Long-Term Outcomes in Patients With Spontaneous Cerebellar Hemorrhage: An International Cohort Study.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) in the cerebellum has a poor short-term prognosis, whereas data on the long-term case fatality and recurrent vascular events are sparse. Herewith, we aimed to assess the long-term case fatality and recurrence rate of vascular events after a first cerebellar ICH. METHODS: In this international cohort study, we included patients from 10 hospitals (the United States and Europe from 1997 to 2017) aged ≥18 years with a first spontaneous cerebellar ICH who were discharged alive. Data on long-term case fatality and recurrence of vascular events (recurrent ICH [supratentoria or infratentorial], ischemic stroke, myocardial infarction, or major vascular surgery) were collected for survival analysis and absolute event rate calculation. RESULTS: We included 405 patients with cerebellar ICH (mean age [SD], 72 [13] years, 49% female). The median survival time was 67 months (interquartile range, 23-100 months), with a cumulative survival rate of 34% at 10-year follow-up (median follow-up time per center ranged: 15-80 months). In the 347 patients with data on vascular events 92 events occurred in 78 patients, after initial cerebellar ICH: 31 (8.9%) patients had a recurrent ICH (absolute event rate, 1.8 per 100 patient-years [95% CI, 1.2-2.6]), 39 (11%) had an ischemic stroke (absolute event rate, 2.3 [95% CI, 1.6-3.2]), 13 (3.7%) had a myocardial infarction (absolute event rate, 0.8 [95% CI, 0.4-1.3]), and 5 (1.4%) underwent major vascular surgery (absolute event rate, 0.3 [95% CI, 0.1-0.7]). The median time to a first vascular event during follow-up was 27 months (interquartile range, 8.7-50 months), with a cumulative hazard of 47% at 10 years. CONCLUSIONS: The long-term prognosis of patients who survive a first spontaneous cerebellar ICH is poor and comparable to that of patients who survive a first supratentorial ICH. Further identification of patients at high risk of vascular events following the initial cerebellar ICH is needed. Including patients with cerebellar ICH in randomized controlled trials on secondary prevention of patients with ICH is warranted.

Proteogenomic Data Integration Reveals CXCL10 as a Potentially Downstream Causal Mediator for IL-6 Signaling on Atherosclerosis.

BACKGROUND: Genetic and experimental studies support a causal involvement of IL-6 (interleukin-6) signaling in atheroprogression. Although trials targeting IL-6 signaling are underway, any benefits must be balanced against an impaired host immune response. Dissecting the mechanisms that mediate the effects of IL-6 signaling on atherosclerosis could offer insights about novel drug targets with more specific effects. METHODS: Leveraging data from 522 681 individuals, we constructed a genetic instrument of 26 variants in the gene encoding the IL-6R (IL-6 receptor) that proxied for pharmacological IL-6R inhibition. Using Mendelian randomization, we assessed its effects on 3281 plasma proteins quantified with an aptamer-based assay in the INTERVAL cohort (n=3301). Using mediation Mendelian randomization, we explored proteomic mediators of the effects of genetically proxied IL-6 signaling on coronary artery disease, large artery atherosclerotic stroke, and peripheral artery disease. For significant mediators, we tested associations of their circulating levels with incident cardiovascular events in a population-based study (n=1704) and explored the histological, transcriptomic, and cellular phenotypes correlated with their expression levels in samples from human atherosclerotic lesions. RESULTS: We found significant effects of genetically proxied IL-6 signaling on 70 circulating proteins involved in cytokine production/regulation and immune cell recruitment/differentiation, which correlated with the proteomic effects of pharmacological IL-6R inhibition in a clinical trial. Among the 70 significant proteins, genetically proxied circulating levels of CXCL10 (C-X-C motif chemokine ligand 10) were associated with risk of coronary artery disease, large artery atherosclerotic stroke, and peripheral artery disease, with up to 67% of the effects of genetically downregulated IL-6 signaling on these end points mediated by decreases in CXCL10. Higher midlife circulating CXCL10 levels were associated with a larger number of cardiovascular events over 20 years, whereas higher CXCL10 expression in human atherosclerotic lesions correlated with a larger lipid core and a transcriptomic profile reflecting immune cell infiltration, adaptive immune system activation, and cytokine signaling. CONCLUSIONS: Integrating multiomics data, we found a proteomic signature of IL-6 signaling activation and mediators of its effects on cardiovascular disease. Our analyses suggest the interferon-γ-inducible chemokine CXCL10 to be a potentially causal mediator for atherosclerosis in 3 vascular compartments and, as such, could serve as a promising drug target for atheroprotection.

Brain health scores to predict neurological outcomes from electronic health records.

