Faculty Bibliography
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The Impact of Functionality and Psychological Outcome on Social Engagement 3-months after Intracerebral Hemorrhage
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.
PMID: 39321574
ISSN: 1872-6968
CID: 5746572
The National Institutes of Health COVID-19 Neuro Databank/Biobank: Creation and Evolution
INTRODUCTION/BACKGROUND:Diverse neurological conditions are reported associated with the SARS-CoV-2 virus; neurological symptoms are the most common conditions to persist after the resolution of acute infection, affecting 20% of patients 6 months after acute illness. The COVID-19 Neuro Databank (NeuroCOVID) was created to overcome the limitations of siloed small local cohorts to collect detailed, curated, and harmonized de-identified data from a large diverse cohort of adults with new or worsened neurological conditions associated with COVID-19 illness, as a scientific resource. METHODS:A Steering Committee including US and international experts meets quarterly to provide guidance. Initial study sites were recruited to include a wide US geographic distribution; academic and non-academic sites; urban and non-urban locations; and patients of different ages, disease severity, and comorbidities seen by a variety of clinical specialists. The NeuroCOVID REDCap database was developed, incorporating input from professional guidelines, existing common data elements, and subject matter experts. A cohort of eligible adults is identified at each site; inclusion criteria are: a new or worsened neurological condition associated with a COVID-19 infection confirmed by testing. De-identified data are abstracted from patients' medical records, using standardized common data elements and five case report forms. The database was carefully enhanced in response to feedback from site investigators and evolving scientific interest in post-acute conditions and their timing. Additional US and international sites were added, focusing on diversity and populations not already described in published literature. By early 2024, NeuroCOVID included over 2,700 patient records, including data from 16 US and 5 international sites. Data are being shared with the scientific community in compliance with NIH requirements. The program has been invited to share case report forms with the National Library of Medicine as an ongoing resource for the scientific community. CONCLUSION/CONCLUSIONS:The NeuroCOVID database is a unique and valuable source of comprehensive de-identified data on a wide variety of neurological conditions associated with COVID-19 illness, including a diverse patient population. Initiated early in the pandemic, data collection has been responsive to evolving scientific interests. NeuroCOVID will continue to contribute to scientific efforts to characterize and treat this challenging illness and its consequences.
PMID: 38934169
ISSN: 1423-0208
CID: 5738612
Prevalence and Trajectories of Post-COVID-19 Neurological Manifestations: A Systematic Review and Meta-Analysis
INTRODUCTION/BACKGROUND:The aim of this systematic review and meta-analysis was to evaluate the prevalence of thirteen neurological manifestations in people affected by COVID-19 during the acute phase and at 3, 6, 9 and 12-month follow-up time points. METHODS:The study protocol was registered with PROSPERO (CRD42022325505). MEDLINE (PubMed), Embase, and the Cochrane Library were used as information sources. Eligible studies included original articles of cohort studies, case-control studies, cross-sectional studies, and case series with ≥5 subjects that reported the prevalence and type of neurological manifestations, with a minimum follow-up of 3 months after the acute phase of COVID-19 disease. Two independent reviewers screened studies from January 1, 2020, to June 16, 2022. The following manifestations were assessed: neuromuscular disorders, encephalopathy/altered mental status/delirium, movement disorders, dysautonomia, cerebrovascular disorders, cognitive impairment/dementia, sleep disorders, seizures, syncope/transient loss of consciousness, fatigue, gait disturbances, anosmia/hyposmia, and headache. The pooled prevalence and their 95% confidence intervals were calculated at the six pre-specified times. RESULTS:126 of 6,565 screened studies fulfilled the eligibility criteria, accounting for 1,542,300 subjects with COVID-19 disease. Of these, four studies only reported data on neurological conditions other than the 13 selected. The neurological disorders with the highest pooled prevalence estimates (per 100 subjects) during the acute phase of COVID-19 were anosmia/hyposmia, fatigue, headache, encephalopathy, cognitive impairment, and cerebrovascular disease. At 3-month follow-up, the pooled prevalence of fatigue, cognitive impairment, and sleep disorders was still 20% and higher. At six- and 9-month follow-up, there was a tendency for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia, and headache to further increase in prevalence. At 12-month follow-up, prevalence estimates decreased but remained high for some disorders, such as fatigue and anosmia/hyposmia. Other neurological disorders had a more fluctuating occurrence. DISCUSSION/CONCLUSIONS:Neurological manifestations were prevalent during the acute phase of COVID-19 and over the 1-year follow-up period, with the highest overall prevalence estimates for fatigue, cognitive impairment, sleep disorders, anosmia/hyposmia, and headache. There was a downward trend over time, suggesting that neurological manifestations in the early post-COVID-19 phase may be long-lasting but not permanent. However, especially for the 12-month follow-up time point, more robust data are needed to confirm this trend.
