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Background and ObjectivesStroke in young adults constitutes 15%–18% of all ischemic stroke cases. Black individuals have an excess risk of ischemic stroke especially in young adults. Although it is known that Black patients have a higher prevalence of hypertension and diabetes, few studies have addressed the association of concurrent multiple vascular risk factors with the excess risk of early-onset stroke among Black individuals.MethodsA population-based case-control study of early-onset ischemic stroke, ages 15–49 years, was conducted in the Baltimore-Washington DC region between 1992 and 2007. Presence of the risk factors of obesity, hypertension, diabetes, and current smoking were obtained from both cases and controls by an in-person interview. Risk factor groups were defined as (1) 1 risk factor, (2) 2 risk factors, (3) 3 risk factors, and (4) 4 risk factors. Logistic regression analysis adjusting for age and sex was used to evaluate the association between each risk factor group and ischemic stroke compared with the reference group with no risk factors.ResultsThe study included 1,034 cases and 1,091 controls. Of the cases, 47% were Black, 54% were men, and the mean (±SD) age was 41.0 (±6.9) years. The odds of having a stroke increased exponentially as the number of risk factors increased, 2.1, 2.6, 7.6, 16.5, allp< 0.001, for groups 1–4, respectively. When stratified by race, Black individuals were approximately 6 times more likely to have all 4 risk factors.DiscussionThe risk of stroke in young adults increased exponentially with the number of risk factors. Young Black patients with ischemic stroke were approximately 6 times more likely to have the co-occurrence of obesity, hypertension, diabetes, and smoking compared with their White counterparts. Targeting public health interventions to identify and improve care to Black young adults with multiple stroke risk factors may have substantial impact on lowering risk of stroke.

ObjectiveTo develop a simple and effective risk score for predicting which stroke patients will have persistent impairment of upper extremity motor function at 90 days.DesignPost hoc analysis of clinical trial patients hospitalized with acute ischemic stroke who were followed for 90 days to determine functional outcome.SettingPatient were hospitalized at facilities across the United States.ParticipantsWe created a harmonized cohort of individual patients (N=1653) from the NINDS tPA, ALIAS part 2, IMS-III, DEFUSE 3, and FAST-MAG trials. We split the cohort into balanced derivation and validation samples.InterventionsNot applicable.Main outcome measuresThe primary outcome was persistent arm impairment, defined as a National Institutes of Health Stroke Scale (NIHSS) arm domain score of 2 to 4 at 90 days in patients who had a 24-hour NIHSS arm score of 1 or more. We used least absolute shrinkage and selection operator regression to determine the elements of the persistent upper extremity impairment (PUPPI) index, which we validated as a predictive tool.ResultsWe included 1653 patients (827 derivation, 826 validation), of whom 803 (48.6%) had persistent arm impairment. The PUPPI index gives 1 point each for age 55 years or older and NIHSS values of worse arm (4), worse leg (>2), facial palsy (3), and total NIHSS (≥10). The optimal cutpoint for the PUPPI index was 3 or greater, at which the area under the curve was greater than 0.75 for the derivation and validation cohorts and when using NIHSS values from either 24 hours or in a subacute or discharge time window. Results were similar across different levels of stroke severity.ConclusionThe PUPPI index uses readily available information to accurately predict persistent upper extremity motor impairment at 90 days poststroke. The PUPPI index can be administered in minutes and could be used as inclusion criterion in recovery-related clinical trials or, with additional development, as a prognostic tool for patients, caregivers, and clinicians.

This study aimed to investigate the influence of stroke lesions in pre-defined highly interconnected (rich club) brain regions on functional outcome post-stroke, determine their spatial specificity and explore the effects of biological sex on their relevance.We analyzed MRI data recorded at index stroke and ∼3-months modified Rankin Scale (mRS) data from patients with acute ischemic stroke (AIS) enrolled in the multisite MRI-GENIE study. Structural stroke lesions were spatially normalized and parcellated into 108 atlas-defined bilateral (sub)cortical brain regions. Unfavorable outcome (mRS>2) was modeled in a Bayesian logistic regression framework that relied on both lesion location, as well as the covariates: age, sex, total DWI lesion volume and comorbidities. Effects of individual brain regions were captured as two compound effects for (i) six bilateral rich club and (ii) all further non-rich club regions. Via model comparisons, we first tested whether the rich club region model was superior to a baseline model considering clinical covariates and lesion volume only. In spatial specificity analyses, we randomized the split into “rich club” and “non-rich club” regions and compared the effect of the actual rich club regions to the distribution of effects from 1,000 combinations of six random regions. In sex-specific analyses, we introduced an additional hierarchical level in our model structure to compare male and female-specific rich club region effects.A total of 822 patients (age: 64.7 (standard deviation: 15.0), 39% women, 27.7% with mRS>2) were analyzed. The rich club model substantially outperformed the baseline model (weights of model comparison: rich club model: 0.96; baseline: 0.04). Rich club regions had substantial relevance in explaining unfavorable functional outcome (mean of posterior distribution: 0.08, area under the curve: 0.8). In particular, the rich club-combination had a higher relevance than 98.4% of random constellations (15/1,000 random constellations with higher mean posterior values). Among the these 15 random constellations with higher means, the most frequently selected regions were the inferior temporal gyrus (posterior division, 8/15), the putamen (8/15), the cingulate gyrus (7/15) and the superior parietal lobule (6/15). Rich club regions were substantially more important in explaining long-term outcome in women than in men (mean of the difference distribution:-0.107, 90%-HDPI:-0.193 to -0.0124).Lesions in rich club regions were associated with increased odds of unfavorable outcome. These effects were spatially specific, i.e., the majority of random combinations of six regions had comparably smaller effects on long-term outcome. Effects were substantially more pronounced in women.

Objective: To evaluate whether a genomic risk score for ischemic stroke (IS) modifies oral contraceptive (OC)-associated IS risk. Background: OCs are generally safe but vascular risk factors are known to increase OC-associated IS risk. If a genomic risk score could identify a subset of women with substantially increased risk of OC-associated IS, this could influence prescribing guidelines and reduce stroke events. Methods: In the Genetics of Early-Onset Stroke (GEOS) study, there were 340 premenopausal women (143 IS cases and 197 controls) with data on OC use within 30 days prior to index event for cases or prior to interview for controls. Using a previously validated genomic risk score (metaGRS) for IS based on 19 polygenic risk scores of vascular events and risk factors, we stratified our sample into tertiles of genomic risk and calculated the association between OC use and IS within each tertile. We tested if the association between OC use and IS depended on genomic risk of stroke using logistic regression with an OC use*metaGRS interaction term. Results: Among all women, OC use was significantly associated with IS (odds ratio = 2.4, p = 0.002). The odds ratio for IS associated with OC use decreased from 3.9 in the tertile with highest genomic risk of IS to 1.5 in the tertile with lowest genomic risk (see Table). The formal test of interaction was consistent with our hypothesis (p = 0.07) that the genomic risk score modifies the association of OC use with IS. Conclusions: The results of our exploratory analysis support the need for international collaboration to generate sufficient sample sizes to determine whether a genomic risk score could be clinically useful in reducing OC-associated IS.

