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2. Solucions verdes per al tractament de la contaminació de les aigües subterrànies: avaluació de la disminució d'antibiòtics, pesticides i gens de resistència als antibiòtics mitjançant un fotobiorreactor a escala real

Author

Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia, Cendra Gascón, María del Mar, Subirats Medina, Jessica, Jané Lloret, Ramon, Universitat Politècnica de Catalunya. Departament d'Enginyeria Agroalimentària i Biotecnologia, Cendra Gascón, María del Mar, Subirats Medina, Jessica, and Jané Lloret, Ramon

Abstract

Aquest TFG està dins el projecte europeu LifeSPOT, Groundwater, as the primary source of freshwater globally, represents approximately 97% of the total freshwater supply on Earth. However, this vital resource is exposed to contamination resulting from human activities such as agriculture, livestock farming, and industry. In particular, the use of fertilizers, application of pesticides, and indiscriminate use of antibiotics can infiltrate the soil, reach aquifers, and lead to the presence of contaminants such as antibiotics, pesticides, and antibiotic resistance genes. Within the scope of this study, the efficiency of a green technology system, based on microalgae and bacteria along with wood and cork pellets, in the removal of antibiotics, pesticides, and antibiotic resistance genes in groundwater contaminated by agricultural exploitation was investigated. The abundance of three antibiotic resistance genes (ARGs) (sul1, qnrS1, and tetM), as well as the integrase gene of class 1 integrons (intI1), related to gene mobilization among bacteria, was determined in the untreated groundwater and at different points in the pilot plant using qPCR. Additionally, the 16S rRNA gene, used as an indicator of bacterial abundance in the samples under study, was also analyzed. Antibiotics and pesticides were analyzed in the same samples using liquid chromatography-mass spectrometry (HPLC-MS and/or GC-MS) technologies. The results obtained indicate that the technology based on microalgae and bacteria, in conjunction with wood and cork pellets, could be optimal for the removal of ARGs. However, it is important to ensure that the bacteria introduced into the system, responsible for contaminant removal in water, are not carriers of these genes. Furthermore, the green technology used in this study proved to be effective in the removal of antibiotics and pesticides in contaminated waters. These findings highlight the importance of addressing these issues and demonstrate the efficacy of green technologies in the removal of these contaminant, L'aigua subterrània, com a principal font d'aigua dolça a nivell mundial, representa aproximadament el 97% del subministrament total d'aigua dolça a la Terra. No obstant això, aquest recurs vital està exposat a la contaminació derivada d'activitats humanes com l'agricultura, la ramaderia i la indústria. En particular, l'ús de fertilitzants, l'aplicació de plaguicides i l'ús indiscriminat d'antibiòtics poden infiltrar-se al sòl, arribar als aqüífers i donar lloc a la presència de contaminants, com ara antibiòtics, plaguicides i gens de resistència als antibiòtics. En el marc d'aquest estudi, s'ha investigat l'eficiència d'un sistema de tecnologia verda, basat en microalgues i bacteris juntament amb pèl·lets de fusta i suro, en l'eliminació d'antibiòtics, plaguicides i gens de resistència als antibiòtics en aigües subterrànies contaminades per explotació agrícola. L'abundància de tres gens de resistència als antibiòtics (ARGs) (sul1, qnrS1 i tetM), així com el gen d'integrassa d'integrons de classe 1 (intI1), relacionat amb la mobilització de gens entre bacteris, es va determinar en aigües subterrànies a tractar i en diferents punts de la planta pilot mitjançant qPCR. A més, també es va analitzar el gen 16S RNAr, utilitzat com a indicador de l'abundància bacteriana en les mostres d'estudi. Tanmateix en les mateixes mostres es van analitzar antibiòtics i plaguicides utilitzant tecnologies d'espectrometria de masses amb cromatografia líquida (HPLC-MS i/o GC-MS). Els resultats obtinguts indiquen que la tecnologia basada en microalgues i bacteris, juntament amb pèl·lets de fusta i suro, podria ser òptima per a l'eliminació d'ARGs. No obstant això, és important garantir que els bacteris introduïts en el sistema, encarregats de l'eliminació de contaminants a l'aigua, no siguin portadors d'aquests gens. D'altra banda, la tecnologia verda utilitzada en aquest estudi va mostrar-se eficaç en l'eliminació d'antibiòtics i plaguicides en aigües contaminades. Els resultats destaque, El agua subterránea, como principal fuente de agua dulce a nivel mundial, constituye aproximadamente el 97% del suministro total de agua dulce en la Tierra. Sin embargo, este recurso vital está expuesto a la contaminación derivada de actividades humanas como la agricultura, la ganadería y la industria. En particular, el uso de fertilizantes, la aplicación de pesticidas y el uso indiscriminado de antibióticos pueden infiltrarse en el suelo, llegar a los acuíferos y dar lugar a la presencia de contaminantes, como antibióticos, pesticidas y genes de resistencia a los antibióticos. En el marco de este estudio, se investigó la eficiencia de un sistema de tecnología verde, basado en microalgas i bacterias junto con pellets de madera y corcho, en la eliminación de antibióticos, pesticidas y genes de resistencia a los antibióticos en aguas subterráneas contaminadas por explotación agrícola. La abundancia de tres genes de resistencia a antibióticos (ARGs) (sul1, qnrS1 y tetM), así como el gen de integrasa de integrones de clase 1 (inlt1), relacionado con la movilización de genes entre bacterias, se determinó en aguas subterráneas a tratar y en diferentes puntos de la planta piloto mediante qPCR. Además, también se analizó el gen 16S rRNA, utilizado como indicador de la abundancia bacteriana en las muestras de estudio. En las mismas muestras también se analizaron antibióticos y pesticidas utilizando tecnologías de espectrometría de masas con cromatografía líquida (HPLC-MS y/o GC-MS). Los resultados obtenidos indican que la tecnología basada en microalgas y bacterias en conjunto con pellets de madera y corcho podría ser óptima para la eliminación de ARGs, sin embargo, es importante garantizar que las bacterias introducidas en el sistema, encargadas en la eliminación de contaminantes en el agua, no sean portadoras de dichos genes. Por otra parte, la tecnología verde utilizada en el presente estudio mostró ser eficaz en la eliminación de antibióticos y pesticidas en aguas contam, Objectius de Desenvolupament Sostenible::6 - Aigua Neta i Sanejament