PMID: 38272015
ISSN: 1423-0208
CID: 5728892
Intravenous Thrombolysis in Patients With Cervical Artery Dissection: A Secondary Analysis of the STOP-CAD Study
OBJECTIVES/OBJECTIVE:Cervical artery dissection (CeAD) accounts for 25% of ischemic strokes in young adults. This study evaluated the benefits and harms of intravenous thrombolysis (IVT) in patients presenting with spontaneous CeAD and acute ischemic stroke symptoms. METHODS:This analysis used data from the retrospective STOP-CAD study and included patients with spontaneous CeAD who presented within 1 day of acute ischemic stroke symptoms. Patients were dichotomized into those who received IVT and those managed without IVT. We assessed the association between IVT and 90-day functional independence (modified Rankin Scale scores 0-2) and the incidence of symptomatic intracranial hemorrhage (ICH, defined as ICH causing new or worsening neurologic symptoms within 72 hours after CeAD diagnosis). RESULTS:= 0.215). DISCUSSION/CONCLUSIONS:In patients with spontaneous CeAD and suspected ischemic stroke, IVT improved functional outcomes, without increasing symptomatic ICH risk. These findings support current guideline recommendations to consider thrombolysis for otherwise eligible patients with CeAD. CLASSIFICATION OF EVIDENCE/METHODS:This study provides Class III evidence that IVT significantly increases the probability of 90-day functional independence in patients with CeAD.
PMCID:11415265
PMID: 39298709
ISSN: 1526-632x
CID: 5721812
Journal of neuropsychiatry & clinical neurosciences. 2024:36(4):316-324.DOI: 10.1176/appi.neuropsych.20230114
Relationship Between Hemorrhage Type and Development of Emotional and Behavioral Dyscontrol After Hemorrhagic Stroke
OBJECTIVE/UNASSIGNED:Emotional and behavioral dyscontrol (EBD), a neuropsychiatric complication of stroke, leads to patient and caregiver distress and challenges to rehabilitation. Studies of neuropsychiatric sequelae in stroke are heavily weighted toward ischemic stroke. This study was designed to compare risk of EBD following intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH) and to identify risk factors for EBD following hemorrhagic stroke. METHODS/UNASSIGNED:The authors conducted a prospective cohort study of patients hospitalized for nontraumatic hemorrhagic stroke between 2015 and 2021. Patients or legally authorized representatives completed the Quality of Life in Neurological Disorders (Neuro-QOL) EBD short-form inventory 3 months after hospitalization. Univariable and multivariable analyses identified risk factors for EBD after hemorrhagic stroke. RESULTS/UNASSIGNED:The incidence of EBD was 21% (N=15 of 72 patients) at 3 months after hemorrhagic stroke. Patients with ICH were more likely to develop EBD; 93% of patients with EBD (N=14 of 15) had ICH compared with 56% of patients without EBD (N=32 of 57). The median Glasgow Coma Scale (GCS) score at hospital admission was lower among patients who developed EBD (13 vs. 15 among those without EBD). Similarly, admission scores on the National Institutes of Health Stroke Scale (NIHSS) and the Acute Physiology and Chronic Health Evaluation II (APACHE II) were higher among patients with EBD (median NIHSS score: 7 vs. 2; median APACHE II score: 17 vs. 11). Multivariable analyses identified hemorrhage type (ICH) and poor admission GCS score as predictors of EBD 3 months after hemorrhagic stroke. CONCLUSIONS/UNASSIGNED:Patients with ICH and a low GCS score at admission are at increased risk of developing EBD 3 months after hemorrhagic stroke and may benefit from early intervention.
PMID: 38650464
ISSN: 1545-7222
CID: 5711292
The authors reply [Comment]
PMID: 38483229
ISSN: 1530-0293
CID: 5692212
Journal of stroke & cerebrovascular diseases. 2024:33(9).DOI: 10.1016/j.jstrokecerebrovasdis.2024.107830
Negative disease-related stigma 3-months after hemorrhagic stroke is related to functional outcome and female sex
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.
PMID: 38909872
ISSN: 1532-8511
CID: 5697842
The author replies [Letter]
PMID: 39007580
ISSN: 1530-0293
CID: 5699202
An Exploratory Analysis of Preclinical and Clinical Factors Associated With Sleep Disturbance Assessed via the Neuro-QoL After Hemorrhagic Stroke
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.
PMCID:11181970
PMID: 38895018
ISSN: 1941-8744
CID: 5672082
Predicting hematoma expansion using machine learning: An exploratory analysis of the ATACH 2 trial
INTRODUCTION/BACKGROUND:Hematoma expansion (HE) in patients with intracerebral hemorrhage (ICH) is a key predictor of poor prognosis and potentially amenable to treatment. This study aimed to build a classification model to predict HE in patients with ICH using deep learning algorithms without using advanced radiological features. METHODS:Data from the ATACH-2 trial (Antihypertensive Treatment of Acute Cerebral Hemorrhage) was utilized. Variables included in the models were chosen as per literature consensus on salient variables associated with HE. HE was defined as increase in either >33% or 6 mL in hematoma volume in the first 24 h. Multiple machine learning algorithms were employed using iterative feature selection and outcome balancing methods. 70% of patients were used for training and 30% for internal validation. We compared the ML models to a logistic regression model and calculated AUC, accuracy, sensitivity and specificity for the internal validation models respective models. RESULTS:[5.03-18.17] and 25.2% had HE. The best performing model across all feature selection groups and sampling cohorts was using an artificial neural network (ANN) for HE in the testing cohort with AUC 0.702 [95% CI, 0.631-0.774] with 8 hidden layer nodes The traditional logistic regression yielded AUC 0.658 [95% CI, 0.641-0.675]. All other models performed with less accuracy and lower AUC. Initial hematoma volume, time to initial CT head, and initial SBP emerged as most relevant variables across all best performing models. CONCLUSION/CONCLUSIONS:We developed multiple ML algorithms to predict HE with the ANN classifying the best without advanced radiographic features, although the AUC was only modestly better than other models. A larger, more heterogenous dataset is needed to further build and better generalize the models.
PMID: 38749281
ISSN: 1878-5883
CID: 5668632
