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Browsing by Author "Romiti, Giulio Francesco (56678539100)"

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    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
    (2022)
    Vitolo, Marco (57204323320)
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    Proietti, Marco (57202956034)
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    Malavasi, Vincenzo L. (6508266512)
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    Bonini, Niccolo’ (57203751290)
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    Romiti, Giulio Francesco (56678539100)
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    Imberti, Jacopo F. (57212103023)
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    Fauchier, Laurent (7005282545)
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    Marin, Francisco (57212539524)
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    Nabauer, Michael (7004310943)
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    Potpara, Tatjana S. (57216792589)
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    Dan, Gheorghe-Andrei (57222706010)
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    Kalarus, Zbigniew (56266442700)
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    Maggioni, Aldo Pietro (57203255222)
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    Lane, Deirdre A. (57203229915)
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    Lip, Gregory Y H (57216675273)
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    Boriani, Giuseppe (57675336900)
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    Tavazzi, L. (58091986000)
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    Marin, F. (59820237400)
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    Goda, A. (23049970100)
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    Mairesse, G. (7003921830)
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    Shalganov, T. (58558219800)
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    Antoniades, L. (6602084348)
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    Taborsky, M. (7004445570)
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    Riahi, S. (57739037000)
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    Muda, P. (6603274130)
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    Bolao, I. García (59037308600)
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    Piot, O. (7006174412)
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    Etsadashvili, K. (26026305500)
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    Simantirakis, E.N. (6603927258)
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    Haim, M. (7004459681)
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    Azhari, A. (56185098900)
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    Najafian, J. (14060714800)
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    Santini, M. (7103044873)
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    Mirrakhimov, E. (57216202888)
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    Kulzida, K. (57311698200)
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    Erglis, A. (6602259794)
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    Poposka, L. (23498648800)
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    Burg, M.R. (57205667025)
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    Crijns, H. (58302709000)
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    Erküner, Ö. (57191578368)
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    Atar, D. (7005111567)
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    Lenarczyk, R. (6603516741)
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    Oliveira, M. Martins (35509269800)
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    Shah, D. (7402371395)
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    Serdechnaya, E. (57188719922)
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    Diker, E. (59811913000)
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    Lane, D. (7403211608)
    Background: Implementation of the Atrial fibrillation Better Care (ABC) pathway is recommended by guidelines on atrial fibrillation (AF), but the impact of adherence to ABC pathway in patients with cancer is unknown. Objectives: To investigate the adherence to ABC pathway and its impact on adverse outcomes in AF patients with cancer. Methods: Patients enrolled in the EORP-AF General Long-Term Registry were analyzed according to (i) No Cancer; and (ii) Prior or active cancer and stratified in relation to adherence to the ABC pathway. The composite Net Clinical Outcome (NCO) of all-cause death, major adverse cardiovascular events and major bleeding was the primary endpoint. Results: Among 6550 patients (median age 69 years, females 40.1%), 6005 (91.7%) had no cancer, while 545 (8.3%) had a diagnosis of active or prior cancer at baseline, with the proportions of full adherence to ABC pathway of 30.6% and 25.7%, respectively. Adherence to the ABC pathway was associated with a significantly lower occurrence of the primary outcome vs. non-adherence, both in ‘no cancer’ and ‘cancer’ patients [adjusted Hazard Ratio (aHR) 0.78, 95% confidence interval (CI): 0.66–0.92 and aHR 0.59, 95% CI 0.37–0.96, respectively]. Adherence to a higher number of ABC criteria was associated with a lower risk of the primary outcome, being lowest when 3 ABC criteria were fulfilled (no cancer: aHR 0.54, 95%CI: 0.36–0.81; with cancer: aHR 0.32, 95% CI 0.13–0.78). Conclusion: In AF patients with cancer enrolled in the EORP-AF General Long-Term Registry, adherence to ABC pathway was sub-optimal. Full adherence to ABC-pathway was associated with a lower risk of adverse events © 2022
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    Asymptomatic vs. symptomatic atrial fibrillation: Clinical outcomes in heart failure patients
    (2024)
    Boriani, Giuseppe (57675336900)
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    Bonini, Niccolo’ (57203751290)
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    Vitolo, Marco (57204323320)
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    Mei, Davide A (57223301580)
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    Imberti, Jacopo F (57212103023)
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    Gerra, Luigi (57205138395)
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    Romiti, Giulio Francesco (56678539100)
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    Corica, Bernadette (57203868574)
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    Proietti, Marco (57202956034)
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    Diemberger, Igor (8070601200)
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    Dan, Gheorghe-Andrei (57222706010)
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    Potpara, Tatjana (57216792589)
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    Lip, Gregory YH (57216675273)
