scholarly journals Using Ultrasound and Inflammation to Improve Prediction of Ischemic Stroke: A Secondary Analysis of the Multi-Ethnic Study of Atherosclerosis

2021 ◽  
pp. 37-43
Author(s):  
Hediyeh Baradaran ◽  
Alen Delic ◽  
Ka-Ho Wong ◽  
Nazanin Sheibani ◽  
Matthew Alexander ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Goodness Of Fit ◽  
Primary Outcome ◽  
Stroke Risk ◽  
Secondary Analysis ◽  
Predictor Variables ◽  
Baseline Model ◽  
Fit Statistics ◽  
Ischemic Stroke Risk

Introduction: Current ischemic stroke risk prediction is primarily based on clinical factors, rather than imaging or laboratory markers. We examined the relationship between baseline ultrasound and inflammation measurements and subsequent primary ischemic stroke risk. Methods: In this secondary analysis of the Multi-Ethnic Study of Atherosclerosis (MESA), the primary outcome is the incident ischemic stroke during follow-up. The predictor variables are 9 carotid ultrasound-derived measurements and 6 serum inflammation measurements from the baseline study visit. We fit Cox regression models to the outcome of ischemic stroke. The baseline model included patient age, hypertension, diabetes, total cholesterol, smoking, and systolic blood pressure. Goodness-of-fit statistics were assessed to compare the baseline model to a model with ultrasound and inflammation predictor variables that remained significant when added to the baseline model. Results: We included 5,918 participants. The primary outcome of ischemic stroke was seen in 105 patients with a mean follow-up time of 7.7 years. In the Cox models, we found that carotid distensibility (CD), carotid stenosis (CS), and serum interleukin-6 (IL-6) were associated with incident stroke. Adding tertiles of CD, IL-6, and categories of CS to a baseline model that included traditional clinical vascular risk factors resulted in a better model fit than traditional risk factors alone as indicated by goodness-of-fit statistics. Conclusions: In a multiethnic cohort of patients without cerebrovascular disease at baseline, we found that CD, CS, and IL-6 helped predict the occurrence of primary ischemic stroke. Future research could evaluate if these basic ultrasound and serum measurements have implications for primary prevention efforts or clinical trial inclusion criteria.

Abstract 47: Using Ultrasound and Inflammation to Improve Prediction of Ischemic Stroke: A Secondary Analysis of MESA

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Adam H de Havenon ◽  
Ka-Ho Wong ◽  
J Scott McNally ◽  
Jennifer Majersik
Keyword(s):  
Ischemic Stroke ◽  
Total Cholesterol ◽  
Primary Outcome ◽  
Epidemiologic Study ◽  
Secondary Analysis ◽  
Serum Marker ◽  
Patient Age ◽  
Cox Models ◽  
Patient Âgé

Background: The Multi-Ethnic Study of Atherosclerosis (MESA) is a large prospective epidemiologic study of the clinical factors that can predict transition from asymptomatic to symptomatic cardiovascular disease. Although prior studies have looked at ischemic stroke, they have not systematically examined the relationship between baseline ultrasound and inflammation measurements and subsequent primary stroke risk. Methods: The primary outcome is incident ischemic stroke during follow-up. The predictors are 9 ultrasound-derived measurements and 5 serum measurements related to inflammation. We fit Cox models to ischemic stroke and adjusted for patient age, hypertension, diabetes, total cholesterol, and smoking. Using DeLong’s method, we compared the AUC of the baseline adjusted model to the AUC of the model with predictor variables that were significant in the Cox models, to determine if they improved stroke prediction. Results: We included 6,095 patients with an average age of 61.9 years. The primary outcome of ischemic stroke was seen in 107 patients (1.8%) and the mean follow-up time was 7.7 years. In the Cox models, we found that small artery elasticity (SAE), carotid distensibility (CD), carotid stenosis (CS), and interleukin-6 (IL6) were associated with incident stroke. The AUC of the baseline model to predict stroke, which included patient age, hypertension, diabetes, total cholesterol, and smoking, was 0.745. When we added tertiles of SAE, CD, IL6 and categories of CS, the AUC improved to 0.765 (p=0.021 for difference). Conclusions: In a multiethnic cohort of patients without CVD at baseline, we found several ultrasound measurements and a serum marker of inflammation which predicted the occurrence of a primary ischemic stroke. Adding these basic ultrasound and serum measurements significantly improved the prediction of stroke, which could have implications for primary prevention efforts.

