Different vascular risk factor profiles in ischemic stroke subtypes: a study fromthe "Sagrat Cor Hospital of Barcelona Stroke Registry"

2000 ◽  
Vol 102 (4) ◽  
pp. 264-270 ◽  
Author(s):  
A. Arboix ◽  
C. Morcillo ◽  
L. Garcia-Eroles ◽  
M. Oliveres ◽  
J. Massons ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Vascular Risk Factor ◽  
Vascular Risk ◽  
Stroke Registry ◽  
Stroke Subtypes

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.

Abstract 121: Vascular Risk Factor Control in the Year After Ischemic Stroke Versus Myocardial Infarction

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Dawn M Bravata ◽  
Jared Brosch ◽  
Jason Sico ◽  
Fitsum Baye ◽  
Laura Myers ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Standard Deviation ◽  
Vascular Risk Factor ◽  
Vascular Risk ◽  
Hypertension Control ◽  
Stroke Patients ◽  
Risk Factor Control ◽  
Facility Level

Background: The Veterans Health Administration has multiple quality improvement activities directed at improving vascular risk factor control. We sought to examine facility quality of blood pressure (BP) control (<140/90 mm Hg), lipid control (LDL-cholesterol <100 mg/dL) and glycemic control (HbA1c <9%) in the one-year after hospitalization for ischemic stroke or acute myocardial infarction (AMI). Methods: We assembled a retrospective cohort of patients hospitalized with stroke or AMI (fiscal year 2011). Facilities were included if they admitted ≥25 stroke patients and ≥25 AMI patients. A facility-level consolidated measure of vascular risk factor control was calculated for the 3 processes of care (number of passes divided by number of opportunities). Results: A total of 2432 patients had a new stroke and 4873 had a new primary AMI (at 75 facilities). Stroke patients had worse vascular risk factor control than AMI patients (mean facility rate on consolidated measure: stroke, 70% [95%CI 0.68-0.72] vs AMI, 77% [0.75-0.78]). The greatest disparity between stroke and AMI patients was in hypertension control: at 87% of hospitals, fewer stroke patients achieved BP control than AMI patients (mean facility pass rate: stroke, 41% vs AMI, 52%; p<0.0001). Overall there were no statistical differences for stroke versus AMI patients in facility-level hyperlipidemia control (71% vs 73%, p=0.33) and glycemic control (79% versus 82%, p=0.24). AMI patients had more outpatient visits than stroke patients in the year after discharge [AMI: mean 7.9 visits (standard deviation 6.1)]; stroke: mean 6.0 visits (standard deviation 4.5; p<0.0001].); the primary difference in outpatient utilization was additional cardiology visits for AMI patients (2.5 visits with cardiology per AMI patient vs 0.4 visits per stroke patient; p<0.001). Conclusions: These results demonstrated clinically substantial disparities in hypertension control among patients with stroke vs patients with AMI. It may be that cardiologists provided risk factor management to AMI patients that stroke patients did not receive. The etiology of these observed differences merits additional investigation.

scholarly journals The comparison of traditional vascular risk factor between hemorrhagic and non-hemorrhagic stroke

2017 ◽  
Vol 8 (6) ◽  
pp. 5-8
Author(s):  
Rizaldy Taslim Pinzon ◽  
Rosa De Lima Renita Sanyasi ◽  
Andre Dharmawan Wijono
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Protective Factor ◽  
Hemorrhagic Stroke ◽  
Sample Size Calculation ◽  
Vascular Risk Factor ◽  
Vascular Risk Factors ◽  
Vascular Risk ◽  
Significance Level ◽  
Stroke Registry

Background: Understanding about risk factors of stroke based on its pathology is very important. Previous study about the vascular risk factors in patients with stroke in Indonesia is very limited.Aims and Objective: Measure the comparison between traditional vascular risk factors in patients with hemorrhagic stroke and non-hemorrhagic (ischemic) stroke.Materials and Methods: This was a nested case-control study using secondary data from electronic medical record and electronic stroke registry of Bethesda Hospital Yogyakarta Indonesia. The stroke was diagnosed with standard way by well-trained neurologist and confirmed with CT Scan. The traditional risk factors were defined systematically. We used Dupont Power and Sample Size calculation software and StatCal EpiInfo software with significance level 0,05.Result: The data of 200 subjects consisted of 100 patients with hemorrhagic stroke and 100 patients with non-hemorrhagic stroke. Hypertension was main vascular risk factor in both Group but it was more common in hemorrhagic stroke (OR: 2,528, 95% CI: 0,069 ; 0,316, p < 0,002). Dyslipidemia was a protective factor against hemorrhagic stroke (OR: 0,147, 95% CI: 1,415 ; 4,516, p < 0,001). Diabetes was more common in ischemic stroke compared with hemorrhagic stroke (68% and 32%) respectively.Conclusion: Hypertension, dyslipidemia, and diabetes were modifiable traditional vascular risk factors which significantly had effect on stroke. Asian Journal of Medical Sciences Vol.8(6) 2017 5-8