BACKGROUND: Preserving brain health is a critical priority in primary care, yet screening for these risk factors in face-to-face primary care visits is challenging to scale to large populations. We aimed to develop automated brain health risk scores calculated from data in the electronic health record (EHR) enabling population-wide brain health screening in advance of patient care visits. METHODS: This retrospective cohort study included patients with visits to an outpatient neurology clinic at Massachusetts General Hospital, between January 2010 and March 2021. Survival analysis with an 11-year follow-up period was performed to predict the risk of intracranial hemorrhage, ischemic stroke, depression, death and composite outcome of dementia, Alzheimer's disease, and mild cognitive impairment. Variables included age, sex, vital signs, laboratory values, employment status and social covariates pertaining to marital, tobacco and alcohol status. Random sampling was performed to create a training (70%) set for hyperparameter tuning in internal 5-fold cross validation and an external hold-out testing (30%) set of patients, both stratified by age. Risk ratios for high and low risk groups were evaluated in the hold-out test set, using 1000 bootstrapping iterations to calculate 95% confidence intervals (CI). RESULTS: The cohort comprised 17,040 patients with an average age of 49 ± 15.6 years; majority were males (57 %), White (78 %) and non-Hispanic (80 %). The low and high groups average risk ratios [95 % CI] were: intracranial hemorrhage 0.46 [0.45-0.48] and 2.07 [1.95-2.20], ischemic stroke 0.57 [0.57-0.59] and 1.64 [1.52-1.69], depression 0.68 [0.39-0.74] and 1.29 [0.78-1.38], composite of dementia 0.27 [0.26-0.28] and 3.52 [3.18-3.81] and death 0.24 [0.24-0.24] and 3.96 [3.91-4.00]. CONCLUSIONS: Simple risk scores derived from routinely collected EHR accurately quantify the risk of developing common neurologic and psychiatric diseases. These scores can be computed automatically, prior to medical care visits, and may thus be useful for large-scale brain health screening.

Prevalence and Therapeutic Implications of Clonal Hematopoiesis of Indeterminate Potential in Young Patients With Stroke.

BACKGROUND: Undetermined stroke etiology hampers optimal secondary prevention in a large proportion of young patients. We explored whether genetic screening for clonal hematopoiesis of indetermined potential (CHIP), a novel risk factor for stroke, could identify patients with myeloid precursor lesions or covert myeloid neoplasm requiring specific treatment. METHODS: We performed targeted sequencing on 56 genes recurrently mutated in hematologic neoplasms in a prospective cohort of patients with acute brain ischemia between 18 and 60 years. CHIP prevalence was compared with age-matched healthy controls from the Nijmegen Biomedical Study (n=1604) and the UK Biobank (n=101 678). Patients with suspicion of high-risk CHIP or myeloid neoplasm were invited for further hematologic evaluation. RESULTS: We included 248 consecutive patients (39% women) of whom 176 (71%) had cryptogenic stroke etiology. Fifty-one (21%) patients had CHIP, 3-fold more than in the general population (7.7% versus 2.6% for the Nijmegen Biomedical Study and 11.9% versus 4.1% for UK Biobank; P<0.001 for both). Patients with CHIP were older (median [interquartile range], 53 [50-59] versus 51 [41-56] years; P<0.001), had higher carotid intima-media thickness (0.68 [0.58-0.80] versus 0.59 [0.51-0.73] mm; P=0.009), and had higher burden of atherosclerosis (29.4% versus 16.7%; P=0.04). We invited 11 patients (4.4%) for further hematologic assessment, which in 7 led to the diagnosis of high-risk CHIP and in 2 to the new diagnosis of a myeloproliferative neoplasm with indication for cytoreductive therapy. CONCLUSIONS: Using genetic screening for myeloid disorders in patients with stroke of predominantly undetermined etiology, we found a 3-fold higher CHIP prevalence than in the general population. We identified high-risk CHIP and previously covert myeloproliferative neoplasms as potential stroke etiologies in 4.4% and 1% of patients, respectively. Our findings demonstrate the diagnostic and therapeutic yield of genetic screening in young patients with stroke. Future studies should investigate the role of CHIP for stroke recurrence and optimal secondary prevention.

Sex Differences in Onset and Progression of Cerebral Amyloid Angiopathy.

BACKGROUND: Cerebral Amyloid Angiopathy (CAA) disease course is highly variable even in hereditary forms. Sex may be a possible modifying factor. We investigated biological sex differences in clinical disease course and magnetic resonance imaging-markers in sporadic (sCAA) and Dutch-type hereditary CAA (D-CAA). METHODS: Patients with D-CAA and sCAA were included from hospital and research databases of the Leiden University Medical Center (2012-2020) and Massachusetts General Hospital (1994-2012). Key outcomes were: sex differences in symptomatic intracerebral hemorrhage (sICH) onset, recurrence and survival (analyzed using Kaplan Meier survival and regression analyses), and sex differences in magnetic resonance imaging-markers in D-CAA (explored using scatterplots), and in sCAA (investigated using regression analysis). RESULTS: We included 136 patients with D-CAA (mean age 57 years, 56% women, 64% with previous sICH) and 370 patients with sCAA (mean age 76 years, 51% women, all with previous sICH). Men and women with D-CAA did not differ for sICH onset (median age 54 in men and 56 in women [P=0.13]). Men with D-CAA had a slightly higher number of sICH compared with women (median 2 versus 1; adjusted RR, 1.5 [95% CI, 1.1-1.9]) and a shorter interval between the first and second sICH (median 1.8 years for men and 3.1 years for women, P=0.02). Men with sCAA had their first sICH at an earlier age (median 75 versus 78 years, respectively, P=0.003) and more lobar microbleeds (median 1 versus 0, P=0.022) compared with women with sCAA. No substantial differences were found in the other magnetic resonance imaging markers. Survival after first sICH was comparable between sexes for D-CAA (P=0.12) and sCAA (P=0.23). CONCLUSIONS: Men with CAA seem to have an earlier onset (sCAA) and more hemorrhagic disease course (sCAA and D-CAA) compared with women. Future studies are necessary to confirm these findings and determine the underlying role of sex-related factors.

