Abstract WP232: Biomarkers of Atrial Cardiopathy and Atrial Fibrillation Detection on Mobile Continuous Outpatient Telemetry After Cryptogenic Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Denise Sebasigari ◽  
Alexander Merkler ◽  
Guo Yang ◽  
Benjamin Kummer ◽  
Gino Gialdini ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrial ◽  
Cryptogenic Stroke ◽  
Heart Rhythm ◽  
Population Based ◽  
Embolic Stroke ◽  
P Wave ◽  
Left Atrial Diameter ◽  
New Diagnosis ◽  
Rhythm Monitoring

Background: In population-based studies, biomarkers of atrial dysfunction or “cardiopathy” have been shown to be associated with embolic stroke risk. However, it is unclear if this risk is mediated by undiagnosed paroxysmal atrial fibrillation or flutter (AF). We aim to determine whether atrial cardiopathy biomarkers predict atrial fibrillation on continuous heart-rhythm monitoring after embolic stroke of undetermined source (ESUS). Methods: This was a single-center retrospective study including all patients who met consensus criteria for ESUS and who underwent 30 days of ambulatory heart-rhythm monitoring looking for AF between Jan 1 st , 2013 and Dec 31 st , 2015. We reviewed medical records for clinical, radiographic, and cardiac variables. The primary outcome was new diagnosis of AF detected during heart-rhythm monitoring. The primary predictors were atrial biomarkers: left atrial diameter on echocardiography, P-wave terminal force in ECG lead V1 , and PR interval on ECG. Multiple logistic regression was used to assess the relationship between atrial biomarkers and AF detection. Results: Among 196 eligible patients, 23 (11.7%) were diagnosed with AF. In unadjusted analyses, patients with AF were older (72.4 vs. 61.4 years, p < 0.001) and had larger left atrial diameter (39.2 vs. 35.7 mm, p = 0.03). In a multivariable model including variables significant on univariate analyses, the only predictor of AF was age ≥ 60 years (odds ratio, 3.0; 95% CI, 1.06-8.5; p = 0.04). Atrial biomarkers were not associated with AF detection. Conclusion: Atrial biomarkers were not associated with AF after ESUS. This suggests that previously reported associations between these markers and stroke may reflect independent cardiac pathways leading to stroke. Prospective studies are needed to investigate these mechanisms and study anticoagulation versus antiplatelet treatment for secondary stroke prevention in patients with ESUS and atrial cardiopathy.

Left atrial diameter thresholds and new incident atrial fibrillation in embolic stroke of undetermined source

2020 ◽  
Vol 75 ◽  
pp. 30-34 ◽  
Author(s):  
Kalliopi Perlepe ◽  
Gaia Sirimarco ◽  
Davide Strambo ◽  
Ashraf Eskandari ◽  
Efstathia Karagkiozi ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrial ◽  
Embolic Stroke ◽  
Left Atrial Diameter

Cryptogenic Stroke and Embolic Stroke of Undetermined Source: Risk Factors and Approaches for Detection of Atrial Fibrillation

2021 ◽  
Vol 18 ◽  
Author(s):  
Idaliya Rakhimova ◽  
Yuliya Semenova ◽  
Talgat Khaibullin ◽  
Anargul Kuanysheva ◽  
Vitalii Kovalchuk ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Heart Rate ◽  
Ischemic Stroke ◽  
Cryptogenic Stroke ◽  
Heart Rhythm ◽  
Antiplatelet Agents ◽  
Embolic Stroke ◽  
Optimal Method ◽  
Undetermined Etiology

Background: Stroke is a problem worldwide because of its high mortality and disability rates. Almost 90% of strokes are ischemic, and more than half of the deaths are caused by an ischemic stroke. Most risk factors for stroke are manageable so that it can be avoided with proper prevention. Despite the success in determining the causes of stroke in recent years, selectively, the "culprit" causing stroke remains unsolved. In such cases, a diagnosis of undetermined etiology (cryptogenic stroke) or embolic stroke of undetermined source (ESUS) is generated, resulting the prevention of a recurrent cerebrovascular occurrence impossible. Atrial fibrillation (AF) can be a cause of stroke by causing blood clots in the chambers of the heart. Purpose: The aim was to determine the optimal method of heart rate monitoring in patients with ischemic stroke, as methods and approaches for detecting AF are very diverse, but there is still no single opinion, which would be universal. Procedures: In our review, we consider epidemiology, risk factors for the stroke of undetermined etiology, as well as analytical methods for detecting heart rhythm disturbances in this category of patients. Findings: Atrial fibrillation (AF) is detected by thorough monitoring of heart rate of patients with cryptogenic stroke and ESUS can be diagnosed in up to 46% of patients. Conclusion. After AF detection, consideration should be given to prescribing anticoagulants, instead of antiplatelet agents, for the secondary prevention of stroke.

