Abstract WMP113: Serial Cognitive Testing Performance by Baseline Fazekas Category in Stroke Survivors: A Secondary Analysis of the SPS-3 Trial

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Natalia Rost ◽  
Shyam Prabhakaran
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Cognitive Abilities ◽  
Secondary Analysis ◽  
College Education ◽  
Cognitive Testing ◽  
White Matter Hyperintensity ◽  
Absolute Difference ◽  
Stroke Survivors ◽  
One Year

Introduction: Prior research has shown that an increased burden of white matter hyperintensity (WMH) is an independent risk factor for the development of dementia. However, research has not focused specifically on stroke survivors, who are also predisposed to dementia. Methods: This is a secondary analysis of patients in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial, who had a lacunar ischemic stroke within 6 months of enrollment and an MRI at study baseline. The primary outcome is change in the Cognitive Abilities Screening Instrument (CASI) from baseline to a 12 month follow-up. The primary predictor is the Fazekas score on the baseline MRI, with the scores of 0 and 1 collapsed to balance the cohort. We fit regression models to the 12 month CASI and adjusted for baseline CASI, patient age, gender, white race, Barthel Index score at 3 months from enrollment, college education, employment status, diabetes, COPD, and SPS3 randomization arm. Results: We included 2,413 patients with a mean (SD) age of 62.8 (10.6) years and 63.7% were male. There were 946 patients in Fazekas 0-1, 1,009 in Fazekas 2, and 458 in Fazekas 3. The mean (SD) CASI score at baseline and 12 months were 85.3 (12.4) and 86.0 (12.4). In the adjusted linear regression model, compared to a baseline Fazekas of 0-1, a baseline Fazekas of 2 was associated with a worse cognitive score (β coef = -0.55, 95% CI -1.01, -0.08, p=0.020), as was Fazekas of 3 (β coef = -0.76, 95% CI -1.36, -0.16, p=0.013). Conclusion: In patients with recent lacunar stroke, an increased baseline WMH burden is a risk factor for worse performance over a one year period on a validated test of global cognition. Although the absolute difference in score that we found was small (~0.5-0.8 points), this difference is over one year and, over years to decades, could become clinically significant. The implication of this finding is that lacunar ischemic stroke has additive cognitive consequences for patients with an established WMH burden, suggesting that primary stroke prevention in patients with WMH could be an important public health goal to reduce the burden of dementia.

Abstract MP26: Medicaid Expansion Did Not Reduce Stroke Readmissions After One Year

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Blake T McGee ◽  
Seiyoun Kim
Keyword(s):  
Ischemic Stroke ◽  
Fixed Effects ◽  
Secondary Analysis ◽  
First Year ◽  
Medicaid Expansion ◽  
Targeted Interventions ◽  
Quasi Experimental ◽  
Treatment Interaction ◽  
One Year ◽  
Primary Payer

Introduction: Up to 21% of stroke survivors are re-hospitalized within 30 days. Health insurance promotes access to follow-up care that can mitigate the risk of readmission, but 12 states do not participate in the Affordable Care Act’s Medicaid expansion. Hypothesis: The probability of 30-day hospital readmission after acute ischemic stroke was lower in Medicaid expansion states than in non-expansion states. Methods: A retrospective, quasi-experimental study using six inpatient databases from AHRQ’s Healthcare Cost and Utilization Project: four from expansion states (AR, MD, NM and WA) and two non-expansion (FL and GA). The sample comprised all patients hospitalized in 2012-14 with a principal diagnosis of ischemic stroke (ICD-9-CM 433.x1, 434.x1 or 436) who were aged 19-64; resided in the state where admitted; had a primary payer of Medicaid, self-pay or no charge; and were discharged alive ( N =18,766). Mixed effects logit models with a time-by-treatment interaction were built to test if the probability of readmission changed differentially between expansion and non-expansion states from 2012-13 (before expansion) to 2014. Any in-state hospitalization within 30 days of discharge (except for rehabilitation, psychiatry, or cancer treatment) was considered a readmission. A secondary analysis of unplanned, potentially preventable readmissions (adapted from the AHRQ Prevention Quality Indicators) was also conducted. Models included race, sex, age, number of diagnoses, median household income quartile of patient ZIP code, and metropolitan residence as fixed effects, with random intercepts for hospital and state. Results: In 2012-13, 8.9% of the expansion state patients were readmitted compared to 9.0% in non-expansion states; in 2014, 11.1% were readmitted in expansion states versus 10.5% in non-expansion states. In multivariable models, the time-by-treatment interaction was not statistically significant: β=0.072, p= .541, for all readmissions, β=0.168, p =.683, for unplanned, potentially preventable readmissions. Conclusions: Medicaid expansion did not reduce 30-day readmissions after stroke in the first year of implementation in four diverse states. Stroke readmissions among non-elderly adults require more targeted interventions.

