Excessive supraventricular ectopic activity and risk of incident atrial fibrillation in a consecutive population referred to ambulatory cardiac monitoring.

Abstract Background There are only limited options for long-term cardiac monitoring devices readily available in clinical practice for outpatients. Holter monitoring devices are limited by the uncomfort of wires and patches, the small number of leads for analysis, the quality of recordings or the monitoring duration while insertable cardiac monitors are costly and exposed to potential local complication. Purpose To describe a single center experience with a novel wearable device for cardiac rhythm monitoring. Methods The Cardioskin™ system is a patch-free, wire-free, wearable device with rechargeable batteries that provides a high quality 15-lead electrocardiogram monitoring over 1 month (Figure 1). Data are sent using a mobile application downloaded in the patient smartphone to a central Corelab where they can be interpreted by an expert and/or the prescribing physician. An alarm signal is readily available within the Cardioskin™ device, to allow patients to indicate the presence of symptoms. In this single center retrospective registry, we provide a first report of the use of this novel device in real world practice, with indication and duration of cardiac monitoring left at the physicans “discretion”. Results From January 2019 to December 2019, the Cardioskin™ system was prescribed in 60 patients for an overall median duration of 26.5 (14–32) days. The mean age of the patients was 45±12.2 years and 24 (40%) were male. Indications for cardiac monitoring were post-Stroke, palpitation, syncope and cardiomyopathy assessment in 56%, 30%, 7% and 7% of the cases, respectively. A sustained (>30 seconds) supraventricular tachycardia was detected in 4 cases, including one case of atrial fibrillation, two case of atrial tachycardia and on case of junctional tachycardia. Unsustained ventricular tachycardia and atrial fibrillation burst were detected in another 2 cases (Figure 1). There was no reported case of skin irritation by the Cardioskin™ system or abrupt interruption of the monitoring by the patients. Conclusion The Cardioskin™ system is a novel, discreet and comfortable cardiac rhythm wearable long-term monitoring device which can be used in clinical practice for broad diagnostic indications. Figure 1. Cardioskin system Funding Acknowledgement Type of funding source: Public Institution(s). Main funding source(s): ACTION coeur

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Atrial Ectopic Activity in Long-Standing Persistent Atrial Fibrillation: An Unanticipated Potentially Important Role?

Canadian Journal of Cardiology ◽

10.1016/j.cjca.2014.10.019 ◽

2014 ◽

Vol 30 (12) ◽

pp. 1496-1497

Author(s):

Stanley Nattel

Keyword(s):

Atrial Fibrillation ◽

Persistent Atrial Fibrillation ◽

Ectopic Activity

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B-PO01-028 UTILIZATION OF CARDIAC MONITORING FOR ATRIAL FIBRILLATION IN CRYPTOGENIC STROKE PATIENTS

Heart Rhythm ◽

10.1016/j.hrthm.2021.06.174 ◽

2021 ◽

Vol 18 (8) ◽

pp. S62

Author(s):

Matthew R. Reynolds ◽

Candace L. Gunnarsson ◽

Michael P. Ryan ◽

Sarah Rosemas ◽

Paul D. Ziegler ◽

...

Keyword(s):

Atrial Fibrillation ◽

Cryptogenic Stroke ◽

Cardiac Monitoring ◽

Stroke Patients

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On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection

ACM Transactions on Embedded Computing Systems ◽

10.1145/3476987 ◽

2021 ◽

Vol 20 (5s) ◽

pp. 1-25

Author(s):

Zhenge Jia ◽

Yiyu Shi ◽

Samir Saba ◽

Jingtong Hu

Keyword(s):

