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126 results on '"Pompilio, G"'

4. Cardiomyocyte-stromal cell interplay modulates the pathogenesis of arrhythmogenic cardiomyopathy

Author

Maione, A S, primary, Iengo, L, additional, Sala, L, additional, Massaiu, I, additional, Chiesa, M, additional, Ghilardi, S, additional, Florindi, C, additional, Lodola, F, additional, Zaza, A, additional, Tondo, C, additional, Schiavone, M, additional, Banfi, C, additional, Pompilio, G, additional, Poggio, P, additional, and Sommariva, E, additional

Published
2024
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8. Stromal cell models of arrhythmogenic cardiomyopathy

Author

Iengo, L, primary, Maione, A S, additional, Meraviglia, V, additional, Rabino, M, additional, Chiesa, M, additional, Catto, V, additional, Tondo, C, additional, Pompilio, G, additional, Bellin, M, additional, and Sommariva, E, additional

Published
2023
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10. Transcriptome and methylome analyses of stromal cells from ACM patients reveal the additional role of alterations in mitochondrial homeostasis and chromatin organization in disease pathogenesis

Author

Lippi, M, primary, Maione, A S, additional, Chiesa, M, additional, Perrucci, G L, additional, Iengo, L, additional, Sattin, T, additional, Cencioni, C, additional, Zeiher, A M, additional, Tondo, C, additional, Pompilio, G, additional, and Sommariva, E, additional

Published
2023
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15. Prevalence and features of delirium in older patients admitted to rehabilitation facilities