    Background: The outcome implications of asymptomatic vs. symptomatic atrial fibrillation (AF) in specific groups of patients according to clinical heart failure (HF) and left ventricular ejection fraction (LVEF) need to be clarified. Methods: In a prospective observational study, patients were categorized according to overt HF with LVEF≤40 %, or with LVEF>40 %, or without overt HF with LVEF40 %≤ or > 40 %, as well as according to the presence of asymptomatic or symptomatic AF. Results: A total of 8096 patients, divided into 8 groups according to HF and LVEF, were included with similar proportions of asymptomatic AF (ranging from 43 to 48 %). After a median follow-up of 730 [699 -748] days, the composite outcome (all-cause death and MACE) was significantly worse for patients with asymptomatic AF associated with HF and reduced LVEF vs. symptomatic AF patients of the same group (p = 0.004). On adjusted Cox regression analysis, asymptomatic AF patients with HF and reduced LVEF were independently associated with a higher risk for the composite outcome (aHR 1.32, 95 % CI 1.04-1.69) and all-cause death (aHR 1.33, 95 % CI 1.02-1.73) compared to symptomatic AF patients with HF and reduced LVEF. Kaplan-Meier curves showed that HF-LVEF≤40 % asymptomatic patients had the highest cumulative incidence of all-cause death and MACE (p < 0.001 for both). Conclusions: In a large European cohort of AF patients, the risk of the composite outcome at 2 years was not different between asymptomatic and symptomatic AF in the whole cohort but adverse implications for poor outcomes were found for asymptomatic AF in HF with LVEF≤40 %. © 2023 European Federation of Internal Medicine
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    Chronic kidney disease classification according to different formulas and impact on adverse outcomes in patients with atrial fibrillation: A report from a prospective observational European registry
    (2025)
    Boriani, Giuseppe (57675336900)
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    Mei, Davide Antonio (57223301580)
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    Bonini, Niccolò (57203751290)
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    Vitolo, Marco (57204323320)
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    Imberti, Jacopo Francesco (57212103023)
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    Romiti, Giulio Francesco (56678539100)
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    Corica, Bernadette (57203868574)
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    Diemberger, Igor (8070601200)
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    Dan, Gheorghe Andrei (6701679438)
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    Potpara, Tatjana (57216792589)
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    Proietti, Marco (57202956034)
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    Lip, Gregory Y.H. (57216675273)
    Background: Chronic kidney disease (CKD) and atrial fibrillation (AF) often coexist, making accurate renal function estimation crucial, typically through equations calculating estimated glomerular filtration rate (eGFR) or creatinine clearance (CrCl). Objective: To compare the concordance and predictive performance of different renal function estimation equations in a European cohort of AF patients. Methods: We analyzed data from AF patients enrolled in a prospective observational European registry. Renal function was estimated using eight formulas: BIS-1, CG, CG-BSA, CKD-EPI, EKFC, FAS, LMR and MDRD. Concordance between formulas was assessed using weighted Cohen's Kappa, while Cox regression and receiver operating characteristic (ROC) curves evaluated their association with outcomes (composite of all-cause death, any coronary revascularization and any thromboembolism). Results: We included 8,506 patients. CKD-EPI demonstrated good to excellent concordance with other formulas, with the lowest concordance with CG (K = 0.607; 95% CI, 0.595-0.618) and the highest with MDRD (K = 0.880; 95% CI, 0.873-0.887). The risk of adverse outcomes increased sharply when renal function dropped below 60 ml/min across all formulas. CG-BSA and CG formulas showed the best discriminative ability for predicting composite outcomes (AUC 0.660, 95% CI 0.644-0.677, and 0.661, 95% CI 0.644-0.678, respectively). Based on integrated discrimination improvement (IDI) analysis, compared to the CKD-EPI equation, the CG and CG-BSA formulas showed significant improvements in sensitivity of 0.9% and 1.1%, respectively Conclusion: Equations for estimating renal function vary in concordance, with potential implications for drug prescription and predicting adverse events. CG and CG-BSA formulas showed superior performance in identifying patients at risk for adverse outcomes. © 2025 The Authors
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    Clinical complexity and impact of the ABC (Atrial fibrillation Better Care) pathway in patients with atrial fibrillation: a report from the ESC-EHRA EURObservational Research Programme in AF General Long-Term Registry
    (2022)
    Romiti, Giulio Francesco (56678539100)
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    Proietti, Marco (57202956034)
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    Vitolo, Marco (57204323320)
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    Bonini, Niccolò (57203751290)
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    Fawzy, Ameenathul Mazaya (57204771086)
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    Ding, Wern Yew (56141931000)
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    Fauchier, Laurent (7005282545)
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    Marin, Francisco (57212539524)
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    Nabauer, Michael (7004310943)
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    Dan, Gheorghe Andrei (57222706010)
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    Potpara, Tatjana S. (57216792589)
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    Boriani, Giuseppe (57675336900)
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    Lip, Gregory Y. H. (57216675273)
    Background: Clinical complexity is increasingly prevalent among patients with atrial fibrillation (AF). The ‘Atrial fibrillation Better Care’ (ABC) pathway approach has been proposed to streamline a more holistic and integrated approach to AF care; however, there are limited data on its usefulness among clinically complex patients. We aim to determine the impact of ABC pathway in a contemporary cohort of clinically complex AF patients. Methods: From the ESC-EHRA EORP-AF General Long-Term Registry, we analysed clinically complex AF patients, defined as the presence of frailty, multimorbidity and/or polypharmacy. A K-medoids cluster analysis was performed to identify different groups of clinical complexity. The impact of an ABC-adherent approach on major outcomes was analysed through Cox-regression analyses and delay of event (DoE) analyses. Results: Among 9966 AF patients included, 8289 (83.1%) were clinically complex. Adherence to the ABC pathway in the clinically complex group reduced the risk of all-cause death (adjusted HR [aHR]: 0.72, 95%CI 0.58–0.91), major adverse cardiovascular events (MACEs; aHR: 0.68, 95%CI 0.52–0.87) and composite outcome (aHR: 0.70, 95%CI: 0.58–0.85). Adherence to the ABC pathway was associated with a significant reduction in the risk of death (aHR: 0.74, 95%CI 0.56–0.98) and composite outcome (aHR: 0.76, 95%CI 0.60–0.96) also in the high-complexity cluster; similar trends were observed for MACEs. In DoE analyses, an ABC-adherent approach resulted in significant gains in event-free survival for all the outcomes investigated in clinically complex patients. Based on absolute risk reduction at 1 year of follow-up, the number needed to treat for ABC pathway adherence was 24 for all-cause death, 31 for MACEs and 20 for the composite outcome. Conclusions: An ABC-adherent approach reduces the risk of major outcomes in clinically complex AF patients. Ensuring adherence to the ABC pathway is essential to improve clinical outcomes among clinically complex AF patients. © 2022, The Author(s).
