Faculty Bibliography

BACKGROUND AND PURPOSE/OBJECTIVE:Cerebrovascular reactivity (CVR) is a widely studied biomarker of cerebral hemodynamics, commonly used in risk stratification and treatment planning in patients with steno-occlusive disease (SOD). Conventional use relies on normalization of estimates to contralateral hemisphere reference values, which is unsuitable for bilateral or indeterminate distributions of disease. We report upon a custom data-driven approach leveraging random forest classifiers (RFc) to identify candidate voxels for normalization in order to facilitate interrogation outside conditions of known unilateral SOD MATERIALS AND METHODS: We retrospectively analyzed 16 patients with unilateral SOD who underwent acetazolamide-augmented BOLD-MRI and DSC perfusion. Three RFc models were trained using leave-one-out cross-validation (LOOCV) to identify candidate voxels brain-wide whose CVR were within 10% of the normal hemispheric median: i. all voxels; ii. gray matter only; and iii. white matter only. Model input features included time-to-maximum (Tmax), mean transit time (MTT), cerebral blood flow (CBF), and cerebral blood volume (CBV) from contemporaneous DSC. The median model-predicted reference CVR (CVRref) was compared to ground-truth medians in LOOCV, and its impact on threshold-based volumetric classification of CVR reduction assessed. RESULTS:RFc models effectively predicted ground-truth CVR voxels, achieving median absolute percent differences of 12.8% (IQR: 5.0%-18.9%) using all voxels, 11.3% (IQR: 9.3%-16.1%) for gray matter, and 9.8% (IQR: 4.4%-16.9%) for white matter. Volumetric estimates of CVR reduction across thresholds for the models revealed excellent agreement between ground-truth and model estimates without statistically significant differences (p>0.01), excepting lowest white matter CVR thresholds. Model use in a small pilot deployment of bilateral SOD cases demonstrated the potential utility, enabling voxel-wise CVR assessment without reliance on contralateral reference. CONCLUSIONS:We present a novel data-driven approach for normalizing CVR maps in patients with bilateral or indeterminate SOD. Using an RFc, our method provides an individualized, brain-wide reference CVR, expanding the utility of CVR estimates beyond the typical constraints of unilateral disease, and with potential application to other, similarly constrained scenarios such as for SPECT or PET hemodynamic studies. ABBREVIATIONS/BACKGROUND:CVR = cerebrovascular reactivity; RFc = random forest classifier; SOD = steno-occlusive disease.

OBJECTIVE:This study compared outcomes in patients with and without preoperative stress testing undergoing carotid revascularization including carotid endarterectomy (CEA), transfemoral carotid artery stenting (TF-CAS), and transcarotid revascularization (TCAR). METHODS:Patients in the Vascular Quality Initiative Vascular Implant Surveillance and Interventional Outcomes Network (VQI VISION) database who underwent elective carotid revascularization 2016-2020 were included. Patients were analyzed by group based upon whether they underwent cardiac stress testing within two years preceding revascularization without subsequent coronary intervention. Subset analysis was performed comparing outcomes between those with negative and positive results (evidence of ischemia or MI). Outcomes of interest were postoperative MI/neurologic events, 90-day re-admission rates, as well as long-term mortality. RESULTS:We analyzed 18,364 patients (78.8% CEA, 9.3% TF-CAS, 11.9% TCAR). Of these, 35.8% underwent preoperative stress testing (37.4% of CEA patients, 27.5% of TF-CAS patients, and 31.9% of TCAR patients). While comorbidities were significantly higher amongst patients undergoing CEA with preoperative stress test compared to those without stress testing, the overall prevalence of co-morbidities was higher amongst patients undergoing TF-CAS or TCAR irrespective of preoperative stress test status. Compared to patients with a negative stress test, patients with positive stress test undergoing any form of carotid revascularization had a significant increase in 90-day re-admission rates (CEA 19.6% vs 15.8%, p=0.003; CAS 33.3% vs. 18.6%, p<0.001; TCAR 25% vs. 17.5%, p=0.04). No group demonstrated a difference in the incidence of in-hospital postoperative neurologic events or CHF, but those undergoing CEA (but not CAS or TCAR) experienced a significant increase in-hospital post-operative MI (1.7% vs 0.6%, p<0.001). In 3-year follow-up, those with a positive compared to negative stress test were more likely to undergo CABG/PCI in the CEA (adjusted HR 1.87 [1.42-2.27], p<0.0001) and CAS groups (adjusted HR 3.89 [1.77-8.57], p<0.01), but not the TCAR cohort. Notably those undergoing CEA with a positive compared to negative stress test, but not CAS or TCAR, exhibited a 28% increase in mortality (adjusted HR 1.28 [1.03-1.58], p=0.03) at 3 years. Conversely, those patients with a negative stress test compared to no stress test undergoing CEA experienced a 14% reduction in mortality at 3 years (adjusted HR 0.86 [0.76-0.98], p=0.02); this mortality difference was not observed in similar stress test cohort undergoing TF-CAS or TCAR. CONCLUSIONS:Our study highlights that a positive stress test in appropriately selected, asymptomatic patients undergoing elective carotid revascularization can predict select perioperative and long-term cardiovascular outcomes. However, given the high follow-up mortality associated with those undergoing CEA for elective carotid revascularization, our findings call into question whether these patients should be preferentially offered optimal medical management and/or stenting.