Author

Sidoli, Chiara, Zambon, Antonella, Tassistro, Elena, Rossi, Emanuela, Mossello, Enrico, Inzitari, Marco, Cherubini, Antonio, Marengoni, Alessandra, Morandi, Alessandro, Bellelli, Giuseppe, Tarasconi, A, Sella, M, Paternò, G, Faggian, G, Lucarelli, C, De Grazia, N, Alberto, C, Porcella, L, Nardiello, I, Chimenti, E, Zeni, M, Romairone, E, Minaglia, C, Ceccotti, C, Guerra, G, Mantovani, G, Monacelli, F, Candiani, T, Santolini, F, Rosso, M, Bono, V, Sibilla, S, Dal Santo, P, Ceci, M, Barone, P, Schirinzi, T, Formenti, A, Nastasi, G, Isaia, G, Gonella, D, Battuello, A, Casson, S, Calvani, D, Boni, F, Ciaccio, A, Rosa, R, Sanna, G, Manfredini, S, Cortese, L, Rizzo, M, Prestano, R, Greco, A, Lauriola, M, Gelosa, G, Piras, V, Arena, M, Cosenza, D, Bellomo, A, Lamontagna, M, Gabbani, L, Lambertucci, L, Perego, S, Parati, G, Basile, G, Gallina, V, Pilone, G, Giudice, C, Pietrogrande, L, Mosca, M, Corazzin, I, Rossi, P, Nunziata, V, D’Amico, F, Grippa, A, Giardini, S, Barucci, R, Cossu, A, Fiorin, L, Distefano, M, Lunardelli, M, Brunori, M, Ruffini, I, Abraham, E, Varutti, A, Fabbro, E, Catalano, A, Martino, G, Leotta, D, Marchet, A, Dell’Aquila, G, Scrimieri, A, Davoli, M, Casella, M, Cartei, A, Polidori, G, Brischetto, D, Motta, S, Saponara, R, Perrone, P, Russo, G, Del, D, Car, C, Pirina, T, Franzoni, S, Cotroneo, A, Ghiggia, F, Volpi, G, Menichetti, C, Bo, M, Panico, A, Calogero, P, Corvalli, G, Mauri, M, Lupia, E, Manfredini, R, Fabbian, F, March, A, Pedrotti, M, Veronesi, M, Strocchi, E, Borghi, C, Bianchetti, A, Crucitti, A, Difrancesco, V, Fontana, G, Geriatria, A, Bonanni, L, Barbone, F, Serrati, C, Ballardini, G, Simoncelli, M, Ceschia, G, Scarpa, C, Brugiolo, R, Fusco, S, Ciarambino, T, Biagini, C, Tonon, E, Porta, M, Venuti, D, Delsette, M, Poeta, M, Barbagallo, G, Trovato, G, Delitala, A, Arosio, P, Reggiani, F, Zuliani, G, Ortolani, B, Mussio, E, Girardi, A, Coin, A, Ruotolo, G, Castagna, A, Masina, M, Cimino, R, Pinciaroli, A, Tripodi, G, Cassadonte, F, Vatrano, M, Scaglione, L, Fogliacco, P, Muzzuilini, C, Romano, F, Padovani, A, Rozzini, L, Cagnin, A, Fragiacomo, F, Desideri, G, Liberatore, E, Bruni, A, Orsitto, G, Franco, M, Bonfrate, L, Bonetto, M, Pizio, N, Magnani, G, Cecchetti, G, Longo, A, Bubba, V, Marinan, L, Cotelli, M, Turla, M, Sessa, M, Abruzzi, L, Castoldi, G, Lovetere, D, Musacchio, C, Novello, M, Cavarape, A, Bini, A, Leonardi, A, Seneci, F, Grimaldi, W, Fimognari, F, Bambar, V, Saitta, A, Corica, F, Braga, M, Servi, Null, Ettorre, E, Camellini Bellelli, C G, Annoni, G, Marengoni, A, Crescenzo, A, Noro, G, Turco, R, Ponzetto, M, Giuseppe, L, Mazzei, B, Maiuri, G, Costaggiu, D, Damato, R, Formilan, M, Patrizia, G, Santuar, L, Gallucci, M, Paragona, M, Bini, P, Modica, D, Abati, C, Clerici, M, Barbera, I, Nigroimperiale, F, Manni, A, Votino, C, Castiglioni, C, Di, M, Degl’Innocenti, M, Moscatelli, G, Guerini, S, Casini, C, Dini, D, Denotariis, S, Bonometti, F, Paolillo, C, Riccardi, A, Tiozzo, A, Samysalamafahmy, A, Dibari, M, Vanni, S, Scarpa, A, Zara, D, Ranieri, P, Alessandro, M, Di, F, Pezzoni, D, Platto, C, D’Ambrosio, V, Ivaldi, C, Milia, P, Desalvo, F, Solaro, C, Strazzacappa, M, Cazzadori, M, Grasso, M, Troisi, E, Guerini, V, Bernardini, B, Corsini, C, Boffelli, S, Filippi, A, Delpin, K, Faraci, B, Bertoletti, E, Vannucci, M, Crippa, P, Malighetti, A, Caltagirone, C, Disant, S, Bettini, D, Maltese, F, Abruzzese, G, Cosimo, D, Azzini, M, Colombo, M, Procino, G, Fascendini, S, Barocco, F, Del, P, Mazzone, A, Cottino, M, Vezzadini, G, Avanzi, S, Brambilla, C, Orini, S, Sgrilli, F, Mello, A, Lombardi Muti, L E, Dijk, B, Fenu, S, Pes, C, Gareri, P, Passamonte, M, Rigo, R, Locusta, L, Caser, L, Rosso, G, Cesarini, S, Cozzi, R, Santini, C, Carbone, P, Cazzaniga, I, Lovati, R, Cantoni, A, Ranzani, P, Barra, D, Pompilio, G, Dimori, S, Cernesi, S, Riccò, C, Piazzolla, F, Capittini, E, Rota, C, Gottardi, F, Merla, L, Barelli, A, Millul, A, De, G, Morrone, G, Bigolari, M, Macchi, M, Zambon, F, Pizzorni, C, Dicasaleto, G, Menculini, G, Marcacci, M, Catanese, G, Sprini, D, Dicasalet, T, Bocci, M, Borga, S, Caironi, P, Cat, C, Cingolani, E, Avalli, L, Greco, G, Citerio, G, Gandini, L, Cornara, G, Lerda, R, Brazzi, L, Simeone, F, Caciorgna, M, Alampi, D, Francesconi, S, Beck, E, Antonini, B, Vettoretto, K, Meggiolaro, M, Garofalo, E, Notaro, S, Varutti, R, Bassi, F, Mistraletti, G, Marino, A, Rona, R, Rondelli, E, Riva, I, Cortegiani, A, Pistidda, L, D’Andrea, R, Querci, L, Gnesin, P, Todeschini, M, Lugano, M, Castelli, G, Ortolani, M, Cotoia, A, Maggiore, S, Ditizio, L, Graziani, R, Testa, I, Ferretti, E, Castioni, C, Lombardi, F, Caserta, R, Pasqua, M, Simoncini, S, Baccarini, F, Rispoli, M, Grossi, F, Cancelliere, L, Carnelli, M, Puccini, F, Biancofiore, G, Siniscalchi, A, Laici, C, Mossello, E, Torrini, M, Pasetti, G, Palmese, S, Oggioni, R, Mangani, V, Pini, S, Martelli, M, Rigo, E, Zuccalà, F, Cherri, A, Spina, R, Calamai, I, Petrucci, N, Caicedo, A, Ferri, F, Gritti, P, Brienza, N, Fonnesu, R, Dessena, M, Fullin, G, Saggioro, D, Sidoli, Chiara, Zambon, Antonella, Tassistro, Elena, Rossi, Emanuela, Mossello, Enrico, Inzitari, Marco, Cherubini, Antonio, Marengoni, Alessandra, Morandi, Alessandro, Bellelli, Giuseppe, A Tarasconi, M Sella, G Paternò, G Faggian, C Lucarelli, N De Grazia, C Alberto, L Porcella, I Nardiello, E Chimenti, M Zeni, E Romairone, C Minaglia, C Ceccotti, G Guerra, G Mantovani, F Monacelli, C Minaglia, T Candiani, F Santolini, C Minaglia, M Rosso, V Bono, S Sibilla, P Dal Santo, M Ceci, P Barone, T Schirinzi, A Formenti, G Nastasi, G Isaia, D Gonella, A Battuello, S Casson, D Calvani, F Boni, A Ciaccio, R Rosa, G Sanna, S Manfredini, L Cortese, M Rizzo, R Prestano, A Greco, M Lauriola, G Gelosa, V Piras, M Arena, D Cosenza, A Bellomo, M LaMontagna, L Gabbani, L Lambertucci, S Perego, G Parati, G Basile, V Gallina, G Pilone, C Giudice, L Pietrogrande, M Mosca, I Corazzin, P Rossi, V Nunziata, F D’Amico, A Grippa, S Giardini, R Barucci, A Cossu, L Fiorin, M Arena , M Distefano, M Lunardelli, M Brunori, I Ruffini, E Abraham, A Varutti, E Fabbro, A Catalano, G Martino, D Leotta, A Marchet, G Dell’Aquila, A Scrimieri, M Davoli, M Casella, A Cartei, G Polidori, G Basile, D Brischetto, S Motta, R Saponara, P Perrone, G Russo, D Del, C Car, T Pirina, S Franzoni, A Cotroneo, F Ghiggia, G Volpi, C Menichetti, M Bo, A Panico, P Calogero, G Corvalli, M Mauri, E Lupia, R Manfredini, F Fabbian, A March, M Pedrotti, M Veronesi, E Strocchi, C Borghi, A Bianchetti, A Crucitti, V DiFrancesco, G Fontana, A Geriatria, L Bonanni, F Barbone, C Serrati, G Ballardini, M Simoncelli, G Ceschia, C Scarpa, R Brugiolo, S Fusco, T Ciarambino, C Biagini, E Tonon, M Porta , D Venuti, M DelSette, M Poeta, G Barbagallo, G Trovato, A Delitala, P Arosio, F Reggiani, G Zuliani, B Ortolani, E Mussio, A Girardi, A Coin, G Ruotolo, A Castagna, M Masina, R Cimino, A Pinciaroli, G Tripodi, F Cassadonte, M Vatrano, L Scaglione, P Fogliacco, C Muzzuilini, F Romano, A Padovani, L Rozzini, A Cagnin, F Fragiacomo, G Desideri, E Liberatore, A Bruni, G Orsitto, M Franco, L Bonfrate, M Bonetto, N Pizio, G Magnani, G Cecchetti, A Longo, V Bubba, L Marinan, M Cotelli, M Turla, M Brunori, M Sessa, L Abruzzi, G Castoldi, D LoVetere, C Musacchio, M Novello, A Cavarape, A Bini, A Leonardi, F Seneci, W Grimaldi, F Seneci, F Fimognari, V Bambar, A Saitta, F Corica, M Braga, Servi, E Ettorre , C G Camellini Bellelli, G Annoni, A Marengoni, A Bruni, A Crescenzo, G Noro, R Turco, M Ponzetto, L Giuseppe, B Mazzei, G Maiuri, D Costaggiu, R Damato, E Fabbro, M Formilan, G Patrizia, L Santuar , M Gallucci, C Minaglia, M Paragona, P Bini, D Modica, C Abati, M Clerici, I Barbera, F NigroImperiale, A Manni, C Votino, C Castiglioni, M Di, M Degl’Innocenti, G Moscatelli, S Guerini, C Casini, D Dini, S DeNotariis, F Bonometti, C Paolillo, A Riccardi, A Tiozzo, A SamySalamaFahmy, A Riccardi, C Paolillo, M DiBari, S Vanni, A Scarpa, D Zara, P Ranieri, M Alessandro, P Calogero, G Corvalli, F Di, D Pezzoni, C Platto, V D’Ambrosio, C Ivaldi, P Milia, F DeSalvo, C Solaro, M Strazzacappa, M Bo, A Panico, M Cazzadori, M Bonetto, M Grasso, E Troisi, G Magnani, G Cecchetti, V Guerini, B Bernardini, C Corsini, S Boffelli, A Filippi, K Delpin, B Faraci, E Bertoletti, M Vannucci, P Crippa, A Malighetti, C Caltagirone, S DiSant, D Bettini, F Maltese, M Formilan, G Abruzzese, C Minaglia, D Cosimo, M Azzini, M Cazzadori, M Colombo, G Procino, S Fascendini, F Barocco, P Del, F D’Amico, A Grippa , A Mazzone, M Cottino, G Vezzadini, S Avanzi, C Brambilla, S Orini, F Sgrilli, A Mello, L E Lombardi Muti, B Dijk , S Fenu, C Pes, P Gareri, A Castagna, M Passamonte, R Rigo, L Locusta, L Caser, G Rosso, S Cesarini, R Cozzi, C Santini, P Carbone, I Cazzaniga, R Lovati, A Cantoni, P Ranzani, D Barra, G Pompilio, S Dimori, S Cernesi, C Riccò, F Piazzolla, E Capittini, C Rota, F Gottardi, L Merla, A Barelli, A Millul , G De, G Morrone, M Bigolari, C Minaglia, M Macchi, F Zambon, F D’Amico, F D’Amico, C Pizzorni, G DiCasaleto, G Menculini, M Marcacci, G Catanese, D Sprini, T DiCasalet, M Bocci, S Borga, P Caironi, C Cat, E Cingolani, L Avalli, G Greco, G Citerio, L Gandini, G Cornara, R Lerda, L Brazzi, F Simeone, M Caciorgna, D Alampi, S Francesconi, E Beck, B Antonini, K Vettoretto, M Meggiolaro, E Garofalo, A Bruni, S Notaro, R Varutti, F Bassi, G Mistraletti, A Marino, R Rona, E Rondelli, I Riva, A Cortegiani, L Pistidda, R D’Andrea, L Querci, P Gnesin, M Todeschini, M Lugano, G Castelli, M Ortolani, A Cotoia, S Maggiore, L DiTizio, R Graziani, I Testa, E Ferretti, C Castioni, F Lombardi, R Caserta, M Pasqua, S Simoncini, F Baccarini, M Rispoli, F Grossi, L Cancelliere, M Carnelli, F Puccini, G Biancofiore, A Siniscalchi, C Laici, E Mossello, M Torrini, G Pasetti, S Palmese, R Oggioni, V Mangani, S Pini, M Martelli, E Rigo, F Zuccalà , A Cherri, R Spina, I Calamai, N Petrucci, A Caicedo, F Ferri, P Gritti, N Brienza, R Fonnesu, M Dessena, G Fullin & D Saggioro, VU University medical center, Sidoli, C, Zambon, A, Tassistro, E, Rossi, E, Mossello, E, Inzitari, M, Cherubini, A, Marengoni, A, Morandi, A, Bellelli, G, Tarasconi, A, Sella, M, Paterno, G, Faggian, G, Lucarelli, C, De Grazia, N, Alberto, C, Porcella, L, Nardiello, I, Chimenti, E, Zeni, M, Romairone, E, Minaglia, C, Ceccotti, C, Guerra, G, Mantovani, G, Monacelli, F, Candiani, T, Santolini, F, Rosso, M, Bono, V, Sibilla, S, Dal Santo, P, Ceci, M, Barone, P, Schirinzi, T, Formenti, A, Nastasi, G, Isaia, G, Gonella, D, Battuello, A, Casson, S, Calvani, D, Boni, F, Ciaccio, A, Rosa, R, Sanna, G, Manfredini, S, Cortese, L, Rizzo, M, Prestano, R, Greco, A, Lauriola, M, Gelosa, G, Piras, V, Arena, M, Cosenza, D, Bellomo, A, Lamontagna, M, Gabbani, L, Lambertucci, L, Perego, S, Parati, G, Basile, G, Gallina, V, Pilone, G, Giudice, C, Pietrogrande, L, Mosca, M, Corazzin, I, Rossi, P, Nunziata, V, D'Amico, F, Grippa, A, Giardini, S, Barucci, R, Cossu, A, Fiorin, L, Distefano, M, Lunardelli, M, Brunori, M, Ruffini, I, Abraham, E, Varutti, A, Fabbro, E, Catalano, A, Martino, G, Leotta, D, Marchet, A, Dell'Aquila, G, Scrimieri, A, Davoli, M, Casella, M, Cartei, A, Polidori, G, Brischetto, D, Motta, S, Saponara, R, Perrone, P, Russo, G, Del, D, Car, C, Pirina, T, Franzoni, S, Cotroneo, A, Ghiggia, F, Volpi, G, Menichetti, C, Bo, M, Panico, A, Calogero, P, Corvalli, G, Mauri, M, Lupia, E, Manfredini, R, Fabbian, F, March, A, Pedrotti, M, Veronesi, M, Strocchi, E, Borghi, C, Bianchetti, A, Crucitti, A, Difrancesco, V, Fontana, G, Geriatria, A, Bonanni, L, Barbone, F, Serrati, C, Ballardini, G, Simoncelli, M, Ceschia, G, Scarpa, C, Brugiolo, R, Fusco, S, Ciarambino, T, Biagini, C, Tonon, E, Porta, M, Venuti, D, Delsette, M, Poeta, M, Barbagallo, G, Trovato, G, Delitala, A, Arosio, P, Reggiani, F, Zuliani, G, Ortolani, B, Mussio, E, Girardi, A, Coin, A, Ruotolo, G, Castagna, A, Masina, M, Cimino, R, Pinciaroli, A, Tripodi, G, Cassadonte, F, Vatrano, M, Scaglione, L, Fogliacco, P, Muzzuilini, C, Romano, F, Padovani, A, Rozzini, L, Cagnin, A, Fragiacomo, F, Desideri, G, Liberatore, E, Bruni, A, Orsitto, G, Franco, M, Bonfrate, L, Bonetto, M, Pizio, N, Magnani, G, Cecchetti, G, Longo, A, Bubba, V, Marinan, L, Cotelli, M, Turla, M, Sessa, M, Abruzzi, L, Castoldi, G, Lovetere, D, Musacchio, C, Novello, M, Cavarape, A, Bini, A, Leonardi, A, Seneci, F, Grimaldi, W, Fimognari, F, Bambar, V, Saitta, A, Corica, F, Braga, M, Servi, Ettorre, E, Camellini Bellelli, C, Annoni, G, Crescenzo, A, Noro, G, Turco, R, Ponzetto, M, Giuseppe, L, Mazzei, B, Maiuri, G, Costaggiu, D, Damato, R, Formilan, M, Patrizia, G, Santuar, L, Gallucci, M, Paragona, M, Bini, P, Modica, D, Abati, C, Clerici, M, Barbera, I, Nigroimperiale, F, Manni, A, Votino, C, Castiglioni, C, Di, M, Degl'Innocenti, M, Moscatelli, G, Guerini, S, Casini, C, Dini, D, Denotariis, S, Bonometti, F, Paolillo, C, Riccardi, A, Tiozzo, A, Samysalamafahmy, A, Dibari, M, Vanni, S, Scarpa, A, Zara, D, Ranieri, P, Alessandro, M, Di, F, Pezzoni, D, Platto, C, D'Ambrosio, V, Ivaldi, C, Milia, P, Desalvo, F, Solaro, C, Strazzacappa, M, Cazzadori, M, Grasso, M, Troisi, E, Guerini, V, Bernardini, B, Corsini, C, Boffelli, S, Filippi, A, Delpin, K, Faraci, B, Bertoletti, E, Vannucci, M, Crippa, P, Malighetti, A, Caltagirone, C, Disant, S, Bettini, D, Maltese, F, Abruzzese, G, Cosimo, D, Azzini, M, Colombo, M, Procino, G, Fascendini, S, Barocco, F, Del, P, Mazzone, A, Cottino, M, Vezzadini, G, Avanzi, S, Brambilla, C, Orini, S, Sgrilli, F, Mello, A, Lombardi Muti, L, Dijk, B, Fenu, S, Pes, C, Gareri, P, Passamonte, M, Rigo, R, Locusta, L, Caser, L, Rosso, G, Cesarini, S, Cozzi, R, Santini, C, Carbone, P, Cazzaniga, I, Lovati, R, Cantoni, A, Ranzani, P, Barra, D, Pompilio, G, Dimori, S, Cernesi, S, Ricco, C, Piazzolla, F, Capittini, E, Rota, C, Gottardi, F, Merla, L, Barelli, A, Millul, A, De, G, Morrone, G, Bigolari, M, Macchi, M, Zambon, F, Pizzorni, C, Dicasaleto, G, Menculini, G, Marcacci, M, Catanese, G, Sprini, D, Dicasalet, T, Bocci, M, Borga, S, Caironi, P, Cat, C, Cingolani, E, Avalli, L, Greco, G, Citerio, G, Gandini, L, Cornara, G, Lerda, R, Brazzi, L, Simeone, F, Caciorgna, M, Alampi, D, Francesconi, S, Beck, E, Antonini, B, Vettoretto, K, Meggiolaro, M, Garofalo, E, Notaro, S, Varutti, R, Bassi, F, Mistraletti, G, Marino, A, Rona, R, Rondelli, E, Riva, I, Cortegiani, A, Pistidda, L, D'Andrea, R, Querci, L, Gnesin, P, Todeschini, M, Lugano, M, Castelli, G, Ortolani, M, Cotoia, A, Maggiore, S, Ditizio, L, Graziani, R, Testa, I, Ferretti, E, Castioni, C, Lombardi, F, Caserta, R, Pasqua, M, Simoncini, S, Baccarini, F, Rispoli, M, Grossi, F, Cancelliere, L, Carnelli, M, Puccini, F, Biancofiore, G, Siniscalchi, A, Laici, C, Torrini, M, Pasetti, G, Palmese, S, Oggioni, R, Mangani, V, Pini, S, Martelli, M, Rigo, E, Zuccala, F, Cherri, A, Spina, R, Calamai, I, Petrucci, N, Caicedo, A, Ferri, F, Gritti, P, Brienza, N, Fonnesu, R, Dessena, M, Fullin, G, and Saggioro, D

Subjects
Aging, Disability, Rehabilitation, Delirium, Dementia, Physical restraint, Cross-Sectional Studies, Activities of Daily Living, mental disorders, Prevalence, Humans, Geriatrics and Gerontology, Aged
Abstract

Background: Delirium is thought to be common across various settings of care; however, still little research has been conducted in rehabilitation. Aim: We investigated the prevalence of delirium, its features and motor subtypes in older patients admitted to rehabilitation facilities during the three editions of the “Delirium Day project”. Methods: We conducted a cross-sectional study in which 1237 older patients (age ≥ 65 years old) admitted to 50 Italian rehabilitation wards during the three editions of the “Delirium Day project” (2015 to 2017) were included. Delirium was evaluated through the 4AT and its motor subtype with the Delirium Motor Subtype Scale. Results: Delirium was detected in 226 patients (18%), and the most recurrent motor subtype was mixed (37%), followed by hypoactive (26%), hyperactive (21%) and non-motor one (16%). In a multivariate Poisson regression model with robust variance, factors associated with delirium were: disability in basic (PR 1.48, 95%CI: 1.17–1.9, p value 0.001) and instrumental activities of daily living (PR 1.58, 95%CI: 1.08–2.32, p value 0.018), dementia (PR 2.10, 95%CI: 1.62–2.73, p value < 0.0001), typical antipsychotics (PR 1.47, 95%CI: 1.10–1.95, p value 0.008), antidepressants other than selective serotonin reuptake inhibitors (PR 1.3, 95%CI: 1.02–1.66, p value 0.035), and physical restraints (PR 2.37, 95%CI: 1.68–3.36, p value < 0.0001). Conclusion: This multicenter study reports that 2 out 10 patients admitted to rehabilitations had delirium on the index day. Mixed delirium was the most prevalent subtype. Delirium was associated with unmodifiable (dementia, disability) and modifiable (physical restraints, medications) factors. Identification of these factors should prompt specific interventions aimed to prevent or mitigate delirium.

