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Sinigiani G, De Michieli L, Porcari A, Zocchi C, Sorella A, Mazzoni C, Bisaccia G, De Luca A, Di Bella G, Gregori D, Perfetto F, Merlo M, Sinagra G, Iliceto S, Perazzolo Marra M, Corrado D, Ricci F, Cappelli F, Cipriani A. Atrial electrofunctional predictors of incident atrial fibrillation in cardiac amyloidosis. Heart Rhythm 2024:S1547-5271(24)00110-3. [PMID: 38309449 DOI: 10.1016/j.hrthm.2024.01.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/12/2024] [Accepted: 01/29/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND Atrial fibrillation (AF) is common in patients with cardiac amyloidosis (CA) and is a significant risk factor for heart failure hospitalization and thromboembolic events. OBJECTIVE This study was designed to investigate the atrial electrofunctional predictors of incident AF in CA. METHODS A multicenter, observational study was conducted in 4 CA referral centers including sinus rhythm patients with light-chain (AL) and transthyretin (ATTR) CA undergoing electrocardiography and cardiac magnetic resonance imaging. The primary end point was new-onset AF occurrence. RESULTS Overall, 96 patients (AL-CA, n = 40; ATTR-CA, n = 56) were enrolled. During an 18-month median follow-up (Q1-Q3, 7-29 months), 30 patients (29%) had incident AF. Compared with those without AF, patients with AF were older (79 vs 73 years; P = .001). They more frequently had ATTR (87% vs 45%; P < .001); electrocardiographic interatrial block (IAB), either partial (47% vs 21%; P = .011) or advanced (17% vs 3%; P = .017); and lower left atrial ejection fraction (LAEF; 29% vs 41%; P = .004). Age (hazard ratio [HR], 1.059; 95% CI, 1.002-1.118; P = .042), any type of IAB (HR, 2.211; 95% CI, 1.03-4.75; P = .041), and LAEF (HR, 0.967; 95% CI, 0.936-0.998; P = .044) emerged as independent predictors of incident AF. Patients exhibiting any type of IAB, LAEF <40%, and age >78 years showed a cumulative incidence for AF of 40% at 12 months. This risk was significantly higher than that carried by 1 (8.5%) or none (7.6%) of these 3 risk factors. CONCLUSION In patients with CA, older age, IAB on 12-lead electrocardiography, and reduced LAEF on cardiac magnetic resonance imaging are significant and independent predictors of incident AF. A closer screening for AF is advisable in CA patients carrying these features.
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Affiliation(s)
- Giulio Sinigiani
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Laura De Michieli
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Aldostefano Porcari
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Chiara Zocchi
- Tuscan Regional Amyloidosis Centre, Careggi University Hospital, Florence, Italy
| | - Anna Sorella
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Carlotta Mazzoni
- Tuscan Regional Amyloidosis Centre, Careggi University Hospital, Florence, Italy
| | - Giandomenico Bisaccia
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Antonio De Luca
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Gianluca Di Bella
- Rare Cardiac Disease Center, Cardiology Unit, University of Messina, Messina, Italy
| | - Dario Gregori
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Federico Perfetto
- Tuscan Regional Amyloidosis Centre, Careggi University Hospital, Florence, Italy
| | - Marco Merlo
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Gianfranco Sinagra
- Center for Diagnosis and Treatment of Cardiomyopathies, Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano-Isontina (ASUGI), University of Trieste, Trieste, Italy
| | - Sabino Iliceto
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Martina Perazzolo Marra
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Domenico Corrado
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Francesco Cappelli
- Tuscan Regional Amyloidosis Centre, Careggi University Hospital, Florence, Italy
| | - Alberto Cipriani
- Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
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Bisaccia G, Ricci F, Khanji MY, Sorella A, Melchiorre E, Iannetti G, Galanti K, Mantini C, Pizzi AD, Tana C, Renda G, Fedorowski A, De Caterina R, Gallina S. Cardiovascular Morbidity and Mortality Related to Non-alcoholic Fatty Liver Disease: A Systematic Review and Meta-analysis. Curr Probl Cardiol 2023; 48:101643. [PMID: 36773944 DOI: 10.1016/j.cpcardiol.2023.101643] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 02/04/2023] [Indexed: 02/12/2023]
Abstract
Whether non-alcoholic fatty liver disease (NAFLD) is a cardiovascular (CV) risk factor is debated. We performed a systematic review and meta-analysis to assess the CV morbidity and mortality related to NAFLD in the general population, and to determine whether CV risk is comparable between lean and non-lean NAFLD phenotypes. We searched multiple databases, including PubMed, Embase, and the Cochrane Library, for observational studies published through 2022 that reported the risk of CV events and mortality. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) for all-cause mortality, CV mortality, myocardial infarction (MI), stroke, atrial fibrillation (AF), and major adverse cardiovascular and cerebrovascular events (MACCE) were assessed through random-effect meta-analysis. We identified 33 studies and a total study population of 10,592,851 individuals (mean age 53±8; male sex 50%; NAFLD 2, 9%). Mean follow-up was 10±6 years. Pooled ORs for all-cause and CV mortality were respectively 1.14 (95% CI, 0.78-1.67) and 1.13 (95% CI, 0.57-2.23), indicating no significant association between NAFLD and mortality. NAFLD was associated with increased risk of MI (OR 1.6; 95% CI, 1.5-1.7), stroke (OR: 1.6; 95% CI, 1.2-2.1), atrial fibrillation (OR: 1.7; 95% CI, 1.2-2.3), and MACCE (OR: 2.3; 95% CI, 1.3-4.2). Compared with non-lean NAFLD, lean NAFLD was associated with increased CV mortality (OR: 1.50; 95% CI, 1.1-2.0), but similar all-cause mortality and risk of MACCE. While NAFLD may not be a risk factor for total and CV mortality, it is associated with excess risk of non-fatal CV events. Lean and non-lean NAFLD phenotypes exhibit distinct prognostic profiles and should receive equitable clinical care.
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Affiliation(s)
- Giandomenico Bisaccia
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Fabrizio Ricci
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy; Department of Clinical Sciences, Lund University, Malmö, Sweden; Fondazione VillaSerena per la Ricerca, Città Sant'Angelo, Pescara, Italy.
| | - Mohammed Y Khanji
- Newham University Hospital, Barts Health NHS Trust, London; Barts Heart Centre, Barts Health NHS Trust, London; NIHR Barts Biomedical Research Centre, William Harvey Research Institute, Queen Mary University, London
| | - Anna Sorella
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Eugenia Melchiorre
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Giovanni Iannetti
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Kristian Galanti
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Cesare Mantini
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Andrea Delli Pizzi
- Department of Innovative Technologies in Medicine and Dentistry, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Claudio Tana
- Center of Excellence on Headache, Geriatrics and COVID-19 Clinic, SS Annunziata Hospital of Chieti, Chieti, Italy
| | - Giulia Renda
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Artur Fedorowski
- Department of Clinical Sciences, Lund University, Malmö, Sweden; Department of Cardiology, Karolinska University Hospital, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Raffaele De Caterina
- Fondazione VillaSerena per la Ricerca, Città Sant'Angelo, Pescara, Italy; Cardiology Division, Pisa University Hospital and University of Pisa, Pisa, Italy
| | - Sabina Gallina
- Department of Neuroscience, Imaging and Clinical Sciences, "G.d'Annunzio" University of Chieti-Pescara, Chieti, Italy
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