Typical carotid webs are nonatherosclerotic shelf-like projections of fibromyxoid tissue extending from the posterior wall of the proximal internal carotid artery (ICA). Carotid webs may precipitate acute embolic stroke, especially in younger patients. We describe our experience with pathology-proven carotid webs of atypical appearance, or atypical carotid webs (ACWs), a subset of carotid webs exhibiting abnormal location, morphology, or association with atherosclerotic changes. Our electronic medical record database was queried for all imaging impressions containing "carotid web," "shelf," or "protrusion" from 2018-2024. Imaging was reviewed by an experienced neuroradiologist and neurosurgeon. Patients with typical carotid webs or those with different diagnoses (e.g. dissection/thrombus) were excluded. Twenty-seven patients were treated for typical carotid webs; 24 were treated with carotid endarterectomy (CEA) and had pathology-confirmed webs. Five patients (three male) were identified to have ACWs and included in this report. Mean age was 43.6 years. All ACWs were identified by computed tomography angiography (CTA). All patients presented with acute ischemic stroke or transient ischemic attack (TIA). One web was located on the anterior ICA wall, three were of abnormal morphology different from a "shelf-like" projection, and one was associated with atherosclerotic change. No patients experienced a further stroke or TIA following CEA. ACWs may precipitate ischemic stroke and can be treated and definitively diagnosed with CEA. Due to their unusual appearance, ACWs may evade radiographic identification or be misdiagnosed. As ACWs have not been previously reported in the literature, awareness of their existence must be raised to increase their detection and treatment.

BACKGROUND:Hemorrhagic stroke survivors may have cognitive impairment. We sought to identify preadmission and admission factors associated with cognitive impairment after hemorrhagic stroke. DESIGN/METHODS:Patients with nontraumatic intracerebral or subarachnoid hemorrhage (ICH or SAH) were assessed 3-months post-bleed using the Quality of Life in Neurological Disorders (Neuro-QoL) Cognitive Function short form. Univariate and multivariate analysis were used to evaluate the relationship between poor cognition (Neuro-QoL t-score ≤50) and preadmission and admission factors. RESULTS:Of 101 patients (62 ICH and 39 SAH), 51 (50 %) had poor cognition 3-months post-bleed. On univariate analysis, poor cognition was associated with (p < 0.05): age [66.0 years (52.0-77.0) vs. 54.5 years (40.8-66.3)]; private insurance (37.3 % vs. 74.0 %); BMI > 30 (13.7 % vs. 34.0 %); and admission mRS score > 0 (41.2 % vs. 14.0 %), NIHSS score [8.0 (2.0-17.0) vs. 0.5 (0.0-4.0)], and APACHE II score [16.0 (11.0-19.0) vs. 9.0 (6.0-14.3)]. On multivariate analysis, poor cognition was associated with mRS score > 0 [OR 4.97 (1.30-19.0), p = 0.019], NIHSS score [OR 1.14 (1.02-1.28), p = 0.026], private insurance [OR 0.21 (0.06-0.76), p = 0.017] and BMI > 30 [OR 0.13 (0.03-0.56), p = 0.006]. CONCLUSIONS:Cognitive impairment after hemorrhagic stroke is less common in patients with BMI > 30 and private insurance. Heightened surveillance for non-obese patients without private insurance is suggested. Additional investigation into the relationship between cognition and both BMI and insurance type is needed.

