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Editorial

New Perspectives on Risk Stratification and Treatment in Patients with Atrial Fibrillation: An Analysis of Recent Contributions on the Journal of Cardiovascular Disease and Development

by
Giuseppe Boriani
1,*,
Niccolò Bonini
1,2,
Jacopo Francesco Imberti
1,2 and
Marco Vitolo
1,2
1
Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, 41124 Modena, Italy
2
Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, 41124 Modena, Italy
*
Author to whom correspondence should be addressed.
J. Cardiovasc. Dev. Dis. 2023, 10(2), 61; https://doi.org/10.3390/jcdd10020061
Submission received: 12 December 2022 / Revised: 10 January 2023 / Accepted: 16 January 2023 / Published: 2 February 2023
(This article belongs to the Section Electrophysiology and Cardiovascular Physiology)
The medical approach to atrial fibrillation (AF) underwent a paradigm shift over time, evolving from considering AF as a simple arrhythmic phenomenon to a complex nosological entity [1,2].
Atrial fibrillation is the most common sustained arrhythmia in clinical practice, with a lifetime risk of one in three individuals aged ≥55 years old [3]. However, the epidemiological burden of AF may be underestimated since a significant number of AF cases may be asymptomatic and occasionally detected or require prolonged/continuous monitoring [4,5,6]. Asymptomatic AF, when clinically detected, even incidentally, is associated with the same risk of mortality and stroke/thromboembolic events as symptomatic AF [7], and this has promoted the screening of AF in order to detect asymptomatic AF and prescribe oral anticoagulants (OACs) in patients at risk [8].
The impressive evolution of technology in digital tools and wearables for checking cardiac rhythm has markedly widened the possibility of detecting AF [9,10], also as a consumer-initiated practice that should be addressed in medical consultations [11]. However, there are still grey zones for the widespread adoption of mobile-health devices, linked to limited digital literacy among elderly patients [12] and a lack of well-defined reimbursement policies [9,13].
Currently, the most recent European guidelines [14] advocate an integrated and holistic clinical management of AF patients through the Atrial fibrillation Better Care (ABC) pathway (i.e., “A” avoid stroke and starting anticoagulation when possible, “B”, better symptoms management and “C” cardiovascular and comorbidities optimization) [3,15,16,17]. Compared with usual care, adherence to the ABC pathway has been associated with a marked reduction in adverse outcomes in general AF patients and high-risk populations [17,18,19,20]. Additionally, given the complexity of AF, a structured characterization of the arrhythmia based on the 4S-AF scheme (Stroke Risk and Symptoms evaluation, Severity of Burden and Substrate of the arrhythmias) has been proposed [21,22].
Beyond the established benefit of OACs in patients at risk, in recent years, the clinical management of AF has also deeply focused on rhythm control interventions, mostly due to the evidence of randomised controlled trials (RCTs). Thus, the literature has concentrated on several risk factors and the interplay between comorbidities underlying AF development in the pre-clinical and clinical setting, especially in AF high-risk populations, aiming for better patients’ selection for rhythm control strategies and mitigating the risk of adverse outcomes [19,23].
Since 2020, the Journal of Cardiovascular Development and Diseases (JCDD) has significantly contributed to these central themes of AF. Among JCDD publications, 10% of the total articles were strictly related to AF, from basic science to RCTs. During these few years, there was a progressively increasing trend in AF publications, providing us with a rich insight into the topic.
As previously mentioned, much attention has been paid to the ultrastructural alteration of the left atrium (LA) in AF patients following the intriguing issue of atrial cardiomyopathy [24,25,26]. Several basic-science studies have investigated the micro-structural LA reproductions and the applicability of the new modality of catheter ablation in respect of such LA alterations [27,28,29,30]. The fetal AF theory was highlighted in some valuable papers enforcing the concept of the influence in AF predisposition both from the ambient, behaviour and lifestyle [31,32,33] and from the embryogenesis [34,35,36]/genetic pabulum [37].
In these years, many efforts have been made to consolidate the evidence regarding traditional pharmacological and non-pharmacological treatments in AF patients, including non-vitamin K antagonists (NOACs), LA appendage occlusion (LAAO), catheter ablation and promising treatments, such as sodium–glucose co-transporter (SGLT) inhibitors [38,39].
In the challenging group of patients with a high risk of bleeding, Chen et al. [40] elegantly showed no significant differences in thromboembolic and bleeding events between patients treated with NOACs and patients undergoing LAAO. In addition, Cepas-Guillen et al. [41] reported that low-dose apixaban after LAAO may be an excellent antithrombotic strategy to prevent the incidence of device thrombosis with a favourable safety profile compared with other antithrombotic therapies.
Interesting evidence regarding pharmacological treatments in specific subgroups of patients with AF has been published [42]. Notably, recent data suggested that SGLT2 inhibitors may be associated with reducing the incidence of AF in HF patients [43].
Rhythm control strategies are becoming the first-line therapy for many AF patients [23,44]. Catheter ablation is one of the most improving techniques to treat non-permanent AF. An increasing amount of evidence on radiofrequency catheter ablation (RFCA), cryoballoon ablation (CB), and pulse-field (PF) ablation has been recently reported both in animal and human models [30,45,46].
Regarding RFCA optimization, Seidl et al. [47] found that a high-power short-duration ablation was comparable in terms of efficacy rates after one year to the conventional strategy approach. Another interesting analysis showed that unipolar electrogram-guided and lesion size index-guided RCFA were both effective and safe in patients with paroxysmal AF, but unipolar electrogram-guided might be more suitable for guiding RFCA [48].
