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8. Heart transplantation and biomarkers : a review about their usefulness in clinical practice

Author

Martini, L., Mandoli, G.E., Pastore, M.C., Pagliaro, A., Bernazzali, S., Maccherini, M., Henein, Michael Y., Cameli, M., Martini, L., Mandoli, G.E., Pastore, M.C., Pagliaro, A., Bernazzali, S., Maccherini, M., Henein, Michael Y., and Cameli, M.

Abstract

Advanced heart failure (AdvHF) can only be treated definitively by heart transplantation (HTx), yet problems such right ventricle dysfunction (RVD), rejection, cardiac allograft vasculopathy (CAV), and primary graft dysfunction (PGD) are linked to a poor prognosis. As a result, numerous biomarkers have been investigated in an effort to identify and prevent certain diseases sooner. We looked at both established biomarkers, such as NT-proBNP, hs-troponins, and pro-inflammatory cytokines, and newer ones, such as extracellular vesicles (EVs), donor specific antibodies (DSA), gene expression profile (GEP), donor-derived cell free DNA (dd-cfDNA), microRNA (miRNA), and soluble suppression of tumorigenicity 2 (sST2). These biomarkers are typically linked to complications from HTX. We also highlight the relationships between each biomarker and one or more problems, as well as their applicability in routine clinical practice.

Published
2024
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11. ACUTE HF score predicts in-hospital mortality in patients with acute heart failure

Author

Pastore, M C, primary, Mandoli, G E, additional, Campora, A, additional, Renzelli, A, additional, Olivoni, G, additional, Toscano, M, additional, Pavoncelli, S, additional, Delcuratolo, E, additional, Lambardi, M, additional, Morrone, F, additional, Cavigli, L, additional, Focardi, M, additional, D'ascenzi, F, additional, Valente, S, additional, and Cameli, M, additional

Published
2023
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12. Multicentre observational registry of patients hospitalized for heart failure and real-life adherence to international guidelines (REAL-HF): first two years (2020-2021) experience

Author

Sanna, G, primary, Guerra, F, additional, Cadeddu Dessalvi, C, additional, Pastore, M C, additional, Marini, A, additional, Mandoli, G E, additional, Gironella, P, additional, Costamagna, M, additional, Campora, A, additional, Sambenedetto, M, additional, Nepitella, A, additional, Casiraghi, M, additional, Erre, G L, additional, Casu, G, additional, and Cameli, M, additional

Published
2023
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14. Echocardiographic reference ranges for non-invasive myocardial work indices in heart transplant patients

Author

Landra, F, primary, Martini, L, additional, Tanzi, L, additional, Fusi, C, additional, Barilli, M, additional, Sciaccaluga, C, additional, Diviggiano, E, additional, Focardi, M, additional, D'ascenzi, F, additional, Bernazzali, S, additional, Maccherini, M, additional, Valente, S, additional, Cameli, M, additional, and Mandoli, G E, additional

Published
2023
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16. Diagnostic pathways to wild-type transthyretin amyloid cardiomyopathy: a multicentre network study

Author

Tini, G, Milani, P, Zampieri, M, Caponetti, A, Fabris, F, Foli, A, Argiro, A, Mazzoni, C, Gagliardi, C, Longhi, S, Saturi, G, Vergaro, G, Aimo, A, Russo, D, Varra, G, Serenelli, M, Fabbri, G, De Michieli, L, Palmiero, G, Ciliberti, G, Carigi, S, Sessarego, E, Mandoli, G, Ricci Lucchi, G, Rella, V, Monti, E, Gardini, E, Bartolotti, M, Crotti, L, Merli, E, Mussinelli, R, Vianello, P, Cameli, M, Marzo, F, Guerra, F, Limongelli, G, Cipriani, A, Perlini, S, Obici, L, Perfetto, F, Autore, C, Porto, I, Rapezzi, C, Sinagra, G, Merlo, M, Musumeci, B, Emdin, M, Biagini, E, Cappelli, F, Palladini, G, Canepa, M, Tini G., Milani P., Zampieri M., Caponetti A. G., Fabris F., Foli A., Argiro A., Mazzoni C., Gagliardi C., Longhi S., Saturi G., Vergaro G., Aimo A., Russo D., Varra G. G., Serenelli M., Fabbri G., De Michieli L., Palmiero G., Ciliberti G., Carigi S., Sessarego E., Mandoli G. E., Ricci Lucchi G., Rella V., Monti E., Gardini E., Bartolotti M., Crotti L., Merli E., Mussinelli R., Vianello P. F., Cameli M., Marzo F., Guerra F., Limongelli G., Cipriani A., Perlini S., Obici L., Perfetto F., Autore C., Porto I., Rapezzi C., Sinagra G., Merlo M., Musumeci B., Emdin M., Biagini E., Cappelli F., Palladini G., Canepa M., Tini, G, Milani, P, Zampieri, M, Caponetti, A, Fabris, F, Foli, A, Argiro, A, Mazzoni, C, Gagliardi, C, Longhi, S, Saturi, G, Vergaro, G, Aimo, A, Russo, D, Varra, G, Serenelli, M, Fabbri, G, De Michieli, L, Palmiero, G, Ciliberti, G, Carigi, S, Sessarego, E, Mandoli, G, Ricci Lucchi, G, Rella, V, Monti, E, Gardini, E, Bartolotti, M, Crotti, L, Merli, E, Mussinelli, R, Vianello, P, Cameli, M, Marzo, F, Guerra, F, Limongelli, G, Cipriani, A, Perlini, S, Obici, L, Perfetto, F, Autore, C, Porto, I, Rapezzi, C, Sinagra, G, Merlo, M, Musumeci, B, Emdin, M, Biagini, E, Cappelli, F, Palladini, G, Canepa, M, Tini G., Milani P., Zampieri M., Caponetti A. G., Fabris F., Foli A., Argiro A., Mazzoni C., Gagliardi C., Longhi S., Saturi G., Vergaro G., Aimo A., Russo D., Varra G. G., Serenelli M., Fabbri G., De Michieli L., Palmiero G., Ciliberti G., Carigi S., Sessarego E., Mandoli G. E., Ricci Lucchi G., Rella V., Monti E., Gardini E., Bartolotti M., Crotti L., Merli E., Mussinelli R., Vianello P. F., Cameli M., Marzo F., Guerra F., Limongelli G., Cipriani A., Perlini S., Obici L., Perfetto F., Autore C., Porto I., Rapezzi C., Sinagra G., Merlo M., Musumeci B., Emdin M., Biagini E., Cappelli F., Palladini G., and Canepa M.

Abstract

Aim: Epidemiology of wild-type transthyretin cardiac amyloidosis (ATTRwt-CA) remains poorly defined. A better characterization of pathways leading to ATTRwt-CA diagnosis is of key importance, and potentially informative of disease course and prognosis. The aim of this study was to describe the characteristics of contemporary pathways leading to ATTRwt-CA diagnosis, and their potential association with survival. Methods and results: This was a retrospective study of patients diagnosed with ATTRwt-CA at 17 Italian referral centres for CA. Patients were categorized into different ‘pathways’ according to the medical reason that triggered the diagnosis of ATTRwt-CA (hypertrophic cardiomyopathy [HCM] pathway, heart failure [HF] pathway, incidental imaging or incidental clinical pathway). Prognosis was investigated with all-cause mortality as endpoint. Overall, 1281 ATTRwt-CA patients were included in the study. The diagnostic pathway leading to ATTRwt-CA diagnosis was HCM in 7% of patients, HF in 51%, incidental imaging in 23%, incidental clinical in 19%. Patients in the HF pathway, as compared to the others, were older and had a greater prevalence of New York Heart Association (NYHA) class III–IV and chronic kidney disease. Survival was significantly worse in the HF versus other pathways, but similar among the three others. In multivariate model, older age at diagnosis, NYHA class III–IV and some comorbidities but not the HF pathway were independently associated with worse survival. Conclusions: Half of contemporary ATTRwt-CA diagnoses occur in a HF setting. These patients had worse clinical profile and outcome than those diagnosed either due to suspected HCM or incidentally, although prognosis remained primarily related to age, NYHA functional class and comorbidities rather than the diagnostic pathway itself.

