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Start Over Author "Bettencourt A" Journal international journal of cardiology
43 results on '"Bettencourt A"'

12. Cardiac magnetic resonance myocardial perfusion imaging for detection of functionally significant obstructive coronary artery disease: A prospective study

Author

Bettencourt, Nuno, Chiribiri, Amedeo, Schuster, Andreas, Ferreira, Nuno, Sampaio, Francisco, Duarte, Ricardo, Santos, Lino, Melica, Bruno, Rodrigues, Alberto, Braga, Pedro, Teixeira, Madalena, Simões, Lino, Leite-Moreira, Adelino, Silva-Cardoso, José, Nagel, Eike, Portugal, Pedro, and Gama, Vasco

Published
2013
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18. Reduction of cardiac imaging tests during the COVID-19 pandemic: The case of Italy. Findings from the IAEA Non-invasive Cardiology Protocol Survey on COVID-19 (INCAPS COVID)

Author

Dondi, M., Milan, E., Pontone, G., Hirschfeld, C. B., Williams, M., Shaw, L. J., Pynda, Y., Raggi, P., Cerci, R., Vitola, J., Better, N., Villines, T. C., Dorbala, S., Pascual, T. N. B., Giubbini, R., Einstein, A. J., Paez, D., Italy: Domenico Albano, Pierpaolo, Alongi, Gaspare, Arnone, Elisa, Bagatin, Sergio, Baldari, Matteo, Bauckneht, Paolo, Bertelli, Francesco, Bianco, Rachele, Bonfiglioli, Roberto, Boni, Andrea, Bruno, Isabella, Bruno, Elena, Busnardo, Elena, Califaretti, Luca, Camoni, Aldo, Carnevale, Roberta, Casoni, Armando Ugo Cavallo, Giorgio, Cavenaghi, Franca, Chierichetti, Marcello, Chiocchi, Corrado, Cittanti, Mauro, Colletta, Umberto, Conti, Alberto, Cossu, Alberto, Cuocolo, Marco, Cuzzocrea, Maria Luisa De Rimini, Giuseppe De Vincentis, Eleonora Del Giudice, Alberico Del Torto, Veronica Della Tommasina, Rexhep, Durmo, Paola Anna Erba, Laura, Evangelista, Riccardo, Faletti, Evelina, Faragasso, Mohsen, Farsad, Paola, Ferro, Luigia, Florimonte, Viviana, Frantellizzi, Fabio Massimo Fringuelli, Marco, Gatti, Angela, Gaudiano, Alessia, Gimelli, Raffaele, Giubbini, Francesca, Giuffrida, Salvatore, Ialuna, Riccardo, Laudicella, Lucia, Leccisotti, Lucia, Leva, Liga, Riccardo, Carlo, Liguori, Giampiero, Longo, Margherita, Maffione, Maria Elisabetta Mancini, Claudio, Marcassa, Elisa, Milan, Barbara, Nardi, Sara, Pacella, Giovanna, Pepe, Gianluca, Pontone, Sabina, Pulizzi, Natale, Quartuccio, Lucia, Rampin, Fabrizio, Ricci, Pierluigi, Rossini, Giuseppe, Rubini, Vincenzo, Russo, Gian Mauro Sacchetti, Gianmario, Sambuceti, Massimo, Scarano, Roberto, Sciagrà, Massimiliano, Sperandio, Antonella, Stefanelli, Guido, Ventroni, Stefania Zoboli Members from Rest of the World (alphabetically by country and last name) Afghanistan: Mohammad Nawaz Nasery Albania: Artan Goda, Ervina Shirka Algeria: Rabie Benlabgaa, Salah, Bouyoucef, Abdelkader, Medjahedi, Qais Nailli Argentina: Mariela Agolti, Roberto Nicolas Aguero, Maria del Carmen Alak, Lucia Graciela Alberguina, Guillermo, Arroñada, Andrea, Astesiano, Alfredo, Astesiano, Carolina Bas Norton, Pablo, Benteo, Juan, Blanco, Juan Manuel Bonelli, Jose Javier Bustos, Raul, Cabrejas, Jorge, Cachero, Roxana, Campisi, Alejandro, Canderoli, Silvia, Carames, Patrícia, Carrascosa, Ricardo, Castro, Oscar, Cendoya, Luciano Martin Cognigni, Carlos, Collaud, Claudia, Cortes, Javier, Courtis, Daniel, Cragnolino, Mariana, Daicz, Alejandro De La Vega, Silvia Teresa De Maria, Horacio Del Riego, Fernando, Dettori, Alejandro, Deviggiano, Laura, Dragonetti, Mario, Embon, Ruben Emilio Enriquez, Jorge, Ensinas, Fernando, Faccio, Adolfo, Facello, Diego, Garofalo, Ricardo, Geronazzo, Natalia, Gonza, Lucas, Gutierrez, Miguel Angel Guzzo, Victor, Hasbani, Melina, Huerin, Victor, Jäger, Julio Manuel Lewkowicz, Maria Nieves, A López De Munaín, Jose Maria Lotti, Alejandra, Marquez, Osvaldo, Masoli, Osvaldo Horacio Masoli, Edgardo, Mastrovito, Matias, Mayoraz, Graciela Eva Melado, Anibal, Mele, Maria Fernanda Merani, Alejandro Horacio Meretta, Susana, Molteni, Marcos, Montecinos, Eduardo, Noguera, Carlos, Novoa, Claudio Pereyra Sueldo, Sebastian Perez Ascani, Pablo, Pollono, Maria Paula Pujol, Alejandro, Radzinschi, Gustavo, Raimondi, Marcela, Redruello, Marina, Rodríguez, Matías, Rodríguez, Romina Lorena Romero, Arturo Romero Acuña, Federico, Rovaletti, Lucas San Miguel, Lucrecia, Solari, Bruno, Strada, Sonia, Traverso, Sonia Simona Traverzo, Maria del Huerto Velazquez Espeche, Juan Sebastian Weihmuller, Juan, Wolcan, Susana Zeffiro Armenia: Mari Sakanyan Australia: Scott Beuzeville, Raef, Boktor, Patrick, Butler, Jennifer, Calcott, Loretta, Carr, Virgil, Chan, Charles, Chao, Woon, Chong, Mark, Dobson, D'Arne, Downie, Girish, Dwivedi, Barry, Elison, Jean, Engela, Roslyn, Francis, Anand, Gaikwad, Ashok Gangasandra Basavaraj, Bruce, Goodwin, Robert, Greenough, Christian, Hamilton-Craig, Victar, Hsieh, Subodh, Joshi, Karin, Lederer, Kenneth, Lee, Joseph, Lee, John, Magnussen, Nghi, Mai, Gordon, Mander, Fiona, Murton, Dee, Nandurkar, Johanne, Neill, Edward, O'Rourke, Patricia, O'Sullivan, George, Pandos, Kunthi, Pathmaraj, Alexander, Pitman, Rohan, Poulter, Manuja, Premaratne, David, Prior, Lloyd, Ridley, Natalie, Rutherford, Hamid, Salehi, Connor, Saunders, Luke, Scarlett, Sujith, Seneviratne, Deepa, Shetty, Ganesh, Shrestha, Jonathan, Shulman, Vijay, Solanki, Tony, Stanton, Murch, Stuart, Michael, Stubbs, Ian, Swainson, Kim, Taubman, Andrew, Taylor, Paul, Thomas, Steven, Unger, Anthony, Upton, Shankar, Vamadevan, William Van Gaal, Johan, Verjans, Demetrius, Voutnis, Victor, Wayne, Peter, Wilson, David, Wong, Kirby, Wong, John Younger Austria: Gudrun Feuchtner, Siroos, Mirzaei, Konrad Weiss Belarus: Natallia Maroz-Vadalazhskaya Belgium: Olivier Gheysens, Filip, Homans, Rodrigo, Moreno-Reyes, Agnès, Pasquet, Veronique, Roelants, Van