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Browsing by Author "Severino, Sergio (7006690054)"

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    Publication
    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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    Publication
    Functional, Anatomical, and Prognostic Correlates of Coronary Flow Velocity Reserve During Stress Echocardiography
    (2019)
    Ciampi, Quirino (6602299243)
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    Zagatina, Angela (22939399700)
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    Cortigiani, Lauro (55663049600)
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    Gaibazzi, Nicola (6603190525)
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    Borguezan Daros, Clarissa (57192979152)
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    Zhuravskaya, Nadezhda (22939707600)
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    Wierzbowska-Drabik, Karina (12772110800)
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    Kasprzak, Jaroslaw D. (35452933600)
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    de Castro e Silva Pretto, José Luis (6508318426)
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    D'Andrea, Antonello (55612687400)
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    Djordjevic-Dikic, Ana (57003143600)
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    Monte, Ines (55884115100)
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    Simova, Iana (23391267500)
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    Boshchenko, Alla (6602887127)
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    Citro, Rodolfo (15921921800)
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    Amor, Miguel (37066931100)
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    Merlo, Pablo Martin (57191339958)
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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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    Scali, Maria Chiara (55929478400)
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    Vrublevsky, Alexander (6701757460)
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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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    Bossone, Eduardo (55238465000)
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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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    Carpeggiani, Clara (7003751506)
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    Lowenstein, Jorge (7103408229)
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    Gregori, Dario (7003412314)
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    Picano, Eugenio (7102408994)
    Background: The assessment of coronary flow velocity reserve (CFVR) in left anterior descending coronary artery (LAD) expands the risk stratification potential of stress echocardiography (SE) based on stress-induced regional wall motion abnormalities (RWMA). Objectives: The purpose of this study was to assess the feasibility and functional correlates of CFVR. Methods: This prospective, observational, multicenter study initially screened 3,410 patients (2,061 [60%] male; age 63 ± 11 years; ejection fraction 61 ± 9%) with known or suspected coronary artery disease and/or heart failure. All patients underwent SE (exercise, n = 1,288; vasodilator, n = 1,860; dobutamine, n = 262) based on new or worsening RWMA in 20 accredited laboratories of 8 countries. CFVR was calculated as the stress/rest ratio of diastolic peak flow velocity pulsed-Doppler assessment of LAD flow. A subset of 1,867 patients was followed up. Results: The success rate for CFVR on LAD was 3,002 of 3,410 (feasibility = 88%). Reduced (≤2.0) CFVR was found in 896 of 3,002 (30%) patients. At multivariable logistic regression analysis, inducible RWMA (odds ratio [OR]: 6.5; 95% confidence interval [CI]: 4.9 to 8.5; p < 0.01), abnormal left ventricular contractile reserve (OR: 3.4; 95% CI: 2.7 to 4.2; p < 0.01), and B-lines (OR: 1.5; 95% CI: 1.1 to 1.9; p = 0.01) were associated with reduced CFVR. During a median follow-up time of 16 months, 218 events occurred. RWMA (hazard ratio: 3.8; 95% CI: 2.3 to 6.3; p < 0.001) and reduced CFVR (hazard ratio: 1.5; 95% CI: 1.1 to 2.2; p = 0.009) were independently associated with adverse outcome. Conclusions: CFVR is feasible with all SE protocols. Reduced CFVR is often accompanied by RWMA, abnormal LVCR, and pulmonary congestion during stress, and shows independent value over RWMA in predicting an adverse outcome. © 2019 American College of Cardiology Foundation
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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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    Quality control of B-lines analysis in stress Echo 2020
    (2018)
    Scali, Maria Chiara (55929478400)
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    Ciampi, Quirino (6602299243)
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    Picano, Eugenio (7102408994)
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    Bossone, Eduardo (55238465000)
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    Ferrara, Francesco (57201099810)
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    Citro, Rodolfo (15921921800)
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    Colonna, Paolo (57221823607)
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    Costantino, Marco Fabio (55499164600)
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    Cortigiani, Lauro (55663049600)
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    Andrea, Antonello D'. (57203971767)
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    Severino, Sergio (7006690054)
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    Dodi, Claudio (6602478787)
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    Gaibazzi, Nicola (6603190525)
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    Galderisi, Maurizio (57203882101)
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    Barbieri, Andrea (56377673100)
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    Monte, Ines (55884115100)
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    Mori, Fabio (24290552500)
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    Reisenhofer, Barbara (6603491191)
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    Re, Federica (57210067725)
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    Rigo, Fausto (6701803166)
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    Trambaiolo, Paolo (6602701604)