Published
2023

17. ECG/echo indexes in the diagnostic approach to amyloid cardiomyopathy: A head-to-head comparison from the AC-TIVE study

Author

Pagura, L, Porcari, A, Cameli, M, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Pavasini, R, Limongelli, G, Perlini, S, Metra, M, Boriani, G, Emdin, M, Sinagra, G, Merlo, M, Longo, F, Rossi, M, Varrà, G, Saro, R, Dore, F, Girardi, F, Vergaro, G, Musumeci, B, Autore, C, Cappelli, F, Perfetto, F, Olivotto, I, Favale, S, Carella, M, Guaricci, A, Ciccone, M, Di Bella, G, Tomasoni, D, Rella, V, Branzi, G, Badano, L, Parati, G, Palmiero, G, Caiazza, M, Caponetti, A, Saturi, G, Labate, M, Andreis, A, Paneva, E, De Ferrari, G, Di Ienno, L, De Carli, G, Giacomin, E, Arzilli, C, Pagura L., Porcari A., Cameli M., Biagini E., Canepa M., Crotti L., Imazio M., Forleo C., Pavasini R., Limongelli G., Perlini S., Metra M., Boriani G., Emdin M., Sinagra G., Merlo M., Longo F., Rossi M., Varrà G. G., Saro R., Dore F., Girardi F., Vergaro G., Musumeci B., Autore C., Cappelli F., Perfetto F., Olivotto I., Favale S., Carella M. C., Guaricci A. I., Ciccone M. M., Di Bella G., Tomasoni D., Rella V., Branzi G., Badano L., Parati G., Palmiero G., Caiazza M., Caponetti A. G., Saturi G., Labate M. E., Andreis A., Paneva E., De Ferrari G. M., Di Ienno L., De Carli G., Giacomin E., Arzilli C., Pagura, L, Porcari, A, Cameli, M, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Pavasini, R, Limongelli, G, Perlini, S, Metra, M, Boriani, G, Emdin, M, Sinagra, G, Merlo, M, Longo, F, Rossi, M, Varrà, G, Saro, R, Dore, F, Girardi, F, Vergaro, G, Musumeci, B, Autore, C, Cappelli, F, Perfetto, F, Olivotto, I, Favale, S, Carella, M, Guaricci, A, Ciccone, M, Di Bella, G, Tomasoni, D, Rella, V, Branzi, G, Badano, L, Parati, G, Palmiero, G, Caiazza, M, Caponetti, A, Saturi, G, Labate, M, Andreis, A, Paneva, E, De Ferrari, G, Di Ienno, L, De Carli, G, Giacomin, E, Arzilli, C, Pagura L., Porcari A., Cameli M., Biagini E., Canepa M., Crotti L., Imazio M., Forleo C., Pavasini R., Limongelli G., Perlini S., Metra M., Boriani G., Emdin M., Sinagra G., Merlo M., Longo F., Rossi M., Varrà G. G., Saro R., Dore F., Girardi F., Vergaro G., Musumeci B., Autore C., Cappelli F., Perfetto F., Olivotto I., Favale S., Carella M. C., Guaricci A. I., Ciccone M. M., Di Bella G., Tomasoni D., Rella V., Branzi G., Badano L., Parati G., Palmiero G., Caiazza M., Caponetti A. G., Saturi G., Labate M. E., Andreis A., Paneva E., De Ferrari G. M., Di Ienno L., De Carli G., Giacomin E., and Arzilli C.

Abstract

Background and aims: The discordance between QRS voltages on electrocardiogram (ECG) and left ventricle (LV) wall thickness (LVWT) on echocardiogram (echo) is a recognized red flag (RF) of amyloid cardiomyopathy (AC) and can be measured by specific indexes. No head-to-head comparison of different ECG/echo indexes among subjects with echocardiographic suspicion of AC has yet been undertaken. The study aimed at evaluating the performance and the incremental diagnostic value of different ECG/echo indexes in this subset of patients. Methods: Electrocardiograms of subjects with LV hypertrophy, preserved ejection fraction and ≥ 1 echocardiographic RF of AC participating in the AC-TIVE study, an Italian prospective multicenter study, were independently analyzed by two cardiologists. Low QRS voltages and 8 different ECG/echo indexes were evaluated. Cohort specific cut-offs were computed. Results: Among 170 patients, 55 (32 %) were diagnosed with AC. Combination of low QRS voltages with interventricular septum ≥ 1,6 cm was the most specific (specificity 100 %, positive predictive value 100 %) ECG/echo index, while the ratio between the sum of all QRS voltages and LVWT <7,8 was the most sensitive and accurate (sensitivity 94 %, negative predictive value 97 %, accuracy 82 %). When the latter index was added to a model using easily-accessible clinical variables, the diagnostic accuracy for AC greatly increased (AUC from 0,84 to 0,95; p = 0,007). Conclusions: Among patients with non-dilated hypertrophic ventricles with normal ejection fraction and echocardiographic RF of AC, easily-measurable ECG/echo indexes, mainly when added to few clinical variables, can help the physician orient second level investigations. External validation of the results is warranted.

Published
2023

18. Organization and Activity of Italian Echocardiographic Laboratories: A Survey of the Italian Society of Echocardiography and Cardiovascular Imaging

