ACC/AHA/ESC Guidelines for the Management of Patients With Supraventricular Arrhythmias—Executive Summary

Blomström‐Lundqvist, Carina; Scheinman, Melvin M.; Aliot, Étienne; Alpert, Joseph S.; Calkins, Hugh; Camm, A. John; Wb, Campbell; Haines, David E.; Kuck, Karl Heinz; Lerman, Bruce B.; Miller, D. Douglas; Shaeffer, Charlie W.; Stevenson, William G.; Tomaselli, Gordon F.; Antman, Elliott M.; Smith, Sidney C.; Faxon, David P.; Fuster, Valentín; Gibbons, Raymond J.; Gregoratos, Gabriel; Hiratzka, Loren F.; Hunt, Sharon A.; Jacobs, Alice K.; Russell, Richard O.; Priori, Silvia G.; Blanc, Jean Jacques; Budaj, A; Burgos, Enrique Fernández; Cowie, Martin R.; Deckers, Jaap W.; García, María Ángeles Alonso; Klein, W.; Lekakis, John; Lindahl, Bertil; Mazzotta, Gianfranco; Morais, João; Oto, Ali̇; Smiseth, Otto A.; Trappe, H.-J.

doi:10.1161/01.cir.0000091380.04100.84

Cited by 658 publications

(219 citation statements)

References 246 publications

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“…About 18% of paroxysmal AF degenerates into persistent AF in less than 4 years [30] and there are quite serious risks associated to the latter, such as thrombus formation predisposition within the atria, which can cause stroke or any other thromboembolic events [31]. As appropriate interventions may terminate the arrhythmia and prevent chronification of AF, early prediction of paroxysmal AF maintenance is of vital importance.…”

Section: Discussionmentioning

confidence: 99%

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Abásolo¹,

Alcaraz²,

Rieta³

et al. 2011

Biomedical Engineering

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The Lempel-Ziv (LZ) complexity is a non-linear time series analysis metric that reflects the arising rate of new patterns along with the sequence. Thus, it captures its temporal sequence and, quite conveniently, it can be computed with short data segments. In the present work, a detailed analysis on LZ complexity is presented within the context of atrial fibrillation (AF) organization estimation. As the analysed time series depend on the original sampling rate (fs), we evaluated the relationship between LZ complexity and fs. Furthermore, different implementations of LZ complexity were tested. Our results show the usefulness of LZ complexity to estimate AF organization and suggest that the signals from a terminating paroxysmal AF group are more organized (i.e. less complex) than those from the non-terminating paroxysmal AF group. However, the diagnostic accuracy was not as high as that obtained with sample entropy (SampEn), another non-linear metric, with the same database in a previous study (92% vs. 96%). Nevertheless, the LZ complexity analysis of AF organization with sampling frequencies higher than 2048 Hz, or even its combination with SampEn or other non-linear metrics, might improve the prediction of spontaneous AF termination.

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Section: Discussionmentioning

confidence: 99%

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Abásolo¹,

Alcaraz²,

Rieta³

et al. 2011

Biomedical Engineering

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“…During supraventricular tachycardia episodes, ECG changes and clinical symptoms suggestive of cardiac ischaemia may be present. Screening for CAD should be restricted to patients with typical symptoms outside arrhythmia episodes, who have a high-risk profile or increasing frequency of arrhythmia episodes [191].…”

Section: Supraventricular Arrhythmias Other Than Atrial Fibrillation mentioning

confidence: 99%

Guidelines on myocardial revascularization

Wijns¹,

Kolh²,

Danchin³

et al. 2011

Revista Portuguesa de Cardiologia (English Edition)

238

317

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“…Sinus rhythm was confirmed from the P wave axis of 0-90 degrees in the frontal plane and 0-90 degrees in the horizontal plane. 10) In each ECG trace, durations and amplitudes of the P waves were evaluated in all 12 leads. The onset and offset points of the P waves were determined as the intersection point of the upward or downward deflection of a P wave and the isoelectric line.…”

Section: Methodsmentioning

confidence: 99%

Discrimination of Paroxysmal and Persistent Atrial Fibrillation in Patients With New-Onset Atrial Fibrillation

et al. 2016

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SummaryDiscrimination between paroxysmal and persistent atrial fibrillation (PAF and persistent AF) is important for determining the therapeutic strategy in patients with new-onset AF. We evaluated various clinical factors and P wave morphology to discriminate PAF and persistent AF patients in patients with new-onset AF.The study population consisted of 79 patients with new-onset AF (70.3 ± 10.8 years, female:male 33:46) who were retrospectively selected from 8,632 AF patients in the Kitasato University Hospital ECG storing system. PAF (n = 38) and persistent AF (n = 41) patients were diagnosed by whether the initial PAF episode continued for 1 week. The P wave morphologies were analyzed using the most recent 12 lead-ECG recording of sinus rhythm. P wave dispersion was defined as the difference between the maximum and minimum durations of all leads. Along with these data, various clinical factors were evaluated and compared between PAF and persistent AF patients.Multivariate analysis identified P wave dispersion (56.6 ± 14.8 versus 66.5 ± 12.8 msec, P = 0.002) and left atrial dimension (LAD: 40.2 ± 7.0 versus 47.7 ± 8.2 mm, P < 0.001) as independent factors for discrimination between PAF and persistent AF patients. Combining these two parameters achieved a specificity of 88.9%, a positive predictive value of 81.8%, a sensitivity of 95.3%, and a negative predictive value of 88.9%.In patients with new-onset AF, P wave dispersion and LAD were independent factors for discrimination between PAF and persistent AF. (Int Heart J 2016; 57: 573-579) Key words: P wave I n clinical practice, identification of the clinical stage of atrial fibrillation (AF) is an important issue to enable clinicians to determine a therapeutic strategy, especially in patients with new-onset AF, in whom it is important to determine the indication of antiarrhythmic agents or catheter ablation.1-3) When considering catheter ablation for AF, it is important to identify the early stage of AF, ie, paroxysmal atrial fibrillation (PAF), because the efficacy of catheter ablation is higher in PAF patients, and the ablation procedure itself can be simplified. 4,5) Recently, we have reported that P wave analysis in the 12-lead ECG of sinus rhythm is useful in determining the emergence of AF in clinical cases. 6) We have shown that the P wave amplitude in lead II or V1 was higher, and P wave dispersion, ie, the dispersion of P wave duration, was larger in patients with new-onset AF compared with control patients without AF.6) Therefore, we hypothesized that the clinical stage of AF may also be identified by P wave analysis, as well as with the other clinical parameters. In the present study, we retrospectively identified patients with new-onset AF in the digital ECG profiling system of our hospital. Patients were classified into PAF and persistent AF by their clinical course in accordance with the definitions in the AHA/ACC/ESC guidelines and JCS guidelines.7,8) P waves in the preceding sinus rhythm state were analyzed as the precursor state for new-onset ...

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ACC/AHA/ESC Guidelines for the Management of Patients With Supraventricular Arrhythmias—Executive Summary

Cited by 658 publications

References 246 publications

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Guidelines on myocardial revascularization

Discrimination of Paroxysmal and Persistent Atrial Fibrillation in Patients With New-Onset Atrial Fibrillation

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