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    Comparison of HAS-BLED and ORBIT bleeding risk scores in atrial fibrillation patients treated with non-vitamin K antagonist oral anticoagulants: A report from the ESC-EHRA EORP-AF General Long-Term Registry
    (2022)
    Proietti, Marco (57202956034)
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    Romiti, Giulio Francesco (56678539100)
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    Vitolo, Marco (57204323320)
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    Potpara, Tatjana S. (57216792589)
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    Boriani, Giuseppe (57675336900)
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    Lip, Gregory Y.H. (57216675273)
    Aims Bleeding risk assessment is recommended in guidelines for the management of atrial fibrillation (AF). The HAS-BLED score was proposed prior to non-vitamin K antagonist oral anticoagulants (NOACs) and it has been suggested that the ORBIT score may be superior in predicting bleeds in NOAC users. We aimed to compare the HAS-BLED and ORBIT scores in contemporary AF patients treated with NOACs. Methods and results We analysed patients enrolled in the ESC-EHRA EORP-AF (EURObservational Research Programme in AF) General Long-Term Registry. HAS-BLED and ORBIT scores were computed based on original schemes. The primary outcome was the occurrence of major bleeding (MB). A total of 3018 patients (median age 70; 39.6% females) were included: median [interquartile range (IQR)] HAS-BLED and ORBIT scores were 1 [1-2] and 1 [0-2], respectively; 356 (11.8%) patients were at high risk for MB using HAS-BLED (≥3) and 123 (4.1%) using ORBIT (≥4). Overall, 60 (2.0%) MB events were recorded, with an incidence of 1.1 per 100 patient-years. Both HAS-BLED and ORBIT were associated with outcome, modestly predicting MB [area under the curve (AUC) 0.653, 95% confidence interval (CI) 0.593-0.714 and AUC 0.601, 95% CI 0.526-0.677, respectively]. Calibration plots showed that both scores were poorly calibrated, particularly the ORBIT score, which showed consistent poorer calibration. Time-dependent reclassification analysis showed a trend towards incorrect lower risk reclassification using ORBIT compared with HAS-BLED. Conclusion In this real-life contemporary cohort of AF patients treated with NOACs, the ORBIT score did not provide reclassification improvement, showing even poorer calibration compared with HAS-BLED. Our findings do not support the preferential use of ORBIT in NOAC-treated AF patients. © The Author(s) 2021.
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    Epidemiology and impact of frailty in patients with atrial fibrillation in Europe
    (2022)
    Proietti, Marco (57202956034)
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    Romiti, Giulio Francesco (56678539100)
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    Vitolo, Marco (57204323320)
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    Harrison, Stephanie L. (57191626227)
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    Lane, Deirdre A. (57203229915)
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    Fauchier, Laurent (7005282545)
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    Marin, Francisco (57212539524)
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    Näbauer, Michael (7004310943)
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    Potpara, Tatjana S. (57216792589)
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    Dan, Gheorghe-Andrei (57222706010)
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    Maggioni, Aldo P. (57203255222)
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    Cesari, Matteo (7005590063)
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    Boriani, Giuseppe (57675336900)
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    Lip, Gregory Y.H. (57216675273)
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    Zëra, E. (57793670100)
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    Ekmekçiu, U. (57195326633)
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    Paparisto, V. (57115549700)
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    Tase, M. (6508233485)
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    Gjergo, H. (57195321834)
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    Dragoti, J. (57312364900)
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    Goda, A. (23049970100)
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    Ciutea, M. (57498192400)
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    Ahadi, N. (57218900324)
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    El Husseini, Z. (58242206700)
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    Raepers, M. (6505449716)
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    Leroy, J. (57204250098)
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    Haushan, P. (57313025400)
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    Jourdan, A. (57214332634)
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    Lepiece, C. (50461779100)
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    Desteghe, L. (56700411300)
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    Vijgen, J. (6602253929)
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    Koopman, P. (42961734100)
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    Van Genechten, G. (57203933448)
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    Heidbuchel, H. (7004984289)
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    Boussy, T. (14041373700)
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    De Coninck, M. (57190759192)
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    Van Eeckhoutte, H. (57212378504)
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    Bouckaert, N. (57739683000)
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    Friart, A. (6701626016)
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    Boreux, J. (57311921300)
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    Arend, C. (57311698500)
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    Evrard, P. (57218337155)
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    Stefan, L. (57520822000)
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    Hoffer, E. (7005471235)
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    Herzet, J. (57190415635)
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    Massoz, M. (57196029622)
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    Celentano, C. (57220859886)
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    Sprynger, M. (24406952000)
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    Pierard, L. (57214710368)
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    Melon, P. (58391106200)
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    Van Hauwaert, B. (57312145200)
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    Kuppens, C. (57312365000)
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    Faes, D. (24337842700)
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    Van Lier, D. (57195076535)
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    Van Dorpe, A. (6508361649)
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    Gerardy, A. (57739687600)
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    Deceuninck, O. (22955439600)
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    Xhaet, O. (14061503300)
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    Dormal, F. (23004218100)
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    Ballant, E. (57193160905)
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    Blommaert, D. (6603443822)
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    Yakova, D. (57313252800)
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    Hristov, M. (8070503800)
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    Yncheva, T. (57312365300)
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    Stancheva, N. (57312365400)
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    Tisheva, S. (59261655600)
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    Tokmakova, M. (55409365000)
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    Nikolov, F. (59827823000)
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    Gencheva, D. (57313025600)
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    Shalganov, T. (58558219800)
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    Kunev, B. (57195032172)
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    Stoyanov, M. (36544333100)
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    Marchov, D. (48161370200)
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    Gelev, V. (15832032700)
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    Traykov, V. (6506077488)
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    Kisheva, A. (57201994480)
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    Tsvyatkov, H. (57312587300)
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    Shtereva, R. (57312804200)
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    Bakalska-Georgieva, S. (57312145400)
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    Slavcheva, S. (58957595900)
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    Yotov, Y. (22949565400)
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    Kubíčková, M. (57191409509)
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    Marni Joensen, A. (57312365500)