Author

Ciampi, Q, Pepi, M, Antonini-Canterin, F, Barbieri, A, Barchitta, A, Faganello, G, Miceli, S, Parato, V, Tota, A, Trocino, G, Abbate, M, Accadia, M, Alemanni, R, Angelini, A, Anglano, F, Anselmi, M, Aquila, I, Aramu, S, Avogadri, E, Azzaro, G, Badano, L, Balducci, A, Ballocca, F, Barbarossa, A, Barbati, G, Barletta, V, Barone, D, Becherini, F, Benfari, G, Beraldi, M, Bergandi, G, Bilardo, G, Binno, S, Bolognesi, M, Bongiovi, S, Bragato, R, Braggion, G, Brancaleoni, R, Bursi, F, Dessalvi, C, Cameli, M, Canu, A, Capitelli, M, Capra, A, Carbonara, R, Carbone, M, Carbonella, M, Carrabba, N, Casavecchia, G, Casula, M, Chesi, E, Cicco, S, Citro, R, Cocchia, R, Colombo, B, Colonna, P, Conte, M, Corrado, G, Cortesi, P, Cortigiani, L, Costantino, M, Cozza, F, Cucchini, U, D'Angelo, M, Ros, S, D'Andrea, F, D'Andrea, A, D'Auria, F, De Caridi, G, De Feo, S, De Matteis, G, De Vecchi, S, Del Giudice, C, Dell'Angela, L, Delli Paoli, L, Dentamaro, I, Destefanis, P, Di Fulvio, M, Di Gaetano, R, Di Giannuario, G, Di Gioia, A, Di Martino, L, Di Muro, C, Di Nora, C, Di Salvo, G, Dodi, C, Dogliani, S, Donati, F, Dottori, M, Epifani, G, Fabiani, I, Ferrara, F, Ferrara, L, Ferrua, S, Filice, G, Fiorino, M, Forno, D, Garini, A, Giarratana, G, Gigantino, G, Giorgi, M, Giubertoni, E, Greco, C, Grigolato, M, Marra, W, Holzl, A, Iaiza, A, Iannaccone, A, Ilardi, F, Imbalzano, E, Inciardi, R, Inserra, C, Iori, E, Izzo, A, La Rosa, G, Labanti, G, Lanzone, A, Lanzoni, L, Lapetina, O, Leiballi, E, Librera, M, Lo Conte, C, Lo Monaco, M, Lombardo, A, Luciani, M, Lusardi, P, Magnante, A, Malagoli, A, Malatesta, G, Mancusi, C, Manes, M, Manganelli, F, Mantovani, F, Manuppelli, V, Marchese, V, Marinacci, L, Mattioli, R, Maurizio, C, Mazza, G, Mazza, S, Melis, M, Meloni, G, Merli, E, Milan, A, Minardi, G, Monaco, A, Monte, I, Montresor, G, Moreo, A, Mori, F, Morini, S, Moro, C, Morrone, D, Negri, F, Nipote, C, Nisi, F, Nocco, S, Novello, L, Nunziata, L, Perini, A, Parodi, A, Pasanisi, E, Pastorini, G, Pavasini, R, Pavoni, D, Pedone, C, Pelliccia, F, Pelliciari, G, Pelloni, E, Pergola, V, Perillo, G, Petruccelli, E, Pezzullo, C, Piacentini, G, Picardi, E, Pinna, G, Pizzarelli, M, Pizzuti, A, Poggi, M, Posteraro, A, Privitera, C, Rampazzo, D, Ratti, C, Rettegno, S, Ricci, F, Ricci, C, Rolando, C, Rossi, S, Rovera, C, Ruggieri, R, Russo, M, Sacchi, N, Saladino, A, Sani, F, Sartori, C, Scarabeo, V, Sciacqua, A, Scillone, A, Scopelliti, P, Scorza, A, Scozzafava, A, Serafini, F, Serra, W, Severino, S, Simeone, B, Sirico, D, Solari, M, Spadaro, G, Stefani, L, Strangio, A, Surace, F, Tamborini, G, Tarquinio, N, Tassone, E, Tavarozzi, I, Tchana, B, Tedesco, G, Tinto, M, Torzillo, D, Totaro, A, Triolo, O, Troisi, F, Tusa, M, Vancheri, F, Varasano, V, Venezia, A, Vermi, A, Villari, B, Zampi, G, Zannoni, J, Zito, C, Zugaro, A, Di Bella, G, Carerj, S, Ciampi Q., Pepi M., Antonini-Canterin F., Barbieri A., Barchitta A., Faganello G., Miceli S., Parato V. M., Tota A., Trocino G., Abbate M., Accadia M., Alemanni R., Angelini A., Anglano F., Anselmi M., Aquila I., Aramu S., Avogadri E., Azzaro G., Badano L., Balducci A., Ballocca F., Barbarossa A., Barbati G., Barletta V., Barone D., Becherini F., Benfari G., Beraldi M., Bergandi G., Bilardo G., Binno S. M., Bolognesi M., Bongiovi S., Bragato R. M., Braggion G., Brancaleoni R., Bursi F., Dessalvi C. C., Cameli M., Canu A., Capitelli M., Capra A. C. M., Carbonara R., Carbone M., Carbonella M., Carrabba N., Casavecchia G., Casula M., Chesi E., Cicco S., Citro R., Cocchia R., Colombo B. M., Colonna P., Conte M., Corrado G., Cortesi P., Cortigiani L., Costantino M. F., Cozza F., Cucchini U., D'Angelo M., Ros S. D., D'Andrea F., D'Andrea A., D'Auria F., De Caridi G., De Feo S., De Matteis G. M., De Vecchi S., Del Giudice C., Dell'Angela L., Delli Paoli L., Dentamaro I., Destefanis P., Di Fulvio M., Di Gaetano R., Di Giannuario G., Di Gioia A., Di Martino L. F. M., Di Muro C., Di Nora C., Di Salvo G., Dodi C., Dogliani S., Donati F., Dottori M., Epifani G., Fabiani I., Ferrara F., Ferrara L., Ferrua S., Filice G., Fiorino M., Forno D., Garini A., Giarratana G. A., Gigantino G., Giorgi M., Giubertoni E., Greco C. A., Grigolato M., Marra W. G., Holzl A., Iaiza A., Iannaccone A., Ilardi F., Imbalzano E., Inciardi R., Inserra C. A., Iori E., Izzo A., La Rosa G., Labanti G., Lanzone A. M., Lanzoni L., Lapetina O., Leiballi E., Librera M., Lo Conte C., Lo Monaco M., Lombardo A., Luciani M., Lusardi P., Magnante A., Malagoli A., Malatesta G., Mancusi C., Manes M. T., Manganelli F., Mantovani F., Manuppelli V., Marchese V., Marinacci L., Mattioli R., Maurizio C., Mazza G. A., Mazza S., Melis M., Meloni G., Merli E., Milan A., Minardi G., Monaco A., Monte I., Montresor G., Moreo A., Mori F., Morini S., Moro C., Morrone D., Negri F., Nipote C., Nisi F., Nocco S., Novello L., Nunziata L., Perini A. P., Parodi A., Pasanisi E. M., Pastorini G., Pavasini R., Pavoni D., Pedone C., Pelliccia F., Pelliciari G., Pelloni E., Pergola V., Perillo G., Petruccelli E., Pezzullo C., Piacentini G., Picardi E., Pinna G., Pizzarelli M., Pizzuti A., Poggi M. M., Posteraro A., Privitera C., Rampazzo D., Ratti C., Rettegno S., Ricci F., Ricci C., Rolando C., Rossi S., Rovera C., Ruggieri R., Russo M. G., Sacchi N., Saladino A., Sani F., Sartori C., Scarabeo V., Sciacqua A., Scillone A., Scopelliti P. A., Scorza A., Scozzafava A., Serafini F., Serra W., Severino S., Simeone B., Sirico D., Solari M., Spadaro G. L., Stefani L., Strangio A., Surace F. C., Tamborini G., Tarquinio N., Tassone E. J., Tavarozzi I., Tchana B., Tedesco G., Tinto M., Torzillo D., Totaro A., Triolo O. F., Troisi F., Tusa M., Vancheri F., Varasano V., Venezia A., Vermi A. C., Villari B., Zampi G., Zannoni J., Zito C., Zugaro A., Di Bella G., Carerj S., Ciampi, Q, Pepi, M, Antonini-Canterin, F, Barbieri, A, Barchitta, A, Faganello, G, Miceli, S, Parato, V, Tota, A, Trocino, G, Abbate, M, Accadia, M, Alemanni, R, Angelini, A, Anglano, F, Anselmi, M, Aquila, I, Aramu, S, Avogadri, E, Azzaro, G, Badano, L, Balducci, A, Ballocca, F, Barbarossa, A, Barbati, G, Barletta, V, Barone, D, Becherini, F, Benfari, G, Beraldi, M, Bergandi, G, Bilardo, G, Binno, S, Bolognesi, M, Bongiovi, S, Bragato, R, Braggion, G, Brancaleoni, R, Bursi, F, Dessalvi, C, Cameli, M, Canu, A, Capitelli, M, Capra, A, Carbonara, R, Carbone, M, Carbonella, M, Carrabba, N, Casavecchia, G, Casula, M, Chesi, E, Cicco, S, Citro, R, Cocchia, R, Colombo, B, Colonna, P, Conte, M, Corrado, G, Cortesi, P, Cortigiani, L, Costantino, M, Cozza, F, Cucchini, U, D'Angelo, M, Ros, S, D'Andrea, F, D'Andrea, A, D'Auria, F, De Caridi, G, De Feo, S, De Matteis, G, De Vecchi, S, Del Giudice, C, Dell'Angela, L, Delli Paoli, L, Dentamaro, I, Destefanis, P, Di Fulvio, M, Di Gaetano, R, Di Giannuario, G, Di Gioia, A, Di Martino, L, Di Muro, C, Di Nora, C, Di Salvo, G, Dodi, C, Dogliani, S, Donati, F, Dottori, M, Epifani, G, Fabiani, I, Ferrara, F, Ferrara, L, Ferrua, S, Filice, G, Fiorino, M, Forno, D, Garini, A, Giarratana, G, Gigantino, G, Giorgi, M, Giubertoni, E, Greco, C, Grigolato, M, Marra, W, Holzl, A, Iaiza, A, Iannaccone, A, Ilardi, F, Imbalzano, E, Inciardi, R, Inserra, C, Iori, E, Izzo, A, La Rosa, G, Labanti, G, Lanzone, A, Lanzoni, L, Lapetina, O, Leiballi, E, Librera, M, Lo Conte, C, Lo Monaco, M, Lombardo, A, Luciani, M, Lusardi, P, Magnante, A, Malagoli, A, Malatesta, G, Mancusi, C, Manes, M, Manganelli, F, Mantovani, F, Manuppelli, V, Marchese, V, Marinacci, L, Mattioli, R, Maurizio, C, Mazza, G, Mazza, S, Melis, M, Meloni, G, Merli, E, Milan, A, Minardi, G, Monaco, A, Monte, I, Montresor, G, Moreo, A, Mori, F, Morini, S, Moro, C, Morrone, D, Negri, F, Nipote, C, Nisi, F, Nocco, S, Novello, L, Nunziata, L, Perini, A, Parodi, A, Pasanisi, E, Pastorini, G, Pavasini, R, Pavoni, D, Pedone, C, Pelliccia, F, Pelliciari, G, Pelloni, E, Pergola, V, Perillo, G, Petruccelli, E, Pezzullo, C, Piacentini, G, Picardi, E, Pinna, G, Pizzarelli, M, Pizzuti, A, Poggi, M, Posteraro, A, Privitera, C, Rampazzo, D, Ratti, C, Rettegno, S, Ricci, F, Ricci, C, Rolando, C, Rossi, S, Rovera, C, Ruggieri, R, Russo, M, Sacchi, N, Saladino, A, Sani, F, Sartori, C, Scarabeo, V, Sciacqua, A, Scillone, A, Scopelliti, P, Scorza, A, Scozzafava, A, Serafini, F, Serra, W, Severino, S, Simeone, B, Sirico, D, Solari, M, Spadaro, G, Stefani, L, Strangio, A, Surace, F, Tamborini, G, Tarquinio, N, Tassone, E, Tavarozzi, I, Tchana, B, Tedesco, G, Tinto, M, Torzillo, D, Totaro, A, Triolo, O, Troisi, F, Tusa, M, Vancheri, F, Varasano, V, Venezia, A, Vermi, A, Villari, B, Zampi, G, Zannoni, J, Zito, C, Zugaro, A, Di Bella, G, Carerj, S, Ciampi Q., Pepi M., Antonini-Canterin F., Barbieri A., Barchitta A., Faganello G., Miceli S., Parato V. M., Tota A., Trocino G., Abbate M., Accadia M., Alemanni R., Angelini A., Anglano F., Anselmi M., Aquila I., Aramu S., Avogadri E., Azzaro G., Badano L., Balducci A., Ballocca F., Barbarossa A., Barbati G., Barletta V., Barone D., Becherini F., Benfari G., Beraldi M., Bergandi G., Bilardo G., Binno S. M., Bolognesi M., Bongiovi S., Bragato R. M., Braggion G., Brancaleoni R., Bursi F., Dessalvi C. C., Cameli M., Canu A., Capitelli M., Capra A. C. M., Carbonara R., Carbone M., Carbonella M., Carrabba N., Casavecchia G., Casula M., Chesi E., Cicco S., Citro R., Cocchia R., Colombo B. M., Colonna P., Conte M., Corrado G., Cortesi P., Cortigiani L., Costantino M. F., Cozza F., Cucchini U., D'Angelo M., Ros S. D., D'Andrea F., D'Andrea A., D'Auria F., De Caridi G., De Feo S., De Matteis G. M., De Vecchi S., Del Giudice C., Dell'Angela L., Delli Paoli L., Dentamaro I., Destefanis P., Di Fulvio M., Di Gaetano R., Di Giannuario G., Di Gioia A., Di Martino L. F. M., Di Muro C., Di Nora C., Di Salvo G., Dodi C., Dogliani S., Donati F., Dottori M., Epifani G., Fabiani I., Ferrara F., Ferrara L., Ferrua S., Filice G., Fiorino M., Forno D., Garini A., Giarratana G. A., Gigantino G., Giorgi M., Giubertoni E., Greco C. A., Grigolato M., Marra W. G., Holzl A., Iaiza A., Iannaccone A., Ilardi F., Imbalzano E., Inciardi R., Inserra C. A., Iori E., Izzo A., La Rosa G., Labanti G., Lanzone A. M., Lanzoni L., Lapetina O., Leiballi E., Librera M., Lo Conte C., Lo Monaco M., Lombardo A., Luciani M., Lusardi P., Magnante A., Malagoli A., Malatesta G., Mancusi C., Manes M. T., Manganelli F., Mantovani F., Manuppelli V., Marchese V., Marinacci L., Mattioli R., Maurizio C., Mazza G. A., Mazza S., Melis M., Meloni G., Merli E., Milan A., Minardi G., Monaco A., Monte I., Montresor G., Moreo A., Mori F., Morini S., Moro C., Morrone D., Negri F., Nipote C., Nisi F., Nocco S., Novello L., Nunziata L., Perini A. P., Parodi A., Pasanisi E. M., Pastorini G., Pavasini R., Pavoni D., Pedone C., Pelliccia F., Pelliciari G., Pelloni E., Pergola V., Perillo G., Petruccelli E., Pezzullo C., Piacentini G., Picardi E., Pinna G., Pizzarelli M., Pizzuti A., Poggi M. M., Posteraro A., Privitera C., Rampazzo D., Ratti C., Rettegno S., Ricci F., Ricci C., Rolando C., Rossi S., Rovera C., Ruggieri R., Russo M. G., Sacchi N., Saladino A., Sani F., Sartori C., Scarabeo V., Sciacqua A., Scillone A., Scopelliti P. A., Scorza A., Scozzafava A., Serafini F., Serra W., Severino S., Simeone B., Sirico D., Solari M., Spadaro G. L., Stefani L., Strangio A., Surace F. C., Tamborini G., Tarquinio N., Tassone E. J., Tavarozzi I., Tchana B., Tedesco G., Tinto M., Torzillo D., Totaro A., Triolo O. F., Troisi F., Tusa M., Vancheri F., Varasano V., Venezia A., Vermi A. C., Villari B., Zampi G., Zannoni J., Zito C., Zugaro A., Di Bella G., and Carerj S.

