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Sakellaropoulou A, Giannopoulos G, Tachmatzidis D, Letsas KP, Antoniadis A, Asvestas D, Filos D, Mililis P, Efremidis M, Chouvarda I, Vassilikos VP. Association of beat-to-beat P-wave analysis index to the extent of left atrial low-voltage areas in patients with paroxysmal atrial fibrillation. Hellenic J Cardiol 2024:S1109-9666(24)00115-5. [PMID: 38777086 DOI: 10.1016/j.hjc.2024.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 04/16/2024] [Accepted: 05/11/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND Left atrial (LA) fibrosis has been shown to be associated with atrial fibrillation (AF) recurrence. Beat-to-beat (B2B) index is a non-invasive classifier, based on B2B P-wave morphological and wavelet analysis, shown to be associated with AF incidence and recurrence. In this study, we tested the hypothesis that the B2B index is associated with the extent of LA low-voltage areas (LVAs) on electroanatomical mapping. METHODS Patients with paroxysmal AF scheduled for pulmonary vein isolation, without evident structural remodeling, were included. Pre-ablation electroanatomical voltage maps were used to calculate the surface of LVAs (<0.5 mV). B2B index was compared between patients with small versus large LVAs. RESULTS 35 patients were included (87% male, median age 62). The median surface area of LVAs was 7.7 (4.4-15.8) cm2 corresponding to 5.6 (3.3-12.1) % of LA endocardial surface. B2B index was 0.57 (0.52-0.59) in patients with small LVAs (below the median) compared to 0.65 (0.56-0.77) in those with large LVAs (above the median) (p = 0.009). In the receiver operator characteristic curve analysis for predicting large LVAs, the c-statistic was 0.75 (p = 0.006) for B2B index and 0.81 for the multivariable model including B2B index (multivariable p = 0.04) and P-wave duration. CONCLUSION In patients with paroxysmal AF without overt atrial myopathy, B2B P-wave analysis appears to be a useful non-invasive correlate of low-voltage areas-and thus fibrosis-in the LA. This finding establishes a pathophysiological basis for B2B index and its potential usefulness in the selection process of patients who are likely to benefit most from further invasive treatment.
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Affiliation(s)
- Antigoni Sakellaropoulou
- 2nd Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece.
| | - Georgios Giannopoulos
- 3rd Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Tachmatzidis
- 3rd Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Konstantinos P Letsas
- 2nd Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece
| | - Antonios Antoniadis
- 3rd Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Asvestas
- 2nd Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece
| | - Dimitrios Filos
- Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis Mililis
- 2nd Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece
| | - Michael Efremidis
- 2nd Department of Cardiology, Laboratory of Cardiac Electrophysiology, Evangelismos General Hospital of Athens, Athens, Greece
| | - Ioanna Chouvarda
- Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vassilios P Vassilikos
- 3rd Department of Cardiology, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Boulmpou A, Teperikidis E, Papadopoulos CΕ, Patoulias DI, Charalampidis P, Mouselimis D, Tsarouchas A, Boutou A, Giannakoulas G, Vassilikos V. The role of cardiopulmonary exercise testing in risk stratification and prognosis of atrial fibrillation: a scoping review of the literature. Acta Cardiol 2022; 78:274-287. [PMID: 36448316 DOI: 10.1080/00015385.2022.2148894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
BACKGROUND Cardiopulmonary exercise testing (CPET) is a significant tool for evaluating exercise capacity in healthy individuals and in various pulmonary and cardiovascular conditions, quantifying symptoms and predicting outcomes. Atrial fibrillation (AF) poses a significant burden on patients and health systems; a research marathon is ongoing for discovering the pathophysiologic substrate, natural history, prognostic tools and optimal treatment strategies for AF. Among the plethora of variables measured during CPET, there is a series of parameters of interest concerning AF. METHODS We conducted a scoping review aiming to identify significant CPET-related parameters linked to AF, as well as indicate the impact of other cardiac disease-related variables. We searched PubMed from its inception to 12 January 2022 for reports underlining the contribution of CPET in the assessment of patients with AF. Only clinical trials, observational studies and systematic reviews were included, while narrative reviews, expert opinions and other forms of manuscripts were excluded. RESULTS In our scoping review, we report a group of heterogeneous, thus noteworthy parameters relevant to the potential contribution of CPET in AF. CPET helps phenotype AF populations, evaluates exercise capacity after cardioversion or catheter ablation, and assesses heart rate response to exercise; peak VO2 and VE/VCO2, commonly measured indices during CPET, also serve as prognostic tools in patients with AF and heart failure. CONCLUSIONS CPET seems to hold a clinically important predictive value for future cardiovascular events both in patients with pre-existing cardiac conditions and in healthy individuals. CPET variables may play a fundamental role in the prediction of future AF-related events.
