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Browsing by Author "Celutkiene, Jelena (6507133552)"

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    Epidemiology, pathophysiology and contemporary management of cardiogenic shock – a position statement from the Heart Failure Association of the European Society of Cardiology
    (2020)
    Chioncel, Ovidiu (12769077100)
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    Parissis, John (7004855782)
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    Mebazaa, Alexandre (57210091243)
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    Thiele, Holger (57223640812)
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    Desch, Steffen (6603605031)
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    Bauersachs, Johann (7004626054)
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    Harjola, Veli-Pekka (6602728533)
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    Antohi, Elena-Laura (57201067583)
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    Arrigo, Mattia (49360920500)
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    Gal, Tuvia B. (7003448638)
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    Celutkiene, Jelena (6507133552)
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    Collins, Sean P. (7402535524)
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    DeBacker, Daniel (6508112264)
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    Iliescu, Vlad A. (6601988960)
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    Jankowska, Ewa (21640520500)
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    Jaarsma, Tiny (56962769200)
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    Keramida, Kalliopi (57202300032)
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    Lainscak, Mitja (9739432000)
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    Lund, Lars H (7102206508)
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    Lyon, Alexander R. (57203046227)
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    Masip, Josep (57221962429)
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    Metra, Marco (7006770735)
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    Miro, Oscar (7004945768)
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    Mortara, Andrea (7005821770)
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    Mueller, Christian (57638261900)
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    Mullens, Wilfried (55916359500)
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    Nikolaou, Maria (36915428200)
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    Piepoli, Massimo (7005292730)
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    Price, Susana (7202475463)
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    Rosano, Giuseppe (7007131876)
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    Vieillard-Baron, Antoine (7003457488)
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    Weinstein, Jean M. (7201816859)
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    Anker, Stefan D. (56223993400)
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    Filippatos, Gerasimos (7003787662)
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    Ruschitzka, Frank (7003359126)
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    Coats, Andrew J.S. (35395386900)
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    Seferovic, Petar (6603594879)
    Cardiogenic shock (CS) is a complex multifactorial clinical syndrome with extremely high mortality, developing as a continuum, and progressing from the initial insult (underlying cause) to the subsequent occurrence of organ failure and death. There is a large spectrum of CS presentations resulting from the interaction between an acute cardiac insult and a patient's underlying cardiac and overall medical condition. Phenotyping patients with CS may have clinical impact on management because classification would support initiation of appropriate therapies. CS management should consider appropriate organization of the health care services, and therapies must be given to the appropriately selected patients, in a timely manner, whilst avoiding iatrogenic harm. Although several consensus-driven algorithms have been proposed, CS management remains challenging and substantial investments in research and development have not yielded proof of efficacy and safety for most of the therapies tested, and outcome in this condition remains poor. Future studies should consider the identification of the new pathophysiological targets, and high-quality translational research should facilitate incorporation of more targeted interventions in clinical research protocols, aimed to improve individual patient outcomes. Designing outcome clinical trials in CS remains particularly challenging in this critical and very costly scenario in cardiology, but information from these trials is imperiously needed to better inform the guidelines and clinical practice. The goal of this review is to summarize the current knowledge concerning the definition, epidemiology, underlying causes, pathophysiology and management of CS based on important lessons from clinical trials and registries, with a focus on improving in-hospital management. © 2020 European Society of Cardiology
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    Feasibility and value of two-dimensional volumetric stress echocardiography
    (2022)
    Bombardini, Tonino (6701802597)
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    Zagatina, Angela (22939399700)
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    Ciampi, Quirino (6602299243)
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    Cortigiani, Lauro (55663049600)
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    D'Andrea, Antonello (55612687400)
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    Borguezan Daros, Clarissa (57192979152)
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    Zhuravskaya, Nadezhda (22939707600)
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    Kasprzak, Jaroslaw D. (35452933600)
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    Wierzbowska-Drabi, Karina (57614862700)
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    De Castro E Silva Pretto, José L. (6508318426)
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    Djordjevic-Diki, Ana (57612227800)
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    Beleslin, Branko (6701355424)
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    Petrovic, Marija (57207720679)
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    Boskovic, Nikola (6508290354)
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    Tesic, Milorad (36197477200)
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    Monte, Ines P. (55884115100)
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    Simova, Iana (23391267500)
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    Vladova, Martina (57218480094)
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    Boshchenko, Alla (6602887127)
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    Ryabova, Tamara (6701481228)
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    Citro, Rodolfo (15921921800)
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    Amor, Miguel (37066931100)
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    Vargas Mieles, Paul E. (57218481743)
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    Arbucci, Rosina (57201675703)
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    Dodi, Claudio (6602478787)
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    Rigo, Fausto (6701803166)
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    Gligorova, Suzana (11840443000)
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    Dekleva, Milica (56194369000)
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    Severino, Sergio (7006690054)
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    Torres, Marco A. (7402581476)
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    Salustri, Alessandro (36943779100)
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    Rodrìguez-Zanell, Hugo (57610882900)
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    Costantino, Fabio M. (55499164600)
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    Varga, Albert (7102315827)
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    Agoston, Gergely (55206815100)
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    Bossone, Eduardo (55238465000)
