45 results on '"Pichiri I."'
Search Results
2. Hyperuricemia is associated with an increased prevalence of atrial fibrillation in hospitalized patients with type 2 diabetes
- Author
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Mantovani, A., Rigolon, R., Pichiri, I., Pernigo, M., Bergamini, C., Zoppini, G., Bonora, E., and Targher, G.
- Published
- 2016
- Full Text
- View/download PDF
3. Increased prevalence of cardiovascular disease in Type 1 diabetic patients with non-alcoholic fatty liver disease
- Author
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Targher, G., Pichiri, I., Zoppini, G., Trombetta, M., and Bonora, E.
- Published
- 2012
- Full Text
- View/download PDF
4. Risk of cardiovascular disease and chronic kidney disease in diabetic patients with non-alcoholic fatty liver disease: Just a coincidence?
- Author
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Targher, G., Chonchol, M., Pichiri, I., and Zoppini, G.
- Published
- 2011
- Full Text
- View/download PDF
5. Increased prevalence of chronic kidney disease in patients with Type 1 diabetes and non-alcoholic fatty liver
- Author
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Targher, G., Pichiri, I., Zoppini, G., Trombetta, M., and Bonora, E.
- Published
- 2012
- Full Text
- View/download PDF
6. Diabetic retinopathy is associated with an increased incidence of cardiovascular events in Type 2 diabetic patients
- Author
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Targher, G., Bertolini, L., Zenari, L., Lippi, G., Pichiri, I., Zoppini, G., Muggeo, M., and Arcaro, G.
- Published
- 2008
7. Effects on the incidence of cardiovascular events of the addition of pioglitazone versus sulfonylureas in patients with type 2 diabetes inadequately controlled with metformin (TOSCA.IT): a randomised, multicentre trial
- Author
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Vaccaro, O, Masulli, M, Nicolucci, A, Bonora, E, Del Prato, S, Maggioni, Ap, Rivellese, Aa, Squatrito, S, Giorda, Cb, Sesti, G, Mocarelli, P, Lucisano, G, Sacco, M, Signorini, S, Cappellini, F, Perriello, G, Babini, Ac, Lapolla, A, Gregori, G, Giordano, C, Corsi, L, Buzzetti, R, Clemente, G, Di Cianni, G, Iannarelli, R, Cordera, R, La Macchia, O, Zamboni, C, Scaranna, C, Boemi, M, Iovine, C, Lauro, D, Leotta, S, Dall'Aglio, E, Cannarsa, E, Tonutti, L, Pugliese, G, Bossi, Ac, Anichini, R, Dotta, F, Di Benedetto, A, Citro, G, Antenucci, D, Ricci, L, Giorgino, F, Santini, C, Gnasso, A, De Cosmo, S, Zavaroni, D, Vedovato, M, Consoli, A, Calabrese, M, di Bartolo, P, Fornengo, P, Riccardi, G, IT) study group, Thiazolidinediones Or Sulfonylureas Cardiovascular Accidents Intervention Trial (TOSCA., Collaborators: Vaccaro O, Italian Diabetes Society., D'Angelo, F, Giansanti, R, Tanase, L, Lanari, L, Testa, I, Pancani, F, Ranchelli, A, Vagheggi, P, Scatona, A, Fontana, L, Laviola, L, Tarantino, L, Ippolito, C, Gigantelli, V, Manicone, M, Conte, E, Trevisan, R, Rota, R, Corsi, A, Dodesini, Ar, Reggiani, Gm, Montesi, L, Mazzella, N, Forlani, G, Caselli, C, Di Luzio, R, Mazzotti, A, Aiello, A, Barrea, A, Musto, A, D'Amico, F, Sinagra, T, Longhitano, S, Trowpea, V, Sparti, M, Italia, S, Lisi, E, Grasso, G, Pezzino, V, Insalaco, F, Carallo, C, Scicchitano, C, De Franceschi MS, Calbucci, G, Ripani, R, Cuneo, G, Corsi, S, Romeo, F, Lesina, A, Comoglio, M, Bonetto, C, Robusto, A, Nada, E, Asprino, V, Cetraro, R, Impieri, M, Lucchese, G, Donnarumma, G, Tizio, B, Lenza, L, Paraggio, P, Tomasi, F, Dozio, N, Scalambra, E, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, O, Fariello, S, Sorrentino, Mr, Franzetti, I, Radin, R, Annunziata, F, Bonabello, La, Durante, A, Dolcino, M, Gallo, F, Mazzucchelli, C, Aleo, A, Melga, P, Briatore, L, Maggi, D, Storace, D, Cecoli, F, D'Ugo, E, Pupillo, M, Baldassarre, Mpa, Salvati, F, Minnucci, A, De Luca, A, Zugaro, A, Santarelli, L, Bosco, A, Petrella, V, La Verghetta GG, De Gregorio, A, D'Andrea, S, Giuliani, Ae, Polidoro, Wl, Sperandio, A, Sciarretta, F, Pezzella, A, Carlone, A, Potenziani, S, Venditti, C, Foffi, C, Carbone, S, Cipolloni, L, Moretti, C, Leto, G, Serra, R, Petrachi, F, Romano, I, Lacaria, E, Russo, L, Goretti, C, Sannino, C, Dolci, M, Bruselli, L, Mori, Ml, Baccetti, F, Del Freo, M, Cucinotta, D, Giunta, L, Ruffo, Mc, Cannizzaro, D, Pintaudi, B, Perrone, G, Pata, P, Ragonese, F, Lettina, G, Mancuso, T, Coppolino, A, Piatti, Pm, Monti, L, Stuccillo, M, Lucotti, P, Setola, M, Crippa, Gv, Loi, C, Oldani, M, Bottalico, Ml, Pellegata, B, Bonomo, M, Menicatti, Lsm, Resi, V, Bertuzzi, F, Disoteo, Eo, Pizzi, G, Annuzzi, G, Capaldo, B, Nappo, R, Auciello, Sm, Turco, Aa, Costagliola, L, Corte, Gd, Vallefuoco, P, Nappi, F, Vitale, M, Cocozza, S, Ciano, O, Massimino, E, Garofalo, N, Avogaro, A, Guarneri, G, Fedele, D, Sartore, G, Chilelli, Nc, Burlina, S, Bonsembiante, B, Galluzzo, A, Torregrossa, V, Mancastroppa, G, Arsenio, L, Cioni, F, Caronna, S, Papi, M, Babini, M, Santeusanio, F, Calagreti, G, Timi, A, Tantucci, A, Marino, C, Ginestra, F, Di Biagio, R, Taraborelli, M, Miccoli, R, Bianchi, C, Garofolo, M, Politi, Ks, Penno, G, Livraga, S, Calzoni, F, Mancastroppa, Glf, Corsini, E, Tedeschi, A, Gaglianò, Ms, Ippolito, G, Salutini, E, Cervellino, F, Natale, M, Salvatore, V, Zampino, A, Sinisi, R, Arcangeli, A, Zogheri, A, Guizzotti, S, Longo, R, Di Bartolo, P, Pellicano, F, Scolozzi, P, Termine, S, Luberto, A, Ballardini, G, Trojani, C, Mazzuca, P, Bruglia, M, Ciamei, M, Genghini, S, Zannoni, C, Rangel, G, Salvi, L, Zappaterreno, A, Cordone, S, Simonelli, P, Meggiorini, M, Frasheri, A, Di Pippo, C, Maglio, C, Mazzitelli, G, Rinaldi, Me, Galli, A, Romano, M, D'Angelo, P, Suraci, C, Bacci, S, Palena, Ap, Genovese, S, Mancino, M, Rondinelli, M, Capone, F, Calabretto, E, Bulgheroni, M, Bucciarelli, L, Ceccarelli, E, Fondelli, C, Santacroce, C, Guarino, E, Nigi, L, Lalli, C, Di Vizia, G, Scarponi, M, Montani, V, Di Bernardino, P, Romagni, P, Dolcetti, K, Forte, E, Tamburo, L, Perin, Pc, Prinzis, T, Gruden, G, Bruno, G, Zucco, C, Perotta, M, Marena, S, Monsignore, S, Panero, F, Ponzi, F, Carpinteri, R, Casagrande, Ml, Coletti, Mf, Balini, A, Filopanti, M, Madaschi, S, Pulcina, A, Grimaldi, F, Venturini, G, Agus, S, Pagnutti, S, Guidotti, F, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Fainelli, G, Tomasetto, E, Zoppini, G, Galletti, A, Perrone, D, Capra, C, Bianchini, F, Ceseri, M, Di Nardo, B, Sasso, E, Bartolomei, B, Suliman, I, Fabbri, G, Romano, G, Maturo, N, Nunziata, G, Capobianco, G, De Simone, G, Villa, V, Rota, G, Pentangelo, C, Carbonara, O, Caiazzo, G, Cutolo, M, Sorrentino, T, Mastrilli, V, Amelia, U, Masi, S, Corigliano, G, Gaeta, I, Armentano, V, Calatola, P, Capuano, G, Angiulli, B, Auletta, P, Petraroli, E, Iodice, Ce, Agrusta, M., Vaccaro, Olga, Masulli, Maria, Nicolucci, Antonio, Bonora, Enzo, Del Prato, Stefano, Maggioni, Aldo P, Rivellese, Angela A, Squatrito, Sebastiano, Giorda, Carlo B, Sesti, Giorgio, Mocarelli, Paolo, Lucisano, Giuseppe, Sacco, Michele, Signorini, Stefano, Cappellini, Fabrizio, Perriello, Gabriele, Babini, Anna Carla, Lapolla, Annunziata, Gregori, Giovanna, Giordano, Carla, Corsi, Laura, Buzzetti, Raffaella, Clemente, Gennaro, Di Cianni, Graziano, Iannarelli, Rossella, Cordera, Renzo, La Macchia, Olga, Zamboni, Chiara, Scaranna, Cristiana, Boemi, Massimo, Iovine, Ciro, Lauro, Davide, Leotta, Sergio, Dall'Aglio, Elisabetta, Cannarsa, Emanuela, Tonutti, Laura, Pugliese, Giuseppe, Bossi, Antonio C, Anichini, Roberto, Dotta, Francesco, Di Benedetto, Antonino, Citro, Giuseppe, Antenucci, Daniela, Ricci, Lucia, Giorgino, Francesco, Santini, Costanza, Gnasso, Agostino, De Cosmo, Salvatore, Zavaroni, Donatella, Vedovato, Monica, Consoli, Agostino, Calabrese, Maria, Di Bartolo, Paolo, Fornengo, Paolo, Riccardi, Gabriele, Maggioni, Aldo Pietro, D'Angelo, Federica, Giansanti, Roberto, Tanase, Laura, Lanari, Luigi, Testa, Ivano, Pancani, Francesca, Ranchelli, Anna, Vagheggi, Paolo, Scatona, Alessia, Fontana, Lucia, Laviola, Luigi, Tarantino, Lucia, Ippolito, Claudia, Gigantelli, Vittoria, Manicone, Mariangela, Conte, Eleonora, Trevisan, Roberto, Rota, Rossella, Corsi, Anna, Dodesini, Alessandro R., Reggiani, Giulio Marchesini, Montesi, Luca, Mazzella, Natalia, Forlani, Gabriele, Caselli, Chiara, Di Luzio, Raffaella, Mazzotti, Arianna, Aiello, Antimo, Barrea, Angelina, Musto, Antonio, D'Amico, Fiorentina, Sinagra, Tiziana, Longhitano, Sara, Trowpea, Vanessa, Sparti, Maria, Italia, Salvatore, Lisi, Enrico, Grasso, Giuseppe, Pezzino, Vincenzo, Insalaco, Federica, Carallo, Claudio, Scicchitano, Caterina, De Franceschi, Maria Serena, Calbucci, Giovanni, Ripani, Raffaella, Cuneo, Giacomo, Corsi, Simona, Giorda, Carlo B., Romeo, Francesco, Lesina, Annalisa, Comoglio, Marco, Bonetto, Caterina, Robusto, Anna, Nada, Elisa, Asprino, Vincenzo, Cetraro, Rosa, Impieri, Michelina, Lucchese, Giuseppe, Donnarumma, Giovanna, Tizio, Biagio, Lenza, Lazzaro, Paraggio, Pia, Tomasi, Franco, Dozio, Nicoletta, Scalambra, Egle, Mannucci, Edoardo, Lamanna, Caterina, Cignarelli, Mauro, Macchia, Olga La, Fariello, Stefania, Sorrentino, Maria Rosaria, Franzetti, Ivano, Radin, Raffaella, Annunziata, Francesca, Bonabello, Laura Affinito, Durante, Arianna, Dolcino, Mara, Gallo, Fiorenza, Mazzucchelli, Chiara, Aleo, Anna, Melga, Pierluigi, Briatore, Lucia, Maggi, Davide, Storace, Daniela, Cecoli, Francesca, D'Ugo, Ercole, Pupillo, Mario, Baldassarre, Maria Pompea Antonia, Salvati, Filippo, Minnucci, Anita, De Luca, Angelo, Zugaro, Antonella, Santarelli, Livia, Bosco, Angela, Petrella, Vittorio, La Verghetta, Grazia Giovanna, De Gregorio, Antonella, D'Andrea, Settimio, Giuliani, Anna Elisa, Polidoro, W. Lorella, Sperandio, Alessandra, Sciarretta, Filomena, Pezzella, Alfonso, Carlone, Angela, Potenziani, Stella, Venditti, Chiara, Foffi, Chiara, Carbone, Salvatore, Cipolloni, Laura, Moretti, Chiara, Leto, Gaetano, Serra, Rosalia, Petrachi, Francesca, Romano, Isabella, Lacaria, Emilia, Russo, Laura, Goretti, Chiara, Sannino, Claudia, Dolci, Maria, Bruselli, Laura, Mori, Mary L., Baccetti, Fabio, Del Freo, Maria, Cucinotta, Domenico, Giunta, Loretta, Ruffo, Maria Concetta, Cannizzaro, Desiree, Pintaudi, Basilio, Perrone, Giovanni, Pata, Pietro, Ragonese, Francesco, Lettina, Gabriele, Mancuso, Teresa, Coppolino, Aldo, Piatti, Pier Marco, Monti, Lucilla, Stuccillo, Michela, Lucotti, Pietro, Setola, Manuela, Crippa, Giulia Valentina, Loi, Cinzia, Oldani, Matteo, Bottalico, Maria Luisa, Pellegata, Beatrice, Bonomo, Matteo, Menicatti, Laura Silvia Maria, Resi, Veronica, Bertuzzi, Federico, Disoteo, Eugenia Olga, Pizzi, Gianluigi, Rivellese, Angela Albarosa, Annuzzi, Giovanni, Capaldo, Brunella, Nappo, Rossella, Auciello, Stefania Michela, Turco, Anna Amelia, Costagliola, Lucia, Corte, Giuseppina Della, Vallefuoco, Pasquale, Nappi, Francesca, Vitale, Marilena, Cocozza, Sara, Ciano, Ornella, Massimino, Elena, Garofalo, Nadia, Avogaro, Angelo, Guarneri, Gabriella, Fedele, Domenico, Sartor, Giovanni, Chilelli, Nino Cristiano, Burlina, Silvia, Bonsembiante, Barbara, Galluzzo, Aldo, Torregrossa, Vittoria, Mancastroppa, Giovanni, Arsenio, Leone, Cioni, Federico, Caronna, Silvana, Papi, Matteo, Babini, Massimiliano, Santeusanio, Fausto, Calagreti, Gioia, Timi, Alessia, Tantucci, Alice, Marino, Cecilia, Ginestra, Federica, Di Biagio, Rosamaria, Taraborelli, Merilda, Miccoli, Roberto, Bianchi, Cristina, Garofolo, Monia, Politi, Konstantina Savina, Penno, Giuseppe, Livraga, Stefania, Calzoni, Fabio, Mancastroppa, Giovanni