BACKGROUND:Although it is well-known that intracerebral hemorrhage (ICH) is associated with physical and psychological morbidity, there is scant data on factors influencing social engagement after ICH. Understanding the relationship between functionality, psychological outcome and social engagement post-bleed may facilitate identification of patients at high risk for social isolation after ICH. METHODS:Patients ≥18-years-old with non-traumatic ICH from January 2015-March 2023 were identified from the Neurological Emergencies Outcomes at NYU (NEON) registry. Data on discharge functionality were collected from the medical record. 3-months post-bleed, patients/their legally-authorized representatives (LARs) were contacted to complete Neuro-QoL social engagement, anxiety, depression, and sleep inventories. Patients were stratified by ability to participate in social roles and activities (good=T-score>50, poor=T-score≤50) and satisfaction with social roles and activities (high=T-score>50 and low=T-score≤50). Univariate comparisons were performed to evaluate the relationship between post-bleed social engagement and both functionality and psychological outcome using Pearson's chi-square, Fisher's Exact test, and Mann-Whitney U tests. Multivariate logistic regression was subsequently performed using variables that were significant on univariate analysis (p<0.05). RESULTS:The social engagement inventories were completed for 55 patients with ICH; 29 (53 %) by the patient alone, 14 (25 %) by a LAR alone, and 12 (22 %) by both patient and LAR. 15 patients (27 %) had good ability to participate in social roles and activities and 10 patients (18 %) had high satisfaction with social roles and activities. Social engagement was associated with both functionality and psychological outcome on univariate analysis, but on multivariate analysis, it was only related to functionality; post-bleed ability to participate in social roles and activities was associated with discharge home, discharge GCS score, discharge mRS score, and discharge NIHSS score (p<0.05) and post-bleed satisfaction with social roles and activities was related to discharge mRS score and discharge NIHSS score (p<0.05). CONCLUSION/CONCLUSIONS:In patients with nontraumatic ICH, social engagement post-bleed was related to discharge functionality, even when controlling for depression, anxiety, and sleep disturbance.

OBJECTIVES/OBJECTIVE:The objective of this study was to determine factors associated with negative disease-related stigma after hemorrhagic stroke. MATERIALS AND METHODS/METHODS:Patients with non-traumatic hemorrhage (ICH or SAH) admitted between January 2015 and February 2021 were assessed by telephone 3-months after discharge using the Quality of Life in Neurological Disorders (Neuro-QoL) Negative Disease-Related Stigma Short Form inventory. We evaluated the relationship between disease-related stigma (T-score >50) and pre-stroke demographics, admission data, and poor functional outcome (3-month mRS score 3-5 and Barthel Index <100). RESULTS:We included 89 patients (56 ICH and 33 SAH). The median age was 63 (IQR 50-69), 43 % were female, and 67 % graduated college. Admission median GCS score was 15 (IQR 13-15) and APACHE II score was 12 (IQR 9-17). 31 % had disease-related stigma. On univariate analysis, disease-related stigma was associated with female sex, non-completion of college, GCS score, APACHE II score, and 3-month mRS score (all p < 0.05). On multivariate analysis, disease-related stigma was associated with female sex (OR = 3.72, 95 % CI = 1.23-11.25, p = 0.02) and 3-month Barthel Index <100 (OR = 3.46, 95 % CI = 1.13-10.64, p = 0.03) on one model, and female sex (OR = 3.75, 95 % CI = 1.21-11.58, p = 0.02) and 3-month mRS score 3-5 (OR = 4.23, 95 % CI = 1.21-14.75, p = 0.02) on a second model. CONCLUSION/CONCLUSIONS:Functional outcome and female sex are associated with disease-related stigma 3-months after hemorrhagic stroke. Because stigma may negatively affect recovery, there is a need to understand the relationship between these factors to mitigate stroke-related stigma.