Comparable risk of ischemic stroke in patients with screen-detected atrial fibrillation on single timepoint handheld ECG screening to patients with known AF

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
W Sun ◽  
B Freedman ◽  
C Martinez ◽  
C Wallenhorst ◽  
B.P.Y Yan
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Anticoagulation Therapy ◽  
Clinic Visit ◽  
Initial Screening ◽  
Subdistribution Hazard ◽  
Ischemic Stroke Risk ◽  
Similar Risk

Abstract Aims To determine risk of ischemic stroke in patients with single timepoint screen-detected atrial fibrillation (AF). Methods Cohort of 11,972 consecutive patients aged ≥65 years attending medical outpatient clinics in Hong Kong underwent AF screening using a handheld single-lead ECG (AliveCor) from Dec 2014 to Dec 2017 (NCT02409654). Repeated screening was performed in patients who had >1 clinic visit during the study period. Cohort was divided into 4 exposure groups: (i) new AF detected by initial screening (S1-AF); (ii) new AF detected by subsequent screening or clinically diagnosed during follow up (FU-AF); (iii) known AF and (iv) no initial or subsequent FU-AF (no AF). Exposure in the FU-AF group was handled as a time-dependent variable. All AF exposure groups were further stratified by oral anticoagulant (OAC) use at the end of FU. Cumulative incidence of ischemic stroke was compared between groups during a median FU period of 2.3 (IQR=1.7–3.3) years, using Fine and Gray regression accounting for death as competing risk and using no AF as reference. Results Of 11,972 subjects enrolled, 2,236 (18.7%) had known AF and 9,736 (81.3%) underwent 13,571 screening events during the study period. The yield of newly diagnosed AF on initial screening was 2.3% (n=223/9,736), with 71 new AF detected by subsequent screening. During FU, 2.3% (221/9,442) screen-negative patients were diagnosed with AF clinically. Compared to no AF, S1-AF without OAC had the highest ischemic stroke risk (subdistribution hazard ratio (SHR)=2.79; 1.47–5.27), then FU-AF without OAC (SHR=2.66; 1.21–5.82) and known AF without OAC (SHR=1.97; 1.50–2.57). All AF groups taking OAC had similar risk of ischemic stroke as no AF. Conclusion This is the first study to report the prognosis of AF detected by single timepoint screening. The prognosis is not benign. Both risks of stroke and benefits from anticoagulation therapy were similar between screen-detected and known AF. Funding Acknowledgement Type of funding source: None

Atrial Fibrillation Detected by Single Timepoint Handheld ECG Screening and the Risk of Ischemic Stroke

2021 ◽  
Author(s):  
Wen Sun ◽  
Ben FREEDMAN ◽  
Carlos Martinez ◽  
Christopher Wallenhorst ◽  
Bryan Yan
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Multivariate Regression ◽  
Stroke Risk ◽  
Oral Anticoagulants ◽  
Outpatient Clinics ◽  
Initial Screening ◽  
Hazard Ratios ◽  
Ischemic Stroke Risk

ABSTRACT Objective: We evaluated stroke risk in patients with single timepoint screen-detected atrial fibrillation (AF) and the effect of oral anticoagulants (OAC). Methods: Consecutive patients aged ≥65 years attending medical outpatient clinics were prospectively enrolled for AF-screening using handheld single-lead ECG (AliveCor) from 12/2014 to 12/2017 (NCT02409654). Repeated screening was performed in patients with >1 visit during this period. Three cohorts were formed, screen-detected AF, clinically-diagnosed AF and no AF. Ischemic stroke risk was estimated using adjusted sub-distribution hazard ratios (aSHR) from multivariate regression and no AF as reference, and stratified according to OAC use. Results: Of 11,972 subjects enrolled, 2,238 (18.7%) had clinically-diagnosed AF at study enrollment. The yield of screen-detected AF on initial screening was 2.3% (n=223/9,734). AF was clinically-diagnosed during follow-up in 2.3% (n=216/9,440) and during subsequent screening in 71 initially screen-negative patients. Compared to no AF, patients with screen-detected AF without OAC treatment had the highest stroke risk (aSHR 2.63; 95% confidence interval 1.46-4.72), while aSHR for clinically-diagnosed AF without OAC use was 2.01 (1.54-2.62). Among screen-detected AF the risk of stroke was significantly less with OAC (no strokes in 196 person-years) compared with those not given OAC (12 strokes in 429 person-years), p=0.01. Conclusion: The prognosis of single timepoint ECG screen-detected AF is not benign. The risk of stroke is high enough to warrant OAC use, and reduced by OAC. Keywords: atrial fibrillation, screening, ischemic stroke

scholarly journals Ischemic stroke risk during long-term follow up in patients with successful catheter ablation for atrial fibrillation in Korea

