Search

Your search keyword '"Isidoro, D."' showing total 41 results
Start Over Author "Isidoro, D."
41 results on '"Isidoro, D."'

4. Time for a paradigm shift in shared decision-making in trauma and emergency surgery? Results from an international survey

Author

Cobianchi, Lorenzo, Dal Mas, Francesca, Agnoletti, Vanni, Ansaloni, Luca, Biffl, Walter, Butturini, Giovanni, Campostrini, Stefano, Catena, Fausto, Denicolai, Stefano, Fugazzola, Paola, Martellucci, Jacopo, Massaro, Maurizio, Previtali, Pietro, Ruta, Federico, Venturi, Alessandro, Woltz, Sarah, Kaafarani, Haytham M., Loftus, Tyler J., Aapoäÿlu, Recayi, Abbott, Kenneth Lyle, Abdelmalik, Abubaker, Abebe, Nebyou Seyoum, Abu-Zidan, Fikri, Adam, Yousif Abdallah Yousif, Adamou, Harissou, Adamovich, Dmitry Mikhailovich, Agresta, Ferdinando, Agrusa, Antonino, Akin, Emrah, Alessiani, Mario, Alexandrino, Henrique, Bidoli, Chiara, Ali, Syed Muhammad, Mihai, Vasilescu Alin, Almeida, Pedro Miguel, Al-Shehari, Mohammed Mohammed, Altomare, Michele, Amico, Francesco, Ammendola, Michele, Andreuccetti, Jacopo, Anestiadou, Elissavet, Annicchiarico, Alfredo, Antonelli, Amedeo, Aparicio-Sanchez, Daniel, Ardito, Antonella, Argenio, Giulio, Arvieux, Catherine Claude, Arvieux, Catherine, Askevold, Ingolf Harald, Atanasov, Boyko Tchavdarov, Augustin, Goran, Awad, Selmy Sabry, Bacchiocchi, Giulia, Bagnoli, Carlo, Bahouth, Hany, Baili, Efstratia, Bains, Lovenish, Baiocchi, Gian Luca, Bala, Miklosh, Balaguà©, Carmen, Balalis, Dimitrios, Baldini, Edoardo, Baraket, Oussama, Baral, Suman, Barone, Mirko, Gonzãlez Barranquero, Alberto, Barreras, Jorge Arturo, Bass, Gary Alan, Bayhan, Zulfu, Bellanova, Giovanni, Ben-Ishay, Offir, Bert, Fabrizio, Bianchi, Valentina, Biancuzzi, Helena, Radulescu, Raluca Bievel, Bignell, Mark Brian, Biloslavo, Alan, Bini, Roberto, Bissacco, Daniele, Boati, Paoll, Boddaert, Guillaume, Bogdanic, Branko, Bombardini, Cristina, Bonavina, Luigi, Bonomo, Luca, Bottari, Andrea, Bouliaris, Konstantinos, Brachini, Gioia, Brillantino, Antonio, Brisinda, Giuseppe, Bulanauca, Maloni Mamada, Buonomo, Luis Antonio, Burcharth, Jakob, Buscemi, Salvatore, Calabretto, Francesca, Calini, Giacomo, Calu, Valentin, Campanile, Fabio Cesare, Campo Dall’Orto, Riccardo, Campos-Serra, Andrea, Carvas, Joao Miguel, Cascella, Marco, Pattacini, Gianmaria Casoni, Celentano, Valerio, Centonze, Danilo Corrado, Ceresoli, Marco, Chatzipetris, Dimitrios, Chessa, Antonella, Chiarello, Maria Michela, Chirica, Mircea, Chooklin, Serge, Chouliaras, Christos, Chowdhury, Sharfuddin, Cianci, Pasquale, Cillara, Nicola, Cimbanassi, Stefania, Cioffi, Stefano Piero Bernardo, Colãis-Ruiz, Enrique, Colak, Elif, Conti, Luigi, Coppola, Alessandro, de Sa, Tiago Correia, Costa, Silvia Dantas, Cozza, Valerio, Curro’, Giuseppe, Dabekaussen, Kirsten Felicia Ann-Sophie Aimee, D’Acapito, Fabrizio, Damaskos, Dimitrios, D’Ambrosio, Giancarlo, Das, Koray, Davies, Richard Justin, de Beaux, Andrew Charles, De Lebrusant Fernandez, Sara Patricia, De Luca, Alessandro, De Simone, Belinda, De Stefano, Francesca, Degrate, Luca, Demetrashvili, Zaza, Demetriades, Andreas Kyriacou, Detanac, Dzemail Smail, Dezi, Agnese, Di Buono, Giuseppe, Carlo, Isidoro-D. I., Di Lascio, Pierpaolo, Di Martino, Marcello, Di Saverio, Salomone, Diaconescu, Bogdan, Diaz, Jose J., Dibra, Rigers, Dimitrov, Evgeni Nikolaev, Dinuzzi, Vincenza Paola, Dios-Barbeito, Sandra, Diyani, Jehangir Farman Ali, Dogjani, Agron, Domanin, Maurizio, D’Oria, Mario, Munoz-Cruzado, Virginia Duran, East, Barbora, Ekelund, Mikael, Ekwen, Gerald Takem, Elbaih, Adel Hamed, Elhadi, Muhammed, Enninghorst, Natalie, Ernisova, Mairam, Escalera-Antezana, Juan Pablo, Esposito, Sofia, Esposito, Giuseppe, Estaire-Gãmez, Mercedes, Farã, Camilla Nikita, Farre, Roser, Favi, Francesco, Ferrario, Luca, Ferrario di Tor Vajana, Antonjacopo, Filisetti, Claudia, Fleres, Francesco, Fonseca, Vinicius Cordeiro, Forero-Torres, Alexander, Forfori, Francesco, Fortuna, Laura, Fradelos, Evangelos, Fraga, Gustavo P., Fransvea, Pietro, Frassini, Simone, Frazzetta, Giuseppe, Frigerio, Isabella, Frountzas, Maximos, Gachabayov, Mahir, Galeiras, Rita, Garcãa, Belen Matãas, Garcia Vazquez, Alain, Gargarella, Simone, Garzali, Ibrahim Umar, Ghannam, Wagih Mommtaz, Ghazi, Faiz