Coronary Artery Disease and Ischemic Stroke in Atrial Fibrillation

CHEST Journal ◽  
2007 ◽  
Vol 132 (1) ◽  
pp. 8-10 ◽  
Author(s):  
Gregory Y.H. Lip
Keyword(s):  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Ischemic Stroke ◽  
Coronary Artery ◽  
Artery Disease

scholarly journals Association between gallstone disease and ischemic stroke in Korea

2021 ◽  
Vol 26 (4) ◽  
pp. 649-655
Author(s):  
Eun Sun Gill ◽  
Young Jin Jeong ◽  
Junyong Lee
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Ischemic Stroke ◽  
Coronary Artery ◽  
Odds Ratio ◽  
Obstructive Coronary Artery Disease ◽  
Gallstone Disease ◽  
Smoking History ◽  
Artery Disease

Background & Objectives: In Korea, stroke incidence is projected to rise due to the rapid aging of the Korean population. Additionally, gallstone disease incidence is increasing in Korea, due to dietary and westernized lifestyle. In this cross-sectional study, we investigated the association between gallstone disease and ischemic stroke in Korea. Methods: We included 566 patients aged 40‒89 years who underwent abdominal ultrasound or abdominal computed tomography at the VHS Medical Center between January 2008 and December 2010. Patient records were reviewed for the presence of hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, obstructive coronary artery disease, and smoking history. The associations between risk factors, including gallstone disease, and ischemic stroke were analyzed using Pearson’s chi-square tests. Multiple logistic regression analysis was performed with age, sex, smoking history, hypertension, obstructive coronary artery disease, and atrial fibrillation as covariates. Results: Age, sex, hypertension, obstructive coronary artery disease, atrial fibrillation, and smoking history were identified as significant risk factors for ischemic stroke (p-value < 0.05). Gallstone disease demonstrated an unadjusted odds ratio for ischemic stroke of 2.171 (95% confidence interval, 1.264‒3.729); after adjustment for risk factors, the odds ratio was 2.015 (95% confidence interval, 1.151‒3.528). Conclusion: In Korean patients, gallstone disease and ischemic stroke are correlated. Despite an unclear causality, the risk for ischemic stroke is significantly increased in patients with gallstone disease, even after adjusting for various confounders. Clinicians should be aware of the possibility of ischemic stroke in patients with gallstone disease, and should manage and educate patients accordingly.

A cross-sectional study for risk factor model predictive for developing ischemic stroke: a clinical pharmacist’s approach

2021 ◽  
Author(s):  
Adel Sadeq ◽  
Asim Ahmed Elnour ◽  
Nadia Al Mazrouei ◽  
Mohamed Baraka
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Ischemic Stroke ◽  
Coronary Artery ◽  
Outcome Measure ◽  
Cross Sectional ◽  
History Of ◽  
Artery Disease

Abstract BackgroundThere is a paucity of studies in ischemic stroke in our region.Aim The aim of the current study was to delineate the potentially risk factors for the development of ischemic stroke. MethodsWe have conducted a cross-sectional hospital-based study that has enrolled 210 subjects. The subjects have had presented to the emergency department in a tertiary hospital at the United Arab Emirates. Subjects were diagnosed with ischemic stroke within 24 hours of presentation. Outcome measureThe main outcome measure was the development of ischemic stroke during indexed hospital visit.ResultsThe mean age was 47.5 ±3.2 with higher preponderance of males over females (60.9%) and 48.1% were ≥65 years. The final logistic regression model for the development of ischemic stroke contains seven variables. In descending order the seven predictive risk factors for the development of ischemic stroke were: hypertension (OR 6.1, CI 2.4-9.5; P =0.029), coronary artery disease (OR 4.2, 3.7-9.1; P =0.038), low physical activity (OR 4.2, CI 2.1-9.1; P =0.035), history of previous stroke (OR 4.1, 1.4-3.4; P =0.033), atrial fibrillation (OR 3.2, CI 2.6-8.2; P =0.017), family history of stroke (OR 3.1, 1.3-6.9; P =0.042) and diabetes mellitus (OR 2.7, CI 1.25-6.1; P =0.035). The specificity of the model was 54.2%, the sensitivity was 89.7%, and the overall accuracy was 77.3%.ConclusionIt is prudent to control the modifiable risk factors for the development of stroke such as hypertension, diabetes, atrial fibrillation, coronary artery disease and low physical activity.