Luigi Francesco, Corsini, Elisa, Tedeschi, Anna, Gaglianã², Maria Sole, Ippolito, Giulio, Salutini, Elisabetta, Cervellino, Francesco, Natale, Maria, 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Dolcetti, Katia, Forte, Elisa, Tamburo, Lucilla, Perin, Paolo Cavallo, Prinzis, Tania, Gruden, Gabriella, Bruno, Graziella, Zucco, Chiara, Perotta, Massimo, Marena, Saverio, Monsignore, Simona, Panero, Francesco, Ponzi, Fulvia, Bossi, Antonio Carlo, Carpinteri, Rita, Casagrande, Maria Linda, Coletti, Maria Francesca, Balini, Annalisa, Filopanti, Marcello, Madaschi, Sara, Pulcina, Anna, Grimaldi, Franco, Venturini, Giorgio, Agus, Sandra, Pagnutti, Stefania, Guidotti, Francesca, Cavarape, Alessandro, Cigolini, Massimo, Pichiri, Isabella, Brangani, Corinna, Fainelli, Giulia, Tomasetto, Elena, Zoppini, Giacomo, Galletti, Anna, Perrone, Dominica, Capra, Claudio, Bianchini, Francesca, Ceseri, Martina, Di Nardo, Barbara, Sasso, Elisa, Bartolomei, Barbara, Suliman, Irina, Fabbri, Gianna, Romano, Geremia, Maturo, Nicola, Nunziata, Giuseppe, Capobianco, Giuseppe, De Simone, Giuseppina, Villa, Valeria, Rota, Giuseppe, Pentangelo, Carmine, Carbonara, Ornella, Caiazzo, Gennaro, Cutolo, Michele, Sorrentino, Tommasina, Mastrilli, Valeria, Amelia, Umberto, Masi, Stefano, Corigliano, Gerardo, Gaeta, Iole, Armentano, Vincenzo, Calatola, Pasqualino, Capuano, Gelsomina, Angiulli, Bruno, Auletta, Pasquale, Petraroli, Ettore, Iodice, Cinzia E., Agrusta, Mariano, Vaccaro, O, Masulli, M, Nicolucci, A, Bonora, E, Del Prato, S, Maggioni, A, Rivellese, A, Squatrito, S, Giorda, C, Sesti, G, Mocarelli, P, Lucisano, G, Sacco, M, Signorini, S, Cappellini, F, Perriello, G, Babini, A, Lapolla, A, Gregori, G, Giordano, C, Corsi, L, Buzzetti, R, Clemente, G, Di Cianni, G, Iannarelli, R, Cordera, R, La Macchia, O, Zamboni, C, Scaranna, C, Boemi, M, Iovine, C, Lauro, D, Leotta, S, Dall'Aglio, E, Cannarsa, E, Tonutti, L, Pugliese, G, Bossi, A, Anichini, R, Dotta, F, Di Benedetto, A, Citro, G, Antenucci, D, Ricci, L, Giorgino, F, Santini, C, Gnasso, A, De Cosmo, S, Zavaroni, D, Vedovato, M, Consoli, A, Calabrese, M, di Bartolo, P, Fornengo, P, Riccardi, G, D'Angelo, F, Giansanti, R, Tanase, L, Lanari, L, Testa, I, Pancani, F, Ranchelli, A, Vagheggi, P, Scatona, A, Fontana, L, Laviola, L, Tarantino, L, Ippolito, C, Gigantelli, V, Manicone, M, Conte, E, Trevisan, R, Rota, R, Dodesini, A, Reggiani, G, Montesi, L, Mazzella, N, Forlani, G, Caselli, C, Di Luzio, R, Mazzotti, A, Aiello, A, Barrea, A, Musto, A, D'Amico, F, Sinagra, T, Longhitano, S, Trowpea, V, Sparti, M, Italia, S, Lisi, E, Grasso, G, Pezzino, V, Insalaco, F, Carallo, C, Scicchitano, C, De Franceschi, M, Calbucci, G, Ripani, R, Cuneo, G, Corsi, S, Romeo, F, Lesina, A, Comoglio, M, Bonetto, C, Robusto, A, Nada, E, Asprino, V, Cetraro, R, Impieri, M, Lucchese, G, Donnarumma, G, Tizio, B, Lenza, L, Paraggio, P, Tomasi, F, Dozio, N, Scalambra, E, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, O, Fariello, S, Sorrentino, M, Franzetti, I, Radin, R, Annunziata, F, Bonabello, L, Durante, A, Dolcino, M, Gallo, F, Mazzucchelli, C, Aleo, A, Melga, P, Briatore, L, Maggi, D, Storace, D, Cecoli, F, D'Ugo, E, Pupillo, M, Baldassarre, M, Salvati, F, Minnucci, A, De Luca, A, Zugaro, A, Santarelli, L, Bosco, A, Petrella, V, La Verghetta, G, D'Andrea, S, Giuliani, A, Polidoro, W, Sperandio, A, Sciarretta, F, Pezzella, A, Carlone, A, Potenziani, S, Venditti, C, Foffi, C, Carbone, S, Cipolloni, L, Moretti, C, Leto, G, Serra, R, Petrachi, F, Romano, I, Lacaria, E, Russo, L, Goretti, C, Sannino, C, Dolci, M, Bruselli, L, Mori, M, Baccetti, F, Del Freo, M, Cucinotta, D, Giunta, L, Ruffo, M, Cannizzaro, D, Pintaudi, B, Perrone, G, Pata, P, Ragonese, F, Lettina, G, Mancuso, T, Coppolino, A, Piatti, P, Monti, L, Stuccillo, M, Lucotti, P, Setola, M, Crippa, G, Loi, C, Oldani, M, Bottalico, M, Pellegata, B, Bonomo, M, Menicatti, L, Resi, V, Bertuzzi, F, Disoteo, E, Pizzi, G, Annuzzi, G, Capaldo, B, Nappo, R, Auciello, S, Turco, A, Costagliola, L, Corte, G, Vallefuoco, P, Nappi, F, Vitale, M, Cocozza, S, Ciano, O, Massimino, E, Garofalo, N, Avogaro, A, Guarneri, G, Fedele, D, Sartore, G, Chilelli, N, Burlina, S, Bonsembiante, B, Galluzzo, A, Torregrossa, V, Mancastroppa, G, Arsenio, L, Cioni, F, Caronna, S, Papi, M, Santeusanio, F, Calagreti, G, Timi, A, Tantucci, A, Marino, C, Ginestra, F, Di Biagio, R, Taraborelli, M, Miccoli, R, Bianchi, C, Garofolo, M, Politi, K, Penno, G, Livraga, S, Calzoni, F, Corsini, E, Tedeschi, A, Gagliano, M, Ippolito, G, Salutini, E, Cervellino, F, Natale, M, Salvatore, V, Zampino, A, Sinisi, R, Arcangeli, A, Zogheri, A, Guizzotti, S, Longo, R, Pellicano, F, Scolozzi, P, Termine, S, Luberto, A, Ballardini, G, Trojani, C, Mazzuca, P, Bruglia, M, Ciamei, M, Genghini, S, Zannoni, C, Rangel, G, Salvi, L, Zappaterreno, A, Cordone, S, Simonelli, P, Meggiorini, M, Frasheri, A, Di Pippo, C, Maglio, C, Mazzitelli, G, Rinaldi, M, Galli, A, Romano, M, D'Angelo, P, Suraci, C, Bacci, S, Palena, A, Genovese, S, Mancino, M, Rondinelli, M, Capone, F, Calabretto, E, Bulgheroni, M, Bucciarelli, L, Ceccarelli, E, Fondelli, C, Santacroce, C, Guarino, E, Nigi, L, Lalli, C, Di Vizia, G, Scarponi, M, Montani, V, Di Bernardino, P, Romagni, P, Dolcetti, K, Forte, E, Tamburo, L, Perin, P, Prinzis, T, Gruden, G, Bruno, G, Zucco, C, Perotta, M, Marena, S, Monsignore, S, Panero, F, Ponzi, F, Carpinteri, R, Casagrande, M, Coletti, M, Balini, A, Filopanti, M, Madaschi, S, Pulcina, A, Grimaldi, F, Venturini, G, Agus, S, Pagnutti, S, Guidotti, F, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Fainelli, G, Tomasetto, E, Zoppini, G, Galletti, A, Perrone, D, Capra, C, Bianchini, F, Ceseri, M, Di Nardo, B, Sasso, E, Bartolomei, B, Suliman, I, Fabbri, G, Romano, G, Maturo, N, Nunziata, G, Capobianco, G, De Simone, G, Villa, V, Rota, G, Pentangelo, C, Carbonara, O, Caiazzo, G, Cutolo, M, Sorrentino, T, Mastrilli, V, Amelia, U, Masi, S, Corigliano, G, Gaeta, I, Armentano, V, Calatola, P, Capuano, G, Angiulli, B, Auletta, P, Petraroli, E, Iodice, C, Agrusta, M, di Bartolo, Paolo, Polidoro, w Lorella, Sartore, Giovanni, and Gaglianò, Maria Sole
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Male ,Diabetes and Metabolism, ipoglycemic drugs, cardiovascualr event ,Settore MED/09 - Medicina Interna ,endocrine system diseases ,IMPACT ,pioglitazone versus sulfonylureas ,Endocrinology, Diabetes and Metabolism ,GLIMEPIRIDE ,Diabetes, cardiovascular events, metformin, pioglitazone, sulphonylureas ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Internal Medicine ,Endocrinology ,law.invention ,Settore MED/13 - Endocrinologia ,Glibenclamide ,0302 clinical medicine ,Randomized controlled trial ,law ,GLYCEMIC CONTROL ,Gliclazide ,Internal medicine ,diabetes and metabolism ,RISK ,education.field_of_study ,diabetes ,Incidence ,endocrinology, diabetes and metabolism ,endocrinology ,Middle Aged ,INSULIN ,Metformin ,Treatment Outcome ,Editorial ,sulphonylureas ,Cardiovascular Diseases ,Combination ,Drug Therapy, Combination ,Female ,Type 2 ,medicine.drug ,medicine.medical_specialty ,Population ,030209 endocrinology & metabolism ,Aged ,Diabetes Mellitus, Type 2 ,Humans ,Hypoglycemic Agents ,Pioglitazone ,Sulfonylurea Compounds ,Thiazolidinediones ,Cardiovascular events ,03 medical and health sciences ,GLUCOSE-LOWERING DRUGS ,Drug Therapy ,Diabetes Mellitus ,medicine ,sulfonylureas ,education ,TOSCA.IT ,business.industry ,MORTALITY ,nutritional and metabolic diseases ,Insulin resistance ,medicine.disease ,Surgery ,Glimepiride ,business ,FOLLOW-UP - Abstract
Background The best treatment option for patients with type 2 diabetes in whom treatment with metformin alone fails to achieve adequate glycaemic control is debated. We aimed to compare the long-term effects of pioglitazone versus sulfonylureas, given in addition to metformin, on cardiovascular events in patients with type 2 diabetes. Methods TOSCA.IT was a multicentre, randomised, pragmatic clinical trial, in which patients aged 50â75 years with type 2 diabetes inadequately controlled with metformin monotherapy (2â3 g per day) were recruited from 57 diabetes clinics in Italy. Patients were randomly assigned (1:1), by permuted blocks randomisation (block size 10), stratified by site and previous cardiovascular events, to add-on pioglitazone (15â45 mg) or a sulfonylurea (5â15 mg glibenclamide, 2â6 mg glimepiride, or 30â120 mg gliclazide, in accordance with local practice). The trial was unblinded, but event adjudicators were unaware of treatment assignment. The primary outcome, assessed with a Cox proportional-hazards model, was a composite of first occurrence of all-cause death, non-fatal myocardial infarction, non-fatal stroke, or urgent coronary revascularisation, assessed in the modified intention-to-treat population (all randomly assigned participants with baseline data available and without any protocol violations in relation to inclusion or exclusion criteria). This study is registered with ClinicalTrials.gov, number NCT00700856. Findings Between Sept 18, 2008, and Jan 15, 2014, 3028 patients were randomly assigned and included in the analyses. 1535 were assigned to pioglitazone and 1493 to sulfonylureas (glibenclamide 24 [2%], glimepiride 723 [48%], gliclazide 745 [50%]). At baseline, 335 (11%) participants had a previous cardiovascular event. The study was stopped early on the basis of a futility analysis after a median follow-up of 57·3 months. The primary outcome occurred in 105 patients (1·5 per 100 person-years) who were given pioglitazone and 108 (1·5 per 100 person-years) who were given sulfonylureas (hazard ratio 0·96, 95% CI 0·74â1·26, p=0·79). Fewer patients had hypoglycaemias in the pioglitazone group than in the sulfonylureas group (148 [10%] vs 508 [34%], p
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- 2017
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8. Addition of either pioglitazone or a sulfonylurea in type 2 diabetic patients inadequately controlled with metformin alone: impact on cardiovascular events. A randomized controlled trial