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Affiliation(s)
- Aristi Boulmpou
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eleftherios Teperikidis
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Christodoulos Ε. Papadopoulos
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Dimitrios Ioannis Patoulias
- Second Propaedeutic Department of Internal Medicine, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Panagiotis Charalampidis
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
- St Luke’s Hospital, Thessaloniki, Greece
| | - Dimitrios Mouselimis
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anastasios Tsarouchas
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Afroditi Boutou
- Department of Respiratory Medicine, Ippokratio General Hospital, Thessaloniki, Greece
| | - Georgios Giannakoulas
- First Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vassilios Vassilikos
- Third Department of Cardiology, Ippokratio General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
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Vraka A, Moreno-Arribas J, Gracia-Baena JM, Hornero F, Alcaraz R, Rieta JJ. The Relevance of Heart Rate Fluctuation When Evaluating Atrial Substrate Electrical Features in Catheter Ablation of Paroxysmal Atrial Fibrillation. J Cardiovasc Dev Dis 2022; 9:176. [PMID: 35735805 PMCID: PMC9224671 DOI: 10.3390/jcdd9060176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 12/10/2022] Open
Abstract
Coronary sinus (CS) catheterization is critical during catheter ablation (CA) of atrial fibrillation (AF). However, the association of CS electrical activity with atrial substrate modification has been barely investigated and mostly limited to analyses during AF. In sinus rhythm (SR), atrial substrate modification is principally assessed at a global level through P-wave analysis. Cross-correlating CS electrograms (EGMs) and P-waves’ features could potentiate the understanding of AF mechanisms. Five-minute surface lead II and bipolar CS recordings before, during, and after CA were acquired from 40 paroxysmal AF patients. Features related to duration, amplitude, and heart-rate variability of atrial activations were evaluated. Heart-rate adjustment (HRA) was applied. Correlations between each P-wave and CS local activation wave (LAW) feature were computed with cross-quadratic sample entropy (CQSE), Pearson correlation (PC), and linear regression (LR) with 10-fold cross-validation. The effect of CA between different ablation steps was compared with PC. Linear correlations: poor to mediocre before HRA for analysis at each P-wave/LAW (PC: max. +18.36%, p = 0.0017, LR: max. +5.33%, p = 0.0002) and comparison between two ablation steps (max. +54.07%, p = 0.0205). HRA significantly enhanced these relationships, especially in duration (P-wave/LAW: +43.82% to +69.91%, p < 0.0001 for PC and +18.97% to +47.25%, p < 0.0001 for LR, CA effect: +53.90% to +85.72%, p < 0.0210). CQSE reported negligent correlations (0.6−1.2). Direct analysis of CS features is unreliable to evaluate atrial substrate modification due to CA. HRA substantially solves this problem, potentiating correlation with P-wave features. Hence, its application is highly recommended.
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Affiliation(s)
- Aikaterini Vraka
- BioMIT.org, Electronic Engineering Department, Universitat Politecnica de Valencia, 46022 Valencia, Spain;
| | - José Moreno-Arribas
- Cardiology Department, Saint John’s University Hospital, 03550 Alicante, Spain;
| | - Juan M. Gracia-Baena
- Cardiovascular Surgery Department, Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain; (J.M.G.-B.); (F.H.)
| | - Fernando Hornero
- Cardiovascular Surgery Department, Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain; (J.M.G.-B.); (F.H.)