Abstract

Background: The Italian Society of Echocardiography and Cardiovascular Imaging (SIECVI) conducted a national survey to understand better how different echocardiographic modalities are used and accessed in Italy. Methods: We analyzed echocardiography laboratory activities over a month (November 2022). Data were retrieved via an electronic survey based on a structured questionnaire, uploaded on the SIECVI website. Results: Data were obtained from 228 echocardiographic laboratories: 112 centers (49%) in the northern, 43 centers (19%) in the central, and 73 (32%) in the southern regions. During the month of observation, we collected 101,050 transthoracic echocardiography (TTE) examinations performed in all centers. As concern other modalities there were performed 5497 transesophageal echocardiography (TEE) examinations in 161/228 centers (71%); 4057 stress echocardiography (SE) examinations in 179/228 centers (79%); and examinations with ultrasound contrast agents (UCAs) in 151/228 centers (66%). We did not find significant regional variations between the different modalities. The usage of picture archiving and communication system (PACS) was significantly higher in the northern (84%) versus central (49%) and southern (45%) centers (P < 0.001). Lung ultrasound (LUS) was performed in 154 centers (66%), without difference between cardiology and noncardiology centers. The evaluation of left ventricular (LV) ejection fraction was evaluated mainly using the qualitative method in 223 centers (94%), occasionally with the Simpson method in 193 centers (85%), and with selective use of the three-dimensional (3D) method in only 23 centers (10%). 3D TTE was present in 137 centers (70%), and 3D TEE in all centers where TEE was done (71%). The assessment of LV diastolic function was done routinely in 80% of the centers. Right ventricular function was evaluated using tricuspid annular plane systolic excursion in all centers, using tricuspid valve annular systolic velocity by tissue

Published
2023

19. Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting

Author

Cabitza, F, Campagner, A, Natali, C, Parimbelli, E, Ronzio, L, Cameli, M, Cabitza F., Campagner A., Natali C., Parimbelli E., Ronzio L., Cameli M., Cabitza, F, Campagner, A, Natali, C, Parimbelli, E, Ronzio, L, Cameli, M, Cabitza F., Campagner A., Natali C., Parimbelli E., Ronzio L., and Cameli M.

Abstract

The emergence of black-box, subsymbolic, and statistical AI systems has motivated a rapid increase in the interest regarding explainable AI (XAI), which encompasses both inherently explainable techniques, as well as approaches to make black-box AI systems explainable to human decision makers. Rather than always making black boxes transparent, these approaches are at risk of painting the black boxes white, thus failing to provide a level of transparency that would increase the system’s usability and comprehensibility, or even at risk of generating new errors (i.e., white-box paradox). To address these usability-related issues, in this work we focus on the cognitive dimension of users’ perception of explanations and XAI systems. We investigated these perceptions in light of their relationship with users’ characteristics (e.g., expertise) through a questionnaire-based user study involved 44 cardiology residents and specialists in an AI-supported ECG reading task. Our results point to the relevance and correlation of the dimensions of trust, perceived quality of explanations, and tendency to defer the decision process to automation (i.e., technology dominance). This contribution calls for the evaluation of AI-based support systems from a human–AI interaction-oriented perspective, laying the ground for further investigation of XAI and its effects on decision making and user experience.

Published
2023

20. Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis

Author

Cabitza, F, Campagner, A, Ronzio, L, Cameli, M, Mandoli, G, Pastore, M, Sconfienza, L, Folgado, D, Barandas, M, Gamboa, H, Cabitza F., Campagner A., Ronzio L., Cameli M., Mandoli G. E., Pastore M. C., Sconfienza L. M., Folgado D., Barandas M., Gamboa H., Cabitza, F, Campagner, A, Ronzio, L, Cameli, M, Mandoli, G, Pastore, M, Sconfienza, L, Folgado, D, Barandas, M, Gamboa, H, Cabitza F., Campagner A., Ronzio L., Cameli M., Mandoli G. E., Pastore M. C., Sconfienza L. M., Folgado D., Barandas M., and Gamboa H.

Abstract

In this paper, we study human–AI collaboration protocols, a design-oriented construct aimed at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We applied this construct in two user studies involving 12 specialist radiologists (the knee MRI study) and 44 ECG readers of varying expertise (the ECG study), who evaluated 240 and 20 cases, respectively, in different collaboration configurations. We confirm the utility of AI support but find that XAI can be associated with a “white-box paradox”, producing a null or detrimental effect. We also find that the order of presentation matters: AI-first protocols are associated with higher diagnostic accuracy than human-first protocols, and with higher accuracy than both humans and AI alone. Our findings identify the best conditions for AI to augment human diagnostic skills, rather than trigger dysfunctional responses and cognitive biases that can undermine decision effectiveness.

Published
2023

21. Razionale e valore fondamentale della Rete Italiana integrata dell’Amiloidosi Cardiaca [Rationale and significance of the Italian Network for Cardiac Amyloidosis]

Author

Sinagra, G, Emdin, M, Merlo, M, Vergaro, G, Aimo, A, Biagini, E, Imazio, M, Porcari, A, Limongelli, G, Cipriani, A, Canepa, M, Musumeci, B, Cameli, M, Crotti, L, Di Bella, G, Di Lenarda, A, Cappelli, F, Chimenti, C, Obici, L, Iacoviello, M, Perlini, S, Pieroni, M, Metra, M, Oliva, F, Perrone Filardi, P, Colivicchi, F, Indolfi, C, Sinagra G., Emdin M., Merlo M., Vergaro G., Aimo A., Biagini E., Imazio M., Porcari A., Limongelli G., Cipriani A., Canepa M., Musumeci B., Cameli M., Crotti L., Di Bella G., Di Lenarda A., Cappelli F., Chimenti C., Obici L., Iacoviello M., Perlini S., Pieroni M., Metra M., Oliva F., Perrone Filardi P., Colivicchi F., Indolfi C., Sinagra, G, Emdin, M, Merlo, M, Vergaro, G, Aimo, A, Biagini, E, Imazio, M, Porcari, A, Limongelli, G, Cipriani, A, Canepa, M, Musumeci, B, Cameli, M, Crotti, L, Di Bella, G, Di Lenarda, A, Cappelli, F, Chimenti, C, Obici, L, Iacoviello, M, Perlini, S, Pieroni, M, Metra, M, Oliva, F, Perrone Filardi, P, Colivicchi, F, Indolfi, C, Sinagra G., Emdin M., Merlo M., Vergaro G., Aimo A., Biagini E., Imazio M., Porcari A., Limongelli G., Cipriani A., Canepa M., Musumeci B., Cameli M., Crotti L., Di Bella G., Di Lenarda A., Cappelli F., Chimenti C., Obici L., Iacoviello M., Perlini S., Pieroni M., Metra M., Oliva F., Perrone Filardi P., Colivicchi F., and Indolfi C.

Abstract

The perspective on amyloidosis has changed deeply over the last 10 years following major advances in diagnosis and treatment options, especially in cardiac amyloidosis. This intrinsically heterogeneous disease exposes to the risk of fragmentation of knowledge and requires the interaction among experts of different specialties and subspecialties. Suspicion of disease, timely recognition and confirmation of final diagnosis, prognostic stratification, clinical management and therapeutic strategies represent essential steps to be taken. Missing or delaying the diagnosis may have dramatic impact on patient outcome, as in the case of chemotherapy in unrecognized light-chain amyloidosis. Therefore, there is an urgent need for the foundation of an Italian Amyloidosis Network to deal with the challenges of this condition and orient clinical management at national and local levels. The present consensus document aims to provide the rationale and scopes of the Italian Amyloidosis Network, which has been conceived as an organizational framework for professionals managing patients with amyloidosis.