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Vaccaro, O, Masulli, M, Bonora, E, Del Prato, S, Giorda, Cb, Maggioni, Ap, Mocarelli, P, Nicolucci, A, Rivellese, Aa, Squatrito, S, Riccardi, G, IT study group, T. O. S. C. A., Sud, Cm, Imbaro, S, Garofalo, N, Ferrannini, E, Howard, B, Gerdts, E, Imperatore, G, Tavazzi, L, Pellegrini, F, Fabbri, G, Levantesi, G, Turazza, F, Gentile, S, Panico, S, Brambilla, P, Signorini, S, Cappellini, F, Parma, C, D'Alonzo, D, Di Nardo, B, Ferrari, S, Franciosi, M, Pecce, R, Valentini, M, Ceseri, M, Bianchini, F, Baldini, E, Atzori, A, Boemi, M, D'Angelo, F, Giansanti, R, Ricci, L, Ranchelli, A, Di Berardino, P, Cannarsa, E, Giorgino, F, Manicone, M, Tarantino, L, Trevisan, R, Scaranna, C, Forlani, G, Montesi, L, Aiello, A, Barrea, A, Sinagra, T, Longhitano, S, Sesti, G, Gnasso, A, Carallo, C, Scicchitano, C, Santini, C, Calbucci, G, Ripani, R, Corsi, L, Corsi, S, Romeo, F, Asprino, V, Donnarumma, G, Tizio, B, Clemente, G, Tomasi, F, Dozio, N, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, Ol, Fariello, S, Cordera, R, Mazzucchelli, C, Pupillo, M, Zugaro, A, Bosco, A, De Luca, A, Iannarelli, R, Giuliani, A, Polidoro, L, Sperandio, A, Sciarretta, F, Raffaella, B, Venditti, C, Di Cianni, G, Goretti, C, Dolci, Ma, Bruselli, L, Mori, M, Baccetti, F, Gregori, G, Venezia, A, Cucinotta, D, Pintaudi, B, Ragonese, F, Pata, P, Piatti, Pm, Luccotti, P, Orsi, E, Bonomo, M, Menicatti, L, Turco, Aa, Ciano, O, Vallefuoco, P, Corigliano, G, Pentangelo, C, Petraroli, E, Auletta, P, Carbonara, O, Capobianco, G, Caiazzo, G, Angiulli, B, De Simone, G, Michele, C, Mastrilli, V, Nunziata, G, Romano, G, Gaeta, I, Sorrentino, T, Iovine, C, Nappi, F, Paolisso, G, Rizzo, Mr, Avogaro, A, Vedovato, M, Lapolla, A, Sartore, G, Burlina, S, Chilelli, Nc, Galluzzoy, A, Giordano, C, Torregrossa, V, Arsenio, L, Dall'Aglio, E, Cioni, F, Babini, M, Moncastroppa, G, Perriello, G, Timi, A, Consoli, A, Ginestra, F, Zavaroni, D, Calzoni, F, Miccoli, R, Bianchi, C, Politi, S, Anichini, R, Tedeschi, A, Citro, G, Zampino, A, Rosa, S, Natale, M, Giocoli, Cl, Caruso, E, Tramontano, L, Imbroinise, A, Perna, Cd, Calabrese, M, Zogheri, A, Luberto, A, Ballardini, G, Babini, Ac, Zannoni, C, Pugliese, G, Salvi, L, Mazzitelli, G, Zappaterreno, A, Frontoni, S, Ventricini, A, Lauro, D, Galli, A, Rinaldi, Me, Leotta, S, Fontana, L, Goretti, S, Pozzilli, P, Leonetti, F, Morano, S, Filetti, S, Cosmo, Sd, Bacci, S, Palena, Ap, Calatola, P, Capuano, G, Amelia, U, Dotta, Francesco, Guarino, E, Ceccarelli, E, Lalli, C, Scarponi, M, Forte, E, Potenziani, S, Perin, Pc, Marena, S, Zucco, C, Perotto, M, Bossi, A, Filopanti, M, Grimaldi, F, Tonutti, L, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Capra, C, Cigolini, M., Vaccaro, O1, Masulli, M, Bonora, E, Del Prato, S, Giorda, Cb, Maggioni, Ap, Mocarelli, P, Nicolucci, A, Rivellese, Aa, Squatrito, S, Riccardi, G, Collaborators Riccardi G, T. O. S. C. A. IT study g. r. o. u. p., Sud, Cm, Imbaro, S, Vaccaro, O, Garofalo, N, Ferrannini, E, Howard, B, Gerdts, E, Imperatore, G, Tavazzi, L, Pellegrini, F, Fabbri, G, Levantesi, G, Turazza, F, Gentile, Sandro, Panico, S, Brambilla, P, Signorini, S, Cappellini, F, Parma, C, D'Alonzo, D, Di Nardo, B, Ferrari, S, Franciosi, M, Pecce, R, Valentini, M, Ceseri, M, Bianchini, F, Baldini, E, Atzori, A, Boemi, M, D'Angelo, F, Giansanti, R, Ricci, L, Ranchelli, A, Di Berardino, P, Cannarsa, E, Giorgino, F, Manicone, M, Tarantino, L, Trevisan, R, Scaranna, C, Forlani, G, Montesi, L, Aiello, A, Barrea, A, Sinagra, T, Longhitano, S, Sesti, G, Gnasso, A, Carallo, C, Scicchitano, C, Santini, C, Calbucci, G, Ripani, R, Corsi, L, Corsi, S, Romeo, F, Asprino, V, Donnarumma, G, Tizio, B, Clemente, G, Tomasi, F, Dozio, N, Mannucci, E, Lamanna, C, Cignarelli, M, Macchia, Ol, Fariello, S, Cordera, R, Mazzucchelli, C, Pupillo, M, Zugaro, A, Bosco, A, De Luca, A, Iannarelli, R, Giuliani, A, Polidoro, L, Sperandio, A, Sciarretta, F, Raffaella, B, Venditti, C, Di Cianni, G, Goretti, C, Dolci, Ma, Bruselli, L, Mori, M, Baccetti, F, Gregori, G, Venezia, A, Cucinotta, D, Pintaudi, B, Ragonese, F, Pata, P, Piatti, Pm, Luccotti, P, Orsi, E, Bonomo, M, Menicatti, L, Turco, Aa, Ciano, O, Vallefuoco, P, Corigliano, G, Pentangelo, C, Petraroli, E, Auletta, P, Carbonara, O, Capobianco, G, Caiazzo, G, Angiulli, B, De Simone, G, Michele, C, Mastrilli, V, Nunziata, G, Romano, G, Gaeta, I, Sorrentino, T, Iovine, C, Nappi, F, Paolisso, Giuseppe, Rizzo, Maria Rosaria, Avogaro, A, Vedovato, M, Lapolla, A, Sartore, G, Burlina, S, Chilelli, Nc, Galluzzoy, A, Giordano, C, Torregrossa, V, Arsenio, L, Dall'Aglio, E, Cioni, F, Babini, M, Moncastroppa, G, Perriello, G, Timi, A, Consoli, A, Ginestra, F, Zavaroni, D, Calzoni, F, Miccoli, R, Bianchi, C, Politi, S, Anichini, R, Tedeschi, A, Citro, G, Zampino, A, Rosa, S, Natale, M, Giocoli, Cl, Caruso, E, Tramontano, L, Imbroinise, A, Perna, Cd, Calabrese, M, Zogheri, A, Luberto, A, Ballardini, G, Babini, Ac, Zannoni, C, Pugliese, G, Salvi, L, Mazzitelli, G, Zappaterreno, A, Frontoni, S, Ventricini, A, Lauro, D, Galli, A, Rinaldi, Me, Leotta, S, Fontana, L, Goretti, S, Pozzilli, P, Leonetti, F, Morano, S, Filetti, S, Cosmo, Sd, Bacci, S, Palena, Ap, Calatola, P, Capuano, G, Amelia, U, Dotta, F, Guarino, E, Ceccarelli, E, Lalli, C, Scarponi, M, Forte, E, Potenziani, S, Perin, Pc, Marena, S, Zucco, C, Perotto, M, Bossi, A, Filopanti, M, Grimaldi, F, Tonutti, L, Cavarape, A, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Capra, C, Cigolini M., Author information, Vaccaro, Olga, Masulli, Maria, Rivellese, ANGELA ALBAROSA, Riccardi, Gabriele, Giorda, C, Maggioni, A, Rivellese, A, Giorda, CB, Maggioni, AP, and Rivellese, AA
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Blood Glucose ,Male ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Endocrinology, Diabetes and Metabolism ,pioglitazone, sulfonylurea, type 2 diabetes, metformin, cardiovascular events ,Medicine (miscellaneous) ,Type 2 diabetes ,Settore MED/13 - Endocrinologia ,Body Mass Index ,law.invention ,Randomized controlled trial ,Risk Factors ,law ,Surveys and Questionnaires ,Cardiovascular Disease ,pioglitazone ,piogllitazone ,Stroke ,Diabetes, Therapy, Pioglitazone ,Nutrition and Dietetics ,Diabetes ,Thiazolidinedione ,cardiovascular events ,Type 2 Diabetes Mellitus ,sulphonylureas ,Middle Aged ,Metformin ,Sulfonylurea Compound ,Treatment Outcome ,Tolerability ,Cardiovascular Diseases ,Drug Therapy, Combination ,Female ,type 2 diabetes ,Cardiology and Cardiovascular Medicine ,Human ,medicine.drug ,medicine.medical_specialty ,Endpoint Determination ,sulfonylurea ,cardiovascualr event ,Sudden death ,Follow-Up Studie ,Internal medicine ,Diabetes mellitus ,medicine ,Humans ,Hypoglycemic Agents ,sulfonylureas ,interventio trial ,randomized controlled trial ,Aged ,Hypoglycemic Agent ,Questionnaire ,business.industry ,Risk Factor ,medicine.disease ,Surgery ,Sulfonylurea Compounds ,Diabetes Mellitus, Type 2 ,Quality of Life ,Thiazolidinediones ,Therapy ,business ,metformin ,Pioglitazone ,Follow-Up Studies - Abstract
Background and aims Metformin is the first-line therapy in type 2 diabetes. In patients inadequately controlled with metformin, the addition of a sulfonylurea or pioglitazone are equally plausible options to improve glycemic control. However, these drugs have profound differences in their mechanism of action, side effects, and impact on cardiovascular risk factors. A formal comparison of these two therapies in terms of cardiovascular morbidity and mortality is lacking. The TOSCA.IT study was designed to explore the effects of adding pioglitazone or a sulfonylurea on cardiovascular events in type 2 diabetic patients inadequately controlled with metformin. Methods Multicentre, randomized, open label, parallel group trial of 48 month duration. Type 2 diabetic subjects, 50–75 years, BMI 20–45 Kg/m 2 , on secondary failure to metformin monotherapy will be randomized to add-on a sulfonylurea or pioglitazone. The primary efficacy outcome is a composite endpoint of all-cause mortality, nonfatal myocardial infarction, nonfatal stroke, and unplanned coronary revascularization. Principal secondary outcome is a composite ischemic endpoint of sudden death, fatal and non-fatal myocardial infarction and stroke, endovascular or surgical intervention on the coronary, leg or carotid arteries, major amputations. Side effects, quality of life and economic costs will also be evaluated. Efficacy, safety, tolerability, and study conduct will be monitored by an independent Data Safety Monitoring Board. End points will be adjudicated by an independent external committee. Conclusions TOSCA.IT is the first on-going study investigating the head-to-head comparison of adding a sulfonylurea or pioglitazone to existing metformin treatment in terms of hard cardiovascular outcomes. Registration: Clinicaltrials.gov ID NCT00700856.
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- 2012
9. Prevention and treatment of nonalcoholic fatty liver disease. [Review]
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Targher, Giovanni, Bellis, A., Fornego, P., Ciaravella, F., Pichiri, I., Cavallo Perin, P., Trimarco, B., and Marchesini, G.
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treatment ,NAFLD ,insulin resistance ,Nonalcoholic fatty liver disease ,metabolic syndrome - Published
- 2010
10. Nonalcoholic fatty liver disease is independently associated with early left ventricular diastolic dysfunction in patients with type 2 diabetes
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Mantovani, A., Pernigo, M., Bergamini, C., Bonapace, S., Pichiri, I., Bertolini, L., Valbusa, F., Barbieri, E., Zoppini, G., Bonora, E., and Targher, G.
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- 2015
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11. Serum uric acid levels and incident chronic kidney disease in patients with type 2 diabetes and preserved kidney function.
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Zoppini G, Targher G, Chonchol M, Ortalda V, Abaterusso C, Pichiri I, Negri C, Bonora E, Zoppini, Giacomo, Targher, Giovanni, Chonchol, Michel, Ortalda, Vittorio, Abaterusso, Cataldo, Pichiri, Isabella, Negri, Carlo, and Bonora, Enzo
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Objective: Recent studies have suggested an association between hyperuricemia and adverse renal outcomes in nondiabetic populations. Data on the relationship between hyperuricemia and the risk of incident chronic kidney disease (CKD) in type 2 diabetic patients with normal or near-normal kidney function are lacking. We determined whether baseline serum uric acid levels predict the subsequent development of CKD in patients with type 2 diabetes.Research Design and Methods: We followed 1,449 type 2 diabetic patients with normal kidney function and without overt proteinuria for 5 years for the occurrence of incident CKD (defined as overt proteinuria or estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m(2)).Results: During a 5-year follow-up period, 194 (13.4%) patients developed incident CKD. The cumulative incidence of CKD was significantly greater in patients with hyperuricemia than in those without hyperuricemia (29.5 vs. 11.4%, P < 0.001). In univariate logistic regression analysis, the presence of hyperuricemia roughly doubled the risk of developing CKD (odds ratio [OR] 2.55 [95% CI 1.71-3.85], P < 0.001). After adjusting for age, sex, BMI, smoking status, diabetes duration, systolic blood pressure, antihypertensive treatment, insulin therapy, HbA(1c), eGFR, and albuminuria, hyperuricemia was associated with an increased risk of incident CKD (adjusted OR 2.10 [1.16-3.76], P < 0.01). In continuous analyses, a 1-SD increment in the serum uric acid level was significantly associated with a 21% increased risk of CKD.Conclusions: In type 2 diabetic individuals with preserved kidney function, hyperuricemia seems to be an independent risk factor for the development of incident CKD. [ABSTRACT FROM AUTHOR]- Published
- 2012
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12. [122] ANEMIA, INDEPENDENT OF CHRONIC KIDNEY DISEASE, PREDICTS ALL-CAUSE AND CARDIOVASCULAR MORTALITY IN TYPE 2 DIABETIC PATIENTS
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Targher, G., Pichiri, I., Zoppini, G., Negri, C., Stoico, V., Perrone, F., Muggeo, M., and Bonora, E.
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- 2009
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13. 122 RELATIONSHIP OF SERUM GAMMA-GLUTAMYLTRANSFERASE WITH ATHEROGENIC DYSLIPIDEMIA AND GLYCEMIC CONTROL IN TYPE 2 DIABETES
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Targher, G., Donini, D., Pichiri, I., Trombetta, M., Muggeo, M., and Zoppini, G.