Although RFCA has been the treatment of choice for many years, the use of CB has steadily increased, showing similar long-term outcomes [49,50]. Independently of the energy used, either radiofrequency or cryoenergy, several variables should be carefully evaluated, such as the duration of the application, position, stability and contact of the catheter, number of applications, etc., to produce the best transmural lesions [51]. In this perspective, a recent RCT reported no difference in AF recurrences between RF and CA [52]. Conversely, the NO-PERSAF trial highlighted how CB-CA vs. RF-CA led to shorter procedures and ablation duration, with less recurrence [53]. Gunkel et al. [54] compared the efficacy, safety, and characteristics of two cryoablation systems. The two systems (i.e., POLARx, Boston Scientific vs. Arctic Front Advance-Pro, AFA, Medtronic) were both effective and safe in AF patients, with some differences in procedure and fluoroscopy times as well as nadir temperatures. Comparing the mid-term efficacy and procedural outcomes of persistent AF patients with CB and robotic magnetic navigation (RMN), Li and colleagues [55] found that CB is generally equivalent to RMN-guided ablation. The PF-CA may be an additional resource in the future of AF ablation for its extreme specificity in inducing apoptosis in the myocardiocytes by electroporation. Although animal studies represented the most conspicuous part of the literature on this topic [30], some initial human experience found the procedure safe and relatively simple to learn [56].
Among the different types of CA presented above, the hybrid (surgical and endocardial) CA approach has been investigated, although less used and with a higher percentage of complications suggesting its use only in selected patients [57].
From a clinical standpoint, it is important to assess the efficacy of CA ablation, both in the short and long term, identifying possible predictors of recurrences. As a marker of procedure unsuccess, the presence of epicardial fat is associated with a higher recurrence risk after catheter ablation in AF patients [36,58]. Left atrial spontaneous echo contrast detected at the trans-esophagal echocardiogram (TEE) may also be a good predictor of the recurrence of AF after catheter ablation in patients with LA dilation [59]. Patient comorbidities are a crucial aspect of ablation success, also in terms of clinical outcomes. A multicenter analysis of AF patients treated with cryoablation found that patients with chronic kidney disease, even with mild to moderate reduction in renal function, were associated with a higher risk of AF recurrences [60]. Conversely, the procedural success and complication rates were similar in patients with normal, mildly reduced, or mild to moderate reduction in glomerular filtration rate [60]. A case-control study showed that obese patients did not have higher AF recurrence rates after CA compared to patients with normal body weight, suggesting that body mass index alone may not be a criterion for refusing catheter ablation [61]. Beyond catheter ablation’s efficacy in arrhythmia recurrences, some recent studies have explored the interesting association between AF and dementia and the possible role of rhythm control strategies in preventing cognitive decline [62,63]. For example, an interesting meta-analysis by Saglietto et al. [63] found that older patients with AF who underwent catheter ablation were associated with a nearly 50% reduction in dementia in a mid-term follow-up.
Lastly, a rising aspect is the risk of post-CA left atrial tachycardia (LAT), which may sometimes be more symptomatic than the initial AF [64,65]. Macro-reentrant tachycardia was the predominant electrophysiological mechanism of LAT. Interestingly, in most of the patients with macro-reentry LAT, there was a reconnection of at least one pulmonary vein [64].
The management of AF in particular subgroups of patients is undoubtfully a challenging clinical issue and deserves some consideration. Atrial fibrillation detected during infections or post-cardiac and non-cardiac surgery settings is one of the most controversial, with some uncertainty surrounding its best clinical practice [66,67]. On the one hand, Marazzato et al. [68], in an extended follow-up, found that postoperative AF (POAF) in cardiac surgery was not associated with an increased risk of mortality; on the other, a recent metanalysis found an increase of adverse outcomes in patients who underwent non-cardiac surgery [66] and the so-called “transient AF” had a two-fold higher risk of stroke and thromboembolism, suggesting that it should be not considered a benign entity without clinical implications at long-term. Regarding the prevention strategy of AF in the postoperative setting, Nomani and colleagues [69] summarized recent evidence of several RCTs and meta-analyses highlighting the possible efficacy of statins in POAF prevention, especially for atorvastatin. In addition, the Colchicine in Cardiac Surgery randomized clinical trial demonstrated the efficacy of short-term colchicine intake in preventing POAF after coronary artery bypass graft and/or aortic valvular replacement [70].
Interesting insights have also been recently reported in the setting of critically ill patients [71]. For example, in septic patients with AF, a low haemoglobin-to-red cell distribution width ratio was associated with an increased risk of all-cause death in-hospital, supporting the prognostic role of specific and routinely available biomarkers in the AF population [72,73,74].
Looking at the increased risk of AF incidence in particular populations, an observational study evaluated the possible early predictors of AF in post-stroke patients [75]. The study found that the supra-ventricular runs at the 7-day Holter-ECG were associated with a higher incidence of AF at three years of follow-up [75]. In addition, in a recent publication about heart failure with preserved ejection fraction (HFpEF) patients, women with AF vs. no AF had more abnormal structural and functional cardiac dysfunction with an increased risk of adverse cardiovascular outcomes independently of traditional risk factors and comorbidities [76]. In hypertensive patients, although several studies reported a clinical benefit of renin–angiotensin–aldosterone system inhibitors in reducing the incidence of AF, a comprehensive review highlighted that this benefit may be greatly reduced when AF diagnosis is already established, suggesting the need for the implementation of primary prevention strategies in patients at risk [77].
Overall, these studies claimed the necessity of structured screening programmes aimed at early AF detection and a rapid referral to a cardiologist for evaluation [10,14].
In conclusion, two leading concepts for the future perspective of AF research may be identified. First, AF-type substrate identification is becoming crucial. As mentioned above, there is an emerging focus on atrial cardiomyopathy, including the ultrastructural manifestation of the disease. In silico, computational and in vitro studies provided exciting insights for future clinical trials dedicated to AF ablation, intending to ensure more robust evidence. As per recent European Society of Cardiology guidelines [14] and the paradigm shift mentioned above, an in-depth substrate analysis of AF patients is necessary for the AF clinical evaluation within the 4S-AF approach [21]. The biological molecular data, histological and circulation biomarkers evaluation are becoming an essential part of the AF research panorama, striving for better comprehension of the previous and current mechanism of AF.