scholarly journals Racial Differences in Atrial Cardiopathy Phenotypes in Ischemic Stroke Patients

Neurology ◽  
2020 ◽  
pp. 10.1212/WNL.0000000000011197
Author(s):  
Hooman Kamel ◽  
Kathleen Alwell ◽  
Brett M. Kissela ◽  
Heidi J. Sucharew ◽  
Daniel Woo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Racial Differences ◽  
Left Atrial ◽  
Black People ◽  
Population Based ◽  
P Wave ◽  
Stroke Patients ◽  
Stroke Incidence ◽  
Left Atrial Diameter ◽  
Black Race

Objective:To test the hypothesis that thrombogenic atrial cardiopathy may be relevant to stroke-related racial disparities, we compared atrial cardiopathy phenotypes between Black versus White ischemic stroke patients.Methods:We assessed markers of atrial cardiopathy in the Greater Cincinnati/Northern Kentucky Stroke Study, a study of stroke incidence in a population of 1.3 million. We obtained ECGs and reports of echocardiograms performed during evaluation of stroke during the 2010/2015 study periods. Patients with atrial fibrillation (AF) or flutter (AFL) were excluded. Investigators blinded to patients’ characteristics measured P-wave terminal force in ECG lead V1 (PTFV1), a marker of left atrial fibrosis and impaired inter-atrial conduction, and abstracted left atrial diameter from echocardiogram reports. Linear regression was used to examine the association between race and atrial cardiopathy markers after adjustment for demographics, body mass index, and vascular comorbidities.Results:Among 3,426 ischemic stroke cases in Black or White patients without AF/AFL, 2,391 had a left atrial diameter measurement (mean, 3.65 ±0.70 cm). Black race was associated with smaller left atrial diameter in unadjusted (β coefficient, -0.11; 95% CI, -0.17 to -0.05) and adjusted (β, -0.15; 95% CI, -0.21 to -0.09) models. PTFV1 measurements were available in 3,209 patients (mean, 3,434 ±2,525 μV*ms). Black race was associated with greater PTFV1 in unadjusted (β, 1.59; 95% CI, 1.21 to 1.97) and adjusted (β, 1.45; 95% CI, 1.00 to 1.80) models.Conclusions:We found systematic Black-White racial differences in left atrial structure and pathophysiology in a population-based sample of ischemic stroke patients.Classification of Evidence:This study provides class II evidence that the rate of atrial cardiopathy is greater among Black people with acute stroke compared to White people.

Abstract WMP64: Utility of Left Atrial Abnormality on Admission Electrocardiography in Acute Ischemic Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Yukio Sugiyama ◽  
Nobuyuki Ohara ◽  
Kotaro Watanabe ◽  
Junya Kobayashi ◽  
Daisuke Takahashi
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Left Atrial ◽  
Strong Predictor ◽  
Multiple Logistic Regression Analysis ◽  
Cryptogenic Stroke ◽  
P Wave ◽  
Cardioembolic Stroke ◽  
Ecg Monitoring