De Heyning Bolivia: Raúl Araujo Ríos Bosnia - Herzegovina: Valentina Soldat-Stankovic, Caroline M., Sinisa Stankovic Brazil: Maria Helena Albernaz Siqueira, Augusto, Almeida, Paulo Henrique Alves Togni, Jose Henrique Andrade, Luciana, Andrade, Carlos, Anselmi, Roberta, Araújo, Guilherme, Azevedo, Sabbrina, Bezerra, Rodrigo, Biancardi, Gabriel Blacher Grossman, Simone, Brandão, Diego Bromfman Pianta, Lara, Carreira, Bruno, Castro, Tien, Chang, Fernando Cunali, Jr., Roberto, Cury, Roberto, Dantas, Fernando de Amorim Fernandes, Andrea De Lorenzo, Robson De Macedo Filho, Fernanda, Erthal, Fabio, Fernandes, Juliano, Fernandes, Thiago Ferreira De Souza, Wilson Furlan Alves, Bruno, Ghini, Luiz, Goncalves, Ilan, Gottlieb, Marcelo, Hadlich, Vinícius, Kameoka, Ronaldo, Lima, Adna, Lima, Rafael Willain Lopes, Ricardo Machado, e Silva, Tiago, Magalhães, Fábio Martins Silva, Luiz Eduardo Mastrocola, Fábio, Medeiros, José Claudio Meneghetti, Vania, Naue, Danilo, Naves, Roberto, Nolasco, Cesar, Nomura, Joao Bruno Oliveira, Eduardo, Paixao, Filipe Penna De Carvalho, Ibraim, Pinto, Priscila, Possetti, Mayra, Quinta, Rodrigo Rizzo Nogueira Ramos, Ricardo, Rocha, Alfredo, Rodrigues, Carlos, Rodrigues, Leila, Romantini, Adelina, Sanches, Sara, Santana, Leonardo Sara da Silva, Paulo, Schvartzman, Cristina Sebastião Matushita, Tiago, Senra, Afonso, Shiozaki, Maria Eduarda Menezes de Siqueira, Cristiano, Siqueira, Paola, Smanio, Carlos Eduardo Soares, José Soares Junior, Marcio Sommer Bittencourt, Bernardo, Spiro, Cláudio Tinoco Mesquita, Jorge, Torreao, Rafael, Torres, Marly, Uellendahl, Guilherme Urpia Monte, Otávia, Veríssimo, Estevan Vieira Cabeda, Felipe Villela Pedras, Roberto, Waltrick, Marcello Zapparoli Brunei Darussalam: Hamid Naseer Bulgaria: Marina Garcheva-Tsacheva, Irena Kostadinova Cambodia: Youdaline Theng Canada: Gad Abikhzer, Rene, Barette, Benjamin, Chow, Dominique, Dabreo, Matthias, Friedrich, Ria, Garg, Mohammed Nassoh Hafez, Chris, Johnson, Marla, Kiess, Jonathon, Leipsic, Eugene, Leung, Robert, Miller, Anastasia, Oikonomou, Stephan, Probst, Idan, Roifman, Gary, Small, Vikas, Tandon, Adwait, Trivedi, James, White, Katherine Zukotynski Chile: Jose Canessa, Gabriel Castro Muñoz, Carmen, Concha, Pablo, Hidalgo, Cesar, Lovera, Teresa, Massardo, Luis Salazar Vargas Colombia: Pedro Abad, Harold, Arturo, Sandra, Ayala, Luis, Benitez, Alberto, Cadena, Carlos, Caicedo, Antonio Calderón Moncayo, Sharon, Gomez, Gutierrez Villamil, Claudia T., Claudia, Jaimes, Juan, Londoño, Juan Luis Londoño Blair, Luz, Pabon, Mauricio, Pineda, Juan Carlos Rojas, Diego, Ruiz, Manuel Valencia Escobar, Andres, Vasquez, Damiana, Vergel, Alejandro Zuluaga Costa Rica: Isabel Berrocal Gamboa, Gabriel, Castro, Ulises, González, Croatia: Ana Baric, Tonci, Batinic, Maja, Franceschi, Maja Hrabak Paar, Mladen, Jukic, Petar, Medakovic, Viktor, Persic, Marina, Prpic, Ante Punda Cuba: Juan Felipe Batista, Juan Manuel Gómez Lauchy, Yamile Marcos Gutierrez, Rayner, Menéndez, Amalia, Peix, Luis Rochela Cyprus: Christoforos Panagidis, Ioannis Petrou Czech Republic: Vaclav Engelmann, Milan, Kaminek, Vladimír, Kincl, Otto, Lang, Milan Simanek Denmark: Jawdat Abdulla, Morten, Bøttcher, Mette, Christensen, Lars Christian Gormsen, Philip, Hasbak, Søren, Hess, Paw, Holdgaard, Allan, Johansen, Kasper, Kyhl, Bjarne Linde Norgaard, Kristian Altern Øvrehus, Niels Peter Rønnow Sand, Rolf, Steffensen, Anders, Thomassen, Bo Zerahn Dominican Republic: Alfredo Perez Ecuador: Giovanni Alejandro Escorza Velez, Mayra Sanchez Velez Egypt: Islam Shawky Abdel Aziz, Mahasen, Abougabal, Taghreed, Ahmed, Adel, Allam, Ahmed, Asfour, Mona, Hassan, Alia, Hassan, Ahmed, Ibrahim, Sameh, Kaffas, Ahmed, Kandeel, Mohamed Mandour Ali, Ahmad, Mansy, Hany, Maurice, Sherif, Nabil, Mahmoud Shaaban El Salvador: Ana Camila Flores Estonia: Anne Poksi Finland: Juhani Knuuti, Velipekka, Kokkonen, Martti, Larikka, Valtteri Uusitalo France: Matthieu Bailly, Samuel, Burg, Jean-François, Deux, Vincent, Habouzit, Fabien, Hyafil, Olivier, Lairez, Franck, Proffit, Hamza, Regaieg, Laure, Sarda-Mantel, Schneider Ghana: Harold Ayetey Greece: George Angelidis, Vania Tacher Germany: Roman P., Aikaterini, Archontaki, Sofia, Chatziioannou, Ioannis, Datseris, Christina, Fragkaki, Panagiotis, Georgoulias, Sophia, Koukouraki, Maria, Koutelou, Eleni, Kyrozi, Evangelos, Repasos, Petros, Stavrou, Pipitsa Valsamaki Guatemala: Carla Gonzalez, Goleat Gutierrez Honduras: Alejandro Maldonado Hungary: Klara Buga, Ildiko, Garai, Pál, Maurovich-Horvat, Erzsébet, Schmidt, Balint, Szilveszter, Edit Várady India: Nilesh Banthia, Jinendra Kumar Bhagat, Rishi, Bhargava, Vivek, Bhat, Mona, Bhatia, Partha, Choudhury, Vijay Sai Chowdekar, Aparna, Irodi, Shashank, Jain, Elizabeth, Joseph, Sukriti, Kumar, Prof Dr Girijanandan Mahapatra, Deepanjan, Mitra, Bhagwant Rai Mittal, Ahmad, Ozair, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Patel, Sudhir, Saxena, Shantanu, Sengupta, Santosh, Singh, Bhanupriya, Singh, Ashwani, Sood, Atul Verma Indonesia: Erwin Affandi, Padma Savenadia Alam, Edison, Edison, Gani, Gunawan, Habusari, Hapkido, Basuki, Hidayat, Aulia, Huda, Anggoro Praja Mukti, Djoko, Prawiro, Erwin Affandi Soeriadi, Hilman Syawaluddin Iraq: Amjed Albadr Islamic Republic of Iran: Majid Assadi, Farshad, Emami, Golnaz, Houshmand, Majid, Maleki, Maryam Tajik Rostami, Seyed Rasoul Zakavi Israel: Eed Abu Zaid, Svetlana, Agranovich, Yoav, Arnson, Rachel, Bar-Shalom, Alex, Frenkel, Galit, Knafo, Rachel, Lugassi, Israel Shlomo Maor Moalem, Maya, Mor, Noam, Muskal, Sara, Ranser, Aryeh Shalev Jamaica: Dainia Baugh, Duane, Chambers, Ernest, Madu, Felix Nunura Japan: Hiroshi Asano, Chimura Misato Chimura, Shinichiro, Fujimoto, Koichiro, Fujisue, Tomohisa, Fukunaga, Yoshimitsu, Fukushima, Kae, Fukuyama, Jun, Hashimoto, Yasutaka, Ichikawa, Nobuo, Iguchi, Masamichi, Imai, Anri, Inaki, Hayato, Ishimura, Satoshi, Isobe, Toshiaki, Kadokami, Takao, Kato, Takashi, Kudo, Shinichiro, Kumita, Hirotaka, Maruno, Hiroyuki, Mataki, Masao, Miyagawa, Ryota, Morimoto, Masao, Moroi, Shigeki, Nagamachi, Kenichi, Nakajima, Tomoaki, Nakata, Ryo, Nakazato, Mamoru, Nanasato, Masanao, Naya, Takashi, Norikane, Yasutoshi, Ohta, Satoshi, Okayama, Atsutaka, Okizaki, Yoichi, Otomi, Hideki, Otsuka, Masaki, Saito, Sakata Yasushi Sakata, Masayoshi, Sarai, Daisuke, Sato, Shinya, Shiraishi, Yoshinobu, Suwa, Kentaro, Takanami, Kazuya, Takehana, Junichi, Taki, Nagara, Tamaki, Yasuyo, Taniguchi, Hiroki, Teragawa, Nobuo, Tomizawa, Kenichi, Tsujita, Kyoko, Umeji, Yasushi, Wakabayashi, Shinichiro, Yamada, Shinya, Yamazaki, Tatsuya Yoneyama Jordan: Mohammad Rawashdeh Kazakhstan: Daultai Batyrkhanov, Tairkhan Dautov Kenya: Khalid Makhdomi, Kevin Ombati Kuwait: Faridah Alkandari, Masoud Garashi Lao People's Democratic Republic: Tchoyoson Lim Coie, Sonexay Rajvong Latvia: Artem Kalinin, Marika Kalnina Lebanon: Mohamad Haidar Lithuania: Renata Komiagiene, Giedre, Kviecinskiene, Mindaugas, Mataciunas, Karim Malta: Luise Reichmuth, Donatas Vajauskas Luxembourg: Christian Picard Malaysia: Noor Khairiah A., Anthony Samuel Mauritius: Mohammad Aaftaab Allarakha, Ambedhkar Shantaram Naojee Mexico: Erick Alexanderson-Rosas, Erika, Barragan, Alejandro Becerril González-Montecinos, Manuel, Cabada, Daniel Calderon Rodriguez, Isabel, Carvajal-Juarez, Violeta, Cortés, Filiberto, Cortés, Erasmo De La Peña, Manlio, Gama-Moreno, Luis, González, Nelsy Gonzalez Ramírez, Moisés, Jiménez-Santos, Luis, Matos, Edgar, Monroy, Martha, Morelos, Mario, Ornelas, Jose Alberto Ortga Ramirez, Andrés, Preciado-Anaya, Óscar Ulises Preciado-Gutiérrez, Adriana Puente Barragan, Sandra Graciela Rosales Uvera, Sigelinda, Sandoval, Miguel Santaularia Tomas, Sierra-Galan, Lilia M., Silvia, Siu, Enrique, Vallejo, Mario Valles Monaco: Marc Faraggi Mongolia: Erdenechimeg Sereegotov Montenegro: Srdja Ilic Morocco: Nozha Ben-Rais, Nadia Ismaili Alaoui, Sara Taleb Myanmar: Khin Pa Pa Myo, Phyo Si Thu Nepal: Ram Kumar Ghimire, Bijoy Rajbanshi Netherlands: Peter Barneveld, Andor, Glaudemans, Jesse, Habets, Klaas Pieter Koopmans, Jeroen, Manders, Stefan, Pool, Arthur, Scholte, Asbjørn, Scholtens, Riemer, Slart, Paul, Thimister, Erik-Jan Van Asperen, Niels, Veltman, Derk, Verschure, Nils Wagenaar New Zealand: John Edmond, Chris, Ellis, Kerryanne, Johnson, Ross, Keenan, Shaw Hua (Anthony) Kueh, Christopher, Occleshaw, Alexander, Sasse, Andrew, To, Niels Van Pelt, Calum Young Nicaragua: Teresa Cuadra, Hector Bladimir Roque Vanegas Niger: Idrissa Adamou Soli, Djibrillou Moussa Issoufou Nigeria: Tolulope Ayodele, Chibuzo, Madu, Yetunde Onimode Norway: Elen Efros-Monsen, Signe Helene Forsdahl, Jenni-Mari Hildre Dimmen, Arve, Jørgensen, Isabel, Krohn, Pål, Løvhaugen, Anders Tjellaug Bråten Oman: Humoud Al Dhuhli, Faiza Al Kindi, Naeema, Al-Bulushi, Zabah, Jawa, Naima Tag Pakistan: Muhammad Shehzad Afzal, Shazia, Fatima, Muhammad Numair Younis, Musab, Riaz, Mohammad Saadullah Panama: Yariela Herrera Papua New Guinea: Dora Lenturut-Katal Paraguay: Manuel Castillo Vázquez, José Ortellado People's Republic of Bangladesh: Afroza Akhter People's Republic of China: Dianbo Cao, Stephen, Cheung, Dai, Xu, Lianggeng, Gong, Dan, Han, Yang, Hou, Caiying, Li, Tao, Li, Dong, Li, Sijin, Li, Jinkang, Liu, Hui, Liu, Bin, Lu, Ming Yen Ng, Kai, Sun, Gongshun, Tang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wang, Jiang, Wu, Zhifang, Wu, Liming, Xia, Jiangxi, Xiao, Lei, Xu, Youyou, Yang, Yin, Wu, Jianqun, Yu, Yuan, Li, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhang, Li Zhu Peru: Ana Alfaro Philippines: Paz Abrihan, Asela, Barroso, Eric, Cruz, Marie Rhiamar Gomez, Vincent Peter Magboo, John Michael Medina, Jerry, Obaldo, Davidson, Pastrana, Christian Michael Pawhay, Alvin, Quinon, Jeanelle Margareth Tang, Bettina, Tecson, Kristine Joy Uson, Mila Uy Poland: Magdalena Kostkiewicz, Jolanta Kunikowska Portugal: Nuno Bettencourt, Guilhermina, Cantinho, Antonio Ferreira Qatar: Ghulam Syed Republic of Ireland: Samer Arnous, Said, Atyani, Angela, Byrne, Tadhg, Gleeson, David, Kerins, Conor, Meehan, David, Murphy, Mark, Murphy, John, Murray, Julie O'Brien Republic of Korea: Ji-In Bang, Henry, Bom, Sang-Geon, Cho, Chae Moon Hong, Su Jin Jang, Yong Hyu Jeong, Won Jun Kang, Ji-Young, Kim, Jaetae, Lee, Chang Kyeong Namgung, Young, So, Kyoung Sook Won Republic of North Macedonia: Venjamin Majstorov, Marija Vavlukis Republic of Slovenia: Barbara Gužic Salobir, Monika Štalc Romania: Theodora Benedek, Imre, Benedek, Raluca, Mititelu, Claudiu Adrian Stan Russian Federation: Alexey Ansheles, Olga, Dariy, Olga, Drozdova, Nina, Gagarina, Vsevolod Milyevich Gulyaev, Irina, Itskovich, Anatoly, Karalkin, Alexander, Kokov, Ekaterina, Migunova, Viktor, Pospelov, Daria, Ryzhkova, Guzaliya, Saifullina, Svetlana, Sazonova, Vladimir, Sergienko, Irina, Shurupova, Tatjana, Trifonova, Wladimir Yurievich Ussov, Margarita, Vakhromeeva, Nailya, Valiullina, Konstantin, Zavadovsky, Kirill Zhuravlev Saudi Arabia: Mirvat Alasnag, Subhani Okarvi Serbia: Dragana Sobic Saranovic Singapore: Felix Keng, Jia Hao Jason See, Ramkumar, Sekar, Min Sen Yew Slovak Republic: Andrej Vondrak South Africa: Shereen Bejai, George, Bennie, Ria, Bester, Gerrit, Engelbrecht, Osayande, Evbuomwan, Harlem, Gongxeka, Magritha Jv