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- 2008
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14. Dietary intake and major food sources of polyphenols in people with type 2 diabetes: The TOSCA.IT Study
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Vitale, M., Masulli, M., Rivellese, A. A., Bonora, E., Cappellini, F., Nicolucci, Andrea, Squatrito, S., Antenucci, D., Barrea, A., Bianchi, C., Bianchini, F., Fontana, L., Fornengo, P., Giorgino, F., Gnasso, A., Mannucci, E., Mazzotti, A., Nappo, R., Palena, A. P., Pata, P., Perriello, G., Potenziani, S., Radin, R., Ricci, L., Romeo, F., Santini, C., Scarponi, M., Serra, Riccardo, Timi, A., Turco, A. A., Vedovato, M., Zavaroni, D., Grioni, S., Riccardi, G., Vaccaro, O., Rivellese, Angela Albarosa, Cocozza, Sara, Auciello, Stefania, Turco, Anna Amelia, Bonora, Enzo, Cigolini, Massimo, Pichiri, Isabella, Brangani, Corinna, Tomasetto, Elena, Perriello, Gabriele, Timi, Alessia, Squatrito, Sebastiano, Sinagra, Tiziana, Longhitano, Sara, Tropea, Vanessa, Ballardini, Giorgio, Babini, Anna Carla, Ripani, Raffaella, Gregori, Giovanna, Dolci, Maria, Bruselli, Laura, Salutini, Isabella, Mori, Mary, Baccetti, Fabio, Lapolla, Annunziata, Sartore, Giovanni, Burlina, Silvia, Chilelli, Nino Cristiano, Buzzetti, Raffaella, Venditti, Chiara, Potenziani, Stella, Carlone, Angela, Galluzzo†, Aldo, Giordano, Carla, Torregrossa, Vittoria, Corsi, Laura, Cuneo, Giacomo, Corsi, Simona, Tizio, Biagio, Clemente, Gennaro, Citro, Giuseppe, Natale, Maria, Salvatore, Vita, Di Cianni, Graziano, Lacaria, Emilia, Russo, Laura, Iannarelli, Rossella, de Gregorio, Antonella, Sciarretta, Filomena, D’Andrea, Settimio, Montani, Valeria, Cannarsa, Emanuela, Dolcetti, Katia, Cordera, Renzo, Bonabello, Laura Affinito, Mazzucchelli, Chiara, Giorda, Carlo Bruno, Romeo, Francesco, Bonetto, Caterina, Antenucci, Daniela, Baldassarre, Maria Pompea Antonia, Iovine, Ciro, Nappo, Rossella, Ciano, Ornella, Dall’Aglio, Elisabetta, Mancastroppa, Giovanni, Grimaldi, Franco, Tonutti, Laura, Boemi, Massimo, D’Angelo, Federica, Leotta, Sergio, Fontana, Lucia, Lauro, Davide, Rinaldi, Maria Elena, Cignarelli, Mauro, la Macchia, Olga, Fariello, Stefania, Tomasi, Franco, Zamboni, Chiara, Dozio, Nicoletta, Trevisan, Roberto, Scaranna, Cristiana, Del Prato, Stefano, Miccoli, Roberto, Bianchi, Cristina, Garofolo, Monia, Pugliese, Giuseppe, Salvi, Laura, Rangel, Graziela, Vitale, Martina, Anichini, Roberto, Tedeschi, Anna, Corsini, Elisa, Cucinotta, Domenico, Di Benedetto, Antonino, Giunta, Loretta, Ruffo, Maria Concetta, Bossi, Antonio Carlo, Carpinter, Rita, Dotta, Francesco, Ceccarelli, Elena, Bartolo, Paolo Di, Caselli, Chiara, Luberto, Alessandra, Santini, Costanza, Mazzotti, Arianna, Calbucci, Giovanni, Consoli, Agostino, Ginestra, Federica, Calabrese, Maria, Zogheri, Alessia, Ricci, Lucia, Giorgino, Francesco, Laviola, Luigi, Ippolito, Claudia, Tarantino, Lucia, Avogaro, Angelo, Vedovato, Monica, Gnasso, Agostino, Carallo, Claudio, Scicchitano, Caterina, Zavaroni, Donatella, Livraga, Stefania, Perin, Paolo Cavallo, Forrnengo, Paolo, Prinzis, Tania, de Cosmo, Salvatore, Palena, Antonio Pio, Bacci, Simonetta, Mannucci, Edoardo, Lamanna, Caterina, Pata, Pietro, Lettina, Gabriele, Aiello, Antimo, Barrea, Angelina, Lalli, Carlo, Scarponi, Maura, Franzetti, Ivano, Radin, Raffaella, Serra, Rosalia, Petrachi, Francesca, Asprino, Vincenzo, Capra, Claudio, Forte, Elisa, Reggiani, Giulio Marchesini, Forlani, Gabriele, Montesi, Luca, Mazzella, Natalia, Piatti, Pier Marco, Monti, Lucilla, Stuccillo, Michela, Auletta, Pasquale, Petraroli, Ettore, Capobianco, Giuseppe, Romano, Geremia, Cutolo, Michele, de Simone, Giosetta, Caiazzo, Gennaro, Nunziata, Peppe, Sorrentino, Susy, Amelia, Umberto, Calatola, Pasqualino, Capuano, Gelsomina, Vitale, M, Masulli, M, Rivellese, AA, Bonora, E, Cappellini, F, Nicolucci, A, Squatrito, S, Antenucci, D, Barrea, A, Bianchi, C, Bianchini, F, Fontana, L, Fornengo,P, Giorgino, F, Gnasso, A, Mannucci, Mazzotti, A, Nappo, R, Palena, AP, Pata, P,Perriello, G, Potenziani, S, Radin, R, Ricci, L, Romeo, F, Santini, C, Scarponi, M, Serra, R, Timi, A, Turco, AA, Vedovato, M, Zavaroni, D, Grioni, S, Riccardi, G, Vaccaro, O, TOSCA.IT Study Group., Giordano, C., Rivellese, Aa, Fornengo, P, Mannucci, E, Mazzotti, A, Nappo, R, Palena, Ap, Pata, P, Perriello, G, Turco, Aa, Tosc, A. IT Study Group., Rivellese, A, Palena, A, Turco, A, Cocozza, S, Auciello, S, Cigolini, M, Pichiri, I, Brangani, C, Tomasetto, E, Sinagra, T, Longhitano, S, Tropea, V, Ballardini, G, Babini, A, Ripani, R, Gregori, G, Dolci, M, Bruselli, L, Salutini, I, Mori, M, Baccetti, F, Lapolla, A, Sartore, G, Burlina, S, Chilelli, N, Buzzetti, R, Venditti, C, Carlone, A, Galluzzo, A, Giordano, C, Torregrossa, V, Corsi, L, Cuneo, G, Corsi, S, Tizio, B, Galluzzo, G, Citro, G, Natale, M, Salvatore, V, Di Cianni, G, Lacaria, E, Russo, L, Iannarelli, R, De Gregorio, A, Sciarretta, F, D'Andrea, S, Montani, V, Cannarsa, E, Dolcetti, K, Cordera, R, Bonabello, L, Mazzucchelli, C, Giorda, C, Bonetto, C, Baldassarre, M, Iovine, C, Ciano, O, Dall'Aglio, E, Mancastroppa, G, Grimaldi, F, Tonutti, L, Boemi, M, D'Angelo, F, Leotta, S, Lauro, D, Rinaldi, M, Cignarelli, M, La Macchia, O, Fariello, S, Tomasi, F, Zamboni, C, Dozio, N, Trevisan, R, Scaranna, C, Del Prato, S, Miccoli, R, Garofolo, M, Pugliese, G, Salvi, L, Rangel, G, Anichini, R, Tedeschi, A, Corsini, E, Cucinotta, D, Di Benedetto, A, Giunta, L, Ruffo, M, Bossi, A, Carpinter, R, Dotta, F, Ceccarelli, E, Bartolo, P, Caselli, C, Luberto, A, Calbucci, G, Consoli, A, Ginestra, F, Calabrese, M, Zogheri, A, Laviola, L, Ippolito, C, Tarantino, L, Avogaro, A, Carallo, C, Scicchitano, C, Livraga, S, Perin, P, Forrnengo, P, Prinzis, T, De Cosmo, S, Bacci, S, Lamanna, C, Lettina, G, Aiello, A, Lalli, C, Franzetti, I, Petrachi, F, Asprino, V, Capra, C, Forte, E, Reggiani, G, Forlani, G, Montesi, L, Mazzella, N, Piatti, P, Monti, L, Stuccillo, M, Auletta, P, Petraroli, E, Capobianco, G, Romano, G, Cutolo, M, De Simone, G, Caiazzo, G, Nunziata, P, Sorrentino, S, Amelia, U, Calatola, P, and Capuano, G
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0301 basic medicine ,Male ,Age, BMI, Diabetes, Diet, Flavonoids, Food groups, Geographical area, Intake, Phenolic acids, Polyphenols, TOSCA.IT study, Aged, Antioxidants, Beverages, Cinnamates, Cohort Studies, Cross-Sectional Studies, Databases, Factual, Diabetes Mellitus, Type 2, Female, Flavonoids, Fruit, Glycosides, Humans, Italy, Male, Middle Aged, Nutritive Value, Phenols, Polyphenols, Diet, Diabetic, Diet, Healthy, Patient Compliance ,Settore MED/09 - Medicina Interna ,Databases, Factual ,Cross-sectional study ,Medicine (miscellaneous) ,Type 2 diabetes ,Diabete ,Antioxidants ,Settore MED/13 - Endocrinologia ,Food group ,Cohort Studies ,0302 clinical medicine ,Diet, Diabetic ,Medicine ,Food science ,Glycosides ,Age ,BMI ,Diabetes ,Diet ,Flavonoids ,Food groups ,Geographical area ,Intake ,Phenolic acids ,Polyphenols ,TOSCA.IT study ,Nutrition and Dietetics ,Phenolic acid ,food and beverages ,Middle Aged ,Polyphenols, Flavonoids, Phenolic acids, Diabetes, Food groups, Diet, Age, BMI, Geographical area, Intake, TOSCA.IT study ,Italy ,Tosca,Age,BMI,Diabetes,Diet,Flavonoids,Food groups,Geographical area,Intake,Phenolic acids,Polyphenols,TOSCA.IT study ,Cohort ,Female ,Diet, Healthy ,Nutritive Value ,Cohort study ,Polyphenol ,030209 endocrinology & metabolism ,Beverages ,03 medical and health sciences ,Phenols ,Diabetes mellitus ,Humans ,Aged ,030109 nutrition & dietetics ,business.industry ,Anthropometry ,medicine.disease ,Tosca ,Cross-Sectional Studies ,Diabetes Mellitus, Type 2 ,Cinnamates ,Fruit ,Flavonoid ,Patient Compliance ,business - Abstract
Purpose: Proper evaluation of polyphenols intake at the population level is a necessary step in order to establish possible associations with health outcomes. Available data are limited, and so far no study has been performed in people with diabetes. The aim of this work was to document the intake of polyphenols and their major food sources in a cohort of people with type 2 diabetes and in socio-demographic subgroups. Methods: We studied 2573 men and women aged 50–75 years. Among others, anthropometry was measured by standard protocol and dietary habits were investigated by food frequency questionnaire (EPIC). The intake of polyphenols was evaluated using US Department of Agriculture and Phenol-Explorer databases. Results: The mean total polyphenol intake was 683.3 ± 5.8 mg/day. Non-alcoholic beverages represented the main food source of dietary polyphenols and provided 35.5% of total polyphenol intake, followed by fruits (23.0%), alcoholic beverages (14.0%), vegetables (12.4%), cereal products and tubers (4.6%), legumes (3.7%) and oils (2.1%); chocolate, cakes and nuts are negligible sources of polyphenols in this cohort. The two most important polyphenol classes contributing to the total intake were flavonoids (47.5%) and phenolic acids (47.4%). Polyphenol intake increased with age and education level and decreased with BMI; furthermore, in the northern regions of Italy, the polyphenol intake was slightly, but significantly higher than in the central or southern regions. Conclusions: The study documents for the first time the intake of polyphenols and their main food sources in people with diabetes using validated and complete databases of the polyphenol content of food. Compared with published data, collected in people without diabetes, these results suggest a lower intake and a different pattern of intake in people with diabetes. © 2016 Springer-Verlag Berlin Heidelberg
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- 2016
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15. Prevention and treatment of nonalcoholic fatty liver disease
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Alessandro Bellis, Bruno Trimarco, Paolo Fornengo, Isabella Pichiri, Paolo Cavallo Perin, Francesca Ciaravella, Giulio Marchesini, Giovanni Targher, G. Targher, A. Belli, P. Fornengo, F. Ciaravella, I. Pichiri, P. Cavallo Perin, B. Trimarco, G. Marchesini Reggiani, Targher, G, Bellis, Alessandro, Fornengo, P, Ciaravella, F, Pichiri, I, Cavallo Perin, P, Trimarco, Bruno, and Marchesini, G.
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medicine.medical_specialty ,Hyperlipidemias ,Physical exercise ,Bioinformatics ,Insulin resistance ,Weight loss ,Internal medicine ,Weight Loss ,Nonalcoholic fatty liver disease ,Hyperlipidemia ,medicine ,Humans ,Hypoglycemic Agents ,Hypolipidemic Agents ,Metabolic Syndrome ,Hepatology ,business.industry ,Fatty liver ,Gastroenterology ,medicine.disease ,Fatty Liver ,Endocrinology ,Hypertension ,Insulin Resistance ,Metabolic syndrome ,medicine.symptom ,business ,Angiotensin II Type 1 Receptor Blockers ,Risk Reduction Behavior ,Dyslipidemia - Abstract
A better knowledge of the biochemical mechanisms implicated in the development and progression of nonalcoholic fatty liver disease, linking fatty liver to insulin resistance and the metabolic syndrome, has shifted the goal of treatment from a mere clearing of fat from the liver to a systematic treatment of metabolic risk factors for fatty liver. Any attempt to modify the "unhealthy" habits responsible for fatty liver requires an integrated approach, based on the cognitive theory of behaviour by a multidisciplinary team including physicians, psychologists, dieticians and physical exercise experts, and recent data demonstrate that this is feasible and effective. Whenever this goal is not attained, a treatment based on insulin-sensitizers remains the best option, to simultaneously tackle all metabolic alterations of the metabolic syndrome. However, in individual patients, both raised blood pressure and dyslipidemia need to be controlled, in order to reduce cardiovascular risk. In these areas, any attempt should be made to use of drugs less likely to induce a deterioration of glucose control. It remains to be determined whether these treatments are able to modify the natural history of nonalcoholic fatty liver disease in the long term.
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- 2010
16. 'Case of the Month' from the University of Verona, Italy-navigating the medical and surgical challenges of urinary bladder paraganglioma: insights from a clinical case.
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Treccani LP, Artoni F, Brancelli C, Veccia A, D'Onofrio M, Pichiri I, Brunelli M, Bertolo RG, and Antonelli A
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- 2024
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17. Insulin resistance and beta-cell dysfunction in newly diagnosed type 2 diabetes: Expression, aggregation and predominance. Verona Newly Diagnosed Type 2 Diabetes Study 10.
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Bonora E, Trombetta M, Dauriz M, Brangani C, Cacciatori V, Negri C, Pichiri I, Stoico V, Rinaldi E, Da Prato G, Boselli ML, Santi L, Moschetta F, Zardini M, and Bonadonna RC
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- Blood Glucose analysis, C-Peptide, Glucose, Glycated Hemoglobin analysis, Humans, Insulin, Diabetes Mellitus, Type 2, Hyperglycemia, Insulin Resistance physiology
- Abstract
Aims: We investigated quantitative expression, mutual aggregation and relation with hyperglycemia of insulin resistance (IR) and beta-cell dysfunction (BCD) in newly diagnosed type 2 diabetes., Methods: We assessed IR with euglycemic hyperinsulinemic clamp and BCD with modelled glucose/C-peptide response to oral glucose in 729 mostly drug-naïve patients. We measured glycated hemoglobin, pre-prandial, post-prandial and meal-related excursion of blood glucose., Results: IR was found in 87.8% [95% confidence intervals 85.4-90.2] and BCD in 90.0% [87.8-92.2] of subjects, ranging from mild to moderate or severe. Approximately 20% of subjects had solely one defect: BCD 10.8% [8.6-13.1] or IR 8.6% [6.6-10.7]. Insulin resistance and BCD aggregated in most subjects (79.1% [76.2-82.1]). We arbitrarily set nine possible combinations of mild, moderate or severe IR and mild, moderate or severe BCD, finding that each had a similar frequency (∼10%). In multiple regression analyses parameters of glucose control were related more strongly with BCD than with IR., Conclusions: In newly-diagnosed type 2 diabetes, IR and BCD are very common with a wide range of expression but no specific pattern of aggregation. Beta-cell dysfunction is likely to play a greater quantitative role than IR in causing/sustaining hyperglycemia in newly-diagnosed type 2 diabetes., (© 2022 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons Ltd.)
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- 2022
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18. Glomerular filtration rate decline in T2DM following diagnosis. The Verona newly diagnosed diabetes study-12.