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    Gammelmark, A. (57794788200)
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    Hvilsted Rasmussen, L. (15058985100)
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    Dinesen, P. (57192396329)
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    Riahi, S. (6603274130)
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    Krogh Venø, S. (57204447860)
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    Sorensen, B. (57313252900)
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    Korsgaard, A. (57313025700)
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    Andersen, K. (7402451635)
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    Fragtrup Hellum, C. (57313253000)
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    Svenningsen, A. (57815540300)
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    Nyvad, O. (6603470806)
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    Wiggers, P. (57193661434)
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    May, O. (57311698800)
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    Aarup, A. (58020634700)
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    Graversen, B. (57312145600)
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    Jensen, L. (7403326527)
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    Andersen, M. (57226273799)
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    Svejgaard, M. (57313025800)
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    Vester, S. (57210516745)
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    Hansen, S. (57684213600)
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    Lynggaard, V. (57792844600)
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    Ciudad, M. (57211239227)
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    Vettus, R. (57739556800)
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    Muda, P. (6506246174)
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    Maestre, A. (7004228378)
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    Castaño, S. (23988348300)
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    Cheggour, S. (15841321600)
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    Poulard, J. (57200712588)
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    Mouquet, V. (35330598900)
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    Leparrée, S. (57208352245)
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    Bouet, J. (59878977000)
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    Taieb, J. (7007135928)
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    Doucy, A. (57190879810)
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    Duquenne, H. (57312804300)
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    Furber, A. (7005067021)
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    Dupuis, J. (59485742500)
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    Rautureau, J. (57523091200)
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    Font, M. (57312365600)
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    Damiano, P. (57312804400)
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    Lacrimini, M. (57312804500)
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    Abalea, J. (55758525600)
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    Boismal, S. (57311921600)
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    Menez, T. (57312145900)
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    Mansourati, J. (55847760200)
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    Range, G. (6506964783)
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    Gorka, H. (12752876200)
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    Laure, C. (57201732934)
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    Vassalière, C. (57311698900)
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    Elbaz, N. (6603419723)
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    Lellouche, N. (6602763709)
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    Djouadi, K. (57312587500)
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    Roubille, F. (57195925540)
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    Dietz, D. (55582677200)
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    Davy, J. (7101674587)
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    Granier, M. (24341215100)
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    Winum, P. (23971889900)
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    Leperchois-Jacquey, C. (57312804600)
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    Kassim, H. (57312365700)
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    Marijon, E. (12143483700)
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    Le Heuzey, J. (7005514655)
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    Fedida, J. (57191631769)
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    Maupain, C. (56196233700)
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    Himbert, C. (6602770065)
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    Gandjbakhch, E. (15065438000)
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    Hidden-Lucet, F. (6602612304)
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    Duthoit, G. (15845622500)
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    Badenco, N. (55365968400)
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    Chastre, T. (36639301200)
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    Waintraub, X. (23486823200)
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    Oudihat, M. (57312587600)
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    Lacoste, J. (57312365800)
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    Stephan, C. (57311699000)
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    Bader, H. (57313026000)
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    Delarche, N. (55911696900)
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    Giry, L. (57312365100)
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    Arnaud, D. (57312587700)
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    Lopez, C. (56714726100)
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    Boury, F. (57685289300)
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    Brunello, I. (57312804700)
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    Lefèvre, M. (59861642700)
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    Mingam, R. (57312366000)
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    Haissaguerre, M. (7102240350)
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    Le Bidan, M. (57203634742)
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    Pavin, D. (6603677763)
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    Le Moal, V. (14014493100)
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    Leclercq, C. (59630023200)
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    Piot, O. (7006174412)
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    Beitar, T. (14059469400)
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    Martel, I. (57313253300)
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    Schmid, A. (59570877300)
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    Sadki, N. (57312587800)
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    Romeyer-Bouchard, C. (8561336900)
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    Da Costa, A. (35577317600)
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    Arnault, I. (57312146100)
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    Boyer, M. (56587489500)
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    Piat, C. (57739685200)
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    Lozance, N. (57208351036)
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    Nastevska, S. (57311699100)
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    Doneva, A. (57211288811)
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    Fortomaroska Milevska, B. (57311699200)
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    Sheshoski, B. (57313253500)
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    Petroska, K. (57311699300)
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    Taneska, N. (57312366100)
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    Kayapinar, O. (36084223000)
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    Ozcan, T. (12647371900)
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    Kaya, H. (57684507500)
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    Yilmaz, M.B. (7202595585)
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    Kutlu, M. (58338614400)
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    Demir, M. (7004457669)
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    Gibbs, C. (57531805500)
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    Kaminskiene, S. (57311706900)
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    Bryce, M. (57312152900)
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    Skinner, A. (57311707000)
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    Belcher, G. (57493387300)
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    Hunt, J. (57685015200)
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    Stancombe, L. (58040464300)
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    Holbrook, B. (57312811600)