Published
2023

3. Hemodynamic Effects of Sacubitril-Valsartan Versus Enalapril in Patients With Heart Failure in the EVALUATE-HF Study

Author

Mitchell, Gary F., primary, Solomon, Scott D., additional, Shah, Amil M., additional, Claggett, Brian L., additional, Fang, James C., additional, Izzo, Joseph, additional, Abbas, Cheryl A., additional, Desai, Akshay S., additional, Martinez-Castrillon, Melvin, additional, Gables, Coral, additional, Beato, Jorge, additional, Shah, Vipul, additional, Pianko, Leonard, additional, Bouza, Manuel, additional, Alhaddad, Mohsin, additional, Kashani, Amir, additional, Sampognaro, Gregory, additional, Stahl, Lloyd, additional, Lehman, John, additional, Lebhar, Steve, additional, Napoli, Mark, additional, Torres Consuegra, Aurelio, additional, Gonzalez, Humberto, additional, Lloret, Ramon, additional, Ariani, Mehrdad, additional, Azizad, Masoud, additional, Shah, Anil, additional, Henderson, David, additional, Covalesky, John, additional, Brabham, David, additional, Chane, Majed, additional, Sanchez, Eulogio, additional, Vega, Ramses, additional, Clay, Anthony, additional, McClure, John, additional, Sogade, Felix, additional, Ortiz-Munoz, Luis, additional, Lewis, Todd, additional, Zequeira, Argentina Gonzalez, additional, Shah, Rakesh, additional, Lepor, Norman, additional, Gonzalez, Marisela, additional, Tidman, Raymond, additional, Berman, Jeffrey, additional, Lorenz, David, additional, Nanna, Michele, additional, Greene, Trevor, additional, Portnay, Edward, additional, Bernstein, Marc, additional, Somodevilla, Guillermo, additional, Grodman, Robert, additional, Gaffney, Mary, additional, Park, Hyeun, additional, Dor, Isaac, additional, Aslam, Shamaila, additional, Jackson, Richard, additional, Perez, Guido, additional, Martinez, Luis, additional, Gandelman, Glenn, additional, Dy, Johnny, additional, Salacata, Abraham, additional, Abadier, Rafik, additional, Steuter, John, additional, Mahmood, Sadeem, additional, Betton, Harold, additional, Vora, Kishor, additional, Tallaj, Jose, additional, Weinstein, Debra, additional, Alhosaini, Hassana, additional, Everett, John, additional, Rosenberg, Michael, additional, Dunlap, Stephanie, additional, Akinboboy, Olakunle, additional, Walia, Jasjit, additional, Lyandres, Yuly, additional, Harris, Barry, additional, Abo-Auda, Wael, additional, Stearns, Zebediah, additional, Kazemi, Navid, additional, Bradley, Arden, additional, Megna, Lucien, additional, Taylor, Jeff, additional, Innasimuthu, Anthony, additional, Waggoner, L. Douglas, additional, Moraes, Denzil, additional, Jani, Sandeep, additional, Chronos, Nicolas, additional, Joshi, Nikhil, additional, Radin, Michael, additional, Suleman, Amer, additional, Grena, Paul, additional, Agrawal, Subodh, additional, and Holmberg, Mark, additional