Najmuddin, Gillman, Lawrence Marshall, Gioco, Rossella, Giordano, Alessio, Giordano, Luca, Giove, Carlo, Giraudo, Giorgio, Giuffrida, Mario, Capponi, Michela Giulii, Gois, Emanuel, Gomes, Carlos Augusto, Gomes, Felipe Couto, Gonsaga, Ricardo Alessandro Teixeira, Gonullu, Emre, Goosen, Jacques, Goranovic, Tatjana, Gracia-Roman, Raquel, Graziano, Giorgio Maria Paolo, Griffiths, Ewen Alexander, Guagni, Tommaso, Hadzhiev, Dimitar Bozhidarov, Haidar, Muad Gamil, Hamid, Hytham K. S., Hardcastle, Timothy Craig, Hayati, Firdaus, Healey, Andrew James, Hecker, Andreas, Hecker, Matthias, Garcia, Edgar Fernando Hernandez, Hodonou, Adrien Montcho, Huaman, Eduardo cancio, Huerta, Martin, Ibrahim, Aini Fahriza, Ibrahim, Basil Mohamed Salabeldin, Ietto, Giuseppe, Inama, Marco, Ioannidis, Orestis, Isik, Arda, Ismail, Nizar, Ismail, Azzain Mahadi Hamid, Jailani, RUHI Fadzlyana, Jang, Ji Young, Kalfountzos, Christos, Kalipershad, Sujala Niatarika Rajsain, Kaouras, Emmanouil, Kaplan, Lewis Jay, Kara, Yasin, Karamagioli, Evika, Karamarkovia, Aleksandar, Katsaros, Ioannis, Kavalakat, Alfie J., Kechagias, Aristotelis, Kenig, Jakub, Kessel, Boris Juli, Khan, Jim S., Khokha, Vladimir, Kim, Jae Il, Kirkpatrick, Andrew Wallace, Klappenbach, Roberto, Kobe, Yoshiro, Lymperis, Efstratios Kofopoulos, Kok, Kenneth Yuh Yen, Kong, Victor, Korkolis, Dimitris P., Koukoulis, Georgios, Kovacevic, Bojan, Kruger, Vitor Favali, Kryvoruchko, Igor A., Kurihara, Hayato, Kuriyama, Akira, Landaluce-Olavarria, Aitor, Lapolla, Pierfrancesco, Licari, Leo, Lisi, Giorgio, Litvin, Andrey, Lizarazu, Aintzane, Bayo, Heura Llaquet, Lohsiriwat, Varut, Moreira, Claudia Cristina Lopes, Lostoridis, Eftychios, Luna, Agustãn Tovar, Luppi, Davide, Gustavo Miguel Machain, V., Maegele, Marc, Maggiore, Daniele, Magnone, Stefano, Maier, Ronald V., Major, Piotr, Manangi, Mallikarjuna, Manetti, Andrea, Mantoglu, Baris, Marafante, Chiara, Mariani, Federico, Marinis, Athanasios, Mariot, EvandroAntonio Sbalcheiro, Marseglia, Giuseppe Roberto, Martãnez-Pãrez, Aleix, Martines, Gennaro, Perez, Aleix Martinez, Martino, Costanza, Mascagni, Pietro, Massalou, Damien, Matãas-Garcãa, Belãn, Mazzarella, Gennaro, Mazzarolo, Giorgio, Melo, Renato Bessa, Mendoza-Moreno, Fernando, Meric, Serhat, Meyer, Jeremy, Miceli, Luca, Michalopoulos, Nikolaos V., Milana, Flavio, Mingoli, Andrea, Mishra, Tushar S., Mohamed, Muyed, Mohamed, Musab Isam Eldin Abbas, Mohamedahmed, Ali Yasen, Mohammed, Mohammed Jibreel Suliman, Mohan, Rajashekar, Moore, Ernest E., Morales-Garcia, Dieter, Muhrbeck, Mãns, Mulita, Francesk, Mustafa, Sami Mohamed Siddig, Muttillo, Edoardo Maria, Naimzada, Mukhammad David, Navsaria, Pradeep H., Negoi, Ionut, Nespoli, Luca, Nguyen, Christine, Nidaw, Melkamu Kibret, Nigri, Giuseppe, Nikolopoulos, Ioannis, O’Connor, Donal Brendan, Ogundipe, Habeeb Damilola, Oliveri, Cristina, Olmi, Stefano, Ong, Ernest Cun Wang, Orecchia, Luca, Osipov, Aleksei V., Othman, Muhammad Faeid, Pace, Marco, Pacilli, Mario, Pagani, Leonardo, Palomba, Giuseppe, Pantalone, Desire’, Panyko, Arpad, Paolillo, Ciro, Papa, Mario Virgilio, Papaconstantinou, Dimitrios, Papadoliopoulou, Maria, Papadopoulos, Aristeidis, Papis, Davide, Pararas, Nikolaos, Parreira, Jose Gustavo, Parry, Neil Geordie, Pata, Francesco, Patel, Tapan, Paterson-Brown, Simon, Pavone, Giovanna, Pecchini, Francesca, Pellino, Gianluca, Pelloni, Maria, Peloso, Andrea, del Pozo, Eduardo Perea, Pereira, Rita Goncalves, Pereira, Bruno Monteiro, Perez, Aintzane Lizarazu, Perra, Teresa, Perrone, Gennaro, Pesce, Antonio, Petagna, Lorenzo, Petracca, Giovanni, Phupong, Vorapong, Picardi, Biagio, Picciariello, Arcangelo, Piccoli, Micaela, Piccolo, Daniele, Picetti, Edoardo, Pikoulis Pikoulis, Emmanouil, Pintar, Tadeja, Pirozzolo, Giovanni, Piscioneri, Francesco, Podda, Mauro, Porcu, Alberto, Privitera, Francesca, Punzo, Clelia, Quaresima, Silvia, Quiodettis, Martha Alexa, Qvist, Niels, Rahim, Razrim, de Almeida, Filipe Ramalho, Ramely, Rosnelifaizur Bin, Rasa, Huseyin Kemal, Reichert, Martin, Reinisch-Liese, Alexander, Renne, Angela, Riccetti, Camilla, Rodriguez-Luna, Maria Rita, Roizblatt, Daniel, Romanzi, Andrea, Romeo, Luigi, Roscio, Francesco Pietro Maria, Rosnelifaizur, Ramely Bin, Rossi, Stefano, Rubiano, Andres M., Ruiz-Úcar, Elena, Sakakushev, Boris