Published
2023

23. Effectiveness of 1-year treatment with long-acting formulation of aripiprazole, haloperidol, or paliperidone in patients with schizophrenia: retrospective study in a real-world clinical setting

Author

Di Lorenzo R, Ferri P, Cameli M, Rovesti S, and Piemonte C

Subjects
Paliperidone Palmitate once-monthly Haloperidol decanoate Aripiprazole prolonged release once-monthly Schizophrenia relapses and clinical course Long-acting treatment effectiveness. First generation antipsychotics Second generation antipsychotics, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429
Abstract

Rosaria Di Lorenzo,1 Paola Ferri,2 Michela Cameli,3 Sergio Rovesti,4 Chiara Piemonte5 1Psychiatric Intensive Treatment Facility, Department of Mental Health and Drug Abuse, AUSL Modena, Modena, Italy; 2Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; 3Private Accredited Psychiatric Hospital, Villa degli Ulivi, Caserta, Italy; 4Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy; 5Private Accredited Psychiatric Hospital, Villa Igea, Modena, Italy Background: Schizophrenia is a chronic mental illness that requires lifelong antipsychotic treatment. Therapy discontinuation, often due to poor adherence, increases the risk of relapses after both first and subsequent psychotic episodes. Long-acting injectable (LAI) antipsychotic drugs (APDs) have been introduced to increase therapeutic adherence, reducing blood-level variability compared to corresponding oral preparations. Purpose: To compare the effectiveness of three LAI-APDs: aripiprazole (Apr) prolonged release once monthly (OM) haloperidol decanoate (Hal-D) and paliperidone palmitate (PP-OM). Methods: We retrospectively collected data for all patients with schizophrenia or other psychoses (n=217) treated with the three LAI-APDs for the first time from January 1, 2012 to October 31, 2016: n=48 with Apr-OM, n=55 with Hal-D, and n=114 with PP-OM. After 6 and 12 months of LAI treatments, we assessed clinical and functioning improvement, urgent consultations, psychiatric hospitalizations, adverse effects, and dropout. We compared urgent consultations and psychiatric hospitalizations required by the same patient 6 and 12 months before and after LAI implementation. Data were statistically analyzed. Results: The three LAI groups differed significantly only for “need for economic support from social service” (more frequent in the Hal-D group) and “schizoaffective disorder” (prevalent in the Apr-OM group). Apr-OM was prescribed at the maximum dose required by the official guidelines, whereas the other two LAIs were prescribed at lower doses. After 6 and 12 months’ treatment with the three LAI-APDs, we registered similar and significant reductions in both urgent consultations and psychiatric hospitalizations (P

Published
2019

25. Biventricular or conduction system pacing for cardiac resynchronization therapy: a proposed treatment algorithm based on interventricular conduction delays

Author

Carmine Marallo, C M, primary, Federico Landra, F L, additional, Claudia Baiocchi, C B, additional, Maria Barilli, M B, additional, Nicolo Sisti, N S, additional, Antonio Pagliaro, A P, additional, Cristina Tavera, C T, additional, Andrea Stefanini, A S, additional, Andrea Pica, A P, additional, Matteo Cameli, M C, additional, and Santoro, A, additional

Published
2023
Full Text
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27. Rams, hounds and white boxes: Investigating human-AI collaboration protocols in medical diagnosis

Author

Cabitza, F., Campagner, A., Ronzio, L., Cameli, M., Mandoli, G.E., Pastore, M.C., Sconfienza, L.M., Folgado, D., Barandas, M., Gamboa, H., Cabitza, F, Campagner, A, Ronzio, L, Cameli, M, Mandoli, G, Pastore, M, Sconfienza, L, Folgado, D, Barandas, M, and Gamboa, H

Subjects
Cognitive biases, Artificial intelligence, Artificial intelligence, Automation bias, Cognitive biases, Explainable AI, Human–AI collaboration protocols, Settore MED/36 - Diagnostica per Immagini e Radioterapia, Settore INF/01 - Informatica, Automation bias, Explainable AI, Human–AI collaboration protocols, Automation bia, Human–AI collaboration protocol, Cognitive biase, Medicine (miscellaneous)
Abstract

In this paper, we study human–AI collaboration protocols, a design-oriented construct aimed at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We applied this construct in two user studies involving 12 specialist radiologists (the knee MRI study) and 44 ECG readers of varying expertise (the ECG study), who evaluated 240 and 20 cases, respectively, in different collaboration configurations. We confirm the utility of AI support but find that XAI can be associated with a “white-box paradox”, producing a null or detrimental effect. We also find that the order of presentation matters: AI-first protocols are associated with higher diagnostic accuracy than human-first protocols, and with higher accuracy than both humans and AI alone. Our findings identify the best conditions for AI to augment human diagnostic skills, rather than trigger dysfunctional responses and cognitive biases that can undermine decision effectiveness.

Published
2023

28. Razionale e valore fondamentale della Rete Italiana integrata dell’Amiloidosi Cardiaca [Rationale and significance of the Italian Network for Cardiac Amyloidosis]

Author

Sinagra G., Emdin M., Merlo M., Vergaro G., Aimo A., Biagini E., Imazio M., Porcari A., Limongelli G., Cipriani A., Canepa M., Musumeci B., Cameli M., Crotti L., Di Bella G., Di Lenarda A., Cappelli F., Chimenti C., Obici L., Iacoviello M., Perlini S., Pieroni M., Metra M., Oliva F., Perrone Filardi P., Colivicchi F., Indolfi C., Sinagra, G, Emdin, M, Merlo, M, Vergaro, G, Aimo, A, Biagini, E, Imazio, M, Porcari, A, Limongelli, G, Cipriani, A, Canepa, M, Musumeci, B, Cameli, M, Crotti, L, Di Bella, G, Di Lenarda, A, Cappelli, F, Chimenti, C, Obici, L, Iacoviello, M, Perlini, S, Pieroni, M, Metra, M, Oliva, F, Perrone Filardi, P, Colivicchi, F, and Indolfi, C

Subjects
Treatment, Clinical management, Cardiac amyloidosi, Differential diagnosi, Perspective
Abstract

The perspective on amyloidosis has changed deeply over the last 10 years following major advances in diagnosis and treatment options, especially in cardiac amyloidosis. This intrinsically heterogeneous disease exposes to the risk of fragmentation of knowledge and requires the interaction among experts of different specialties and subspecialties. Suspicion of disease, timely recognition and confirmation of final diagnosis, prognostic stratification, clinical management and therapeutic strategies represent essential steps to be taken. Missing or delaying the diagnosis may have dramatic impact on patient outcome, as in the case of chemotherapy in unrecognized light-chain amyloidosis. Therefore, there is an urgent need for the foundation of an Italian Amyloidosis Network to deal with the challenges of this condition and orient clinical management at national and local levels. The present consensus document aims to provide the rationale and scopes of the Italian Amyloidosis Network, which has been conceived as an organizational framework for professionals managing patients with amyloidosis.

Published
2023

29. Left atrial strain determinants and clinical features according to the heart failure stages. New insight from EACVI MASCOT registry

Author

Benfari, G, Mandoli, G, Magne, J, Miglioranza, M, Ancona, R, Luksic, V, Pastore, M, Santoro, C, Michalski, B, Malagoli, A, Muraru, D, Donal, E, Cosyns, B, Edvardsen, T, Popescu, B, Cameli, M, Benfari G., Mandoli G. E., Magne J., Miglioranza M. H., Ancona R., Luksic V. R., Pastore M. C., Santoro C., Michalski B., Malagoli A., Muraru D., Donal E., Cosyns B., Edvardsen T., Popescu B. A., Cameli M., Benfari, G, Mandoli, G, Magne, J, Miglioranza, M, Ancona, R, Luksic, V, Pastore, M, Santoro, C, Michalski, B, Malagoli, A, Muraru, D, Donal, E, Cosyns, B, Edvardsen, T, Popescu, B, Cameli, M, Benfari G., Mandoli G. E., Magne J., Miglioranza M. H., Ancona R., Luksic V. R., Pastore M. C., Santoro C., Michalski B., Malagoli A., Muraru D., Donal E., Cosyns B., Edvardsen T., Popescu B. A., and Cameli M.

Abstract

Few studies analyzed left atrial (LA) peak atrial longitudinal strain (PALS) determinants, particularly across heart failure (HF) stages. We aimed to analyze the pathophysiological and clinical PALS correlates in a large multicentric prospective study. This is a multicenter prospective observational study enrolling 745 patients with HF stages. Data included PALS and left ventricular global longitudinal strain (LV-GLS). Exclusion criteria were: valvular prosthesis; atrial fibrillation; cardiac transplantation; poor acoustic window. Median global PALS was 17% [24–32]. 29% of patients were in HF-stage 0/A, 35% in stage-B, and 36% in stage-C. Together with age, the echocardiographic determinants of PALS were LA volume and LV-GLS (overall model R2 = 0.50, p < 0.0001). LV-GLS had the strongest association with PALS at multivariable analysis (beta: −3.60 ± 0.20, p < 0.0001). Among HF stages, LV-GLS remained the most important PALS predictor (p < 0.0001) whereas age was only associated with PALS in lower HF-stage 0/A or B (R = − 0.26 p < 0.0001, R = − 0.23 p = 0.0001). LA volume increased its association to PALS moving from stage 0/A (R = − 0.11; P = 0.1) to C (R = − 0.42; P < 0.0001). PALS was the single most potent echocardiographic parameter in predicting the HF stage (AUC for B vs. 0/A 0.81, and AUC vs. 0/A for C 0.76). PALS remained independently associated with HF stages after adjusting for ejection fraction, E/e′ ratio, and mitral regurgitation grade (p < 0.0001). Although influenced by LV-GLS and LA size across HF stages, PALS is incrementally and independently associated with clinical status. LA function may reflect a substantial part of the hemodynamic consequences of ventricular dysfunction.