scholarly journals Physical activity, sedentary behavior and risk of coronary artery disease, myocardial infarction and ischemic stroke: a two-sample Mendelian randomization study

2021 ◽  
Author(s):  
Martin Bahls ◽  
Michael F. Leitzmann ◽  
André Karch ◽  
Alexander Teumer ◽  
Marcus Dörr ◽  
...  
Keyword(s):  
Physical Activity ◽  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Ischemic Stroke ◽  
Coronary Artery ◽  
Sedentary Behavior ◽  
Mendelian Randomization ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Artery Disease

Abstract Aims Observational evidence suggests that physical activity (PA) is inversely and sedentarism positively related with cardiovascular disease risk. We performed a two-sample Mendelian randomization (MR) analysis to examine whether genetically predicted PA and sedentary behavior are related to coronary artery disease, myocardial infarction, and ischemic stroke. Methods and results We used single nucleotide polymorphisms (SNPs) associated with self-reported moderate to vigorous PA (n = 17), accelerometer based PA (n = 7) and accelerometer fraction of accelerations > 425 milli-gravities (n = 7) as well as sedentary behavior (n = 6) in the UK Biobank as instrumental variables in a two sample MR approach to assess whether these exposures are related to coronary artery disease and myocardial infarction in the CARDIoGRAMplusC4D genome-wide association study (GWAS) or ischemic stroke in the MEGASTROKE GWAS. The study population included 42,096 cases of coronary artery disease (99,121 controls), 27,509 cases of myocardial infarction (99,121 controls), and 34,217 cases of ischemic stroke (404,630 controls). We found no associations between genetically predicted self-reported moderate to vigorous PA, accelerometer-based PA or accelerometer fraction of accelerations > 425 milli-gravities as well as sedentary behavior with coronary artery disease, myocardial infarction, and ischemic stroke. Conclusions These results do not support a causal relationship between PA and sedentary behavior with risk of coronary artery disease, myocardial infarction, and ischemic stroke. Hence, previous observational studies may have been biased. Graphic abstract

scholarly journals Prevalence, Epidemiological Characteristics, and Pharmacotherapy of Coronary Artery Disease among Patients with Atrial Fibrillation: Data from Jo-Fib Study

Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 605
Author(s):  
Hanna K. Al-Makhamreh ◽  
Mohammed Q. Al-Sabbagh ◽  
Ala’ E. Shaban ◽  
Abdelrahman F. Obiedat ◽  
Ayman J. Hammoudeh
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Antiplatelet Agents ◽  
Retrospective Case ◽  
Increased Risk ◽  
Artery Disease ◽  
Epidemiological Characteristics ◽  
Cad Risk

Background and Objectives: Patients with AF are at increased risk for Coronary Artery Disease (CAD) owing to their shared etiologies and risk factors. This study aimed to assess the prevalence, cardiovascular risk factors, and used medications of CAD in AF patients. Materials and Methods: This retrospective, case-control study utilized data from the Jordanian Atrial Fibrillation (Jo-Fib) registry. Investigators collected clinical features, history of co-existing comorbidities, CHA2DS2-VASc, and HAS BLED scores for all AF patients aged >18 visiting 19 hospitals and 30 outpatient cardiology clinics. A multivariable binary logistic regression was used to asses for factors associated with higher odds of having CAD. Results: Out of 2000 patients with AF, 227 (11.35%) had CAD. Compared to the rest of the sample, those with CAD had significantly higher prevalence of hypertension (82.38%; p < 0.01), hypercholesterolemia (66.52%, p < 0.01), diabetes (56.83%, p < 0.01), and smoking (18.06%, p = 0.04). Patients with AF and CAD had higher use of anticoagulants/antiplatelet agents combination (p < 0.01) compared to the rest of the sample. Females had lower CAD risk than males (OR = 0.35, 95% CI: 0.24–0.50). AF Patients with dyslipidemia (OR = 2.5, 95% CI: 1.8–3.4), smoking (OR = 1.7, 95% CI: 1.1–2.6), higher CHA2DS2-VASc score (OR = 1.5, 95% CI: 1.4–1.7), and asymptomatic AF (OR = 1.9, 95% CI: 1.3–2.6) had higher risk for CAD. Conclusions: Owing to the increased prevalence of CAD in patients with AF, better control of cardiac risk factors is recommended for this special group. Future studies should investigate such interesting relationships to stratify CAD risk in AF patients. We believe that this study adds valuable information regarding the prevalence, epidemiological characteristics, and pharmacotherapy of CAD in patients with AF.

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