Bipolar Intracardiac Electrogram Active Interval Extraction During Atrial Fibrillation

2017 ◽  
Vol 64 (9) ◽  
pp. 2122-2133 ◽  
Author(s):  
Mohammad Hassan Shariat ◽  
Saeed Gazor ◽  
Damian P. Redfearn
Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001431
Author(s):  
Daniel R Frisch ◽  
Eitan Frankel ◽  
Deanna Gill ◽  
Jad Al Danaf

ObjectiveCavo-tricuspid isthmus atrial flutter (CTI-AFL) is an important arrhythmia to recognise because there is a highly effective and relatively low-risk ablation strategy. However, clinical experience has demonstrated that providers often have difficulty distinguishing AFL from atrial fibrillation.MethodsWe developed a novel ECG-based three-step algorithm to identify CTI-AFL based on established CTI flutter characteristics and verified on consecutive ablation cases of typical flutter, atypical flutter and atrial fibrillation. The algorithm assesses V1/inferior lead F-wave concordance, consistency of P-wave morphology and the presence of isoelectric intervals in the inferior leads. In this observation study, the algorithm was validated on a cohort of 50 second-year medical students. Students were paired in a control and experimental group, and each pair received 10 randomly selected ECGs (from a pool of 50 intracardiac electrogram-proven CTI-AFL and 50 AF or atypical AFL cases). The experimental group received a cover sheet with the CTI algorithm, and the control group received no additional guidance.ResultsThere was a statistically significant difference in the mean number of correctly identified ECGs among the students in the experimental and control groups (8.12 vs 5.68, p<0.001). Students who used the algorithm correctly identified 2.44 more ECGs as being CTI-AFL or not CTI-AFL. Using the electrophysiology study as the gold standard, the algorithm had an accuracy of 81%, sensitivity of 81%, specificity of 82%, positive predictive value of 78% and negative predictive value of 84% in identifying CTI-AFL.ConclusionWe developed a three-step ECG algorithm that provides a simple, sensitive, specific and accurate tool to identify CTI-AFL.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Ryuta Henmi ◽  
Koichiro Ejima ◽  
Daigo Yagishita ◽  
Yuji Iwanami ◽  
Moria Shoda ◽  
...  

Introduction: Previous studies showed inter-atrial conduction delay (IACT) is an important electrophysiological factor predicting atrial fibrillation (AF) after successful atrial flutter (AFL) ablation. To the best of our knowledge, there has no previous study regarding the prognostic value of IACT as a predictor of new-onset AF after AFL ablation without AF history. Hypothesis: The purpose of this study was to determine the incidence and predictors of new-onset AF after Radiofrequency ablation (RFA) of isolated AFL in a retrospective cohort study. Methods: This study included consecutive patients who underwent successful RFA of isolated, typical AFL from 2004 to 2012. Patients with any history of AF prior to AFL ablation were excluded. IACT was defined as the interval from the onset of P-wave in 12-lead electrocardiogram to atrial intracardiac electrogram at the distal coronary sinus catheter. Results: Eighty patients were included in this study. During a mean follow-up 3.4±2.6 years after successful AFL ablation, 22 patients (27.5%) developed new-onset AF. A Cox regression multivariate analysis demonstrated that IACT was the independent predictor of new-onset AF after AFL ablation (odds ratio: 13.3; 95% confidence interval: 1.36-152.5; p=0.0255). IACT was accurate in predicting new-onset AF (AUC=0.70). The optimal cut-off point of IACT for predicting new-onset AF was ≧120ms, with a sensitivity of 0.476 and a specificity of 0.898. Kaplan-Meier curves showed that new-onset AF after AFL ablation was significantly higher in the patients with IACT ≧120ms compared to the patients with IACT< 120ms (p=0.0016). Conclusions: IACT is an independent risk factor for new-onset AF after AFL ablation without a history of AF.


Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Barbara Dominik ◽  
Wojciech Zorawski ◽  
Ilona Kowalik ◽  
Adam Ciesielski ◽  
Przemyslaw Mitkowski

Introduction: Implantable cardioverter defibrillators due to the possibility of continuous recording of intracardiac electrograms can detect episodes of atrial fibrillation. In practice, this allows better identification of patients with asymptomatic AF episodes, thus increasing the proportion of patients who may benefit from pharmacological prophylaxis of thromboembolic events, particularly stroke. Hypothesis: If intracardiac electrogram analysis should be part of each visit carried out in patients with implantable cardioverter defibrillator, how much of detected episodes of atrial fibrillation is asymptomatic. Methods: The study included 174 consecutive outpatient cases with heart failure, sinus rhythm and implanted Cardioverter Defibrillator and Cardiac Resynchronisation Therapy with Defibrillator. Control visits with analysis intracardiac electrograms records occurred every three months. Each AF episode stored in the device’s memory lasting at least 30 seconds was considered an episode of atrial fibrillation. A symptomatic episode was considered when arrhythmia led to ICD shock, heart deterioration, collapse or fainting, palpitations, weakness, chest pain or shortness of breath accompanied by a feeling of irregular heartbeat. During mean follow-up of 20 months, 901 visits were carried out. 147 patients had at least one year of follow-up. Results: Atrial fibrillation (AF) episodes in the study occurred in 54 (31.0%) patients. Of the 241 atrial fibrillation episodes recorded in the device’s memory, 71.4% were asymptomatic. There was no statistically significant difference in the incidence of new episodes of atrial fibrillation (P = 0.384) in the study group with a history of stroke or transient ischemic episodes during follow-up. However, asymptomatic AF episodes were more common in stroke patients (P = 0.0074). In the time of observation in the whole group of patients there were no new strokes and transient ischemic attack. Conclusion: In conclusion, detection of asymptomatic atrial fibrillation episodes based on intracardiac electrocardiogram records is effective method. In the study group, such episodes were up 71.4% of all newly detected AF episodes.


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