQR: 0.6-11.7cm 3 )). A single SNP within the VCAM1 gene boundaries (rs3176876 (BETA=0.2341, p=0.003)) was significantly associated with DWIv in the replication AIS cohort (age: 65 ± 14.1 years, sex: 68.6% male, DWIv: 4cm 3 (IQR: 1.3-17.2cm 3 )). Conclusion: The genetic variant rs3176876 in the VCAM1 gene is associated with larger infarct lesion size measured on brain MRI of AIS patients. These findings suggest genetic contribution to the pro-inflammatory mechanisms in acute cerebral ischemia and warrant further investigation.