Introduction and Hypothesis: Clinical categorization of ischemic stroke is very important to select the antithrombotic therapy for preventing the recurrent stokes. However, about 25% of ischemic stroke is the stroke for undetermined cause, termed as cryptogenic stroke. Recently, proactive detecting of paroxysmal atrial fibrillation (PAF) in cryptogenic stroke has gained attention. P-wave terminal force in lead V1 (PTFV1) of electrocardiography (ECG) is a specific indicator of left atrial abnormality. In this study, we tested PTFV1 for the utility of PAF detection and further clinical categorization in acute ischemic stroke. Methods: One hundred forty eight consecutive acute ischemic stroke patients were admitted to our hospital from September 2014 to March 2016. We included 105 patients (mean age 72.8±13.4 years), who had sinus rhythm on admission 12-lead ECG without atrial fibrillation, or cardiac pacing. PTFV1 (mmхsec) of participants was assessed, and had analyzed the association with PAF detection in a 24-hour ECG monitoring and clinical categories of ischemic stroke. Results: PTFV1 was significantly higher in the patients with PAF (n=11) than in those without PAF (0.049±0.024 vs 0.031±0.027; p<0.05). Multiple logistic regression analysis revealed that PTFV1 was an independent predictor for PAF detection (odds ratio, 1.46; 95% confidence interval, 1.02-2.08; p<0.05). According to the clinical categorization, PTFV1 of cardioembolic stroke (0.061±0.022) was significantly higher, compared to lacunar stroke (0.018±0.019; p<0.01), atherothrombotic stroke (0.035±0.026; p<0.05), and cryptogenic stroke (0.031±0.029; p<0.05). The proportion of patients with left atrial abnormality defined by PTFV1 (≧0.04), was 10 out of 11 (91%) for cardioembolic stroke, and 10 out of 27 (37%) for cryptogenic stroke. Conclusions: PTFV1 on admission ECG in acute ischemic stroke was a strong predictor for PAF detection and cardioembolic stroke diagnosis. Extended ECG monitoring may be useful in cryptogenic stroke with left atrial abnormality defined by PTFV1.

scholarly journals A comprehensive model to estimate underlying atrial fibrillation in cryptogenic stroke: the decrypting score

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
A Cecconi ◽  
A Vera ◽  
A Ximenez-Carrillo ◽  
C Ramos ◽  
P Martinez-Vives ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrial ◽  
Clinical Laboratory ◽  
Troponin T ◽  
Cryptogenic Stroke ◽  
Holter Monitoring ◽  
P Wave ◽  
Unknown Etiology ◽  
Clinical Tool ◽  
Left Atrial Strain

Abstract Introduction Cryptogenic stroke (CS) represents up to 30% of ischemic strokes. Since atrial fibrillation (AF) can be detected in up to one-third of CS, there is a clinical need for estimating the probability of underlying AF in CS to guide the optimal secondary prevention strategy. Surrogate markers of left atrial dysfunction such as left atrial size, left atrial strain (LAS) and NTproBNP has been described as predictors of AF in patients with CS. However the evidence about AF markers in comprehensive and prospective studies in CS is still limited. Purpose The present study was designed to develop the first score to predict underlying AF in CS patients that includes markers of atrial dysfunction. To reach our aim we developed a comprehensive analysis including clinical, laboratory, electrocardiografic and advanced echocardiographic variables in patients with CS. Methods Sixty-three consecutive patients with ischemic stroke or transient ischemic attack with ABCD2 scale ≥4 of unknown etiology were prospectively recruited. Clinical, laboratory, electrocardiografic and echocardiographic variables were collected. All patients underwent 15 days wearable Holter monitoring. Main objective was the Decryptoring score creation to predict AF in CS. Score variables were initially selected by a univariate logistic regression and, thereafter, the score points were derived according to a multivariant analysis. Results AF was detected in 15 patients (24%). Patients in the AF group were older (81.4±6.9 vs 76.5±7.8 years; p=0.035. There was no difference in sex between groups. Regarding cardiovascular risk factors patients who developed AF had more often hypertension (87% vs 52%; p=0.018) without differences in diabetes, dyslipidemia and tobacco consumption. T troponin and NTproBNP were higher in the AF group (47±55.9 vs 16.8±12.4 ng/L; p=0.018 and 1379±1650 vs 317±496 ng/ml; p=0.001 respectively). There were no differences in ECG parameters such as p wave voltage, interatrial block, PR interval or QRS. LAS reservoir, LAS conduct and LAS contraction were lower in patients with AF (18.6±4.6 vs 32.1±10.9%; 8±4.3 vs 15.6±8%; 10.5±3.4 vs 16.6±7 respectively, all p&lt;0.001). Age &gt;75 (9 points), hypertension (1 point), Troponin T &gt;40 ng/L (8.5 points), NTproBNP &gt;200 pg/ml (0.5 points), LAS reservoir &lt;25.3% (24.5 points) and LAS conduct &lt;10.4% (0.5 points) were included in the score. The rate of AF detection was 0% among patients with a score of &lt;10 and 80% among patients with a score &gt;35. Conclusion The proposed score offers an accurate AF prediction in patients with CS providing a new clinical tool to orient the optimal treatment in these patients. FUNDunding Acknowledgement Type of funding sources: Other. Main funding source(s): Spanish Society of Cardiology

scholarly journals Large extracellular vesicles in the left atrial appendage in patients with atrial fibrillation—the missing link?