PLoS ONE ◽  
2018 ◽  
Vol 13 (7) ◽  
pp. e0201061 ◽  
Author(s):  
Dong-Hyeok Kim ◽  
Dae-In Lee ◽  
Jinhee Ahn ◽  
Kwang-No Lee ◽  
Seung-Young Roh ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Catheter Ablation ◽  
Stroke Risk ◽  
Long Term Follow Up ◽  
Ischemic Stroke Risk

scholarly journals Impact of Pre-eclampsia/eclampsia on Hemorrhagic and Ischemic Stroke Risk: A 17 years Follow-up Nationwide Cohort Study

2021 ◽  
Author(s):  
Chi-Jou Chuang ◽  
Wen-Yen Chiou ◽  
Hsuan-Ju Yang ◽  
Shih-Kai Hung ◽  
Moon-Sing Lee ◽  
...  
Keyword(s):  
Cohort Study ◽  
Ischemic Stroke ◽  
Time Trend ◽  
Hemorrhagic Stroke ◽  
Stroke Risk ◽  
Research Database ◽  
Exact Matching ◽  
Ischemic Stroke Risk

Objective No study ever investigated the long-term risk of stroke in women with pre-eclampsia/eclampsia. The purpose of this study is to explore long-term stroke risks, differentiating subtypes and their time trends. Design Nationwide population-based cohort study Methods Between 2000 and 2017, 1,384,427 pregnant women were registered in the National Health Insurance Research Database in Taiwan. After excluding women with previous stroke history and exact matching with all confounders, 6,053 women with pre-eclampsia/eclampsia and 24,212 controls were recruited. Main Outcome Measures Hemorrhagic and ischemic strokes after child-birth Results Over the 17-year follow-up, the adjusted hazard ratio (aHR) for stroke in women with a history of pre-eclampsia/eclampsia was 2.05 (95% confidence interval, CI = 1.67-2.52, p<0.001). The 17 years overall risks of both ischemic and hemorrhagic stroke were 1.98 and 3.45, respectively (p<0.001). The stroke subtypes, hemorrhagic and ischemic, had different time trend risks, and hemorrhagic stroke risks kept higher than that of ischemic stroke. The ischemic stroke risk peaked during 1-3 years after childbirth (aHR=3.09). The hemorrhagic stroke risk peaked during 3-5 years (aHR=7.49). Conclusions Stroke risk persisted even after decades, for both ischemic and hemorrhagic subtypes. Women with pre-eclampsia/eclampsia history should be aware of the long-term risk of stroke. Tweetable abstract Both ischemic and hemorrhagic stroke risks persisted high even after decades, while their time trend risks were different. Keywords: pre-eclampsia/eclampsia; ischemic stroke; hemorrhagic stroke

scholarly journals Relationship of aging and incident comorbidities to stroke risk in 594,169 Patients with atrial fibrillation: a nationwide analysis

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Fauchier ◽  
A Bisson ◽  
A Bodin ◽  
J Herbert ◽  
P Spiesser ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Adverse Outcomes ◽  
Baseline Risk ◽  
Stroke Risk Factor ◽  
Ischemic Stroke Risk ◽  
Relationship Of ◽  
Better Than