Evgeniev, Salamea, Juan Carlos, Sall, Ibrahima, Samarakoon, Lasitha Bhagya, Sammartano, Fabrizio, Arteaga, Alejandro Sanchez, Sanchez-Cordero, Sergi, Santoanastaso, Domenico Pietro Maria, Sasia, Diego, Sato, Norio, Savchuk, Artem, Sawyer, Robert Grant, Scaioli, Giacomo, Schizas, Dimitrios, Sebastiani, Simone, Seeliger, Barbara, Lohse, Helmut Alfredo Segovia, Seretis, Charalampos, Sermonesi, Giacomo, Serradilla-Martin, Mario, Shelat, Vishal G., Shlyapnikov, Sergei, Sidiropoulos, Theodoros, Simoes, Romeo Lages, Siragusa, Leandro, Siribumrungwong, Boonying, Slavchev, Mihail, Solaini, Leonardo, Soldini, Gabriele, Sopuev, Andrey, Soreide, Kjetil, Sovatzidis, Apostolos, Stahel, Philip Frank, Strickland, Matt, Sultan, Mohamed Arif Hameed, Sydorchuk, Ruslan, Sydorchuk, Larysa, Syed, Syed Muhammad Ali Muhammad, Syed, Ali Muhammad, Tallon-Aguilar, Luis, Tamburini, Andrea Marco, Tamini, Nicolò, Tan, Edward C. T. H., Tan, Jih Huei, Tarasconi, Antonio, Tartaglia, Nicola, Tartaglia, Giuseppe, Tartaglia, Dario, Taylor, John Vincent, Tebala, Giovanni Domenico, Teuben, Michel, Theodorou, Alexis, Tolonen, Matti, Tomasicchio, Giovanni, Toro, Adriana, Torre, Beatrice, Triantafyllou, Tania, Trigiante Trigiante, Giuseppe, Tripepi, Marzia, Trostchansky, Julio, Tsekouras, Konstantinos, Turrado-Rodriguez, Victor, Tutino, Roberta, Uccelli, Matteo, Uchikov, Petar Angelov, Ugarte-Sierra, Bakarne, Ukkonen, Mika Tapani, Vailas, Michail, Vassiliu, Panteleimon G., Vazquez, Alain Garcia, Vazquez, Rita Galeiras, Verde, Juan Ezequiel, Verde, Juan Manuel, Veroux, Massimiliano, Viganò, Jacopo, Vilallonga, Ramon, Visconti, Diego, Vittori, Alessandro, Waledziak, Maciej, Wannatoop, Tongporn, Widmer, Lukas Werner, Wilson, Michael Samuel James, Wong, Ting Hway, Xenaki, Sofia, Byungchul, Yu, Yule, Steven, Zachariah, Sanoop Koshy, Zacharis, Georgios, Zaghi, Claudia, Zakaria, Andee Dzulkarnaen, Zambrano, Diego A., Zampitis, Nikolaos, Zampogna, Biagio, Zanghã, Simone, Zapsalis, Konstantinos, Zattoni, Fabio, Zese, Monica, Farre, Silvia Pãrez, Pegoraro, Veronica, Zantedeschi, Maristella, Reitano, Elisa, Pizzocaro, Erica, Cobianchi, L, Dal Mas, F, Agnoletti, V, Ansaloni, L, Biffl, W, Butturini, G, Campostrini, S, Catena, F, Denicolai, S, Fugazzola, P, Martellucci, J, Massaro, M, Previtali, P, Ruta, F, Venturi, A, Woltz, S, Kaafarani, H, Loftus, T, Aapoaylu, R, Abbott, K, Abdelmalik, A, Abebe, N, Abu-Zidan, F, Adam, Y, Adamou, H, Adamovich, D, Agresta, F, Agrusa, A, Akin, E, Alessiani, M, Alexandrino, H, Bidoli, C, Ali, S, Mihai, V, Almeida, P, Al-Shehari, M, Altomare, M, Amico, F, Ammendola, M, Andreuccetti, J, Anestiadou, E, Annicchiarico, A, Antonelli, A, Aparicio-Sanchez, D, Ardito, A, Argenio, G, Arvieux, C, Askevold, I, Atanasov, B, Augustin, G, Awad, S, Bacchiocchi, G, Bagnoli, C, Bahouth, H, Baili, E, Bains, L, Baiocchi, G, Bala, M, Balaguacopyright, C, Balalis, D, Baldini, E, Baraket, O, Baral, S, Barone, M, Gonzalez Barranquero, A, Barreras, J, Bass, G, Bayhan, Z, Bellanova, G, Ben-Ishay, O, Bert, F, Bianchi, V, Biancuzzi, H, Radulescu, R, Bignell, M, Biloslavo, A, Bini, R, Bissacco, D, Boati, P, Boddaert, G, Bogdanic, B, Bombardini, C, Bonavina, L, Bonomo, L, Bottari, A, Bouliaris, K, Brachini, G, Brillantino, A, Brisinda, G, Bulanauca, M, Buonomo, L, Burcharth, J, Buscemi, S, Calabretto, F, Calini, G, Calu, V, Campanile, F, Campo Dall'Orto, R, Campos-Serra, A, Carvas, J, Cascella, M, Pattacini, G, Celentano, V, Centonze, D, Ceresoli, M, Chatzipetris, D, Chessa, A, Chiarello, M, Chirica, M, Chooklin, S, Chouliaras, C, Chowdhury, S, Cianci, P, Cillara, N, Cimbanassi, S, Cioffi, S, Colais-Ruiz, E, Colak, E, Conti, L, Coppola, A, de Sa, T, Costa, S, Cozza, V, Curro', G, Dabekaussen, K, D'Acapito, F, Damaskos, D, D'Ambrosio, G, Das, K, Davies, R, de Beaux, A, De Lebrusant Fernandez, S, De Luca, A, De Simone, B, De Stefano, F, Degrate, L, Demetrashvili, Z, Demetriades, A, Detanac, D, Dezi, A, Di Buono, G, Carlo, I, Di Lascio, P, Di Martino, M, Di Saverio, S, Diaconescu, B, Diaz, J, Dibra, R, Dimitrov, E, Dinuzzi, V, Dios-Barbeito, S, Diyani, J, Dogjani, A, Domanin, M, D'Oria, M, Munoz-Cruzado, V, East, B, Ekelund, M, Ekwen, G, Elbaih, A, Elhadi, M, Enninghorst, N, Ernisova, M, Escalera-Antezana, J, Esposito, S, Esposito, G, Estaire-Gamez, M, Fara, C, Farre, R, Favi, F, Ferrario, L, Ferrario