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    Peters, C. (57650559900)
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    Tettersell, S. (57311927800)
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    Shantsila, A. (35079373300)
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    Lane, D. (7403211608)
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    Senoo, K. (55142173500)
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    Russell, K. (57222071677)
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    Domingos, P. (57517020100)
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    Hussain, S. (57685661600)
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    Partridge, J. (57203934997)
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    Haynes, R. (57207752364)
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    Bahadur, S. (57525514500)
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    Brown, R. (55980533200)
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    McMahon, S. (57684467000)
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    McDonald, J. (57193498447)
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    Balachandran, K. (7005369842)
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    Singh, R. (55545408200)
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    Garg, S. (13104177600)
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    Desai, H. (57193275138)
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    Davies, K. (57201005789)
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    Goddard, W. (57204666991)
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    Galasko, G. (6701497614)
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    Chua, Y. (57313261300)
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    Payne, O. (57739420600)
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    Brown, J. (58728413600)
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    Pearson, J. (57312587200)
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    Stephenson, L. (57204249332)
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    Grant, S. (57198160185)
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    Wilson, A. (59631031000)
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    Hawksworth, C. (57207304570)
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    Alam, I. (57205493251)
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    Robinson, M. (56844297100)
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    Ryan, S. (57216331250)
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    Gibson, E. (57684451600)
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    Holland, M. (36155539400)
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    Leonard, D. (57313261600)
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    Mishra, B. (57684210100)
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    Ahmad, S. (59608270300)
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    Randall, H. (57313034400)
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    Hill, J. (59624291600)
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    George, M. (57685637500)
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    McKinley, S. (57685156900)
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    Milligan, W. (57313034600)
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    Muir, J. (57312375400)
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    Tuckis, L. (57313034700)
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    Winstanley, L. (57793117300)
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    Jan, A. (57311707900)
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    Sewell, T. (57208491277)
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    Boos, C. (57215186525)
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    Wadams, B. (57794228400)
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    Cope, C. (57311928000)
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    Jefferey, P. (57312812200)
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    Andrews, N. (57685092800)
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    Getty, A. (57311708000)
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    Turner, C. (59862902900)
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    Austin, R. (57313034800)
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    Iqbal, R. (59428732300)
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    Mirza, P. (57312596200)
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    Willard, E. (57312153800)
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    Collins, S. (59587979100)
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    Subkovas, E. (36115255500)
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    Karthikeyan, V. (12140159700)
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    Waggett, L. (57311708100)
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    Williams, L. (57199194899)
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    Sinha, M. (57684496300)
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    Bell, L. (57203044610)
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    Tudgay, S. (57216471691)
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    Kemp, S. (57311928100)
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    Frost, L. (57193662333)
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    Ingram, T. (57201068640)
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    Loughlin, A. (59429441300)
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    Adams, C. (57685038400)
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    Adams, M. (57684291800)
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    Hurford, F. (57201070687)
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    Duffy, M. (57685038300)
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    Madgwick, P. (57221928366)
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    Earles, S. (57312600000)
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    Dayer, M. (6603156411)
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    Luxton, F. (57205753334)
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    Venn, F. (57312815800)
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    Rewbury, J. (57739555000)
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    Tonks, L. (57192948586)
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    Felmeden, D. (6701819995)
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    Summerhayes, A. (57210509872)
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    Felmeden, L. (57210511714)
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    Khan, M. (55808731000)
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    Walker, E. (57206562395)
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    Jones, R. (10042286500)
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    Buckley, C. (7202815244)
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    Broadley, A. (57223976576)
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    Wood, D. (58763955500)
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    Rennie, K. (7004000843)
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    Balian, L. (6506569497)
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    Howard, L. (57612639400)
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    Pippard, L. (58284678100)
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    Board, S. (57201075413)
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    Pitt-Kerby, T. (57195551123)
    Background: Frailty is a medical syndrome characterised by reduced physiological reserve and increased vulnerability to stressors. Data regarding the relationship between frailty and atrial fibrillation (AF) are still inconsistent. Objectives: We aim to perform a comprehensive evaluation of frailty in a large European cohort of AF patients. Methods: A 40-item frailty index (FI) was built according to the accumulation of deficits model in the AF patients enrolled in the ESC-EHRA EORP-AF General Long-Term Registry. Association of baseline characteristics, clinical management, quality of life, healthcare resources use and risk of outcomes with frailty was examined. Results: Among 10,177 patients [mean age (standard deviation) 69.0 (11.4) years, 4,103 (40.3%) females], 6,066 (59.6%) were pre-frail and 2,172 (21.3%) were frail, whereas only 1,939 (19.1%) were considered robust. Baseline thromboembolic and bleeding risks were independently associated with increasing FI. Frail patients with AF were less likely to be treated with oral anticoagulants (OACs) (odds ratio 0.70, 95% confidence interval 0.55–0.89), especially with non-vitamin K antagonist OACs and managed with a rhythm control strategy, compared with robust patients. Increasing frailty was associated with a higher risk for all outcomes examined, with a non-linear exponential relationship. The use of OAC was associated with a lower risk of outcomes, except in patients with very/extremely high frailty. Conclusions: In this large cohort of AF patients, there was a high burden of frailty, influencing clinical management and risk of adverse outcomes. The clinical benefit of OAC is maintained in patients with high frailty, but not in very high/extremely frail ones. © The Author(s) 2022. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved.