Published
2022

20. Comparison of the SYNTAX score 2020 based on Coronary Artery Computed Tomography (CCTA) with Invasive Coronary Angiography (ICA)

Author

Masuda, S, primary, Kageyama, S, additional, Kotoku, N, additional, Ninomiya, K, additional, Schneider, U, additional, Doenst, T, additional, Tanaka, K, additional, Mey, J D, additional, Lameir, M, additional, Mushtaq, S, additional, Bartorelli, A, additional, Pompilio, G, additional, Andreini, D, additional, Onuma, Y, additional, and Serruys, P W, additional

Published
2022
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21. Spectrum of rare and common genetic variants in arrhythmogenic cardiomyopathy

Author

Lippi, M, primary, Chiesa, M, additional, Ascione, C, additional, Pedrazzini, M, additional, Mushtaq, S, additional, Rovina, D, additional, Riggio, D, additional, Di Blasio, A, additional, Biondi, M L, additional, Pompilio, G, additional, Colombo, G I, additional, Novelli, V, additional, Casella, M, additional, and Sommariva, E, additional

Published
2022
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23. GCN5 contributes to intracellular lipid accumulation in human primary cardiac stromal cells from ACM patients

Author

Volani, C, Meraviglia, V, De Bortoli, M, Ermon, B, Matzinger, T, Cogliati, E, Paolin, A, Pompilio, G, Rainer, J, Paglia, G, Pramstaller, P, Sommariva, E, Rossini, A, Volani, C, Meraviglia, V, De Bortoli, M, Ermon, B, Matzinger, T, Cogliati, E, Paolin, A, Pompilio, G, Rainer, J, Paglia, G, Pramstaller, P, Sommariva, E, and Rossini, A

Subjects
GCN5, intracellular lipid accumulation, human primary cardiac stromal cells, ACM patients
Published
2022

25. Phantom study of stereotactic radioablation for ventricular tachycardia (STRA-MI-VT) using Cyberknife Synchrony Respiratory Tracking System with a single fiducial marker

Author

Piccolo, C., primary, Vigorito, S., additional, Rondi, E., additional, Piperno, G., additional, Ferrari, A., additional, Pepa, M., additional, Riva, G., additional, Durante, S., additional, Conte, E., additional, Catto, V., additional, Andreini, D., additional, Carbucicchio, C., additional, Jereczek-Fossa, B.A., additional, Pompilio, G., additional, Orecchia, R., additional, and Cattani, F., additional

Published
2022
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26. 462 Comparison Of The Syntax Score 2020 Based On Coronary Artery Computed Tomography (CCTA) With Invasive Coronary Angiography (ICA)

Author

Masuda, S., primary, Kageyama, S., additional, Kotoku, N., additional, Ninomiya, K., additional, Schneider, U., additional, Doenst, T., additional, Tanaka, K., additional, Mey, J., additional, Meir, M., additional, Mushtaq, S., additional, Bartorelli, A., additional, Pompilio, G., additional, Andreini, D., additional, Onuma, Y., additional, and Serruys, P., additional

Published
2022
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27. Evidence of mitochondrial alterations in primary cardiac stromal cells from arrhythmogenic cardiomyopathy hearts

Author

Philippe, R, primary, Volani, C, additional, Medici, A, additional, Texler, B, additional, Pagliaro, A, additional, Stadiotti, I, additional, Meraviglia, V, additional, De Bortoli, M, additional, Guarino, A, additional, Blumer, M, additional, Pompilio, G, additional, Pramstaller, PP, additional, Sommariva, E, additional, Troppmair, J, additional, and Rossini, A, additional

Published
2022
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29. The association between low skeletal muscle mass and delirium: results from the nationwide multi-centre Italian Delirium Day 2017