di Tor Vajana, A, Filisetti, C, Fleres, F, Fonseca, V, Forero-Torres, A, Forfori, F, Fortuna, L, Fradelos, E, Fraga, G, Fransvea, P, Frassini, S, Frazzetta, G, Frigerio, I, Frountzas, M, Gachabayov, M, Galeiras, R, Garcaa, B, Garcia Vazquez, A, Gargarella, S, Garzali, I, Ghannam, W, Ghazi, F, Gillman, L, Gioco, R, Giordano, A, Giordano, L, Giove, C, Giraudo, G, Giuffrida, M, Capponi, M, Gois, E, Gomes, C, Gomes, F, Gonsaga, R, Gonullu, E, Goosen, J, Goranovic, T, Gracia-Roman, R, Graziano, G, Griffiths, E, Guagni, T, Hadzhiev, D, Haidar, M, Hamid, H, Hardcastle, T, Hayati, F, Healey, A, Hecker, A, Hecker, M, Garcia, E, Hodonou, A, Huaman, E, Huerta, M, Ibrahim, A, Ibrahim, B, Ietto, G, Inama, M, Ioannidis, O, Isik, A, Ismail, N, Ismail, A, Jailani, R, Jang, J, Kalfountzos, C, Kalipershad, S, Kaouras, E, Kaplan, L, Kara, Y, Karamagioli, E, Karamarkovia, A, Katsaros, I, Kavalakat, A, Kechagias, A, Kenig, J, Kessel, B, Khan, J, Khokha, V, Kim, J, Kirkpatrick, A, Klappenbach, R, Kobe, Y, Lymperis, E, Kok, K, Kong, V, Korkolis, D, Koukoulis, G, Kovacevic, B, Kruger, V, Kryvoruchko, I, Kurihara, H, Kuriyama, A, Landaluce-Olavarria, A, Lapolla, P, Licari, L, Lisi, G, Litvin, A, Lizarazu, A, Bayo, H, Lohsiriwat, V, Moreira, C, Lostoridis, E, Luna, A, Luppi, D, V, G, Maegele, M, Maggiore, D, Magnone, S, Maier, R, Major, P, Manangi, M, Manetti, A, Mantoglu, B, Marafante, C, Mariani, F, Marinis, A, Mariot, E, Marseglia, G, Martanez-Parez, A, Martines, G, Perez, A, Martino, C, Mascagni, P, Massalou, D, Mataas-Garcaa, B, Mazzarella, G, Mazzarolo, G, Melo, R, Mendoza-Moreno, F, Meric, S, Meyer, J, Miceli, L, Michalopoulos, N, Milana, F, Mingoli, A, Mishra, T, Mohamed, M, Mohamedahmed, A, Mohammed, M, Mohan, R, Moore, E, Morales-Garcia, D, Muhrbeck, M, Mulita, F, Mustafa, S, Muttillo, E, Naimzada, M, Navsaria, P, Negoi, I, Nespoli, L, Nguyen, C, Nidaw, M, Nigri, G, Nikolopoulos, I, O'Connor, D, Ogundipe, H, Oliveri, C, Olmi, S, Ong, E, Orecchia, L, Osipov, A, Othman, M, Pace, M, Pacilli, M, Pagani, L, Palomba, G, Pantalone, D, Panyko, A, Paolillo, C, Papa, M, Papaconstantinou, D, Papadoliopoulou, M, Papadopoulos, A, Papis, D, Pararas, N, Parreira, J, Parry, N, Pata, F, Patel, T, Paterson-Brown, S, Pavone, G, Pecchini, F, Pellino, G, Pelloni, M, Peloso, A, del Pozo, E, Pereira, R, Pereira, B, Perra, T, Perrone, G, Pesce, A, Petagna, L, Petracca, G, Phupong, V, Picardi, B, Picciariello, A, Piccoli, M, Piccolo, D, Picetti, E, Pikoulis Pikoulis, E, Pintar, T, Pirozzolo, G, Piscioneri, F, Podda, M, Porcu, A, Privitera, F, Punzo, C, Quaresima, S, Quiodettis, M, Qvist, N, Rahim, R, de Almeida, F, Ramely, R, Rasa, H, Reichert, M, Reinisch-Liese, A, Renne, A, Riccetti, C, Rodriguez-Luna, M, Roizblatt, D, Romanzi, A, Romeo, L, Roscio, F, Rosnelifaizur, R, Rossi, S, Rubiano, A, Ruiz-Ascar, E, Sakakushev, B, Salamea, J, Sall, I, Samarakoon, L, Sammartano, F, Arteaga, A, Sanchez-Cordero, S, Santoanastaso, D, Sasia, D, Sato, N, Savchuk, A, Sawyer, R, Scaioli, G, Schizas, D, Sebastiani, S, Seeliger, B, Lohse, H, Seretis, C, Sermonesi, G, Serradilla-Martin, M, Shelat, V, Shlyapnikov, S, Sidiropoulos, T, Simoes, R, Siragusa, L, Siribumrungwong, B, Slavchev, M, Solaini, L, Soldini, G, Sopuev, A, Soreide, K, Sovatzidis, A, Stahel, P, Strickland, M, Sultan, M, Sydorchuk, R, Sydorchuk, L, Syed, S, Syed, A, Tallon-Aguilar, L, Tamburini, A, Tamini, N, Tan, E, Tan, J, Tarasconi, A, Tartaglia, N, Tartaglia, G, Tartaglia, D, Taylor, J, Tebala, G, Teuben, M, Theodorou, A, Tolonen, M, Tomasicchio, G, Toro, A, Torre, B, Triantafyllou, T, Trigiante Trigiante, G, Tripepi, M, Trostchansky, J, Tsekouras, K, Turrado-Rodriguez, V, Tutino, R, Uccelli, M, Uchikov, P, Ugarte-Sierra, B, Ukkonen, M, Vailas, M, Vassiliu, P, Vazquez, A, Vazquez, R, Verde, J, Veroux, M, Vigano, J, Vilallonga, R, Visconti, D, Vittori, A, Waledziak, M, Wannatoop, T, Widmer, L, Wilson, M, Wong, T, Xenaki, S, Yu, B, Yule, S, Zachariah, S, Zacharis, G, Zaghi, C, Zakaria, A, Zambrano, D, Zampitis, N, Zampogna, B, Zangha, S, Zapsalis, K, Zattoni, F, Zese, M, Farre, S, Pegoraro, V, Zantedeschi, M, Reitano, E, Pizzocaro, E, Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), and The Team Dynamics Study Group