Background: Understanding the magnitude and causes of missing data is crucial to ensuring scientific integrity of clinical trials. Missing data threaten statistical and ecological validity, as results will only generalize to those who remain represented in the sample. Goal: Identify factors associated with loss at follow-up in acute ischemic stroke trials. Methods: We harmonized patient-level data from multiple NIH-funded acute ischemic stroke trials including NINDS IV-tPA, ALIAS part 2, SHINE, FAST-MAG, IMS-III, POINT, and DEFUSE 3, all of which had a 90-day study outcome. The primary outcome was the proportion of missing modified Rankin Scale (mRS) scores at 90 days. We compared patients with and without a 90-day mRS score among a variety of baseline patient characteristics. Results: Among 9580 subjects, 459 (4.8%) were missing their 90-day mRS. Age and race were associated with missingness. Compared to those with complete data, participants with missing data were younger (62 vs 66 years, p Conclusion: Bias due to missingness is an important consideration for all clinical trials, including genetic studies. Disparities in the availability of genetic data compounded by missing phenotypic data creates a twofold disadvantage for underrepresented groups. Long term, we need to understand the biomedical and sociological causes of these associations and develop recruitment and retention strategies to ensure the generalizability of trial results.

Background and ObjectivesTo examine whether high white matter hyperintensity (WMH) burden is associated with greater stroke severity and worse functional outcomes in lesion pattern–specific ways.MethodsMR neuroimaging and NIH Stroke Scale data at index stroke and the modified Rankin Scale (mRS) score at 3–6 months after stroke were obtained from the MRI–Genetics Interface Exploration study of patients with acute ischemic stroke (AIS). Individual WMH volume was automatically derived from fluid-attenuated inversion recovery images. Stroke lesions were automatically segmented from diffusion-weighted imaging (DWI) images, parcellated into atlas-defined brain regions and further condensed to 10 lesion patterns via machine learning–based dimensionality reduction. Stroke lesion effects on AIS severity and unfavorable outcomes (mRS score >2) were modeled within purpose-built Bayesian linear and logistic regression frameworks. Interaction effects between stroke lesions and a high vs low WMH burden were integrated via hierarchical model structures. Models were adjusted for age, age2, sex, total DWI lesion and WMH volumes, and comorbidities. Data were split into derivation and validation cohorts.ResultsA total of 928 patients with AIS contributed to acute stroke severity analyses (age: 64.8 [14.5] years, 40% women) and 698 patients to long-term functional outcome analyses (age: 65.9 [14.7] years, 41% women). Stroke severity was mainly explained by lesions focused on bilateral subcortical and left hemispherically pronounced cortical regions across patients with both a high and low WMH burden. Lesions centered on left-hemispheric insular, opercular, and inferior frontal regions and lesions affecting right-hemispheric temporoparietal regions had more pronounced effects on stroke severity in case of high compared with low WMH burden. Unfavorable outcomes were predominantly explained by lesions in bilateral subcortical regions. In difference to the lesion location–specific WMH effects on stroke severity, higher WMH burden increased the odds of unfavorable outcomes independent of lesion location.DiscussionHigher WMH burden may be associated with an increased stroke severity in case of stroke lesions involving left-hemispheric insular, opercular, and inferior frontal regions (potentially linked to language functions) and right-hemispheric temporoparietal regions (potentially linked to attention). Our findings suggest that patients with specific constellations of WMH burden and lesion locations may have greater benefits from acute recanalization treatments. Future clinical studies are warranted to systematically assess this assumption and guide more tailored treatment decisions.

BackgroundElevated International Normalized Ratio (INR) is a marker of coagulopathy, but its impact on outcomes following mechanical thrombectomy (MT) in patients with stroke is unclear. This study investigates the impact of mild INR elevations on clinical outcomes following MT.MethodsIn this retrospective cohort study, consecutive patients with stroke treated with MT were identified from 2015 to 2020 at a Comprehensive Stroke Center. Demographic information, past medical history, INR, National Institutes of Health Stroke Scale score, use of tissue plasminogen activator, and last known normal to arteriotomy time were recorded. Outcome measures included modified Thrombolysis in Cerebral Infarction (mTICI) score, modified Rankin Scale (mRS) score at 90 days, and intracerebral hemorrhage (ICH). Patients were divided into two groups: normal INR (0.8–1.1) and mildly elevated INR (1.2–1.7).ResultsA total of 489 patients were included for analysis, of which 349 had normal INR and 140 had mildly elevated INR. After multivariable adjustments, mildly elevated INR was associated with lower odds of excellent outcomes (mRS 0–1, OR 0.24, p=0.009), lower odds of functional independence (mRS 0–2, OR 0.38, p=0.038), and higher odds of 90-day mortality (OR 3.45, p=0.018). Elevated INR was not associated with a higher likelihood of ICH, and there were no differences in rates of HI1, HI2, PH1, or PH2 hemorrhagic transformations; however, elevated INR was associated with significantly higher odds of 90-day mortality in patients with ICH (OR 6.22, p=0.024). This effect size was larger than in patients without ICH (OR 3.38, pConclusionIn patients with stroke treated with MT, mildly elevated INR is associated with worse clinical outcomes after recanalization and may worsen the mortality risk of hemorrhagic transformations.

Background: Multi-phenotype analysis of genetically correlated phenotypes can increase the statistical power to detect loci associated with multiple traits, leading to the discovery of novel loci. This is the first study to date to comprehensively analyze the shared genetic effects within different hemostatic traits, and between these and their associated disease outcomes. Objectives: To discover novel genetic associations by combining summary data of correlated hemostatic traits and disease events. Methods: Summary statistics from genome wide-association studies (GWAS) from seven hemostatic traits (factor VII [FVII], factor VIII [FVIII], von Willebrand factor [VWF] factor XI [FXI], fibrinogen, tissue plasminogen activator [tPA], plasminogen activator inhibitor 1 [PAI-1]) and three major cardiovascular (CV) events (venous thromboembolism [VTE], coronary artery disease [CAD], ischemic stroke [IS]), were combined in 27 multi-trait combinations using metaUSAT. Genetic correlations between phenotypes were calculated using Linkage Disequilibrium Score Regression (LDSC). Newly associated loci were investigated for colocalization. We considered a significance threshold of 1.85 × 10−9 obtained after applying Bonferroni correction for the number of multi-trait combinations performed (n = 27). Results: Across the 27 multi-trait analyses, we found 4 novel pleiotropic loci (XXYLT1, KNG1, SUGP1/MAU2, TBL2/MLXIPL) that were not significant in the original individual datasets, were not described in previous GWAS for the individual traits, and that presented a common associated variant between the studied phenotypes. Conclusions: The discovery of four novel loci contributes to the understanding of the relationship between hemostasis and CV events and elucidate common genetic factors between these traits.