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    Ferrara, Francesco (59464334600)
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    Gaibazzi, Nicola (6603190525)
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    Rabia, Granit (57209706527)
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    Celutkiene, Jelena (6507133552)
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    Haberka, MacIej (22834420800)
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    Mori, Fabio (24290552500)
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    D'Alfonso, Maria G. (55959365300)
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    Reisenhofer, Barbara (6603491191)
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    Camarozano, Ana C. (14055534600)
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    Salamé, Michael (57235732400)
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    Szymczyk, Ewa (25121768000)
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    Wejner-Mi, Paulina (57610883000)
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    Wdowiak-Okroje, Katarzyna (57611556900)
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    Kovacevic Preradovic, Tamara (21743080300)
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    Lattanzi, Fabio (7005850087)
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    Morrone, Doralisa (36478990700)
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    Scali, Maria C. (55929478400)
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    Ostojic, Miodrag (34572650500)
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    Nikolic, Aleksandra (59432908700)
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    Re, Federica (57210067725)
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    Barbieri, Andrea (56377673100)
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    Di Salvo, Giovanni (7003610825)
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    Colonna, Paolo (57221823607)
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    De Nes, Michele (6507042094)
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    Paterni, Marco (7003660393)
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    Merlo, Pablo M. (57191339958)
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    Lowenstein, Jorge (7103408229)
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    Carpeggiani, Clara (7003751506)
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    Gregori, Dario (7003412314)
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    Picano, Eugenio (7102408994)
    BACKGROUND: Stroke volume response during stress is a major determinant of functional status in heart failure and can be measured by two-dimensional (2-D) volumetric stress echocardiography (SE). The present study hypothesis is that SE may identify mechanisms underlying the change in stroke volume by measuring preload reserve through enddiastolic volume (EDV) and left ventricular contractile reserve (LVCR) with systolic blood pressure and end-systolic volume (ESV). METHODS: We enrolled 4735 patients (age 63.6±11.3 years, 2800 male) referred to SE for known or suspected coronary artery disease (CAD) and/or heart failure (HF) in 21 SE laboratories in 8 countries. In addition to regional wall motion abnormalities (RWMA), force was measured at rest and peak stress as the ratio of systolic blood pressure by cuff sphygmomanometer/ESV by 2D with Simpson's or linear method. Abnormal values of LVCR (peak/rest) based on force were ≤1.10 for dipyridamole (N.=1992 patients) and adenosine (N.=18); ≤2.0 for exercise (N.=2087) or dobutamine (N.=638). RESULTS: Force-based LV CR was obtained in all 4735 patients. Lack of stroke volume increase during stress was due to either abnormal LVCR and/or blunted preload reserve, and 57% of patients with abnormal LVCR nevertheless showed increase in stroke volume. CONCLUSIONS: Volumetric SE is highly feasible with all stresses, and more frequently impaired in presence of ischemic RWMA, absence of viability and reduced coronary flow velocity reserve. It identifies an altered stroke volume response due to reduced preload and/or contractile reserve. © 2020 EDIZIONI MINERVA MEDICA.
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    Left atrial volume changes during exercise stress echocardiography in heart failure and hypertrophic cardiomyopathy
    (2022)
    Wierzbowska-Drabik, Karina (12772110800)
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    Kasprzak, Jarosław D. (35452933600)
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    Haberka, Maciej (22834420800)
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    Peteiro, Jesus (7003845482)
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    Re, Federica (57210067725)
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    D'Alfonso, Maria Grazia (55959365300)
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    Mori, Fabio (24290552500)
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    Palinkas, Eszter D. (57236014400)
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    Agoston, Gergely (55206815100)
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    Varga, Albert (7102315827)
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    Djordjevic-Dikic, Ana (57003143600)
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    Tesic, Milorad (36197477200)
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    Zagatina, Angela (22939399700)
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    Rodriguez-Zanella, Hugo (56109055800)
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    Simova, Iana (23391267500)
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    Merli, Elisa (6701858723)
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    Morrone, Doralisa (36478990700)
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    D'Andrea, Antonello (55612687400)
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    Camarozano, Ana C. (14055534600)
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    Reisenhofer, Barbara (6603491191)
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    Prota, Costantina (55635036000)
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    Citro, Rodolfo (15921921800)
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    Celutkiene, Jelena (6507133552)
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    Boshchenko, Alla (6602887127)
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    Ciampi, Quirino (6602299243)
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    Picano, Eugenio (7102408994)
    Objective: We aimed to assess feasibility and functional correlates of left atrial volume index (LAVI) changes during exercise stress echocardiography (ESE). Methods: ESE on a bike or treadmill was performed in 363 patients with heart failure with preserved ejection fraction (HFpEF, n = 173), reduced ejection fraction (HFrEF, n = 59), or hypertrophic cardiomyopathy (HCM, n = 131). The LAVI stress-rest increase ≥6.8 ml/m2 was defined as dilation. Results: LAVI measurements were feasible in 100%. LAVI did not change in HFrEF being at rest 32 (25-45) vs at stress 36 (24-54) ml/m2, P = NS and in HCM at rest 35 (26-48) vs at stress 38 (28-48) ml/m2, P = NS, whereas it decreased in HFpEF from 30 (24-40) to 29 (21-37) ml/m2 at stress, P = 0.007. LA dilation occurred in 107 (30%) patients (27% with treadmill vs 33% with bike ESE, P = NS): 26 with HFpEF (15%), 26 with HFrEF (44%), and 55 with HCM (42%) with P < 0.001 for HFrEF and HCM vs HFpEF. A multivariate analysis revealed as the predictors for LAVI dilation E/e’ > 14 at rest with odds ratio (OR) 4.4, LVEF <50% with OR 2.9, and LAVI at rest <35 ml/m2 with OR 2.7. Conclusion: The LAVI assessment during ESE was highly feasible and dilation equally frequent with a treadmill or bike. LA dilation was three-fold more frequent in HCM and HFrEF and could be predicted by increased resting E/e’ and impaired EF as well as smaller baseline LAVI. © 2022 Hellenic Society of Cardiology
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    Lung Ultrasound and Pulmonary Congestion During Stress Echocardiography
    (2020)
    Scali, Maria Chiara (55929478400)
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    Zagatina, Angela (22939399700)
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    Ciampi, Quirino (6602299243)
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    Cortigiani, Lauro (55663049600)
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    D'Andrea, Antonello (55612687400)