Subjects
Settore SECS-P/10 - Organizzazione Aziendale, Settore MED/18 - Chirurgia Generale, Settore SECS-P/07 - Economia Aziendale, Emergency Medicine, Clinical decision-making, Patient-centric care, Shared decision-making, Survey, Trauma and emergency surgery, Surgery, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Background Shared decision-making (SDM) between clinicians and patients is one of the pillars of the modern patient-centric philosophy of care. This study aims to explore SDM in the discipline of trauma and emergency surgery, investigating its interpretation as well as the barriers and facilitators for its implementation among surgeons. Methods Grounding on the literature on the topics of the understanding, barriers, and facilitators of SDM in trauma and emergency surgery, a survey was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was sent to all 917 WSES members, advertised through the society’s website, and shared on the society’s Twitter profile. Results A total of 650 trauma and emergency surgeons from 71 countries in five continents participated in the initiative. Less than half of the surgeons understood SDM, and 30% still saw the value in exclusively engaging multidisciplinary provider teams without involving the patient. Several barriers to effectively partnering with the patient in the decision-making process were identified, such as the lack of time and the need to concentrate on making medical teams work smoothly. Discussion Our investigation underlines how only a minority of trauma and emergency surgeons understand SDM, and perhaps, the value of SDM is not fully accepted in trauma and emergency situations. The inclusion of SDM practices in clinical guidelines may represent the most feasible and advocated solutions.