Author

Zucchelli, A, Manzoni, F, Morandi, A, Di Santo, S, Rossi, E, Valsecchi, Mg, Inzitari, M, Cherubini, A, Bo, M, Mossello, E, Marengoni, A, Bellelli, G, Tarasconi, A, Sella, M, Auriemma, S, Paternò, G, Faggian, G, Lucarelli, C, De Grazia, N, Alberto, C, Margola, A, Porcella, L, Nardiello, I, Chimenti, E, Zeni, M, Giani, A, Famularo, S, Romairone, E, Minaglia, C, Ceccotti, C, Guerra, G, Mantovani, G, Monacelli, F, Candiani, T, Ballestrero, A, Santolini, F, Rosso, M, Bono, V, Sibilla, S, Dal Santo, P, Ceci, M, Barone, P, Schirinzi, T, Formenti, A, Nastasi, G, Isaia, G, Gonella, D, Battuello, A, Casson, S, Calvani, D, Boni, F, Ciaccio, A, Rosa, R, Sanna, G, Manfredini, S, Cortese, L, Rizzo, M, Prestano, R, Greco, A, Lauriola, M, Gelosa, G, Piras, V, Arena, M, Cosenza, D, Bellomo, A, Lamontagna, M, Gabbani, L, Lambertucci, L, Perego, S, Parati, G, Basile, G, Gallina, V, Pilone, G, Giudice, C, De, F, Pietrogrande, L, De, B, Mosca, M, Corazzin, I, Rossi, P, Nunziata, V, D'Amico, F, Grippa, A, Giardini, S, Barucci, R, Cossu, A, Fiorin, L, Distefano, M, Lunardelli, M, Brunori, M, Ruffini, I, Abraham, E, Varutti, A, Fabbro, E, Catalano, A, Martino, G, Leotta, D, Marchet, A, Dell'Aquila, G, Scrimieri, A, Davoli, M, Casella, M, Cartei, A, Polidori, G, Brischetto, D, Motta, S, Saponara, R, Perrone, P, Russo, G, Del, D, Car, C, Pirina, T, Franzoni, S, Cotroneo, A, Ghiggia, F, Volpi, G, Menichetti, C, Panico, A, Calogero, P, Corvalli, G, Mauri, M, Lupia, E, Manfredini, R, Fabbian, F, March, A, Pedrotti, M, Veronesi, M, Strocchi, E, Bianchetti, A, Crucitti, A, Di Francesco, V, Fontana, G, Bonanni, L, Barbone, F, Serrati, C, Ballardini, G, Simoncelli, M, Ceschia, G, Scarpa, C, Brugiolo, R, Fusco, S, Ciarambino, T, Biagini, C, Tonon, E, Porta, M, Venuti, D, Delsette, M, Poeta, M, Barbagallo, G, Trovato, G, Delitala, A, Arosio, P, Reggiani, F, Zuliani, G, Ortolani, B, Mussio, E, Girardi, A, Coin, A, Ruotolo, G, Castagna, A, Masina, M, Cimino, R, Pinciaroli, A, Tripodi, G, Cannistrà, U, Cassadonte, F, Vatrano, M, Scaglione, L, Fogliacco, P, Muzzuilini, C, Romano, F, Padovani, A, Rozzini, L, Cagnin, A, Fragiacomo, F, Desideri, G, Liberatore, E, Bruni, A, Orsitto, G, Franco, M, Bonfrate, L, Bonetto, M, Pizio, N, Magnani, G, Cecchetti, G, Longo, A, Bubba, V, Marinan, L, Cotelli, M, Turla, M, Sessa, M, Abruzzi, L, Castoldi, G, Lovetere, D, Musacchio, C, Novello, M, Cavarape, A, Bini, A, Leonardi, A, Seneci, F, Grimaldi, W, Fimognari, F, Bambara, V, Saitta, A, Corica, F, Braga, M, Ettorre, E, Camellini, C, Crescenzo, A, Noro, G, Turco, R, Ponzetto, M, Giuseppe, L, Mazzei, B, Maiuri, G, Costaggiu, D, Damato, R, Formilan, M, Patrizia, G, Santuari, L, Gallucci, M, Paragona, M, Bini, P, Modica, D, Abati, C, Clerici, M, Barbera, I, Nigroimperiale, F, Manni, A, Votino, C, Castiglioni, C, Di, M, Degl'Innocenti, M, Moscatelli, G, Guerini, S, Casini, C, Dini, D, D'Imporzano, E, Denotariis, S, Bonometti, F, Paolillo, C, Riccardi, A, Tiozzo, A, Samy Salama Fahmy, A, Dibari, M, Vanni, S, Scarpa, A, Zara, D, Ranieri, P, Pezzoni, D, Gentile, S, Platto, C, D'Ambrosio, V, Faraci, B, Brambilla, C, Ivaldi, C, Milia, P, Desalvo, F, Solaro, C, Strazzacappa, M, Cazzadori, M, Confente, S, Grasso, M, Troisi, E, Guerini, V, Bernardini, B, C Boffelli S, Corsini, Filippi, A, Delpin, K, Bertoletti, E, Vannucci, M, Tesi, F, Crippa, P, Malighetti, A, Caltagirone, C, Disant, S, Bettini, D, Maltese, F, Abruzzese, G, Cosimo, D, Azzini, M, Colombo, M, Procino, G, Fascendini, S, Barocco, F, Del, P, Mazzone, A, Riva, E, Dell'Acqua, D, Cottino, M, Vezzadini, G, Avanzi, S, Orini, S, Sgrilli, F, Mello, A, Lombardi, L, Muti, E, Dijk, B, Fenu, S, Pes, C, Gareri, P, Passamonte, M, Rigo, R, Locusta, L, Caser, L, Rosso, G, Cesarini, S, Cozzi, R, Santini, C, Carbone, P, Cazzaniga, I, Lovati, R, Cantoni, A, Ranzani, P, Barra, D, Pompilio, G, Dimori, S, Cernesi, S, Riccò, C, Piazzolla, F, Capittini, E, Rota, C, Gottardi, F, Merla, L, A Millul A, Barelli, De, G, Morrone, G, Bigolari, M, Macchi, M, Zambon, F, Pizzorni, C, Dicasaleto, G, Menculini, G, Marcacci, M, Catanese, G, Sprini, D, Dicasalet, T, Bocci, M, Borga, S, Caironi, P, Cat, C, Cingolani, E, Avalli, L, Greco, G, Citerio, G, Gandini, L, Cornara, G, Lerda, R, Brazzi, L, Simeone, F, Caciorgna, M, Alampi, D, Francesconi, S, Beck, E, Antonini, B, Vettoretto, K, Meggiolaro, M, Garofalo, E, Notaro, S, Varutti, R, Bassi, F, Mistraletti, G, Marino, A, Rona, R, Rondelli, E, Riva, I, Scapigliati, A, Cortegiani, A, Vitale, F, Pistidda, L, D'Andrea, R, Querci, L, Gnesin, P, Todeschini, M, Lugano, M, Castelli, G, Ortolani, M, Cotoia, A, Maggiore, S, Ditizio, L, Graziani, R, Testa, I, Ferretti, E, Castioni, C, Lombardi, F, Caserta, R, Pasqua, M, Simoncini, S, Baccarini, F, Rispoli, M, Grossi, F, Cancelliere, L, Carnelli, M, Puccini, F, Biancofiore, G, Siniscalchi, A, Laici, C, Torrini, M, Pasetti, G, Palmese, S, Oggioni, R, Mangani, V, Pini, S, Martelli, M, Rigo, E, Zuccalà, F, Cherri, A, Spina, R, Calamai, I, Petrucci, N, Caicedo, A, Ferri, F, Gritti, P, Brienza, N, Fonnesu, R, Dessena, M, Fullin, G, Saggioro, D., Zucchelli, A, Manzoni, F, Morandi, A, Di Santo, S, Rossi, E, Valsecchi, M, Inzitari, M, Cherubini, A, Bo, M, Mossello, E, Marengoni, A, Bellelli, G, Citerio, G, Zucchelli, Alberto, Valsecchi, M G, and A Tarasconi, M Sella, S Auriemma, G Paternò, G Faggian, C Lucarelli, N De Grazia, C Alberto, A Margola, L Porcella, I Nardiello, E Chimenti, M Zeni, A Giani, S Famularo, E Romairone, C Minaglia, C Ceccotti, G Guerra, G Mantovani, F Monacelli, C Minaglia, T Candiani, A Ballestrero, C Minaglia, F Santolini, C Minaglia, M Rosso, V Bono, S Sibilla, P Dal Santo, M Ceci, P Barone, T Schirinzi, A Formenti, G Nastasi, G Isaia, D Gonella, A Battuello, S Casson, D Calvani, F Boni, A Ciaccio, R Rosa, G Sanna, S Manfredini, L Cortese, M Rizzo, R Prestano, A Greco, M Lauriola, G Gelosa, V Piras, M Arena, D Cosenza, A Bellomo, M LaMontagna, L Gabbani, L Lambertucci, S Perego, G Parati, G Basile, V Gallina, G Pilone, C Giudice, F De, L Pietrogrande, B De, M Mosca, I Corazzin, P Rossi, V Nunziata, F D'Amico, A Grippa, S Giardini, R Barucci, A Cossu, L Fiorin, M Arena, M Distefano, M Lunardelli, M Brunori, I Ruffini, E Abraham, A Varutti, E Fabbro, A Catalano, G Martino, D Leotta, A Marchet, G Dell'Aquila, A Scrimieri, M Davoli, M Casella, A Cartei, G Polidori, G Basile, D Brischetto, S Motta, R Saponara, P Perrone, G Russo, D Del, C Car, T Pirina, S Franzoni, A Cotroneo, F Ghiggia, G Volpi, C Menichetti, M Bo, A Panico, P Calogero, G Corvalli, M Mauri, E Lupia, R Manfredini, F Fabbian, A March, M Pedrotti, M Veronesi, E Strocchi, A Bianchetti, A Crucitti, V Di Francesco, G Fontana, L Bonanni, F Barbone, C Serrati, G Ballardini, M Simoncelli, G Ceschia, C Scarpa, R Brugiolo, S Fusco, T Ciarambino, C Biagini, E Tonon, M Porta, D Venuti, M DelSette, M Poeta, G Barbagallo, G Trovato, A Delitala, P Arosio, F Reggiani, G Zuliani, B Ortolani, E Mussio, A Girardi, A Coin, G Ruotolo, A Castagna, M Masina, R Cimino, A Pinciaroli, G Tripodi, U Cannistrà, F Cassadonte, M Vatrano, F Cassandonte, L Scaglione, P Fogliacco, C Muzzuilini, F Romano, A Padovani, L Rozzini, A Cagnin, F Fragiacomo, G Desideri, E Liberatore, A Bruni, G Orsitto, M Franco, L Bonfrate, M Bonetto, N Pizio, G Magnani, G Cecchetti, A Longo, V Bubba, L Marinan, M Cotelli, M Turla, M Brunori, M Sessa, L Abruzzi, G Castoldi, D LoVetere, C Musacchio, M Novello, A Cavarape, A Bini, A Leonardi, F Seneci, W Grimaldi, F Fimognari, V Bambara, A Saitta, F Corica, M Braga, E Ettorre, C Camellini, A Marengoni, A Bruni, A Crescenzo, G Noro, R Turco, M Ponzetto, L Giuseppe, B Mazzei, G Maiuri, D Costaggiu, R Damato, E Fabbro, G Patrizia, L Santuari, M Gallucci, C Minaglia, M Paragona, P Bini, D Modica, C Abati, M Clerici, I Barbera, F NigroImperiale, A Manni, C Votino, C Castiglioni, M Di, M Degl'Innocenti, G Moscatelli, S Guerini, C Casini, D Dini, S DeNotariis, F Bonometti, C Paolillo, A Riccardi, A Tiozzo, A SamySalamaFahmy, A Riccardi, C Paolillo, M DiBari, S Vanni, A Scarpa, D Zara, P Ranieri, P Calogero, G Corvalli, D Pezzoni, S Gentile, A Morandi, C Platto, V D'Ambrosio, B Faraci, C Ivaldi, P Milia, F DeSalvo, C Solaro, M Strazzacappa, M Bo, A Panico, M Cazzadori, S Confente, M Bonetto, G Magnani, G Cecchetti, V Guerini, B Bernardini, C Corsini, S Boffelli, A Filippi, K Delpin, E Bertoletti, M Vannucci, F Tesi, P Crippa, A Malighetti, C Caltagirone, S DiSant, D Bettini, F Maltese, M Formilan, G Abruzzese, C Minaglia, D Cosimo, M Azzini, M Cazzadori, M Colombo, G Procino, S Fascendini, F Barocco, P Del, F D'Amico, A Grippa, A Mazzone, E Riva, D Dell'Acqua, M Cottino, G Vezzadini, S Avanzi, S Orini, F Sgrilli, A Mello, L Lombardi, E Muti, B Dijk, S Fenu, C Pes, P Gareri, A Castagna, M Passamonte, F De, R Rigo, L Locusta, L Caser, G Rosso, S Cesarini, R Cozzi, C Santini, P Carbone, I Cazzaniga, R Lovati, A Cantoni, P Ranzani, D Barra, G Pompilio, S Dimori, S Cernesi, C Riccò, F Piazzolla, E Capittini, C Rota, F Gottardi, L Merla, A Barelli, A Millul, G De, G Morrone, M Bigolari, C Minaglia, M Macchi, F Zambon, F D'Amico, F D'Amico, C Pizzorni, G DiCasaleto, G Menculini, M Marcacci, G Catanese, D Sprini, T DiCasalet, M Bocci, S Borga, P Caironi, C Cat, E Cingolani, L Avalli, G Greco, G Citerio, L Gandini, G Cornara, R Lerda, L Brazzi, F Simeone, M Caciorgna, D Alampi, S Francesconi, E Beck, B Antonini, K Vettoretto, M Meggiolaro, E Garofalo, A Bruni, S Notaro, R Varutti, F Bassi, G Mistraletti, A Marino, R Rona, E Rondelli, I Riva, A Scapigliati, A Cortegiani, F Vitale, L Pistidda, R D'Andrea, L Querci, P Gnesin, M Todeschini, M Lugano, G Castelli, M Ortolani, A Cotoia, S Maggiore, L DiTizio, R Graziani, I Testa, E Ferretti, C Castioni, F Lombardi, R Caserta, M Pasqua, S Simoncini, F Baccarini, M Rispoli, F Grossi, L Cancelliere, M Carnelli, F Puccini, G Biancofiore, A Siniscalchi, C Laici, E Mossello, M Torrini, G Pasetti, S Palmese, R Oggioni, V Mangani, S Pini, M Martelli, E Rigo, F Zuccalà, A Cherri, R Spina, I Calamai, N Petrucci, A Caicedo, F Ferri, P Gritti, N Brienza, R Fonnesu, M Dessena, G Fullin, D Saggioro

Subjects
Male, Aging, medicine.medical_specialty, Sarcopenia, medicine.medical_treatment, Socio-culturale, Older person, Logistic regression, Delirium, Older persons, Sarcopenia, Internal medicine, mental disorders, Delirium, Older persons, medicine, Dementia, Humans, LS4_4, Muscle, Skeletal, Pathological, Aged, Rehabilitation, business.industry, Area under the curve, Settore MED/23 - Chirurgia Cardiaca, Skeletal, medicine.disease, Skeletal muscle mass, Cross-Sectional Studies, Italy, Muscle, Female, Geriatrics and Gerontology, medicine.symptom, business
Abstract

Introduction Delirium and sarcopenia are common, although underdiagnosed, geriatric syndromes. Several pathological mechanisms can link delirium and low skeletal muscle mass, but few studies have investigated their association. We aimed to investigate (1) the association between delirium and low skeletal muscle mass and (2) the possible role of calf circumference mass in finding cases with delirium. Methods The analyses were conducted employing the cross-sectional “Delirium Day” initiative, on patient 65 years and older admitted to acute hospital medical wards, emergency departments, rehabilitation wards, nursing homes and hospices in Italy in 2017. Delirium was diagnosed as a 4 + score at the 4-AT scale. Low skeletal muscle mass was operationally defined as calf circumference ≤ 34 cm in males and ≤ 33 cm in females. Logistic regression models were used to investigate the association between low skeletal muscle mass and delirium. The discriminative ability of calf circumference was evaluated using non-parametric ROC analyses. Results A sample of 1675 patients was analyzed. In total, 73.6% of participants had low skeletal muscle mass and 24.1% exhibited delirium. Low skeletal muscle mass and delirium showed an independent association (OR: 1.50; 95% CI 1.09–2.08). In the subsample of patients without a diagnosis of dementia, the inclusion of calf circumference in a model based on age and sex significantly improved its discriminative accuracy [area under the curve (AUC) 0.69 vs 0.57, p Discussion and conclusion Low muscle mass is independently associated with delirium. In patients without a previous diagnosis of dementia, calf circumference may help to better identify those who develop delirium.

