Faculty Bibliography

BACKGROUND AND OBJECTIVES/OBJECTIVE:Mortality after intracerebral hemorrhage (ICH) is common. Neighborhood socioeconomic status (nSES) is an important social determinant of health (SDoH) that can affect clinical outcome. We hypothesize that SDoH, including nSES, contribute to differences in withdrawal of life-sustaining therapies (WLSTs) and mortality in patients with ICH. METHODS:tests. We performed multivariable analysis using backward stepwise logistic regression. RESULTS:≤ 0.01 for both). In multivariable analysis adjusting for age and clinical severity scores, patients who lived in zip codes with high-income levels were more likely to have WLST (adjusted odds ratio [aOR] 1.88; 95% CI 1.29-2.74) and mortality before discharge (aOR 1.5; 95% CI 1.06-2.13). DISCUSSION/CONCLUSIONS:SDoH, including nSES, are associated with WLST after ICH. This has important implications for the care and management of patients with ICH.

OBJECTIVE:To examine the usefulness of carotid web (CW), carotid bifurcation and their combined angioarchitectural measurements in assessing stroke risk. METHODS:Anatomic data on the internal carotid artery (ICA), common carotid artery (CCA), and the CW were gathered as part of a retrospective study from symptomatic (stroke) and asymptomatic (nonstroke) patients with CW. We built a model of stroke risk using principal-component analysis, Firth regression trained with 5-fold cross-validation, and heuristic binary cutoffs based on the Minimal Description Length principle. RESULTS:The study included 22 patients, with a mean age of 55.9 ± 12.8 years; 72.9% were female. Eleven patients experienced an ischemic stroke. The first 2 principal components distinguished between patients with stroke and patients without stroke. The model showed that ICA-pouch tip angle (P = 0.036), CCA-pouch tip angle (P = 0.036), ICA web-pouch angle (P = 0.036), and CCA web-pouch angle (P = 0.036) are the most important features associated with stroke risk. Conversely, CCA and ICA anatomy (diameter and angle) were not found to be risk factors. CONCLUSIONS:This pilot study shows that using data from computed tomography angiography, carotid bifurcation, and CW angioarchitecture may be used to assess stroke risk, allowing physicians to tailor care for each patient according to risk stratification.

OBJECTIVE/UNASSIGNED:A significant number of patients develop anxiety after stroke. The objective of this study was to identify risk factors for anxiety after hemorrhagic stroke that may facilitate diagnosis and treatment. METHODS/UNASSIGNED:Patients admitted between January 2015 and February 2021 with nontraumatic hemorrhagic stroke (intracerebral [ICH] or subarachnoid [SAH] hemorrhage) were assessed telephonically 3 and 12 months after stroke with the Quality of Life in Neurological Disorders Anxiety Short Form to evaluate the relationships between poststroke anxiety (T score >50) and preclinical social and neuropsychiatric history, systemic and neurological illness severity, and in-hospital complications. RESULTS/UNASSIGNED:Of 71 patients who completed the 3-month assessment, 28 (39%) had anxiety. There was a difference in Glasgow Coma Scale (GCS) scores on admission between patients with anxiety (median=14, interquartile range [IQR]=12-15) and those without anxiety (median=15, IQR=14-15) (p=0.034), and the incidence of anxiety was higher among patients with ICH (50%) than among those with SAH (20%) (p=0.021). Among patients with ICH, anxiety was associated with larger median ICH volume (25 cc [IQR=8-46] versus 8 cc [IQR=3-13], p=0.021) and higher median ICH score (2 [IQR=1-3] versus 1 [IQR=0-1], p=0.037). On multivariable analysis with GCS score, hemorrhage type, and neuropsychiatric history, only hemorrhage type remained significant (odds ratio=3.77, 95% CI=1.19-12.05, p=0.024). Of the 39 patients who completed the 12-month assessment, 12 (31%) had anxiety, and there was a difference in mean National Institutes of Health Stroke Scale scores between patients with (5 [IQR=3-12]) and without (2 [IQR=0-4]) anxiety (p=0.045). There was fair agreement (κ=0.38) between the presence of anxiety at 3 and 12 months. CONCLUSIONS/UNASSIGNED:Hemorrhage characteristics and factors assessed with neurological examination on admission are associated with the development of poststroke anxiety.