The second key message is that AF is not a lone disease. Clinical complexity is increasingly prevalent among patients with AF, thus requiring a holistic and structured approach to the patients [19]. Heart failure, hypertension and diabetes, chronic kidney disease, and cardiac structural and functional integrity should be carefully evaluated and managed with integrated care [78,79]. The clinical heterogeneity of AF patients often has a marked impact on outcomes and appears to complicate the planning of clinical trials. Moreover, the efficacy of some treatments in such a complex scenario may need to be revised in terms of evidence-based therapeutic proposals for AF patients. Considering the progressive ageing population and the burden of comorbidities, it appears desirable to maintain a virtuous circle from the experimental evidence, RCTs and “real-world” registries. The RCTs are the summit of the evidence pyramid providing the highest level of guideline recommendations, whose adherence could be verified in real-world disease-specific registries and large observational studies. This will result in a completer and more prosperous overview for future decisions on AF management, targeted to avoid the progression of AF and to improve patient outcomes [80].

Conflicts of Interest

G.B. received small speaker fees from Bayer, Boston, Boehringer Ingelheim, Brystol Myers Squibb, Janssen and Sanofi outside of the submitted work. The other authors declare no conflicts of interest.

References

  1. Boriani, G.; Vitolo, M.; Diemberger, I.; Proietti, M.; Valenti, A.C.; Malavasi, V.L.; Lip, G.Y.H. Optimizing indices of atrial fibrillation suscep-tibility and burden to evaluate atrial fibrillation severity, risk and outcomes. Cardiovasc. Res. 2021, 117, 1–21. [Google Scholar] [CrossRef]
  2. Deb, B.; Ganesan, P.; Feng, R.; Narayan, S.M. Identifying Atrial Fibrillation Mechanisms for Personalized Medicine. J. Clin. Med. 2021, 10, 5679. [Google Scholar] [CrossRef]
  3. Boriani, G.; Vitolo, M.; Lane, D.A.; Potpara, T.S.; Lip, G.Y. Beyond the 2020 guidelines on atrial fibrillation of the European society of cardiology. Eur. J. Intern. Med. 2021, 86, 1–11. [Google Scholar] [CrossRef]
  4. Proietti, M.; Romiti, G.F.; Vitolo, M.; Borgi, M.; Rocco, A.D.; Farcomeni, A.; Miyazawa, K.; Healey, J.S.; Lane, D.A.; Boriani, G.; et al. Epidemiology of subclinical atrial fibrillation in pa-tients with cardiac implantable electronic devices: A systematic review and meta-regression. Eur. J. Intern. Med. 2022, 103, 84–94. [Google Scholar] [CrossRef]
  5. Freedman, B.; Camm, J.; Calkins, H.; Healey, J.S.; Rosenqvist, M.; Wang, J.; Albert, C.M.; Anderson, C.S.; Antoniou, S.; Benjamin, E.J.; et al. Screening for Atrial Fibrillation: A Report of the AF-SCREEN International Collaboration. Circulation 2017, 135, 1851–1867. [Google Scholar] [CrossRef]
  6. Vitolo, M.; Lip, G.Y.H. Understanding the global burden of atrial fibrillation and regional variations: We need improvement. Cardiovasc. Res. 2021, 117, 1420–1422. [Google Scholar] [CrossRef] [PubMed]
  7. Sgreccia, D.; Manicardi, M.; Malavasi, V.L.; Vitolo, M.; Valenti, A.C.; Proietti, M.; Lip, G.Y.H.; Boriani, G. Comparing Outcomes in Asymptomatic and Symptomatic Atrial Fibrillation: A Systematic Review and Meta-Analysis of 81,462 Patients. J. Clin. Med. 2021, 10, 3979. [Google Scholar] [CrossRef] [PubMed]
  8. Boriani, G.; Palmisano, P.; Malavasi, V.L.; Fantecchi, E.; Vitolo, M.; Bonini, N.; Imberti, J.F.; Valenti, A.C.; Schnabel, R.B.; Freedman, B. Clinical Factors Associated with Atrial Fibrilla-tion Detection on Single-Time Point Screening Using a Hand-Held Single-Lead ECG Device. J. Clin. Med. 2021, 10, 729. [Google Scholar] [CrossRef] [PubMed]
  9. Svennberg, E.; Tjong, F.; Goette, A.; Akoum, N.; Di Biase, L.; Bordachar, P.; Boriani, G.; Burri, H.; Conte, G.; Deharo, J.C.; et al. How to use digital devices to detect and manage arrhythmias: An EHRA practical guide. EP Eur. 2022, 24, 979–1005. [Google Scholar] [CrossRef]
  10. Bonini, N.; Vitolo, M.; Imberti, J.F.; Proietti, M.; Romiti, G.F.; Boriani, G.; Johnsen, S.P.; Guo, Y.; Lip, G.Y. Mobile health technology in atrial fibrillation. Expert Rev. Med. Devices 2022, 19, 327–340. [Google Scholar] [CrossRef]
  11. Brandes, A.; Stavrakis, S.; Freedman, B.; Antoniou, S.; Boriani, G.; Camm, A.J.; Chow, C.K.; Ding, E.; Engdahl, J.; Gibson, M.M.; et al. Consumer-Led Screening for Atrial Fibrillation: Frontier Review of the AF-SCREEN International Collaboration. Circulation 2022, 146, 1461–1474. [Google Scholar] [CrossRef]