| | - Raúl Alcaraz
- Research Group in Electronic, Biomedical and Telecommunication Engineering, University of Castilla-La Mancha, 16071 Cuenca, Spain;
| | - José J. Rieta
- BioMIT.org, Electronic Engineering Department, Universitat Politecnica de Valencia, 46022 Valencia, Spain;
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Chen LY, Ribeiro ALP, Platonov PG, Cygankiewicz I, Soliman EZ, Gorenek B, Ikeda T, Vassilikos VP, Steinberg JS, Varma N, Bayés-de-Luna A, Baranchuk A. P Wave Parameters and Indices: A Critical Appraisal of Clinical Utility, Challenges, and Future Research-A Consensus Document Endorsed by the International Society of Electrocardiology and the International Society for Holter and Noninvasive Electrocardiology. CIRCULATION. ARRHYTHMIA AND ELECTROPHYSIOLOGY 2022; 15:e010435. [PMID: 35333097 PMCID: PMC9070127 DOI: 10.1161/circep.121.010435] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Atrial cardiomyopathy, characterized by abnormalities in atrial structure and function, is associated with increased risk of adverse cardiovascular and neurocognitive outcomes, independent of atrial fibrillation. There exists a critical unmet need for a clinical tool that is cost-effective, easy to use, and that can diagnose atrial cardiomyopathy. P wave parameters (PWPs) reflect underlying atrial structure, size, and electrical activation; alterations in these factors manifest as abnormalities in PWPs that can be readily ascertained from a standard 12-lead ECG and potentially be used to aid clinical decision-making. PWPs include P wave duration, interatrial block, P wave terminal force in V1, P wave axis, P wave voltage, P wave area, and P wave dispersion. PWPs can be combined to yield an index (P wave index), such as the morphology-voltage-P-wave duration ECG risk score. Abnormal PWPs have been shown in population-based cohort studies to be independently associated with higher risks of atrial fibrillation, ischemic stroke, sudden cardiac death, and dementia. Additionally, PWPs, either individually or in combination (as a P wave index), have been reported to enhance prediction of atrial fibrillation or ischemic stroke. To facilitate translation of PWPs to routine clinical practice, additional work is needed to standardize measurement of PWPs (eg, via semiautomated or automated measurement), confirm their reliability and predictive value, leverage novel approaches (eg, wavelet analysis of P waves and machine learning algorithms), and finally, define the risk-benefit ratio of specific interventions in high-risk individuals. Our ultimate goal is to repurpose the ubiquitous 12-lead ECG to advance the study, diagnosis, and treatment of atrial cardiomyopathy, thus overcoming critical challenges in prevention of cardiovascular disease and dementia.
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Affiliation(s)
- Lin Yee Chen
- Lillehei Heart Institute & Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis' MN (L.Y.C.)
| | - Antonio Luiz Pinho Ribeiro
- Centro de Telessaúde, Hospital das Clínicas, & Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (A.L.P.R.)
| | - Pyotr G Platonov
- Department of Cardiology, Clinical Sciences, Lund University, Lund' Sweden (P.G.P.)
| | - Iwona Cygankiewicz
- Department of Electrocardiology, Medical University of Lodz, Poland (I.C.)
| | - Elsayed Z Soliman
- Institute of Global Health & Human Ecology, American University in Cairo, Cairo, Egypt (E.Z.S.).,Epidemiological Cardiology Research Center (EPICARE), Department of Internal Medicine, Section on Cardiovascular Medicine, Wake Forest School of Medicine, Winston Salem, NC (E.Z.S.)
| | - Bulent Gorenek
- Department of Cardiology, Eskişehir Osmangazi University, Eskisehir, Turkey (B.G.)
| | - Takanori Ikeda
- Department of Cardiovascular Medicine, Toho University Faculty of Medicine, Tokyo' Japan (T.I.)
| | - Vassilios P Vassilikos
- Third Cardiology Department, Hippokrateio General Hospital, Medical School, Aristotle University of Thessaloniki, Greece (V.P.V.)
| | - Jonathan S Steinberg
- Clinical Cardiovascular Research Center, Univ of Rochester School of Medicine & Dentistry, Rochester, NY (J.S.S.)
| | - Niraj Varma
- Cardiac Electrophysiology, Heart & Vascular Institute, Cleveland Clinic, Cleveland' OH (N.V.)
| | - Antoni Bayés-de-Luna
- Cardiovascular Research Foundation. Cardiovascular ICCC-Program, Research Institute Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain (A.B.-d.-L.)
| | - Adrian Baranchuk
- Division of Cardiology, Kingston Health Science, Center, Queen's University, Kingston, Ontario, Canada (A.B.)