Published
2023

13. Hydrosaline Balance in and Nitrogen Loads from an irrigation district before and after modernization

Author

Jiménez-Aguirre, M.T. and Isidoro, D.

Abstract

The stress on water resources and the need to maintain water quality and to protect the environment push for an efficient use of natural resources: irrigation water and nutrients (particularly nitrogen). Traditional surface irrigation areas (frequently located on saline materials) use huge amounts of these resources, contributing to the degradation of water bodies by salts and nitrate loads in Irrigation Return Flows (IRF), and also to soil salinization when salt leaching is constrained. In this respect, 1.5 Mha of irrigated lands in Spain have been modernized recently to more efficient systems. Such is the case of the Violada Irrigation District (VID; 4880 ha; Northeast Spain) modernized from surface to sprinkler irrigation. The availability of historical data under both irrigation systems in VID offered an ideal scenario to analyze the impact of the modernization process on water consumption and nitrogen management. The analysis was based on the water and salt balances, which showed that irrigation modernization triggered an alteration of the hydrological regime of the VID controlled by the irrigation system. The transformation to sprinkler irrigation resulted in high quality non-diverted water savings of 5536 m3/ha yr (19 h m3/yr for the whole VID) available for other uses downstream, triggering a reduction of the IRF from the VID to the Ebro River. In general, the modernization has brought about a clear reduction of all flows in the water balance (except ETa), together with a slight increase in salt and nitrate concentrations in IRF. Both changes entailed a reduction in salt and nitrate loads of 11.5 Mg/ha yr (44, 889 Mg/yr; -60.4%) and 82.2 kg N/ha yr (301 Mg N/yr; -70.4%), respectively. The modernization also resulted in better water use and agronomic indices (drainage fraction, consumptive fraction and irrigation fraction). It was also concluded that at the moment, there is no risk of soil salinization in VID.