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    Daros, Clarissa Borguezan (57192979152)
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    Zhuravskaya, Nadezhda (22939707600)
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    Kasprzak, Jaroslaw D. (35452933600)
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    Wierzbowska-Drabik, Karina (12772110800)
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    Luis de Castro e Silva Pretto, José (57200859205)
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    Djordjevic-Dikic, Ana (57003143600)
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    Beleslin, Branko (6701355424)
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    Petrovic, Marija (57207720679)
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    Boskovic, Nikola (6508290354)
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    Tesic, Milorad (36197477200)
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    Monte, Ines (55884115100)
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    Simova, Iana (23391267500)
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    Vladova, Martina (57218480094)
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    Boshchenko, Alla (6602887127)
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    Vrublevsky, Alexander (6701757460)
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    Citro, Rodolfo (15921921800)
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    Amor, Miguel (37066931100)
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    Vargas Mieles, Paul E. (57218481743)
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    Arbucci, Rosina (57201675703)
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    Merlo, Pablo Martin (57191339958)
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    Lowenstein Haber, Diego M. (56112672500)
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    Dodi, Claudio (6602478787)
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    Rigo, Fausto (6701803166)
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    Gligorova, Suzana (11840443000)
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    Dekleva, Milica (56194369000)
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    Severino, Sergio (7006690054)
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    Lattanzi, Fabio (7005850087)
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    Morrone, Doralisa (36478990700)
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    Galderisi, Maurizio (57203882101)
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    Torres, Marco A.R. (7402581476)
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    Salustri, Alessandro (36943779100)
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    Rodrìguez-Zanella, Hugo (56109055800)
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    Costantino, Fabio Marco (55499164600)
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    Varga, Albert (7102315827)
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    Agoston, Gergely (55206815100)
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    Bossone, Eduardo (55238465000)
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    Ferrara, Francesco (57201099810)
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    Gaibazzi, Nicola (6603190525)
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    Celutkiene, Jelena (6507133552)
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    Haberka, Maciej (22834420800)
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    Mori, Fabio (24290552500)
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    D'Alfonso, Maria Grazia (55959365300)
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    Reisenhofer, Barbara (6603491191)
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    Camarozano, Ana Cristina (14055534600)
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    Miglioranza, Marcelo Haertel (35956952500)
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    Szymczyk, Ewa (25121768000)
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    Wejner-Mik, Paulina (6603038461)
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    Wdowiak-Okrojek, Katarzyna (44261600800)
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    Preradovic-Kovacevic, Tamara (59158416100)
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    Bombardini, Tonino (6701802597)
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    Ostojic, Miodrag (34572650500)
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    Nikolic, Aleksandra (59432908700)
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    Re, Federica (57210067725)
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    Barbieri, Andrea (56377673100)
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    Di Salvo, Giovanni (7003610825)
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    Merli, Elisa (6701858723)
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    Colonna, Paolo (57221823607)
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    Lorenzoni, Valentina (57964799700)
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    De Nes, Michele (6507042094)
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    Paterni, Marco (7003660393)
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    Carpeggiani, Clara (7003751506)
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    Lowenstein, Jorge (7103408229)
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    Picano, Eugenio (7102408994)
    Objectives: The purpose of this study was to assess the functional and prognostic correlates of B-lines during stress echocardiography (SE). Background: B-profile detected by lung ultrasound (LUS) is a sign of pulmonary congestion during SE. Methods: The authors prospectively performed transthoracic echocardiography (TTE) and LUS in 2,145 patients referred for exercise (n = 1,012), vasodilator (n = 1,054), or dobutamine (n = 79) SE in 11 certified centers. B-lines were evaluated in a 4-site simplified scan (each site scored from 0: A-lines to 10: white lung for coalescing B-lines). During stress the following were also analyzed: stress-induced new regional wall motion abnormalities in 2 contiguous segments; reduced left ventricular contractile reserve (peak/rest based on force, ≤2.0 for exercise and dobutamine, ≤1.1 for vasodilators); and abnormal coronary flow velocity reserve ≤2.0, assessed by pulsed-wave Doppler sampling in left anterior descending coronary artery and abnormal heart rate reserve (peak/rest heart rate) ≤1.80 for exercise and dobutamine (≤1.22 for vasodilators). All patients completed follow-up. Results: According to B-lines at peak stress patients were divided into 4 different groups: group I, absence of stress B-lines (score: 0 to 1; n = 1,389; 64.7%); group II, mild B-lines (score: 2 to 4; n = 428; 20%); group III, moderate B-lines (score: 5 to 9; n = 209; 9.7%) and group IV, severe B-lines (score: ≥10; n = 119; 5.4%). During median follow-up of 15.2 months (interquartile range: 12 to 20 months) there were 38 deaths and 28 nonfatal myocardial infarctions in 64 patients. At multivariable analysis, severe stress B-lines (hazard ratio [HR]: 3.544; 95% confidence interval [CI]: 1.466 to 8.687; p = 0.006), abnormal heart rate reserve (HR: 2.276; 95% CI: 1.215 to 4.262; p = 0.010), abnormal coronary flow velocity reserve (HR: 2.178; 95% CI: 1.059 to 4.479; p = 0.034), and age (HR: 1.031; 95% CI: 1.002 to 1.062; p = 0.037) were independent predictors of death and nonfatal myocardial infarction. Conclusions: Severe stress B-lines predict death and nonfatal myocardial infarction. (Stress Echo 2020–The International Stress Echo Study [SE2020]; NCT03049995) © 2020 American College of Cardiology Foundation
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    Multiple Phenotypes of Chronic Coronary Syndromes Identified by ABCDE Stress Echocardiography
    (2024)
    Gaibazzi, Nicola (6603190525)
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    Ciampi, Quirino (6602299243)
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    Cortigiani, Lauro (55663049600)
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    Wierzbowska-Drabik, Karina (12772110800)
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    Zagatina, Angela (22939399700)
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    Djordjevic-Dikic, Ana (57003143600)
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    Manganelli, Fiore (58515642900)
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    Boshchenko, Alla (6602887127)