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Tachmatzidis D, Tsarouchas A, Mouselimis D, Filos D, Antoniadis AP, Lysitsas DN, Mezilis N, Sakellaropoulou A, Giannopoulos G, Bakogiannis C, Triantafyllou K, Fragakis N, Letsas KP, Asvestas D, Efremidis M, Lazaridis C, Chouvarda I, Vassilikos VP. P-Wave Beat-to-Beat Analysis to Predict Atrial Fibrillation Recurrence after Catheter Ablation. Diagnostics (Basel) 2022; 12:diagnostics12040830. [PMID: 35453877 PMCID: PMC9028701 DOI: 10.3390/diagnostics12040830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/17/2022] [Accepted: 03/24/2022] [Indexed: 11/23/2022] Open
Abstract
The identification of patients prone to atrial fibrillation (AF) relapse after catheter ablation is essential for better patient selection and risk stratification. The current prospective cohort study aims to validate a novel P-wave index based on beat-to-beat (B2B) P-wave morphological and wavelet analysis designed to detect patients with low burden AF as a predictor of AF recurrence within a year after successful catheter ablation. From a total of 138 consecutive patients scheduled for AF ablation, 12-lead ECG and 10 min vectorcardiogram (VCG) recordings were obtained. Univariate analysis revealed that patients with higher B2B P-wave index had a two-fold risk for AF recurrence (HR: 2.35, 95% CI: 1.24–4.44, p: 0.010), along with prolonged P-wave, interatrial block, early AF recurrence, female gender, heart failure history, previous stroke, and CHA2DS2-VASc score. Multivariate analysis of assessable predictors before ablation revealed that B2B P-wave index, along with heart failure history and a history of previous stroke or transient ischemic attack, are independent predicting factors of atrial fibrillation recurrence. Further studies are needed to assess the predictive value of the B2B index with greater accuracy and evaluate a possible relationship with atrial substrate analysis.
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Affiliation(s)
- Dimitrios Tachmatzidis
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
- Correspondence:
| | - Anastasios Tsarouchas
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Dimitrios Mouselimis
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Dimitrios Filos
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (D.F.); (I.C.)
| | - Antonios P. Antoniadis
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | | | - Nikolaos Mezilis
- St. Luke’s Hospital Thessaloniki, 552 36 Thessaloniki, Greece; (D.N.L.); (N.M.)
| | - Antigoni Sakellaropoulou
- Electrophysiology Laboratory, 2nd Department of Cardiology, Evangelismos General Hospital of Athens, 106 76 Athens, Greece; (A.S.); (K.P.L.); (D.A.); (M.E.)
| | - Georgios Giannopoulos
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Constantinos Bakogiannis
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Konstantinos Triantafyllou
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Nikolaos Fragakis
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Konstantinos P. Letsas
- Electrophysiology Laboratory, 2nd Department of Cardiology, Evangelismos General Hospital of Athens, 106 76 Athens, Greece; (A.S.); (K.P.L.); (D.A.); (M.E.)
| | - Dimitrios Asvestas
- Electrophysiology Laboratory, 2nd Department of Cardiology, Evangelismos General Hospital of Athens, 106 76 Athens, Greece; (A.S.); (K.P.L.); (D.A.); (M.E.)
| | - Michael Efremidis
- Electrophysiology Laboratory, 2nd Department of Cardiology, Evangelismos General Hospital of Athens, 106 76 Athens, Greece; (A.S.); (K.P.L.); (D.A.); (M.E.)
| | - Charalampos Lazaridis
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
| | - Ioanna Chouvarda
- Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (D.F.); (I.C.)
| | - Vassilios P. Vassilikos
- 3rd Cardiology Department, Hippokrateion University Hospital, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece; (A.T.); (D.M.); (A.P.A.); (G.G.); (C.B.); (K.T.); (N.F.); (C.L.); (V.P.V.)
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Patel MH, Sampath S, Kapoor A, Damani DN, Chellapuram N, Challa AB, Kaur MP, Walton RD, Stavrakis S, Arunachalam SP, Kulkarni K. Advances in Cardiac Pacing: Arrhythmia Prediction, Prevention and Control Strategies. Front Physiol 2021; 12:783241. [PMID: 34925071 PMCID: PMC8674736 DOI: 10.3389/fphys.2021.783241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 11/08/2021] [Indexed: 02/01/2023] Open
Abstract
Cardiac arrhythmias constitute a tremendous burden on healthcare and are the leading cause of mortality worldwide. An alarming number of people have been reported to manifest sudden cardiac death as the first symptom of cardiac arrhythmias, accounting for about 20% of all deaths annually. Furthermore, patients prone to atrial tachyarrhythmias such as atrial flutter and fibrillation often have associated comorbidities including hypertension, ischemic heart disease, valvular cardiomyopathy and increased risk of stroke. Technological advances in electrical stimulation and sensing modalities have led to the proliferation of medical devices including pacemakers and implantable defibrillators, aiming to restore normal cardiac rhythm. However, given the complex spatiotemporal dynamics and non-linearity of the human heart, predicting the onset of arrhythmias and preventing the transition from steady state to unstable rhythms has been an extremely challenging task. Defibrillatory shocks still remain the primary clinical intervention for lethal ventricular arrhythmias, yet patients with implantable cardioverter defibrillators often suffer from inappropriate shocks due to false positives and reduced quality of life. Here, we aim to present a comprehensive review of the current advances in cardiac arrhythmia prediction, prevention and control strategies. We provide an overview of traditional clinical arrhythmia management methods and describe promising potential pacing techniques for predicting the onset of abnormal rhythms and effectively suppressing cardiac arrhythmias. We also offer a clinical perspective on bridging the gap between basic and clinical science that would aid in the assimilation of promising anti-arrhythmic pacing strategies.