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    Publication
    Epidemiology and impact of frailty in patients with atrial fibrillation in Europe
    (2022)
    Proietti, Marco (57202956034)
    ;
    Romiti, Giulio Francesco (56678539100)
    ;
    Vitolo, Marco (57204323320)
    ;
    Harrison, Stephanie L. (57191626227)
    ;
    Lane, Deirdre A. (57203229915)
    ;
    Fauchier, Laurent (7005282545)
    ;
    Marin, Francisco (57212539524)
    ;
    Näbauer, Michael (7004310943)
    ;
    Potpara, Tatjana S. (57216792589)
    ;
    Dan, Gheorghe-Andrei (57222706010)
    ;
    Maggioni, Aldo P. (57203255222)
    ;
    Cesari, Matteo (7005590063)
    ;
    Boriani, Giuseppe (57675336900)
    ;
    Lip, Gregory Y.H. (57216675273)
    ;
    Zëra, E. (57793670100)
    ;
    Ekmekçiu, U. (57195326633)
    ;
    Paparisto, V. (57115549700)
    ;
    Tase, M. (6508233485)
    ;
    Gjergo, H. (57195321834)
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    Dragoti, J. (57312364900)
    ;
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    Robinson, M. (56844297100)
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    Ryan, S. (57216331250)
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    Egdell, R. (57312153200)
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    Gibson, E. (57684451600)
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    Holland, M. (36155539400)
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    Leonard, D. (57313261600)
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    Mishra, B. (57684210100)
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    Ahmad, S. (59608270300)
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    Randall, H. (57313034400)
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    Hill, J. (59624291600)
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    Reid, L. (57312153300)
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    George, M. (57685637500)
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    McKinley, S. (57685156900)
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    Brockway, L. (57312153400)
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    Milligan, W. (57313034600)
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    Sobolewska, J. (57738999900)
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    Muir, J. (57312375400)
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    Tuckis, L. (57313034700)
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    Winstanley, L. (57793117300)
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    Jacob, P. (57685711800)
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    Kaye, S. (57313261700)
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    Morby, L. (57312812100)
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    Jan, A. (57311707900)
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    Sewell, T. (57208491277)
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    Boos, C. (57215186525)
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    Wadams, B. (57794228400)
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    Cope, C. (57311928000)
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    Jefferey, P. (57312812200)
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    Andrews, N. (57685092800)
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    Getty, A. (57311708000)
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    Suttling, A. (57201075548)
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    Turner, C. (59862902900)
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    Hudson, K. (59797009200)
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    Austin, R. (57313034800)
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    Howe, S. (57226613839)
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    Iqbal, R. (59428732300)
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    Gandhi, N. (57312153600)
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    Brophy, K. (57312153700)
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    Mirza, P. (57312596200)
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    Willard, E. (57312153800)
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    Collins, S. (59587979100)
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    Ndlovu, N. (57312596300)
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    Subkovas, E. (36115255500)
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    Karthikeyan, V. (12140159700)
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    Waggett, L. (57311708100)
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    Wood, A. (58927922500)
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    Bolger, A. (7006577623)
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    Stockport, J. (57500095300)
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    Evans, L. (57197584258)
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    Harman, E. (57200679402)
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    Starling, J. (57312812300)
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    Williams, L. (57199194899)
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    Sinha, M. (57684496300)
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    Bell, L. (57203044610)
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    Kemp, S. (57311928100)
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    Ingram, T. (57201068640)
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    Loughlin, A. (59429441300)
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    Adams, C. (57685038400)
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    Hurford, F. (57201070687)
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    Owen, C. (25951447600)
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    Miller, C. (59597559600)
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    Donaldson, D. (57205488172)
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    Tivenan, H. (58770665200)
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    Button, H. (57221937088)
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    Nasser, A. (57312154000)
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    Jhagra, O. (57311708300)
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    Stidolph, B. (57739684300)
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    Brown, C. (56504280400)
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    Livingstone, C. (57311932100)
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    Duffy, M. (57685038300)
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    Madgwick, P. (57221928366)
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    Roberts, P. (58927922000)
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    Greenwood, E. (57312379600)
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    Fletcher, L. (57313038700)
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    Beveridge, M. (58579722500)
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    Earles, S. (57312600000)
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    McKenzie, D. (57312600100)
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    Beacock, D. (57945752600)
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    Dayer, M. (6603156411)
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    Seddon, M. (57312158100)
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    Greenwell, D. (57204981820)
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    Luxton, F. (57205753334)
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    Venn, F. (57312815800)
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    Mills, H. (59853262200)
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    Rewbury, J. (57739555000)
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    James, K. (57685301300)
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    Roberts, K. (57685753200)
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    Tonks, L. (57192948586)
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    Felmeden, D. (6701819995)
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    Taggu, W. (23487337100)
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    Summerhayes, A. (57210509872)
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    Hughes, D. (35570067600)
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    Sutton, J. (57217268183)
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    Felmeden, L. (57210511714)
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    Khan, M. (55808731000)
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    Walker, E. (57206562395)
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    Norris, L. (57312816000)
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    O’Donohoe, L. (57312158200)
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    Mozid, A. (57910839900)
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    Dymond, H. (57193398283)
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    Lloyd-Jones, H. (57312379700)
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    Saunders, G. (57313266900)
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    Simmons, D. (57684496200)
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    Coles, D. (57312600200)
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    Cotterill, D. (56868610400)
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    Beech, S. (57311932300)
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    Kidd, S. (57312379800)
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    Wrigley, B. (35199378200)
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    Petkar, S. (8958429800)
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    Smallwood, A. (57312158300)
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    Jones, R. (10042286500)
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    Radford, E. (57311711100)
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    Milgate, S. (57793669400)
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    Metherell, S. (58203479200)
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    Cottam, V. (55340845700)
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    Buckley, C. (7202815244)
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    Broadley, A. (57223976576)
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    Wood, D. (58763955500)
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    Allison, J. (57684920100)
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    Rennie, K. (7004000843)
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    Balian, L. (6506569497)
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    Howard, L. (57612639400)
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    Pippard, L. (58284678100)
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    Board, S. (57201075413)
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    Pitt-Kerby, T. (57195551123)
    Background: Frailty is a medical syndrome characterised by reduced physiological reserve and increased vulnerability to stressors. Data regarding the relationship between frailty and atrial fibrillation (AF) are still inconsistent. Objectives: We aim to perform a comprehensive evaluation of frailty in a large European cohort of AF patients. Methods: A 40-item frailty index (FI) was built according to the accumulation of deficits model in the AF patients enrolled in the ESC-EHRA EORP-AF General Long-Term Registry. Association of baseline characteristics, clinical management, quality of life, healthcare resources use and risk of outcomes with frailty was examined. Results: Among 10,177 patients [mean age (standard deviation) 69.0 (11.4) years, 4,103 (40.3%) females], 6,066 (59.6%) were pre-frail and 2,172 (21.3%) were frail, whereas only 1,939 (19.1%) were considered robust. Baseline thromboembolic and bleeding risks were independently associated with increasing FI. Frail patients with AF were less likely to be treated with oral anticoagulants (OACs) (odds ratio 0.70, 95% confidence interval 0.55–0.89), especially with non-vitamin K antagonist OACs and managed with a rhythm control strategy, compared with robust patients. Increasing frailty was associated with a higher risk for all outcomes examined, with a non-linear exponential relationship. The use of OAC was associated with a lower risk of outcomes, except in patients with very/extremely high frailty. Conclusions: In this large cohort of AF patients, there was a high burden of frailty, influencing clinical management and risk of adverse outcomes. The clinical benefit of OAC is maintained in patients with high frailty, but not in very high/extremely frail ones. © The Author(s) 2022. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved.