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    Borguezan-Daros, Clarissa (57192979152)
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    Arbucci, Rosina (57201675703)
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    Marconi, Sofia (58627131700)
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    Lowenstein, Jorge (7103408229)
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    Haberka, Maciej (22834420800)
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    Celutkiene, Jelena (6507133552)
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    D'Andrea, Antonello (55612687400)
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    Rodriguez-Zanella, Hugo (56109055800)
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    Rigo, Fausto (6701803166)
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    Monte, Ines (55884115100)
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    Costantino, Marco Fabio (55499164600)
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    Ostojic, Miodrag (34572650500)
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    Merli, Elisa (6701858723)
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    Pepi, Mauro (7006081973)
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    Carerj, Scipione (56251394000)
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    Kasprzak, Jaroslaw D. (35452933600)
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    Pellikka, Patricia A. (7007042258)
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    Picano, Eugenio (7102408994)
    Background: Regional wall motion abnormality is considered a sensitive and specific marker of ischemia during stress echocardiography (SE). However, ischemia is a multifaceted entity associated with either coronary artery disease (CAD) or angina with normal coronary arteries, a distinction difficult to make using a single sign. The aim of this study was to evaluate the diagnostic potential of the five-step ABCDE SE protocol for CAD detection. Methods: From the 2016–2022 Stress Echo 2030 study data bank, 3,229 patients were selected (mean age, 66 ± 12 years; 2,089 men [65%]) with known CAD (n = 1,792) or angina with normal coronary arteries (n = 1,437). All patients were studied using both the ABCDE SE protocol and coronary angiography, within 3 months. In step A, regional wall motion abnormality is assessed; in step B, B-lines and diastolic function; in step C, left ventricular contractile reserve; in step D, coronary flow velocity reserve in the left anterior descending coronary artery; and in step E, heart rate reserve. Results: SE response ranged from a score of 0 (all steps normal) to a score of 5 (all steps abnormal). For CAD, rates of abnormal results were 347 for step A (19.4%), 547 (30.5%) for step B, 720 (40.2%) for step C, 615 (34.3%) for step D, and 633 (35.3%) for step E. For angina with normal coronary arteries, rates of abnormal results were 81 (5.6%) for step A, 429 (29.9%) for step B, 432 (30.1%) for step C, 354 (24.6%) for step D, and 445 (31.0%) for step E. The dominant “solitary phenotype” was step B in 109 patients (9.1%). Conclusions: Stress-induced ischemia presents with a wide range of diagnostic phenotypes, highlighting its complex nature. Using a comprehensive approach such as the advanced ABCDE score, which combines multiple markers, proves to be more valuable than relying on a single marker in isolation. © 2023 American Society of Echocardiography
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    Quality control of regional wall motion analysis in stress Echo 2020
    (2017)
    Ciampi, Quirino (6602299243)
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    Picano, Eugenio (7102408994)
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    Paterni, Marco (7003660393)
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    Daros, Clarissa Borguezan (57192979152)
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    Simova, Iana (23391267500)
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    de Castro e Silva Pretto, José Luis (6508318426)
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    Scali, Maria Chiara (55929478400)
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    Gaibazzi, Nicola (6603190525)
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    Severino, Sergio (7006690054)
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    Djordjevic-Dikic, Ana (57003143600)
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    Kasprzak, Jaroslaw D. (35452933600)
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    Zagatina, Angela (22939399700)
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    Varga, Albert (7102315827)
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    Lowenstein, Jorge (7103408229)
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    Merlo, Pablo Martin (57191339958)
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    Amor, Miguel (37066931100)
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    Celutkiene, Jelena (6507133552)
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    Perez, Julio E. (7403417846)
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    Di Salvo, Giovanni (7003610825)
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    Galderisi, Maurizio (7005866296)
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    Mori, Fabio (24290552500)
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    Costantino, Marco Fabio (55499164600)
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    Massa, Laura (7004628502)
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    Dekleva, Milica (56194369000)
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    Chaves, Daniel Quesada (57218502925)
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    Trambaiolo, Paolo (6602701604)
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    Citro, Rodolfo (15921921800)
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    Colonna, Paolo (57221823607)
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    Rigo, Fausto (6701803166)
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    Torres, Marco A.R. (7402581476)
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    Monte, Ines (55884115100)
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    Stankovic, Ivan (57197589922)
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    Neskovic, Aleksander (35597744900)
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    Cortigiani, Lauro (55663049600)
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    Re, Federica (57210067725)
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    Dodi, Claudio (6602478787)
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    D'Andrea, Antonello (55612687400)
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    Villari, Bruno (6701632106)
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    Arystan, Ayana (57095004800)
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    De Nes, Michele (6507042094)
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    Carpeggiani, Clara (7003751506)
    Background The trial “Stress Echo (SE) 2020” evaluates novel applications of SE beyond coronary artery disease. The aim of the study was control quality and harmonize reading criteria. Methods One reader from 78 centers of the SE 2020 network asked for credentials to read a set of 20 SE video-clips selected by the core lab. All aspiring centers met the pre-requisite of high-volume and the years of experience in SE ranged from 5 to 31 years (mean value 18 years). The diagnostic gold standard was a reading by the core lab. The a priori determined pass threshold was 18/20 (≥ 90%). Results Of the initial 78 who started, 57 completed the first attempt: individual readers' score on first attempt ranged from 07/20 to 20/20 (accuracy from 35% to 100%, mean 78.7 ± 13%) and 44 readers passed it. There was a very poor correlation between years of experience and the reader's score on first attempt (r = − 0.161, p = 0.231). Of the 13 readers who failed the first attempt, 12 took it again after the web-based session and their accuracy improved (74% vs. 96%, p < 0.001). The kappa inter-observer agreement before and after web-based training was 0.59 on first attempt and rose to 0.91 on the last attempt. Conclusions In SE reading, the volume of activity or years of experience is not synonymous with diagnostic quality. Qualitative analysis and operator-dependence can become a limiting weakness in clinical practice, in the absence of strict pathways of learning, credentialing and audit. © 2017 Elsevier B.V.