Radiomics-Derived Brain Age Predicts Functional Outcome After Acute Ischemic Stroke.

BACKGROUND AND OBJECTIVES: While chronological age is one of the most influential determinants of poststroke outcomes, little is known of the impact of neuroimaging-derived biological "brain age." We hypothesized that radiomics analyses of T2-FLAIR images texture would provide brain age estimates and that advanced brain age of patients with stroke will be associated with cardiovascular risk factors and worse functional outcomes. METHODS: We extracted radiomics from T2-FLAIR images acquired during acute stroke clinical evaluation. Brain age was determined from brain parenchyma radiomics using an ElasticNet linear regression model. Subsequently, relative brain age (RBA), which expresses brain age in comparison with chronological age-matched peers, was estimated. Finally, we built a linear regression model of RBA using clinical cardiovascular characteristics as inputs and a logistic regression model of favorable functional outcomes taking RBA as input. RESULTS: We reviewed 4,163 patients from a large multisite ischemic stroke cohort (mean age = 62.8 years, 42.0% female patients). T2-FLAIR radiomics predicted chronological ages (mean absolute error = 6.9 years, r = 0.81). After adjustment for covariates, RBA was higher and therefore described older-appearing brains in patients with hypertension, diabetes mellitus, a history of smoking, and a history of a prior stroke. In multivariate analyses, age, RBA, NIHSS, and a history of prior stroke were all significantly associated with functional outcome (respective adjusted odds ratios: 0.58, 0.76, 0.48, 0.55; all p-values < 0.001). Moreover, the negative effect of RBA on outcome was especially pronounced in minor strokes. DISCUSSION: T2-FLAIR radiomics can be used to predict brain age and derive RBA. Older-appearing brains, characterized by a higher RBA, reflect cardiovascular risk factor accumulation and are linked to worse outcomes after stroke.

The Recovering Together study protocol: A single-blind RCT to prevent chronic emotional distress in patient-cargiver dyads in the Neuro-ICU.

INTRODUCTION: Patients admitted to the Neuroscience Intensive Care Unit (Neuro-ICU) with acute neurological illnesses (ANI; e.g., stroke, tumor, TBI) and their informal caregivers experience high rates of anxiety, depression, and posttraumatic stress. To address this need, we previously developed the Recovering Together (RT) dyadic intervention to help prevent chronic emotional distress in both patients and caregivers. Currently, we are conducting a fully-powered, single-blind randomized clinical trial (RCT) to evaluate the efficacy of RT versus an attention matched health education control. Here, we describe the protocol and current status of this RCT. METHODS: We aim to recruit 194 at risk patient-caregiver dyads from the Neuro-ICU at MGH. Eligible dyads include patients diagnosed with ANI, cognitively intact, at least one partner endorses emotional distress (on Hospital Anxiety and Depression Scale), English speaking, age 18 or older. Dyads are randomized to the intervention (RT-1) or control condition (RT-2) (both six sessions). RT-1 teaches resiliency (e.g., coping, mindfulness) and interpersonal skills. RT-2 provides education on health-related topics (e.g., stress, self-care, adhering to medical recommendations). Blinded research assistants collect measures at baseline, post-intervention, and three months follow-up. We will conduct mixed linear, mediation, and actor-partner interdependence models to examine changes in dyads' outcomes across time. RESULTS: We have recruited 41 dyads and aim to recruit 194 total. DISCUSSION: If successful, we plan to test RT in a large-scale, multisite hybrid effectiveness-implementation study in Neuro-ICUs across the country. Enhancing psychosocial supports for patients and families could improve health outcomes, healthcare efficiency, and the culture of these units.

Clinical and neuroimaging risk factors associated with the development of intracerebral hemorrhage while taking direct oral anticoagulants.