OBJECTIVE:Interventions for carotid occlusions are infrequently undertaken and the outcomes are poorly defined. We sought to study patients undergoing urgent carotid revascularization for symptomatic occlusions. METHODS:The Society for Vascular Surgery Vascular Quality Initiative database was queried from 2003 to 2020 to identify patients with carotid occlusions undergoing carotid endarterectomy (CEA). Only symptomatic patients undergoing urgent interventions within 24 hours of presentation were included. Patients were identified based on CT and MRI imaging. This cohort was compared to symptomatic patients undergoing urgent intervention for severe stenosis (≥80%). Primary endpoints were perioperative stroke, death, myocardial infarction (MI) and composite outcomes as defined by the SVS reporting guidelines. Patient characteristics were analyzed to determine predictors of perioperative mortality and neurological events. RESULTS:inhibitor (32.0%), aspirin (77.9%) and renin-angiotensin inhibitor (43.7%) preoperatively. When compared to patients undergoing urgent endarterectomy for severe stenosis (≥80%), those with symptomatic occlusion were well matched with regards to risk factors, but the severe stenosis cohort appeared better medically managed and less likely to present with cortical stroke symptoms. Perioperative outcomes were significantly worse for the carotid occlusion cohort, primarily driven by higher perioperative mortality (2.8% vs 0.9%, P<.001). The composite endpoint of stroke/death/MI was also significantly worse in the occlusion cohort (7.7% vs 4.9%, P=.014). On multivariate analysis, carotid occlusion was associated with increased mortality (OR, 3.028; 95% CI, 1.362-6.730; P=.007) and composite outcome of stroke, death, or MI (OR, 1.790; 95% CI, 1.135-2.822, P=.012). CONCLUSIONS:Revascularization for symptomatic carotid occlusion constitutes approximately 2% of carotid interventions captured in the VQI, affirming the rarity of this undertaking. These patients have acceptable rates of perioperative neurologic events but are at an elevated risk of overall perioperative adverse events, primarily driven by higher mortality, compared to those with severe stenosis. Carotid occlusion appears to be the most significant risk factor for the composite endpoint of perioperative stroke, death, or MI. While intervention for a symptomatic carotid occlusion may be performed with acceptable rate of perioperative complications, judicious patient selection is warranted in this high-risk cohort.

Large vessel occlusion stroke due to underlying intracranial atherosclerotic disease (ICAD-LVO) is prevalent in 10 to 30% of LVOs depending on patient factors such as vascular risk factors, race and ethnicity, and age. Patients with ICAD-LVO derive similar functional outcome benefit from endovascular thrombectomy as other mechanisms of LVO, but up to half of ICAD-LVO patients reocclude after revascularization. Therefore, early identification and treatment planning for ICAD-LVO are important given the unique considerations before, during, and after endovascular thrombectomy. In this review of ICAD-LVO, we propose a multistep approach to ICAD-LVO identification, pretreatment and endovascular thrombectomy considerations, adjunctive medications, and medical management. There have been no large-scale randomized controlled trials dedicated to studying ICAD-LVO, therefore this review focuses on observational studies.