Published
2022

30. Unmasking the prevalence of amyloid cardiomyopathy in the real world: results from Phase 2 of the AC-TIVE study, an Italian nationwide survey

Author

Merlo, M, Pagura, L, Porcari, A, Cameli, M, Vergaro, G, Musumeci, B, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Cappelli, F, Perfetto, F, Favale, S, Di Bella, G, Dore, F, Girardi, F, Tomasoni, D, Pavasini, R, Rella, V, Palmiero, G, Caiazza, M, Carella, M, Igoren Guaricci, A, Branzi, G, Caponetti, A, Saturi, G, La Malfa, G, Merlo, A, Andreis, A, Bruno, F, Longo, F, Rossi, M, Varra, G, Saro, R, Di Ienno, L, De Carli, G, Giacomin, E, Arzilli, C, Limongelli, G, Autore, C, Olivotto, I, Badano, L, Parati, G, Perlini, S, Metra, M, Emdin, M, Rapezzi, C, Sinagra, G, Merlo M., Pagura L., Porcari A., Cameli M., Vergaro G., Musumeci B., Biagini E., Canepa M., Crotti L., Imazio M., Forleo C., Cappelli F., Perfetto F., Favale S., Di Bella G., Dore F., Girardi F., Tomasoni D., Pavasini R., Rella V., Palmiero G., Caiazza M., Carella M. C., Igoren Guaricci A., Branzi G., Caponetti A. G., Saturi G., La Malfa G., Merlo A. C., Andreis A., Bruno F., Longo F., Rossi M., Varra G. G., Saro R., Di Ienno L., De Carli G., Giacomin E., Arzilli C., Limongelli G., Autore C., Olivotto I., Badano L., Parati G., Perlini S., Metra M., Emdin M., Rapezzi C., Sinagra G., Merlo, M, Pagura, L, Porcari, A, Cameli, M, Vergaro, G, Musumeci, B, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Cappelli, F, Perfetto, F, Favale, S, Di Bella, G, Dore, F, Girardi, F, Tomasoni, D, Pavasini, R, Rella, V, Palmiero, G, Caiazza, M, Carella, M, Igoren Guaricci, A, Branzi, G, Caponetti, A, Saturi, G, La Malfa, G, Merlo, A, Andreis, A, Bruno, F, Longo, F, Rossi, M, Varra, G, Saro, R, Di Ienno, L, De Carli, G, Giacomin, E, Arzilli, C, Limongelli, G, Autore, C, Olivotto, I, Badano, L, Parati, G, Perlini, S, Metra, M, Emdin, M, Rapezzi, C, Sinagra, G, Merlo M., Pagura L., Porcari A., Cameli M., Vergaro G., Musumeci B., Biagini E., Canepa M., Crotti L., Imazio M., Forleo C., Cappelli F., Perfetto F., Favale S., Di Bella G., Dore F., Girardi F., Tomasoni D., Pavasini R., Rella V., Palmiero G., Caiazza M., Carella M. C., Igoren Guaricci A., Branzi G., Caponetti A. G., Saturi G., La Malfa G., Merlo A. C., Andreis A., Bruno F., Longo F., Rossi M., Varra G. G., Saro R., Di Ienno L., De Carli G., Giacomin E., Arzilli C., Limongelli G., Autore C., Olivotto I., Badano L., Parati G., Perlini S., Metra M., Emdin M., Rapezzi C., and Sinagra G.

Abstract

Aim: To investigate the prevalence of amyloid cardiomyopathy (AC) and the diagnostic accuracy of echocardiographic red flags of AC among consecutive adult patients undergoing transthoracic echocardiogram for reason other than AC in 13 Italian institutions. Methods and results: This is an Italian prospective multicentre study, involving a clinical and instrumental work-up to assess AC prevalence among patients ≥55 years old with an echocardiogram suggestive of AC (i.e. at least one echocardiographic red flag of AC in hypertrophic, non-dilated left ventricles with preserved ejection fraction). The study was registered at ClinicalTrials.gov (NCT04738266). Overall, 381 patients with an echocardiogram suggestive of AC were identified among a cohort of 5315 screened subjects, and 217 patients completed the investigations. A final diagnosis of AC was made in 62 patients with an estimated prevalence of 29% (95% confidence interval 23%–35%). Transthyretin-related AC (ATTR-AC) was diagnosed in 51 and light chain-related AC (AL-AC) in 11 patients. Either apical sparing or a combination of ≥2 other echocardiographic red flags, excluding interatrial septum thickness, provided a diagnostic accuracy >70%. Conclusion: In a cohort of consecutive adults with echocardiographic findings suggestive of AC and preserved left ventricular ejection fraction, the prevalence of AC (either ATTR or AL) was 29%. Easily available echocardiographic red flags, when combined together, demonstrated good diagnostic accuracy.

Published
2022

31. Haemodynamic forces as predictors of cardiac remodelling and outcome in heart failure with reduced ejection fraction treated with sacubitril/valsartan

Author

Fabiani, I, primary, Pugliese, N R, additional, Castiglione, V, additional, Pedrizzetti, G, additional, Tonti, G, additional, Chubuchny, V, additional, Becherini, F, additional, Taddei, C, additional, Gimelli, A, additional, Del Punta, L, additional, Balletti, A, additional, Masi, S, additional, Cameli, M, additional, Emdin, M, additional, and Giannoni, A, additional

Published
2022
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33. Prediction of congestive state and prognosis in acute and chronic heart failure: the association between NT-proBNP and left atrial strain

Author

Pastore, M C, primary, Mandoli, G E, additional, Ghionzoli, N, additional, Stefanini, A, additional, D'Ascenzi, F, additional, Lisi, M, additional, Cavigli, L, additional, Carrucola, C, additional, Focardi, M, additional, Mondillo, S, additional, Patti, G, additional, Valente, S, additional, and Cameli, M, additional

Published
2022
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34. Prognostic value of left and right ventricular strain in heart failure with reduced and preserved ejection fraction: a meta-analysis

Author

Pastore, M C, primary, Fusini, L, additional, Mandoli, G E, additional, Carrucola, C, additional, Vigna, M, additional, Muratori, M, additional, Pepi, M, additional, Cavigli, L, additional, D'Ascenzi, F, additional, Focardi, M, additional, Valente, S, additional, Mondillo, S, additional, Pontone, G, additional, Patti, G, additional, and Cameli, M, additional

Published
2022
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35. Speckle tracking echocardiography in plasma cell disorders: the role of advanced imaging in the early diagnosis of AL (Light Chain) cardiac amyloidosis

Author

De Carli, G, primary, Mandoli, G E, additional, Sciaccaluga, C, additional, Biagioni, G, additional, Marallo, C, additional, Turchini, F, additional, Ghionzoli, N, additional, Melani, A, additional, Barilli, M, additional, Pastore, M C, additional, Gozzetti, A, additional, Giacomin, E, additional, Focardi, M, additional, Valente, S, additional, and Cameli, M, additional

Published
2022
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36. ADONHERS (Aged DONor HEart Rescue by Stress echo) protocol for heart donation from marginal donor hearts: monocentric retrospective study on recipients survival after 10-year follow-up

Author

Mandoli, G E, primary, Barilli, M, additional, Soviero, D, additional, Ghionzoli, N, additional, Maccherini, M, additional, Bernazzali, S, additional, Natali, B, additional, Cavigli, L, additional, D'Ascenzi, F, additional, Focardi, M, additional, Pastore, M C, additional, Valente, S, additional, and Cameli, M, additional

Published
2022
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39. Biomarkers predict in-hospital major adverse cardiac events in covid-19 patients: A multicenter international study

Author

Henein, M, Mandoli, G, Pastore, M, Ghionzoli, N, Hasson, F, Nisar, M, Islam, M, Bandera, F, Marrocco-Trischitta, M, Baroni, I, Malagoli, A, Rossi, L, Biagi, A, Citro, R, Ciccarelli, M, Silverio, A, Biagioni, G, Moutiris, J, Vancheri, F, Mazzola, G, Geraci, G, Thomas, L, Altman, M, Pernow, J, Ahmed, M, Santoro, C, Esposito, R, Casas, G, Fernandez-Galera, R, Gonzalez, M, Palomares, J, Bytyci, I, Dini, F, Cameli, P, Franchi, F, Bajraktari, G, Badano, L, Cameli, M, Henein M. Y., Mandoli G. E., Pastore M. C., Ghionzoli N., Hasson F., Nisar M. K., Islam M., Bandera F., Marrocco-Trischitta M. M., Baroni I., Malagoli A., Rossi L., Biagi A., Citro R., Ciccarelli M., Silverio A., Biagioni G., Moutiris J. A., Vancheri F., Mazzola G., Geraci G., Thomas L., Altman M., Pernow J., Ahmed M., Santoro C., Esposito R., Casas G., Fernandez-Galera R., Gonzalez M., Palomares J. R., Bytyci I., Dini F. L., Cameli P., Franchi F., Bajraktari G., Badano L., Cameli M., Henein, M, Mandoli, G, Pastore, M, Ghionzoli, N, Hasson, F, Nisar, M, Islam, M, Bandera, F, Marrocco-Trischitta, M, Baroni, I, Malagoli, A, Rossi, L, Biagi, A, Citro, R, Ciccarelli, M, Silverio, A, Biagioni, G, Moutiris, J, Vancheri, F, Mazzola, G, Geraci, G, Thomas, L, Altman, M, Pernow, J, Ahmed, M, Santoro, C, Esposito, R, Casas, G, Fernandez-Galera, R, Gonzalez, M, Palomares, J, Bytyci, I, Dini, F, Cameli, P, Franchi, F, Bajraktari, G, Badano, L, Cameli, M, Henein M. Y., Mandoli G. E., Pastore M. C., Ghionzoli N., Hasson F., Nisar M. K., Islam M., Bandera F., Marrocco-Trischitta M. M., Baroni I., Malagoli A., Rossi L., Biagi A., Citro R., Ciccarelli M., Silverio A., Biagioni G., Moutiris J. A., Vancheri F., Mazzola G., Geraci G., Thomas L., Altman M., Pernow J., Ahmed M., Santoro C., Esposito R., Casas G., Fernandez-Galera R., Gonzalez M., Palomares J. R., Bytyci I., Dini F. L., Cameli P., Franchi F., Bajraktari G., Badano L., and Cameli M.