Vuuren, Mitchell, Kaplan, Purbhoo, Khushica, Hoosen, Lakhi, Lizette, Louw, Nico, Malan, Katarina, Milos, Moshe, Modiselle, Stuart, More, Mathava, Naidoo, Leonie, Scholtz, Mboyo Vangu Spain: Santiago Aguadé-Bruix, Isabel, Blanco, Antonio, Cabrera, Alicia, Camarero, Irene, Casáns-Tormo, Hug, Cuellar-Calabria, Albert, Flotats, Maria Eugenia Fuentes Cañamero, María Elia García, Amelia, Jimenez-Heffernan, Rubén, Leta, Javier Lopez Diaz, Luis, Lumbreras, Juan Javier Marquez-Cabeza, Francisco, Martin, Anxo Martinez de Alegria, Francisco, Medina, Maria Pedrera Canal, Virginia, Peiro, Virginia, Pubul-Nuñez, Juan Ignacio Rayo Madrid, Cristina Rodríguez Rey, Ricardo Ruano Perez, Joaquín, Ruiz, Gertrudis Sabatel Hernández, Ana, Sevilla, Nahla Zeidán Sri Lanka: Damayanthi Nanayakkara, Chandraguptha Udugama Sweden: Magnus Simonsson Switzerland: Hatem Alkadhi, Ronny Ralf Buechel, Peter, Burger, Luca, Ceriani, Bart De Boeck, Christoph, Gräni, Alix Juillet de Saint Lager Lucas, Kamani, Christel H., Nadine, Kawel-Boehm, Robert, Manka, Prior, John O., Axel, Rominger, Jean-Paul Vallée Thailand: Benjapa Khiewvan, Teerapon, Premprabha, Tanyaluck Thientunyakit Tunisia: Ali Sellem Turkey: Kemal Metin Kir, Haluk Sayman Uganda: Mugisha Julius Sebikali, Zerida Muyinda Ukraine: Yaroslav Kmetyuk, Pavlo, Korol, Olena, Mykhalchenko, Volodymyr, Pliatsek, Maryna Satyr United Arab Emirates: Batool Albalooshi, Mohamed Ismail Ahmed Hassan United Kingdom: Jill Anderson, Punit, Bedi, Thomas, Biggans, Anda, Bularga, Russell, Bull, Rajesh, Burgul, John-Paul, Carpenter, Duncan, Coles, David, Cusack, Aparna, Deshpande, John, Dougan, Timothy, Fairbairn, Alexia, Farrugia, Deepa, Gopalan, Alistair, Gummow, Prasad Guntur Ramkumar, Mark, Hamilton, Mark, Harbinson, Thomas, Hartley, Benjamin, Hudson, Nikhil, Joshi, Michael, Kay, Andrew, Kelion, Azhar, Khokhar, Jamie, Kitt, Ken, Lee, Chen, Low, Sze Mun Mak, Ntouskou, Marousa, Jon, Martin, Elisa, Mcalindon, Leon, Menezes, Gareth, Morgan-Hughes, Alastair, Moss, Anthony, Murray, Edward, Nicol, Dilip, Patel, Charles, Peebles, Francesca, Pugliese, Jonathan Carl Luis Rodrigues, Christopher, Rofe, Nikant, Sabharwal, Rebecca, Schofield, Thomas, Semple, Naveen, Sharma, Peter, Strouhal, Deepak, Subedi, William, Topping, Katharine, Tweed, Jonathan Weir-Mccall United States of America: Suhny Abbara, Taimur, Abbasi, Brian, Abbott, Shady, Abohashem, Sandra, Abramson, Tarek, Al-Abboud, Mouaz, Al-Mallah, Omar, Almousalli, Karthikeyan, Ananthasubramaniam, Mohan Ashok Kumar, Jeffrey, Askew, Lea, Attanasio, Mallory, Balmer-Swain, Bayer, Richard R., Adam, Bernheim, Sabha, Bhatti, Erik, Bieging, Ron, Blankstein, Stephen, Bloom, Sean, Blue, David, Bluemke, Andressa, Borges, Kelley, Branch, Paco, Bravo, Jessica, Brothers, Matthew, Budoff, Renée, Bullock-Palmer, Angela, Burandt, Burke, Floyd W., Kelvin, Bush, Candace, Candela, Elizabeth, Capasso, Joao, Cavalcante, Donald, Chang, Saurav, Chatterjee, Yiannis, Chatzizisis, Michael, Cheezum, Tiffany, Chen, Jennifer, Chen, Marcus, Chen, Andrew, Choi, James, Clarcq, Ayreen, Cordero, Matthew, Crim, Sorin, Danciu, Bruce, Decter, Nimish, Dhruva, Neil, Doherty, Rami, Doukky, Anjori, Dunbar, William, Duvall, Rachael, Edwards, Kerry, Esquitin, Husam, Farah, Emilio, Fentanes, Maros, Ferencik, Daniel, Fisher, Daniel, Fitzpatrick, Cameron, Foster, Tony, Fuisz, Michael, Gannon, Lori, Gastner, Myron, Gerson, Brian, Ghoshhajra, Alan, Goldberg, Brian, Goldner, Jorge, Gonzalez, Rosco, Gore, Sandra, Gracia-López, Fadi, Hage, Agha, Haider, Sofia, Haider, Yasmin, Hamirani, Karen, Hassen, Mallory, Hatfield, Carolyn, Hawkins, Katie, Hawthorne, Nicholas, Heath, Robert, Hendel, Phillip, Hernandez, Gregory, Hill, Stephen, Horgan, Jeff, Huffman, Lynne, Hurwitz, Ami, Iskandrian, Rajesh, Janardhanan, Christine, Jellis, Scott, Jerome, Dinesh, Kalra, Summanther, Kaviratne, Fernando, Kay, Faith, Kelly, Omar, Khalique, Mona, Kinkhabwala, George Kinzfogl Iii, Jacqueline, Kircher, Rachael, Kirkbride, Michael, Kontos, Anupama, Kottam, Joseph, Krepp, Jay, Layer, Steven, H Lee, Jeffrey, Leppo, John, Lesser, Steve, Leung, Howard, Lewin, Diana, Litmanovich, Yiyan, Liu, Juan, Lopez-Mattei, Kathleen, Magurany, Jeremy, Markowitz, Amanda, Marn, Stephen, E Matis, Michael, Mckenna, Tony, Mcrae, Fernando, Mendoza, Michael, Merhige, David, Min, Chanan, Moffitt, Karen, Moncher, Warren, Moore, Shamil, Morayati, Michael, Morris, Mahmud, Mossa-Basha, Zorana, Mrsic, Venkatesh, Murthy, Prashant, Nagpal, Kyle, Napier, Jagat, Narula, Katarina, Nelson, Prabhjot, Nijjar, Medhat, Osman, Purvi, Parwani, Edward, Passen, Amit, Patel, Pravin, Patil, Ryan, Paul, Lawrence, Phillips, Venkateshwar, Polsani, Rajaram, Poludasu, Brian, Pomerantz, Thomas, Porter, Ryan, Prentice, Amit, Pursnani, Mark, Rabbat, Suresh, Ramamurti, Florence, Rich, Hiram Rivera Luna, Austin, Robinson, Kim, Robles, Cesar, Rodríguez, Mark, Rorie, John, Rumberger, Raymond, Russell, Philip, Sabra, Diego, Sadler, Mary, Schemmer, Joseph Schoepf, U., Samir, Shah, Nishant, Shah, Sujata, Shanbhag, Gaurav, Sharma, Steven, Shayani, Jamshid, Shirani, Pushpa, Shivaram, Steven, Sigman, Mitch, Simon, Ahmad, Slim, David, Smith, Alexandra, Smith, Prem, Soman, Aditya, Sood, Monvadi Barbara Srichai-Parsia, James, Streeter, Albert, T, Ahmed, Tawakol, Dustin, Thomas, Randall, Thompson, Tara, Torbet, Desiree, Trinidad, Shawn, Ullery, Samuel, Unzek, Seth, Uretsky, Srikanth, Vallurupalli, Vikas, Verma, Alfonso, Waller, Ellen, Wang, Parker, Ward, Gaby, Weissman, George, Wesbey, Kelly, White, David, Winchester, David, Wolinsky, Sandra, Yost, Michael Zgaljardic Uruguay: Omar Alonso, Mario, Beretta, Rodolfo, Ferrando, Miguel, Kapitan, Fernando Mut Uzbekistan: Omoa Djuraev, Gulnora Rozikhodjaeva Vietnam: Ha Le Ngoc, Son Hong Mai, and Xuan Canh Nguyen