  12. Boriani, G.; Maisano, A.; Bonini, N.; Albini, A.; Imberti, J.F.; Venturelli, A.; Menozzi, M.; Ziveri, V.; Morgante, V.; Camaioni, G.; et al. Digital literacy as a potential barrier to implemen-tation of cardiology tele-visits after COVID-19 pandemic: The INFO-COVID survey. J. Geriatr. Cardiol. 2021, 18, 739–747. [Google Scholar] [CrossRef]
  13. Boriani, G.; Svennberg, E.; Guerra, F.; Linz, D.; Casado-Arroyo, R.; Malaczynska-Rajpold, K.; Duncker, D.; Boveda, S.; Merino, J.L.; Leclercq, C. Reimbursement practices for use of digital devices in atrial fibrillation and other arrhythmias: A European Heart Rhythm Association survey. EP Eur. 2022, 24, 1834–1843. [Google Scholar] [CrossRef]
  14. Hindricks, G.; Potpara, T.; Dagres, N.; Arbelo, E.; Bax, J.J.; Blomström-Lundqvist, C.; Boriani, G.; Castella, M.; Dan, G.A.; Dilaveris, P.E.; et al. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur. Heart J. 2021, 42, 373–498. [Google Scholar] [CrossRef]
  15. Imberti, J.F.; Mei, D.A.; Vitolo, M.; Bonini, N.; Proietti, M.; Potpara, T.; Lip, G.Y.; Boriani, G. Comparing atrial fibrillation guidelines: Focus on stroke prevention, bleeding risk assessment and oral anticoagulant recommendations. Eur. J. Intern. Med. 2022, 101, 1–7. [Google Scholar] [CrossRef]
  16. Proietti, M.; Lip, G.Y.H.; Laroche, C.; Fauchier, L.; Marin, F.; Nabauer, M.; Potpara, T.; Dan, G.A.; Kalarus, Z.; Tavazzi, L.; et al. Relation of outcomes to ABC (Atrial Fibrillation Bet-ter Care) pathway adherent care in European patients with atrial fibrillation: An analysis from the ESC-EHRA EORP Atrial Fibrillation General Long-Term (AFGen LT) Registry. Europace 2021, 23, 174–183. [Google Scholar] [CrossRef]
  17. Ding, W.Y.; Proietti, M.; Romiti, G.F.; Vitolo, M.; Fawzy, A.M.; Boriani, G.; Marin, F.; Blomström-Lundqvist, C.; Potpara, T.S.; Fauchier, L.; et al. Impact of ABC (Atrial Fibrillation Better Care) path-way adherence in high-risk subgroups with atrial fibrillation: A report from the ESC-EHRA EORP-AF long-term general reg-istry. Eur. J. Intern. Med. 2023, 107, 60–65. [Google Scholar] [CrossRef]
  18. Romiti, G.F.; Pastori, D.; Rivera-Caravaca, J.M.; Ding, W.Y.; Gue, Y.X.; Menichelli, D.; Gumprecht, J.; Kozieł, M.; Yang, P.S.; Guo, Y.; et al. Adherence to the ‘Atrial Fibrillation Better Care’ Pathway in Patients with Atrial Fibrillation: Impact on Clinical Outcomes-A Systematic Review and Meta-Analysis of 285,000 Patients. Thromb Haemost. 2022, 122, 406–414. [Google Scholar] [CrossRef]
  19. Romiti, G.F.; Proietti, M.; Vitolo, M.; Bonini, N.; Fawzy, A.M.; Ding, W.Y.; Fauchier, L.; Marin, F.; Nabauer, M.; Dan, G.A.; et al. Clinical complexity and impact of the ABC (Atrial fi-brillation Better Care) pathway in patients with atrial fibrillation: A report from the ESC-EHRA EURObservational Research Programme in AF General Long-Term Registry. BMC Med. 2022, 20, 326. [Google Scholar] [CrossRef]
  20. Vitolo, M.; Proietti, M.; Malavasi, V.L.; Bonini, N.; Romiti, G.F.; Imberti, J.F.; Fauchier, L.; Marin, F.; Nabauer, M.; Potpara, T.S.; et al. Adherence to the “Atrial fibrillation Better Care” (ABC) pathway in patients with atrial fibrillation and cancer: A report from the ESC-EHRA EURObservational Research Programme in atrial fibrillation (EORP-AF) General Long-Term Registry. Eur. J. Intern. Med. 2022, 105, 54–62. [Google Scholar] [CrossRef]
  21. Potpara, T.S.; Lip, G.Y.H.; Blomstrom-Lundqvist, C.; Boriani, G.; Van Gelder, I.C.; Heidbuchel, H.; Hindricks, G.; Camm, A.J. The 4S-AF Scheme (Stroke Risk; Symptoms; Severity of Burden; Substrate): A Novel Approach to In-Depth Characterization (Rather than Classification) of Atrial Fibrillation. Thromb. Haemost. 2020, 121, 270–278. [Google Scholar] [CrossRef] [PubMed]
  22. Malavasi, V.L.; Vitolo, M.; Colella, J.; Montagnolo, F.; Mantovani, M.; Proietti, M.; Potpara, T.S.; Lip, G.Y.H.; Boriani, G. Rhythm- or rate-control strategies according to 4S-AF characterization scheme and long-term outcomes in atrial fibrillation patients: The FAMo (Fibrillazione Atriale in Modena) cohort. Intern. Emerg. Med. 2021, 17, 1001–1012. [Google Scholar] [CrossRef] [PubMed]
  23. Camm, A.J.; Naccarelli, G.V.; Mittal, S.; Crijns, H.J.G.M.; Hohnloser, S.H.; Ma, C.S.; Natale, A.; Turakhia, M.P.; Kirchhof, P. The Increasing Role of Rhythm Control in Patients With Atrial Fibrillation: JACC State-of-the-Art Review. J. Am. Coll. Cardiol. 2022, 79, 1932–1948. [Google Scholar] [CrossRef] [PubMed]