scholarly journals Prolonged concussion effects: Constellations of cognitive deficits detected up to year after injury

2021 ◽  
Vol 5 ◽  
pp. 205970022110065
Author(s):  
Daniel D Leeds ◽  
Annie Nguyen ◽  
Christopher D’Lauro ◽  
Jonathan C Jackson ◽  
Brian R Johnson
Keyword(s):  
Cognitive Abilities ◽  
Cognitive Testing ◽  
Support Vector ◽  
Cognitive Measures ◽  
Post Injury ◽  
The Past ◽  
Neurocognitive Assessment ◽  
Non Linear ◽  
One Year ◽  
The One

Concussions are associated with an array of physical, emotional, cognitive, and sleep symptoms at multiple timescales. Cognitive recovery occurs relatively quickly – five-to-seven days on average. Yet, recent evidence suggests that some neurophysiological changes can be identified one year after a concussion. To that end, we examine more nuanced patterns in cognitive tests to determine whether cognitive abilities could identify a concussion within one-year post injury. A radial-basis (non-linear boundary) support vector machine classifier was trained to use cognitive performance measures to distinguish participants with no prior concussion from participants with prior concussion in the past year. After incorporating only 10 cognitive measures, or all 5 composite measures from the neurocognitive assessment (Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT)), over 90% accuracy was achieved in identifying both participants without prior concussions and participants with concussions in the past year, particularly when relying on non-linear patterns. Notably, classification accuracy stayed relatively constant between participants who had a concussion early or late in the one-year window. Thus, with substantial accuracy, a prior concussion can be identified using a non-linear combination of cognitive measures. Cognitive effects from concussion linger one-year post-injury, indicating the importance of continuing to follow concussion patients for many months after recovery and to take special note of constellations of cognitive abilities.

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

Neurology ◽  
2020 ◽  
Vol 95 (1) ◽  
pp. e79-e88 ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D. Schirmer ◽  
Adrian V. Dalca ◽  
Ramesh Sridharan ◽  
Kathleen L. Donahue ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
White Matter ◽  
Brain Mri ◽  
Vascular Risk Factor ◽  
White Matter Hyperintensity ◽  
Large Artery ◽  
Vascular Risk ◽  
Stroke Subtypes ◽  
Small Artery Occlusion

ObjectiveTo 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).MethodsFor 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.ResultsPatients 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).ConclusionIn 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.

[P2-320]: RISK FACTOR PROFILES PREDICTING DELAYED VASCULAR COGNITIVE IMPAIRMENT IN YOUNG AND OLD ISCHEMIC STROKE SURVIVORS

2017 ◽  
Vol 13 (7S_Part_15) ◽  
pp. P740-P742
Author(s):  
Russell J. Chander ◽  
Bonnie Y.K. Lam ◽  
Levinia Lim ◽  
Xuling Lin ◽  
Rajinder Singh ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Cognitive Impairment ◽  
Vascular Cognitive Impairment ◽  
Stroke Survivors

Abstract TMP99: White Matter Hyperintensity Progression and Subsequent Incident Stroke: A Secondary Analysis of the ACCORD Trial

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Sharon Yeatts ◽  
Rebecca Gottesman ◽  
Tanya Turan ◽  
Natalia Rost ◽  
...  
Keyword(s):  
Risk Factor ◽  
White Matter ◽  
Primary Outcome ◽  
Cox Model ◽  
Secondary Analysis ◽  
Exposure Period ◽  
White Matter Hyperintensity ◽  
Diabetic Patients ◽  
Cox Models ◽  
Recurrent Strokes

Introduction: Studies have shown that the volume of white matter hyperintensity (WMH) is a risk factor for stroke, but there are scarce data exploring the relationship between WMH progression on serial MRIs and subsequent risk of stroke. Hypothesis: We hypothesize that WMH progression in the ACCORD trial increases the risk of subsequent incident stroke. Methods: The exposure period was from baseline to month 40, during which an MRI was performed at both baseline and month 40. The primary outcome was incident ischemic stroke after the month 40 MRI until study completion. We fit Cox models to the primary outcome and included both the baseline and month 40 WMH volume as covariates, with the hazard ratio for the month 40 WMH volume of primary interest because it represents WMH progression in this model. Results: We included 497 patients, of whom 53.3% were male and the mean (SD) age was 62.7 (5.7) years at enrollment. Mean (SD) follow-up after the month 40 MRI was 5.2 (1.8) years. Incident stroke occurred in 17 (3.4%) patients, in whom 2 were recurrent strokes and 15 were first-ever strokes. WMH progression was associated with subsequent stroke in the Cox model (HR 1.27, 95% CI 1.03-1.57, p=0.024) and remained significant after adjusting for patient age, history of prior stroke, and cigarette smoking (HR 1.33, 95% CI 1.07-1.65, p=0.010). Conclusions: Although this preliminary analysis is underpowered, WMH progression, independent of absolute WMH burden, may be a risk factor for future stroke in diabetic patients. This novel finding could have translational implications - specifically that interventions which reduce the progression of WMH could, in turn, reduce future risk of stroke.