Atrial Fibrillation ◽

Prior Knowledge ◽

Domain Knowledge ◽

Fine Tuning ◽

Cardiac Monitoring ◽

Patient Specific ◽

Detection Accuracy ◽

Specific Patient ◽

Deep Model ◽

Tuning Strategy

Atrial Fibrillation (AF), one of the most prevalent arrhythmias, is an irregular heart-rate rhythm causing serious health problems such as stroke and heart failure. Deep learning based methods have been exploited to provide an end-to-end AF detection by automatically extracting features from Electrocardiogram (ECG) signal and achieve state-of-the-art results. However, the pre-trained models cannot adapt to each patient’s rhythm due to the high variability of rhythm characteristics among different patients. Furthermore, the deep models are prone to overfitting when fine-tuned on the limited ECG of the specific patient for personalization. In this work, we propose a prior knowledge incorporated learning method to effectively personalize the model for patient-specific AF detection and alleviate the overfitting problems. To be more specific, a prior-incorporated portion importance mechanism is proposed to enforce the network to learn to focus on the targeted portion of the ECG, following the cardiologists’ domain knowledge in recognizing AF. A prior-incorporated regularization mechanism is further devised to alleviate model overfitting during personalization by regularizing the fine-tuning process with feature priors on typical AF rhythms of the general population. The proposed personalization method embeds the well-defined prior knowledge in diagnosing AF rhythm into the personalization procedure, which improves the personalized deep model and eliminates the workload of manually adjusting parameters in conventional AF detection method. The prior knowledge incorporated personalization is feasibly and semi-automatically conducted on the edge, device of the cardiac monitoring system. We report an average AF detection accuracy of 95.3% of three deep models over patients, surpassing the pre-trained model by a large margin of 11.5% and the fine-tuning strategy by 8.6%.

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Abstract P624: High Detection of Atrial Fibrillation by 90 Days Textil Holter Monitoring in Patients With Cryptogenic Stroke

Stroke ◽

10.1161/str.52.suppl_1.p624 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Jorge Pagola ◽

Jesus Juega ◽

Jaume Francisco ◽

Maite Rodriguez ◽

Juan Antonio Cabezas ◽

...

Keyword(s):

Atrial Fibrillation ◽

Cumulative Incidence ◽

Left Atrial ◽

Cryptogenic Stroke ◽

Left Atrial Volume ◽

Holter Monitoring ◽

Cardiac Monitoring ◽

Atrial Volume ◽

Monitoring Time ◽

Number Of Patients

Introduction: External recorders allow for low-cost, non-invasive 1 to 4 weeks monitoring. However, the first 3 months of monitoring duration are the most effective to detect atrial fibrillation (AF). We show the results of the Thunder registry of patients monitored to detect AF during 90 days from the stroke. Methods: A prospective observational study was conducted with consecutive inclusion of patients with cryptogenic stroke after work up (neuroimaging, echocardiography and 24-hour cardiac monitoring) in 5 Comprenhensive Stroke Centers. Patients were continuously monitored for 90 days with a wearable Holter (Nuubo®) after the first 24 hours of the stroke onset. We analyzed the percentage of AF detection in each period (percentage of AF among those monitored), the quality of the monitoring (monitoring time), the percentage of AF by intention to monitor (detection of AF among patient included). Demographic, clinical and echocardiographic predictors of AF detection beyond one week of cardiac monitoring were assessed. Results: A total of 254 patients were included. The cumulative incidence of AF detection at 90 days was 34.84%. The monitoring time was similar among the 3 months (30 days: 544.9 hours Vs 60 days: 505.9 hours Vs 90 days: 591.25 hours) (p=0.512). The number of patients who abandoned monitoring was 7% (18/254). The cumulative percentage of intention to detect AF was 30.88% (Figure). Patients who completed monitoring beyond 30 days had higher score on the NIHSS basal scale (NIHSS 9 IQR 2-17) VS (NIHSS 3 IQR 1-9) (p=0.024). Patients with left atrial volume greater than 28.5ml/m2 had higher risk of cumulative incidence of AF according to the Kaplan Meyer curve beyond the first week of monitoring OR 2.72 (Log-rank (Mantel-Cox test) (p<0.001). Conclusions: In conclusion, intensive 90-day- Holter monitoring with textile Holter was feasible and detected high percentage of AF. Enlarged left atrial volume predicted AF beyond the first week of monitoring.

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Abstract P630: Detection of Atrial Fibrillation by Prolonged Cardiac Monitoring in Cryptogenic and Known Stroke Etiology

Stroke ◽

10.1161/str.52.suppl_1.p630 ◽

2021 ◽

Vol 52 (Suppl_1) ◽

Author(s):

Michal krawczyk ◽

Sebastián Fridman ◽

Maria Bres Bullrich ◽

Palak Shah ◽

Juan C Vargas-Gonzalez ◽

...