Rehabilitation for stroke survivors with severe motor impairment remains challenging. Early motor rehabilitation is critical for improving mobility function post stroke, but it is often delayed due to limited resources in clinical practice. The objectives of this study were to investigate the feasibility and effectiveness of early in-bed sensorimotor rehabilitation on acute stroke survivors with severe hemiplegia using a wearable ankle robot. Eighteen patients (9 in the study group and 9 in the control group) with severe hemiplegia and no active ankle movement were enrolled in acute/subacute phase post stroke. During a typical 3-week hospital stay, patients in the study group received ankle robot-guided in-bed training (50 minutes/session, 5 sessions/week), including motor relearning under real-time visual feedback of re-emerging motor output, strong passive stretching under intelligent control, and game-based active movement training with robotic assistance. Whereas the control group received passive ankle movement in the mid-range of motion and attempted active ankle movement without robotic assistance. After multi-session training, the study group achieved significantly greater improvements in Fugl-Meyer Lower Extremity motor score (p = 0.007), plantarflexor strength (p = 0.009), and active range of motion (p = 0.011) than controls. The study group showed earlier motor recovery for plantarflexion and dorsiflexion than the control group (p < 0.05). This study showed that in-bed sensorimotor rehabilitation guided by a wearable ankle robot through combining motor relearning in real-time feedback, strong passive stretching, and active movement training facilitated early motor recovery for stroke survivors with severe hemiplegia in the acute/subacute phase.

HIV is known to increase the risk of both ischemic and hemorrhagic strokes. There are many postulated mechanisms for this elevated risk including an HIV-induced vasculopathy and/or coagulopathy, opportunistic infections, and cardioembolic etiologies, among others. Regarding vasculopathy, prior reports have described the various changes to the arterial vasculature that can occur in the setting of HIV, yet the appropriate workup and management of this condition remains poorly defined. Here we describe two cases of patients with HIV presenting with large vessel intracranial occlusions in the setting of ectatic extracranial vasculature accompanied by intraluminal thrombus formation. One patient underwent thrombectomy, while the other improved after receiving IV-tPA. Inferring on these cases and the existing literature, a standardized workup and treatment algorithm is proposed, emphasizing the key management decisions that should be considered on a case-by-case basis.

ObjectiveTo examine etiologic stroke subtypes and vascular risk factor profiles and their association with white matter hyperintensity (WMH) burden in patients hospitalized for acute ischemic stroke (AIS).MethodsFor the MRI Genetics Interface Exploration (MRI-GENIE) study, we systematically assembled brain imaging and phenotypic data for 3,301 patients with AIS. All cases underwent standardized web tool–based stroke subtyping with the Causative Classification of Ischemic Stroke (CCS). WMH volume (WMHv) was measured on T2 brain MRI scans of 2,529 patients with a fully automated deep-learning trained algorithm. Univariable and multivariable linear mixed-effects modeling was carried out to investigate the relationship of vascular risk factors with WMHv and CCS subtypes.ResultsPatients with AIS with large artery atherosclerosis, major cardioembolic stroke, small artery occlusion (SAO), other, and undetermined causes of AIS differed significantly in their vascular risk factor profile (all p < 0.001). Median WMHv in all patients with AIS was 5.86 cm3 (interquartile range 2.18–14.61 cm3) and differed significantly across CCS subtypes (p < 0.0001). In multivariable analysis, age, hypertension, prior stroke, smoking (all p < 0.001), and diabetes mellitus (p = 0.041) were independent predictors of WMHv. When adjusted for confounders, patients with SAO had significantly higher WMHv compared to those with all other stroke subtypes (p < 0.001).ConclusionIn this international multicenter, hospital-based cohort of patients with AIS, we demonstrate that vascular risk factor profiles and extent of WMH burden differ by CCS subtype, with the highest lesion burden detected in patients with SAO. These findings further support the small vessel hypothesis of WMH lesions detected on brain MRI of patients with ischemic stroke.

OBJECTIVE:To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). PATIENTS AND METHODS:This study was conducted between July 1, 2014, and March 16, 2019. We analyzed cross-sectional data of the multisite, international hospital-based MRI-Genetics Interface Exploration study with clinical brain magnetic resonance imaging obtained on admission for index stroke and functional outcome assessment. Poststroke outcome was determined using the modified Rankin Scale score (0-6; 0 = asymptomatic; 6 = death) recorded between 60 and 190 days after stroke. Demographic characteristics and other clinical variables including acute stroke severity (measured as National Institutes of Health Stroke Scale score), vascular risk factors, and etiologic stroke subtypes (Causative Classification of Stroke system) were recorded during index admission. RESULTS:Utilizing the data from 912 patients with AIS (mean ± SD age, 65.3±14.5 years; male, 532 [58.3%]; history of smoking, 519 [56.9%]; hypertension, 595 [65.2%]) in a generalized linear model, brain volume (per 155.1 cm3) was associated with age (β -0.3 [per 14.4 years]), male sex (β 1.0), and prior stroke (β -0.2). In the multivariable outcome model, brain volume was an independent predictor of modified Rankin Scale score (β -0.233), with reduced odds of worse long-term functional outcomes (odds ratio, 0.8; 95% CI, 0.7-0.9) in those with larger brain volumes. CONCLUSION:Larger brain volume quantified on clinical magnetic resonance imaging of patients with AIS at the time of stroke purports a protective mechanism. The role of brain volume as a prognostic, protective biomarker has the potential to forge new areas of research and advance current knowledge of the mechanisms of poststroke recovery.

Few studies have addressed Black-White differences in left ventricular hypertrophy (LVH) in young stroke patients without a history of hypertension.A case-only cross-sectional analysis performed in 2019 of data from the Stroke Prevention in Young Adults Study, a population-based case-control study of ischemic stroke patients ages 15-49. The main outcomes were hypertension indicators at the time of stroke hospitalization: self-reported history of hypertension, LVH by echocardiography (Echo-LVH) and LVH by electrocardiogram (ECG-LVH). The prevalence of Echo-LVH was further determined in those with and without a history of hypertension. Adjusted odds ratios and 95% confidence intervals comparing blacks and whites were calculated by logistic regression.The study population included 1028 early-onset ischemic stroke patients, 48% Black cases, 54% men, median age 43 years (interquartile range, 38-46 years). Overall, the prevalence of hypertension history, Echo-LVH and ECG-LVH were 41.3%, 34.1% and 17.5%, respectively. Each of the hypertension indicators were more frequent in men than in women and in Black cases than in White cases. Black patients without a history of hypertension had higher rates of Echo-LVH than their white counterparts, 40.3% vs 27.7% (age and obesity adjusted OR 1.8; 95% CI 1.02-3.4) among men and 20.9% vs 7.6% (adjusted OR 2.7; 95% CI 1.2-6.2) among women.LVH was common in young patients with ischemic stroke, regardless of self-reported history of hypertension. These findings emphasize the need for earlier screening and more effective treatment of hypertension in young adults, particularly in the Black population.