OBJECTIVES/OBJECTIVE:Hospital readmissions are associated with poor health outcomes including illness severity and medical complications. The objective of this study was to identify characteristics associated with 30-day post-stroke readmission in an academic urban hospital network. MATERIALS AND METHODS/METHODS:We collected data on patients admitted with stroke from 2017 through 2022 who were readmitted within 30 days of discharge and compared them to a subset of non-readmitted stroke patients. Chart review was used to collect demographics, characteristics of the stroke, co-morbid conditions, in-hospital complications, and post-discharge care. Univariate analyses followed by regression analysis were used to assess characteristics associated with post-stroke readmission. RESULTS:We identified 4743 patients with stroke (18 % hemorrhagic, mean age 70.1 (standard deviation (SD) 17.2), 47.3 % female) discharged from the stroke services, of whom 282 (5.9 %) patients were readmitted within 30 days of index hospitalization. Univariate analyses identified 18 significantly different features between admitted and readmitted patients. Regression analysis revealed characteristics associated with readmission included private insurance (odds ratio (OR) 0.4, confidence interval (CI) 0.3-0.6, p < 0.001), comorbid peripheral vascular disease (PVD) (OR 2.7, CI 1.3-5.5, p = 0.009), malignancy (OR 1.6, CI 1.0-2.6, p = 0.04), seizure (OR 3.4, CI 1.4-8.2, p = 0.007), thrombolytic administration (OR 0.4, CI 0.2-0.7, p = 0.003), undergoing thrombectomy (OR 5.4, CI 2.9-10.1, p < 0.001), and higher discharge modified Rankin Scale score (OR 1.2, CI 1.0-1.3, p = 0.047). CONCLUSIONS:Our data demonstrate that thrombectomy, high discharge Rankin score, comorbid malignancy, seizure or PVD, and lack of thrombolytic administration or private insurance predict readmission.

BACKGROUND AND PURPOSE/UNASSIGNED:Sleep disturbance after hemorrhagic stroke (intracerebral or subarachnoid hemorrhage) can impact rehabilitation, recovery, and quality of life. We sought to explore preclinical and clinical factors associated with sleep disturbance after hemorrhagic stroke assessed via the Quality of Life in Neurological Disorders (Neuro-QoL) short form sleep disturbance inventory. METHODS/UNASSIGNED:We telephonically completed the Neuro-QoL short form sleep disturbance inventory 3-months and 12-months after hemorrhagic stroke for patients >18-years-old hospitalized between January 2015 and February 2021. We examined the relationship between sleep disturbance (T-score >50) and social and neuropsychiatric history, systemic and neurological illness severity, medical complications, and temporality. RESULTS/UNASSIGNED:= .046). CONCLUSION/UNASSIGNED:This exploratory analysis did not demonstrate a sustained relationship between any preclinical or clinical factors and sleep disturbance after hemorrhagic stroke. Larger studies that include comparison to patients with ischemic stroke and healthy individuals and utilize additional techniques to evaluate sleep disturbance are needed.

OBJECTIVES/OBJECTIVE:Carotid interventions are indicated for both patients with symptomatic and a subset of patients with severe asymptomatic carotid artery stenosis (CAS). Symptomatic CAS accounts for up to 12%-25% of overall carotid interventions, but predictors of symptomatic presentation remain poorly defined. The aim of this study was to identify factors associated with symptomatic CAS in our patient population. METHODS:Between January 2015 and February 2022, an institutional retrospective cohort study of prospectively collected data on patients undergoing interventions for CAS was performed. Procedures included carotid endarterectomy (CEA), transcarotid artery revascularization (TCAR), and transfemoral carotid artery stenting (TF-CAS). Demographic data, comorbidities, procedural details, and anatomic features from various imaging modalities were collected. Comparisons were made between symptomatic (symptoms within the prior 6 months) and asymptomatic patients. RESULTS:< .001), and symptomatic patients with ulcerated plaques more frequently had less than 50% compared to moderate/severe CAS. Nine patients who presented with symptoms had mild CAS and underwent intervention. CONCLUSIONS:Symptomatic CAS was associated with a history of remote prior symptoms and lack of anti-platelet therapy at time of presentation. Furthermore, symptomatic patients not on anti-platelet agents were more likely to have a greater area of parenchymal involvement when presenting with stroke and symptomatic patients with ulcerated plaques were more likely to have mild CAS, suggesting the role of plaque instability in symptomatic presentation. These findings underscore the importance of appropriate medical management and adherence in all patients with CAS and perhaps a role for more frequent surveillance in those with potentially unstable plaque morphology.

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.