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    Stress echo 2030: The novel ABCDE-(FGLPR) protocol to define the future of imaging
    (2021)
    Picano, Eugenio (7102408994)
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    Ciampi, Quirino (6602299243)
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    Cortigiani, Lauro (55663049600)
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    Arruda-Olson, Adelaide M. (6506472111)
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    Borguezan-Daros, Clarissa (57192979152)
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    Pretto, José Luis De Castro E Silva (6508318426)
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    Cocchia, Rosangela (16834672700)
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    Bossone, Eduardo (55238465000)
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    Merli, Elisa (6701858723)
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    Kane, Garvan C. (23488717700)
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    Varga, Albert (7102315827)
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    Agoston, Gergely (55206815100)
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    Scali, Maria Chiara (55929478400)
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    Morrone, Doralisa (36478990700)
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    Simova, Iana (23391267500)
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    Samardjieva, Martina (57237410300)
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    Boshchenko, Alla (6602887127)
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    Ryabova, Tamara (6701481228)
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    Vrublevsky, Alexander (6701757460)
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    Palinkas, Attila (6603576986)
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    Palinkas, Eszter D. (57236014400)
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    Sepp, Robert (6602492870)
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    Torres, Marco A. R. (7402581476)
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    Villarraga, Hector R. (6507642778)
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    Preradović, Tamara Kovačević (21743080300)
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    Citro, Rodolfo (15921921800)
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    Amor, Miguel (37066931100)
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    Mosto, Hugo (23485887100)
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    Salamè, Michael (57235732400)
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    Leeson, Paul (57198049926)
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    Mangia, Cristina (6603923582)
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    Tuttolomondo, Domenico (57205682070)
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    Prota, Costantina (55635036000)
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    Peteiro, Jesus (7003845482)
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    Van De Heyning, Caroline M. (12797752300)
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    D'Andrea, Antonello (55612687400)
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    Rigo, Fausto (6701803166)
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    Nikolic, Aleksandra (59432908700)
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    Ostojic, Miodrag (34572650500)
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    Lowenstein, Jorge (7103408229)
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    Arbucci, Rosina (57201675703)
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    Lowenstein Haber, Diego M. (56112672500)
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    Merlo, Pablo M. (57191339958)
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    Wierzbowska-Drabik, Karina (12772110800)
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    Kasprzak, Jaroslaw D. (35452933600)
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    Haberka, Maciej (22834420800)
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    Camarozano, Ana Cristina (14055534600)
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    Ratanasit, Nithima (56197693700)
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    Mori, Fabio (24290552500)
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    D'Alfonso, Maria Grazia (55959365300)
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    Tassetti, Luigi (57222370443)
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    Milazzo, Alessandra (57236578200)
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    Olivotto, Iacopo (7005289080)
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    Marchi, Alberto (57193310942)
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    Rodriguez-Zanella, Hugo (56109055800)
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    Zagatina, Angela (22939399700)
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    Padang, Ratnasari (10142460400)
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    Dekleva, Milica (56194369000)
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    Djordievic-Dikic, Ana (6505607127)
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    Boskovic, Nikola (6508290354)
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    Tesic, Milorad (36197477200)
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    Giga, Vojislav (55924460200)
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    Beleslin, Branko (6701355424)
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    Di Salvo, Giovanni (7003610825)
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    Lorenzoni, Valentina (57964799700)
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    Cameli, Matteo (36906722500)
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    Mandoli, Giulia Elena (57008235300)
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    Bombardini, Tonino (6701802597)
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    Caso, Pio (7004481540)
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    Celutkiene, Jelena (6507133552)
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    Barbieri, Andrea (56377673100)
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    Benfari, Giovanni (55503091000)
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    Bartolacelli, Ylenia (55856437300)
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    Malagoli, Alessandro (24481809700)
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    Bursi, Francesca (6506924671)
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    Mantovani, Francesca (36863798500)
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    Villari, Bruno (6701632106)
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    Russo, Antonello (57211507126)
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    De Nes, Michele (6507042094)
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    Carpeggiani, Clara (7003751506)
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    Monte, Ines (55884115100)
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    Re, Federica (57210067725)
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    Cotrim, Carlos (12767342300)
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    Bilardo, Giuseppe (21633568100)
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    Saad, Ariel K. (24068996600)
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    Karuzas, Arnas (57191692949)
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    Matuliaskas, Dovydas (57236301500)
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    Colonna, Paolo (57221823607)