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    Factors Associated with Progression of Atrial Fibrillation and Impact on All-Cause Mortality in a Cohort of European Patients
    (2023)
    Vitolo, Marco (57204323320)
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    Proietti, Marco (57202956034)
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    Imberti, Jacopo F. (57212103023)
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    Bonini, Niccolò (57203751290)
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    Romiti, Giulio Francesco (56678539100)
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    Mei, Davide A. (57223301580)
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    Malavasi, Vincenzo L. (6508266512)
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    Diemberger, Igor (8070601200)
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    Fauchier, Laurent (7005282545)
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    Marin, Francisco (57212539524)
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    Nabauer, Michael (7004310943)
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    Potpara, Tatjana S. (57216792589)
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    Dan, Gheorghe-Andrei (57222706010)
    ;
    Lip, Gregory Y. H. (57216675273)
    ;
    Boriani, Giuseppe (57675336900)
    Background: Paroxysmal atrial fibrillation (AF) may often progress towards more sustained forms of the arrhythmia, but further research is needed on the factors associated with this clinical course. Methods: We analyzed patients enrolled in a prospective cohort study of AF patients. Patients with paroxysmal AF at baseline or first-detected AF (with successful cardioversion) were included. According to rhythm status at 1 year, patients were stratified into: (i) No AF progression and (ii) AF progression. All-cause death was the primary outcome. Results: A total of 2688 patients were included (median age 67 years, interquartile range 60–75, females 44.7%). At 1-year of follow-up, 2094 (77.9%) patients showed no AF progression, while 594 (22.1%) developed persistent or permanent AF. On multivariable logistic regression analysis, no physical activity (odds ratio [OR] 1.35, 95% CI 1.02–1.78), valvular heart disease (OR 1.63, 95% CI 1.23–2.15), left atrial diameter (OR 1.03, 95% CI 1.01–1.05), or left ventricular ejection fraction (OR 0.98, 95% CI 0.97–1.00) were independently associated with AF progression at 1 year. After the assessment at 1 year, the patients were followed for an extended follow-up of 371 days, and those with AF progression were independently associated with a higher risk for all-cause death (adjusted hazard ratio 1.77, 95% CI 1.09–2.89) compared to no-AF-progression patients. Conclusions: In a contemporary cohort of AF patients, a substantial proportion of patients presenting with paroxysmal or first-detected AF showed progression of the AF pattern within 1 year, and clinical factors related to cardiac remodeling were associated with progression. AF progression was associated with an increased risk of all-cause mortality. © 2023 by the authors.
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    Impact of ABC (Atrial Fibrillation Better Care) pathway adherence in high-risk subgroups with atrial fibrillation: A report from the ESC-EHRA EORP-AF long-term general registry
    (2023)
    Ding, Wern Yew (56141931000)
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    Proietti, Marco (57202956034)
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    Romiti, Giulio Francesco (56678539100)
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    Vitolo, Marco (57204323320)
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    Fawzy, Ameenathul Mazaya (57204771086)
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    Boriani, Giuseppe (57675336900)
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    Marin, Francisco (57212539524)
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    Blomström-Lundqvist, Carina (55941853900)
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    Potpara, Tatjana S. (57216792589)
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    Fauchier, Laurent (7005282545)
    ;
    H Lip, Gregory Y. (57216675273)
    Background: Effects of Atrial Fibrillation Better Care (ABC) adherence among high-risk atrial fibrillation (AF) subgroups remains unknown. We aimed to evaluate the impact of ABC adherence on clinical outcomes in these high-risk patients. Methods: EORP-AF General Long-Term Registry is a prospective, observational registry from 250 centres across 27 European countries. High-risk patients were defined as those with either CKD (eGFR <60 mL/min/1.73m2), elderly patients (≥75 years) or prior thromboembolism. Primary outcome was a composite event of all-cause death, thromboembolism and acute coronary syndrome. Results: 6646 patients with AF were screened (median age was 70 [IQR 61 – 77] years; 40.2% females). There were 3304 (54.2%) patients with either CKD (n = 1750), older age (n = 2236) or prior thromboembolism (n = 728). Among these, 924 (28.0%) were managed as adherent to ABC. At 2-year follow-up, 966 (14.5%) patients reported the primary outcome. The incidence of the primary outcome was significantly lower in high-risk patients managed as adherent to ABC pathway (IRR 0.53 [95%CI, 0.43 – 0.64]). Consistent results were obtained in the individual subgroups. Using multivariable Cox proportional hazards analysis, ABC adherence in the high-risk cohort was independently associated with a lower risk of the primary outcome (aHR 0.64 [95%CI, 0.51 – 0.80]), as well as in the CKD (aHR 0.51 [95%CI, 0.37 – 0.70]) and elderly subgroups (aHR 0.69 [95%CI, 0.53 – 0.90]). Overall, there was greater reduction in the risk of primary outcome as more ABC criteria were fulfilled, both in the overall high-risk patients (aHR 0.39 [95%CI, 0.25 – 0.61]), as well as in the individual subgroups. Conclusion: In a large, contemporary cohort of patients with AF, we demonstrate that adherence to the ABC pathway was associated with a significant benefit among high-risk patients with either CKD, advanced age (≥75 years old) or prior thromboembolism. © 2022 European Federation of Internal Medicine