BACKGROUND AND AIMS: Intracerebral hemorrhage (ICH) associated with direct oral anticoagulant (DOAC) usage confers significant mortality/disability. We aimed to understand the clinical and neuroimaging features associated with developing ICH among DOAC users. METHODS: Clinical and radiological data were collected from consecutive DOAC users with ICH (DOAC-ICH) and age-matched controls without ICH from a single referral center. The frequency/distribution of MRI markers of hemorrhage risk were assessed. Baseline demographics and neuroimaging markers were compared in univariate tests. Significant associations (p < 0.1) were entered into a multivariable regression model to determine predictors of ICH. RESULTS: 86 DOAC-ICH and 94 ICH-free patients were included. Diabetes, coronary artery disease, prior ischemic stroke, smoking history, and antiplatelet usage were more common in ICH patients than ICH-free DOAC users. In the neuroimaging analyses, severe white matter hyperintensities (WMHs), lacunes, cortical superficial siderosis (cSS), and cerebral microbleeds (CMBs) were more common in the ICH cohort than the ICH-free cohort. In the multivariable regression, diabetes [OR 3.53 95% CI (1.05-11.87)], prior ischemic stroke [OR 14.80 95% CI (3.33-65.77)], smoking history [OR 3.08 95% CI (1.05-9.01)], CMBs [OR 4.07 95% CI (1.45-11.39)], and cSS [OR 39.73 95% CI (3.43-460.24)] were independently associated with ICH. CONCLUSIONS: Risk factors including diabetes, prior stroke, and smoking history as well as MRI biomarkers including CMBs and cSS are associated with ICH in DOAC users. Although screening MRIs are not typically performed prior to initiating DOAC therapy, these data suggest that patients of high-hemorrhagic risk may be identified.

Understanding the interplay between lifestyle factors and emotional distress for hemorrhagic stroke survivors and their informal caregivers: Protocol for a mixed methods dyadic natural history study.

Emotional distress (depression, anxiety, and PTS) and unhealthy lifestyle factors (e.g., smoking, alcohol consumption, poor diet, limited physical activity, medication adherence) are common in hemorrhagic stroke (HS) survivors and may increase risk for recurrence, morbidity, and mortality. Emotional distress and unhealthy lifestyle factors tend to be interdependent between survivors and their informal caregivers (e.g., family and friends who provide unpaid care; together called dyads), such that one partner's lifestyle and coping behaviors influence the other's behaviors, yet no research has closely examined this relationship in HS dyads over time. We will conduct a mixed methods study to quantitatively and qualitatively understand the longitudinal relationship between emotional distress and lifestyle factors across time in this population (HS dyads) to identify treatment targets to prevent emotional distress chronicity and stroke recurrence. In aim 1, we will assess emotional distress (i.e., depression, anxiety, and PTS) and lifestyle factors (smoking, alcohol consumption, poor diet, limited physical activity medication adherence/blood pressure control) in dyads of survivors of HS and their caregivers (N = 80), at three separate time points (hospitalization in the Neuro-ICU, 1, and 3 months later). We hypothesize that 1) lifestyle factors and emotional distress will be interrelated within and across time for both survivors and caregivers, and 2) lifestyle factors and emotional distress will be interdependent between survivors and caregivers. We also aim to explore the nuanced interplay between lifestyle factors and emotional distress and gain in depth information on barriers and facilitators for a dyadic intervention to optimize lifestyle behaviors and emotional functioning in HS dyads. Eligible patients will be adults who have a caregiver also willing to participate. Patients will be referred for study participation by the nursing team who will ensure that they are cognitively able to meaningfully participate. Multilevel dyadic modeling (i.e., actor-partner interdependence model; APIM) with distinguishable dyads will be used to determine influences of these factors onto each other over time. In Aim 2, we will conduct live video qualitative dyadic interviews (N = 20 or until theme saturation) at all time points from the same participants with and without emotional distress and at least one lifestyle risk factor, to understand the nuanced relationships between emotional distress and lifestyle behaviors, and barriers and facilitators to engagement in a skills-based psychosocial intervention. Interviews will be analyzed using inductive and deductive approaches. The present study is currently ongoing. So far, we enrolled 2 participants. Recruitment will end October 2022 with plans to analyze data by December 2022. The findings from this study will be used to further develop psychosocial interventions and inform novel treatments for survivors of HS and their informal caregivers.

Effect of vascular amyloid on white matter disease is mediated by vascular dysfunction in cerebral amyloid angiopathy.

We postulated that vascular dysfunction mediates the relationship between amyloid load and white matter hyperintensities (WMH) in cerebral amyloid angiopathy (CAA). Thirty-eight cognitively healthy patients with CAA (mean age 70 ± 7.1) were evaluated. WMH was quantified and expressed as percent of total intracranial volume (pWMH) using structural MRI. Mean global cortical Distribution Volume Ratio representing Pittsburgh Compound B (PiB) uptake (PiB-DVR) was calculated from PET scans. Time-to-peak [TTP] of blood oxygen level-dependent response to visual stimulation was used as an fMRI measure of vascular dysfunction. Higher PiB-DVR correlated with prolonged TTP (r = 0.373, p = 0.021) and higher pWMH (r = 0.337, p = 0.039). Prolonged TTP also correlated with higher pWMH (r = 0.485, p = 0.002). In a multivariate linear regression model, TTP remained independently associated with pWMH (p = 0.006) while PiB-DVR did not (p = 0.225). In a bootstrapping model, TTP had a significant indirect effect (ab = 0.97, 95% CI: 0.137-2.461), supporting that the association between PiB-DVR and pWMH is mediated by TTP response. There was no longer a direct effect independent of the hypothesized pathway. Our study suggests that the effect of vascular amyloid load on white matter disease is mediated by vascular dysfunction in CAA. Amyloid lowering strategies might prevent pathophysiological processes leading to vascular dysfunction, therefore limiting ischemic brain injury.