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Affiliation(s)
- Mehrie Harshad Patel
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States
| | - Shrikanth Sampath
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States
| | - Anoushka Kapoor
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States
| | | | - Nikitha Chellapuram
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States
| | | | - Manmeet Pal Kaur
- Department of Medicine, GAIL, Mayo Clinic, Rochester, MN, United States
| | - Richard D. Walton
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France
- Centre de Recherche Cardio-Thoracique de Bordeaux, University of Bordeaux, Bordeaux, France
- INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Bordeaux, France
| | - Stavros Stavrakis
- Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Shivaram P. Arunachalam
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States
- Department of Medicine, GAIL, Mayo Clinic, Rochester, MN, United States
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Kanchan Kulkarni
- IHU LIRYC, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, Bordeaux, France
- Centre de Recherche Cardio-Thoracique de Bordeaux, University of Bordeaux, Bordeaux, France
- INSERM, Centre de Recherche Cardio-Thoracique de Bordeaux, Bordeaux, France
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7
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Filos D, Chouvarda I, Tachmatzidis D, Vassilikos V, Maglaveras N. Beat-to-beat P-wave morphology as a predictor of paroxysmal atrial fibrillation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2017; 151:111-121. [PMID: 28946993 DOI: 10.1016/j.cmpb.2017.08.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 08/11/2017] [Accepted: 08/21/2017] [Indexed: 06/07/2023]
Abstract
BACKGROUND AND OBJECTIVES Atrial Fibrillation (AF) is the most common cardiac arrhythmia. The initiation and the perpetuation of AF is linked with phenomena of atrial remodeling, referring to the modification of the electrical and structural characteristics of the atrium. P-wave morphology analysis can reveal information regarding the propagation of the electrical activity on the atrial substrate. The purpose of this study is to investigate patterns on the P-wave morphology that may occur in patients with Paroxysmal AF (PAF) and which can be the basis for distinguishing between PAF and healthy subjects. METHODS Vectorcardiographic signals in the three orthogonal axes (X, Y and Z), of 3-5 min duration, were analyzed during SR. In total 29 PAF patients and 34 healthy volunteers were included in the analysis. These data were divided into two distinct datasets, one for the training and one for the testing of the proposed approach. The method is based on the identification of the dominant and the secondary P-wave morphology by combining adaptive k-means clustering of morphologies and a beat-to-beat cross correlation technique. The P-waves of the dominant morphology were further analyzed using wavelet transform whereas time domain characteristics were also extracted. Following a feature selection step, a SVM classifier was trained, for the discrimination of the PAF patients from the healthy subjects, while its accuracy was tested using the independent testing dataset. RESULTS In the cohort study, in both groups, the majority of the P-waves matched a main and a secondary morphology, while other morphologies were also present. The percentage of P-waves which simultaneously matched the main morphology in all three leads was lower in PAF patients (90.4 ± 7.8%) than in healthy subjects (95.5 ± 3.4%, p= 0.019). Three optimal scale bands were found and wavelet parameters were extracted which presented statistically significant differences between the two groups. Classification between the two groups was based on a feature selection process which highlighted 7 features, while an SVM classifier resulted a balanced accuracy equal to 93.75%. The results show the virtue of beat-to-beat analysis for PAF prediction. CONCLUSION The difference in the percentage of the main P-wave-morphology and in the P-wave time-frequency characteristics suggests a higher electrical instability of the atrial substrate in patients with PAF and different conduction patterns in the atria.
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Affiliation(s)
- Dimitrios Filos
- Laboratory of Computing and Medical Informatics, Aristotle University of Thessaloniki, Box 323, 54124, Thessaloniki, Greece.
| | - Ioanna Chouvarda
- Laboratory of Computing and Medical Informatics, Aristotle University of Thessaloniki, Box 323, 54124, Thessaloniki, Greece.
| | | | | | - Nicos Maglaveras
- Laboratory of Computing and Medical Informatics, Aristotle University of Thessaloniki, Box 323, 54124, Thessaloniki, Greece.