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    Optimal Medical Therapy for Heart Failure and Integrated Care in Patients With Atrial Fibrillation: A Report From the ESC-EHRA EORP Atrial Fibrillation Long-Term General Registry
    (2025)
    Bonini, Niccolò (57203751290)
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    Proietti, Marco (57202956034)
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    Romiti, Giulio Francesco (56678539100)
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    Vitolo, Marco (57204323320)
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    Fawzy, Ameenathul Mazaya (57204771086)
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    Ding, Wern Yew (56141931000)
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    Imberti, Jacopo Francesco (57212103023)
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    Fauchier, Laurent (7005282545)
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    Marin, Francisco (57212539524)
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    Nabauer, Michael (7004310943)
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    Dan, Gheorghe Andrei (57222706010)
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    Potpara, Tatjana S. (57216792589)
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    Boriani, Giuseppe (57675336900)
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    Lip, Gregory Y. H. (57802425600)
    BACKGROUND: Heart failure (HF) often occurs in patients with atrial fibrillation (AF), with a major impact on prognosis. Few data are available on the effect of integrated treatment strategies to improve prognosis in patients with AF. We aimed to evaluate the association between HF (according to left ventricular ejection fraction [LVEF]), HF optimal medical therapy and adherence to the Atrial Fibrillation Better Care pathway, and major outcomes in patients with AF. METHODS AND RESULTS: From the ESC-EHRA EORP-AF (European Society of Cardiology–European Heart Rhythm Association EURObservational Research Programme in Atrial Fibrillation) General Long-Term Registry, we evaluated patients with HF, categorized according to LVEF (HF with reduced ejection fraction, HF with mildly reduced ejection fraction, HF with preserved ejection fraction). Optimal medical therapy for HF was guidelines-defined. The primary end point was the composite of all-cause death and major adverse cardiovascular events. From the original cohort, 9373 (84.5%) patients were included in this analysis (median age, 71 [interquartile range, 62–77] years; 39.9% women). Compared with no HF, all HF categories were associated with an increased risk of the primary composite outcome, with highest figures observed for HF with reduced ejection fraction (hazard ratio [HR], 2.36 [95% CI, 2.00–2.78]). The risk was reduced in patients with AF and HF adherent to optimal medical therapy (HR, 0.83 [95% CI, 0.70–0.98]), as well as in those adherents to the Atrial Fibrillation Better Care pathway (HR, 0.65 [95% CI, 0.48–0.88]). The effect of Atrial Fibrillation Better Care pathway was consistent across the spectrum of LVEF. CONCLUSIONS: Patients with AF and HF have a high risk of major adverse events, and this risk is inversely associated with LVEF. Atrial Fibrillation Better Care pathway adherent management is associated with improved clinical outcomes in patients with HF, across the spectrum of LVEF. © 2024 The Author(s).
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    Yield of diagnosis and risk of stroke with screening strategies for atrial fibrillation: a comprehensive review of current evidence
    (2023)
    Corica, Bernadette (57203868574)
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    Bonini, Niccolò (57203751290)
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    Imberti, Jacopo Francesco (57212103023)
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    Romiti, Giulio Francesco (56678539100)
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    Vitolo, Marco (57204323320)
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    Attanasio, Lisa (58241626000)
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    Basili, Stefania (7005668160)
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    Freedman, Ben (35481156500)
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    Potpara, Tatjana S. (57216792589)
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    Boriani, Giuseppe (57675336900)
    ;
    Lip, Gregory Y.H. (57216675273)
    ;
    Proietti, Marco (57202956034)
    Atrial fibrillation (AF) is the most prevalent arrhythmia worldwide. The presence of AF is associated with increased risk of systemic thromboembolism, but with the uptake of oral anticoagulant (OAC) and implementation of a holistic and integrated care management, this risk is substantially reduced. The diagnosis of AF requires a 30-s-long electrocardiographic (ECG) trace, irrespective of the presence of symptoms, which may represent the main indication for an ECG tracing. However, almost half patients are asymptomatic at the time of incidental AF diagnosis, with similar risk of stroke of those with clinical AF. This has led to a crucial role of screening for AF, to increase the diagnosis of population at risk of clinical events. The aim of this review is to give a comprehensive overview about the epidemiology of asymptomatic AF, the different screening technologies, the yield of diagnosis in asymptomatic population, and the benefit derived from screening in terms of reduction of clinical adverse events, such as stroke, cardiovascular, and all-cause death. We aim to underline the importance of implementing AF screening programmes and reporting about the debate between scientific societies’ clinical guidelines recommendations and the concerns expressed by the regulatory authorities, which still do not recommend population-wide screening. This review summarizes data on the ongoing trials specifically designed to investigate the benefit of screening in terms of risk of adverse events which will further elucidate the importance of screening in reducing risk of outcomes and influence and inform clinical practice in the next future. © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.

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