Cerebral Microbleeds and Acute Hematoma Characteristics in the ATACH-2 and MISTIE III Trials.

BACKGROUND AND OBJECTIVES: To study the relationship between the presence of cerebral microbleeds (CMBs) and acute hematoma characteristics among patients with primary intracerebral hemorrhage (ICH). METHODS: We pooled individual patient data from the Antihypertensive Treatment of Acute Cerebral Hemorrhage 2 (ATACH-2) trial and the Minimally Invasive Surgery Plus Alteplase for Intracerebral Hemorrhage Evacuation phase 3 (MISTIE III) trial. We included individuals with a brain MRI scan. Exposure was the presence of a CMB. The coprimary outcomes were admission ICH volume and hematoma expansion. Mixed-effects linear and logistic regression models were used, with demographics and comorbid conditions considered fixed effects and the study cohort treated as a random effect. Additional analyses assessed the relationship between CMB topography and number and hematoma characteristics. RESULTS: Of the 1,499 patients with ICH enrolled in the parent trials, 466 (31.1%) were included in this analysis, and 231 (49.6%) patients had CMBs. In adjusted models, presence of CMBs was associated with smaller ICH volume (ß = -0.26, 95% confidence interval [CI] -0.44 to -0.08) and lower odds of hematoma expansion (odds ratio 0.65, 95% CI 0.40-0.95; p = 0.04). The strength of association between CMBs and hematoma characteristics increased with increasing number of CMBs. The location of the CMBs and the severity of leukoaraiosis did not modify these results. DISCUSSION: In a pooled cohort of patients with ICH, our results are consistent with the hypothesis that more severe underlying small vessel disease, as represented by CMBs, leads to smaller baseline hematoma volumes and reduced hematoma expansion. Underlying cerebral small vessel disease may be of prognostic significance after ICH. TRIAL REGISTRATION INFORMATION: ClinicalTrials.gov Identifier: NCT01176565 and NCT01827046. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that the presence of microbleeds on MRI is associated with a smaller ICH volume at presentation and a lower rate of hematoma expansion on follow-up imaging.

Excessive White Matter Hyperintensity Increases Susceptibility to Poor Functional Outcomes After Acute Ischemic Stroke.

Objective: To personalize the prognostication of post-stroke outcome using MRI-detected cerebrovascular pathology, we sought to investigate the association between the excessive white matter hyperintensity (WMH) burden unaccounted for by the traditional stroke risk profile of individual patients and their long-term functional outcomes after a stroke. Methods: We included 890 patients who survived after an acute ischemic stroke from the MRI-Genetics Interface Exploration (MRI-GENIE) study, for whom data on vascular risk factors (VRFs), including age, sex, atrial fibrillation, diabetes mellitus, hypertension, coronary artery disease, smoking, prior stroke history, as well as acute stroke severity, 3- to-6-month modified Rankin Scale score (mRS), WMH, and brain volumes, were available. We defined the unaccounted WMH (uWMH) burden via modeling of expected WMH burden based on the VRF profile of each individual patient. The association of uWMH and mRS score was analyzed by linear regression analysis. The odds ratios of patients who achieved full functional independence (mRS < 2) in between trichotomized uWMH burden groups were calculated by pair-wise comparisons. Results: The expected WMH volume was estimated with respect to known VRFs. The uWMH burden was associated with a long-term functional outcome (ß = 0.104, p < 0.01). Excessive uWMH burden significantly reduced the odds of achieving full functional independence after a stroke compared to the low and average uWMH burden [OR = 0.4, 95% CI: (0.25, 0.63), p < 0.01 and OR = 0.61, 95% CI: (0.42, 0.87), p < 0.01, respectively]. Conclusion: The excessive amount of uWMH burden unaccounted for by the traditional VRF profile was associated with worse post-stroke functional outcomes. Further studies are needed to evaluate a lifetime brain injury reflected in WMH unrelated to the VRF profile of a patient as an important factor for stroke recovery and a plausible indicator of brain health.

MRI Radiomic Signature of White Matter Hyperintensities Is Associated With Clinical Phenotypes.