Abstract

Background: The COVID-19 pandemic carries a high burden of morbidity and mortality worldwide. We aimed to identify possible predictors of in-hospital major cardiovascular (CV) events in COVID-19. Methods: We retrospectively included patients hospitalized for COVID-19 from 10 centers. Clinical, biochemical, electrocardiographic, and imaging data at admission and medications were collected. Primary endpoint was a composite of in-hospital CV death, acute heart failure (AHF), acute myocarditis, arrhythmias, acute coronary syndromes (ACS), cardiocirculatory arrest, and pulmonary embolism (PE). Results: Of the 748 patients included, 141(19%) reached the set endpoint: 49 (7%) CV death, 15 (2%) acute myocarditis, 32 (4%) sustained-supraventricular or ventricular arrhythmias, 14 (2%) cardiocirculatory arrest, 8 (1%) ACS, 41 (5%) AHF, and 39 (5%) PE. Patients with CV events had higher age, body temperature, creatinine, high-sensitivity troponin, white blood cells, and platelet counts at admission and were more likely to have systemic hypertension, renal failure (creatinine ≥ 1.25 mg/dL), chronic obstructive pulmonary disease, atrial fibrillation, and cardiomyopathy. On univariate and multivariate analysis, troponin and renal failure were associated with the composite endpoint. Kaplan–Meier analysis showed a clear divergence of in-hospital composite event-free survival stratified according to median troponin value and the presence of renal failure (Log rank p < 0.001). Conclusions: Our findings, derived from a multicenter data collection study, suggest the routine use of biomarkers, such as cardiac troponin and serum creatinine, for in-hospital prediction of CV events in patients with COVID-19.

Published
2021

40. Multimodality imaging of myocardial viability: An expert consensus document from the European Association of Cardiovascular Imaging (EACVI)

Author

Almeida, A, Carpenter, J, Cameli, M, Donal, E, Dweck, M, Flachskampf, F, Maceira, A, Muraru, D, Neglia, D, Pasquet, A, Plein, S, Gerber, B, Almeida A. G., Carpenter J. -P., Cameli M., Donal E., Dweck M. R., Flachskampf F. A., Maceira A. M., Muraru D., Neglia D., Pasquet A., Plein S., Gerber B. L., Almeida, A, Carpenter, J, Cameli, M, Donal, E, Dweck, M, Flachskampf, F, Maceira, A, Muraru, D, Neglia, D, Pasquet, A, Plein, S, Gerber, B, Almeida A. G., Carpenter J. -P., Cameli M., Donal E., Dweck M. R., Flachskampf F. A., Maceira A. M., Muraru D., Neglia D., Pasquet A., Plein S., and Gerber B. L.

Abstract

In clinical decision making, myocardial viability is defined as myocardium in acute or chronic coronary artery disease and other conditions with contractile dysfunction but maintained metabolic and electrical function, having the potential to improve dysfunction upon revascularization or other therapy. Several pathophysiological conditions may coexist to explain this phenomenon. Cardiac imaging may allow identification of myocardial viability through different principles, with the purpose of prediction of therapeutic response and selection for treatment. This expert consensus document reviews current insight into the underlying pathophysiology and available methods for assessing viability. In particular the document reviews contemporary viability imaging techniques, including stress echocardiography, single photon emission computed tomography, positron emission tomography, cardiovascular magnetic resonance, and computed tomography and provides clinical recommendations for how to standardize these methods in terms of acquisition and interpretation. Finally, it presents clinical scenarios where viability assessment is clinically useful.

Published
2021

41. Current patterns of beta-blocker prescription in cardiac amyloidosis: an Italian nationwide survey

Author

Tini, G, Cappelli, F, Biagini, E, Musumeci, B, Merlo, M, Crotti, L, Cameli, M, Di Bella, G, Cipriani, A, Marzo, F, Guerra, F, Forleo, C, Gagliardi, C, Zampieri, M, Carigi, S, Vianello, P, Mandoli, G, Ciliberti, G, Lichelli, L, Mariani, D, Porcari, A, Russo, D, Licordari, R, Ponziani, A, Porto, I, Perfetto, F, Autore, C, Rapezzi, C, Sinagra, G, Canepa, M, Tini G., Cappelli F., Biagini E., Musumeci B., Merlo M., Crotti L., Cameli M., Di Bella G., Cipriani A., Marzo F., Guerra F., Forleo C., Gagliardi C., Zampieri M., Carigi S., Vianello P. F., Mandoli G. E., Ciliberti G., Lichelli L., Mariani D., Porcari A., Russo D., Licordari R., Ponziani A., Porto I., Perfetto F., Autore C., Rapezzi C., Sinagra G., Canepa M., Tini, G, Cappelli, F, Biagini, E, Musumeci, B, Merlo, M, Crotti, L, Cameli, M, Di Bella, G, Cipriani, A, Marzo, F, Guerra, F, Forleo, C, Gagliardi, C, Zampieri, M, Carigi, S, Vianello, P, Mandoli, G, Ciliberti, G, Lichelli, L, Mariani, D, Porcari, A, Russo, D, Licordari, R, Ponziani, A, Porto, I, Perfetto, F, Autore, C, Rapezzi, C, Sinagra, G, Canepa, M, Tini G., Cappelli F., Biagini E., Musumeci B., Merlo M., Crotti L., Cameli M., Di Bella G., Cipriani A., Marzo F., Guerra F., Forleo C., Gagliardi C., Zampieri M., Carigi S., Vianello P. F., Mandoli G. E., Ciliberti G., Lichelli L., Mariani D., Porcari A., Russo D., Licordari R., Ponziani A., Porto I., Perfetto F., Autore C., Rapezzi C., Sinagra G., and Canepa M.

Abstract

Aims: The use of beta-blocker therapy in cardiac amyloidosis (CA) is debated. We aimed at describing patterns of beta-blocker prescription through a nationwide survey. Methods and results: From 11 referral centres, we retrospectively collected data of CA patients with a first evaluation after 2016 (n = 642). Clinical characteristics at first and last evaluation were collected, with a focus on medical therapy. For patients in whom beta-blocker therapy was started, stopped, or continued between first and last evaluation, the main reason for beta-blocker management was requested. Median age of study population was 77 years; 81% were men. Arterial hypertension was found in 58% of patients, atrial fibrillation (AF) in 57%, and coronary artery disease in 16%. Left ventricular ejection fraction was preserved in 62% of cases, and 74% of patients had advanced diastolic dysfunction. Out of the 250 CA patients on beta-blockers at last evaluation, 215 (33%) were already taking this therapy at first evaluation, while 35 (5%) were started it, in both cases primarily because of high-rate AF. One-hundred-nineteen patients (19%) who were on beta-blocker at first evaluation had this therapy withdrawn, mainly because of intolerance in the presence of heart failure with advanced diastolic dysfunction. The remaining 273 patients (43%) had never received beta-blocker therapy. Beta-blockers usage was similar between CA aetiologies. Patients taking vs. not taking beta-blockers differed only for a greater prevalence of arterial hypertension, coronary artery disease, AF, and non-restrictive filling pattern (P < 0.01 for all) in the former group. Conclusions: Beta-blockers prescription is not infrequent in CA. Such therapy may be tolerated in the presence of co-morbidities for which beta-blockers are routinely used and in the absence of advanced diastolic dysfunction.

Published
2021

42. SARS-CoV-2 infection and return-to-play in junior competitive athletes: is systematic cardiac screening needed?

Author

Cavigli L, Cillis M, Mochi V, Frascaro F, Mochi N, Hajdarevic A, Roselli A, Capitani M, Alvino F, Lisi C, Mandoli G, Valente S, Marta Focardi, Cameli M, and D'ascenzi F

Subjects
Epidemiology, Cardiology and Cardiovascular Medicine
Abstract

Funding Acknowledgements Type of funding sources: None. Background SARS-CoV-2 infection might be associated with cardiac complications in low-risk populations, such as in competitive athletes. However, data obtained in adults cannot be directly transferred to preadolescents and adolescents that are less susceptible to adverse clinical outcomes and are often asymptomatic. Purpose We conducted this prospective multi-centre study to describe the incidence of cardiovascular complications following SARS-CoV-2 infection in a large cohort of junior athletes and to examine the effectiveness of a screening protocol for a safe return-to-play. Methods Junior competitive athletes suffering from asymptomatic or mildly symptomatic SARS-CoV-2 infection underwent cardiac screening, including physical examination, 12-lead resting electrocardiogram (ECG), echocardiogram, and exercise ECG testing. Further investigations were performed in cases of abnormal findings. Results A total of 571 competitive junior athletes (14.3±2.5 years) were evaluated. About half of the population (50.3%) was mildly symptomatic during SARS-CoV-2 infection, and the average duration of symptoms was 4±1 days. Pericardial involvement was found in 3.2% of junior athletes: small pericardial effusion (2.6%), moderate pericardial effusion (0.2%), and pericarditis (0.4%). No relevant arrhythmias or myocardial inflammation were found in subjects with pericardial involvement. Athletes with pericarditis or moderate pericardial effusion were temporarily disqualified, and a gradual return-to-play was achieved after complete clinical resolution. Conclusions The prevalence of cardiac involvement was low in junior athletes after asymptomatic or mild SARS-CoV-2 infection. A screening strategy primarily driven by cardiac symptoms, ECG abnormalities and arrhythmias at rest and/or during exercise should detect cardiac involvement from SARS-CoV-2 infection in most junior athletes. Systematic echocardiographic screening is not recommended in junior athletes.