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Zoppini G, Trombetta M, Pastore I, Brangani C, Cacciatori V, Negri C, Perrone F, Pichiri I, Stoico V, Travia D, Rinaldi E, Da Prato G, Bittante C, Bonadonna RC, and Bonora E
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- Cohort Studies, Disease Progression, Female, Glomerulonephritis, IGA physiopathology, Humans, Male, Middle Aged, Diabetes Mellitus, Type 2 blood, Glomerular Filtration Rate physiology, Glomerulonephritis, IGA etiology
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Aims: Nephropathy is a complication of type 2 diabetes, with increased albuminuria and reduced glomerular filtration rate (GFR) as biomarkers. Rates of progression to end-stage-renal disease are variable among patients. In this study we have examined the GFR decline in newly diagnosed T2DM., Methods: A cohort of 410 patients with newly diagnosed T2DM and with at least four serum creatinine during the follow-up period were recruited. A linear model was used to calculate the decline in eGFR. A multivariable logistic model was used to identify independent predictors of rapid eGFR decline., Results: Average follow-up was 12.4 years. The eGFR change was -0.80 ± 2.23 ml/min/1.73 m
2 per year. Patients were arbitrarily stratified into rapid decliners (≤-3.0 ml/min/1.73 m2 per year), moderate decliners (-2.9/-1 ml/min/1.73 m2 per year) and slow/no decliners (>-1.0 ml/min/1.73 m2 per year). Subjects in the 3 categories were 11.4%, 27.3%, and 61.3%, respectively. Albuminuria was the stronger predictor of rapid eGFR decline., Conclusions: A rapid decline in eGFR occurs in approximately 1 out of 10 newly diagnosed subjects. This rapid decline can be predicted by widely accessible clinical features, such as albuminuria. Identification of rapid decliners may help to reduce progression toward advanced stages of nephropathy., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 Elsevier B.V. All rights reserved.)- Published
- 2021
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19. Chronic complications in patients with newly diagnosed type 2 diabetes: prevalence and related metabolic and clinical features: the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 9.
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Bonora E, Trombetta M, Dauriz M, Travia D, Cacciatori V, Brangani C, Negri C, Perrone F, Pichiri I, Stoico V, Zoppini G, Rinaldi E, Da Prato G, Boselli ML, Santi L, Moschetta F, Zardini M, and Bonadonna RC
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- Blood Glucose, Humans, Male, Prevalence, Risk Factors, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Insulin Resistance
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Introduction: We explored the presence of chronic complications in subjects with newly diagnosed type 2 diabetes referred to the Verona Diabetes Clinic. Metabolic (insulin secretion and sensitivity) and clinical features associated with complications were also investigated., Research Design and Methods: The comprehensive assessment of microvascular and macrovascular complications included detailed medical history, resting ECG, ultrasonography of carotid and lower limb arteries, quantitative neurological evaluation, cardiovascular autonomic tests, ophthalmoscopy, kidney function tests. Insulin sensitivity and beta-cell function were assessed by state-of-the-art techniques (insulin clamp and mathematical modeling of glucose/C-peptide curves during oral glucose tolerance test)., Results: We examined 806 patients (median age years, two-thirds males), of whom prior clinical cardiovascular disease (CVD) was revealed in 11.2% and preclinical CVD in 7.7%. Somatic neuropathy was found in 21.2% and cardiovascular autonomic neuropathy in 18.6%. Retinopathy was observed in 4.9% (background 4.2%, proliferative 0.7%). Chronic kidney disease (estimated glomerular filtration rate <60 mL/min/1.73 m
2 ) was found in 8.8% and excessive albuminuria in 13.2% (microalbuminuria 11.9%, macroalbuminuria 1.3%).Isolated microvascular disease occurred in 30.8%, isolated macrovascular disease in 9.3%, a combination of both in 9.1%, any complication in 49.2% and no complications in 50.8%.Gender, age, body mass index, smoking, hemoglobin A1c and/or hypertension were independently associated with one or more complications. Insulin resistance and beta-cell dysfunction were associated with macrovascular but not microvascular disease., Conclusions: Despite a generally earlier diagnosis for an increased awareness of the disease, as many as ~50% of patients with newly diagnosed type 2 diabetes had clinical or preclinical manifestations of microvascular and/or macrovascular disease. Insulin resistance might play an independent role in macrovascular disease., Trial Registration Number: NCT01526720., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
- 2020
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20. Relation of elevated serum uric acid levels to first-degree heart block and other cardiac conduction defects in hospitalized patients with type 2 diabetes.
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Mantovani A, Rigolon R, Pichiri I, Morani G, Bonapace S, Dugo C, Zoppini G, Bonora E, and Targher G
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- Aged, Cardiac Conduction System Disease diagnosis, Cardiac Conduction System Disease epidemiology, Confounding Factors, Epidemiologic, Cross-Sectional Studies, Diabetes Mellitus, Type 2 therapy, Diabetic Cardiomyopathies diagnosis, Diabetic Cardiomyopathies epidemiology, Electrocardiography, Female, Heart Block complications, Heart Block diagnosis, Heart Block epidemiology, Hospitals, University, Humans, Hyperuricemia blood, Hyperuricemia complications, Italy epidemiology, Male, Medical Records, Middle Aged, Pilot Projects, Prevalence, Retrospective Studies, Risk, Severity of Illness Index, Asymptomatic Diseases epidemiology, Cardiac Conduction System Disease etiology, Diabetes Mellitus, Type 2 complications, Diabetic Cardiomyopathies etiology, Heart Block etiology, Hyperuricemia physiopathology, Uric Acid blood
- Abstract
Aims: Several studies have reported that moderately elevated serum uric acid levels are associated with an increased risk of tachyarrhythmias (mainly atrial fibrillation) in patients with and without type 2 diabetes mellitus (T2DM). It is currently unknown whether an association also exists between elevated serum uric acid levels and cardiac conduction defects in patients with T2DM., Methods: We retrospectively analyzed a hospital-based sample of 967 patients with T2DM discharged from our Division of Endocrinology over the years 2007-2014. Standard electrocardiograms were performed on all patients and were interpreted by expert cardiologists., Results: Overall, 267 (27.6%) patients had some type of conduction defects on electrocardiograms (defined as at least one block among first-degree atrio-ventricular block, second-degree block, third-degree block, left bundle branch block, right bundle branch block, left anterior hemi-block or left posterior hemi-block). Patients in the 3rd serum uric acid tertile had a higher prevalence of any cardiac conduction defects than those belonging to 2nd or 1st tertile, respectively (35.8% vs. 25.0% vs. 22.6%; p<0.0001). Elevated serum uric acid levels were associated with a nearly twofold increased risk of cardiac conduction defects after adjustment for age, sex, hemoglobin A1c, diabetes duration, metabolic syndrome, chronic kidney disease, chronic obstructive pulmonary disease, ischemic heart disease, valvular heart disease and medication use (adjusted-odds ratio 1.84, 95% confidence intervals 1.2-2.9; p=0.009)., Conclusions: Moderately elevated serum uric acid levels are associated with an increased prevalence of any cardiac conduction defects in hospitalized patients with T2DM, independent of multiple risk factors and potential confounding variables., (Copyright © 2017 Elsevier Inc. All rights reserved.)
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- 2017
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21. Long-Acting GLP-1 Receptor Agonist Exenatide Influence on the Autonomic Cardiac Sympatho-Vagal Balance.
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Cacciatori V, Zoppini G, Bellavere F, Rigolon R, Thomaseth K, Pichiri I, Trombetta M, Dauriz M, De Santi F, Targher G, Santi L, and Bonora E
- Abstract
Long-acting glucagon-like peptide 1 receptor agonists are increasingly used to treat type 2 diabetes. An increase of heart rate (HR) has been observed with their use. To elucidate the role of the cardiac sympatho-vagal balance as a possible mediator of the reported increase in HR, we performed power spectral analysis of HR variability (HRV) in patients receiving exenatide extended-release (ER). Twenty-eight ambulatory patients with type 2 diabetes underwent evaluation at initiation of exenatide-ER and thereafter at 3 and at 6 months. To obtain spectral analyses of HRV, a computerized acquisition of 10 minutes of RR electrocardiogram intervals (mean values of ~700 RR intervals) were recorded both in lying and in standing positions. All patients showed a substantial increase of HR both in lying and in standing positions. Systolic blood pressure, body weight, and glycated hemoglobin A1c significantly decreased both at 3 and 6 months compared with basal levels. The low-frequency/high-frequency ratio varied from 3.05 ± 0.4 to 1.64 ± 0.2 ( P < 0.001) after 3 months and to 1.57 ± 0.3 ( P < 0.001) after 6 months in a lying position and from 4.56 ± 0.8 to 2.24 ± 0.3 ( P < 0.001) after 3 months and to 2.38 ± 0.4 ( P < 0.001) after 6 months in a standing position compared with basal values, respectively. HR variations, induced by exenatide-ER treatment, do not appear to be related to sympathetic autonomic tone. Of note, we observed a relative increase of vagal influence on the heart.
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- 2017
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22. Nonalcoholic fatty liver disease is associated with an increased risk of heart block in hospitalized patients with type 2 diabetes mellitus.
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Mantovani A, Rigolon R, Pichiri I, Bonapace S, Morani G, Zoppini G, Bonora E, and Targher G
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- Aged, Diabetes Mellitus, Type 2 physiopathology, Electrocardiography, Female, Heart Block physiopathology, Humans, Inpatients, Liver diagnostic imaging, Male, Middle Aged, Non-alcoholic Fatty Liver Disease diagnostic imaging, Non-alcoholic Fatty Liver Disease physiopathology, Retrospective Studies, Risk Factors, Ultrasonography, Diabetes Mellitus, Type 2 complications, Heart Block complications, Hospitalization, Non-alcoholic Fatty Liver Disease complications
- Abstract
Recent studies suggested that nonalcoholic fatty liver disease (NAFLD) is associated with an increased risk of cardiac tachyarrhythmias (mainly atrial fibrillation) in patients with and without type 2 diabetes mellitus. The aim of this study was to examine whether an association also exists between NAFLD and heart block. We have retrospectively evaluated a hospital-based cohort of 751 patients with type 2 diabetes discharged from our Division of Diabetes and Endocrinology during years 2007-2014. Standard electrocardiograms were performed on all patients. Diagnosis of NAFLD was based on ultrasonography, whereas the severity of advanced hepatic fibrosis was based on the fibrosis (FIB)-4 score and other non-invasive fibrosis markers. Overall, 524 (69.8%) patients had NAFLD and 202 (26.9%) had heart block (defined as at least one block among first-degree atrio-ventricular block, second-degree block, third-degree block, left bundle branch block, right bundle branch block, left anterior hemi-block or left posterior hemi-block) on electrocardiograms. Patients with NAFLD had a remarkably higher prevalence of any persistent heart block than those without NAFLD (31.3% vs. 16.7%, p<0.001); this prevalence was particularly increased among those with higher FIB-4 score. NAFLD was associated with a threefold increased risk of prevalent heart block (adjusted-odds ratio 3.04, 95% CI 1.81-5.10), independently of age, sex, hypertension, prior ischemic heart disease, hemoglobin A1c, microvascular complication status, use of medications and other potentially confounding factors. In conclusion, this is the largest cross-sectional study to show that NAFLD and its severity are independently associated with an increased risk of prevalent heart block in hospitalized patients with type 2 diabetes.
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- 2017
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23. Nonalcoholic fatty liver disease is associated with an increased prevalence of distal symmetric polyneuropathy in adult patients with type 1 diabetes.
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Mantovani A, Rigolon R, Mingolla L, Pichiri I, Cavalieri V, Salvotelli L, Stoico V, Zoppini G, Bonora E, and Targher G
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- Adult, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Polyneuropathies complications, Polyneuropathies epidemiology, Prevalence, Retrospective Studies, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 epidemiology, Diabetic Neuropathies complications, Diabetic Neuropathies epidemiology, Non-alcoholic Fatty Liver Disease complications, Non-alcoholic Fatty Liver Disease epidemiology
- Abstract
Aims: Presently, data on the association between nonalcoholic fatty liver disease (NAFLD) and distal symmetric polyneuropathy in people with diabetes are scarce and conflicting. The aim of this retrospective, cross-sectional study was to examine whether NAFLD was associated with an increased prevalence of distal symmetric polyneuropathy in type 1 diabetic adults., Methods: We studied all white type 1 diabetic outpatients (n = 286, 42.3% male, mean age 43 ± 14 years, median diabetes duration 17 [10-30] years), who participated in a foot screening program at our adult diabetes clinic after excluding those who had excessive alcohol consumption and other known causes of chronic liver disease. NAFLD was diagnosed by ultrasonography. Distal symmetric polyneuropathy was detected using the Michigan Neuropathy Screening Instrument method and the biothesiometer Vibrotest., Results: Overall, the prevalence rates of NAFLD and distal symmetric polyneuropathy were 52.4% and 35.3%, respectively. Patients with NAFLD had a substantially increased prevalence of distal symmetric polyneuropathy compared to their counterparts without NAFLD (51.0% vs. 17.1%, p < 0.001). In univariate analysis, NAFLD was associated with an approximately 5-fold increased risk of prevalent distal symmetric polyneuropathy (odds ratio [OR] 5.32, 95% confidence interval [CI] 3.1-9.3, p < 0.001). This association remained significant even after adjustment for age, sex, diabetes duration, hemoglobin A1c, diabetic retinopathy, smoking, metabolic syndrome, chronic kidney disease and carotid artery stenoses ≥ 40% (adjusted-OR 2.23, 95% CI 1.1-4.8, p < 0.05)., Conclusions: Our results show that NAFLD, diagnosed by ultrasonography, is strongly associated with an increased risk of distal symmetric polyneuropathy in type 1 diabetic adults, independently of several cardio-metabolic risk factors., (Copyright © 2017 Elsevier Inc. All rights reserved.)
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- 2017
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24. Primary cutaneous B-cell lymphoma and chronic leg ulcers in a patient with type 2 diabetes.
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Mantovani A, Perrone F, Stoico V, Pichiri I, Salvotelli L, Teobaldi I, Bruti M, Conti M, Cima L, Eccher A, and Bonora E
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The incidences of type 2 diabetes mellitus and many cancers are rapidly increasing worldwide. Diabetes is a strong risk factor for some cancers (including lymphomas) and is also associated with adverse cancer outcomes. After gastrointestinal tract, the skin is the second most frequent extranodal site involved by non-Hodgkin lymphomas and the cutaneous B-cell lymphomas (CBCLs) range from 25% to 30% of all primary cutaneous lymphomas. The primary cutaneous diffuse large B-cell lymphoma (PCDLBCL) is an aggressive lymphoma with a poor prognosis, representing roughly 20% of all primary CBCLs. Classically, the cutaneous manifestation of this lymphoma is a red or violaceous tumors arising on a leg. To date, despite the large body of evidence suggesting that diabetes is strongly associated with an increased risk of some cancers, very little information is available regarding a possible association between type 2 diabetes and primary cutaneous diffuse large B-cell lymphoma. In this report, we will present the case of a white adult patient with type 2 diabetes with chronic leg ulcers complicated by a primary cutaneous diffuse large B-cell lymphoma., Learning Points: Diabetes mellitus is increasing worldwide as well as the incidence of many cancers.Diabetes mellitus is a powerful risk factor for some cancers (including lymphomas) and is strongly associated with adverse cancer outcomes.Seen that diabetes is strongly associated with an increased risk of cancers (including cutaneous lymphomas), clinicians should always keep in mind this complication in elderly patients with type 2 diabetes, even in a chronic leg ulcer with hypertrophy of the wound edge, which is hard to heal and does not have the typical characteristics of a diabetic or vascular ulcer. In these cases, a biopsy should be performed to rule out a neoplasm.Early diagnosis and correct management of cancer in a patient with type 2 diabetes are crucial to improve clinical outcomes.