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    Amor, Miguel (37066931100)
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    Lowenstein, Jorge (7103408229)
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    Merlo, Pablo Martin (57191339958)
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    Daros, Clarissa Borguezan (57192979152)
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    De Castro E Silva Pretto, José Luis (6508318426)
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    Miglioranza, Marcelo Haertel (35956952500)
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    Torres, Marco A. R. (7402581476)
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    De Azevedo Bellagamba, Clarissa Carmona (57194341124)
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    Chaves, Daniel Quesada (57218502925)
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    Simova, Iana (23391267500)
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    Varga, Albert (7102315827)
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    Čelutkiene, Jelena (6507133552)
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    Kasprzak, Jaroslaw D. (35452933600)
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    Wierzbowska-Drabik, Karina (12772110800)
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    Lipiec, Piotr (6602351463)
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    Weiner-Mik, Paulina (6603038461)
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    Szymczyk, Eva (25121768000)
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    Wdowiak-Okrojek, Katarzyna (44261600800)
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    Djordjevic-Dikic, Ana (57003143600)
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    Dekleva, Milica (56194369000)
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    Stankovic, Ivan (57197589922)
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    Neskovic, Aleksandar N. (35597744900)
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    Zagatina, Angela (22939399700)
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    Di Salvo, Giovanni (7003610825)
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    Perez, Julio E. (7403417846)
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    Camarozano, Ana Cristina (14055534600)
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    Corciu, Anca Irina (26024616600)
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    Boshchenko, Alla (6602887127)
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    Lattanzi, Fabio (7005850087)
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    Cotrim, Carlos (12767342300)
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    Fazendas, Paula (6602151601)
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    Haberka, Maciej (22834420800)
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    Sobkowic, Bozena (57203972291)
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    Kosmala, Wojciech (7004641258)
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    Witkowski, Tomasz (7003737196)
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    Gosciniak, Piotr (6507268076)
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    Salustri, Alessandro (36943779100)
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    Rodriguez-Zanella, Hugo (56109055800)
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    Leal, Luis Ignacio Martin (57203967299)
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    Nikolic, Alexandra (59432908700)
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    Gligorova, Suzana (11840443000)
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    Urluescu, Madalina-Loredana (57203972404)
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    Fiorino, Maria (56368246800)
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    Novo, Giuseppina (56962711700)
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    Preradovic-Kovacevic, Tamara (59158416100)
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    Ostojic, Miodrag (34572650500)
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    Beleslin, Branko (6701355424)
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    Villari, Bruno (6701632106)
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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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    Andreassi, Maria Grazia (7004571465)
    Background: The effectiveness trial "Stress echo (SE) 2020" evaluates novel applications of SE in and beyond coronary artery disease. The core protocol also includes 4-site simplified scan of B-lines by lung ultrasound, useful to assess pulmonary congestion. Purpose: To provide web-based upstream quality control and harmonization of B-lines reading criteria. Methods: 60 readers (all previously accredited for regional wall motion, 53 B-lines naive) from 52 centers of 16 countries of SE 2020 network read a set of 20 lung ultrasound video-clips selected by the Pisa lab serving as reference standard, after taking an obligatory web-based learning 2-h module (http://se2020.altervista.org). Each test clip was scored for B-lines from 0 (black lung, A-lines, no B-lines) to 10 (white lung, coalescing B-lines). The diagnostic gold standard was the concordant assessment of two experienced readers of the Pisa lab. The answer of the reader was considered correct if concordant with reference standard reading ±1 (for instance, reference standard reading of 5 B-lines; correct answer 4, 5, or 6). The a priori determined pass threshold was 18/20 (≥ 90%) with R value (intra-class correlation coefficient) between reference standard and recruiting center) > 0.90. Inter-observer agreement was assessed with intra-class correlation coefficient statistics. Results: All 60 readers were successfully accredited: 26 (43%) on first, 24 (40%) on second, and 10 (17%) on third attempt. The average diagnostic accuracy of the 60 accredited readers was 95%, with R value of 0.95 compared to reference standard reading. The 53 B-lines naive scored similarly to the 7 B-lines expert on first attempt (90 versus 95%, p = NS). Compared to the step-1 of quality control for regional wall motion abnormalities, the mean reading time per attempt was shorter (17 ± 3 vs 29 ± 12 min, p <.01), the first attempt success rate was higher (43 vs 28%, p < 0.01), and the drop-out of readers smaller (0 vs 28%, p <.01). Conclusions: Web-based learning is highly effective for teaching and harmonizing B-lines reading. Echocardiographers without previous experience with B-lines learn quickly. © 2018 The Author(s).