Stroke commonly affects the ability of the upper extremities (UEs) to move normally. In clinical settings, identifying and measuring movement abnormality is challenging due to the imprecision and impracticality of available assessments. These challenges interfere with therapeutic tracking, communication, and treatment. We thus sought to develop an approach that blends precision and pragmatism, combining high-dimensional motion capture with out-of-distribution (OOD) detection. We used an array of wearable inertial measurement units to capture upper body motion in healthy and chronic stroke subjects performing a semi-structured, unconstrained 3D tabletop task. After data were labeled by human coders, we trained two deep learning models exclusively on healthy subject data to classify elemental movements (functional primitives). We tested these healthy subject-trained models on previously unseen healthy and stroke motion data. We found that model confidence, indexed by prediction probabilities, was generally high for healthy test data but significantly dropped when encountering OOD stroke data. Prediction probabilities worsened with more severe motor impairment categories and were directly correlated with individual impairment scores. Data inputs from the paretic UE, rather than trunk, most strongly influenced model confidence. We demonstrate for the first time that using OOD detection with high-dimensional motion data can reveal clinically meaningful movement abnormality in subjects with chronic stroke.

BACKGROUND AND OBJECTIVES:Functional outcomes after stroke are strongly related to focal injury measures. However, the role of global brain health is less clear. In this study, we examined the impact of brain age, a measure of neurobiological aging derived from whole-brain structural neuroimaging, on poststroke outcomes, with a focus on sensorimotor performance. We hypothesized that more lesion damage would result in older brain age, which would in turn be associated with poorer outcomes. Related, we expected that brain age would mediate the relationship between lesion damage and outcomes. Finally, we hypothesized that structural brain resilience, which we define in the context of stroke as younger brain age given matched lesion damage, would differentiate people with good vs poor outcomes. METHODS:We conducted a cross-sectional observational study using a multisite dataset of 3-dimensional brain structural MRIs and clinical measures from the ENIGMA Stroke Recovery. Brain age was calculated from 77 neuroanatomical features using a ridge regression model trained and validated on 4,314 healthy controls. We performed a 3-step mediation analysis with robust mixed-effects linear regression models to examine relationships between brain age, lesion damage, and stroke outcomes. We used propensity score matching and logistic regression to examine whether brain resilience predicts good vs poor outcomes in patients with matched lesion damage. RESULTS:= 0.004). DISCUSSION:We provide evidence that younger brain age is associated with superior poststroke outcomes and modifies the impact of focal damage. The inclusion of imaging-based assessments of brain age and brain resilience may improve the prediction of poststroke outcomes compared with focal injury measures alone, opening new possibilities for potential therapeutic targets.

OBJECTIVE:To determine if the distribution of transcallosal inhibition (TI) acting on proximal and distal upper extremity muscles is altered in chronic stroke. METHODS:We examined thirteen healthy controls and sixteen mildly to moderately impaired chronic stroke patients. We used transcranial magnetic stimulation (TMS) to probe TI from the contralesional onto ipsilesional hemisphere (assigned in controls). We recorded the ipsilateral silent period in the paretic biceps (BIC) and first dorsal interosseous (FDI). We measured TI strength, distribution gradient (TI difference between muscles), and motor impairment (Fugl-Meyer Assessment). RESULTS:Both groups had stronger TI acting on their FDIs than BICs (p < 0.001). However, stroke patients also had stronger TI acting on their BICs than controls (p = 0.034), resulting in a flatter distribution of inhibition (p = 0.028). In patients, stronger FDI inhibition correlated with less hand impairment (p = 0.031); BIC inhibition was not correlated to impairment. CONCLUSION/CONCLUSIONS:TI is more evenly distributed to the paretic FDI and BIC in chronic stroke. The relative increase in proximal inhibition does not relate to better function, as it does distally. SIGNIFICANCE/CONCLUSIONS:The results expand our knowledge about segment-specific neurophysiology and its relevance to impairment after stroke.