Background: While research has focused on the trajectory of functional recovery after ischemic stroke, the trajectory of quality of life (QoL) has not been fully explored, nor has its relation to functional recovery. Methods: In a post hoc analysis of the IMS-III trial, we included patients with an imaging-confirmed large vessel occlusion and QoL assessed as EQ-5D at 5 study visits up to 1 year after ischemic stroke onset. We used group-based trajectory modelling (GBTM) to identify trajectories of EQ-5D index values with US-based weights and report patient demographics in each trajectory and the modified Rankin Scale (mRS) score at 90 days. Results: We included 266 patients, who had QoL measured at a mean of 4.6, 93.0, 184.3, 274.3, and 367.6 days after stroke onset. GBTM identified four trajectories with excellent fit (Figure). These QoL trajectories can be described as [1] persistent low, [2] low to medium, [3] persistent medium, and [4] medium to high. The corresponding mRS at 90 days are shown in the Figure, demonstrating a clustering of trajectories by mRS but also a diversity of trajectories. In particular, low to medium and persistent medium trajectories are represented across all mRS scores. Patient demographics are shown by trajectory in the Table, with significant differences in sex, baseline NIHSS, infarct volume, WMH burden, and diabetes. Conclusion: We demonstrate four distinct trajectories of QoL in the year after large vessel occlusion stroke, with a diversity of functional recovery and unique demographic compositions. Early recognition of a likely future QoL trajectory could suggest patient-specific rehabilitation therapies and inform prognostication and goals of care.

Background: Despite the association of statin use and lowered recurrent stroke and mortality, some studies suggest young stroke patients do not receive the same intense targeted treatment medical therapies for secondary stroke prevention as older patients. Our specific objective was to determine if there were differences in statin medication discharge practices provided to young ischemic stroke patients within a Stroke Clinical Network. The Stroke Clinical Network consists of nine stroke centers located in rural, suburban and urban geographical regions. Methods: The GWTG registry was queried (FY 2017-2021) to identify ischemic stroke patients to determine statin discharge practices using the following criteria: sex, race, age groups ≥18-39 and ≥40-49, LDL levels < 100, 101-129 and > 130, diabetes, HTN, and smoking status. Chi squared tests of proportions were used to evaluate significant relationships between subgroups. Results: Among 1,294 young ischemic stroke patients: 53% (682/1294) were Black and 38% (493/1294) White; mean age 40.9 years (SD +/-7.21years). Men, blacks, patients older than 40 and diabetics were more likely to be discharged on a statin. There was a direct correlation between sex, race, age, LDL level and diabetes with statin discharge practices. There was no difference in statin discharge practices between smokers and nonsmokers. Conclusions: Opportunities to improve compliance with obtaining LDL levels upon admission and prescribing statins at discharge exist. Increasing statin administration in the young stroke patient population reflects best practice and will decrease mortality and morbidity.

Background and Purpose: Although the US Black population has a higher incidence of stroke compared with the US White population, few studies have addressed Black-White differences in the contribution of vascular risk factors to the population burden of ischemic stroke in young adults. Methods: A population-based case-control study of early-onset ischemic stroke, ages 15 to 49 years, was conducted in the Baltimore-Washington DC region between 1992 and 2007. Risk factor data was obtained by in-person interview in both cases and controls. The prevalence, odds ratio, and population-attributable risk percent (PAR%) of smoking, diabetes, and hypertension was determined among Black patients and White patients, stratified by sex. Results: The study included 1044 cases and 1099 controls. Of the cases, 47% were Black patients, 54% were men, and the mean (±SD) age was 41.0 (±6.8) years. For smoking, the population-attributable risk percent were White men 19.7%, White women 32.5%, Black men 10.1%, and Black women 23.8%. For diabetes, the population-attributable risk percent were White men 10.5%, White women 7.4%, Black men 17.2%, and Black women 13.4%. For hypertension, the population-attributable risk percent were White men 17.2%, White women 19.3%, Black men 45.8%, and Black women 26.4%. Conclusions: Modifiable vascular risk factors account for a large proportion of ischemic stroke in young adults. Cigarette smoking was the strongest contributor to stroke among White patients while hypertension was the strongest contributor to stroke among Black patients. These results support early primary prevention efforts focused on smoking cessation and hypertension detection and treatment.

ObjectiveTo determine the contribution of common genetic variants to risk of early onset ischemic stroke (IS).MethodsWe performed a meta-analysis of genome-wide association studies of early onset IS, ages 18-59, using individual level data or summary statistics in 16,927 cases and 576,353 non-stroke controls from 48 different studies across North America, Europe, and Asia. We further compared effect sizes at our most genome-wide significant loci between early and late onset IS and compared polygenic risk scores for venous thromboembolism between early versus later onset IS.ResultsWe observed an association between early onset IS and ABO, a known stroke locus. The effect size of the peak ABO SNP, rs8176685, was significantly larger in early compared to late onset IS (OR 1.17 (95% C.I.: 1.11-1.22) vs 1.05 (0.99-1.12); p for interaction = 0.008). Analysis of genetically determined ABO blood groups revealed that early onset IS cases were more likely to have blood group A and less likely to have blood group O compared to both non-stroke controls and to late onset IS cases. Using polygenic risk scores, we observed that greater genetic risk for venous thromboembolism, another prothrombotic condition, was more strongly associated with early, compared to late, onset IS (p=0.008).ConclusionThe ABO locus, genetically predicted blood group A, and higher genetic propensity for venous thrombosis are more strongly associated with early onset IS, compared with late onset IS, supporting a stronger role of prothrombotic factors in early onset IS.

While chronological age is one of the most influential determinants of post-stroke outcomes, little is known of the impact of neuroimaging-derived biological brain age. We here first examine whether radiomics analysis of the texture of brain T2-FLAIR MRI images can be used to predict brain age in stroke patients. We then assess the clinical determinants of accelerated brain aging and, finally, its impact on post-stroke functional outcomes. Leveraging a multisite cohort of 4,163 ischemic stroke patients, we show that older-appearing patients have more hypertension, diabetes mellitus, prior strokes, and smoking history and are more likely to develop worse post-stroke outcomes than their younger-appearing counterparts. Our results strengthen the importance of preventive medicine for maintaining brain health in stroke patients as they age and suggest a novel methodology to capture previously undescribed prognostic information available on commonly acquired MRI sequences during routine stroke care.