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    Publication
    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)
    ;
    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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    Publication
    Stress echo 2020: The international stress echo study in ischemic and non-ischemic heart disease
    (2017)
    Picano, Eugenio (7102408994)
    ;
    Ciampi, Quirino (6602299243)
    ;
    Citro, Rodolfo (15921921800)
    ;
    D'Andrea, Antonello (55612687400)
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    Scali, Maria Chiara (55929478400)
    ;
    Cortigiani, Lauro (55663049600)
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    Olivotto, Iacopo (7005289080)
    ;
    Mori, Fabio (24290552500)
    ;
    Galderisi, Maurizio (7005866296)
    ;
    Costantino, Marco Fabio (55499164600)
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    Pratali, Lorenza (6603105724)
    ;
    Di Salvo, Giovanni (7003610825)
    ;
    Bossone, Eduardo (55238465000)
    ;
    Ferrara, Francesco (57201099810)
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    Gargani, Luna (23012323000)
    ;
    Rigo, Fausto (6701803166)
    ;
    Gaibazzi, Nicola (6603190525)
    ;
    Limongelli, Giuseppe (6603359014)
    ;
    Pacileo, Giuseppe (57191394295)
    ;
    Andreassi, Maria Grazia (7004571465)
    ;
    Pinamonti, Bruno (7003658423)
    ;
    Massa, Laura (7004628502)
    ;
    Torres, Marco A. R. (7402581476)
    ;
    Miglioranza, Marcelo H. (35956952500)
    ;
    Daros, Clarissa Borguezan (57192979152)
    ;
    De Castro E Silva Pretto, José Luis (6508318426)
    ;
    Beleslin, Branko (6701355424)
    ;
    Djordjevic-Dikic, Ana (57003143600)
    ;
    Varga, Albert (7102315827)
    ;
    Palinkas, Attila (6603576986)
    ;
    Agoston, Gergely (55206815100)
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    Gregori, Dario (7003412314)
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    Trambaiolo, Paolo (6602701604)
    ;
    Severino, Sergio (7006690054)
    ;
    Arystan, Ayana (57095004800)
    ;
    Paterni, Marco (7003660393)
    ;
    Carpeggiani, Clara (7003751506)
    ;
    Colonna, Paolo (57221823607)
    Background: Stress echocardiography (SE) has an established role in evidence-based guidelines, but recently its breadth and variety of applications have extended well beyond coronary artery disease (CAD). We lack a prospective research study of SE applications, in and beyond CAD, also considering a variety of signs in addition to regional wall motion abnormalities. Methods: In a prospective, multicenter, international, observational study design, > 100 certified high-volume SE labs (initially from Italy, Brazil, Hungary, and Serbia) will be networked with an organized system of clinical, laboratory and imaging data collection at the time of physical or pharmacological SE, with structured follow-up information. The study is endorsed by the Italian Society of Cardiovascular Echography and organized in 10 subprojects focusing on: contractile reserve for prediction of cardiac resynchronization or medical therapy response; stress B-lines in heart failure; hypertrophic cardiomyopathy; heart failure with preserved ejection fraction; mitral regurgitation after either transcatheter or surgical aortic valve replacement; outdoor SE in extreme physiology; right ventricular contractile reserve in repaired Tetralogy of Fallot; suspected or initial pulmonary arterial hypertension; coronary flow velocity, left ventricular elastance reserve and B-lines in known or suspected CAD; identification of subclinical familial disease in genotype-positive, phenotype- negative healthy relatives of inherited disease (such as hypertrophic cardiomyopathy). Results: We expect to recruit about 10,000 patients over a 5-year period (2016-2020), with sample sizes ranging from 5,000 for coronary flow velocity/ left ventricular elastance/ B-lines in CAD to around 250 for hypertrophic cardiomyopathy or repaired Tetralogy of Fallot. This data-base will allow to investigate technical questions such as feasibility and reproducibility of various SE parameters and to assess their prognostic value in different clinical scenarios. Conclusions: The study will create the cultural, informatic and scientific infrastructure connecting high-volume, accredited SE labs, sharing common criteria of indication, execution, reporting and image storage of SE to obtain original safety, feasibility, and outcome data in evidence-poor diagnostic fields, also outside the established core application of SE in CAD based on regional wall motion abnormalities. The study will standardize procedures, validate emerging signs, and integrate the new information with established knowledge, helping to build a next-generation SE lab without inner walls. © 2017 The Author(s).

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