OBJECTIVE: Neuroimaging measurements of brain structural integrity are thought to be surrogates for brain health, but precise assessments require dedicated advanced image acquisitions. By means of quantitatively describing conventional images, radiomic analyses hold potential for evaluating brain health. We sought to: (1) evaluate radiomics to assess brain structural integrity by predicting white matter hyperintensities burdens (WMH) and (2) uncover associations between predictive radiomic features and clinical phenotypes. METHODS: We analyzed a multi-site cohort of 4,163 acute ischemic strokes (AIS) patients with T2-FLAIR MR images with total brain and WMH segmentations. 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 stable selected features predictive of WMH burden and then related this signature to clinical variables using canonical correlation analysis (CCA). RESULTS: Radiomic features were predictive of WMH burden (R 2 = 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-values CV 1 - 6 < 0.001, p-value CV 7 = 0.012). The clinical CV1 was mainly influenced by age, CV2 by sex, CV3 by history of smoking and diabetes, CV4 by hypertension, CV5 by atrial fibrillation (AF) and diabetes, CV6 by coronary artery disease (CAD), and CV7 by CAD and diabetes. CONCLUSION: Radiomics extracted from T2-FLAIR images of AIS patients capture microstructural damage of the cerebral parenchyma and correlate with clinical phenotypes, suggesting different radiographical textural abnormalities per cardiovascular risk profile. Further research could evaluate radiomics to predict the progression of WMH and for the follow-up of stroke patients' brain health.

Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies.

BACKGROUND: The genetic basis of lacunar stroke is poorly understood, with a single locus on 16q24 identified to date. We sought to identify novel associations and provide mechanistic insights into the disease. METHODS: We did a pooled analysis of data from newly recruited patients with an MRI-confirmed diagnosis of lacunar stroke and existing genome-wide association studies (GWAS). Patients were recruited from hospitals in the UK as part of the UK DNA Lacunar Stroke studies 1 and 2 and from collaborators within the International Stroke Genetics Consortium. Cases and controls were stratified by ancestry and two meta-analyses were done: a European ancestry analysis, and a transethnic analysis that included all ancestry groups. We also did a multi-trait analysis of GWAS, in a joint analysis with a study of cerebral white matter hyperintensities (an aetiologically related radiological trait), to find additional genetic associations. We did a transcriptome-wide association study (TWAS) to detect genes for which expression is associated with lacunar stroke; identified significantly enriched pathways using multi-marker analysis of genomic annotation; and evaluated cardiovascular risk factors causally associated with the disease using mendelian randomisation. FINDINGS: Our meta-analysis comprised studies from Europe, the USA, and Australia, including 7338 cases and 254 798 controls, of which 2987 cases (matched with 29 540 controls) were confirmed using MRI. Five loci (ICA1L-WDR12-CARF-NBEAL1, ULK4, SPI1-SLC39A13-PSMC3-RAPSN, ZCCHC14, ZBTB14-EPB41L3) were found to be associated with lacunar stroke in the European or transethnic meta-analyses. A further seven loci (SLC25A44-PMF1-BGLAP, LOX-ZNF474-LOC100505841, FOXF2-FOXQ1, VTA1-GPR126, SH3PXD2A, HTRA1-ARMS2, COL4A2) were found to be associated in the multi-trait analysis with cerebral white matter hyperintensities (n=42 310). Two of the identified loci contain genes (COL4A2 and HTRA1) that are involved in monogenic lacunar stroke. The TWAS identified associations between the expression of six genes (SCL25A44, ULK4, CARF, FAM117B, ICA1L, NBEAL1) and lacunar stroke. Pathway analyses implicated disruption of the extracellular matrix, phosphatidylinositol 5 phosphate binding, and roundabout binding (false discovery rate <0·05). Mendelian randomisation analyses identified positive associations of elevated blood pressure, history of smoking, and type 2 diabetes with lacunar stroke. INTERPRETATION: Lacunar stroke has a substantial heritable component, with 12 loci now identified that could represent future treatment targets. These loci provide insights into lacunar stroke pathogenesis, highlighting disruption of the vascular extracellular matrix (COL4A2, LOX, SH3PXD2A, GPR126, HTRA1), pericyte differentiation (FOXF2, GPR126), TGF-ß signalling (HTRA1), and myelination (ULK4, GPR126) in disease risk. FUNDING: British Heart Foundation.

Feasibility and Efficacy of a Resiliency Intervention for the Prevention of Chronic Emotional Distress Among Survivor-Caregiver Dyads Admitted to the Neuroscience Intensive Care Unit: A Randomized Clinical Trial.