Published
2022

45. C64 UNMASKING THE PREVALENCE OF AMYLOID CARDIOMYOPATHY IN THE REAL WORLD: RESULTS FROM PHASE 2 OF AC–TIVE STUDY, AN ITALIAN NATIONWIDE SURVEY

Author

Merlo, M, primary, Pagura, L, additional, Porcari, A, additional, Cameli, M, additional, Vergaro, G, additional, Musumeci, B, additional, Biagini, E, additional, Canepa, M, additional, Crotti, L, additional, Imazio, M, additional, Forleo, C, additional, Cappelli, F, additional, Favale, S, additional, Di Bella, G, additional, Dore, F, additional, Girardi, F, additional, Tomasoni, D, additional, Pavasini, R, additional, Rella, V, additional, Palmiero, G, additional, Caiazza, M, additional, Albanese, M, additional, Igoren Guarrucci, A, additional, Branzi, G, additional, Caponetti, A, additional, Saturi, G, additional, La Malfa, G, additional, Merlo, A, additional, Andreis, A, additional, Bruno, F, additional, Longo, F, additional, Rossi, M, additional, Varra‘, G, additional, Saro, R, additional, Di Ienno, L, additional, De Carli, G, additional, Giacomin, E, additional, Spini, V, additional, Limongelli, G, additional, Autore, C, additional, Olivotto, I, additional, Badano, L, additional, Parati, G, additional, Perlini, S, additional, Metra, M, additional, Emdin, M, additional, Rapezzi, C, additional, and Sinagra, G, additional

Published
2022
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46. C42 MULTI–CHAMBER SPECKLE TRACKING IMAGING AND DIAGNOSTIC VALUE OF LEFT ATRIAL STRAIN IN CARDIAC AMYLOIDOSIS

Author

Aimo, A, primary, Fabiani, I, additional, Giannoni, A, additional, Mandoli, G, additional, Pastore, M, additional, Vergaro, G, additional, Spini, V, additional, Chubuchny, V, additional, Pasanisi, E, additional, Petersen, C, additional, Poggianti, E, additional, Taddei, C, additional, Castiglione, V, additional, Latrofa, S, additional, Panichella, G, additional, Sciaccaluga, C, additional, Passino, C, additional, Cameli, M, additional, and Emdin, M, additional

Published
2022
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47. COVID-19 pandemic and cardiac imaging: EACVI recommendations on precautions, indications, prioritization, and protection for patients and healthcare personnel

Author

Skulstad, H, Cosyns, B, Popescu, B, Galderisi, M, Salvo, G, Donal, E, Petersen, S, Gimelli, A, Haugaa, K, Muraru, D, Almeida, A, Schulz-Menger, J, Dweck, M, Pontone, G, Sade, L, Gerber, B, Maurovich-Horvat, P, Bharucha, T, Cameli, M, Magne, J, Westwood, M, Maurer, G, Edvardsen, T, Skulstad H., Cosyns B., Popescu B. A., Galderisi M., Salvo G. D., Donal E., Petersen S., Gimelli A., Haugaa K. H., Muraru D., Almeida A. G., Schulz-Menger J., Dweck M. R., Pontone G., Sade L. E., Gerber B., Maurovich-Horvat P., Bharucha T., Cameli M., Magne J., Westwood M., Maurer G., Edvardsen T., Skulstad, H, Cosyns, B, Popescu, B, Galderisi, M, Salvo, G, Donal, E, Petersen, S, Gimelli, A, Haugaa, K, Muraru, D, Almeida, A, Schulz-Menger, J, Dweck, M, Pontone, G, Sade, L, Gerber, B, Maurovich-Horvat, P, Bharucha, T, Cameli, M, Magne, J, Westwood, M, Maurer, G, Edvardsen, T, Skulstad H., Cosyns B., Popescu B. A., Galderisi M., Salvo G. D., Donal E., Petersen S., Gimelli A., Haugaa K. H., Muraru D., Almeida A. G., Schulz-Menger J., Dweck M. R., Pontone G., Sade L. E., Gerber B., Maurovich-Horvat P., Bharucha T., Cameli M., Magne J., Westwood M., Maurer G., and Edvardsen T.

Published
2020

48. A national survey on prevalence of possible echocardiographic red flags of amyloid cardiomyopathy in consecutive patients undergoing routine echocardiography: study design and patients characterization-the first insight from the AC-TIVE Study

Author

Merlo, M, Porcari, A, Pagura, L, Cameli, M, Vergaro, G, Musumeci, B, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Cappelli, F, Favale, S, Di Bella, G, Dore, F, Lombardi, C, Pavasini, R, Rella, V, Palmiero, G, Caiazza, M, Albanese, M, Guaricci, A, Branzi, G, Caponetti, A, Saturi, G, La Malfa, G, Merlo, A, Andreis, A, Bruno, F, Longo, F, Sfriso, E, Di Ienno, L, De Carli, G, Giacomin, E, Spini, V, Milidoni, A, Limongelli, G, Autore, C, Olivotto, I, Badano, L, Parati, G, Perlini, S, Metra, M, Emdin, M, Rapezzi, C, Sinagra, G, Merlo, Marco, Porcari, Aldostefano, Pagura, Linda, Cameli, Matteo, Vergaro, Giuseppe, Musumeci, Beatrice, Biagini, Elena, Canepa, Marco, Crotti, Lia, Imazio, Massimo, Forleo, Cinzia, Cappelli, Francesco, Favale, Stefano, Di Bella, Gianluca, Dore, Franca, Lombardi, Carlo Mario, Pavasini, Rita, Rella, Valeria, Palmiero, Giuseppe, Caiazza, Martina, Albanese, Miriam, Guaricci, Andrea Igoren, Branzi, Giovanna, Caponetti, Angelo Giuseppe, Saturi, Giulia, La Malfa, Giovanni, Merlo, Andrea Carlo, Andreis, Alessandro, Bruno, Francesco, Longo, Francesca, Sfriso, Enrico, Di Ienno, Luca, De Carli, Giuseppe, Giacomin, Elisa, Spini, Valentina, Milidoni, Antonino, Limongelli, Giuseppe, Autore, Camillo, Olivotto, Iacopo, Badano, Luigi, Parati, Gianfranco, Perlini, Stefano, Metra, Marco, Emdin, Michele, Rapezzi, Claudio, Sinagra, Gianfranco, Merlo, M, Porcari, A, Pagura, L, Cameli, M, Vergaro, G, Musumeci, B, Biagini, E, Canepa, M, Crotti, L, Imazio, M, Forleo, C, Cappelli, F, Favale, S, Di Bella, G, Dore, F, Lombardi, C, Pavasini, R, Rella, V, Palmiero, G, Caiazza, M, Albanese, M, Guaricci, A, Branzi, G, Caponetti, A, Saturi, G, La Malfa, G, Merlo, A, Andreis, A, Bruno, F, Longo, F, Sfriso, E, Di Ienno, L, De Carli, G, Giacomin, E, Spini, V, Milidoni, A, Limongelli, G, Autore, C, Olivotto, I, Badano, L, Parati, G, Perlini, S, Metra, M, Emdin, M, Rapezzi, C, Sinagra, G, Merlo, Marco, Porcari, Aldostefano, Pagura, Linda, Cameli, Matteo, Vergaro, Giuseppe, Musumeci, Beatrice, Biagini, Elena, Canepa, Marco, Crotti, Lia, Imazio, Massimo, Forleo, Cinzia, Cappelli, Francesco, Favale, Stefano, Di Bella, Gianluca, Dore, Franca, Lombardi, Carlo Mario, Pavasini, Rita, Rella, Valeria, Palmiero, Giuseppe, Caiazza, Martina, Albanese, Miriam, Guaricci, Andrea Igoren, Branzi, Giovanna, Caponetti, Angelo Giuseppe, Saturi, Giulia, La Malfa, Giovanni, Merlo, Andrea Carlo, Andreis, Alessandro, Bruno, Francesco, Longo, Francesca, Sfriso, Enrico, Di Ienno, Luca, De Carli, Giuseppe, Giacomin, Elisa, Spini, Valentina, Milidoni, Antonino, Limongelli, Giuseppe, Autore, Camillo, Olivotto, Iacopo, Badano, Luigi, Parati, Gianfranco, Perlini, Stefano, Metra, Marco, Emdin, Michele, Rapezzi, Claudio, and Sinagra, Gianfranco

Published
2022

49. Left atrial strain determinants across heart failure stages; insight from MASCOT registry

Author

Benfari, G, primary, Mandoli, GE, additional, Magne, J, additional, Miglioranza, M, additional, Ancona, R, additional, Reskovic Luksic, V, additional, Pastore, MC, additional, Santoro, C, additional, Michalski, B, additional, Muraru, D, additional, Donal, E, additional, Cosyns, B, additional, Edvardsen, T, additional, Popescu, B, additional, and Cameli, M, additional

Published
2022
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50. Left ventricular myocardial work indices and invasive measurement of stroke work: a correlation study

Author

Landra, F, primary, Chiantini, B, additional, Mandoli, GE, additional, Barilli, M, additional, Merello, G, additional, De Carli, G, additional, Sciaccaluga, C, additional, Lisi, M, additional, D" Ascenzi, F, additional, Fineschi, M, additional, Iadanza, A, additional, Bernazzali, S, additional, Valente, S, additional, and Cameli, M, additional

Published
2022
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