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Diferencias entre 2 electrocardiogramas sinusales como predictoras de fibrilación auricular: estudio de cohorte. ARCHIVOS DE CARDIOLOGIA DE MEXICO 2016; 86:140-7. [DOI: 10.1016/j.acmx.2016.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 01/19/2016] [Accepted: 01/19/2016] [Indexed: 11/20/2022] Open
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Dakos G, Konstantinou D, Chatzizisis YS, Chouvarda I, Filos D, Paraskevaidis S, Mantziari L, Maglaveras N, Karvounis H, Vassilikos V. P wave analysis with wavelets identifies hypertensive patients at risk of recurrence of atrial fibrillation: A case–control study and 1year follow-up. J Electrocardiol 2015. [DOI: 10.1016/j.jelectrocard.2015.07.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Alcaraz R, Martínez A, Rieta JJ. Role of the P-wave high frequency energy and duration as noninvasive cardiovascular predictors of paroxysmal atrial fibrillation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2015; 119:110-119. [PMID: 25758369 DOI: 10.1016/j.cmpb.2015.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Revised: 12/14/2014] [Accepted: 01/21/2015] [Indexed: 06/04/2023]
Abstract
A normal cardiac activation starts in the sinoatrial node and then spreads throughout the atrial myocardium, thus defining the P-wave of the electrocardiogram. However, when the onset of paroxysmal atrial fibrillation (PAF) approximates, a highly disturbed electrical activity occurs within the atria, thus provoking fragmented and eventually longer P-waves. Although this altered atrial conduction has been successfully quantified just before PAF onset from the signal-averaged P-wave spectral analysis, its evolution during the hours preceding the arrhythmia has not been assessed yet. This work focuses on quantifying the P-wave spectral content variability over the 2h preceding PAF onset with the aim of anticipating as much as possible the arrhythmic episode envision. For that purpose, the time course of several metrics estimating absolute energy and ratios of high- to low-frequency power in different bands between 20 and 200Hz has been computed from the P-wave autoregressive spectral estimation. All the analyzed metrics showed an increasing variability trend as PAF onset approximated, providing the P-wave high-frequency energy (between 80 and 150Hz) a diagnostic accuracy around 80% to discern between healthy subjects, patients far from PAF and patients less than 1h close to a PAF episode. This discriminant power was similar to that provided by the most classical time-domain approach, i.e., the P-wave duration. Furthermore, the linear combination of both metrics improved the diagnostic accuracy up to 88.07%, thus constituting a reliable noninvasive harbinger of PAF onset with a reasonable anticipation. The information provided by this methodology could be very useful in clinical practice either to optimize the antiarrhythmic treatment in patients at high-risk of PAF onset and to limit drug administration in low risk patients.
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Affiliation(s)
- Raúl Alcaraz
- Innovation in Bioengineering Research Group, University of Castilla-La Mancha, Spain..
| | - Arturo Martínez
- Innovation in Bioengineering Research Group, University of Castilla-La Mancha, Spain
| | - José J Rieta
- Biomedical Synergy, Electronic Engineering Department, Universidad Politécnica de Valencia, Spain
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Alcaraz R, Martínez A, Rieta JJ. The P Wave Time-Frequency Variability Reflects Atrial Conduction Defects before Paroxysmal Atrial Fibrillation. Ann Noninvasive Electrocardiol 2014; 20:433-45. [PMID: 25418673 DOI: 10.1111/anec.12240] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND The study of atrial conduction defects associated with the onset of paroxysmal atrial fibrillation (PAF) can be addressed by analyzing the P wave from the surface electrocardiogram (ECG). Traditionally, signal-averaged ECGs have been mostly used for this purpose. However, this alternative hinders the possibility to quantify every single P wave, its variability over time, as well as to obtain complimentary and evolving information about the arrhythmia. This work analyzes the time progression of several time and frequency P wave features as potential indicators of atrial conduction variability several hours preceding the onset of PAF. METHODS The longest sinus rhythm interval from 24-hour Holter recordings of 46 PAF patients was selected. Next, the 2 hours before the onset of PAF were extracted and divided into two 