Published
2018

15. Italian experience in minimally invasive liver surgery: a national survey

Author

Aldrighetti, L, Belli, G, Boni, L, Cillo, U, Ettorre, G, De Carlis, L, Pinna, A, Casciola, L, Calise, F, Corrado, F, Federica, C, Francesca, R, Elisa, C, Enrico, G, Roberto, S, Stefano, D, Antonio, G, Paolo, R, Marcello, S, Mario, M, Marco, F, Giuseppe, N, Giorgio, E, Alberto, P, Lorenzo, C, Marco, C, Gennaro, N, Mario, G, Nicolo`, B, Maria di Ca`, S, Alberto, B, Giovanni, S, Maurizio, B, Elio, J, Marco, S, Francesco, C, Valle Raffaele, D, Michele, C, Riuniti, O, Pietro, M, Carmine Gianfranco, D, Alfredo, G, Isidoro, D, Salvatore, G, Adelmo, A, Goffredo, C, Vincenzo, S, Carlo, D, Piero, M, Aldrighetti, Luca, Belli, Giulio, Boni, Luigi, Cillo, Umberto, Ettorre, Giuseppe, De Carlis, Luciano, Pinna, Antonio, Casciola, Luciano, Calise, Fulvio, Corrado, Fantini, Federica, Cipriani, Francesca, Ratti, Elisa, Cassinotti, Enrico, Gringeri, Roberto, Santoro, Stefano, Di Sandro, Antonio, Giuliani, Paolo, Reggiani, Roberto, Santambrogio, Marcello, Spampinato, Mario, Morino, Marco, Filauro, Giuseppe, Navarra, Giorgio, Ercolani, Alberto, Patriti, Lorenzo, Capussotti, Marco, Casaccia, Gennaro, Nuzzo, Mario, Guerrieri, Nicolo`, Bassi, Maria di Ca`, S., Alberto, Brolese, Giovanni, Sgroi, Maurizio, Buonanno, Elio, Jovine, Marco, Spada, Francesco, Corcione, Valle Raffaele, Dalla, Michele, Colledan, Riuniti, Ospedali, Pietro, Mezzatesta, Carmine Gianfranco, Di Somma, Alfredo, Guglielmi, Isidoro, Di Carlo, Salvatore, Gruttadauria, Adelmo, Antonucci, Goffredo, Caldarera, Vincenzo, Scuderi, Carlo, De Werra, Piero, Maida, Aldrighetti, L, Belli, G, Boni, L, Cillo, U, Ettorre, G, De Carlis, L, Pinna, A, Casciola, L, Calise, F, Corrado, F, Federica, C, Francesca, R, Elisa, C, Enrico, G, Roberto, S, Stefano, D, Antonio, G, Paolo, R, Marcello, S, Mario, M, Marco, F, Giuseppe, N, Giorgio, E, Alberto, P, Lorenzo, C, Marco, C, Gennaro, N, Mario, G, Nicolo`, B, Maria di Ca`, S, Alberto, B, Giovanni, S, Maurizio, B, Elio, J, Marco, S, Francesco, C, Valle Raffaele, D, Michele, C, Riuniti, O, Pietro, M, Carmine Gianfranco, D, Alfredo, G, Isidoro, D, Salvatore, G, Adelmo, A, Goffredo, C, Vincenzo, S, Carlo, D, Piero, M, Aldrighetti, Luca, Belli, Giulio, Boni, Luigi, Cillo, Umberto, Ettorre, Giuseppe, De Carlis, Luciano, Pinna, Antonio, Casciola, Luciano, Calise, Fulvio, Corrado, Fantini, Federica, Cipriani, Francesca, Ratti, Elisa, Cassinotti, Enrico, Gringeri, Roberto, Santoro, Stefano, Di Sandro, Antonio, Giuliani, Paolo, Reggiani, Roberto, Santambrogio, Marcello, Spampinato, Mario, Morino, Marco, Filauro, Giuseppe, Navarra, Giorgio, Ercolani, Alberto, Patriti, Lorenzo, Capussotti, Marco, Casaccia, Gennaro, Nuzzo, Mario, Guerrieri, Nicolo`, Bassi, Maria di Ca`, S., Alberto, Brolese, Giovanni, Sgroi, Maurizio, Buonanno, Elio, Jovine, Marco, Spada, Francesco, Corcione, Valle Raffaele, Dalla, Michele, Colledan, Riuniti, Ospedali, Pietro, Mezzatesta, Carmine Gianfranco, Di Somma, Alfredo, Guglielmi, Isidoro, Di Carlo, Salvatore, Gruttadauria, Adelmo, Antonucci, Goffredo, Caldarera, Vincenzo, Scuderi, Carlo, De Werra, and Piero, Maida