Published
2021
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5. Ticagrelor in patients with diabetes and stable coronary artery disease with a history of previous percutaneous coronary intervention (THEMIS-PCI): a phase 3, placebo-controlled, randomised trial

Author

Bhatt, Deepak L, Steg, Philippe Gabriel, Mehta, Shamir R, Leiter, Lawrence A, Simon, Tabassome, Fox, Kim, Held, Claes, Andersson, Marielle, Himmelmann, Anders, Ridderstråle, Wilhelm, Chen, Jersey, Song, Yang, Diaz, Rafael, Goto, Shinya, James, Stefan K, Ray, Kausik K, Parkhomenko, Alexander N, Kosiborod, Mikhail N, McGuire, Darren K, Harrington, Robert A, Santos, Vladimir, Jain, Ashit, Lendel, Irina, Russo, Michael, Haught, W H, Bouza, Manuel, Gogia, Harinder, Banerjee, Supratim, Kichura, George, Kantaros, Louis, Padron, Francisco, Passi, Rakesh, Stone, Jay, Pursley, Michael, D'Urso, Michael, Gardner, Timothy, Bennett, James, Nour, Khaled, Saini, Satinder, Zhang, Wenwu, Kumbhani, Dharam, Thomas, Dustin, Angiolillo, Dominick, Bertolet, Barry, Roman-Miranda, Amaury, Black, Robert, Manshadi, Ramin, Vaca, Carlos, Blanco, Antonio, Napoli, Mark, Brabham, David, Akyea-Djamson, Ayim, Desai, Pratik, Prasada, Sudhir, Khaira, Ajit, Forgosh, Leslie, Lieber, Ira, Umpierrez, Guillermo, Singal, Dinesh, Londono, Juan, Fraser, Neil, Ruiz, Jose, Vega, Damaris, Rodriguez, Lilia, Brown, Christopher, Syed, Faizullah, Aggarwala, Guarav, Eaves, William, Foster, Michael, Gupta, Dinesh, Avino, David, Asfour, Wail, Tonnessen, Glen, Zhao, Xue-Qiao, Singh, Narendra, Brockmyre, Andrew, Lepor, Norman, Shammas, Nicolas, Blick, David, Hearne, Steven, Prodafikas, John, Carell, Edgar, Izzo, Mark, Karim, Amin, Zakhary, Bosh, Atieh, Mahmoud, Leichter, Steven, Meadows, Charles, Hotchkiss, David, Abu-Fadel, Mazen, Wiseman, Alan, Bander, Jeffrey, Shah, Mahesh, Banerjee, Subhash, Ganim, Ricky, Sopko, Karen, Khan, Misal, Lloret, Ramon, Weirick, Troy, Mehta, Rajendra, Thadani, Udho, Bhargava, Anuj, Kosiborod, Mikhail, Moya, Jaynier, Staniloae, Cezar, Guerra, Yamirka D, Chhabra, Anil, Kosmicki, Douglas, Shaheen, Wassim, Mohammed, Akber, Bitters, J'Cinda, Pattanayak, Jan, Javier, Julian, Srivastava, Sunny, Phillips, Roland, Al-Amin, Jessie, Lillestol, Michael, Simpson, Patrick, Hazan, Lydie, Amin, Amit, Shah, Gopi, Korpas, Denes, Platt, Bruce, Dickert, Jim, Puente, Orlando, Hiotis, Louis, Doyle, Timothy, Rajan, Raj, Meholick, Alan, Gring, Christian, Hage-Korban, Elie, Feldman, Robert, Colfer, Harry, Butman, Samuel, Foster, Malcolm, Hart, Terence, Huling, Randall, Eshaghian, Shervin, Quintana, Ofsman, Cheung, Deanna, Handel, Franklin, Rodriguez, Mara, Suh, David, Gordon, Paul, Pressman, Gregg, Bauer, Michael, French, William, Barettella, Mark, Chatrathi, Sridhar, Suresh, Damodhar, Goldberg, Ronald, Huth, Mark, Younis, Liwa, Rahman, Aref, Mascolo, Richard, Welch, Michelle, Suneja, Randeep, Smith, Stephen, Shurmur, Scott, Agaiby, John, Jingo, Ahmad, Johnston, Janice, Beth, Mary, Vlastaris, Anthony, Kemp, Susan, Taheri, Hamid, Pereira, Edward, Deyoung, Michael, Hawa, Zafir, Smith, Ray, Galski, Thomas, Garas, Samer, Reddy, M, Sharma, Susheel, Hargrove, Joeseph, Treasure, Charles, Emerson, Ronald, Haddad, Tariq, Rohr, Kathryn, Levinson, Larry, Gaona, Raul, Uretsky, Barry, Maheshwari, Hiralal, Lee, Denny, Kinnaman, Stephanie, Singal, Robert, Geohas, Jeffrey, Gigliotti, Osvaldo, Raisinghani, Ajit, Khurana, Charanjit, Hella, Brent, Kelberman, Michael, Voyce, Steven, Singh, Sanjay, Lo, Eric, Singh, Pradeep, Goodfellow, Ross, Fischer, Stuart, Lorraine, Richard, Turner, Traci, Shanes, Jeffrey, Busch, Robert, Broker, Robert, Zaniewski, Michelle, Pounds, Kevin, Debs-Perez, Giselle, Ong, Stephen, Frandsen, Brad, Fullington, Douglas, Jaffrani, Naseem, Khan, Ahtaram, Lee, Marcus, Pouzar, Joe, Revtyak, George, Gonzalez, Julian, Nakhle, Samer, Murillo, Abel, Young, Douglas, Makam, Sashi, Syed, Mushtaq, Woolf, Kevin, Grena, Paul, Alfata, Sarab, Mahal, Sharan, Hoffman, David, Kizhakekuttu, Tinoy, Deering, Joseph, Bhavsar, Janak, Mikesell, Scott, Wilson, William, Wilson, Vance, El, Salah, Spinale, Francis, Kannarkat, Vinod, Rao, Sunder, Hanson, Lenita, Bertsch, John, Gonzalez-Ortiz, Elena, Severino, Norma, Willis, John, Schock, Joel, Bakhtari, Ladan, Gazmuri, Raul, Ansari, Saadat, Hall, Jason, Mehta, Arvind, Shealy, Neal, Zarich, Stuart, Singh, Deovrat, Vora, Kishor, Andrawis, Nabil, Molter, Darron, Maron, David, Cardona, Jose, D'Agostino, Ronald, Arshad, Tamjeed, Samaan, Rodney, Jones, David, Presser, Dale, Heath, John, Green, Sandy, Bittar, George, Henry, Sheldon, Korn, David, Schmedtje, John, Nadar, Venkatesh, Graham, Bruce, Labroo, Ajay, Clavijo, Leonardo, Roseman, Hal, Ledesma, Gilbert, Rosen, Robert, Dor, Isaac, Kirby, William, Sutton, Jennefer, Eder, Frank, Iteld, Bruce, Gomez-Cortes, Jose, Buchbinder, Maurice, Kasper, Joseph, Terrelonge, Antonio, Torres, Gustavo, Jagielo, Ted, Alvarez, Jose, Handelsman, Yehuda, Guillen, Mario, Richwine, Randall, Lewy-Alterbaum, Lorena, Corder, Clinton, Arvind, Moogali, Bolshoun, David, Mikhail, Magdy, Minton, Stephen, Alvarado, Odilon, Abbott, J, Cauthen, Brett, Welter, Ryan, Mintz, Randy, Cox, John, Quick, Annette, Weiss, Melvin, Dy, Johnny, Zebrack, James, Gandelman, Glenn, Hegde, Vinayak, Silver, Marc, DeGregorio, Michele, Lawson, William, Paa, Christopher, Bortnick, Anna, Krolick, Merrill, Sotolongo, Rodolfo, Cheirif, Jorge, Kumar, Priya, Nadar, Venkatesh, Jetty, Preetham, Patel, Ambar, Kruk, Mariusz, Kobielusz-Gembala, Iwona, Rewerska, Barbara, Madrzejewski, Adam, Milewski, Krzysztof, Cygler, Jerzy, Petryka-Mazurkiewicz, Joanna, Jastrzebski, Waldemar, Korecki, Janusz, Fil, Wojciech, Prokopczuk, Janusz, Bochenek, Anna, Wujkowski, Marek, Witek, Robert, Konczakowski, Piotr, Miekus, Pawel, Szczasny, Marcin, Musial, Wlodzimierz, Cymerman, Krzysztof, Lampart, Jacek, Mikosinski, Jacek, Szynal, Slawomir, Fares, Issa, Opolski, Grzegorz, Mazur, Stanislaw, Wozakowska-Kaplon, Beata, Bijata-Bronisz, Renata, Wierucki, Lukasz, Losa, Beata, Drelich, Grzegorz, Konieczny, Marek, Starczewski, Pawel, Pawlowicz, Lidia, Jesionowski, Pawel, Jurowiecki, Jaroslaw, Gniot, Jacek, Czyzycki, Mariusz, Stania, Karol, Kucharczyk-Bauman, Izabela, Busz-Papiez, Benita, Karczmarczyk, Agnieszka, Sudnik, Wanda, Koszek, Alina, Kolodziej, Piotr, Skwarna, Bartosz, Jaramillo, Nicolás, Jankowski, Maciej, Czochra, Wojciech, Kinasz, Leszek, Miklaszewicz, Beata, Stasinska, Teresa, Pluta, Wladyslaw, Basiak, Marcin, Rusicka, Teresa, Niedbal-Yahfouf, Izabela, Popenda, Grazyna, Korzeniak, Romuald, Mirek, Agnieszka, Mariankowski, Rafal, Wojnowski, Lukasz, Korol, Marek, Baszak, Jacek, Podolec, Piotr, Piesiewicz, Wojciech, Zurakowski, Aleksander, Luengas, Carlos, Skura, Marek, Pilecki, Piotr, Majchrzak, Piotr, Krzyzagórska, Ewa, Drozd, Marcin, Kaczmarek, Barbara, Sliwinska, Teresa, Zelazowska, Katarzyna, Sztembis, Rafal, Landa, Katarzyna, Matyszczak-Toniak, Lidia, Strojek, Krzysztof, Piepiorka, Marek, Malinowski, Robert, Górska, Maria, Stolarczyk-Sowa, Edyta, Romanowski, Leszek, Zinka, Elzbieta, Reszka, Zygfryd, Skierkowska, Joanna, Uzunow, Anna, Laskowska-Derlaga, Ewa, Puntus, Ekaterina, Kosmacheva, Elena D, Koziolova, Natalia, Pavlov, Prokhor, Supryadkina, Tatiana, Didenko, Yury, Kopylov, Philipp, Kazakov, Andrei, Aksentiev, Sergei, Vishneva, Elena, Repin, Alexey, Smolenskaya, Olga, Mantserova, Olga, Khrustalev, Oleg, Privalova, Elena, Konstantinov, Vladimir, Boldueva, Svetlana, Ezhov, Andrey, Chernyavsky, Alexander, Kamalov, Gadel, Galyavich, Albert, Zubeeva, Galina, Nechaeva, Galina, Shustov, Sergey, Dzhaiani, Nino, Treshkur, Tatiana, Osokina, Nataliya, Panov, Alexey, Shutemova, Elena, Makukhin, Valeriy, Kropotina, Tatiana, Tsyba, Larisa, Karpov, Yuri, Sizova, J M, Ballyuzek, Marina, Tarasov, Nikolay, Demchenko, Elena, Barbarash, Olga, Moiseev, Valentin, Markov, Valentin, Kuznetsov, Vadim, Viktorova, Inna, Sergienko, Igor, Ermoshkina, Lyudmila, Khasanov, Niyaz, Khlevchuk, Tatiana, Baglikov, Andrey, Shalaev, Sergey, Zonova, Elena, Reznik, Elena, Haisheva, Larisa, Morugova, Tatyana, Lomakin, Nikita, Vishnevsky, Alexander, Shvarts, Yuri, Magnitskaya, Olga, Mikhailusova, Marina, Pavlysh, Elena, Libov, Igor, Zateyschikova, Anna, Kostenko, Victor, Edin, Anton, Khovaeva, Yaroslava, Zakharov, Konstantin, Stryuk, Raisa, Khirmanov, Vladimir, Kanorskiy, Sergey, Yakushin, Sergey, Barabashkina, Anna, Li, Hongwei, Zhao, Qiang, Zhang, Jian, Ma, Jianhua, He, Yong, Luo, Ming, Zhang, Aidong, Zhang, Ningru, Chai, Yingru, Ma, Genshan, Wang, Hao, Liu, Zhigang, He, Lanjie, Song, Zhifang, Dong, Xiaolin, Tao, Liang, Li, Zhanquan, Su, Xi, Kong, Xiangqing, Niu, Heping, Ge, Junbo, Luo, Zhurong, Huang, Wenjun, Peng, Daoquan, Yuan, Zuyi, Milanova, Maria, Tenev, Doncho, Gogov, Antoni, Karageorgiev, Dimitar, Kolchev, Todor, Rusev, Nikolay, Georgieva, Nikolina, Kondov, Rumen, Rusinov, Veselin, Petrov, Ivo, Stanchev, Georgi, Konteva, Mariana, Dincheva, Adriana, Yaneva, Zdravka, Vatova, Ralitsa, Ilieva, Katya, Runev, Nikolai, Kolomanov, Borislav, Petrov, Ivan, Iliev, Nikolay, Tisheva, Snezhanka, Chompalova, Boryana, Tokmakova, Maria, Raev, Dimitar, Byanov, Kolyo, Markov, Dimitar, Mihov, Lenko, Mihov, Atanas, Milcheva, Nora, Minchev, Milen, Mollov, Mihail, Borisov, Borislav, Tihchev, Tihomir, Karakolev, Venelin, Dimov, Bojidar, Georgiev, Svetoslav, Smilov, Lachezar, Koo, Bon K, Ahn, Taehoon, Hong, Soon J, Yoon, Junghan, Oh, Seok K, Jeong, Myung H, Kim, Doo-Il, Chang, Kiyuk, Kim, Weon, Hahn, Joo-Yong, Cha, Kwang S, Lee, Jung-Hee, Choi, Si-Wan, Nam, Chang-Wook, Chae, In-Ho, Park, Yong H, Tahk, Seung-Jea, Shin, Won-Yong, Chae, Jei-Keon, Kim, Byung J, Bae, Jang-Whan, Park, Woo J, Rha, Seung W, Choi, Young J, Hwang, Jin-Yong, Park, Hun S, Baracioli, Luciano, Guimaraes, Fabio, Vasconcellos, Eduardo, Saraiva, José, Pereira, Adamastor, Santos, Queulla, Rossi, Paulo, Maia, Lilia, Madeira, Miguel, Pereira, Marcio, Botelho, Roberto, Reis, Gilmar, Eliaschewitz, Freddy, Borges, Joao, Nascimento, Carlos, Fortes, Jose A, de Souza, Weimar, Pimentel, Pedro, Hissa, Miguel, Franchetti, Marcos, Precoma, Dalton, Ortiz, Costantino, Hernandes, Mauro, Saporito, Wladmir, dos Santos, Fabio R, Kormann, Adrian, Neuenschwander, Fernando, Dutra, Oscar, Rassi, Nelson, Tanajura, Luiz, Souza, Juliana, Junior, Delcio S, Leaes, Paulo, Forte, Adriana, Bonansea, Teresa C, Marin, Jose, Machado, Bruno, Cerqueira, Maria J, Silva, Frederico, Michalaros, Yorghos, Manenti, Euler, Cercato, Cintia, Figueiredo, Estevao, Liu, Ming-En, Wang, Yi-Chih, Lee, Tsung-Ming, Fang, Chih, Wu, Yen-Wen, Ueng, Kwo-Chang, Sheu, Huey-Herng, Lai, Wen T, Hsieh, I-Chang, Chen, Zhih-Cherng, Lee, Mu-Jang, Chiang, Chern, Shyu, Kou-Gi, Hsia, Chien-Hsun, Mar, Guang-Yuan, Chan, Shih-Hung, Wu, Chih-Cheng, Tseng, Wei-Kung, Chang, Kuan-Cheng, Yeh, Hung-I, Wang, Ji-Hung, Hou, Charles, Sorokina, Inna, Dolzhenko, Maryna, Horoshko, Olha, Karpenko, Oleksandr, Rudenko, Leonid, Vakaliuk, Igor, Kulyk, Anna, Levchenko, Olena, Prokhorov, Oleksandr, Reshotko, Dmytro, Sorokivskyy, Mykhaylo, Velichko, Nataliia, Maslovskyi, Valentyn