Background and Purpose: Few studies have examined the dose-response and temporal relationships between marijuana use and ischemic stroke while controlling for important confounders, including the amount of tobacco smoking. The purpose of our study was to address these knowledge gaps. Methods: A population-based case-control study with 1090 cases and 1152 controls was used to investigate the relationship of marijuana use and early-onset ischemic stroke. Cases were first-ever ischemic stroke between the ages of 15 and 49 identified from 59 hospitals in the Baltimore-Washington region. Controls obtained by random digit dialing from the same geographic region were frequency-matched to cases by age, sex, region of residence and, except for the initial study phase, race. After excluding subjects with cocaine and other vasoactive substance use, the final study sample consisted of 751 cases and 813 controls. All participants underwent standardized interviews to characterize stroke risk factors and marijuana use. Unconditional logistic regression analysis was used to assess the relationships between marijuana use and risk of ischemic stroke, adjusting for age, sex, race, study phase, the amount of current tobacco smoking, current alcohol use, hypertension, and diabetes. Results: After adjusting for other risk factors, including the amount of current tobacco smoking, marijuana use was not associated with ischemic stroke, regardless of the timing of use in relationship to the stroke, including ever use, use within 30 days, and use within 24 hours. There was a nonsignificant trend towards increased stroke risk among those who smoked marijuana at least once a week (odds ratio, 1.9 [95% CI, 0.8–4.9]). Conclusions: These analyses do not demonstrate an association between marijuana use and an increased risk of early-onset ischemic stroke, although statistical power was limited for assessing the association among very heavy users.

Stroke in younger adults is less common than in older adults, with approximately 10-15% of all strokes occurring in adults aged 18 to 50 years of age. The pathogenesis of stroke in younger adults requires additional considerations for several less common risk factors and etiologies. As with any stroke patient, a thorough workup including evaluations of the brain, the blood vessels of the head and neck, the heart, and basic bloodwork must be performed. On the basis of these results, as well as case-specific clinical findings, family history, and other considerations, additional testing for genetic or hypercoagulable causes and specialized vascular and echocardiography can be performed. Overall, it is critical to identify the likely pathogeneses to prevent stroke recurrence. Regardless of pathogenesis, young stroke survivors with high rates of traditional risk factors must have these risk factors aggressively managed for long-term risk reduction. In this chapter, we focus on ischemic stroke in the young emphasizing a clinical evaluation framework, describing key considerations regarding etiology, treatment, and prevention that providers should contemplate in course of individualized patient care.

ObjectiveStudies indicate that the functional outcome evolves in the year after ischemic stroke onset. However, the traditional outcome measure in stroke trials is the modified Rankin Scale (mRS) at 90 days from onset. To determine mRS fluctuations in the first year after stroke, we examined data from 3 major stroke trials.MethodsIn a secondary analysis, we evaluated intrapatient mRS between 90 days and 1 year from stroke onset, the mRS shift (∆mRS = 1 year-day 90), and the trials' primary outcome at day 90 and 1 yearResultsWe included 624 patients from the National Institute of Neurological Disorders and Stroke rt-PA Stroke Study, 587 from Albumin Treatment for Acute Ischaemic Stroke, and 611 from Interventional Management of Stroke III, for which the proportion of patients with a ∆mRS change between day 90 and 1 year was 36.5%, 41.7%, and 36.0%. However, the trials' primary outcomes did not differ at 1 year vs 90 days. Similar findings were seen in a second cohort where we pooled the trials and excluded patients with recurrent stroke or death during the follow-up. In those 1,314 patients, 544 (41.4%) had a ∆mRS change, of which 379 (28.9%) had improvement and 165 (12.5%) had worsening, apart from death.ConclusionWe describe the patient-level spectrum of mRS change from day 90 to 1 year after ischemic stroke in 3 high-quality randomized trials. The patient-level shifts consisted of a sufficiently counterbalanced number of mRS improvements and declines, which masked clinical evolution occurring in over one-third of patients. These results may have important implications, both for clinical trial design and outcome adjudication in stroke research and duration of rehabilitative therapy.

Background and ObjectivesTo test the hypothesis that a predisposition to acquired genetic alterations is associated with ischemic stroke outcome by investigating the association between a polygenic risk score (PRS) for mosaic loss of chromosome Y (mLOY) and outcome in a large international data set.MethodsWe used data from the genome-wide association study performed within the Genetics of Ischemic Stroke Functional Outcome network, which included 6,165 patients (3,497 men and 2,668 women) with acute ischemic stroke of mainly European ancestry. We assessed a weighted PRS for mLOY and examined possible associations with the modified Rankin Scale (mRS) score 3 months poststroke in logistic regression models. We investigated the whole study sample as well as men and women separately.ResultsIncreasing PRS for mLOY was associated with poor functional outcome (mRS score >2) with an odds ratio (OR) of 1.11 (95% confidence interval [CI] 1.03–1.19) per 1 SD increase in the PRS after adjustment for age, sex, ancestry, stroke severity (NIH Stroke Scale), smoking, and diabetes mellitus. In sex-stratified analyses, we found a statistically significant association in women (adjusted OR 1.20, 95% CI 1.08–1.33). In men, the association was in the same direction (adjusted OR 1.04, 95% CI 0.95–1.14), and we observed no significant genotype-sex interaction.DiscussionIn this exploratory study, we found associations between genetic variants predisposing to mLOY and stroke outcome. The significant association in women suggests underlying mechanisms related to genomic instability that operate in both sexes. These findings need replication and mechanistic exploration.

Introduction: Plasma concentrations of prothrombotic factors such as fibrinogen have previously been associated with ischemic stroke risk. To extend this observation, we examined the association of polygenic risk scores (PRS) for increased plasma levels of thrombosis-related factors with ischemic stroke. Our hypotheses were that these PRS would be more associated with early than late onset stroke and with non-lacunar than lacunar stroke. Methods: We identified 9053 late onset (≥ 60 years) stroke cases from the NINDS International Stroke Genetics Consortium (SiGN) with 24804 controls and 6594 early onset (< 60 years) stroke cases from the Genetics of Early Onset Ischemic Stroke Consortium with 30561 controls. We identified previously known loci associated with plasma levels of four thrombosis-related factors: fibrinogen, fibrin D-dimer, tPA and PAI-1 from prior GWAS studies and developed genome-wide PRS for plasma concentrations of these factors. We then used logistic regression to test the association of these scores with risk of stroke and stroke subtype. Results: PRS for fibrin D dimer levels were associated with increased risk for all stroke and specifically for older (p = 0.019), but not younger (p = 0.22) onset stroke. PRS for tPA levels were also marginally associated with older (p = 0.06), but not younger (p = 0.24) onset stroke. Genetic risk scores for both D dimer and tPA were associated with non-lacunar stroke (Table 1). Further analyses stratified by age revealed PRS for D dimer to be significantly associated with non-lacunar stroke (but not lacunar stroke) in both late and early onset cohorts. PRS for fibrinogen and PAI-1 were not associated with stroke. Conclusion: Genomic risk scores for thrombosis-related factors including D dimer and tPA levels were associated with risk for ischemic stroke, and specifically, non-lacunar stroke.