Published
2022

30. Delirium and Clusters of Older Patients Affected by Multimorbidity in Acute Hospitals

Author

Monacelli, F, Signori, A, Marengoni, A, Di Santo, S, Rossi, E, Valsecchi, Mg, Morandi, A, Bellelli, G, Tarasconi, A, Sella, M, Auriemma, S, Paternò, G, Faggian, G, Lucarelli, C, De Grazia, N, Alberto, C, Porcella, L, Nardiello, I, Chimenti, E, Zeni, M, Giani, A, Famularo, S, Romairone, E, Minaglia, C, Ceccotti, C, Guerra, G, Mantovani, G, Candiani, T, Ballestrero, A, Santolini, F, Rosso, M, Bono, V, Sibilla, S, Dal Santo, P, Ceci, M, Barone, P, Schirinzi, T, Formenti, A, Nastasi, G, Isaia, G, Gonella, D, Battuello, A, Casson, S, Calvani, D, Boni, F, Ciaccio, A, Rosa, R, Sanna, G, Manfredini, S, Cortese, L, Rizzo, M, Prestano, R, Greco, A, Lauriola, M, Gelosa, G, Piras, V, Arena, M, Cosenza, D, Bellomo, A, Lamontagna, M, Gabbani, L, Lambertucci, L, Perego, S, Parati, G, Basile, G, Gallina, V, Pilone, G, Giudice, C, Pietrogrande, L, Mosca, M, Corazzin, I, Rossi, P, Nunziata, V, D'Amico, F, Grippa, A, Giardini, S, Barucci, R, Cossu, A, Fiorin, L, Distefano, M, Lunardelli, M, Brunori, M, Ruffini, I, Abraham, E, Varutti, A, Fabbro, E, Catalano, A, Martino, G, Leotta, D, Marchet, A, Dell'Aquila, G, Scrimieri, A, Davoli, M, Casella, M, Cartei, A, Polidori, G, Brischetto, D, Motta, S, Saponara, R, Perrone, P, Russo, G, Del, D, Car, C, Pirina, T, Franzoni, S, Cotroneo, A, Ghiggia, F, Volpi, G, Menichetti, C, Bo, M, Panico, A, Calogero, P, Corvalli, G, Mauri, M, Lupia, E, Manfredini, R, Fabbian, F, March, A, Pedrotti, M, Veronesi, M, Strocchi, E, Borghi, C, Bianchetti, A, Crucitti, A, Difrancesco, V, Fontana, G, Bonanni, L, Barbone, F, Serrati, C, Ballardini, G, Simoncelli, M, Ceschia, G, Scarpa, C, Brugiolo, R, Fusco, S, Ciarambino, T, Biagini, C, Tonon, E, Porta, M, Venuti, D, Delsette, M, Poeta, M, Barbagallo, G, Trovato, G, Delitala, A, Arosio, P, Reggiani, F, Zuliani, G, Ortolani, B, Mussio, E, Girardi, A, Coin, A, Ruotolo, G, Castagna, A, Masina, M, Cimino, R, Pinciaroli, A, Tripodi, G, Cannistrà, U, Cassadonte, F, Vatrano, M, Scaglione, L, Fogliacco, P, Muzzuilini, C, Romano, F, Padovani, A, Rozzini, L, Cagnin, A, Fragiacomo, F, Desideri, G, Liberatore, E, Bruni, A, Orsitto, G, Franco, M, Bonfrate, L, Bonetto, M, Pizio, N, Magnani, G, Cecchetti, G, Longo, A, Bubba, V, Marinan, L, Cotelli, M, Turla, M, Sessa, M, Abruzzi, L, Castoldi, G, Lovetere, D, Musacchio, C, Novello, M, Cavarape, A, Bini, A, Leonardi, A, Seneci, F, Grimaldi, W, Fimognari, F, Bambara, V, Saitta, A, Corica, F, Braga, M, Ettorre, E, Camellini, C, Annoni, G, Crescenzo, A, Noro, G, Turco, R, Ponzetto, M, Giuseppe, L, Mazzei, B, Maiuri, G, Costaggiu, D, Damato, R, Formilan, M, Patrizia, G, Santuari, L, Gallucci, M, Paragona, M, Bini, P, Modica, D, Abati, C, Clerici, M, Barbera, I, Nigroimperiale, F, Manni, A, Votino, C, Castiglioni, C, Degl'Innocenti, M, Moscatelli, G, Guerini, S, Casini, C, Dini, D, D'Imporzano, E, Denotariis, S, Bonometti, F, Paolillo, C, Riccardi, A, Tiozzo, A, Samy Salama Fahmy, A, Dibari, M, Vanni, S, Scarpa, A, Zara, D, Ranieri, P, Alessandro, M, Pezzoni, D, Platto, C, D'Ambrosio, V, Ivaldi, C, Milia, P, Desalvo, F, Solaro, C, Strazzacappa, M, Cazzadori, M, Confente, S, Grasso, M, Troisi, E, Guerini, V, Bernardini, B, Corsini, C, Boffelli, S, Filippi, A, Delpin, K, Faraci, B, Bertoletti, E, Vannucci, M, Tesi, F, Crippa, P, Malighetti, A, Caltagirone, C, Disant, S, Bettini, D, Maltese, F, Abruzzese, G, Cosimo, D, Azzini, M, Colombo, M, Procino, G, Fascendini, S, Barocco, F, Del, P, Mazzone, A, Riva, E, Dell'Acqua, D, Cottino, M, Vezzadini, G, Avanzi, S, Brambilla, C, Orini, S, Sgrilli, F, Mello, A, Lombardi, L, Muti, E, Dijk, B, Fenu, S, Pes, C, Gareri, P, Passamonte, M, Rigo, R, Locusta, L, Caser, L, Rosso, G, Cesarini, S, Cozzi, R, Santini, C, Carbone, P, Cazzaniga, I, Lovati, R, Cantoni, A, Ranzani, P, Barra, D, Pompilio, G, Dimori, S, Cernesi, S, Riccò, C, Piazzolla, F, Capittini, E, Rota, C, Gottardi, F, Merla, L, Barelli, A, Millul, A, Morrone, G, Bigolari, M, Macchi, M, Zambon, F, Pizzorni, C, Dicasaleto, G, Menculini, G, Marcacci, M, Catanese, G, Sprini, D, Dicasalet, T, Bocci, M, Borga, S, Caironi, P, Cingolani, E, Avalli, L, Greco, G, Citerio, G, Gandini, L, Cornara, G, Lerda, R, Brazzi, L, Simeone, F, Caciorgna, M, Alampi, D, Francesconi, S, Beck, E, Antonini, B, Vettoretto, K, Meggiolaro, M, Garofalo, E, Notaro, S, Varutti, R, Bassi, F, Mistraletti, G, Marino, A, Rona, R, Rondelli, E, Riva, I, Cortegiani, A, Vitale, F, Pistidda, L, D'Andrea, R, Querci, L, Gnesin, P, Todeschini, M, Lugano, M, Castelli, G, Ortolani, M, Cotoia, A, Maggiore, S, Ditizio, L, Graziani, R, Testa, I, Ferretti, E, Castioni, C, Lombardi, F, Caserta, R, Pasqua, M, Simoncini, S, Baccarini, F, Rispoli, M, Grossi, F, Cancelliere, L, Carnelli, M, Puccini, F, Biancofiore, G, Siniscalchi, A, Laici, C, Mossello, E, Torrini, M, Pasetti, G, Palmese, S, Oggioni, R, Mangani, V, Pini, S, Martelli, M, Rigo, E, Zuccalà, F, Cherri, A, Spina, R, Calamai, I, Petrucci, N, Caicedo, A, Ferri, F, Gritti, P, Brienza, N, Fonnesu, R, Dessena, M, Fullin, G, Saggioro, D., Monacelli, F, Signori, A, Marengoni, A, Di Santo, S, Rossi, E, Valsecchi, M, Morandi, A, and Bellelli, G

Subjects
medicine.medical_specialty, multimorbidity, Delirium, multimorbidity, Socio-culturale, Older patients, mental disorders, Medicine, Dementia, Multimorbidity, Humans, Medical history, LS4_4, General Nursing, Aged, Aged, 80 and over, Routine screening, business.industry, Health Policy, Delirium, General Medicine, Targeted interventions, medicine.disease, Hospitals, Cross-Sectional Studies, Charlson comorbidity index, Emergency medicine, Geriatrics and Gerontology, medicine.symptom, business
Abstract

Objectives Delirium is commonly seen in older adults with multimorbidity, during a hospitalization, resulting from the interplay between predisposing factors such as advanced age, frailty, and dementia, and a series of precipitating factors. The association between delirium and specific multimorbidity is largely unexplored so far although of potential key relevance for targeted interventions. The aim of the study was to check for a potential association of multimorbidity with delirium in a large cohort of older patients hospitalized for an acute medical or surgical condition. Design This is a cross-sectional study nested in the 2017 Delirium Day project. Setting and Participants The study includes 1829 hospitalized patients (age: 81.8, SD: 5.5). Of them, 419 (22.9%) had delirium. Methods Sociodemographic and medical history were collected. The 4AT was used to assess the presence of delirium. The Charlson Comorbidity index was used to assess multimorbidity. Results The results identified neurosensorial multimorbidity as the most prevalent, including patients with dementia, cerebrovascular diseases, and sensory impairments. In light of the highest co-occurrence of 3 neurosensorial chronic conditions, we could hypothesize that a baseline altered brain functional and neural connectivity might determine the vulnerability signature for incipient overall system disruption in presence of acute insults. Conclusions and Implications Eventually, our findings moved a step forward in supporting the key importance of routine screening for sensory impairments and cognitive status of older patients for the highest risk of in-hospital delirium. In fact, preventive interventions could be particularly relevant and effective in preventing delirium in such vulnerable populations and might help refining this early diagnosis.

Published
2022

32. Meta-analyses of sulodexide and other drugs in prevention and treatment of post-thrombotic syndrome.

Author

POMPILIO, G., MONREAL, M., PESAVENTO, R., and INTEGLIA, D.

Abstract

Objective: Post-thrombotic syndrome (PTS) is a common chronic complication of deep vein thrombosis. Elastic compression (ECS) is the common pillar for PTS prevention and treatment, while the pharmacological approach for PTS includes direct oral anticoagulants (DOACs) and venoactive drugs (VADs) for prevention and treatment, respectively. Sulodexide can be used both in long-term prevention and in the treatment of PTS. To better understand the efficacy of the main drugs used in the prevention (sulodexide or DOACs) and treatment of PTS (sulodexide or VADs), pairwise meta-analyses of observational studies and RCTs were conducted. Materials and methods: A literature search in MEDLINE, Embase, and Cochrane Library for observational studies and RCTs was performed. Incidence of PTS, reduction in PTS signs or symptoms and proportion of patients with complete venous ulcers healing were the primary outcomes for prevention and treatment of PTS, respectively. Fixed and Random effect model meta-analyses were performed. Heterogeneity and publication bias were assessed. R® software was used for the analysis. Results: 893 articles were identified during the search. 8 observational studies (6 for DOACs and 2 for sulodexide) and 2 RCTs for sulodexide, out of the 11 studies included in the qualitative synthesis, were included for the prevention and treatment of PTS, respectively. Meta-analyses of observational studies showed an overall incidence of PTS of 15% (95% CI, 11-19) for sulodexide, and a 50% reduction of PTS signs and/or symptoms for rivaroxaban compared to warfarin (OR, 0.50; 95% CI, 0.38-0.65). The overall estimate of the two sulodexide RCTs showed a significant improvement in complete ulcer healing, with an OR of 2.32 (95% CI, 1.49-3.63). Conclusions: In prevention of PTS, sulodexide and rivaroxaban showed a low incidence and reduced risk of PTS respectively, while in PTS treatment, sulodexide was significantly effective in the complete ulcers healing. These results confirm the need to move from the traditional single-pillar approach with elastic compression stockings to a more effective multi-pillar approach, tailoring the treatment to each individual patient. [ABSTRACT FROM AUTHOR]

Published
2022

35. Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm

Author

Edoardo Conte, Saima Mushtaq, Chiara Martini, Mauro Pepi, Gianluca Pontone, Andrea Baggiano, Martin A. Janich, Stefano Scafuri, Marco Guglielmo, Alberto Formenti, Aurora Bracciani, Giuseppe Muscogiuri, Lorenzo Bonfanti, Marco Gatti, Andrea Annoni, Giulio Pompilio, Serena Dell'Aversana, Francesca Ricci, Maria Elisabetta Mancini, Paola Gripari, Laura Fusini, Daniele Andreini, Mark G. Rabbat, Andrea Igoren Guaricci, Muscogiuri, G, Martini, C, Gatti, M, Dell'Aversana, S, Ricci, F, Guglielmo, M, Baggiano, A, Fusini, L, Bracciani, A, Scafuri, S, Andreini, D, Mushtaq, S, Conte, E, Gripari, P, Annoni, A, Formenti, A, Mancini, M, Bonfanti, L, Guaricci, A, Janich, M, Rabbat, M, Pompilio, G, Pepi, M, and Pontone, G

Subjects
Artificial intelligence, Image quality, Noise reduction, Contrast Media, Gadolinium, Late gadolinium enhancement, Standard deviation, Deep Learning, Signal-to-noise ratio, Contrast-to-noise ratio, Image noise, Humans, Medicine, Ischemic cardiomyopathy, Image resolution, Deep learning reconstruction, business.industry, Magnetic Resonance Imaging, Feasibility Studies, Cardiomyopathies, Cardiology and Cardiovascular Medicine, business, Algorithms
Abstract