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- 2017
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25. Nonalcoholic fatty liver disease is independently associated with an increased incidence of cardiovascular disease in adult patients with type 1 diabetes.
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Mantovani A, Mingolla L, Rigolon R, Pichiri I, Cavalieri V, Zoppini G, Lippi G, Bonora E, and Targher G
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- Adult, Cohort Studies, Female, Humans, Incidence, Male, Middle Aged, Retrospective Studies, Cardiovascular Diseases diagnostic imaging, Cardiovascular Diseases epidemiology, Diabetes Mellitus, Type 1 diagnostic imaging, Diabetes Mellitus, Type 1 epidemiology, Non-alcoholic Fatty Liver Disease diagnostic imaging, Non-alcoholic Fatty Liver Disease epidemiology
- Abstract
Background: Recent studies suggested that nonalcoholic fatty liver disease (NAFLD) is associated with an increased prevalence of cardiovascular disease (CVD) in type 1 diabetes. We assessed whether NAFLD also predicts the risk of incident CVD events in type 1 diabetic adults., Methods: We studied a retrospective cohort of 286 type 1 diabetic outpatients (mean age 43±14years; median duration of diabetes 17 [10-30] years) without secondary causes of chronic liver diseases, who were followed for a mean period of 5.3years for the occurrence of incident CVD events (a combined endpoint inclusive of nonfatal ischemic heart disease, nonfatal ischemic stroke or coronary/peripheral artery revascularizations). NAFLD was diagnosed by ultrasonography., Results: Overall, 150 patients (52.4%) had NAFLD at baseline. During a mean follow-up of 5.3±2.1years, 28 patients developed incident CVD events. Patients with NAFLD had a higher incidence of CVD events than those without NAFLD (17.3% vs. 1.5%, p<0.001). NAFLD was associated with an increased risk of CVD events (hazard ratio [HR] 8.16, 95% confidence interval [CI] 1.9-35.1, p<0.005). Adjustments for age, sex, body mass index, smoking, diabetes duration, hemoglobin A1c, dyslipidemia, hypertension, chronic kidney disease, prior ischemic heart disease and serum gamma-glutamyltransferase levels did not appreciably attenuate the association between NAFLD and incident CVD (adjusted-HR 6.73, 95% CI 1.2-38.1, p=0.031)., Conclusions: This is the first observational study to demonstrate that NAFLD is associated with an increased risk of incident CVD events in type 1 diabetic adults, independently of established CVD risk factors and diabetes-related variables., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
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- 2016
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26. Nonalcoholic Fatty Liver Disease Is Associated With Ventricular Arrhythmias in Patients With Type 2 Diabetes Referred for Clinically Indicated 24-Hour Holter Monitoring.
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Mantovani A, Rigamonti A, Bonapace S, Bolzan B, Pernigo M, Morani G, Franceschini L, Bergamini C, Bertolini L, Valbusa F, Rigolon R, Pichiri I, Zoppini G, Bonora E, Violi F, and Targher G
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- Aged, Alanine Transaminase blood, Aspartate Aminotransferases blood, Body Mass Index, Cholesterol blood, Cross-Sectional Studies, Female, Heart Rate, Humans, Male, Middle Aged, Non-alcoholic Fatty Liver Disease complications, Prevalence, Retrospective Studies, Risk Factors, Tachycardia, Ventricular diagnosis, Triglycerides blood, Ventricular Function, Left, gamma-Glutamyltransferase blood, Diabetes Mellitus, Type 2 complications, Electrocardiography, Ambulatory, Non-alcoholic Fatty Liver Disease diagnosis, Tachycardia, Ventricular complications
- Abstract
Objective: Recent studies have suggested that nonalcoholic fatty liver disease (NAFLD) is associated with an increased risk of heart rate-corrected QT interval prolongation and atrial fibrillation in patients with type 2 diabetes. Currently, no data exist regarding the relationship between NAFLD and ventricular arrhythmias in this patient population., Research Design and Methods: We retrospectively analyzed the data of 330 outpatients with type 2 diabetes without preexisting atrial fibrillation, end-stage renal disease, or known liver diseases who had undergone 24-h Holter monitoring for clinical reasons between 2013 and 2015. Ventricular arrhythmias were defined as the presence of nonsustained ventricular tachycardia (VT), >30 premature ventricular complexes (PVCs) per hour, or both. NAFLD was diagnosed by ultrasonography., Results: Compared with patients without NAFLD, those with NAFLD (n = 238, 72%) had a significantly higher prevalence of >30 PVCs/h (19.3% vs. 6.5%, P < 0.005), nonsustained VT (14.7% vs. 4.3%, P < 0.005), or both (27.3% vs. 9.8%, P < 0.001). NAFLD was associated with a 3.5-fold increased risk of ventricular arrhythmias (unadjusted odds ratio [OR] 3.47 [95% CI 1.65-7.30], P < 0.001). This association remained significant even after adjusting for age, sex, BMI, smoking, hypertension, ischemic heart disease, valvular heart disease, chronic kidney disease, chronic obstructive pulmonary disease, serum γ-glutamyltransferase levels, medication use, and left ventricular ejection fraction (adjusted OR 3.01 [95% CI 1.26-7.17], P = 0.013)., Conclusions: This is the first observational study to show that NAFLD is independently associated with an increased risk of prevalent ventricular arrhythmias in patients with type 2 diabetes., (© 2016 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)
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- 2016
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27. Interleukin-6 as a potential positive modulator of human beta-cell function: an exploratory analysis-the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 6.
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Dauriz M, Trombetta M, Boselli L, Santi L, Brangani C, Pichiri I, Bonora E, and Bonadonna RC
- Subjects
- Adult, Aged, Biomarkers blood, C-Reactive Protein metabolism, Female, Humans, Interleukin-10 blood, Male, Middle Aged, Tumor Necrosis Factor-alpha blood, Diabetes Mellitus, Type 2 blood, Insulin-Secreting Cells metabolism, Interleukin-6 blood
- Abstract
Aims: Recent studies in mouse models of T2D showed that interleukin-6 (IL-6), released from skeletal muscle, is associated with increased glucose-dependent insulin secretion. Few data currently exist exploring the relationship between IL-6 and beta-cell function in humans. We investigated whether IL-6 is positively associated with beta-cell function in newly diagnosed T2D. We extended the same analyses to IL-10, because it regulated similarly to IL-6 in skeletal muscle, and TNF-α and C-reactive protein (CRP), as general biomarkers of inflammation., Methods: In 330 VNDS participants, we assessed (1) basal plasma concentrations of IL-6, IL-10, TNF-α, and CRP; (2) beta-cell function, estimated by OGTT minimal modeling and expressed as derivative (DC) and proportional control (PC); (3) insulin sensitivity, by euglycemic insulin clamp., Results: IL-6 was positively associated with PC in both univariate analysis (p = 0.04) and after adjustment for age, sex, BMI, HbA1c, and M-clamp (p = 0.01). HbA1c was the major independent contributor to the overall variance of PC (16 %), followed by BMI and IL-6 (~2 % each). Similar results were obtained for IL-10 (p = 0.048, univariate; p = 0.04, fully adjusted). TNF-α and CRP were not significantly associated with any component of beta-cell function., Conclusions: Our data are the first evidence in human subjects that an endocrine loop involving IL-6 may act as positive modulator of glucose-dependent insulin secretion. Further functional studies are needed to corroborate IL-6 system as a potential druggable target in diabetes., Clinical Trial Registration Number: NCT01526720 ( http://www.clinicaltrial.gov ).
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- 2016
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28. Prevalence of neuropathy in type 2 diabetic patients and its association with other diabetes complications: The Verona Diabetic Foot Screening Program.
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Salvotelli L, Stoico V, Perrone F, Cacciatori V, Negri C, Brangani C, Pichiri I, Targher G, Bonora E, and Zoppini G
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- Aged, Ankle Brachial Index, Body Mass Index, Cohort Studies, Cross-Sectional Studies, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 therapy, Diabetic Angiopathies complications, Diabetic Foot prevention & control, Diabetic Neuropathies complications, Female, Glycated Hemoglobin analysis, Humans, Hyperglycemia prevention & control, Italy epidemiology, Male, Mass Screening, Obesity complications, Peripheral Arterial Disease complications, Peripheral Nervous System Diseases complications, Prevalence, Retrospective Studies, Sex Factors, Diabetes Mellitus, Type 2 complications, Diabetic Neuropathies epidemiology, Peripheral Nervous System Diseases epidemiology
- Abstract
Aims: Somatic neuropathy is a chronic complication of diabetes. The purpose of our study was to determine prevalence and clinical variables associated with somatic neuropathy applying a simple screening method., Methods: All outpatients with type 2 diabetes attending our diabetic clinic were offered to participate into a diabetic foot screening program, in the period January 2004-December 2012. A total of 3,591 diabetic patients (55.5% men, age 68±10years) underwent detection of somatic neuropathy using the Michigan Neuropathy Screening Instrument in its parts of symptoms (administering a questionnaire) and clinical assessment slightly modified (evaluating foot inspection, vibration sensation by biothesiometer, ankle reflexes)., Results: The prevalence of somatic neuropathy was 2.2% in men and 5.5% in women (p<0.001) when assessed by symptom questionnaire, whereas it was 30.5% in men and 30.8% (p=NS) in women when identified by clinical assessment. In subjects with somatic neuropathy macro- and microvascular complications of diabetes were significantly more common. In multivariate logistic regression analyses BMI, HbA1c and ankle/brachial index independently predicted the presence of neuropathy., Conclusion: The prevalence of somatic neuropathy in type 2 diabetes is nearly 30% when searched with clinical examination. Poor metabolic control, excess body weight and peripheral arteriopathy are independent markers of somatic neuropathy., (Copyright © 2015 Elsevier Inc. All rights reserved.)
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- 2015
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29. Nonalcoholic Fatty Liver Disease Is Independently Associated with Early Left Ventricular Diastolic Dysfunction in Patients with Type 2 Diabetes.
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Mantovani A, Pernigo M, Bergamini C, Bonapace S, Lipari P, Pichiri I, Bertolini L, Valbusa F, Barbieri E, Zoppini G, Bonora E, and Targher G
- Subjects
- Aged, Body Mass Index, Cross-Sectional Studies, Diabetes Complications, Echocardiography, Female, Glomerular Filtration Rate, Glycated Hemoglobin metabolism, Humans, Hypertension, Liver diagnostic imaging, Logistic Models, Male, Middle Aged, Non-alcoholic Fatty Liver Disease physiopathology, Obesity, Odds Ratio, Overweight, Ultrasonography, Doppler, Ventricular Dysfunction, Left physiopathology, Diabetes Mellitus, Type 2 physiopathology, Non-alcoholic Fatty Liver Disease complications, Ventricular Dysfunction, Left complications
- Abstract
Accumulating evidence suggests that nonalcoholic fatty liver disease (NAFLD) is associated with left ventricular diastolic dysfunction (LVDD) in nondiabetic individuals. To date, there are very limited data on this topic in patients with type 2 diabetes and it remains uncertain whether NAFLD is independently associated with the presence of LVDD in this patient population. We performed a liver ultrasonography and trans-thoracic echocardiography (with speckle-tracking strain analysis) in 222 (156 men and 66 women) consecutive type 2 diabetic outpatients with no previous history of ischemic heart disease, chronic heart failure, valvular diseases and known hepatic diseases. Binary logistic regression analysis was used to examine the association between NAFLD and the presence/severity of LVDD graded according to the current criteria of the American Society of Echocardiography, and to identify the variables that were independently associated with LVDD, which was included as the dependent variable. Patients with ultrasound-diagnosed NAFLD (n = 158; 71.2% of total) were more likely to be female, overweight/obese, and had longer diabetes duration, higher hemoglobin A1c and lower estimated glomerular filtration rate (eGFR) than those without NAFLD. Notably, they also had a remarkably greater prevalence of mild and/or moderate LVDD compared with those without NAFLD (71% vs. 33%; P<0.001). Age, hypertension, smoking, medication use, E/A ratio, LV volumes and mass were comparable between the two groups of patients. NAFLD was associated with a three-fold increased odds of mild and/or moderate LVDD after adjusting for age, sex, body mass index, hypertension, diabetes duration, hemoglobin A1c, eGFR, LV mass index and ejection fraction (adjusted-odds ratio 3.08, 95%CI 1.5-6.4, P = 0.003). In conclusion, NAFLD is independently associated with early LVDD in type 2 diabetic patients with preserved systolic function.
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- 2015
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30. Heart valve calcification in patients with type 2 diabetes and nonalcoholic fatty liver disease.
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Mantovani A, Pernigo M, Bergamini C, Bonapace S, Lipari P, Valbusa F, Bertolini L, Zenari L, Pichiri I, Dauriz M, Zoppini G, Barbieri E, Byrne CD, Bonora E, and Targher G
- Subjects
- Aged, Aortic Valve, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Mitral Valve pathology, Sclerosis pathology, Calcinosis etiology, Diabetes Mellitus, Type 2 complications, Heart Valve Diseases etiology, Non-alcoholic Fatty Liver Disease complications
- Abstract
Purpose: Aortic valve sclerosis (AVS) and mitral annulus calcification (MAC) are two powerful predictors of adverse cardiovascular outcomes in patients with type 2 diabetes, but the etiology of valvular calcification is uncertain. Nonalcoholic fatty liver disease (NAFLD) is an emerging cardiovascular risk factor and is very common in type 2 diabetes, but whether NAFLD is associated with valvular calcification in this group of patients is presently unknown., Methods: We undertook a cross-sectional study of 247 consecutive type 2 diabetic outpatients with no previous history of heart failure, valvular heart diseases (aortic stenosis, mitral stenosis, moderate or severe aortic and mitral regurgitation) or hepatic diseases. Presence of MAC and AVS was detected by echocardiography. NAFLD was diagnosed by ultrasonography., Results: Overall, 139 (56.3%) patients had no heart valve calcification (HVC-0), 65 (26.3%) patients had one valve affected (HVC-1) and 43 (17.4%) patients had both valves affected (HVC-2). 175 (70.8%) patients had NAFLD and the prevalence of this disease markedly increased in patients with HVC-2 compared with either HVC-1 or HVC-0 (86.1% vs. 83.1% vs. 60.4%, respectively; p < 0.001). NAFLD was significantly associated with AVS and/or MAC (unadjusted-odds ratio 3.51, 95% CI 1.89-6.51, p < 0.001). Adjustments for age, sex, waist circumference, smoking, blood pressure, hemoglobin A1c, LDL-cholesterol, kidney function parameters, medication use and echocardiographic variables did not appreciably weaken this association (adjusted-odds ratio 2.70, 95% CI 1.23-7.38, p < 0.01)., Conclusions: Our results show that NAFLD is an independent predictor of cardiac calcification in both the aortic and mitral valves in patients with type 2 diabetes., (Copyright © 2015 Elsevier Inc. All rights reserved.)
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- 2015
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31. Prevalence of Cardiovascular Autonomic Neuropathy in a Cohort of Patients With Newly Diagnosed Type 2 Diabetes: The Verona Newly Diagnosed Type 2 Diabetes Study (VNDS).