Subjects
medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Cardiology, Settore MED/11 - Malattie dell'Apparato Cardiovascolare, COVID-19, Cardiac imaging, Cardiovascular disease, Article, cardiac imaging, Healthcare delivery, cardiovascular disease, Intensive care, Surveys and Questionnaires, Health care, Pandemic, medicine, Humans, Pandemics, Protocol (science), business.industry, SARS-CoV-2, Non invasive, Italy, humans, pandemics, surveys and questionnaires, cardiology, Emergency medicine, Cardiology and Cardiovascular Medicine, business
Abstract

Background: In early 2020, COVID-19 massively hit Italy, earlier and harder than any other European country. This caused a series of strict containment measures, aimed at blocking the spread of the pandemic. Healthcare delivery was also affected when resources were diverted towards care of COVID-19 patients, including intensive care wards. Aim of the study: The aim is assessing the impact of COVID-19 on cardiac imaging in Italy, compare to the Rest of Europe (RoE) and the World (RoW). Methods: A global survey was conducted in May–June 2020 worldwide, through a questionnaire distributed online. The survey covered three periods: March and April 2020, and March 2019. Data from 52 Italian centres, a subset of the 909 participating centres from 108 countries, were analyzed. Results: In Italy, volumes decreased by 67% in March 2020, compared to March 2019, as opposed to a significantly lower decrease (p < 0.001) in RoE and RoW (41% and 40%, respectively). A further decrease from March 2020 to April 2020 summed up to 76% for the North, 77% for the Centre and 86% for the South. When compared to the RoE and RoW, this further decrease from March 2020 to April 2020 in Italy was significantly less (p = 0.005), most likely reflecting the earlier effects of the containment measures in Italy, taken earlier than anywhere else in the West. Conclusions: The COVID-19 pandemic massively hit Italy and caused a disruption of healthcare services, including cardiac imaging studies. This raises concern about the medium- and long-term consequences for the high number of patients who were denied timely diagnoses and the subsequent lifesaving therapies and procedures.

Published
2021
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21. Erratum to 'A systematic review of in-hospital worsening heart failure as an endpoint in clinical investigations of therapy for acute heart failure' [Int. J. Cardiol. 250 (2018) 215–222]

Author

Filipa Marques, Ronald B. Langdon, Paulo Bettencourt, Cândida Fonseca, Aldo P. Maggioni, Inês Araújo, Carlo Lombardi, and Daniel Brás

Subjects
medicine.medical_specialty, business.industry, Internal medicine, Heart failure, Published Erratum, medicine, Cardiology, MEDLINE, Cardiology and Cardiovascular Medicine, medicine.disease, business
Published
2018
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23. Systolic function recovery in Heart Failure: Frequency, prognostic impact and predictors

Author

Paulo Bettencourt, Inês Ferreira, Joana Pereira, Clara Gomes, Verónica Guiomar, Sofia Tavares, Inês Albuquerque, Ana Raquel Monteiro, Vanessa Chaves, and Patrícia Lourenço

Subjects
Male, medicine.medical_specialty, Systole, Diastole, Systolic function, 030204 cardiovascular system & hematology, Lower risk, Logistic regression, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Medicine, Humans, 030212 general & internal medicine, Aged, Retrospective Studies, Aged, 80 and over, Heart Failure, Ejection fraction, business.industry, Recovery of Function, Middle Aged, medicine.disease, Prognosis, Comorbidity, Echocardiography, Heart failure, Etiology, Cardiology, Female, Cardiology and Cardiovascular Medicine, business, Follow-Up Studies
Abstract

Background Systolic function recovery in patients with Heart failure (HF) with reduced ejection fraction (EF) is well recognized but not completely understood. We aimed to characterize HF patients with systolic function recovery, its prognostic impact and predictors. Methods We analysed patients followed in a HF clinic (2006–2015) with 2 echocardiograms performed. Partial recovery: EF recovery without attaining EF ≥ 50%; total recovery: patients reached EF ≥ 50%. Median follow-up from first echocardiogram: 69 months. Multivariate logistic regression models to determine recovery predictors. Results We analysed 304 patients with at least mild left ventricular dysfunction. During a median 34 months between echocardiogram re-evaluation 150 (49.3%) patients showed no EF recovery; 55 (18.1%) had partial recovery and 99 (32.6%) totally recovered. Mean patients age: 66; 71.1% men, high comorbidity burden; ischemic HF: 35.5%. Non-recovered patients were mostly men (80.7% vs 61.8% in partially; 61.6% in fully-recovered) with ischemic HF (46.0% vs 32.5% in partially; 21.2% in fully-recovered). Comorbidity burden, NYHA class and therapy were similar. During follow-up, 156 patients (46.7%) died. Patients with total recovery had a multivariate-adjusted 54% lower risk of dying when compared to non-recovered. Partially-recovered patients showed a non-significant adjusted 8% mortality reduction. Independent predictors of systolic function recovery were female gender(OR: 2.17, 95% CI 1.11–4.35), non-ischemic aetiology (OR: 2.78, 95% CI 1.35–5.56), and end diastolic left ventricular diameter Conclusions HF-recovered patients were mainly women with non-ischemic HF and smaller left ventricles. These patients had significantly better prognosis than those with persistently reduced EF.