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    Antonini-Canterin, Francesco (36811810300)
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    Pepi, Mauro (7006081973)
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    Pellikka, Patricia A. (7007042258)
    With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: The ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2-SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4-SE post-chest radiotherapy and chemotherapy (SERA); 5-Artificial intelligence SE evaluation (AI-SEE); 6-Environmental stress echocardiography and air pollution (ESTER); 7-SE in repaired Tetralogy of Fallot (SETOF); 8-SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10-SE for mitral ischemic regurgitation (SEMIR); 11-SE in valvular heart disease (SEVA); 12-SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021-2025)≥10,000 patients followed for≥5 years (up to 2030) from≥20 quality-controlled laboratories from≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time, and in any patient. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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    The Cardiomyopathy Registry of the EURObservational Research Programme of the European Society of Cardiology: Baseline data and contemporary management of adult patients with cardiomyopathies
    (2018)
    Charron, Philippe (57203044890)
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    Elliott, Perry M. (57202356433)
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    Gimeno, Juan R. (7005858968)
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    Caforio, Alida L.P. (7005166754)
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    Kaski, Juan Pablo (57222307669)
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    Tavazzi, Luigi (7102746954)
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    Tendera, Michal (7005482361)
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    Maupain, Carole (56196233700)
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    Laroche, Cécile (7102361087)
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    Rubis, Pawel (6506075572)
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    Jurcut, Ruxandra (25228919600)
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    Calò, Leonardo (7801512286)
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    Heliö, Tiina M. (6701447654)
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    Sinagra, Gianfranco (7005062509)
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    Zdravkovic, Marija (24924016800)
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    Kavoliuniene, Aušra (6505965667)
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    Felix, Stephan B. (57214768699)
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    Grzybowski, Jacek (7005545397)
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    Losi, Maria-Angela (7004061052)
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    Asselbergs, Folkert W. (57202567488)
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    García-Pinilla, José Manuel (59157660600)
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    Salazar-Mendiguchia, Joel (38362242900)
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    Mizia-Stec, Katarzyna (7003395992)
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    Maggioni, Aldo P. (57203255222)
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    Anastasakis, Aris (57211065509)
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    Biagini, Elena (7004460142)
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    Bilinska, Zofia (7004460321)
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    Castro, Francisco Jose (6602596036)
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    Celutkiene, Jelena (6507133552)
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    Chakova, Natalija (6507810295)
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    Chmielewski, Przemyslaw (57217753154)
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    Drago, Fabrizio (7101962434)
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    Frigy, Attila (59662805300)
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    Frustaci, Andrea (7004549957)
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    Garcia-Pavia, Pablo (57197883068)
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    Hinic, Sasa (55208518100)
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    Kindermann, Ingrid (6603127742)
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    Limongelli, Giuseppe (6603359014)
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    Medrano, Constancio (7004827904)
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    Monserrat, Lorenzo (6701492113)
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    Olusegun-Joseph, Akinsanya (57200819266)
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    Ripoll-Vera, Tomas (6506592218)
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    Lopes, Luis Rocha (9846194600)
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    Saad, Aly (56740147200)
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    Sala, Simone (35598475200)
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    Seferovic, Petar M. (6603594879)
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    Sepp, Robert (6602492870)
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    Urbano-Moral, Jose Angel (36953293300)
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    Villacorta, Eduardo (10141554400)
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    Wybraniec, Maciej (55370790400)
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    Yotti, Raquel (9533078000)
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    Zachara, Elisabetta (6603551403)
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    Zorio, Esther (6508200962)
    Aims The Cardiomyopathy Registry of the EURObservational Research Programme is a prospective, observational, and multinational registry of consecutive patients with four cardiomyopathy subtypes: Hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy (DCM), arrhythmogenic right ventricular cardiomyopathy (ARVC), and restrictive cardiomyopathy (RCM). We report the baseline characteristics and management of adults enrolled in the registry. Methods and results A total of 3208 patients were enrolled by 69 centres in 18 countries [HCM (n = 1739); DCM (n = 1260); ARVC (n = 143); and RCM (n = 66)]. Differences between cardiomyopathy subtypes (P < 0.001) were observed for age at diagnosis, history of familial disease, history of sustained ventricular arrhythmia, use of magnetic resonance imaging or genetic testing, and implantation of defibrillators. When compared with probands, relatives had a lower age at diagnosis (P < 0.001), but a similar rate of symptoms and defibrillators. When compared with the Long-Term phase, patients of the Pilot phase (enrolled in more expert centres) had a more frequent rate of familial disease (P < 0.001), were more frequently diagnosed with a rare underlying disease (P < 0.001), and more frequently implanted with a defibrillator (P = 0.023). Comparing four geographical areas, patients from Southern Europe had a familial disease more frequently (P < 0.001), were more frequently diagnosed in the context of a family screening (P < 0.001), and more frequently diagnosed with a rare underlying disease (P < 0.001). Conclusion By providing contemporary observational data on characteristics and management of patients with cardiomyopathies, the registry provides a platform for the evaluation of guideline implementation. Potential gaps with existing recommendations are discussed as well as some suggestions for improvement of health care provision in Europe. © The Author 2017.