Background: Despite the low spatial resolution of 2D-multisegment late gadolinium enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of standard 2D single segmented inversion recovery gradient echo late gadolinium enhancement sequences (2D-SSLGE). The aim of the study is to assess the feasibility and comparison of 2D-MSLGE reconstructed with artificial intelligence reconstruction deep learning noise reduction (NR) algorithm compared to standard 2D-SSLGE in consecutive patients with ischemic cardiomyopathy (ICM). Methods: Fifty-seven patients with known ICM referred for a clinically indicated CMR were enrolled in this study. 2D-MSLGE were reconstructed using a growing level of NR (0%,25%,50%,75%and 100%). Subjective image quality, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were evaluated in each dataset and compared to standard 2D-SSLGE. Moreover, diagnostic accuracy, LGE mass and scan time were compared between 2D-MSLGE with NR and 2D-SSLGE. Results: The application of NR reconstruction ≥50% to 2D-MSLGE provided better subjective image quality, CNR and SNR compared to 2D-SSLGE (p < 0.01). The best compromise in terms of subjective and objective image quality was observed for values of 2D-MSLGE 75%, while no differences were found in terms of LGE quantification between 2D-MSLGE versus 2D-SSLGE, regardless the NR applied. The sensitivity, specificity, negative predictive value, positive predictive value and accuracy of 2D-MSLGE NR 75% were 87.77%,96.27%,96.13%,88.16% and 94.22%, respectively. Time of acquisition of 2D-MSLGE was significantly shorter compared to 2D-SSLGE (p < 0.01). Conclusion: When compared to standard 2D-SSLGE, the application of NR reconstruction to 2D-MSLGE provides superior image quality with similar diagnostic accuracy.

Published
2021

36. Ca2+ dysregulation in cardiac stromal cells sustains fibro-adipose remodeling in Arrhythmogenic Cardiomyopathy and can be modulated by flecainide

Author

Angela S. Maione, Pawan Faris, Lara Iengo, Valentina Catto, Luca Bisonni, Francesco Lodola, Sharon Negri, Michela Casella, Anna Guarino, Gianluca Polvani, Marina Cerrone, Claudio Tondo, Giulio Pompilio, Elena Sommariva, Francesco Moccia, Maione, A, Faris, P, Iengo, L, Catto, V, Bisonni, L, Lodola, F, Negri, S, Casella, M, Guarino, A, Polvani, G, Cerrone, M, Tondo, C, Pompilio, G, Sommariva, E, and Moccia, F

Subjects
Flecainide, CaMKII, Cardiac mesenchymal stromal cell, Store-operated Ca2+ entry, Arrhythmogenic cardiomyopathy, Calcium signalling, General Medicine, General Biochemistry, Genetics and Molecular Biology
Abstract

Background Cardiac mesenchymal stromal cells (C-MSC) were recently shown to differentiate into adipocytes and myofibroblasts to promote the aberrant remodeling of cardiac tissue that characterizes arrhythmogenic cardiomyopathy (ACM). A calcium (Ca2+) signaling dysfunction, mainly demonstrated in mouse models, is recognized as a mechanism impacting arrhythmic risk in ACM cardiomyocytes. Whether similar mechanisms influence ACM C-MSC fate is still unknown. Thus, we aim to ascertain whether intracellular Ca2+ oscillations and the Ca2+ toolkit are altered in human C-MSC obtained from ACM patients, and to assess their link with C-MSC-specific ACM phenotypes. Methods and results ACM C-MSC show enhanced spontaneous Ca2+ oscillations and concomitant increased Ca2+/Calmodulin dependent kinase II (CaMKII) activation compared to control cells. This is manly linked to a constitutive activation of Store-Operated Ca2+ Entry (SOCE), which leads to enhanced Ca2+ release from the endoplasmic reticulum through inositol-1,4,5-trisphosphate receptors. By targeting the Ca2+ handling machinery or CaMKII activity, we demonstrated a causative link between Ca2+ oscillations and fibro-adipogenic differentiation of ACM C-MSC. Genetic silencing of the desmosomal gene PKP2 mimics the remodelling of the Ca2+ signalling machinery occurring in ACM C-MSC. The anti-arrhythmic drug flecainide inhibits intracellular Ca2+ oscillations and fibro-adipogenic differentiation by selectively targeting SOCE. Conclusions Altogether, our results extend the knowledge of Ca2+ dysregulation in ACM to the stromal compartment, as an etiologic mechanism of C-MSC-related ACM phenotypes. A new mode of action of flecainide on a novel mechanistic target is unveiled against the fibro-adipose accumulation in ACM.

Published
2022

37. GCN5 contributes to intracellular lipid accumulation in human primary cardiac stromal cells from patients affected by Arrhythmogenic cardiomyopathy

Author

Chiara Volani, Alessandra Pagliaro, Johannes Rainer, Giuseppe Paglia, Benedetta Porro, Ilaria Stadiotti, Luisa Foco, Elisa Cogliati, Adolfo Paolin, Costanza Lagrasta, Caterina Frati, Emilia Corradini, Angela Falco, Theresa Matzinger, Anne Picard, Benedetta Ermon, Silvano Piazza, Marzia De Bortoli, Claudio Tondo, Réginald Philippe, Andrea Medici, Alexandros A. Lavdas, Michael J.F. Blumer, Giulio Pompilio, Elena Sommariva, Peter P. Pramstaller, Jakob Troppmair, Viviana Meraviglia, Alessandra Rossini, Volani, C, Pagliaro, A, Rainer, J, Paglia, G, Porro, B, Stadiotti, I, Foco, L, Cogliati, E, Paolin, A, Lagrasta, C, Frati, C, Corradini, E, Falco, A, Matzinger, T, Picard, A, Ermon, B, Piazza, S, De Bortoli, M, Tondo, C, Philippe, R, Medici, A, Lavdas, A, Blumer, M, Pompilio, G, Sommariva, E, Pramstaller, P, Troppmair, J, Meraviglia, V, and Rossini, A

Subjects
reactive oxygen specie, Adipogenesis, Arrhythmogenic cardiomyopathy, Cell Biology, human cardiac stromal cell, Lipids, Death, Sudden, Cardiac, cellular redox mechanism, Humans, Molecular Medicine, Stromal Cells, intracellular lipid accumulation, histone acetyltransferase GCN5, Arrhythmogenic Right Ventricular Dysplasia
Abstract

Arrhythmogenic cardiomyopathy (ACM) is a genetic disease associated with sudden cardiac death and cardiac fibro-fatty replacement. Over the last years, several works have demonstrated that different epigenetic enzymes can affect not only gene expression changes in cardiac diseases but also cellular metabolism. Specifically, the histone acetyltransferase GCN5 is known to facilitate adipogenesis and modulate cardiac metabolism in heart failure. Our group previously demonstrated that human primary cardiac stromal cells (CStCs) contribute to adipogenesis in the ACM pathology. Thus, this study aims to evaluate the role of GCN5 in ACM intracellular lipid accumulation. To do so, CStCs were obtained from right ventricle biopsies of ACM patients and from samples of healthy cadaveric donors (CTR). GCN5 expression was increased both in ex vivo and in vitro ACM samples compared to CTR. When GCN5 expression was silenced or pharmacologically inhibited by the administration of MB-3, we observed a reduction in lipid accumulation and a mitigation of reactive oxygen species (ROS) production in ACM CStCs. In agreement, transcriptome analysis revealed that the presence of MB-3modified the expression of pathways related to cellular redox balance. Altogether, our findings suggest that GCN5 inhibition reduces fat accumulation in ACM CStCs, partially by modulating intracellular redox balance pathways.

Published
2022

38. Liraglutide preserves CD34+ stem cells from dysfunction Induced by high glucose exposure

Author

Annalisa Sforza, Vera Vigorelli, Erica Rurali, Gianluca Lorenzo Perrucci, Elisa Gambini, Martina Arici, Alessia Metallo, Raffaella Rinaldi, Paolo Fiorina, Andrea Barbuti, Angela Raucci, Elena Sacco, Marcella Rocchetti, Giulio Pompilio, Stefano Genovese, Maria Cristina Vinci, Sforza, A, Vigorelli, V, Rurali, E, Perrucci, G, Gambini, E, Arici, M, Metallo, A, Rinaldi, R, Fiorina, P, Barbuti, A, Raucci, A, Sacco, E, Rocchetti, M, Pompilio, G, Genovese, S, and Vinci, M

Subjects
Type 2 diabetes mellitu, hematopoietic stem progenitor cell, GLP-1 receptor agonist, BIO/09 - FISIOLOGIA, Endocrinology, Diabetes and Metabolism, CD34+ hematopoietic stem progenitor cells, Cardiovascular disease, Type 2 diabetes mellitus, CD34, Cardiology and Cardiovascular Medicine, +
Abstract

Background Glucagon like peptide-1 receptor agonists (GLP-1RAs) have shown to reduce mortality and cardiovascular events in patients with type 2 diabetes mellitus (T2DM). Since the impairment in number and function of vasculotrophic circulating CD34+ hematopoietic stem progenitor cells (HSPCs) in T2D has been reported to increase cardiovascular (CV) risk, we hypothesized that one of the mechanisms whereby GLP-1 RAs exert CV protective effects may be related to the ability to improve CD34+ HSPC function. Methods In cord blood (CB)-derived CD34+ HSPC, the expression of GLP-1 receptor (GLP-1R) mRNA, receptor protein and intracellular signaling was evaluated by RT-qPCR and Western Blot respectively. CD34+ HSPCs were exposed to high glucose (HG) condition and GLP-1RA liraglutide (LIRA) was added before as well as after functional impairment. Proliferation, CXCR4/SDF-1α axis activity and intracellular ROS production of CD34+ HSPC were evaluated. Results CD34+ HSPCs express GLP-1R at transcriptional and protein level. LIRA treatment prevented and rescued HSPC proliferation, CXCR4/SDF-1α axis activity and metabolic imbalance from HG-induced impairment. LIRA stimulation promoted intracellular cAMP accumulation as well as ERK1/2 and AKT signaling activation. The selective GLP-1R antagonist exendin (9–39) abrogated LIRA-dependent ERK1/2 and AKT phosphorylation along with the related protective effects. Conclusion We provided the first evidence that CD34+ HSPC express GLP-1R and that LIRA can favorably impact on cell dysfunction due to HG exposure. These findings open new perspectives on the favorable CV effects of GLP-1 RAs in T2DM patients.

Published
2022

39. Quantitative coronary computed tomography assessment for differentiating between total occlusions and severe stenoses.