Published
2019

25. Gender differences in the association of epicardial adipose tissue and coronary artery calcification: EPICHEART study: EAT and coronary calcification by gender

Author

Jennifer, Mancio, Marilia, Pinheiro, Wilson, Ferreira, Monica, Carvalho, Antonio, Barros, Nuno, Ferreira, Luis, Vouga, Vasco Gama, Ribeiro, Adelino, Leite-Moreira, Ines, Falcao-Pires, and Nuno, Bettencourt

Subjects
Aged, 80 and over, Male, Sex Characteristics, Calcinosis, Aortic Valve Stenosis, Coronary Artery Disease, Middle Aged, Cohort Studies, Adipose Tissue, Aortic Valve, Body Composition, Humans, Female, Prospective Studies, Vascular Calcification, Pericardium, Aged
Abstract

The association of epicardial adipose tissue (EAT) and coronary artery calcification (CAC) seems to differ by gender. However, few studies have controlled for body size, and the ideal method for body size indexing has not been explored.To analyse the effect of gender related-body size and-body fat differences on the association of EAT with CAC.This was a prospective cohort of 371 severe aortic stenosis patients (77±8.5year-old, 51% females) referred to cardiac surgery. Agatston calcium score, EAT volume and visceral abdominal fat (VAF) were obtained by computed tomography. Body composition was determined using bioelectrical impedance analysis. Body weight and height were measured to derive body mass index (BMI), body surface area (BSA), and body surface index (BSI). EAT volume was normalized for BSA, weight and height.Median CAC score was higher in men (887; IQR: 2010) than in women (279: IQR: 145) (p0.01). Similarly, men had higher volume of EAT than women (137±65.6 vs. 106±65.6mL, p0.01), even when BSA- or height-indexed, but not if weight-indexed. EAT volume was associated with CAC adjusting for adiposity (BMI or BSI and VAF, or fat mass), but not with further adjustment for gender. In a stratified analysis, absolute- and indexed-volumes of EAT were independently associated with CAC in men while no association was found in women (gender-interaction p0.05).In these high-risk patients, we demonstrated that EAT was associated with CAC score irrespective of body size, body fat and cardiovascular risk factors in men but not in women.

Published
2017

29. Dipeptidyl peptidase-IV in chronic heart failure with reduced ejection fraction

Author

Patrícia Lourenço, Paulo Bettencourt, Ana R. Ribeiro, Nuno Silva, João Tiago Guimarães, Joana Pereira, Filipe M Cunha, Sérgio Silva, and José Paulo Araújo

Subjects
medicine.medical_specialty, animal structures, medicine.medical_treatment, Dipeptidyl Peptidase 4, 030204 cardiovascular system & hematology, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Medicine, Humans, 030212 general & internal medicine, Renal replacement therapy, Prospective Studies, Prospective cohort study, Dipeptidyl peptidase-4, Aged, Aged, 80 and over, Heart Failure, Ejection fraction, business.industry, Proportional hazards model, Stroke Volume, Stroke volume, Middle Aged, medicine.disease, Surgery, Quartile, Heart failure, Cardiology and Cardiovascular Medicine, business, Biomarkers, Follow-Up Studies
Abstract

Background An association between dipeptidyl peptidase-IV (DPP-IV) inhibitors with worse prognosis in HF has been suggested. We aimed to assess the serum DPP-IV levels in chronic stable HF patients and determine their association with prognosis. Methods and results Chronic stable HF patients with optimized prognostic-modifying therapy were prospectively recruited. Exclusion criteria: 1) ejection fraction>50%, 2) hospitalizations or therapeutic adjustments in the previous 2months; 3) patients on renal replacement therapy, and 4) use of DPP-IV inhibitors. A fasting venous blood sample was collected and DPP-IV was measured. Patients were followed-up for 3years and the endpoint studied was all-cause death. Patients' characteristics were compared according to DPP-IV quartiles. A Cox regression analysis was performed and multivariate models were built. The 3rd DPP-IV quartile was the reference category. We studied 264 patients. Mean age: 69 (±13)years, 70.5% were male and 33.7% diabetic. Median (IQR) serum DPP-IV levels were 455.6 (350.0–625.5)ng/mL. DPP-IV had an inverse relationship with age. Patients in 3rd DPP-IV quartile were in lower NYHA classes and had the lowest 3years all-cause mortality. Patients in the 1st DPP-IV quartile had a multivariate adjusted HR of 3-year mortality of 2.62 (95%CI: 1.15–5.95) when compared with reference category and the HR for the 4th quartile was of 3.79 (95%CI: 1.68–8.54). Conclusions There is a U-shaped association of serum DPP-IV with mortality in chronic systolic HF patients. Patients in the 3rd DPP-IV quartile have the best multivariate adjusted 3-year survival. DPP-IV inhibition might be harmful in patients with low DPP-IV.

Published
2016

31. Measuring renal function in acute heart failure: A place for old and new equations

Author

Pedro Bernardo Almeida, Margarida Alvelos, João Tiago Guimarães, Olga Laszczyńska, Marta Couto, Paulo Bettencourt, and Ana Azevedo

Subjects
Male, medicine.medical_specialty, Urology, Renal function, Kidney, Kidney Function Tests, chemistry.chemical_compound, Medicine, Humans, Prospective Studies, Cystatin C, Prospective cohort study, Aged, Heart Failure, Creatinine, biology, business.industry, medicine.disease, medicine.anatomical_structure, chemistry, Heart failure, biology.protein, Female, Cardiology and Cardiovascular Medicine, business, Glomerular Filtration Rate
Published
2015

32. Does pre-albumin predict in-hospital mortality in heart failure?

Author

Fernando Friões, Paulo Torres-Ramalho, Patrícia Lourenço, Marta Amorim, Sérgio Silva, João Tiago Guimarães, Maria José Teles, Margarida Alvelos, and Paulo Bettencourt

Subjects
Adult, Male, medicine.medical_specialty, Heart disease, Pre albumin, Young Adult, Predictive Value of Tests, Epidemiology, medicine, Humans, Prealbumin, Hospital Mortality, Intensive care medicine, Aged, Aged, 80 and over, Heart Failure, In hospital mortality, business.industry, Public health, Middle Aged, medicine.disease, Predictive factor, Heart failure, Emergency medicine, Female, Cardiology and Cardiovascular Medicine, business, Biomarkers
Abstract

Does pre-albumin predict in-hospital mortality in heart failure?☆ Patricia Lourenco ⁎, Sergio Silva , Fernando Frioes , Margarida Alvelos , Marta Amorim , Paulo Torres-Ramalho , Maria Jose Teles , Joao Tiago Guimaraes , Paulo Bettencourt a a Servico de Medicina Interna, Centro Hospitalar Sao Joao, Faculdade de Medicina da Universidade do Porto, Unidade I&D Cardiovascular do Porto, Portugal b Servico de Patologia Clinica, Centro Hospitalar Sao Joao, Faculdade de Medicina da Universidade do Porto, Portugal c Departamento de Bioquimica, Faculdade de Medicina da Universidade do Porto, Portugal

Published
2013
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34. Influence of socioeconomic status on therapy and prognosis after an acute heart failure episode

Author

Paulo Bettencourt, Patrícia Lourenço, and Ana Azevedo

Subjects
Aged, 80 and over, Heart Failure, Male, medicine.medical_specialty, Portugal, business.industry, Middle Aged, medicine.disease, Prognosis, Social Class, Risk Factors, Heart failure, Acute Disease, medicine, Humans, Female, Cardiology and Cardiovascular Medicine, Intensive care medicine, business, Socioeconomic status, Aged
Published
2013

35. Incremental value of adenosine stress cardiac magnetic resonance in coronary artery disease detection

Author

Nuno Ferreira, Adelino F. Leite-Moreira, Eulália Pereira, Amedeo Chiribiri, Nuno Bettencourt, Lino Simões, Madalena Teixeira, Vasco Gama, Eike Nagel, Andreas Schuster, João Primo, and José Silva-Cardoso