Abstract Background When assessing ischemic stroke risk in patients with atrial fibrillation (AF), the CHA2DS2-VASc score is calculated based on the baseline risk factors, and the outcomes are determined after a follow-up period. However, the stroke risk in patients with AF does not remain static, and with time, patients get older and accumulate more comorbidities. This study hypothesized that the “Delta CHA2DS2-VASc score”, which reflects the change in score between baseline and follow-up, may be predictive of ischemic stroke compared with the baseline or follow-up assessments of the CHA2DS2-VASc score. Methods Based on the France nationwide administrative hospital-discharge database, we collected information for all patients treated with AF between 2010 and 2019 in France. Adverse outcomes were investigated during follow-up. A total of 594,169 patients with AF who did not have comorbidities of the CHA2DS2-VASc score except for age and sex, were studied. The Delta CHA2DS2-VASc score was defined as the change/difference between the baseline and follow-up CHA2DS2-VASc scores. During 1,290,721 person-years, 19,492 patients experienced ischemic stroke. The accuracies of baseline, follow-up, and Delta CHA2DS2-VASc scores in predicting ischemic stroke were analysed and compared. Results The mean baseline CHA2DS2-VASc score was 1.69, which increased to 2.33 during the follow-up, with a mean Delta CHA2DS2-VASc score of 0.64. The CHA2DS2-VASc score increased in 39.8% of patients. Among 19,492 patients who experienced ischemic stroke, 66.0% had a Delta CHA2DS2-VASc score ≥1 compared with only 38.9% in patients without ischemic stroke, and 5,811 (29.8%) patients had ≥2 new-onset comorbidity, the most common being hypertension. The follow-up CHA2DS2-VASc score and Delta CHA2DS2-VASc score were significant predictors of ischemic stroke (C-index 0.670 95% CI 0.667–0.674 and 0.637 95% CI 634–641 respectively) that performed better than baseline CHA2DS2-VASc score (C-index 0.613 95% CI 0.609–0.616, p&lt;0.0001 for DeLong test). Conclusions In this AF cohort, we found that stroke risk (CHA2DS2-VASc score) was non-static, and that many patients developed ≥1 new stroke risk factor(s) before presentation with ischemic stroke. The follow-up CHA2DS2-VASc score and its change (ie Delta CHA2DS2-VASc, reflecting the change in stroke risk profile between baseline and follow-up) were better predictors of ischemic stroke than relying on the baseline CHA2DS2-VASc score. This emphasises how stroke risk in AF is a dynamic process due to increasing age and incident comorbidities, and regular re-assessment of risk is needed. Funding Acknowledgement Type of funding source: None

CYP2B6 Polymorphisms Are Associated with Ischemic Stroke Risk in a Chinese Han Population

2020 ◽  
Vol 70 (7) ◽  
pp. 1130-1139
Author(s):  
Guolong Tu ◽  
Wenliang Zhan ◽  
Yao Sun ◽  
Jiamin Wu ◽  
Zichao Xiong ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Stroke Risk ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population ◽  
Ischemic Stroke Risk

Abstract T P153: Women and Men with Ischemic Stroke in SiGN Have Different Subtype Distributions and Risk Factors

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Kathryn M Rexrode ◽  
Braxton D Mitchell ◽  
Kathleen A Ryan ◽  
Steven J Kittner ◽  
Hakan Ay ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Cardioembolic Stroke ◽  
Relative Distribution ◽  
Large Artery ◽  
Stroke Risk Factors ◽  
Stroke Subtypes ◽  
Small Artery Occlusion ◽  
Ischemic Stroke Risk

Introduction: The relative distribution of stroke risk factors, as well as ischemic stroke subtypes, in women compared with men is not well described. Hypothesis: We hypothesized that the distribution of ischemic stroke risk factors and subtypes would differ by sex, with a later onset in women and greater proportion of comorbidities. Methods: The NINDS Stroke Genetics Network (SiGN) consortium was established to evaluate genetic risk factors for ischemic stroke. A total of 23 separate studies performed Causative Classification of Stroke (CCS) typing using standardized criteria on ischemic stroke cases and contributed data on risk factors. We compared the distribution of ischemic stroke risk factors and CCS phenotypes between men and women with ischemic stroke. Results: Of the 16,228 ischemic strokes in SiGN, 8005 (49.3%) occurred in women. Median age at stroke was older in female than male stroke cases (73 vs. 66 years) (p=<0.0001). Among stroke cases, women were more likely than men cases to have hypertension or atrial fibrillation and less likely to have diabetes or coronary artery disease, or to smoke (p <0.003 for all). The distribution of stroke subtypes also differed by sex, with women less likely than men to have large artery infarction and small artery occlusion, and more likely to have cardioembolic stroke and undetermined stroke due to incomplete work-up (p values all <0.0001; see Table). Results were similar when the distribution of stroke subtypes was examined for those <70 years and ≥70 years, except for cardioembolic stroke remaining more common only among women ≥70. Conclusions: In this large group of carefully phenotyped ischemic strokes, the distribution of ischemic stroke subtypes and risk factor profiles differ significantly by sex. Evaluation of the causes of these differences may highlight areas for improved prevention and risk reduction in both genders.

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