Keyword(s):

Atrial Fibrillation ◽

Logistic Regression ◽

Cryptogenic Stroke ◽

Left Atrial Volume ◽

Cardiac Monitoring ◽

Volume Index ◽

Multivariate Logistic Regression Model ◽

Stroke Patients ◽

Cross Sectional ◽

Therapeutic Decisions

Introduction: Approximately 25% of strokes are classified as cryptogenic (CS), while greater than 50% have an identifiable or ‘known’ etiology (KS). Several studies have demonstrated that prolonged cardiac monitoring (PCM) after cryptogenic stroke substantially increases the detection of atrial fibrillation (AF), but the yield of PCM in KS stroke is unknown. As a result, the majority of guidelines recommend restricting PCM to patients with cryptogenic stroke. If the detection of AF in KS is no different to cryptogenic stroke, it would suggest that this group too would similarly benefit from PCM, with the potential to impact therapeutic decisions (e.g. initiating anticoagulation). Methods: In a cross-sectional study, we compared AF detection by PCM (minimum of 48 hrs) between CS and KS patients without a previous diagnosis of AF. We developed a multivariate logistic regression model by including known and significant clinical, echocardiographic, and radiological factors known to be associated with the detection of AF. We reported results as odds ratios (OR) and 95% confidence intervals (95% CI). Results: We included 561 ischemic stroke patients, 376 with CS and 185 with KS. The median duration of PCM was 167h for CS and 48h for KS. AF was detected in 30 of 376 (8%) CS patients, and 20 of 185 (7.9%) KS patients. Age, history of thyroid disease, clinical presentation of dysarthria, wake-up stroke, and left atrial volume index on echocardiography were significantly associated with a new diagnosis of AF after stroke in the univariable analysis and were thus included in the logistic regression analysis. Additionally, duration of PCM was included in the multivariate model. After adjustment for potential confounders, AF detection by PCM was not significantly higher for CS than KS (OR 0.95, 95% CI 0.25-3.32, P=0.94). Conclusion: To the best of our knowledge this is the first study directly comparing the incidence of AF between CS and KS as the pre-specified primary outcome. Our findings suggest that CS and KS patients have similar rates of AF detection by PCM. Future prospective research is required to confirm these findings and to determine the cost-effectiveness of PCM in non-cryptogenic stroke patients.

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Predictors of Occult Paroxysmal Atrial Fibrillation in Cryptogenic Strokes Detected by Long-Term Noninvasive Cardiac Monitoring

Stroke Research and Treatment ◽

10.4061/2011/172074 ◽

2011 ◽

Vol 2011 ◽

pp. 1-5 ◽

Cited By ~ 14

Author(s):

Archit Bhatt ◽

Arshad Majid ◽

Anmar Razak ◽

Mounzer Kassab ◽

Syed Hussain ◽

...

Keyword(s):

Atrial Fibrillation ◽

Paroxysmal Atrial Fibrillation ◽

Cryptogenic Stroke ◽

Cardiac Monitoring ◽

High Signal ◽

Detection Rates ◽

Non Invasive ◽

Patient Reported ◽

Premature Beats

Background and Purpose. Paroxysmal Atrial fibrillation/Flutter (PAF) detection rates in cryptogenic strokes have been variable. We sought to determine the percentage of patients with cryptogenic stroke who had PAF on prolonged non-invasive cardiac monitoring.Methods and Results. Sixty-two consecutive patients with stroke and TIA in a single center with a mean age of 61 (+/− 14) years were analyzed. PAF was detected in 15 (24%) patients. Only one patient reported symptoms of shortness of breath during the episode of PAF while on monitoring, and 71 (97%) of these 73 episodes were asymptomatic. A regression analysis revealed that the presence of PVCs (ventricular premature beats) lasting more than 2 minutes (OR 6.3, 95% CI, 1.11–18.92;P=.042) and strokes (high signal on Diffusion Weighted Imaging) (OR 4.3, 95% CI, 5–36.3;P=.041) predicted PAF. Patients with multiple DWI signals were more likely than solitary signals to have PAF (OR 11.1, 95% CI, 2.5–48.5,P<.01).Conclusion. Occult PAF is common in cryptogenic strokes, and is often asymptomatic. Our data suggests that up to one in five patients with suspected cryptogenic strokes and TIAs have PAF, especially if they have PVCs and multiple high DWI signals on MRI.