1-hour periods. Every single P wave was automatically delineated and characterized by 16 time and frequency metrics, such as its duration, absolute energy in several frequency bands and high-to-low-frequency energy ratios. Finally, the P wave variability over each 1-hour period was estimated from the 16 features making use of a least-squares linear fitting. As a reference, the same parameters were also estimated from a set of 1-hour ECG segments randomly chosen from a control group of 53 healthy subjects age-, gender-, and heart rate-matched. RESULTS All the analyzed metrics provided an increasing P wave variability trend as the onset of PAF approximated, being P wave duration and P wave high-frequency energy the most significant individual metrics. The linear fitting slope α associated with P wave duration was (2.48 ± 1.98)×10(-2) for healthy subjects, (23.8 ± 14.1)×10(-2) for ECG segments far from PAF and for (81.8 ± 48.7)×10(-2) ECG segments close to PAF p = 6.96×10(-22) . Similarly, the P wave high-frequency energy linear fitting slope was (2.42 ± 4.97)×10(-9) , (54.2 ± 107.1)×10(-9) and (274.2 ± 566.1)×10(-9) , respectively (p = 2.85×10(-20) ). A univariate discriminant analysis provided that both P wave duration and P wave high-frequency energy could discern among the three ECG sets with diagnostic ability around 80%, which was improved up to 88% by combining these metrics in a multivariate discriminant analysis. CONCLUSION Alterations in atrial conduction can be successfully quantified several hours before the onset of PAF by estimating variability over time of several time and frequency P wave features.
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Affiliation(s)
- Raúl Alcaraz
- Innovation in Bioengineering Research Group, University of Castilla-La Mancha, Cuenca, Spain
| | - Arturo Martínez
- Innovation in Bioengineering Research Group, University of Castilla-La Mancha, Cuenca, Spain
| | - José J Rieta
- Biomedical Synergy, Electronic Engineering Department, Universidad Politécnica de Valencia, Valencia, Spain
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Martínez A, Alcaraz R, Rieta JJ. Gaussian modeling of the P-wave morphology time course applied to anticipate paroxysmal atrial fibrillation. Comput Methods Biomech Biomed Engin 2014; 18:1775-84. [PMID: 25298113 DOI: 10.1080/10255842.2014.964219] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
This paper introduces a new algorithm to quantify the P-wave morphology time course with the aim of anticipating as much as possible the onset of paroxysmal atrial fibrillation (PAF). The method is based on modeling each P-wave with a single Gaussian function and analyzing the extracted parameters variability over time. The selected Gaussian approaches are associated with the amplitude, peak timing, and width of the P-wave. In order to validate the algorithm, electrocardiogram segments 2 h preceding the onset of PAF episodes from 46 different patients were assessed. According to the expected intermittently disturbed atrial conduction before the onset of PAF, all the analyzed Gaussian metrics showed an increasing variability trend as the PAF onset approximated. Moreover, the Gaussian P-wave width reported a diagnostic accuracy around 80% to discern between healthy subjects, patients far from PAF, and patients less than 1 h close to a PAF episode. This discriminant power was similar to those provided by the most classical time-domain approach, i.e., the P-wave duration. However, this newly proposed parameter presents the advantage of being less sensitive to a precise delineation of the P-wave boundaries. Furthermore, the linear combination of both metrics improved the diagnostic accuracy up to 86.69%. In conclusion, morphological P-wave characterization provides additional information to the metrics based on P-wave timing.
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Affiliation(s)
- Arturo Martínez
- a Innovation in Bioengineering Research Group , University of Castilla-La Mancha , Cuenca , Spain
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Dakos G, Chatzizisis YS, Konstantinou D, Chouvarda I, Filos D, Paraskevaidis S, Mantziari L, Maglaveras N, Karvounis H, Styliadis I, Vassilikos V. Wavelet-based analysis of P waves identifies patients with lone atrial fibrillation: A cross-sectional pilot study. Int J Cardiol 2014; 174:389-92. [PMID: 24767760 DOI: 10.1016/j.ijcard.2014.03.195] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2014] [Accepted: 03/31/2014] [Indexed: 11/17/2022]
Affiliation(s)
- George Dakos
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece.