Adiposity Labeled a Risk Factor for Ischemic Stroke

2007 ◽  
Vol 37 (20) ◽  
pp. 14
Author(s):  
BRUCE JANCIN
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke

Anticoagulant therapy in practice

2012 ◽  
Vol 153 (19) ◽  
pp. 732-736
Author(s):  
Gergely Hofgárt ◽  
Csilla Vér ◽  
László Csiba
Keyword(s):  
Atrial Fibrillation ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Acute Stroke ◽  
Anticoagulant Therapy ◽  
Oral Anticoagulants ◽  
Health Science ◽  
Science Centre ◽  
Improper Use ◽  
Current Guidelines

Atrial fibrillation is a risk factor for ischemic stroke. To prevent stroke oral anticoagulants can be administered. Old and new types of anticoagulants are available. Nowadays, old type, acenocumarol based anticoagulants are used preferentially in Hungary. Aim: The advantages and the disadvantages of anticoagulants are well known, but anticoagulants are underused in many cases. Method: The authors retrospectively examined how frequent atrial fibrillation was and whether the usage of anticoagulants in practice was in accordance with current guidelines among acute stroke cases admitted to the Department of Neurology, Medical and Health Science Centre of Debrecen University in 2009. Results: Of the 461 acute stroke cases, 96 patients had known and 22 patients had newly discovered atrial fibrillation. Half of the patients did not receive proper anticoagulation. Only 8.4% of them had their INR levels within the therapeutic range. Conclusions: The findings are similar to those reported in other studies. Many factors may contribute to the high proportion of improper use of anticoagulants, and further investigations are needed to determine these factors. In any case, elimination of these factors leading to a failure of anticoagulation may decrease the incidence of stroke. Orv. Hetil., 2012, 153, 732–736.

Risk factor profile associated with major ischemic stroke subtypes in patients managed in a comprehensive stroke unit

2020 ◽  
Vol 0 (3) ◽  
pp. 7-14
Author(s):  
Y. V. Flomin ◽  
G. S. Trepet ◽  
V. G. Gurianov ◽  
L. I. Sokolova
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Stroke Unit ◽  
Risk Factor Profile ◽  
Stroke Subtypes

High Risk of One-year Stroke Recurrence in Patients with Younger Age and Prior History of Ischemic Stroke

2019 ◽  
Vol 16 (3) ◽  
pp. 250-257 ◽  
Author(s):  
Jiann-Der Lee ◽  
Ya-Han Hu ◽  
Meng Lee ◽  
Yen-Chu Huang ◽  
Ya-Wen Kuo ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Stroke Recurrence ◽  
Prior History ◽  
Multivariate Logistic Regression ◽  
Cart Analysis ◽  
Younger Age ◽  
History Of ◽  
One Year

Background and Purpose: Recurrent ischemic strokes increase the risk of disability and mortality. The role of conventional risk factors in recurrent strokes may change due to increased awareness of prevention strategies. The aim of this study was to explore the potential risk factors besides conventional ones which may help to affect the advances in future preventive concepts associated with one-year stroke recurrence (OSR). Methods: We analyzed 6,632 adult patients with ischemic stroke. Differences in clinical characteristics between patients with and without OSR were analyzed using multivariate logistic regression and classification and regression tree (CART) analyses. Results: Among the study population, 525 patients (7.9%) had OSR. Multivariate logistic regression analysis revealed that male sex (OR 1.243, 95% CI 1.025 – 1.506), age (OR 1.015, 95% CI 1.007 - 1.023), and a prior history of ischemic stroke (OR 1.331, 95% CI 1.096 – 1.615) were major factors associated with OSR. CART analysis further identified age and a prior history of ischemic stroke were important factors for OSR when classified the patients into three subgroups (with risks of OSR of 8.8%, 3.8%, and 12.5% for patients aged > 57.5 years, ≤ 57.5 years/with no prior history of ischemic stroke, and ≤ 57.5 years/with a prior history of ischemic stroke, respectively). Conclusions: Male sex, age, and a prior history of ischemic stroke could increase the risk of OSR by multivariate logistic regression analysis, and CART analysis further demonstrated that patients with a younger age (≤ 57.5 years) and a prior history of ischemic stroke had the highest risk of OSR.

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