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
Neurology ◽  
2012 ◽  
Vol 78 (Meeting Abstracts 1) ◽  
pp. P01.244-P01.244
Author(s):  
A. M. Cervantes-Arslanian ◽  
H. Lau ◽  
J. Romero ◽  
T. Nguyen ◽  
V. Babikian ◽  
...  

2000 ◽  
Vol 102 (4) ◽  
pp. 264-270 ◽  
Author(s):  
A. Arboix ◽  
C. Morcillo ◽  
L. Garcia-Eroles ◽  
M. Oliveres ◽  
J. Massons ◽  
...  

2014 ◽  
Vol 120 ◽  
pp. 78-83 ◽  
Author(s):  
Aude Jaffre ◽  
Jean Bernard Ruidavets ◽  
Lionel Calviere ◽  
Alain Viguier ◽  
Jean Ferrieres ◽  
...  

Stroke ◽  
2010 ◽  
Vol 41 (4) ◽  
pp. 624-629 ◽  
Author(s):  
Caroline A. Jackson ◽  
Aidan Hutchison ◽  
Martin S. Dennis ◽  
Joanna M. Wardlaw ◽  
Arne Lindgren ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Salim Harris ◽  
Saleha Sungkar ◽  
Al Rasyid ◽  
Mohammad Kurniawan ◽  
Taufik Mesiano ◽  
...  

Background and Purpose. Stroke is a leading cause of death and disability, with ischemic stroke as the highest prevalent cases in Indonesia. Ischemic stroke can be classified further into five subtypes according to TOAST classification. Numerous studies have revealed that stroke risk factor has variable correlation with different stroke subtype. Currently, there is no data regarding this phenomenon in Indonesia. The aim of study is to identify characteristic of ischemic stroke subtypes and the risk factors in TOAST classification. Methods. A retrospective, cross-sectional study of patients diagnosed with ischemic stroke at Cipto Mangunkusumo Hospital from January till December 2016. Demographic data, ischemic stroke subtypes, risk factors, and other relevant data were documented. Bivariate and multivariate analysis was done using SPSS 23. Results. 235 recorded data patients were included. Large artery atherosclerosis (LAA) was the most prevalent stroke subtypes at 59,6%, followed with small vessel disease (SVD) at 26,7%, undetermined etiology at 9,8%, cardioembolism (CE) at 2,1%, and other determined etiology at 0,9%. Hypertension was the most common vascular risk factor. However, it was only significant in SVD (p=0,023) and undetermined etiology subtypes (p<0,001). Significant risk factor in LAA was diabetes (55%; p=0,016) while in CE subtypes was atrial fibrillation (60%;p<0,001). In multivariate analyses, hypertension (OR 3; 95% CI 1,12-8,05) was the only variable that was related to SVD while in CE it was atrial fibrillation (OR 113,5; 95% CI 13,6-946,5). Conclusion. LAA was the most common stroke ischemic subtypes. Associated risk factor in LAA was diabetes while in SVD and undetermined etiology subtypes it was hypertension. Atrial fibrillation was associated with cardioembolism.


Neurology ◽  
2020 ◽  
Vol 95 (1) ◽  
pp. e79-e88 ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D. Schirmer ◽  
Adrian V. Dalca ◽  
Ramesh Sridharan ◽  
Kathleen L. Donahue ◽  
...  

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.


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