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    The clinical use of stress echocardiography in chronic coronary syndromes and beyond coronary artery disease: A clinical consensus statement from the European Association of Cardiovascular Imaging of the ESC
    (2024)
    Picano, Eugenio (7102408994)
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    Pierard, Luc (57214710368)
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    Peteiro, Jesus (7003845482)
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    Djordjevic-Dikic, Ana (57003143600)
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    Sade, Leyla Elif (12808884600)
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    Cortigiani, Lauro (55663049600)
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    Van De Heyning, Caroline M (12797752300)
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    Celutkiene, Jelena (6507133552)
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    Gaibazzi, Nicola (6603190525)
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    Ciampi, Quirino (6602299243)
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    Senior, Roxy (55165129300)
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    Neskovic, Aleksandar N (35597744900)
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    Henein, Michael (7006300845)
    Since the 2009 publication of the stress echocardiography expert consensus of the European Association of Echocardiography, and after the 2016 advice of the American Society of Echocardiography-European Association of Cardiovascular Imaging for applications beyond coronary artery disease, new information has become available regarding stress echo. Until recently, the assessment of regional wall motion abnormality was the only universally practiced step of stress echo. In the state-of-the-art ABCDE protocol, regional wall motion abnormality remains the main step A, but at the same time, regional perfusion using ultrasound-contrast agents may be assessed. Diastolic function and pulmonary B-lines are assessed in step B; left ventricular contractile and preload reserve with volumetric echocardiography in step C; Doppler-based coronary flow velocity reserve in the left anterior descending coronary artery in step D; and ECG-based heart rate reserve in non-imaging step E. These five biomarkers converge, conceptually and methodologically, in the ABCDE protocol allowing comprehensive risk stratification of the vulnerable patient with chronic coronary syndromes. The present document summarizes current practice guidelines recommendations and training requirements and harmonizes the clinical guidelines of the European Society of Cardiology in many diverse cardiac conditions, from chronic coronary syndromes to valvular heart disease. The continuous refinement of imaging technology and the diffusion of ultrasound-contrast agents improve image quality, feasibility, and reader accuracy in assessing wall motion and perfusion, left ventricular volumes, and coronary flow velocity. Carotid imaging detects pre-obstructive atherosclerosis and improves risk prediction similarly to coronary atherosclerosis. The revolutionary impact of artificial intelligence on echocardiographic image acquisition and analysis makes stress echo more operator-independent and objective. Stress echo has unique features of low cost, versatility, and universal availability. It does not need ionizing radiation exposure and has near-zero carbon dioxide emissions. Stress echo is a convenient and sustainable choice for functional testing within and beyond coronary artery disease. © 2023 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology. All rights reserved.
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    The Heart Failure Association Atlas: Heart Failure Epidemiology and Management Statistics 2019
    (2021)
    Seferović, Petar M. (6603594879)
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    Vardas, Panagiotis (57206232389)
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    Jankowska, Ewa A. (21640520500)
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    Maggioni, Aldo P. (57203255222)
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    Timmis, Adam (7006508725)
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    Milinković, Ivan (51764040100)
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    Polovina, Marija (35273422300)
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    Gale, Chris P. (35837808000)
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    Lund, Lars H. (7102206508)
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    Lopatin, Yuri (6601956122)
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    Lainscak, Mitja (9739432000)
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    Savarese, Gianluigi (36189499900)
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    Huculeci, Radu (35344805500)
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    Kazakiewicz, Dzianis (57212803058)
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    Coats, Andrew J.S. (35395386900)
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    Berger, Rudolf (55697214700)
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    Jahangirov, Tofiq (8048714300)
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    Kurlianskaya, Alena (57195936081)
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    Troisfontaines, Pierre (7801598602)
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    Droogne, Walter (6603404035)
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    Hudic, Larisa Dizdarevic (57214805299)
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    Störk, Stefan (6603842450)
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    Parissis, John (7004855782)
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    Habon, Tamas (6603051363)
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    Gotsman, Israel (57203083288)
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    Weinstein, Jean-Marc (7201816859)
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    Ingimarsdottir, Inga Jona (53869112700)
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    Crowley, Jim (7202580077)
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    Skouri, Hadi (21934953600)
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    Jovanova, Silvana (16432657000)
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    Vataman, Eleonora (57991564100)
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    Cobac, Irina Pogorevici (57226379231)
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    Pol, Petra Van (57226388037)
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    Boer, Rudolf De (57226376137)
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    Lueder, Thomas von (57226378066)
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    Straburzynska-Migaj, Ewa (57206994261)
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    Moura, Brenda (6602544591)
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    Chioncel, Ovidiu (12769077100)
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    Fomin, Igor (7005059642)
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    Begrambekova, Julia (57215669147)
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    Mareev, Yuri (55673633100)
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    Goncalvesova, Eva (55940355200)
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    Pinilla, José Manuel Garcia (6602254491)
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    Lindmark, Krister (6603147424)
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    Mueller, Christian (58068181500)
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    Cavusoglu, Yuksel (7003632889)
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    Gardner, Roy (7401524087)
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    Voronkov, Leonid (6603737599)