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Zoppini G, Cacciatori V, Raimondo D, Gemma M, Trombetta M, Dauriz M, Brangani C, Pichiri I, Negri C, Stoico V, Bergamini C, Targher G, Santi L, Thomaseth K, Bellavere F, Bonadonna RC, and Bonora E
- Subjects
- Aged, Blood Pressure physiology, Cholesterol, HDL blood, Early Diagnosis, Epidemiologic Methods, Female, Glycated Hemoglobin metabolism, Humans, Male, Middle Aged, Neurologic Examination, Triglycerides blood, Autonomic Nervous System Diseases diagnosis, Diabetes Mellitus, Type 2 diagnosis, Diabetic Angiopathies diagnosis, Diabetic Neuropathies diagnosis
- Abstract
Objective: Cardiovascular autonomic diabetic neuropathy (CAN) is a serious complication of diabetes. No reliable data on the prevalence of CAN among patients with newly diagnosed type 2 diabetes are available. Therefore, the aim of this study was to estimate the prevalence of CAN among patients with newly diagnosed type 2 diabetes., Research Design and Methods: A cohort of 557 patients with newly diagnosed type 2 diabetes with cardiovascular autonomic test results available was selected. Early and confirmed neuropathy were assessed using a standardized methodology and their prevalences determined. A multivariate logistic regression analysis was modeled to study the factors associated with CAN., Results: In the entire cohort, the prevalence of confirmed CAN was 1.8%, whereas that of early CAN was 15.3%. Prevalence did not differ between men and women. In the multivariate analyses BMI results were independently and significantly associated with CAN after adjusting for age, sex, hemoglobin A1c, pulse pressure, triglyceride-to-HDL cholesterol ratio, kidney function parameters, and antihypertensive treatment., Conclusions: CAN could be detected very early in type 2 diabetes. This study may suggest the importance of performing standardized cardiovascular autonomic tests after diagnosis of type 2 diabetes., (© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)
- Published
- 2015
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32. Lower levels of 25-hydroxyvitamin D3 are associated with a higher prevalence of microvascular complications in patients with type 2 diabetes.
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Zoppini G, Galletti A, Targher G, Brangani C, Pichiri I, Trombetta M, Negri C, De Santi F, Stoico V, Cacciatori V, and Bonora E
- Abstract
Objective: Low levels of serum 25-hydroxyvitamin D [25(OH)D] are commonly found in type 2 diabetes. We examined whether there is an association between circulating 25(OH)D concentrations and the presence of microvascular complications in people with type 2 diabetes., Research Design and Methods: We studied 715 outpatients with type 2 diabetes who regularly attended our clinic. Participants were evaluated for the presence of microvascular complications (namely retinopathy and/or nephropathy) by clinical evaluation, fundus examination, urine examination and biochemical tests. Serum 25(OH)D levels were also measured for each participant., Results: Hypovitaminosis D (ie, a serum 25(OH)D level <30 ng/mL) was found in 75.4%, while deficiency (ie, a 25(OH)D level <20 ng/mL) was found in 36.6% of these patients. Serum 25(OH)D levels decreased significantly in relation to the severity of either retinopathy or nephropathy or both. In multivariate logistic regression analysis, lower 25(OH)D levels were independently associated with the presence of microvascular complications (considered as a composite end point; OR 0.758; 95% CI 0.607 to 0.947, p=0.015). Notably, this association remained significant even after excluding those with an estimated glomerular filtration rate <60 mL/min/1.73 m(2)., Conclusions: We found an inverse and independent relationship between circulating 25(OH)D levels and the prevalence of microvascular complications in patients with type 2 diabetes. However, vitamin D may be simply a marker and causality cannot be implied from our cross-sectional study. Whether vitamin D supplementation in patients with type 2 diabetes may have beneficial effects on the risk of microvascular complications remains to be investigated.
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- 2015
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33. Association of nonalcoholic fatty liver disease with QTc interval in patients with type 2 diabetes.
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Targher G, Valbusa F, Bonapace S, Bertolini L, Zenari L, Pichiri I, Mantovani A, Zoppini G, Bonora E, Barbieri E, and Byrne CD
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- Aged, Arrhythmias, Cardiac complications, Arrhythmias, Cardiac epidemiology, Cohort Studies, Cross-Sectional Studies, Death, Sudden, Cardiac epidemiology, Death, Sudden, Cardiac etiology, Diabetic Cardiomyopathies epidemiology, Electrocardiography, Female, Humans, Italy epidemiology, Liver diagnostic imaging, Male, Middle Aged, Non-alcoholic Fatty Liver Disease complications, Non-alcoholic Fatty Liver Disease diagnostic imaging, Outpatient Clinics, Hospital, Risk Factors, Severity of Illness Index, Signal Processing, Computer-Assisted, Ultrasonography, Arrhythmias, Cardiac etiology, Diabetes Mellitus, Type 2 complications, Diabetic Cardiomyopathies etiology, Non-alcoholic Fatty Liver Disease physiopathology
- Abstract
Background and Aims: The relationship between nonalcoholic fatty liver disease (NAFLD) and prolonged heart rate-corrected QT (QTc) interval, a risk factor for ventricular arrhythmias and sudden cardiac death, is currently unknown. We therefore examined the relationship between NAFLD and QTc interval in patients with type 2 diabetes., Methods and Results: We studied a random sample of 400 outpatients with type 2 diabetes. Computerized electrocardiograms were performed for analysis and quantification of QTc interval. NAFLD was diagnosed by ultrasonographic detection of hepatic steatosis in the absence of other liver diseases. Mean QTc interval and the proportion of those with increased QTc interval (defined as either QTc interval above the median, i.e. ≥416 ms, or QTc interval >440 ms) increased steadily with the presence and ultrasonographic severity of NAFLD. NAFLD was associated with increased QTc interval (odds ratio [OR] 2.16, 95% CI 1.4-3.4, p < 0.001). Adjustments for age, sex, smoking, alcohol consumption, BMI, hypertension, electrocardiographic left ventricular hypertrophy, diabetes-related variables and comorbid conditions did not attenuate the association between NAFLD and increased QTc interval (adjusted-OR 2.26, 95% CI 1.4-3.7, p < 0.001). Of note, the exclusion of those with established coronary heart disease or peripheral artery disease from analysis did not appreciably weaken this association., Conclusion: This is the first study to demonstrate that the presence and severity of NAFLD on ultrasound is strongly associated with increased QTc interval in patients with type 2 diabetes even after adjusting for multiple established risk factors and potential confounders., (Copyright © 2014 Elsevier B.V. All rights reserved.)
- Published
- 2014
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34. Nonalcoholic fatty liver disease is independently associated with an increased incidence of chronic kidney disease in patients with type 1 diabetes.
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Targher G, Mantovani A, Pichiri I, Mingolla L, Cavalieri V, Mantovani W, Pancheri S, Trombetta M, Zoppini G, Chonchol M, Byrne CD, and Bonora E
- Subjects
- Adult, Albuminuria epidemiology, Albuminuria etiology, Albuminuria pathology, Diabetes Complications etiology, Diabetes Complications pathology, Female, Follow-Up Studies, Humans, Incidence, Italy epidemiology, Longitudinal Studies, Male, Middle Aged, Renal Insufficiency, Chronic etiology, Renal Insufficiency, Chronic pathology, Retrospective Studies, Risk Factors, Diabetes Complications epidemiology, Diabetes Mellitus, Type 1 complications, Non-alcoholic Fatty Liver Disease physiopathology, Renal Insufficiency, Chronic epidemiology
- Abstract
Objective: There is no information about the role of nonalcoholic fatty liver disease (NAFLD) in predicting the development of chronic kidney disease (CKD) in type 1 diabetes., Research Design and Methods: We studied 261 type 1 diabetic adults with preserved kidney function and with no macroalbuminuria at baseline, who were followed for a mean period of 5.2 years for the occurrence of incident CKD (defined as estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m2 and/or macroalbuminuria). NAFLD was diagnosed by ultrasonography., Results: At baseline, patients had a mean eGFR of 92 ± 23 mL/min/1.73 m2; 234 (89.7%) of them had normoalbuminuria and 27 (10.3%) microalbuminuria. NAFLD was present in 131 (50.2%) patients. During follow-up, 61 subjects developed incident CKD. NAFLD was associated with an increased risk of incident CKD (hazard ratio [HR] 2.85 [95% CI 1.59-5.10]; P < 0.001). Adjustments for age, sex, duration of diabetes, hypertension, A1C, and baseline eGFR did not appreciably attenuate this association (adjusted HR 2.03 [1.10-3.77], P < 0.01). Results remained unchanged after excluding those who had microalbuminuria at baseline (adjusted HR 1.85 [1.03-3.27]; P < 0.05). Addition of NAFLD to traditional risk factors for CKD significantly improved the discriminatory capability of the regression models for predicting CKD (e.g., with NAFLD c statistic 0.79 [95% CI 0.73-0.86] vs. 0.76 [0.71-0.84] without NAFLD, P = 0.002)., Conclusions: This is the first study to demonstrate that NAFLD is strongly associated with an increased incidence of CKD. Measurement of NAFLD improves risk prediction for CKD, independently of traditional cardio-renal risk factors, in patients with type 1 diabetes., (© 2014 by the American Diabetes Association.)
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- 2014
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35. Nonalcoholic fatty liver disease is associated with aortic valve sclerosis in patients with type 2 diabetes mellitus.
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Bonapace S, Valbusa F, Bertolini L, Pichiri I, Mantovani A, Rossi A, Zenari L, Barbieri E, and Targher G
- Subjects
- Aged, Aortic Valve diagnostic imaging, Aortic Valve Stenosis blood, Aortic Valve Stenosis diagnostic imaging, Diabetes Mellitus, Type 2 blood, Echocardiography, Fatty Liver blood, Fatty Liver diagnostic imaging, Female, Humans, Liver diagnostic imaging, Male, Middle Aged, Non-alcoholic Fatty Liver Disease, Regression Analysis, Aortic Valve Stenosis complications, Diabetes Mellitus, Type 2 complications, Fatty Liver complications
- Abstract
Background: Recent epidemiological data suggest that non-alcoholic fatty liver disease (NAFLD) is closely associated with aortic valve sclerosis (AVS), an emerging risk factor for adverse cardiovascular outcomes, in nondiabetic and type 2 diabetic individuals. To date, nobody has investigated the association between NAFLD and AVS in people with type 2 diabetes, a group of individuals in which the prevalence of these two diseases is high., Methods and Results: We recruited 180 consecutive type 2 diabetic patients without ischemic heart disease, valvular heart disease, hepatic diseases or excessive alcohol consumption. NAFLD was diagnosed by liver ultrasonography whereas AVS was determined by conventional echocardiography in all participants. In the whole sample, 120 (66.7%) patients had NAFLD and 53 (29.4%) had AVS. No patients had aortic stenosis. NAFLD was strongly associated with an increased risk of prevalent AVS (odds ratio [OR] 2.79, 95% CI 1.3-6.1, p<0.01). Adjustments for age, sex, duration of diabetes, diabetes treatment, body mass index, smoking, alcohol consumption, hypertension, dyslipidemia, hemoglobin A1c and estimated glomerular filtration rate did not attenuate the strong association between NAFLD and risk of prevalent AVS (adjusted-OR 3.04, 95% CI 1.3-7.3, p = 0.01)., Conclusions: Our results provide the first demonstration of a positive and independent association between NAFLD and AVS in patients with type 2 diabetes mellitus.
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- 2014
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36. Glycated haemoglobin is inversely related to serum vitamin D levels in type 2 diabetic patients.
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Zoppini G, Galletti A, Targher G, Brangani C, Pichiri I, Negri C, Stoico V, Cacciatori V, and Bonora E
- Subjects
- Adult, Aged, Aged, 80 and over, Cohort Studies, Cross-Sectional Studies, Diabetes Mellitus, Type 2 complications, Female, Glycated Hemoglobin metabolism, Humans, Male, Middle Aged, Vitamin D Deficiency blood, Vitamin D Deficiency complications, Diabetes Mellitus, Type 2 blood, Glycated Hemoglobin analysis, Vitamin D blood
- Abstract
Objective: A correlation between glucose control and 25(OH)D metabolism has been suggested by previous studies. However, this correlation has not yet been evaluated considering the impact of chronic complications of type 2 diabetes, especially the presence of nephropathy. Thus, the aim of this study was to determine the correlation between A1C and 25(OH)D in a well characterized cohort of type 2 diabetic patients., Research Design and Methods: We cross-sectionally examined the association between A1C and serum 25(OH) D in 715 type 2 diabetic patients attending our clinic during the years 2011-2012. The average age was 68±12 years (range 26-94 years). The relation between A1C and serum 25(OH)D levels was modelled by multiple linear regression analyses., Results: Serum 25(OH)D levels were inversely associated with A1C levels (r = -0.116, p = .003). This relation maintains its independence in the multivariate analysis after adjusting for age, sex, A1C, BMI, treatment and duration of diabetes and nephropathy., Conclusions: In type 2 diabetic patients, high A1C levels are associated with low concentrations of serum 25(OH)D independently of duration of diabetes, diabetic treatment and nephropathy. Future studies are needed to clarify the biological relation between glucose control and vitamin D metabolism in type 2 diabetes.
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- 2013
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37. Non-alcoholic fatty liver disease is associated with an increased prevalence of atrial fibrillation in hospitalized patients with type 2 diabetes.
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Targher G, Mantovani A, Pichiri I, Rigolon R, Dauriz M, Zoppini G, Morani G, Vassanelli C, and Bonora E
- Subjects
- Aged, Aged, 80 and over, Atrial Fibrillation diagnosis, Chi-Square Distribution, Cross-Sectional Studies, Diabetes Mellitus, Type 2 diagnosis, Electrocardiography, Fatty Liver diagnostic imaging, Female, Humans, Italy epidemiology, Logistic Models, Male, Middle Aged, Multivariate Analysis, Non-alcoholic Fatty Liver Disease, Odds Ratio, Prevalence, Retrospective Studies, Risk Factors, Ultrasonography, Atrial Fibrillation epidemiology, Diabetes Mellitus, Type 2 epidemiology, Fatty Liver epidemiology, Hospitalization
- Abstract
NAFLD (non-alcoholic fatty liver disease) and AF (atrial fibrillation) are two pathological conditions that are highly prevalent in developed countries and share multiple risk factors. The relationship between NAFLD and AF in Type 2 diabetes is currently unknown. We studied a hospital-based sample of 702 patients with Type 2 diabetes discharged from our Division of Endocrinology during 2007-2011. The diagnosis of AF was confirmed in affected participants on the basis of ECGs and medical history by experienced cardiologists. NAFLD was defined by ultrasonographic detection of hepatic steatosis in the absence of other liver diseases. Of the 702 hospitalized patients included in the study, 514 (73.2%) of them had NAFLD and 85 (12.1%) had persistent or permanent AF. NAFLD was associated with an increased risk of prevalent AF {OR (odds ratio), 3.04 [95% CI (confidence interval), 1.54-6.02]; P<0.001}. Adjustments for age, sex, systolic BP (blood pressure), HbA1c, (glycated haemoglobin), estimated GFR (glomerular filtration rate), total cholesterol, electrocardiographic LVH (left ventricular hypertrophy), COPD (chronic obstructive pulmonary disease), and prior history of HF (heart failure), VHD (valvular heart disease) or hyperthyroidism did not attenuate the association between NAFLD and AF [adjusted OR, 5.88 (95% CI, 2.72-12.7); P<0.001]. In conclusion, our results show that ultrasound-diagnosed NAFLD is strongly associated with an increased prevalence of persistent or permanent AF in patients with Type 2 diabetes, independently of several clinical risk factors for AF. The potential impact of NAFLD on AF deserves particular attention, especially with respect to the implications for screening and surveillance strategies in the growing number of patients with NAFLD.