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Stroke in a Young Man Secondary to Paroxysmal Atrial Fibrillation and Thyrotoxicosis: A Case Report

Case Reports in Neurology ◽

10.1159/000479730 ◽

2017 ◽

Vol 9 (3) ◽

pp. 228-233

Author(s):

Rodrigo Bazan ◽

Thiago Dias Fernandes ◽

Gláucia Maria Ferreira da Silva Mazeto ◽

Mariângela Esther Alencar Marques ◽

Gabriel Pereira Braga ◽

...

Keyword(s):

Atrial Fibrillation ◽

Causal Link ◽

Graves Disease ◽

Pathological Findings ◽

Thyroid Scintigraphy ◽

Normal Heart ◽

Ectopic Activity ◽

Resonance Imaging ◽

Significant Clinical Improvement

We report a case of a male patient with stroke caused by atrial fibrillation (AF) due to thyrotoxicosis. At hospital admission, he presented hypertension and AF. Magnetic resonance imaging confirmed a right-side ischemic area. The thyrotoxicosis was confirmed by thyroid function and thyroid scintigraphy that showed goiter with diffuse hypercaptation. The patient was treated with tapazole and total thyroidectomy, and pathological findings suggested Graves’ disease. Hyperthyroidism is associated with increased supraventricular ectopic activity in patients with a normal heart, and may be an important causal link between hyperthyroidism and AF. The patient experienced significant clinical improvement, but presented long-term neuropsychiatric disorders.

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Predictors of Development of Atrial Fibrillation in Patients With Embolic Stroke Of Undetermined Source: An Analysis of the RE-SPECT ESUS Trial

Circulation ◽

10.1161/circulationaha.121.055176 ◽

2021 ◽

Author(s):

Maria Cecilia Bahit ◽

Ralph L. Sacco ◽

J. Donald Easton ◽

Juliane Meyerhoff ◽

Lisa Cronin ◽

...

Keyword(s):

Atrial Fibrillation ◽

Body Mass Index ◽

Body Mass ◽

Recurrent Stroke ◽

Controlled Trial ◽

Clinical Care ◽

Important Variable ◽

Older Age ◽

Embolic Stroke ◽

Cardiac Monitoring

Background: A proportion of patients with embolic stroke of undetermined source (ESUS) have silent atrial fibrillation (AF) or develop AF after the initial evaluation. Better understanding of risk for development of AF is critical to implement optimal monitoring strategies with the goal of preventing recurrent stroke due to underlying AF. The RE-SPECT ESUS trial provides an opportunity to assess predictors for developing AF and associated recurrent stroke. Methods: RE-SPECT ESUS was a randomized, controlled trial (564 sites, 42 countries) assessing dabigatran versus aspirin for the prevention of recurrent stroke in patients with ESUS. Of 5390 patients enrolled and followed for a median of 19 months, 403 (7.5%) were found to develop AF reported as an adverse event or using cardiac monitoring per standard clinical care. Univariable and multivariable regression analyses were performed to define predictors of AF. Results: In the multivariable model, older age (odds ratio [OR] for 10-year increase 1.99 [1.78-2.23]; P<0.001), hypertension (1.36 [1.03-1.79]; P=0.0304), diabetes (OR 0.74 [0.56-0.96]; P=0.022), and body mass index (OR for 5-unit increase 1.29 [1.16-1.43]; P<0.001) were independent predictors of AF during the study. In a sensitivity analysis restricted to 1117 patients with baseline N-terminal prohormone of brain natriuretic peptide (NT-proBNP) measurements, only older age and higher NT-proBNP were significant independent predictors of AF. Performances of several published predictive models were assessed, including the HAVOC and CHA2DS2-VASc scores, and higher scores were associated with higher rates of developing AF. Conclusions: Besides age as the most important variable, several other factors, including hypertension, higher body mass index, and lack of diabetes, are independent predictors of AF after ESUS. When baseline NT-proBNP was available, only older age and elevation of this biomarker were predictive of subsequent AF. Understanding who is at higher risk of developing AF will assist in identifying patients who may benefit from more intense, long-term cardiac monitoring.

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