  24. Boriani, G.; Biagini, E.; Ziacchi, M.; Malavasi, V.L.; Vitolo, M.; Talarico, M.; Mauro, E.; Gorlato, G.; Lattanzi, G. Cardiolaminopathies from bench to bedside: Challenges in clinical decision-making with focus on arrhythmia-related outcomes. Nucleus 2018, 9, 442–459. [Google Scholar] [CrossRef] [PubMed]
  25. Boriani, G.; Vitolo, M.; Imberti, J.F. Atrial cardiomyopathy: A derangement in atrial volumes, geometry, function, and pathology with important clinical implications. J. Cardiovasc. Med. 2022, 23, 359–362. [Google Scholar] [CrossRef]
  26. Vitolo, M.; Imberti, J.F.; Proietti, M.; Lip, G.Y.; Boriani, G. Atrial high rate episodes as a marker of atrial cardiomyopathy: In the quest of the Holy Grail. Author’s reply. Eur. J. Intern. Med. 2022, 98, 115–116. [Google Scholar] [CrossRef]
  27. Zang, L.; Gu, K.; Ji, X.; Zhang, H.; Yan, S.; Wu, X. Effect of Anisotropic Electrical Conductivity Induced by Fiber Orientation on Ablation Characteristics of Pulsed Field Ablation in Atrial Fibrillation Treatment: A Computational Study. J. Cardiovasc. Dev. Dis. 2022, 9, 319. [Google Scholar] [CrossRef]
  28. Baena-Montes, J.M.; O’Halloran, T.; Clarke, C.; Donaghey, K.; Dunne, E.; O’Halloran, M.; Quinlan, L.R. Electroporation Parameters for Human Cardiomyocyte Ablation In Vitro. J. Cardiovasc. Dev. Dis. 2022, 9, 240. [Google Scholar] [CrossRef]
  29. Ji, X.; Zhang, H.; Zang, L.; Yan, S.; Wu, X. The Effect of Discharge Mode on the Distribution of Myocardial Pulsed Electric Field—A Simulation Study for Pulsed Field Ablation of Atrial Fibrillation. J. Cardiovasc. Dev. Dis. 2022, 9, 95. [Google Scholar] [CrossRef]
  30. Di Monaco, A.; Vitulano, N.; Troisi, F.; Quadrini, F.; Romanazzi, I.; Calvi, V.; Grimaldi, M. Pulsed Field Ablation to Treat Atrial Fibrillation: A Review of the Literature. J. Cardiovasc. Dev. Dis. 2022, 9, 94. [Google Scholar] [CrossRef]
  31. Gue, Y.X.; Bisson, A.; Bodin, A.; Herbert, J.; Lip, G.Y.H.; Fauchier, L. Season of Birth and Cardiovascular Mortality in Atrial Fibrilla-tion: A Population-Based Cohort Study. J. Cardiovasc. Dev. Dis. 2021, 8, 177. [Google Scholar] [CrossRef]
  32. Graziano, F.; Juhasz, V.; Brunetti, G.; Cipriani, A.; Szabo, L.; Merkely, B.; Corrado, D.; D’Ascenzi, F.; Vago, H.; Zorzi, A. May Strenuous Endurance Sports Activity Damage the Cardiovascular System of Healthy Athletes? A Narrative Review. J. Cardiovasc. Dev. Dis. 2022, 9, 347. [Google Scholar] [CrossRef]
  33. 33. Chudzińska, M.; Wołowiec, Ł.; Banach, J.; Rogowicz, D.; Grześk, G. Alcohol and Cardiovascular Diseases-Do the Consumption Pattern and Dose Make the Difference? J. Cardiovasc. Dev. Dis. 2022, 9, 317. [Google Scholar] [CrossRef]
  34. Rivaud, M.; Blok, M.; Jongbloed, M.; Boukens, B. How Cardiac Embryology Translates into Clinical Arrhythmias. J. Cardiovasc. Dev. Dis. 2021, 8, 70. [Google Scholar] [CrossRef]
  35. Gauvrit, S.; Bossaer, J.; Lee, J.; Collins, M.M. Modeling Human Cardiac Arrhythmias: Insights from Zebrafish. J. Cardiovasc. Dev. Dis. 2022, 9, 13. [Google Scholar] [CrossRef]
  36. Krishnan, A.; Sharma, H.; Yuan, D.; Trollope, A.F.; Chilton, L. The Role of Epicardial Adipose Tissue in the Development of Atrial Fibrillation, Coronary Artery Disease and Chronic Heart Failure in the Context of Obesity and Type 2 Diabetes Mellitus: A Narrative Review. J. Cardiovasc. Dev. Dis. 2022, 9, 217. [Google Scholar] [CrossRef]
  37. Yan, T.; Zhu, S.; Xie, C.; Zhu, M.; Weng, F.; Wang, C.; Guo, C. Coronary Artery Disease and Atrial Fibrillation: A Bidirectional Mendelian Randomization Study. J. Cardiovasc. Dev. Dis. 2022, 9, 69. [Google Scholar] [CrossRef]
  38. Cheng, Y.-Y.; Tan, S.; Hong, C.-T.; Yang, C.-C.; Chan, L. Left Atrial Appendage Thrombosis and Oral Anticoagulants: A Meta-Analysis of Risk and Treatment Response. J. Cardiovasc. Dev. Dis. 2022, 9, 351. [Google Scholar] [CrossRef]
  39. Boriani, G.; Imberti, J.F.; Vitolo, M. Anticoagulation to prevent ischaemic stroke in patients with atrial fibrillation: A complex scenario including underdiagnosis, undertreatment, or underdosing of oral anticoagulants. Eur. Hear. J.-Qual. Care Clin. Outcomes 2020, 6, 95–97. [Google Scholar] [CrossRef]
  40. Chen, S.; Chun, K.; Ling, Z.; Liu, S.; Zhu, L.; Wang, J.; Schratter, A.; Acou, W.-J.; Kiuchi, M.; Yin, Y.; et al. Comparison of Left Atrial Appendage Occlusion versus Non-Vitamin-K Antagonist Oral Anticoagulation in High-Risk Atrial Fibrillation: An Update. J. Cardiovasc. Dev. Dis. 2021, 8, 69. [Google Scholar] [CrossRef]