Abstract T P165: Women Had Worse Stroke Outcome

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Claudia Alonzo ◽  
Maria C Zurru ◽  
Laura Brescacin ◽  
Santiago Pigretti ◽  
Pedro Colla Machado ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Vascular Risk Factor ◽  
Stroke Outcome ◽  
Vascular Risk ◽  
Stroke Patients ◽  
Stroke Outcomes ◽  
Post Stroke ◽  
Artery Disease

Background: women who have ischemic strokes are on average older than men.Several studies, however, show that stroke outcomes are worse in women even after adjusting for age, and the specific conditions that contribute to this outcome are poorly known. Our objective was to evaluate post-stroke disability and mortality after ischemic stroke in women. Methods: acute ischemic stroke patients were prospectively included in a multidisciplinary secondary stroke prevention program. Pre-stroke vascular risk factor profile and control were obtained from electronic records; disability (modified Rankin scale) were evaluated one month after stroke. Results: fifty seven percent of the 1194 ischemic stroke patients prospectively included between December 2006 and December 2013 were women. They were older, more probably hypertensive, dislipidemic and diabetic, and had higher incidence of atrial fibrillation, while men had higher prevalence of obesity, metabolic syndrome, smoking, and history of coronary heart disease and peripheral artery disease. Pre-stroke vascular risk factor control and management are shown in table 1. Women had worst outcome than men: mRankin >1 (66% women vs 52% men, p 0.0001), 30-day mortality (4% women vs 2% men, p 0.04), composite disability + mortality (52% women vs 36% men, p 0.0001). After adjusting by age women still had higher risk of disability and mortality: m-Rankin >1 (OR 1.40, 95%CI 1.05-1.87; p 0.02); mortality (OR 1.64, 95%CI 0,98-2,74), and composite disability + mortality (OR 1.59, 95%CI 1.22-2.07; p 0.004). Conclusion: in our cohort women have worst post-stroke outcome, even though they have higher burden of vascular risk factors they have lower prevalence of vascular disease in other vascular beds previous to stroke. This difference persists after adjusting by age, raising the possibility of specific gender risk factors influencing on ischemic stroke outcomes.

scholarly journals Alternative Splicing of Putative Stroke/Vascular Risk Factor Genes Expressed in Blood Following Ischemic Stroke Is Sexually Dimorphic and Cause-Specific

2020 ◽  
Vol 11 ◽  
Author(s):  
Cheryl Dykstra-Aiello ◽  
Frank R. Sharp ◽  
Glen C. Jickling ◽  
Heather Hull ◽  
Farah Hamade ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
Alternative Splicing ◽  
Vascular Risk Factor ◽  
Sexually Dimorphic ◽  
Vascular Risk

scholarly journals Opportunities and Limitations of Vascular Risk Factor Models in Studying Plasticity-Promoting and Restorative Ischemic Stroke Therapies

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Dirk M. Hermann ◽  
Thorsten R. Doeppner ◽  
Aurel Popa-Wagner
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Brain Plasticity ◽  
Experimental Studies ◽  
Vascular Risk Factor ◽  
Factor Models ◽  
Vascular Risk ◽  
Short Lifespan ◽  
Risk Factor Models

Major efforts are currently made promoting neuronal plasticity and brain remodeling in the postacute stroke phase. Experimental studies evaluating new stroke therapies are mostly performed in rodents, which compared to humans exhibit a short lifespan. These studies widely employ young, otherwise healthy, rodents that lack the vascular risk factors and comorbidities of stroke patients. These risk factors compromise postischemic neurological recovery and brain plasticity and in several contexts reduce the brain responsiveness to recovery-inducing plasticity-promoting treatments. By examining risk factor models, which have hitherto been used for studying experimentally induced ischemic stroke, this review outlines the possibilities and limitations of risk factor models in the evaluation of plasticity-promoting and restorative stroke treatments.

scholarly journals Demographic and Geographic Vascular Risk Factor Differences in European Young Adults With Ischemic Stroke

Stroke ◽  
2012 ◽  
Vol 43 (10) ◽  
pp. 2624-2630 ◽  
Author(s):  
Jukka Putaala ◽  
Nilufer Yesilot ◽  
Ulrike Waje-Andreassen ◽  
Janne Pitkäniemi ◽  
Sofia Vassilopoulou ◽  
...  
Keyword(s):  
Young Adults ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Vascular Risk Factor ◽  
Vascular Risk

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
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