Faculty Bibliography

BackgroundSubjective cognitive decline (SCD) is increasingly recognized in some cases as an early clinical stage in the Alzheimer's disease continuum, yet the factors that predict which individuals will progress to objective impairment remain poorly understood.ObjectiveWe evaluated risk factor differences and cognitive domain markers associated with progression in participants with subjective cognitive decline (SCD) at baseline from the NYU Alzheimer's Disease Research Center.MethodsWe included SCD non-decliners (n = 27), who remained stable, and decliners (n = 24), who progressed to mild cognitive impairment or worse, between the second to sixth yearly follow-up visits. Adjusted mixed-effects models examined group differences and associations between demographic, APOE status, psychometric test performance and comorbidities with longitudinal-decline.ResultsOverall, mean (SD) age was 67.4 (9.2) and total follow-up time was 5.1 (1.8) years. Lower education (14.9 (3.2) versus 17.3 (2.1)), Hispanic ethnicity (50.0% versus 11.0%), and hypercholesterolemia (adjusted odds ratio: 6.67) were risk factors for progression in SCD, p ≤ 0.05, whereas APOE status was not. Notably, SCD decliners were at increased risk for both amnestic and non-amnestic cognitive-decline with psychometric changes in memory, executive, and language domains (p < 0.001 for all).ConclusionsThese findings inform further work on SCD outcomes and related biomarkers, as well as preventive studies that target modifiable risk factors for SCD progression.

OBJECTIVE/UNASSIGNED:The authors sought to determine the relationships among cognitive impairment, psychiatric outcome, and functional status 3 months after a hemorrhagic stroke. METHODS/UNASSIGNED:Patients with nontraumatic intracerebral hemorrhage (ICH) or subarachnoid hemorrhage (SAH) were assessed by telephone 3 months after discharge by using the Quality of Life in Neurological Disorders (Neuro-QoL) cognitive function, anxiety, depression, and sleep disturbance short forms, as well as the modified Rankin Scale (mRS). The relationships between poor cognition (Neuro-QoL T score≤50), functional status, and psychiatric outcome among patients with ICH or SAH and patients with ICH only were evaluated. RESULTS/UNASSIGNED:Of 101 patients (N=62 with ICH and N=39 with SAH), 51% had poor cognition 3 months posthemorrhage, with 61% having mRS scores of 3-5, 43% having anxiety, 28% having depression, and 31% having sleep disturbance. Univariate analysis of the full cohort indicated that poor cognition was significantly associated with anxiety, depression, sleep disturbance, and mRS scores of 3-5 (p<0.05). Multivariate analysis revealed that poor cognition was significantly associated with anxiety (OR=4.38, 95% CI=1.30-14.74, p=0.017) and mRS scores of 3-5 (OR=6.15, 95% CI=1.96-19.32, p=0.002). Univariate analysis of the 62 patients with ICH indicated that poor cognition was significantly associated with anxiety, sleep disturbance, and mRS scores of 3-5 (p<0.05). Multivariate analysis revealed that poor cognition was significantly associated with anxiety (OR=10.98, 95% CI=2.32-51.99, p=0.003). CONCLUSIONS/UNASSIGNED:Poor cognition was associated with anxiety 3 months after hemorrhagic stroke. Additional research is needed to understand whether treatment for anxiety would improve cognition in this population.

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.

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.

BACKGROUND:Subjective cognitive decline (SCD), considered a preclinical dementia stage, is less understood in Hispanics, a high-risk group for dementia. We investigated SCD to mild cognitive impairment (MCI) progression risk, as well as baseline and longitudinal features of depressive symptoms, SCD complaints, and objective cognitive performance among Hispanics compared to non-Hispanic Whites (NHW). METHODS:Hispanic (n = 23) and NHW (n = 165) SCD participants were evaluated at baseline and 2-year follow-up. Evaluations assessed function, depressive symptoms, SCD, and objective cognitive performance. RESULTS:Hispanic ethnicity associated with a significantly increased risk of 2-year progression of SCD to MCI compared to NHW. This increased risk associated with increased depressive symptoms, distinctive SCD features, and elevated amnestic and non-amnestic objective cognitive decline. This supports further research to refine the assessment of preclinical dementia in this high-risk group.

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.

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.

Understanding the structural and functional neuroanatomy of core consciousness (ie, wakefulness and awareness) is an asset to clinicians caring for persons with disorders of consciousness. This article provides a primer on the structural and functional neuroanatomy of wakefulness and awareness. The neuroanatomical structures supporting these elements of core consciousness functions are reviewed first, after which brief description of the clinically evaluable relationships between disruption of these structures and disorders of consciousness (ie, brain-behavior relationships) are outlined. Consideration of neuroanatomy at the mesoscale (ie, the mesocircuit hypothesis) as well as in relation to several large-scale neural networks is offered.