Importance: To our knowledge, there are no evidence-based interventions to prevent chronic emotional distress (ie, depression, anxiety, and posttraumatic stress [PTS]) in critical care survivors and their informal caregivers. Objective: To determine the feasibility and preliminary effect of the novel dyadic resiliency intervention Recovering Together (RT) on reducing symptoms of depression, anxiety, and PTS among hospitalized patients and their informal caregivers. Design, Setting, and Participants: This single-blind, pilot randomized clinical trial of RT vs an educational control was conducted among 58 dyads in which either the survivor or caregiver endorsed clinically significant symptoms of depression, anxiety, or PTS. The study was conducted in the neuroscience intensive care unit at Massachusetts General Hospital. Data were collected from September 2019 to March 2020. Interventions: Both RT and control programs had 6 sessions (2 at bedside and 4 via live video after discharge), and both survivor and caregiver participated together. Main Outcomes and Measures: The primary outcomes were feasibility of recruitment and intervention delivery, credibility, and satisfaction. The secondary outcomes included depression and anxiety (measured by the Hospital Depression and Anxiety Scale), PTS (measured by the PTSD Checklist-Civilian Version), and intervention targets (ie, mindfulness, measured by the Cognitive and Affective Mindfulness Scale-Revised; coping, measured by the Measure of Current Status-Part A; and dyadic interpersonal interactions, measured by the Dyadic Relationship Scale). Main outcomes and targets were assessed at baseline, 6 weeks, and 12 weeks. Results: The 58 dyads were randomized to RT (29 dyads [50.0%]; survivors: mean [SD] age, 49.3 [16.7] years; 9 [31.0%] women; caregivers: mean [SD] age, 52.4 [14.3] years; 22 [75.9%] women) or control (29 dyads [50.0%]; survivors: mean [SD] age, 50.3 [16.4] years; 12 [41.3%] women; caregivers, mean [SD] age, 52.1 [14.9], 17 [58.6%] women). Feasibility (recruitment [76%], randomization [100%], and data collection [83%-100%]), adherence (86%), fidelity (100%; κ = 0.98), satisfaction (RT: 57 of 58 [98%] with scores >6; control: 58 of 58 [100%] with scores >6), credibility (RT: 47 of 58 [81%] with scores >6; control: 46 of 58 [80%] with scores >6), and expectancy (RT: 49 of 58 [85%] with scores >13.5; 51 of 58 [87%] with scores >13.5) exceeded benchmarks set a priori. Participation in RT was associated with statistically and clinically significant improvement between baseline and postintervention in symptoms of depression (among survivors: -4.0 vs -0.6; difference, -3.4; 95% CI, -5.6 to -1.3; P = .002; among caregivers: -3.8 vs 0.6; difference, -4.5; 95% CI, -6.7 to -2.3; P < .001), anxiety (among survivors: -6.0 vs 0.3; difference, -6.3; 95% CI, -8.8 to -3.8; P < .001; among caregivers: -5.0 vs -0.9; difference, -4.1; 95% CI, -6.7 to -1.5, P = .002), and PTS (among survivors: -11.3 vs 1.0; difference, -12.3; 95% CI, -18.1 to -6.5, P < .001; among caregivers, -11.4 vs 5.0; difference, -16.4, 95% CI, -21.8 to -10.9; P < .001). Improvements sustained through the 12-week follow-up visit. We also observed RT-dependent improvement in dyadic interpersonal interactions for survivors (0.2 vs -0.2; difference, 0.4; 95% CI, 0.0 to 0.8; P = .04). Conclusions and Relevance: In this pilot randomized clinical trial, RT was feasible and potentially efficacious in preventing chronic emotional distress in dyads of survivors of the neuroscience intensive care unit and their informal caregivers. Trial Registration: ClinicalTrials.gov Identifier: NCT03694678.

A Pooled Analysis of Diffusion-Weighted Imaging Lesions in Patients With Acute Intracerebral Hemorrhage.

Importance: The etiology and significance of diffusion-weighted imaging (DWI) lesions in patients with acute intracerebral hemorrhage (ICH) remain unclear. Objective: To evaluate which factors are associated with DWI lesions, whether associated factors differ by ICH location, and whether DWI lesions are associated with functional outcomes. Design, Setting, and Participants: This analysis pooled individual patient data from 3 randomized clinical trials (Minimally Invasive Surgery Plus Alteplase for Intracerebral Hemorrhage Evacuation phase 3 trial, Antihypertensive Treatment of Acute Cerebral Hemorrhage trial, and Intracerebral Hemorrhage Deferoxamine phase 2 trial) and 1 multicenter prospective study (Ethnic/Racial Variations of Intracerebral Hemorrhage). Patients were enrolled from August 1, 2010, to September 30, 2018. Of the 4782 patients, 1788 who underwent magnetic resonance imaging scans of the brain were included. Data were analyzed from July 1 to December 31, 2019. Main Outcomes and Measures: The primary outcome consisted of factors associated with DWI lesions. Secondary outcomes were poor functional outcome, defined as a modified Rankin score (mRS) of 4 to 6, and mortality, both assessed at 3 months. Mixed-effects logistic regression was used to evaluate the association between exposures and outcomes. Subgroup analyses stratified by hematoma location were performed. Results: After exclusion of 36 patients with missing data on DWI lesions, 1752 patients were included in the analysis (1019 men [58.2%]; mean [SD] age, 60.8 [13.3] years). Diffusion-weighted imaging lesions occurred in 549 patients (31.3%). In mixed-effects regression models, factors associated with DWI lesions included younger age (odds ratio [OR] per year, 0.98; 95% CI, 0.97-0.99), black race (OR, 1.64; 95% CI, 1.17-2.30), admission systolic blood pressure (OR per 10-mm Hg increase, 1.13; 95% CI, 1.08-1.18), baseline hematoma volume (OR per 10-mL increase, 1.12; 95% CI, 1.02-1.22), cerebral microbleeds (OR, 1.85; 95% CI, 1.39-2.46), and leukoaraiosis (OR, 1.59; 95% CI, 1.67-2.17). Diffusion-weighted imaging lesions were independently associated with poor mRS (OR, 1.50; 95% CI, 1.13-2.00), but not with mortality (OR, 1.11; 95% CI, 0.72-1.71). In subgroup analyses, similar factors were associated with DWI lesions in lobar and deep ICH. Diffusion-weighted imaging lesions were associated with poor mRS in deep but not lobar ICH. Conclusions and Relevance: In a large, heterogeneous cohort of prospectively identified patients with ICH, results were consistent with the hypothesis that DWI lesions represent acute sequelae of chronic cerebral small vessel disease, particularly hypertensive vasculopathy. Diffusion-weighted imaging lesions portend a worse prognosis after ICH, mainly deep hemorrhages.