Author

Masuda S, Revaiah PC, Kageyama S, Tsai TY, Miyashita K, Tobe A, Puskas JD, Teichgräber U, Schneider U, Doenst T, Tanaka K, De Mey J, La Meir M, Mushtaq S, Bartorelli AL, Pompilio G, Garg S, Andreini D, Onuma Y, and Serruys PW

Subjects
Humans, Male, Female, Middle Aged, Aged, Diagnosis, Differential, Reproducibility of Results, Multidetector Computed Tomography, Radiographic Image Interpretation, Computer-Assisted, Coronary Stenosis diagnostic imaging, Coronary Angiography, Predictive Value of Tests, Computed Tomography Angiography, Severity of Illness Index, Coronary Vessels diagnostic imaging, Coronary Occlusion diagnostic imaging, Plaque, Atherosclerotic
Abstract

Backgrounds: The impact of quantitative assessment to differentiate total occlusions (TOs) from severe stenoses on coronary computed tomography angiography (CCTA) remains unknown., Objective: This study investigated whether quantitative characteristics assessed on CCTA could help differentiate a TO from a severe stenosis on invasive coronary angiography (ICA)., Methods: This study is a sub-analysis of the FASTTRACK CABG (NCT04142021) in which both CCTA and ICA were routinely performed. Quantitative analysis was performed with semi-automated CCTA plaque-analysis software. Blinded analysts compared TOs on CCTA, defined as a complete lack of contrast opacification within the coronary occlusion, with corresponding ICA., Results: Eighty-four TOs were seen on CCTA in 59 of the 114 patients enrolled in the trial. The concordance in diagnosing a TO between ICA and CCTA was 56.0% (n ​= ​47). Compared to severe stenoses, TOs had a significantly longer lesion length (25.1 ​± ​23.0 ​mm vs 9.4 ​± ​11.2 ​mm, P ​< ​0.001). The best cut-off value to differentiate a TO from severe stenosis was a lesion length of 5.5 ​mm (area under the curve 0.77, 95% CI: 0.66-0.87), with a 91.1% sensitivity and 61.1% specificity. Dense calcium percentage atheroma volume (PAV) was significantly higher in TOs compared to severe stenoses (18.7 ​± ​19.6% vs. 6.6 ​± ​13.0%, P ​< ​0.001), whilst the opposite was seen for fibro-fatty PAV (31.3 ​± ​14.2% vs. 19.5 ​± ​10.5%, P ​< ​0.001). On a multivariable logistic regression analysis, lesion length (>5.5 ​mm) was the only parameter associated with differentiating a TO from a severe stenosis., Conclusion: In quantitative CCTA analysis, a lesion length >5.5 ​mm was the only independent predictor differentiating a TO from a severe stenosis., Nct Registration Number: NCT04142021., Competing Interests: Declaration of competing interest Dr. Masuda received a grant from TERUMO corporation outside the submitted work. Dr. Miyashita received research grants from OrbusNeich Medical K.K., outside the submitted work. Dr. Tobe received a grant from the Fukuda foundation for medical technology. Dr. Scot received consultancy fees from Biosensors. Dr. P.W.S. reported consulting fees from SMT, Novartis, Meril Life, Philips, and Xeltis. All other authors have nothing to declare., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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40. Cardiac computed tomography-derived coronary artery volume to myocardial mass in patients with severe coronary artery disease.

Author

Kageyama S, Taylor CA, Updegrove A, Garg S, Masuda S, Revaiah PC, Kageyama M, Tsai TY, Miyashita K, Tobe A, Tanaka K, De Mey J, La Meir M, Schneider U, Doenst T, Teichgräber U, Saima M, Pompilio G, Andreini D, Pontone G, Puskas JD, Gupta H, Morel MA, Serruys PW, and Onuma Y

Subjects
Humans, Male, Female, Aged, Middle Aged, Reproducibility of Results, Multidetector Computed Tomography, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease physiopathology, Coronary Angiography, Computed Tomography Angiography, Coronary Vessels diagnostic imaging, Coronary Vessels physiopathology, Predictive Value of Tests, Severity of Illness Index, Fractional Flow Reserve, Myocardial, Registries, Coronary Artery Bypass
Abstract

Background: Coronary artery lumen volume (V) to myocardial mass (M) ratio (V/M) can show the mismatch between epicardial coronary arteries and the underlying myocardium., Methods: The V, M and V/M were obtained from the coronary computed tomography angiography (CCTA) of patients in the FAST-TRACK CABG study, the first-in-human trial of coronary artery bypass grafting (CABG) guided solely by CCTA and fractional flow reserve derived from CCTA (FFR CT ) in patients with complex coronary artery disease (CAD). The correlations between V/M ratios and baseline characteristics were determined and compared with those from the ADVANCE registry, an unselected cohort of historical controls with chronic CAD., Results: The V/M ratio was obtained in 106 of the 114 pre-CABG CCTAs. Mean age was 65.6 years and 87% of them were male. The anatomical SYNTAX score from CCTA was significantly higher than the functional SYNTAX score derived using FFR CT [43.1 (15.2) vs 41.1 (16.5), p ​< ​0.001]. Mean V, M, and V/M were 2204 ​mm 3 , 137 ​g, and 16.5 ​mm 3 /g, respectively. There were weak negative correlations between V and anatomical and functional SYNTAX scores (Pearson's r ​= ​-0.26 and -0.34). V and V/M had a strong correlation (r ​= ​0.82). The V/M ratio in the current study was significantly lower than that in the ADVANCE registry (median 16.1 vs. 24.8 [1st quartile 20.1])., Conclusion: Systematically smaller V/M ratios were found in this population with severe CAD requiring CABG compared to an unselected cohort with chronic CAD. The V/M ratio could provide additional non-invasive assessment of CAD especially when combined with FFR CT ., Competing Interests: Declaration of competing interest Dr Serruys has received consultancy fees from Philips/Volcano, SMT, Novartis, Xeltis, Merillife. Dr Garg receives consulting fee from Biosensors. Dr Puskas reports consulting fees from Medtronic, Atricure, Medistim, Edwards Life Science, and royalty payments from Scanlan. Dr Gupta reports an institutional grant from Siemens Health Solutions. Dr Garg reported consulting fees from Biosensors. Dr Taylor and Dr Rogers are employees of HeatFlow Inc. including salary and equity. Dr Thomsen is an employee of GE HealthCare. Dr Pontone reports grants and consultant fees from GE HealthCare, Bracco, and HeartFlow, Payment honoraria from GE HealthCare and HeartFlow, and payment for expert testimony from GE HealthCare. All other authors have no conflict of interest to declare. All other authors have no conflict of interest to declare., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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41. Exploring the administrative burden faced by hematologists: a comprehensive study in Italy.

Author

Petruzzelli D, Vignetti M, Trasarti S, Sportoletti P, Torre SD, Cairoli R, Leone FPC, Pompilio G, Gullì M, Hajdukova EB, and Integlia D

Abstract

Background: Administrative burdens have been identified as a major issue impacting patient care, professional practice, and the overall efficiency of healthcare systems. The aim of this study is to assess the administrative burden faced by Italian hematologists., Methods: A cross-sectional survey that included both closed-ended quantitative questions and open-ended free text answer options was administered to 1,570 hematologists working with malignancies and members of Italian GIMEMA Foundation - Franco Mandelli ONLUS and the Italian Linfomi Foundation (FIL). The survey was conducted online from May 24 to June 30, 2023. Descriptive statistics were computed for the quantitative data to clearly summarize the responses and descriptive analysis of free text responses was carried out., Results: Surveyed hematologists spend an average of 47.07% of their time on administrative tasks, with 63.22% (n = 110) of respondents reporting spending at least half of their time on these activities. More than half (57.47%, n = 100) reported that "Patient care" is the medical task most affected by a lack of time. Additionally, 55.17% (n = 96) reported experiencing burnout in the past 6 months, with filling out "Forms" being identified as the top contributing administrative task by 27.59% (n = 48) of respondents, followed by "Scheduling" (24.71%, n = 43) and "Managing IT system failures" (21.84%, n = 38). Nearly half of the surveyed hematologists (45.40%, n  =  = 79) identified patient care as the top priority requiring more time., Conclusions: The study confirms that the administrative workload of hematologists has a significant impact on patient care, communication, and burnout risk, reducing the time available for patient care, leading to exhaustion and concern about clinical errors., (© 2024 The Authors.)

Published
2024
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42. Mechanisms of myocardial reverse remodelling and its clinical significance: A scientific statement of the ESC Working Group on Myocardial Function.

Author

Falcão-Pires I, Ferreira AF, Trindade F, Bertrand L, Ciccarelli M, Visco V, Dawson D, Hamdani N, Van Laake LW, Lezoualc'h F, Linke WA, Lunde IG, Rainer PP, Abdellatif M, Van der Velden J, Cosentino N, Paldino A, Pompilio G, Zacchigna S, Heymans S, Thum T, and Tocchetti CG

Subjects
Humans, Prognosis, Cardiovascular Diseases therapy, Cardiovascular Diseases physiopathology, Europe, Clinical Relevance, Ventricular Remodeling physiology
Abstract

Cardiovascular disease (CVD) is the leading cause of morbimortality in Europe and worldwide. CVD imposes a heterogeneous spectrum of cardiac remodelling, depending on the insult nature, that is, pressure or volume overload, ischaemia, arrhythmias, infection, pathogenic gene variant, or cardiotoxicity. Moreover, the progression of CVD-induced remodelling is influenced by sex, age, genetic background and comorbidities, impacting patients' outcomes and prognosis. Cardiac reverse remodelling (RR) is defined as any normative improvement in cardiac geometry and function, driven by therapeutic interventions and rarely occurring spontaneously. While RR is the outcome desired for most CVD treatments, they often only slow/halt its progression or modify risk factors, calling for novel and more timely RR approaches. Interventions triggering RR depend on the myocardial insult and include drugs (renin-angiotensin-aldosterone system inhibitors, beta-blockers, diuretics and sodium-glucose cotransporter 2 inhibitors), devices (cardiac resynchronization therapy, ventricular assist devices), surgeries (valve replacement, coronary artery bypass graft), or physiological responses (deconditioning, postpartum). Subsequently, cardiac RR is inferred from the degree of normalization of left ventricular mass, ejection fraction and end-diastolic/end-systolic volumes, whose extent often correlates with patients' prognosis. However, strategies aimed at achieving sustained cardiac improvement, predictive models assessing the extent of RR, or even clinical endpoints that allow for distinguishing complete from incomplete RR or adverse remodelling objectively, remain limited and controversial. This scientific statement aims to define RR, clarify its underlying (patho)physiologic mechanisms and address (non)pharmacological options and promising strategies to promote RR, focusing on the left heart. We highlight the predictors of the extent of RR and review the prognostic significance/impact of incomplete RR/adverse remodelling. Lastly, we present an overview of RR animal models and potential future strategies under pre-clinical evaluation., (© 2024 European Society of Cardiology.)

Published
2024
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43. Impaired endothelial function in duchenne muscular dystrophy-associated cardiomyopathy: Insights from hiPSC-derived endothelial cells.

Author

Rabino M, Cauteruccio M, Rovina D, Sommariva E, Pompilio G, and Zacchigna S

Subjects
Humans, Endothelium, Vascular metabolism, Endothelium, Vascular physiopathology, Endothelium, Vascular pathology, Muscular Dystrophy, Duchenne physiopathology, Muscular Dystrophy, Duchenne complications, Muscular Dystrophy, Duchenne metabolism, Muscular Dystrophy, Duchenne pathology, Cardiomyopathies physiopathology, Cardiomyopathies metabolism, Cardiomyopathies pathology, Induced Pluripotent Stem Cells metabolism, Endothelial Cells metabolism, Endothelial Cells pathology
Published
2024
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44. Investigating mitochondrial remodelling in Arrhythmogenic Cardiomyopathy.

Author

Medici A, Volani C, Philippe R, Lavdas A, Blumer M, Sommariva E, Pompilio G, Troppmair J, and Rossini A

Subjects
Humans, Animals, Myocytes, Cardiac metabolism, Myocytes, Cardiac pathology, Mitochondria, Heart metabolism, Mitochondria, Heart pathology, Arrhythmogenic Right Ventricular Dysplasia physiopathology, Arrhythmogenic Right Ventricular Dysplasia metabolism, Arrhythmogenic Right Ventricular Dysplasia genetics
Published
2024
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45. Proteomics analysis on aortic smooth muscle cells reveals new potential targets for the treatment of Marfan syndrome-associated thoracic aortic aneurysm.

Author

Rega S, Bouhuis S, Vescio M, Gaspardo A, Munno M, Pattini L, Banfi C, Pompilio G, and Perrucci GL

Subjects
Humans, Cells, Cultured, Animals, Marfan Syndrome metabolism, Marfan Syndrome complications, Marfan Syndrome diagnosis, Marfan Syndrome genetics, Proteomics, Aortic Aneurysm, Thoracic metabolism, Aortic Aneurysm, Thoracic pathology, Myocytes, Smooth Muscle metabolism, Myocytes, Smooth Muscle pathology, Aorta, Thoracic metabolism, Aorta, Thoracic pathology, Muscle, Smooth, Vascular metabolism, Muscle, Smooth, Vascular pathology, Muscle, Smooth, Vascular drug effects
Published
2024
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46. Coronary bypass surgery guided by computed tomography in a low-risk population.