    Aims: The Heart Failure Association (HFA) of the European Society of Cardiology (ESC) developed the HFA Atlas to provide a contemporary description of heart failure (HF) epidemiology, resources, reimbursement of guideline-directed medical therapy (GDMT) and activities of the National Heart Failure Societies (NHFS) in ESC member countries. Methods and results: The HFA Atlas survey was conducted in 2018–2019 in 42 ESC countries. The quality and completeness of source data varied across countries. The median incidence of HF was 3.20 [interquartile range (IQR) 2.66–4.17] cases per 1000 person-years, ranging from ≤2 in Italy and Denmark to >6 in Germany. The median HF prevalence was 17.20 (IQR 14.30–21) cases per 1000 people, ranging from ≤12 in Greece and Spain to >30 in Lithuania and Germany. The median number of HF hospitalizations was 2671 (IQR 1771–4317) per million people annually, ranging from <1000 in Latvia and North Macedonia to >6000 in Romania, Germany and Norway. The median length of hospital stay for an admission with HF was 8.50 (IQR 7.38–10) days. Diagnostic and management resources for HF varied, with high-income ESC member countries having substantially more resources compared with middle-income countries. The median number of hospitals with dedicated HF centres was 1.16 (IQR 0.51–2.97) per million people, ranging from <0.10 in Russian Federation and Ukraine to >7 in Norway and Italy. Nearly all countries reported full or partial reimbursement of standard GDMT, except ivabradine and sacubitril/valsartan. Almost all countries reported having NHFS or working groups and nearly half had HF patient organizations. Conclusions: The first report from the HFA Atlas has shown considerable heterogeneity in HF disease burden, the resources available for its management and data quality across ESC member countries. The findings emphasize the need for a systematic approach to the capture of HF statistics so that inequalities and improvements in care may be quantified and addressed. © 2021 European Society of Cardiology
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    The Heart Failure Association Atlas: rationale, objectives, and methods
    (2020)
    Seferović, Petar M. (6603594879)
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    Jankowska, Ewa (21640520500)
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    Coats, Andrew J.S. (35395386900)
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    Maggioni, Aldo P. (57203255222)
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    Lopatin, Yuri (6601956122)
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    Milinković, Ivan (51764040100)
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    Polovina, Marija (35273422300)
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    Lainščak, Mitja (9739432000)
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    Timmis, Adam (7006508725)
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    Huculeci, Radu (35344805500)
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    Vardas, Panos (57206232389)
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    Berger, Rudolf (55697214700)
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    Jahangirov, Tofiq (8048714300)
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    Kurlianskaya, Alena (57195936081)
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    Troisfontaines, Pierre (7801598602)
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    Droogne, Walter (6603404035)
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    Dizdarević Hudić, Larisa (26431864200)
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    Tokmakova, Mariya (55409365000)
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    Glavaš, Duška (15762332500)
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    Barberis, Vassilis (55890808700)
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    Spinar, Jindrich (55941877300)
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    Wolsk, Emil (36626530100)
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    Uuetoa, Tiina (36524214200)
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    Tolppanen, Heli (32668130000)
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    Damy, Thibaud (6506337417)
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    Kipiani, Zviad (57201421880)
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    Störk, Stefan (6603842450)
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    Keramida, Kalliopi (57202300032)
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    Habon, Tamas (6603051363)
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    Gotsman, Israel (57203083288)
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    Weinstein, Jean-Marc (7201816859)
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    Jona Ingimarsdottir, Inga (57215673069)
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    Crowley, Jim (7202580077)
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    Dalton, Barbra (57214795585)
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    Aspromonte, Nadia (6602892060)
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    Rakisheva, Amina (58038558000)
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    Mirrakhimov, Erkin (57216202888)
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    Kamzola, Ginta (56695275300)
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    Skouri, Hadi (21934953600)
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    Celutkiene, Jelena (6507133552)
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    Noppe, Stephanie (57194588406)
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    Jovanova, Silvana (16432657000)
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    Vataman, Eleonora (23476033300)
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    Pogorevici Cobac, Irina (57215657141)
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    Van Pol, Petra (6506579816)
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    de Boer, Rudolf A. (8572907800)
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    von Lueder, Thomas (16176815600)
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    Straburzyńska-Migaj, Ewa (57206994261)
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    Moura, Brenda (6602544591)
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    Chioncel, Ovidiu (12769077100)
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    Fomin, Igor (7005059642)
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    Begrambekova, Julia (57215669147)
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    Mareev, Yuri (55673633100)
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    Goncalvesova, Eva (55940355200)
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    Garcia Pinilla, José Manuel (59157660600)
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    Lindmark, Krister (6603147424)
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    Ruschitzka, Frank (7003359126)
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    Mueller, Christian (58068181500)
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    Cavusoglu, Yuksel (7003632889)
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    Gardner, Roy (7401524087)
    ;
    Voronkov, Leonid (6603737599)
    Heart failure (HF) constitutes the growing cardiovascular burden and the major public health issue, but comprehensive statistics on HF epidemiology and related management in Europe are missing. The Heart Failure Association (HFA) Atlas has been initiated in 2016 in order to close this gap, representing the continuity directly rooted in the European Society of Cardiology (ESC) Atlas of Cardiology. The major aim of the HFA Atlas is to establish a contemporary dataset on HF epidemiology, resources and reimbursement policies for HF management, organization of the National Heart Failure Societies (NHFS) and their major activities, including education and HF awareness. These data are gathered in collaboration with the network of NHFS of the ESC member and ESC affiliated countries. The dataset will be continuously improved and advanced based on the experience and enhanced understanding of data collection in the forthcoming years. This will enable revealing trends, disparities and gaps in knowledge on epidemiology and management of HF. Such data are highly needed by the clinicians of different specialties (aside from cardiologists and cardiac surgeons), researchers, healthcare policy makers, as well as HF patients and their caregivers. It will also allow to map the snapshot of realities in HF care, as well as to provide insights for evidence-based health care policy in contemporary management of HF. Such data will support the ESC/HFA efforts to improve HF management ant outcomes through stronger recommendations and calls for action. This will likely influence the allocation of funds for the prevention, treatment, education and research in HF. © 2020 European Society of Cardiology

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