Background: Motor impairment after ischemic stroke is common and has variable recovery that depends on patient factors and stroke severity. An important challenge in rehabilitation research is enrolling patients who may benefit from interventions to improve recovery because they will not recover with standard care. Hypothesis: We can accurately predict persistent upper extremity motor impairment at 90 days after acute ischemic stroke. Methods: The primary outcome was an NIHSS arm domain score of 2-4 at 90 days in patients with a 24-hour NIHSS arm score of 1-4, which we termed persistent arm impairment. With the NINDS tPA trial dataset we used LASSO regression to select baseline demographics and 24-hour NIHSS score domains for a predictive model. We gave one point each for age ≥60 years and 24-hour NIHSS values of worst arm=4, worst leg>2, facial palsy=3, and total NIHSS≥10. The optimal cutpoint for a positive Persistent UPPer extremity Impairment (PUPPI) Score was ≥3 points. We validated the PUPPI score in the ALIAS Part 2, IMS-III, and DEFUSE 3 trials. Results: We included 431, 383, 331, and 71 patients from the NINDS tPA, ALIAS Part 2, IMS-III, and DEFUSE 3 trials. PUPPI was most common in the NINDS tPA trial (62%) and least common in ALIAS (31.3%). The PUPPI Score accurately predicted PUPPI with an area under the receiver operating curve (AUC) of >0.75 for all trials (Table 1). The positive predictive value was 74.6%, 90.9%, 86.1%, and 74.5% in the NINDS tPA, ALIAS Part 2, IMS-III, and DEFUSE 3 trials (Table 1). Conclusion: The PUPPI score uses readily available information to provide accurate prediction of patients who will have persistent upper extremity motor impairment at 90 days from stroke onset.

Background: Stroke in young adults constitutes 15-18% of all ischemic strokes. Vascular risk factors contribute to stroke risk in young adults particularly older young adults. Few studies have addressed Black White differences in risk, stratified by age. We evaluated the prevalence of risk factors in the younger young (less than 40 years) vs. the older young adults (40 and above). Methods: A population based case control study with 1034 cases and 1091 controls, ages 15-49 was used to investigate the relationship between risk factors (DM, HTN, Smoking and Obesity) and stroke. Groups were defined by the number of risk factors (RF) among cases and controls : no risk factors (ref group), one RF, two RF, three RF and four RF. Prevalence of risk factors was determined in the entire population and stratified by age, sex and race. Logistic regression was used to determine odds of stroke based on the number of risk factors compared to the reference group. Results: The percent of cases with three or more risk factors was compared in different subgroups: ages 15-39 vs. 40-49 was 8.4 vs. 21.6, women vs. men was 15.6 vs. 18.6 and White vs. Black was 12.3 vs. 22.7. Among cases 40 years and older, Blacks were 3 times more likely than Whites (5.9 vs. 2) to have four or more risk factors.Across all age, race and sex subgroups, the odds of having a stroke increased exponentially with an increase in the number of risk factors. Conclusion: Blacks are more likely to have multiple risk factors than Whites. This difference is accentuated in those 40 years and older. Targeting young adults with multiple risk factors for preventive interventions would address a root case of excess stroke risk especially among Blacks.

Introduction: While oral contraceptive (OC) use is generally safe, women at higher risk for vascular disease are advised to use alternative forms of contraception. Smoking, a prothrombotic factor, is a contraindication for OC use in women over age 35. ABO blood group, specifically the non-O blood types, has also been associated with thrombosis risk. We therefore hypothesized that the effects of smoking and OC use on stroke risk would be accentuated in women with non-O blood groups. Methods: Using data from the Genetics of Early Onset Stroke Study, we used 3 polymorphisms within the ABO locus to classify blood group type in women under age 50, including 347 cases and 383 controls. Logistic regression was used to assess the stroke risk of current OC use, defined as use within 30 days, adjusted for other risk factors, and stratified by O and non-O blood group type. Results: Of the 347 women with early-onset stroke, 45% had African ancestry, 51% had European ancestry, and 4% had other ancestry. The median age was 42 years. After adjusting for race, age, hypertension, diabetes, migraines and aura, and smoking status, the odds ratio (OR) for stroke for smoking alone and OC use alone were 3.0 (95% CI 2.1-4.2) and 3.7 (95% CI 1.7-8.4), respectively in this population. Blood group (O vs non-O) did not appreciably alter the magnitude of these associations. However, the joint risk of smoking and OC use was substantially higher in women with blood group non-O (OR = 9.5, 95% CI 3.2-34.9) vs in women with blood group O (OR=4.9, 95% CI 0.4-110.2). Conclusions: Our findings are consistent with the possibility that non-O type blood group confers an increased risk of early onset stroke among OC users who smoke. Further studies are needed to confirm or refute this possibility and to determine whether non-O blood type should be considered in assessing the risk of OC use.

Intro: In the Early Onset Stroke Consortium (EOSC) trans-ancestry analysis we found the ABO locus to be strongly associated with early onset stroke (rs529565, OR=1.10, p-value= 2.01 x 10-12). The lead SNP at this locus has a significantly larger effect size in early onset cases compared to stroke cases after age sixty and is independently associated with venous thromboembolism. This finding, in addition with previously reported candidate gene studies ( F5 , F11 , PROCR ), suggests that coagulation and hemostasis related pathways may be a major driver of early onset stroke. Motivation: To examine the genetic relationship between VTE risk burden and early onset stroke, we performed a polygenic risk score analysis to determine whether increased genetic risk for VTE was also more strongly associated with early compared to late age of onset stroke. Methods: Weighted VTE polygenetic risk scores based on recent GWAS of VTE were calculated for each individual in 7K early onset, under age 60, stroke cases from the EOSC and in 9K late onset, ages 60 and older, stroke cases from SiGN. Logistic regression was performed to test the association between the VTE-PRS score and ischemic stroke outcome controlling for sex and the first ten principal components to account for ancestry. Analyses were stratified by age of onset. Fixed effects meta-analysis was performed to combined results across the analysis strata. Results: PRS of VTE was associated with early ischemic stroke (OR=1.11, p-value=0.02) and we saw no association between VTE-PRS and late onset stroke (OR=1.04, p-value=0.5). Early cases had a greater PRS of VTE than late cases (p-value=0.01). Conclusion: While VTE has been shown to associate with stroke risk, we observed a greater genetic risk for VTE in early onset ischemic stroke compared to older onset stroke. This complements existing evidence implicating coagulation-related mechanisms as an important genetic mechanism in early onset strokes.