Background Exhaustion of cerebrovascular reactivity (CVR) portends increased stroke risk. Acetazolamide-augmented blood oxygenation level-dependent (BOLD) MRI has been used to estimate CVR, but low signal-to-noise conditions relegate its use to terminal CVR (CVR_end) measurements that neglect dynamic features of CVR. Purpose To demonstrate comprehensive characterization of acetazolamide-augmented BOLD MRI response in chronic steno-occlusive disease using a computational framework to precondition signal time courses for dynamic whole-brain CVR analysis. Materials and Methods This study focused on retrospective analysis of consecutive patients with unilateral chronic steno-occlusive disease who underwent acetazolamide-augmented BOLD imaging for recurrent minor stroke or transient ischemic attack at an academic medical center between May 2017 and October 2020. A custom principal component analysis-based denoising pipeline was used to correct spatially varying non-signal-bearing contributions obtained by a local principal component analysis of the MRI time series. Standard voxelwise CVR_end maps representing terminal responses were produced and compared with maximal CVR (CVR_max) as isolated from binned (per-repetition time) denoised BOLD time course. A linear mixed-effects model was used to compare CVR_max and CVR_end in healthy and diseased hemispheres. Results A total of 23 patients (median age, 51 years; IQR, 42-61, 13 men) who underwent 32 BOLD examinations were included. Processed MRI data showed twofold improvement in signal-to-noise ratio, allowing improved isolation of dynamic characteristics in signal time course for sliding window CVR_max analysis to the level of each BOLD repetition time (approximately 2 seconds). Mean CVR_max was significantly higher than mean CVR_end in diseased (5.2% vs 3.8%, P < .01) and healthy (5.5% vs 4.0%, P < .01) hemispheres. Several distinct time-signal signatures were observed, including nonresponsive; delayed/blunted; brisk; and occasionally nonmonotonic time courses with paradoxical features in normal and abnormal tissues (ie, steal and reverse-steal patterns). Conclusion A principal component analysis-based computational framework for analysis of acetazolamide-augmented BOLD imaging can be used to measure unsustained CVR_max through twofold improvements in signal-to-noise ratio. © RSNA, 2023 Supplemental material is available for this article.

BACKGROUND:There is a rising incidence of infective endocarditis-related stroke (IERS) in the United States attributed to the opioid epidemic. A contemporary epidemiologic description is necessary to understand the impact of the opioid epidemic on clinical characteristics of IERS. We describe and analyze trends in the demographics, risk factors, and clinical features of IERS. METHODS:This is a retrospective cohort study within a biracial population of 1.3 million in the Greater Cincinnati/Northern Kentucky region. All hospitalized patients with hemorrhagic or ischemic stroke were identified and physician verified from the 2005, 2010, and 2015 calendar years using ICD-9 and -10 codes. IERS was defined as an acute stroke attributed to infective endocarditis meeting modified Duke Criteria for possible or definite endocarditis. Unadjusted comparison of demographics, risk factors, outcome, and clinical characteristics was performed between each study period for IERS and non-IERS. An adjusted model to compare trends used Cochran-Armitage test for categorical variables and a general linear model or a Kruskal-Wallis test for numerical variables. Examination for interaction of endocarditis status in trends was performed using a general linear or logistic model. RESULTS:A total of 54 patients with IERS and 8204 without IERS were identified during the study periods. Between 2005 and 2015, there was a decline in rates of hypertension (91.7% vs 36.0%; p=0.0005) and increased intravenous drug users (IVDU) (8.3% vs 44.0%; p=0.02) in the IERS cohort. The remainder of the stroke population demonstrated a significant rise in hypertension, diabetes, atrial fibrillation, and peri-operative stroke. Infective endocarditis status significantly interacted with the trend in hypertension prevalence (p=0.001). CONCLUSION/CONCLUSIONS:From 2005 to 2015, infective endocarditis-related stroke was increasingly associated with intravenous drug use and fewer risk factors, specifically hypertension. These trends likely reflect the demographics of the opioid epidemic, which has affected younger patients with fewer comorbidities.Non-standard Abbreviations and Acronyms IERS: infective endocarditis-related stroke; IVDU: intravenous drug users; GCNKSS: Greater Cincinnati Northern Kentucky Stroke Study; NIHSS: National Institute of Health Stroke Scale; tPA: tissue plasminogen activator.