Author

Serruys PW, Kageyama S, Pompilio G, Andreini D, Pontone G, Mushtaq S, La Meir M, De Mey J, Tanaka K, Doenst T, Teichgräber U, Schneider U, Puskas JD, Narula J, Gupta H, Agarwal V, Leipsic J, Masuda S, Kotoku N, Tsai TY, Garg S, Morel MA, and Onuma Y

Subjects
Humans, Male, Female, Middle Aged, Aged, Prospective Studies, Vascular Patency physiology, Coronary Artery Bypass methods, Feasibility Studies, Coronary Artery Disease surgery, Coronary Artery Disease diagnostic imaging, Computed Tomography Angiography methods, Coronary Angiography methods
Abstract

Background and Aims: In patients with three-vessel disease and/or left main disease, selecting revascularization strategy based on coronary computed tomography angiography (CCTA) has a high level of virtual agreement with treatment decisions based on invasive coronary angiography (ICA)., Methods: In this study, coronary artery bypass grafting (CABG) procedures were planned based on CCTA without knowledge of ICA. The CABG strategy was recommended by a central core laboratory assessing the anatomy and functionality of the coronary circulation. The primary feasibility endpoint was the percentage of operations performed without access to the ICA. The primary safety endpoint was graft patency on 30-day follow-up CCTA. Secondary endpoints included topographical adequacy of grafting, major adverse cardiac and cerebrovascular (MACCE), and major bleeding events at 30 days. The study was considered positive if the lower boundary of confidence intervals (CI) for feasibility was ≥75% (NCT04142021)., Results: The study enrolled 114 patients with a mean (standard deviation) anatomical SYNTAX score and Society of Thoracic Surgery score of 43.6 (15.3) and 0.81 (0.63), respectively. Unblinding ICA was required in one case yielding a feasibility of 99.1% (95% CI 95.2%-100%). The concordance and agreement in revascularization planning between the ICA- and CCTA-Heart Teams was 82.9% with a moderate kappa of 0.58 (95% CI 0.50-0.66) and between the CCTA-Heart Team and actual treatment was 83.7% with a substantial kappa of 0.61 (95% CI 0.53-0.68). The 30-day follow-up CCTA in 102 patients (91.9%) showed an anastomosis patency rate of 92.6%, whilst MACCE was 7.2% and major bleeding 2.7%., Conclusions: CABG guided by CCTA is feasible and has an acceptable safety profile in a selected population of complex coronary artery disease., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Published
2024
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47. Persistent epigenetic signals propel a senescence-associated secretory phenotype and trained innate immunity in CD34 + hematopoietic stem cells from diabetic patients.

Author

Vinci MC, Costantino S, Damiano G, Rurali E, Rinaldi R, Vigorelli V, Sforza A, Carulli E, Pirola S, Mastroiacovo G, Raucci A, El-Osta A, Paneni F, and Pompilio G

Subjects
Humans, Senescence-Associated Secretory Phenotype, Hematopoietic Stem Cells metabolism, Antigens, CD34 metabolism, Epigenesis, Genetic, Histone-Lysine N-Methyltransferase genetics, Histone-Lysine N-Methyltransferase metabolism, Trained Immunity, Diabetes Mellitus, Type 2 metabolism
Abstract

Background: Diabetes-induced trained immunity contributes to the development of atherosclerosis and its complications. This study aimed to investigate in humans whether epigenetic signals involved in immune cell activation and inflammation are initiated in hematopoietic stem/progenitor cells (HSPCs) and transferred to differentiated progeny., Methods and Results: High glucose (HG)-exposure of cord blood (CB)-derived HSPCs induced a senescent-associated secretory phenotype (SASP) characterized by cell proliferation lowering, ROS production, telomere shortening, up-regulation of p21 and p27genes, upregulation of NFkB-p65 transcription factor and increased secretion of the inflammatory cytokines TNFα and IL6. Chromatin immunoprecipitation assay (ChIP) of p65 promoter revealed that H3K4me1 histone mark accumulation and methyltransferase SetD7 recruitment, along with the reduction of repressive H3K9me3 histone modification, were involved in NFkB-p65 upregulation of HG-HSPCs, as confirmed by increased RNA polymerase II engagement at gene level. The differentiation of HG-HSPCs into myeloid cells generated highly responsive monocytes, mainly composed of intermediate subsets (CD 14hi CD16 + ), that like the cells from which they derive, were characterized by SASP features and similar epigenetic patterns at the p65 promoter. The clinical relevance of our findings was confirmed in sternal BM-derived HSPCs of T2DM patients. In line with our in vitro model, T2DM HSPCs were characterized by SASP profile and SETD7 upregulation. Additionally, they generated, after myeloid differentiation, senescent monocytes mainly composed of proinflammatory intermediates (CD14 hi CD16 + ) characterized by H3K4me1 accumulation at NFkB-p65 promoter., Conclusions: Hyperglycemia induces marked chromatin modifications in HSPCs, which, once transmitted to the cell progeny, contributes to persistent and pathogenic changes in immune cell function and composition., (© 2024. The Author(s).)

Published
2024
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48. Early consequences of the phospholamban mutation PLN-R14del +/- in a transgenic mouse model.

Author

Maniezzi C, Eskandr M, Florindi C, Ferrandi M, Barassi P, Sacco E, Pasquale V, Maione AS, Pompilio G, Teixeira VON, de Boer RA, Silljé HHW, Lodola F, and Zaza A

Subjects
Animals, Mice, Calcium metabolism, Calcium-Binding Proteins genetics, Calcium-Binding Proteins metabolism, Mice, Transgenic, Mutation, Myocytes, Cardiac metabolism, Sarcoplasmic Reticulum Calcium-Transporting ATPases genetics, Sarcoplasmic Reticulum Calcium-Transporting ATPases metabolism, Cardiomyopathies genetics
Abstract

Aims: The heterozygous phospholamban (PLN) mutation R14del (PLN R14del +/- ) is associated with a severe arrhythmogenic cardiomyopathy (ACM) developing in the adult. "Superinhibition" of SERCA2a by PLN R14del is widely assumed to underlie the pathogenesis, but alternative mechanisms such abnormal energy metabolism have also been reported. This work aims to (1) to evaluate Ca 2+ dynamics and energy metabolism in a transgenic (TG) mouse model of the mutation prior to cardiomyopathy development; (2) to test whether they are causally connected., Methods: Ca 2+ dynamics, energy metabolism parameters, reporters of mitochondrial integrity, energy, and redox homeostasis were measured in ventricular myocytes of 8-12 weeks-old, phenotypically silent, TG mice. Mutation effects were compared to pharmacological PLN antagonism and analyzed during modulation of sarcoplasmic reticulum (SR) and cytosolic Ca 2+ compartments. Transcripts and proteins of relevant signaling pathways were evaluated., Results: The mutation was characterized by hyperdynamic Ca 2+ handling, compatible with a loss of SERCA2a inhibition by PLN. All components of energy metabolism were depressed; myocyte energy charge was preserved under quiescence but reduced during stimulation. Cytosolic Ca 2+ buffering or SERCA2a blockade reduced O 2 consumption with larger effect in the mutant. Signaling changes suggest cellular adaptation to perturbed Ca 2+ dynamics and response to stress., Conclusions: (1) PLN R14del +/- loses its ability to inhibit SERCA2a, which argues against SERCA2a superinhibition as a pathogenetic mechanism; (2) depressed energy metabolism, its enhanced dependency on Ca 2+ and activation of signaling responses point to an early involvement of metabolic stress in the pathogenesis of this ACM model., (© 2024 Scandinavian Physiological Society. Published by John Wiley & Sons Ltd.)

Published
2024
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49. Coronary computed tomography angiography-based SYNTAX score for comprehensive assessment of advanced coronary artery disease.

Author

Kageyama S, Serruys PW, Kotoku N, Garg S, Ninomiya K, Masuda S, Morel MA, Taylor CA, Rogers C, Thomsen B, Pontone G, Pompilio G, Puskas JD, Doenst T, La Meir M, Teichgräber U, Gupta H, De Mey J, Andreini D, and Onuma Y

Subjects
Humans, Computed Tomography Angiography, Reproducibility of Results, Predictive Value of Tests, Coronary Angiography methods, Tomography, X-Ray Computed methods, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease surgery, Coronary Stenosis
Abstract

Background: Since the initial attempt to adapt the anatomical SYNTAX score (aSS) to coronary computed tomography angiography (CCTA), CCTA imaging technology has evolved, and is currently used as a "decision-maker" for revascularization strategy in complex coronary artery disease (CAD) and has rendered necessary some updating of the aSS to the CCTA modality., Objectives: The aim is to provide updated definitions of the aSS derived from CCTA in patients with complex CAD undergoing CABG., Methods: The modifications of CCTA-aSS are the following; (i) updated definition and detection criteria of total occlusion (TO) in CCTA based on length assessment, (ii) inclusion of scoring points for serial bifurcations located in one single coronary segment. (iii) inclusion of weighing score points for lesions located distal to a TO, not visualized on conventional coronary angiography, but visible in CCTA, (iv) removal of thrombus and bridging collateral items from the weighing score, considering the limited diagnostic capability of CCTA in detecting these specific lesion characteristics., Results: the updated CCTA-aSS was tested in a first-in-man study using the sole guidance of CCTA for the planning and performance of bypass surgery in complex CAD (n ​= ​114). An interobserver analysis showed excellent reproducibility (ICC ​= ​0.96, 95 ​% confidence interval 0.94-0.97)., Conclusion: The updated CCTA-aSS was implemented in a cohort of patients with complex CAD undergoing CABG with the sole guidance of CCTA and FFR CT and the Inter-reproducibility of the analysis of the updated score was found excellent. The prognostic value of the modified CCTA-aSS will be examined in future studies., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2024
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50. CCTA-based CABG SYNTAX Score: a tool to evaluate completeness of coronary segment revascularization after bypass surgery.

Author

Kotoku N, Serruys PW, Kageyama S, Garg S, Masuda S, Ninomiya K, Grau JB, Gupta H, Agarwal V, Morel MA, Doenst T, Schneider U, Tanaka K, LaMeir M, Mushtaq S, Gianluca P, Pompilio G, Teichgräber U, Puskas J, Narula J, de Mey J, Andreini D, and Onuma Y

Subjects
Humans, Coronary Angiography methods, Reproducibility of Results, Predictive Value of Tests, Coronary Artery Bypass adverse effects, Treatment Outcome, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease surgery, Percutaneous Coronary Intervention methods
Abstract

To describe the updated coronary computed tomographic angiography (CCTA)-based coronary artery bypass graft (CABG) anatomic SYNTAX Score (aSS) and assess its utility and reproducibility for assessing the completeness of revascularization after CABG. The CCTA-CABG aSS is a visual assessment using CCTA post-CABG which quantifies the failure in effectively grafting stenotic coronary segments, and therefore assesses the completeness of surgical revascularization. It is calculated by subtracting the aSS of successfully anastomosed coronary segments from the aSS of the native coronary tree. The inter-observer reproducibility of the CCTA-CABG aSS was evaluated in 45 consecutive patients with three-vessel disease with or without left main disease who underwent a CCTA 30 days (± 7 days) after CABG. The CCTA-CABG aSS was evaluated in 45 consecutive patients with 117 bypass grafts and 152 anastomoses. The median native coronary aSS was 35.0 [interquartile range (IQR) 27.0-41.0], whilst the median CCTA-CABG aSS was 13.0 (IQR 9.0-20.5). The inter-observer level of agreement for the native coronary aSS and the CCTA-CABG aSS were both substantial with respective Kappas of 0.67 and 0.61. The CCTA-CABG aSS was feasible in all patients who underwent CABG for complex coronary artery disease with substantial inter-observer reproducibility, and therefore can be used to quantify the completeness of revascularization after CABG., (© 2023. The Author(s).)

Published
2023
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