  41. Cepas-Guillen, P.L.; Flores-Umanzor, E.; Regueiro, A.; Brugaletta, S.; Ibañez, C.; Sanchis, L.; Sitges, M.; Rodés-Cabau, J.; Sabaté, M.; Freixa, X. Low Dose of Direct Oral Anticoagulants after Left Atrial Appendage Occlusion. J. Cardiovasc. Dev. Dis. 2021, 8, 142. [Google Scholar] [CrossRef] [PubMed]
  42. Masarone, D.; Martucci, M.L.; Errigo, V.; Pacileo, G. The Use of β-Blockers in Heart Failure with Reduced Ejection Fraction. J. Cardiovasc. Dev. Dis. 2021, 8, 101. [Google Scholar] [CrossRef] [PubMed]
  43. Karamichalakis, N.; Kolovos, V.; Paraskevaidis, I.; Tsougos, E. A New Hope: Sodium-Glucose Cotransporter-2 Inhibition to Prevent Atrial Fibrillation. J. Cardiovasc. Dev. Dis. 2022, 9, 236. [Google Scholar] [CrossRef] [PubMed]
  44. Imberti, J.F.; Ding, W.Y.; Kotalczyk, A.; Zhang, J.; Boriani, G.; Lip, G.; Andrade, J.; Gupta, D. Catheter ablation as first-line treatment for paroxysmal atrial fibrillation: A systematic review and meta-analysis. Heart 2021, 107, 1630–1636. [Google Scholar] [CrossRef]
  45. Loh, P.; van Es, R.; Groen, M.H.A.; Neven, K.; Kassenberg, W.; Wittkampf, F.H.M.; Doevendans, P.A. Pulmonary Vein Isolation with Single Pulse Irreversible Electroporation: A First in Human Study in 10 Patients with Atrial Fibrillation. Circ. Arrhythm. Electrophysiol. 2020, 13, e008192. [Google Scholar] [CrossRef]
  46. Guenancia, C.; Hammache, N.; Docq, C.; Benali, K.; Hooks, D.; Echivard, M.; Pace, N.; Magnin-Poull, I.; de Chillou, C.; Sellal, J.-M. Efficacy and Safety of Second and Third-Generation Laser Balloon for Paroxysmal Atrial Fibrillation Ablation Compared to Radiofrequency Ablation: A Matched-Cohort. J. Cardiovasc. Dev. Dis. 2021, 8, 183. [Google Scholar] [CrossRef]
  47. Seidl, S.; Mülleder, T.; Kaiblinger, J.; Sieghartsleitner, S.; Alibegovic-Zaborsky, J.; Sigmund, E.; Derndorfer, M.; Kollias, G.; Pürerfellner, H.; Martinek, M. Very High-Power Short-Duration (HPSD) Ablation for Pulmonary Vein Isolation: Short and Long-Term Outcome Data. J. Cardiovasc. Dev. Dis. 2022, 9, 278. [Google Scholar] [CrossRef]
  48. Fu, G.; He, B.; Wang, B.; Feng, M.; Du, X.; Liu, J.; Yu, Y.; Gao, F.; Zhuo, W.; Xu, Y.; et al. Unipolar Electrogram-Guided versus Lesion Size Index-Guided Catheter Ablation in Patients with Paroxysmal Atrial Fibrillation. J. Cardiovasc. Dev. Dis. 2022, 9, 229. [Google Scholar] [CrossRef]
  49. Moltrasio, M.; Iacopino, S.; Arena, G.; Pieragnoli, P.; Molon, G.; Manfrin, M.; Verlato, R.; Ottaviano, L.; Rovaris, G.; Catanzariti, D.; et al. First-line therapy: Insights from a real-world analysis of cryoablation in patients with atrial fibrillation. J. Cardiovasc. Med. 2021, 22, 618–623. [Google Scholar] [CrossRef]
  50. Friedman, D.J.; Holmes, D.; Curtis, A.B.; Ellenbogen, K.A.; Frankel, D.S.; Knight, B.P.; Russo, A.M.; Matsouaka, R.; Turakhia, M.P.; Lewis, W.R.; et al. Procedure characteristics and outcomes of atrial fibrillation ablation procedures using cryoballoon versus radiofrequency ablation: A report from the GWTG-AFIB regis-try. J. Cardiovasc. Electrophysiol. 2021, 32, 248–259. [Google Scholar] [CrossRef]
  51. Matta, M.; Anselmino, M.; Scaglione, M.; Vitolo, M.; Ferraris, F.; Di Donna, P.; Caponi, D.; Castagno, D.; Gaita, F. Cooling dynamics: A new predictor of long-term efficacy of atrioventricular nodal reentrant tachycardia cryoablation. J. Interv. Card. Electrophysiol. 2016, 48, 333–341. [Google Scholar] [CrossRef]
  52. Andrade, J.G.; Champagne, J.; Dubuc, M.; Deyell, M.W.; Verma, A.; Macle, L.; Leong-Sit, P.; Novak, P.; Badra-Verdu, M.; Sapp, J.; et al. Cryoballoon or Radiofrequency Ablation for Atrial Fibrillation Assessed by Continuous Monitoring: A Randomized Clinical Trial. Circulation 2019, 140, 1779–1788. [Google Scholar] [CrossRef]
  53. Shi, L.; Rossvoll, O.; Tande, P.; Schuster, P.; Solheim, E.; Chen, J. Cryoballoon versus radiofrequency catheter ablation: Insights from Norwegian randomized study of persistent atrial fibrillation (NO-PERSAF study). EP Eur. 2022, 24. [Google Scholar] [CrossRef]
  54. Guckel, D.; Lucas, P.; Isgandarova, K.; El Hamriti, M.; Bergau, L.; Fink, T.; Sciacca, V.; Imnadze, G.; Braun, M.; Khalaph, M.; et al. News from the Cold Chamber: Clinical Experiences of POLARx versus Arctic Front Advance for Single-Shot Pulmonary Vein Isolation. J. Cardiovasc. Dev. Dis. 2022, 9, 16. [Google Scholar] [CrossRef]
  55. Li, X.; Bao, Y.; Jia, K.; Zhang, N.; Lin, C.; Wei, Y.; Xie, Y.; Luo, Q.; Ling, T.; Chen, K.; et al. Comparison of the Mid-Term Outcomes of Robotic Magnetic Navigation-Guided Radiofrequency Ablation versus Cryoballoon Ablation for Persistent Atrial Fibrillation. J. Cardiovasc. Dev. Dis. 2022, 9, 88. [Google Scholar] [CrossRef]