Introduction: The AHA notes that more than 76% of strokes are the first occurrence. There are class 1 recommendations for the management of common risk factors such as atrial fibrillation (AF), hyperlipidemia (HLD), hypertension (HTN), diabetes (DM), and vascular disease. The purpose of this study is to investigate the percentage of large vessel strokes that are potentially preventable with adequate management of vascular risk factors. Methods: A retrospective chart review was conducted on all patients undergoing endovascular therapy (EVT) from 2012-2019. Data was collected on vascular risk factors present prior to admission including HTN, DM, HLD, AF, and smoking. Preventable stroke was defined as having at least one of the following: untreated AF, untreated HLD, poorly controlled HTN (presence of left ventricular hypertrophy on transthoracic echo), history of vascular disease not on an antiplatelet agent, poorly controlled DM (A1c>10), current smoking. Groups were compared based on age, sex and 90 day functional outcomes, with favorable outcome defined as mRS ≤ 2. Results: Our sample included 396 patients who underwent EVT (mean age 65, 50% female). 42% of patients with Afib were not on anticoagulation, 31% of patients with HLD were untreated, 39% of patients with HTN were poorly controlled, 27% of patients with a history of vascular disease were not on an antiplatelet, 14% of patients with DM were poorly controlled, and 46% of all patients were smokers. In total, 78% of patients had at least 1 poorly controlled risk factor and 37% had at least 2. There was no difference in rates of preventable stroke between males and females (48% vs 52%, p=0.30) and between age groups above and below 70 (40% vs 60%, p=0.68). 64% of patients with well controlled risk factors had a favorable outcome compared to 51% with at least one poorly controlled risk factor (p=0.03). Conclusions: Our data suggests that despite guidelines on management of vascular risk factors, a large number of these are poorly controlled prior to admission for large vessel stroke, leading to a potentially preventable procedure. Not only could improved primary prevention save the wide array of resources utilized in EVT, but it could also influence long term outcomes in this cohort of patients.

IntroductionNeuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of describing the texture of conventional images beyond what meets the naked eye, radiomic analyses hold potential for evaluating brain health. We sought to: 1) evaluate this novel approach to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and 2) uncover associations between predictive radiomic features and patients’ clinical phenotypes.MethodsOur analyses were based on a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images and corresponding deep-learning-generated total brain and WMH segmentation. Radiomic features were extracted from normal-appearing brain tissue (brain mask–WMH mask). Radiomics-based prediction of personalized WMH burden was done using ElasticNet linear regression. We built a radiomic signature of WMH with the most stable selected features predictive of WMH burden and then related this signature to clinical variables (age, sex, hypertension (HTN), atrial fibrillation (AF), diabetes mellitus (DM), coronary artery disease (CAD), and history of smoking) using canonical correlation analysis.ResultsRadiomic features were highly predictive of WMH burden (R2=0.855±0.011). Seven pairs of canonical variates (CV) significantly correlated the radiomics signature of WMH and clinical traits with respective canonical correlations of 0.81, 0.65, 0.42, 0.24, 0.20, 0.15, and 0.15 (FDR-corrected p-valuesCV1-6CV7=.012). The clinical CV1 was mainly influenced by age, CV2 by sex, CV3 by history of smoking and DM, CV4 by HTN, CV5 by AF and DM, CV6 by CAD, and CV7 by CAD and DM.ConclusionRadiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes. Further research could evaluate radiomics to predict the progression of WMH.Research in contextEvidence before this studyWe did a systematic review on PubMed until December 1, 2020, for original articles and reviews in which radiomics were used to characterize stroke or cerebrovascular diseases. Radiomic analyses cover a broad ensemble of high-throughput quantification methods applicable to digitalized medical images that extract high-dimensional data by describing a given region of interest by its size, shape, histogram, and relationship between voxels. We used the search terms “radiomics” or “texture analysis”, and “stroke”, “cerebrovascular disease”, “small vessel disease”, or “white matter hyperintensities”. Our research identified 24 studies, 18 studying radiomics of stroke lesions and 6 studying cerebrovascular diseases. All the latter six studies were based on MRI (T1-FLAIR, dynamic contrast-enhanced imaging, T1 & T2-FLAIR, T2-FLAIR post-contrast, T2-FLAIR, and T2-TSE images). Four studies were describing small vessel disease, and two were predicting longitudinal progression of WMH. The average sample size was small with 96 patients included (maximum: 204). One study on 141 patients identified 7 T1-FLAIR radiomic features correlated with cardiovascular risk factors (age and hyperlipidemia) using univariate correlations. All studies were monocentric and performed on a single MRI scanner.Added value of this studyTo date and to the best of our knowledge, this is the largest radiomics study performed on cerebrovascular disease or any topic, and one of the very few to include a great diversity of participating sites with diverse clinical MRI scanners. This study is the first one to establish a radiomic signature of WMH and to interpret its relationship with common cardiovascular risk factors. Our findings add to the body of evidence that damage caused by small vessel disease extend beyond the visible white matter hyperintensities, but the added value resides in the detection of that subvisible damage on routinely acquired T2-FLAIR imaging. It also suggests that cardiovascular phenotypes might manifest in distinct textural patterns detectable on conventional clinical-grade T2-FLAIR images.Implications of all the available evidenceAssessing brain structural integrity has implications for treatment selection, follow-up, prognosis, and recovery prediction in stroke patients but also other neurological disease populations. Measuring cerebral parenchymal structural integrity usually requires advanced imaging such as diffusion tensor imaging or functional MRI. Translation of those neuroimaging biomarkers remains uncommon in clinical practice mainly because of their time-consuming and costly acquisition. Our study provides a potential novel solution to assess brains’ structural integrity applicable to standard, routinely acquired T2-FLAIR imaging.Future research could, for instance, benchmark this radiomics approach against diffusion or functional MRI metrics in the prediction of cognitive or functional outcomes after stroke.