, Teliatnikova, Zinaida, Dotsenko, Sergiy, Krakhmalova, Olena, Kraiz, Igor, Zharinova, Viktoria, Bula, Larysa, Kaydashev, Igor, Molodtsov, Valeriy, Rasputina, Lesya, Pidlisna, Viktoriya, Lysunets, Olena, Kravchenko, Anatoliy, Glushko, Liubomyr, Khomazyuk, Tetyana, Svyshchenko, Yevgeniya, Parkhomenko, Oleksandr, Mankovsky, Boris, Abrahamovych, Orest, Yagensky, Andriy, Stanislavchuk, Mykola, Vasilyeva, Larisa, Sokolova, Liubov, Sychov, Oleg, Tseluyko, Vira, Kyrychenko, Igor, Rishko, Mykola, Furkalo, Sergiy, Gallo, Richard, Bertrand, Olivier, Mehta, Shamir, Constance, Christian, Sussex, Bruce, Zadra, Remo, Kouz, Simon, Chehayeb, Raja, Pandey, Amritanshu, Dion, Danielle, Bailey, Gordon, Hill, Laurie, Ramanathan, Krishnan, Dorsch, Micha, Nanji, Alykhan, Babapulle, Mohan, Montigny, Martine, Gosselin, Gilbert, Dehghani, Payam, Rupka, Dennis, Le May, Michel, Pichette, Francis, St-Maurice, Francois, Teefy, Patrick, Mansour, Samer, Kassam, Saleem, Cheung, Stephen, Siega, Anthony D, O'Keefe, Dennis, Sabbah, Eric, Bell, Alan, Chouinard, Guy, Wong, Brian, Miller, Mark, Gaudet, Daniel, Lachance, Pierre, Bata, Iqbal, Petrella, Robert, Gossard, Denis, Dumas, Richard, Ing, Douglas, Boyrazian, Hagop, Bessoudo, Ricardo, Huynh, Thao T, Hart, Randy, Belle-Isle, Jasmin, Shukla, Dinkar, Kelly, Allan, Mazza, Giuseppe, Cha, James, Henein, Sam, Frechette, Andre, Vizel, Saul, Liutkus, Joanne F, O'Mahony, Michael, Halperin, Frank, Kooy, Jacobus, Graham, John, Bailey, Allan, Wojcik, Ronald, Wilderman, Igor, Turi, Tibor, Motyovszki, Ákos, Merkely, Béla, Király, Csaba, Andrássy, Péter, Sárszegi, Zsolt, Fülöp, Tibor, Zilahi, Zsolt, Édes, István, Papp, Andras, Müller, Gábor, Czigány, Anna, Zólyomi, Szilárd, Korányi, László, Takács, János, Juhász, Ferenc, Benczur, Bela, Kancz, Sándor, Földi, András, Nagy, András C, Bakai, Judit, Greschik, István, Püski, László, Nagy, László, Kirschner, Róbert, Kuchar, Roman, Hajek, Petr, Busak, Ladislav, Michalik, Daniel, Matyasek, Ivo, Marusincova, Ivana, Kucera, Dusan, Jerabek, Ondrej, Honkova, Michaela, Dedek, Vratislav, Rihacek, Ivan, Kos, Pavel, Slaby, Josef, Machkova, Martina, Zidkova, Eva, Elbl, Lubomir, Grunfeldova, Hana, Carda, Jiri, Mrozek, Vladimir, 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Anders, Leonsson-Zachrisson, Maria, and Ridderstråle, Wilhelm

Abstract

Patients with stable coronary artery disease and diabetes with previous percutaneous coronary intervention (PCI), particularly those with previous stenting, are at high risk of ischaemic events. These patients are generally treated with aspirin. In this trial, we aimed to investigate if these patients would benefit from treatment with aspirin plus ticagrelor.

Published
2019
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