Subjects
Male, medicine.medical_specialty, Adenosine, Cost effectiveness, Fractional flow reserve, Coronary Artery Disease, 030204 cardiovascular system & hematology, Chest pain, Coronary Angiography, Magnetic resonance angiography, Coronary artery disease, 03 medical and health sciences, Myocardial perfusion imaging, 0302 clinical medicine, Internal medicine, Occlusion, medicine, Humans, cardiovascular diseases, 030212 general & internal medicine, Prospective Studies, Aged, medicine.diagnostic_test, business.industry, Middle Aged, medicine.disease, Stenosis, Cardiology, Female, Radiology, medicine.symptom, Cardiology and Cardiovascular Medicine, business, Magnetic Resonance Angiography
Abstract

Cardiac magnetic resonance myocardial perfusion imaging (CMR-MPI) is considered a state-of-the-art non-invasive modality for ischemia detection but its additive value in a multiple-test strategy in patients with suspected coronary artery disease (CAD) is not fully validated. We aimed to evaluate CMR-MPI integration with exercise treadmill test (ETT) for the diagnostic workup of patients with suspected CAD, having invasive fractional flow reserve (FFR) as reference standard.In this prospective single-center study, patients with suspected CAD underwent sequential ETT, CMR-MPI and X-ray invasive coronary angiography (XA). Significant CAD was defined by the presence of stenosis40% with FFR ≤ 0.8 in vessels2 mm or ≥90% stenosis/occlusion.80 symptomatic patients (68% male, 61 ± 8 years) were enrolled. Compared to ETT, CMR-MPI showed similar sensitivity (81%) and higher specificity (93 vs. 58%, p0.001) for CAD detection (prevalence = 46%) translating into better diagnostic performance (AUC 0.87 vs. 0.70; p = 0.002). CMR-MPI improved accuracy independently of ETT in all patients with high pre-test probability and in intermediate-probability patients but those with a clearly positive-ETT (symptoms + ST-shift), in whom ETT correctly identified CAD. In the low-probability group CMR-MPI was useful as a gatekeeper for XA after a positive-ETT. The best integrating protocol achieved a global accuracy of 89% (AUC 0.88) and was clearly superior to an approach based solely in ETT (AUC 0.70, p0.001), yet similar to isolated CMR-MPI (AUC 0.87, p = ns).CMR-MPI has high sensitivity and specificity for CAD detection and may be combined with ETT in a diagnostic workflow aiming to increase accuracy and reduce the number of unnecessary catheterizations.

Published
2012

36. Cardiac magnetic resonance myocardial perfusion imaging for detection of functionally significant obstructive coronary artery disease: a prospective study

Author

Lino Santos, José Silva-Cardoso, Bruno Melica, Adelino F. Leite-Moreira, Nuno Ferreira, Amedeo Chiribiri, Vasco Gama, Alberto Rodrigues, Ricardo Duarte, Pedro Portugal, Eike Nagel, Madalena Teixeira, Lino Simões, Andreas Schuster, Pedro Braga, Francisco Sampaio, and Nuno Bettencourt

Subjects
Male, medicine.medical_specialty, Stress testing, Magnetic Resonance Imaging, Cine, Fractional flow reserve, Coronary Artery Disease, Coronary Angiography, Coronary artery disease, Myocardial perfusion imaging, Positive predicative value, Internal medicine, medicine, Humans, cardiovascular diseases, Prospective Studies, Aged, medicine.diagnostic_test, business.industry, Myocardial Perfusion Imaging, Steady-state free precession imaging, Middle Aged, medicine.disease, Pre- and post-test probability, cardiovascular system, Cardiology, Female, Radiology, Cardiology and Cardiovascular Medicine, business, Perfusion
Abstract

Background Cardiac magnetic resonance myocardial perfusion imaging (CMR-MPI) is considered a state of the art non-invasive modality for the detection of reversible ischemia. Recent studies have shown its utility in the diagnosis of coronary artery disease (CAD) and superiority over other established techniques. However, only a few studies compared CMR-MPI against the invasive standard including fractional flow reserve (FFR) and clinical validation in non-specialized centers is scarce. The aim of this study was to validate CMR-MPI in a real-world clinical environment and to test its diagnostic accuracy in symptomatic patients with suspected CAD versus FFR as the reference standard of functionally significant disease. Methods and results 103 symptomatic consecutive patients (62±8.0years, 66% males) with suspected CAD and intermediate or high probability of disease underwent sequential CMR and invasive coronary angiography (XA). The CMR protocol included stress-rest adenosine perfusion, SSFP cine imaging and late-enhancement imaging. Functionally significant CAD was defined as occlusive/sub-occlusive stenoses on XA or non-occlusive stenoses with a FFR measurement of 2mm. On a patient-based model, CMR-MPI had sensitivity, specificity, positive and negative predictive values of 89%, 88%, 85%, and 91%, respectively, with a global accuracy of 88%. On a vessel-based analysis, these values were 80%, 93%, 79% and 94%, respectively, with a global accuracy of 90%. Conclusions CMR-MPI had a very high accuracy for detection of functionally significant CAD as assessed by FFR in patients with intermediate to high pretest probability.

Published
2012

37. Cardiovascular magnetic resonance myocardial feature tracking for quantitative viability assessment in ischemic cardiomyopathy

Author

Nuno Bettencourt, Masaki Ishida, Geraint Morton, Shazia T Hussain, Boris Bigalke, Matthias Paul, Amedeo Chiribiri, Shelby Kutty, Divaka Perera, Roy Jogiya, Andreas Schuster, and Eike Nagel

Subjects
Male, medicine.medical_specialty, medicine.medical_treatment, Myocardial Ischemia, Magnetic Resonance Imaging, Cine, Revascularization, Internal medicine, medicine, Humans, Aged, Hibernating myocardium, Ejection fraction, Ischemic cardiomyopathy, medicine.diagnostic_test, business.industry, Myocardial feature, Magnetic resonance imaging, Steady-state free precession imaging, Middle Aged, Cardiology, Feasibility Studies, Dobutamine, Female, medicine.symptom, Cardiology and Cardiovascular Medicine, Nuclear medicine, business, Cardiomyopathies, medicine.drug
Abstract

Low dose dobutamine stress magnetic resonance imaging is valuable to assess viability in patients with ischemic cardiomyopathy. Analysis is usually qualitative with considerable operator dependency. The aim of the current study was to investigate the feasibility of cine images derived quantitative cardiac magnetic resonance (CMR) myocardial feature tracking (FT) strain parameters to assess viability in patients with ischemic cardiomyopathy.15 consecutive patients with ischemic cardiomyopathy referred for viability assessment were studied at 3T at rest and during low dose dobutamine stress (5 and 10μg/kg/min of dobutamine). Subendocardial and subepicardial circumferential (Eccendo and Eccepi) and radial (Err) strains were assessed using steady state free precession (SSFP) cine images orientated in 3 short axis slices covering 16 myocardial segments.Dysfunctional segments without scar (n=75) improved in all three strain parameters: Eccendo (Rest: -10.5±6.9; 5μg: -12.1±6.9; 10μg: -14.1±9.2; p0.05), Eccepi (Rest: -7±4.8; 5μg: -8.2±5.5; 10μg: -9.1±5.9; p0.05) and Err (Rest: 11.7±8.3; 5μg: 16±10.9; 10μg: 16.5±12.8; p0.05). There was no response to dobutamine in dysfunctional segments with scar transmurality above 75% (n=6): Eccendo (Rest: -4.7±3.0; 5μg: -2.9±2.5; 10μg: -6.6±3.3; p=ns), Eccepi (Rest: -2.9±2.9; 5μg: -5.4±3.9; 10μg: -4.5±4.2; p=ns) and Err (Rest:9.5±5; 5μg:5.4±6.2; 10μg:4.9±3.3; p=ns). Circumferential strain (Eccendo, Eccepi) improved in all segments up to a transmurality of 75% (n=60; p0.05). Err improved in segments50% transmurality (n=45; p0.05) and remained unchanged above 50% transmurality (n=21; p=ns).CMR-FT is a novel technique, which detects quantitative wall motion derived from SSFP cine imaging at rest and with low dose dobutamine stress. CMR-FT holds promise of quantitative assessment of viability in patients with ischemic cardiomyopathy.