Acute ischemic stroke affects men and women differently in many ways. In particular, women are oftentimes reported to experience a higher acute stroke severity than men. Here, we derived a low-dimensional representation of anatomical stroke lesions and designed a sex-aware Bayesian hierarchical modelling framework for a large-scale, well phenotyped stroke cohort. This framework was tailored to carefully estimate possible sex differences in lesion patterns explaining acute stroke severity (NIHSS) in 1,058 patients (39% female). Anatomical regions known to subserve motor and language functions emerged as relevant regions for both men and women. Female patients, however, presented a more widespread pattern of stroke severity-relevant lesions than male patients. Furthermore, particularly lesions in the posterior circulation of the left hemisphere underlay a higher stroke severity exclusively in women. These sex-sensitive lesion pattern effects could be discovered and subsequently robustly replicated in two large independent, multisite lesion datasets. The constellation of findings has several important conceptual and clinical implications: 1) suggesting sex-specific functional cerebral asymmetries, and 2) motivating a sex-stratified approach to management of acute ischemic stroke. To go beyond sex-averaged stroke research, future studies should explicitly test whether acute therapies administered on the basis of sex-specific cutoff volumes of salvageable tissue will lead to improved outcomes in women after acute ischemic stroke.

Background and Purpose: The genetic contribution to ischemic stroke may include rare- or low-frequency variants of high-penetrance and large-effect sizes. Analyses focusing on early-onset disease, an extreme-phenotype, and on the exome, the protein-coding portion of genes, may increase the likelihood of identifying such rare functional variants. To evaluate this hypothesis, we implemented a 2-stage discovery and replication design, and then addressed whether the identified variants also associated with older-onset disease. Methods: Discovery was performed in UMD-GEOS Study (University of Maryland-Genetics of Early-Onset Stroke), a biracial population-based study of first-ever ischemic stroke cases 15 to 49 years of age (n=723) and nonstroke controls (n=726). All participants had prior GWAS (Genome Wide Association Study) and underwent Illumina exome-chip genotyping. Logistic-regression was performed to test single-variant associations with all-ischemic stroke and TOAST (Trial of ORG 10172 in Acute Stroke Treatment) subtypes in Whites and Blacks. Population level results were combined using meta-analysis. Gene-based aggregation testing and meta-analysis were performed using seqMeta. Covariates included age and gender, and principal-components for population structure. Pathway analyses were performed across all nominally associated genes for each stroke outcome. Replication was attempted through lookups in a previously reported meta-analysis of early-onset stroke and a large-scale stroke genetics study consisting of primarily older-onset cases. Results: Gene burden tests identified a significant association with NAT10 in small-vessel stroke ( P =3.79×10 − 6 ). Pathway analysis of the top 517 genes ( P P −7 ), several were near, including an intronic variant in LEXM (rs7549251; P =4.08×10 − 7 ) and an exonic variant in TRAPPC11 (rs67383011; P =5.19×10 − 6 ). Conclusions: Exome-based analysis in the setting of early-onset stroke is a promising strategy for identifying novel genetic risk variants, loci, and pathways.

Background and Purpose: Approximately 8% of Blacks have sickle cell trait (SCT), and there are conflicting reports from recent cohort studies on the association of SCT with ischemic stroke (IS). Most prior studies focused on older populations, with few data available in young adults. Methods: A population-based case-control study of early-onset IS was conducted in the Baltimore-Washington region between 1992 and 2007. From this study, 342 Black IS cases, ages 15 to 49, and 333 controls without IS were used to examine the association between SCT and IS. Each participant’s SCT status was established by genotyping and imputation. For analysis, χ 2 tests and logistic regression models were performed with adjustment for potential confounding variables. Results: Participants with SCT (n=55) did not differ from those without SCT (n=620) in prevalence of hypertension, previous myocardial infarction, diabetes mellitus, and current smoking status. Stroke cases had increased prevalence in these risk factors compared with controls. We did not find an association between SCT and early-onset IS in our overall population (odds ratio=0.9 [95% CI, 0.5–1.7]) or stratified by sex in males (odds ratio=1.26 [95% CI, 0.56–2.80]) and females (odds ratio=0.67 [95% CI, 0.28–1.69]). Conclusions: Our data did not find evidence of increased risk of early-onset stroke with SCT.

Background and Purpose— We sought to explore the effect of genetic imbalance on functional outcome after ischemic stroke (IS). Methods— Copy number variation was identified in high-density single-nucleotide polymorphism microarray data of IS patients from the CADISP (Cervical Artery Dissection and Ischemic Stroke Patients) and SiGN (Stroke Genetics Network)/GISCOME (Genetics of Ischaemic Stroke Functional Outcome) networks. Genetic imbalance, defined as total number of protein-coding genes affected by copy number variations in an individual, was compared between patients with favorable (modified Rankin Scale score of 0–2) and unfavorable (modified Rankin Scale score of ≥3) outcome after 3 months. Subgroup analyses were confined to patients with imbalance affecting ohnologs—a class of dose-sensitive genes, or to those with imbalance not affecting ohnologs. The association of imbalance with outcome was analyzed by logistic regression analysis, adjusted for age, sex, stroke subtype, stroke severity, and ancestry. Results— The study sample comprised 816 CADISP patients (age 44.2±10.3 years) and 2498 SiGN/GISCOME patients (age 67.7±14.2 years). Outcome was unfavorable in 122 CADISP and 889 SiGN/GISCOME patients. Multivariate logistic regression analysis revealed that increased genetic imbalance was associated with less favorable outcome in both samples (CADISP: P =0.0007; odds ratio=0.89; 95% CI, 0.82–0.95 and SiGN/GISCOME: P =0.0036; odds ratio=0.94; 95% CI, 0.91–0.98). The association was independent of age, sex, stroke severity on admission, stroke subtype, and ancestry. On subgroup analysis, imbalance affecting ohnologs was associated with outcome (CADISP: odds ratio=0.88; 95% CI, 0.80–0.95 and SiGN/GISCOME: odds ratio=0.93; 95% CI, 0.89–0.98) whereas imbalance without ohnologs lacked such an association. Conclusions— Increased genetic imbalance was associated with poorer functional outcome after IS in both study populations. Subgroup analysis revealed that this association was driven by presence of ohnologs in the respective copy number variations, suggesting a causal role of the deleterious effects of genetic imbalance.

Global outcome measures that are widely used in stroke clinical trials, such as the modified Rankin Scale (mRS), lack sufficient detail to detect changes within specific domains (e.g., sensory, motor, visual, linguistic, or cognitive function). Yet such data are vital for understanding stroke recovery and its mechanisms. Poststroke deficits in specific domains differ in their rate and degree of recovery and in their effects on overall independence and quality of life. For example, even in a patient with complete recovery of strength, persistent deficits in the nonmotor domains such as language and cognition may make a return to independent living impossible. In such cases, global measures based solely on the patient's degree of independence would overlook a complete recovery in the motor domain. Capturing these important aspects of recovery demands a domain-specific approach. If stroke outcomes trials are to incorporate finer-grained recovery metrics—which can require substantial time, effort, and expertise to implement—efficiency must be a priority. In this article, we discuss how commonly collected clinical data from the NIH Stroke Scale can guide the judicious selection of relevant recovery domains for more detailed testing. Our overarching goal is to make the implementation of domain-specific testing more feasible for large-scale clinical trials on stroke recovery.