2021 ◽  
Author(s):  
Andreas Zietzer ◽  
Baravan Al-Kassou ◽  
Paul Jamme ◽  
Verena Rolfes ◽  
Eva Steffen ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Extracellular Vesicles ◽  
Left Atrial ◽  
Left Atrial Appendage ◽  
Thrombus Formation ◽  
Flow Cytometric Analysis ◽  
Heart Rhythm ◽  
Atrial Appendage ◽  
Peripheral Embolization

AbstractAtrial fibrillation (AF) is the most frequent arrhythmic disease in humans, which leads to thrombus formation in the left atrial appendage and stroke through peripheral embolization. Depending on their origin, large extracellular vesicles (lEVs) can exert pro-coagulant functions. In the present study, we investigated how different types of AF influence the levels of large EV subtypes in three distinct atrial localizations. Blood samples were collected from the right and left atrium and the left atrial appendage of 58 patients. 49% of the patients had permanent AF, 34% had non-permanent AF, and 17% had no history of AF. Flow cytometric analysis of the origin of the lEVs showed that the proportion of platelet-derived lEVs in the left atrial appendage was significantly higher in permanent AF patients compared to non-permanent AF. When we grouped patients according to their current heart rhythm, we also detected significantly higher levels of platelet-derived lEVs in the left atrial appendage (LAA) in patients with atrial fibrillation. In vitro studies revealed, that platelet activation with lipopolysaccharide (LPS) leads to higher levels of miR-222-3p and miR-223-3p in platelet-derived lEVs. Treatment with lEVs from LPS- or thrombin-activated platelets reduces the migration of endothelial cells in vitro. These results suggest that permanent atrial fibrillation is associated with increased levels of platelet-derived lEVs in the LAA, which are potentially involved in LAA thrombus formation.

scholarly journals Exercise and the Risk of Dementia in Patients with Newly Diagnosed Atrial Fibrillation: A Nationwide Population-Based Study

2021 ◽  
Vol 10 (14) ◽  
pp. 3126
Author(s):  
Jaehyun Lim ◽  
So-Ryoung Lee ◽  
Eue-Keun Choi ◽  
Kyung-Do Han ◽  
Jin-Hyung Jung ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Reduction ◽  
Lower Risk ◽  
Population Based ◽  
Newly Diagnosed ◽  
Incident Dementia ◽  
Before And After ◽  
Korean National Health Insurance ◽  
New Diagnosis ◽  
New Onset

Background: It is unclear whether exercise would reduce dementia in patients with a new diagnosis of atrial fibrillation (AF). Therefore, we aimed to evaluate the association between the change in physical activity (PA) before and after new-onset AF and the risk of incident dementia. Methods: Using the Korean National Health Insurance Service database, we enrolled a total of 126,555 patients with newly diagnosed AF between 2010 and 2016, who underwent health examinations within two years before and after their diagnosis of AF. The patients were divided into four groups: persistent non-exercisers, exercise starters, exercise quitters, and exercise maintainers. Results: Based on a total of 396,503 person-years of follow-up, 5943 patients were diagnosed with dementia. Compared to persistent non-exercisers, exercise starters (adjusted hazard ratio (aHR) 0.87; 95% confidence interval (CI) 0.81–0.94), and exercise maintainers (aHR 0.66; 95% CI 0.61–0.72) showed a lower risk of incident dementia; however, the risk was similar in exercise quitters (aHR 0.98; 95% CI 0.92–1.05) (p-trend < 0.001). There was a J-shaped relationship between the dose of exercise and the risk of dementia, with the risk reduction maximized at 5–6 times per week of moderate-to-vigorous PA among exercise starters. Conclusion: Patients who initiated or continued regular exercise after diagnosis of AF were associated with a lower risk of dementia than persistent non-exercisers, with no risk reduction associated with exercise cessation. Our findings may provide evidence for the benefit of exercise prescription to patients with new-onset AF to prevent incident dementia regardless of their current exercise status.

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