  56. Magni, F.T.; Mulder, B.A.; Groenveld, H.F.; Wiesfeld, A.C.P.; Tieleman, R.G.; Cox, M.G.; Van Gelder, I.C.; Smilde, T.; Tan, E.S.; Rienstra, M.; et al. Initial experience with pulsed field abla-tion for atrial fibrillation. Front Cardiovasc. Med. 2022, 9, 959186. [Google Scholar] [CrossRef]
  57. Marini, M.; Pannone, L.; Della Rocca, D.G.; Branzoli, S.; Bisignani, A.; Mouram, S.; Del Monte, A.; Monaco, C.; Gauthey, A.; Eltsov, I.; et al. Hybrid Ablation of Atrial Fibrillation: A Contemporary Overview. J. Cardiovasc. Dev. Dis. 2022, 9, 302. [Google Scholar] [CrossRef]
  58. Chen, J.; Mei, Z.; Yang, Y.; Dai, C.; Wang, Y.; Zeng, R.; Liu, Q. Epicardial adipose tissue is associated with higher recurrence risk after catheter ablation in atrial fibrillation patients: A systematic review and meta-analysis. BMC Cardiovasc. Disord. 2022, 22, 1–10. [Google Scholar] [CrossRef]
  59. Lin, C.; Bao, Y.; Xie, Y.; Wei, Y.; Luo, Q.; Ling, T.; Jin, Q.; Pan, W.; Xie, Y.; Wu, L.; et al. Prognostic Implications of Left Atrial Spontaneous Echo Contrast with Catheter Ablation of Nonvalvular Atrial Fibrillation Patients with Left Atrial Dilation. J. Cardiovasc. Dev. Dis. 2022, 9, 306. [Google Scholar] [CrossRef]
  60. Boriani, G.; Iacopino, S.; Arena, G.; Pieragnoli, P.; Verlato, R.; Manfrin, M.; Molon, G.; Rovaris, G.; Curnis, A.; Perego, G.B.; et al. Chronic Kidney Disease with Mild and Mild to Moderate Reduction in Renal Function and Long-Term Recurrences of Atrial Fibrillation after Pulmonary Vein Cryoballoon Ablation. J. Cardiovasc. Dev. Dis. 2022, 9, 126. [Google Scholar] [CrossRef]
  61. Wolfes, J.; Hoppe, D.; Ellermann, C.; Willy, K.; Rath, B.; Leitz, P.; Güner, F.; Köbe, J.; Lange, P.S.; Eckardt, L.; et al. Pulmonary Vein Isolation in Obese Compared to Non-Obese Patients: Real-Life Experience from a Large Tertiary Center. J. Cardiovasc. Dev. Dis. 2022, 9, 275. [Google Scholar] [CrossRef] [PubMed]
  62. Giannone, M.E.; Filippini, T.; Whelton, P.K.; Chiari, A.; Vitolo, M.; Boriani, G.; Vinceti, M. Atrial Fibrillation and the Risk of Early-Onset Dementia: A Systematic Review and Meta-Analysis. J. Am. Hear. Assoc. 2022, 11. [Google Scholar] [CrossRef] [PubMed]
  63. Saglietto, A.; Ballatore, A.; Xhakupi, H.; De Ferrari, G.M.; Anselmino, M. Association of Catheter Ablation and Reduced Incidence of Dementia among Patients with Atrial Fibrillation during Long-Term Follow-Up: A Systematic Review and Meta-Analysis of Observational Studies. J. Cardiovasc. Dev. Dis. 2022, 9, 140. [Google Scholar] [CrossRef] [PubMed]
  64. Leitz, P.; Wasmer, K.; Andresen, C.; Güner, F.; Köbe, J.; Rath, B.; Reinke, F.; Wolfes, J.; Lange, P.S.; Ellermann, C.; et al. The Incidence, Electrophysiological Characteristics and Ablation Outcome of Left Atrial Tachycardias after Pulmonary Vein Isolation Using Three Different Ablation Technologies. J. Cardiovasc. Dev. Dis. 2022, 9, 50. [Google Scholar] [CrossRef]
  65. Wang, H.; Xi, S.; Chen, J.; Gan, T.; Huang, W.; He, B.; Zhao, L. Left Atrial Anterior Wall Scar-Related Atrial Tachycardia in Patients after Catheter Ablation or Cardiac Surgery: Electrophysiological Characteristics and Ablation Strategy. J. Cardiovasc. Dev. Dis. 2022, 9, 249. [Google Scholar] [CrossRef]
  66. Albini, A.; Malavasi, V.L.; Vitolo, M.; Imberti, J.F.; Marietta, M.; Lip, G.Y.H.; Boriani, G. Long-term outcomes of postoperative atrial fibrilla-tion following non cardiac surgery: A systematic review and metanalysis. Eur. J. Intern. Med. 2021, 85, 27–33. [Google Scholar] [CrossRef]
  67. Maisano, A.; Vitolo, M.; Imberti, J.F.; Bonini, N.; Albini, A.; Valenti, A.C.; Sgreccia, D.; Mantovani, M.; Malavasi, V.L.; Boriani, G. Atrial Fibrillation in the Setting of Acute Pneumonia: Not a Secondary Arrhythmia. Rev. Cardiovasc. Med. 2022, 23, 176. [Google Scholar] [CrossRef]
  68. Marazzato, J.; Masnaghetti, S.; De Ponti, R.; Verdecchia, P.; Blasi, F.; Ferrarese, S.; Trapasso, M.; Spanevello, A.; Angeli, F. Long-Term Survival in Patients with Post-Operative Atrial Fibrillation after Cardiac Surgery: Analysis from a Prospective Cohort Study. J. Cardiovasc. Dev. Dis. 2021, 8, 169. [Google Scholar] [CrossRef]
  69. Nomani, H.; Mohammadpour, A.H.; Reiner, Ž.; Jamialahmadi, T.; Sahebkar, A. Statin Therapy in Post-Operative Atrial Fibrillation: Focus on the Anti-Inflammatory Effects. J. Cardiovasc. Dev. Dis. 2021, 8, 24. [Google Scholar] [CrossRef]