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- 2013
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38. Vitamin D, thrombosis, and hemostasis: more than skin deep.
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Targher G, Pichiri I, and Lippi G
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- Animals, Cardiovascular Diseases blood, Cardiovascular Diseases drug therapy, Hemostasis, Humans, Risk Factors, Vitamin D blood, Vitamin D metabolism, Vitamin D Deficiency blood, Vitamin D Deficiency complications, Vitamin D Deficiency prevention & control, Thrombosis blood, Thrombosis drug therapy, Vitamin D therapeutic use
- Abstract
Vitamin D(3) deficiency is a highly prevalent condition worldwide. Clinically, vitamin D(3) has a key role in calcium homeostasis and bone mineralization and has recently been implicated in the pathogenesis and/or progression of several acute and chronic illnesses, including cardiovascular disease (CVD). Accumulating evidence from observational, prospective studies suggests that low levels of serum 25-hydroxyvitamin D(3) are independently associated with an increased risk of CVD events and death. The molecular mechanisms of this association remain incompletely understood. A variety of biologically plausible mechanisms may mediate a cardiovascular role for the active metabolite of vitamin D(3). 1-α,25-dihydroxyvitamin D(3) regulates the renin-angiotensin system, suppresses proliferation of vascular cell smooth muscle, improves insulin resistance and endothelial cell-dependent vasodilation, inhibits myocardial cell hypertrophy, exerts anticoagulant and antifibrotic activity, and modulates macrophage activity and cytokine generation. Overall, the high prevalence of vitamin D(3) deficiency and the plausible biological mechanisms linking this to CVD risk suggest that the treatment of vitamin D(3) deficiency to prevent CVD is a promising field to explore. Large placebo-controlled randomized clinical trials are urgently needed to determine whether vitamin D supplementation could have any potential benefit in reducing future CVD events and mortality risk., (Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.)
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- 2012
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39. Triglyceride-high-density lipoprotein cholesterol is associated with microvascular complications in type 2 diabetes mellitus.
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Zoppini G, Negri C, Stoico V, Casati S, Pichiri I, and Bonora E
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- Aged, Female, Follow-Up Studies, Glomerular Filtration Rate physiology, Humans, Logistic Models, Male, Middle Aged, Multivariate Analysis, Risk Factors, Cardiovascular Diseases blood, Cholesterol, HDL blood, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 complications, Diabetic Retinopathy blood, Kidney Failure, Chronic blood, Triglycerides blood
- Abstract
The purpose of this study was to evaluate whether a high triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio is associated with an increased incidence of retinopathy and chronic kidney disease (CKD) in type 2 diabetes mellitus. Individuals with type 2 diabetes mellitus (n = 979) with an estimated glomerular filtration rate greater than 60 mL/min and without retinopathy and cardiovascular disease at baseline were followed up for the incidence of diabetic retinopathy (diagnosed by retinography) and CKD (diagnosed by estimated glomerular filtration rate ≤60 mL/min/1.73 m(2)). On follow-up (mean, 4.9 years), 217 (22.2% of total) subjects experienced CKD and/or diabetic-specific retinal lesions (microvascular complication). Of these, 111 subjects developed isolated retinopathy, 85 developed CKD alone, and 21 developed both complications. The TG/HDL-C ratio was positively associated with an increased risk of incident retinopathy and/or CKD (composite microvascular end point) independently of age, sex, body mass index, diabetes duration, hemoglobin A(1c), hypertension, smoking history, low-density lipoprotein cholesterol, albuminuria, and current use of hypoglycemic, antihypertensive, lipid-lowering, or antiplatelet drugs (multivariable-adjusted odds ratio, 2.15; 95% confidence intervals, 1.10-4.25; P = .04). These findings suggested that the TG/HDL-C ratio was associated with an increased incidence of microvascular complications in individuals with type 2 diabetes mellitus without prior cardiovascular disease, independently of several potential confounders., (Copyright © 2012 Elsevier Inc. All rights reserved.)
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- 2012
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40. Prevalence of non-alcoholic fatty liver disease and its association with cardiovascular disease in patients with type 1 diabetes.
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Targher G, Bertolini L, Padovani R, Rodella S, Zoppini G, Pichiri I, Sorgato C, Zenari L, and Bonora E
- Subjects
- Adult, Fatty Liver diagnostic imaging, Fatty Liver epidemiology, Female, Humans, Male, Middle Aged, Non-alcoholic Fatty Liver Disease, Prevalence, Ultrasonography, Cardiovascular Diseases epidemiology, Diabetes Mellitus, Type 1 complications, Diabetic Angiopathies epidemiology
- Abstract
Background & Aims: To estimate the prevalence of non-alcoholic fatty liver disease (NAFLD) in type 1 diabetic individuals, and to evaluate whether NAFLD is associated with increased prevalence of cardiovascular disease (CVD)., Methods: All patients with diagnosed type 1 diabetes with available liver ultrasound data (n=250), who regularly attended our diabetes clinic, were enrolled. Main study measures were detection of NAFLD (by patient history and liver ultrasound) and asymptomatic/symptomatic CVD (by patient history, chart review, electrocardiogram, and echo-Doppler scanning of carotid and lower limb arteries)., Results: The prevalence of NAFLD was 44.4%, and NAFLD was the most common cause (69.8%) of hepatic steatosis on ultrasound examination. Patients with NAFLD had a remarkably higher (p<0.001) age- and sex-adjusted prevalence of coronary (10.8% vs. 1.1%), cerebrovascular (37.3% vs. 5.5%) and peripheral (24.5% vs. 2.5%) vascular disease than their counterparts without NAFLD. In logistic regression analysis, NAFLD was associated with prevalent CVD (as composite endpoint), independently of age, sex, diabetes duration, hemoglobin A(1c), smoking history, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, and medication use (adjusted odds ratio 7.36, 95% confidence intervals 1.60-34.3, p<0.01)., Conclusions: Our findings suggest that NAFLD is very common in type 1 diabetic subjects and is associated, independently of several confounding factors, with a higher prevalence of CVD. Future prospective studies are needed to evaluate whether NAFLD predicts incident CVD events in type 1 diabetes., (Copyright © 2010 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.)
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- 2010
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41. Anaemia, independent of chronic kidney disease, predicts all-cause and cardiovascular mortality in type 2 diabetic patients.
- Author
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Zoppini G, Targher G, Chonchol M, Negri C, Stoico V, Pichiri I, Lippi G, Muggeo M, and Bonora E
- Subjects
- Aged, Cohort Studies, Diabetes Complications, Female, Hemoglobins biosynthesis, Hemoglobins metabolism, Humans, Kidney pathology, Longitudinal Studies, Male, Middle Aged, Risk Factors, Anemia complications, Cardiovascular Diseases complications, Cardiovascular Diseases mortality, Diabetes Mellitus, Type 2 mortality, Kidney Failure, Chronic complications
- Abstract
Objective: There is limited and controversial information on whether anaemia is a risk factor for cardiovascular mortality in type 2 diabetes, and whether this risk is modified by the presence of chronic kidney disease (CKD). We assessed the predictive role of lower hemoglobin concentrations on all-cause and cardiovascular mortality in a cohort of type 2 diabetic individuals., Methods: The cohort included 1153 type 2 diabetic outpatients, who were followed for a mean period of 4.9 years. The independent association of anaemia (i.e., hemoglobin <120 g/l in women and <130 g/l in men) with all-cause and cardiovascular mortality was evaluated by Cox proportional hazards regression models and adjusted for several potential confounders, including kidney function measures., Results: During follow-up, 166 (14.4%) patients died, 42.2% (n=70) of them from cardiovascular causes. In univariate analysis, anaemia was associated with increased risk of all-cause (hazard ratio HR 2.62, 95% confidence intervals 1.90-3.60, p<0.001) and cardiovascular mortality (HR 2.70, 1.67-4.37, p<0.001). After adjustment for age, sex, body mass index, smoking, hypertension, dyslipidemia, diabetes duration, hemoglobin A1c, medication use (hypoglycemic, anti-hypertensive, lipid-lowering and anti-platelet drugs) and kidney function measures, the association of anaemia with all-cause (adjusted HR 2.11, 1.32-3.35, p=0.002) and cardiovascular mortality (adjusted HR 2.23, 1.12-4.39, p=0.020) remained statistically significant., Conclusions: Anaemia is associated with increased risk of all-cause and cardiovascular mortality in type 2 diabetic individuals, independently of the presence of CKD and other potential confounders. The advantage to treat anaemia in type 2 diabetes for reducing the risk of adverse cardiovascular outcomes remains to be demonstrated., (Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.)
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- 2010
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42. Prevention and treatment of nonalcoholic fatty liver disease.
- Author
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Targher G, Bellis A, Fornengo P, Ciaravella F, Pichiri I, Cavallo Perin P, Trimarco B, and Marchesini G
- Subjects
- Angiotensin II Type 1 Receptor Blockers therapeutic use, Fatty Liver physiopathology, Humans, Hyperlipidemias drug therapy, Hyperlipidemias physiopathology, Hypertension drug therapy, Hypertension physiopathology, Hypoglycemic Agents therapeutic use, Hypolipidemic Agents therapeutic use, Insulin Resistance physiology, Risk Reduction Behavior, Weight Loss, Fatty Liver drug therapy, Fatty Liver prevention & control, Metabolic Syndrome drug therapy
- Abstract
A better knowledge of the biochemical mechanisms implicated in the development and progression of nonalcoholic fatty liver disease, linking fatty liver to insulin resistance and the metabolic syndrome, has shifted the goal of treatment from a mere clearing of fat from the liver to a systematic treatment of metabolic risk factors for fatty liver. Any attempt to modify the "unhealthy" habits responsible for fatty liver requires an integrated approach, based on the cognitive theory of behaviour by a multidisciplinary team including physicians, psychologists, dieticians and physical exercise experts, and recent data demonstrate that this is feasible and effective. Whenever this goal is not attained, a treatment based on insulin-sensitizers remains the best option, to simultaneously tackle all metabolic alterations of the metabolic syndrome. However, in individual patients, both raised blood pressure and dyslipidemia need to be controlled, in order to reduce cardiovascular risk. In these areas, any attempt should be made to use of drugs less likely to induce a deterioration of glucose control. It remains to be determined whether these treatments are able to modify the natural history of nonalcoholic fatty liver disease in the long term., (Copyright 2010 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.)
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- 2010
- Full Text
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43. Hemostatic and fibrinolytic abnormalities in endocrine diseases: a narrative review.
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Targher G, Pichiri I, Zoppini G, Bonora E, and Chonchol M
- Subjects
- Blood Coagulation Disorders physiopathology, Endocrine System Diseases physiopathology, Humans, Thrombosis physiopathology, Blood Coagulation physiology, Blood Coagulation Disorders etiology, Endocrine System Diseases complications, Fibrinolysis physiology, Hemostasis physiology, Thrombosis etiology
- Abstract
This review summarizes current knowledge of the effects of polycystic ovary syndrome, Cushing's syndrome, thyrotoxicosis, hypothyroidism, primary hyperparathyroidism, acromegaly, hypopituitarism, and growth hormone deficiency on coagulation and fibrinolysis. Several abnormalities of the coagulation-fibrinolytic system have been described among patients affected by these endocrine disorders. Although further larger studies are needed to provide more definitive information, clinically overt hypothyroidism appears to be associated with a bleeding tendency, whereas all other endocrine diseases appear to be associated with a thrombotic tendency. The disorders of coagulation and fibrinolysis observed in these endocrine pathologies usually range from mild to moderate and, rarely, to potentially severe laboratory abnormalities (e.g., bleeding diathesis in overt hypothyroidism mainly due to an acquired von Willebrand's syndrome type 1), are reversible after pharmacologic treatment of the hormonal dysfunction, and are usually of limited consequence in clinical practice. Nevertheless, the prompt recognition of potentially severe disorders of blood coagulation is mandatory for the correct management of these patients., ((c) Thieme Medical Publishers.)
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- 2009
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44. Nonalcoholic fatty liver disease as a contributor to hypercoagulation and thrombophilia in the metabolic syndrome.
- Author
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Targher G, Chonchol M, Miele L, Zoppini G, Pichiri I, and Muggeo M
- Subjects
- Cytokines blood, Fatty Liver complications, Fatty Liver diagnosis, Humans, Metabolic Syndrome blood, Thrombophilia blood, Fatty Liver blood, Fatty Liver epidemiology, Hemostasis physiology, Metabolic Syndrome etiology, Thrombophilia etiology
- Abstract
Nonalcoholic fatty liver disease (NAFLD), comprising its whole spectrum of conditions ranging from simple steatosis to steatohepatitis (nonalcoholic steatohepatitis; NASH) and cirrhosis, is the most frequent liver disease in developed countries and is now regarded as the liver manifestation of the metabolic syndrome. Several studies indicate that NAFLD, especially in its necro-inflammatory form (NASH), is associated with a systemic proinflammatory/prothrombotic state, independently of shared metabolic risk factors. This suggests that NAFLD/NASH is not simply a marker of the proinflammatory/prothrombotic state in the metabolic syndrome but is actively involved in its pathogenesis, possibly through the systemic release of proinflammatory and procoagulant factors from the steatotic liver (C-reactive protein, plasminogen activator inhibitor-1, interleukin-6, fibrinogen, and other proinflammatory cytokines). The clinical impact of NAFLD on the proinflammatory/prothrombotic risk profile deserves particular attention in view of the implications for screening and surveillance strategies in the growing number of patients with NAFLD.
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- 2009
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45. Prevalence of thyroid autoimmunity and subclinical hypothyroidism in persons with chronic kidney disease not requiring chronic dialysis.
- Author
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Targher G, Chonchol M, Zoppini G, Salvagno G, Pichiri I, Franchini M, and Lippi G
- Subjects
- Autoimmune Diseases blood, Humans, Hypothyroidism blood, Kidney Failure, Chronic blood, Kidney Function Tests, Prevalence, Renal Dialysis, Thyroid Function Tests, Autoimmune Diseases complications, Hypothyroidism complications, Kidney Failure, Chronic complications
- Abstract
Background: The prevalence of thyroid autoimmunity and subclinical primary hypothyroidism in persons with chronic kidney disease (CKD) not requiring chronic dialysis is not well defined., Methods: We studied 1000 consecutive adult outpatients who were referred by their general practitioner for blood testing over the last 2 years. We excluded those with abnormal serum free thyroxine (FT4) levels (n=85). No participants required chronic renal replacement therapy. Thyroid autoimmunity was defined as increased concentrations of serum anti-thyroid antibodies. Subclinical primary hypothyroidism was defined as a serum thyrotropin (TSH) concentration >4 mIU/L. CKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m(2)., Results: Overall, 53 (5.8%) subjects had eGFR <60 mL/min/1.73 m(2). Of these, 98 (10.7%) had subclinical hypothyroidism, and 213 (23.3%) subjects had increased anti-thyroid antibodies. Approximately 26% and 34% of those with eGFR <60 mL/min/1.73 m(2) had laboratory evidence of subclinical hypothyroidism or thyroid autoimmunity, respectively. In subgroup analysis stratified by TSH and thyroid autoimmunity, decreasing eGFR values appeared to be more strongly related with the increase in TSH rather than antithyroid antibodies., Conclusions: Thyroid autoimmunity and subclinical primary hypothyroidism are highly prevalent in persons with CKD not requiring chronic dialysis.
- Published
- 2009
- Full Text
- View/download PDF
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