Published
2011

39. BNP at discharge in acute heart failure patients: is it all about volemia? A study using impedance cardiography to assess fluid and hemodynamic status

Author

Paulo Bettencourt, Francisco Rocha-Gonçalves, Joana Pimenta, Joana Mascarenhas, Cristiana Paulo, Ana Azevedo, and Andre Gomes

Subjects
Male, medicine.medical_specialty, Heart disease, medicine.drug_class, Hemodynamics, Cardiography, Impedance, Internal medicine, Natriuretic Peptide, Brain, medicine, Natriuretic peptide, Humans, cardiovascular diseases, Aged, Aged, 80 and over, Heart Failure, Multivariable linear regression, medicine.diagnostic_test, Blood Volume Determination, business.industry, Middle Aged, medicine.disease, Patient Discharge, Body Fluids, Impedance cardiography, Heart failure, Hospital admission, Acute Disease, cardiovascular system, Cardiology, Female, Cardiology and Cardiovascular Medicine, Hypervolemia, business, human activities, hormones, hormone substitutes, and hormone antagonists, Biomarkers, circulatory and respiratory physiology, Follow-Up Studies
Abstract

Besides hemodynamic parameters, several other variables have been associated to B-type natriuretic peptide (BNP) levels. Limited knowledge on BNP determinants in acute heart failure (HF) can undermine the interpretation of BNP levels.To identify predictors of BNP levels, we evaluated 163 hospitalized acute HF patients. Thoracic fluid content (TFC) and hemodynamic parameters were measured by impedance cardiography at discharge. Patients were followed-up for 60 days for the occurrence of death/hospital admission. Median discharge BNP levels were 659.3 pg/ml. In multivariable linear regression analysis, TFC (β=0.043, 95% CI 0.024-0.062 per U/kΩ, p0.001) was a powerful predictor of BNP levels, independently of known markers of HF severity like severe systolic dysfunction and discharge New York Heart Association class. Other independent predictors were: new onset HF, albumin, and body mass index. Sex, left cardiac work index, stroke index, hemoglobin, renal failure and discharge furosemide and lisinopril doses were associated to BNP only in univariate analysis. During follow-up, 45 (27.6%) patients were hospitalized or died. TFC (HR=1.047 (1.016-1.080) per U/kΩ increase, p=0.003) and BNP (HR=1.003 (1.001-1.004) per 10 pg/ml increase, p0.001) were univariate predictors of the outcome, but in multivariate Cox regression analysis, only BNP was independently associated with prognosis.Discharge BNP levels in acute HF patients reflected volemia and disease severity. Persistently high BNP levels during hospitalization should raise the possibility of remaining congestion, which could negatively influence prognosis. The utility of BNP as prognostic marker in HF may reside on its ability to reflect multiple underlying pathophysiological disturbances.

Published
2009

40. Prognostic information provided by serial measurements of brain natriuretic peptide in heart failure

Author

Paula Dias, Fernando Friões, Ana Azevedo, Joana Pimenta, Paulo Bettencourt, António Ferreira, and Francisco Rocha-Gonçalves

Subjects
Male, medicine.medical_specialty, Heart disease, medicine.drug_class, Statistics, Nonparametric, Internal medicine, Epidemiology, Natriuretic Peptide, Brain, medicine, Natriuretic peptide, Humans, cardiovascular diseases, Prospective Studies, Prospective cohort study, Aged, Proportional Hazards Models, Heart Failure, Proportional hazards model, business.industry, medicine.disease, Brain natriuretic peptide, Prognosis, Surgery, Heart failure, cardiovascular system, Cardiology, Female, Cardiology and Cardiovascular Medicine, business, human activities, hormones, hormone substitutes, and hormone antagonists, Biomarkers, circulatory and respiratory physiology
Abstract

Background: Brain natriuretic peptide (BNP) levels predict prognosis in heart failure patients. We aimed to evaluate if serial measurements of BNP can give additional prognostic information. Methods: Eighty-four patients with systolic dysfunction had two measurements of BNP with an interval of 8 to 12 months and were followed in order to register the occurrence of death. The study was observational and prospectively designed. During follow-up, patients were treated according to state of the art. Physicians were kept blind to BNP levels. Results: The median follow-up was 1190 days. The median initial BNP level was 260.4 pg/ml and decreased to 123 pg/ml in the second measurement ( P =0.001). The decrease in BNP was significantly associated with ACE-i dosage and with the use of a beta-blocker. All-cause mortality was 20.2%. Patients whose initial BNP level was above the median had a significantly higher hazard of dying (HR 2.96, 95% CI 1.06–8.26). The same was observed for those whose BNP increased between the first and the second measurement (HR 2.64, 95% CI 1.00–7.00). In multivariable analysis, baseline BNP above the median and increasing BNP were associated with shorter survival. Conclusions: Higher baseline BNP and the increasing levels during follow-up were independently associated with mortality. The decrease in BNP levels was proportional to ACE-i dosage and larger among patients on beta-blockers. These results confirm the prognostic information provided by BNP determination and suggest that serial measurements give additional prognostic information.

Published
2004

41. Wet BNP, fluid and hemodynamic status at discharge in acute heart failure — Reply

Author

Cristiana Paulo, Joana Pimenta, Joana Mascarenhas, Francisco Rocha-Gonçalves, Paulo Bettencourt, Ana Azevedo, and Andre Gomes

Subjects
medicine.medical_specialty, Heart disease, business.industry, medicine.medical_treatment, Hemodynamics, Furosemide, Brain natriuretic peptide, medicine.disease, Internal medicine, Heart failure, Intravascular volume status, medicine, Cardiology, Diuretic, Cardiology and Cardiovascular Medicine, business, Bioelectrical impedance analysis, medicine.drug
Abstract

[4] Parrinello G, Paterna S, Di Pasquale P, et al. The usefulness of bioelectrical impedance analysis in differentiating dyspnea due to decompensated heart failure. J Card Fail 2008;14(8):676–86. [5] Paterna S, Di Pasquale P, Parrinello G, et al. Changes in brain natriuretic peptide levels and bioelectrical impedance measurements after treatment with high-dose furosemide and hypertonic saline solution versus high-dose furosemide alone in refractory congestive heart failure: a double-blind study. J Am Coll Cardiol 2005;45 (12):1997–2003. [6] Paterna S, Parrinello G, Cannizzaro S, et al. Medium term effects of different dosage of diuretic, sodium, and fluid administration on neurohormonal and clinical outcome in patients with recently compensated heart failure. Am J Cardiol 2009;103(1):93–102. [7] Parrinello G, Torres D, Paterna S, et al. The challenge of the volume status assessment in heart failure. Am Heart J 2009;157(4):e19–20. [8] Torres D, Parrinello G, Paterna S, et al. Bioelectrical impedance analysis for prediction of hospital admission due to cardiac decompensation in ambulatory heart failure: a follow-up study. Eur J Int Med 2008;19(S1):33–4. [9] Coats AJ. Ethical authorship and publishing. Int J Cardiol 2009;131:149–50.

Published
2010
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42. Does pre-albumin predict in-hospital mortality in heart failure?

Author

Lourenço, Patrícia, primary, Silva, Sérgio, additional, Friões, Fernando, additional, Alvelos, Margarida, additional, Amorim, Marta, additional, Torres-Ramalho, Paulo, additional, Teles, Maria José, additional, Guimarães, João Tiago, additional, and Bettencourt, Paulo, additional

Published
2013
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