  70. Shvartz, V.; Le, T.; Enginoev, S.; Sokolskaya, M.; Ispiryan, A.; Shvartz, E.; Nudel, D.; Araslanova, N.; Petrosyan, A.; Donakanyan, S.; et al. Colchicine in Cardiac Surgery: The COCS Randomized Clinical Trial. J. Cardiovasc. Dev. Dis. 2022, 9, 363. [Google Scholar] [CrossRef]
  71. Lancini, D.; Tan, W.L.; Guppy-Coles, K.; Boots, R.; Prasad, S.; Atherton, J.; Martin, P. Critical illness associated new onset atrial fibrillation: Subsequent atrial fibrillation diagnoses and other adverse outcomes. EP Eur. 2022. [Google Scholar] [CrossRef]
  72. Wang, J.; Chen, Z.; Yang, H.; Li, H.; Chen, R.; Yu, J. Relationship between the Hemoglobin-to-Red Cell Distribution Width Ratio and All-Cause Mortality in Septic Patients with Atrial Fibrillation: Based on Propensity Score Matching Method. J. Cardiovasc. Dev. Dis. 2022, 9, 400. [Google Scholar] [CrossRef]
  73. Malavasi, V.L.; Proietti, M.; Spagni, S.; Valenti, A.C.; Battista, A.; Pettorelli, D.; Colella, J.; Vitolo, M.; Lip, G.Y.; Boriani, G. Usefulness of Red Cells Distribution Width to Predict Worse Outcomes in Patients With Atrial Fibrillation. Am. J. Cardiol. 2019, 124, 1561–1567. [Google Scholar] [CrossRef]
  74. Valenti, A.C.; Vitolo, M.; Imberti, J.F.; Malavasi, V.L.; Boriani, G. Red Cell Distribution Width: A Routinely Available Biomarker with Important Clinical Implications in Patients with Atrial Fibrillation. Curr. Pharm. Des. 2021, 27, 3901–3912. [Google Scholar] [CrossRef]
  75. Kułach, A.; Dewerenda, M.; Majewski, M.; Lasek-Bal, A.; Gąsior, Z. Supraventricular Runs in 7-Day Holter Monitoring Are Related to Increased Incidence of Atrial Fibrillation in a 3-Year Follow-Up of Cryptogenic Stroke Patients Free from Arrhythmia in a 24 h-Holter. J. Cardiovasc. Dev. Dis. 2021, 8, 81. [Google Scholar] [CrossRef]
  76. Omar, A.M.S.; Rahman, M.A.A.; Rifaie, O.; Bella, J.N. Atrial Fibrillation in Heart Failure with Preserved Left Ventricular Systolic Function: Distinct Elevated Risk for Cardiovascular Outcomes in Women Compared to Men. J. Cardiovasc. Dev. Dis. 2022, 9, 417. [Google Scholar] [CrossRef]
  77. Marazzato, J.; Blasi, F.; Golino, M.; Verdecchia, P.; Angeli, F.; De Ponti, R. Hypertension and Arrhythmias: A Clinical Overview of the Pathophysiology-Driven Management of Cardiac Arrhythmias in Hypertensive Patients. J. Cardiovasc. Dev. Dis. 2022, 9, 110. [Google Scholar] [CrossRef]
  78. Proietti, M.; Vitolo, M.; Harrison, S.L.; Lane, D.A.; Fauchier, L.; Marin, F.; Nabauer, M.; Potpara, T.S.; Dan, G.-A.; Boriani, G.; et al. Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: A report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry. BMC Med. 2021, 19, 1–17. [Google Scholar] [CrossRef]
  79. Vitolo, M.; Proietti, M.; Harrison, S.; Lane, D.A.; Potpara, T.S.; Boriani, G.; Lip, G.Y.H. The Euro Heart Survey and EURObservational Re-search Programme (EORP) in atrial fibrillation registries: Contribution to epidemiology, clinical management and therapy of atrial fibrillation patients over the last 20 years. Intern. Emerg. Med. 2020, 15, 1183–1192. [Google Scholar] [CrossRef]
  80. Malavasi, V.L.; Fantecchi, E.; Tordoni, V.; Melara, L.; Barbieri, A.; Vitolo, M.; Lip, G.Y.H.; Boriani, G. Atrial fibrillation pattern and factors affecting the progression to permanent atrial fibrillation. Intern. Emerg. Med. 2020, 16, 1131–1140. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Boriani, G.; Bonini, N.; Imberti, J.F.; Vitolo, M. New Perspectives on Risk Stratification and Treatment in Patients with Atrial Fibrillation: An Analysis of Recent Contributions on the Journal of Cardiovascular Disease and Development. J. Cardiovasc. Dev. Dis. 2023, 10, 61. https://doi.org/10.3390/jcdd10020061

AMA Style

Boriani G, Bonini N, Imberti JF, Vitolo M. New Perspectives on Risk Stratification and Treatment in Patients with Atrial Fibrillation: An Analysis of Recent Contributions on the Journal of Cardiovascular Disease and Development. Journal of Cardiovascular Development and Disease. 2023; 10(2):61. https://doi.org/10.3390/jcdd10020061

Chicago/Turabian Style

Boriani, Giuseppe, Niccolò Bonini, Jacopo Francesco Imberti, and Marco Vitolo. 2023. "New Perspectives on Risk Stratification and Treatment in Patients with Atrial Fibrillation: An Analysis of Recent Contributions on the Journal of Cardiovascular Disease and Development" Journal of Cardiovascular Development and Disease 10, no. 2: 61. https://doi.org/10.3390/jcdd10020061

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