White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype.

OBJECTIVE: To 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). METHODS: For 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. RESULTS: Patients 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). CONCLUSION: In 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.

Brain Volume: An Important Determinant of Functional Outcome After Acute 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 (ß -0.3 [per 14.4 years]), male sex (ß 1.0), and prior stroke (ß -0.2). In the multivariable outcome model, brain volume was an independent predictor of modified Rankin Scale score (ß -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.

Baseline Resilience and Posttraumatic Symptoms in Dyads of Neurocritical Patients and Their Informal Caregivers: A Prospective Dyadic Analysis.

BACKGROUND: Admission to a neuroscience intensive care unit (Neuro-ICU) is sudden and often traumatic for both patients and their informal caregivers. No prior studies have assessed prospectively risk and resiliency factors for chronic posttraumatic symptoms, as well as the potential interdependence between patients' and caregivers' symptoms over time. OBJECTIVE: To analyze the impact of baseline resiliency factors on symptoms of posttraumatic stress (PTS) longitudinally in dyads of patients admitted to the Neuro-ICU and their primary family caregivers. METHODS: We recruited dyads (M = 108) of patients admitted to the Neuro-ICU (total N = 102) and their family caregivers (total N = 103). Dyads completed self-report assessments of PTS and resiliency factors (mindfulness and coping) at baseline in the Neuro-ICU. PTS was measured again at 3- and 6-month follow-up. RESULTS: Clinically significant PTS symptoms were high at baseline in both patients (20%) and caregivers (16%) and remained high through 6 months (25% in patients; 14% in caregivers). Actor-partner interdependence modeling demonstrated that severity of PTS symptoms was predictive of PTS symptoms at subsequent time points (P < 0.001). High baseline mindfulness and coping predicted less severe PTS symptoms in patients and caregivers (P < 0.001) at all time points. Own degree of PTS symptoms at 3 months predicted worse PTS symptoms in one's partner at 6 months, for both patients and caregivers (P = 0.02). CONCLUSIONS: Findings highlight the need to prioritize assessment and treatment of PTS in Neuro-ICU patients and their informal caregivers through a dyadic approach.

Baseline resilience and depression symptoms predict trajectory of depression in dyads of patients and their informal caregivers following discharge from the Neuro-ICU.

OBJECTIVE: To explore the impact of resiliency factors on the longitudinal trajectory of depressive symptoms in patients admitted to the Neuroscience Intensive Care Unit (Neuro-ICU) and their family caregivers. MATERIALS AND METHODS: Patients (N = 102) and family caregivers (N = 103) completed self-report assessments of depressive symptoms (depression subscale of the Hospital Anxiety and Depression Scale; HADS-D) and resiliency factors (i.e., mindfulness and coping) during Neuro-ICU hospitalization. The HADS-D was administered again at 3 and 6 months after discharge. The Actor-Partner Interdependence Model (APIM) was used to assess patient-caregiver interdependence. RESULTS: Baseline rates of clinically significant depressive symptoms were high among patients (23%) and caregivers (19%), and remained elevated through 6-months. Higher depressive symptoms predicted higher levels of symptoms at the subsequent timepoint (ps < 0.05). Higher baseline mindfulness and coping were associated with lower levels of depressive symptoms at all timepoints (ps < 0.001). APIM analysis showed that one's own higher baseline mindfulness was associated with concurrent levels of depressive symptoms in a partner (p < 0.05). CONCLUSIONS: Depressive symptoms in Neuro-ICU patient-caregiver dyads are high through 6 months. Mindfulness is protective against depressive symptoms and interdependent between patients and caregivers. Early, dyadic, mindfulness-based interventions may prevent the development of chronic depression in both patients and caregivers.