| | - Yiannis S Chatzizisis
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece; Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Dimitrios Konstantinou
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece
| | - Ioanna Chouvarda
- Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece
| | - Dimitrios Filos
- Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece
| | - Stylianos Paraskevaidis
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece
| | - Lilian Mantziari
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece; Department of Cardiology, Electrophysiology Unit, Royal Brompton Hospital, London, UK
| | - Nicos Maglaveras
- Laboratory of Medical Informatics, Aristotle University Medical School, Thessaloniki, Greece
| | - Haralambos Karvounis
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece
| | - Ioannis Styliadis
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece
| | - Vassilios Vassilikos
- First Department of Cardiology, AHEPA University Hospital, Aristotle University Medical School, Thessaloniki, Greece; Third Department of Cardiology, Hippokrateion University Hospital, Aristotle University Medical School, Thessaloniki, Greece
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Martínez A, Alcaraz R, Rieta JJ. Morphological variability of the P-wave for premature envision of paroxysmal atrial fibrillation events. Physiol Meas 2013; 35:1-14. [PMID: 24345763 DOI: 10.1088/0967-3334/35/1/1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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A combination of P wave electrocardiography and plasma brain natriuretic peptide level for predicting the progression to persistent atrial fibrillation: comparisons of sympathetic activity and left atrial size. J Interv Card Electrophysiol 2013; 38:79-84. [DOI: 10.1007/s10840-013-9818-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2013] [Accepted: 06/17/2013] [Indexed: 01/08/2023]
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Filos D, Chouvarda I, Dakos G, Mantziari L, Vassilikos V, Maglaveras N. Wavelet variability of SA node originated P waves in atrial fibrillation and in signals with ectopic beats. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2013; 2012:6369-72. [PMID: 23367386 DOI: 10.1109/embc.2012.6347451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Atrial fibrillation (AF) is one of the most common cardiac arrhythmia. Electrical properties of the atrial myocardium may be related to the appearance of this type of arrhythmia. However ectopic beats, occurring normally in healthy people, disturb cardiac rhythm. Those beats arise from fiber outside the region of SA node. With this work we aim at highlighting differences in the atrial activity between healthy subjects, healthy subjects presenting many ectopic events and patients with AF. The X-Y-Z leads of vectorcardiography recordings are considered. Wavelet-based parameters are extracted from a window which represents atrial activity originated from SA node and compared between signals of the three groups. Results show differences potentially related to the conduction system of the atrium between healthy people and people with AF, as well as between healthy people and people with ectopic events. No difference was found from the analysis of SA node beats between people with AF and healthy with ectopic events.
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Affiliation(s)
- D Filos
- Lab of Medical Informatics, Aristotle University of Thessaloniki, Greece.
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Filos D, Chouvarda I, Dakos G, Vassilikos V, Maglaveras N. Two dimensional wavelet energy analysis on a beat to beat basis: application to Atrial Fibrillation. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2013; 2013:3793-3796. [PMID: 24110557 DOI: 10.1109/embc.2013.6610370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Atrial Fibrillation (AF) is a condition in which heart rhythm is not associated with normal sinoatrial (SA) node pacemaker but it derives from different areas on the atrium, often from the area of Pulmonary veins (PVs) A way to eliminate the influence of PVs in the inducement of AF is the PVs isolation surgery. In this study, an effort is made towards investigating the morphology and dynamics of P-waves, when the potentially arrhythmogenic tissue in PVs is involved or isolated via ablation. For this reason, 20 patients who were subjected to PVs isolation were studied, via vectrorcardiography recordings obtained before and after the ablation. Wavelet energies for five frequency bands were analyzed, using a two dimensional representation. The proposed technique was applied for the analysis of wavelet energies in consecutive beats, and their correlation with the RR interval. Features for the evaluation of those plots were extracted, such as the axes of a fitted to the plot ellipse and the center of the mass. The statistical analysis demonstrated significant differences between the groups, which imply the modification of the atrial substrate concerning electrical conduction toward to a more stable condition.
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Girasis C, Vassilikos V, Efthimiadis GK, Papadopoulou SL, Dakos G, Dalamaga EG, Chouvarda I, Giannakoulas G, Kamperidis V, Paraskevaidis S, Maglaveras N, Karvounis HI, Parcharidis GE, Styliadis IH. Patients with hypertrophic cardiomyopathy at risk for paroxysmal atrial fibrillation: advanced echocardiographic evaluation of the left atrium combined with non-invasive P-wave analysis. Eur Heart J Cardiovasc Imaging 2012; 14:425-34. [DOI: 10.1093/ehjci/jes172] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Censi F, Calcagnini G, Corazza I, Mattei E, Triventi M, Bartolini P, Boriani G. On the resolution of ECG acquisition systems for the reliable analysis of the P-wave. Physiol Meas 2012; 33:N11-7. [DOI: 10.1088/0967-3334/33/2/n11] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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