Abstract

This survey provides an overview about current spread of Minimally Invasive Liver Resection (MILR) in Italy. Primary endpoint was to assess evolution of MILR in recent years and its degree of application among centres with different experience in laparoscopic and hepatic surgery. A questionnaire with items describing activity MILR was sent to Italian surgical centers. Diagnosis, technical approaches, resection extent, devices and vascular control, reasons for conversion, morbidity and mortality were recorded. Level of expertise per centre was analysed in terms of learning curve acquisition and relationship with hepatobiliary background. 1497 MILRs from 39 centers (median 27 patients/center, range 1–145, period 1995–2012) were collected. Conversion rate was 10.7 % (180 patients out of 1677, excluded from subsequent analysis), with bleeding representing most frequent cause of conversion (34.4 %). Eleven centers completed learning curve, performing >60 MILR. Benign lesions were 27.5 % and malignant 72.5 %, with hepatocellular carcinoma being the most frequent indication. 92.6 % of cases were performed with a totally laparoscopic technique (1.3 % were hand-assisted, 1.9 % single-port and 4.2 % robotic). Minor resections accounted for 92.9 % (left lateral sectionectomy resulted the most frequent procedure; 23.8 %), while major resections represented 7.1 %. Overall mortality was 0.2 % (3 of 1497 patients) and morbidity 22.8 %. Mean length of stay was 5 days. Correlation between MILR activity and a hepatobiliary background was not clear comparing MILR cases and liver resection volumes per center. MILR has been significantly widespread in Italy in recent years, with several centers having definitely completed the learning curve as attested by clinical results consistent with major series from the Western and Eastern countries. MILR programs in Italy seem to arise from both centers with specific hepatob

Published
2015

16. INFLUENCIA DE LA PARTE AEREA DE MANIHOT FLABELLIFOLIA EN LA FORMACION DE RAICES RESERVANTES DE MANIHOT ESCULENTA UTILIZADO COMO PIE

Author

Isidoro D Mogilner, J D Portuguez Arias, A D Gotuzzo, and José Antonio Acosta

Subjects
Botany, QK1-989
Abstract

En injertos recíprocos de Manihot flabellifolia y Manihot esculenta se demostró que el injerto M. fabellifolia / M. escuulenta (IvIf / Me) produce mayor cantidad de raíces reservantes con mayor peso seco que el que forma el testigo Manihot esculenta El injerto Manihot esculenta / Manihot flabellifolia (Me / Mf) no forma raíces, reservantes. Su sistema radicular es igual al del testigo Manihot flabellifolia.Se (!studiaron las causas que inciden en la mayor cantidad de raíces reservantes y en su mayor peso seco en el injerto (Mf IMe). Para ello a los 60, 75, 90, 110, 130 y 155 días después del injerto, se hicieron las siguientes determinaciones en el injerto y en la mandioca: superficie foliar; peso seco de las hojas, tallos, raíces comunes y raíces reservantes y se midió tamblén la intensidad de respiratoria de las hojas. Los resultados indicaron que la mandioca forma una mayor superficie foliar y tiene una mayor intensidad fotosintética que el injerto; que la intensidad respiratoria de las hojas de mandioca es superior a la intensidad respiratoria de las hojas del injerto; pero que el injerto traslada mayor cantidad de sustancias fotosintetizadas a las raíces reservantes que lamandioca. Los resultados obtenidos son estadísticamente significativos.El mayor número de raíces reservantes que forma el injerto quizá sea debido a que la parte aérea del injerto forma mayor cantidad de sustancia (hormona?) que el testigo mandioca.

Published
1967

17. Maskana. Revista científica

Author

Vázquez, R. F., Isidoro, D., Sayah, B., Universidad de Cuenca, DIUC, and Dirección de Investigación de la Universidad de Cuenca

Subjects
Riego Por Fajas, Hydrus-1d, Simulaciones Monte Carlo, Zona Vadosa
Abstract

HYDRUS-1D, un modelo unidimensional de movimiento de agua y transporte de solutos, se utilizó en el contexto de un evento de riego por fajas en una parcela de alfalfa ubicada en el polígono de riego de "La Violada" (España) a fin de analizar la interacción suelo-planta-agua en la zona no saturada del suelo. El evento de riego se monitoreó para derivar información adecuada para establecer el modelo numérico de la zona de estudio así como para evaluarlo. El protocolo de modelización, de carácter determinista-estocástico, incluyó calibración, evaluación y análisis de sensibilidad. Tanto las predicciones del modelo como los datos de campo revelaron que el contenido de humedad del suelo fue alto durante el período de monitoreo; el modelo inclusive predijo un decrecimiento pequeño de la evapotranspiración inducido por el humedecimiento significativo del suelo, y la contribución importante al balance de agua del ascenso capilar como consecuencia del ascenso del nivel freático causado por el riego previo en la parcela adyacente. Los resultados de la presente modelización sugieren la necesidad de mejorar la definición del modelo numérico de la zona no saturada y de las respectivas condiciones de contorno. Para ello, el estudio reveló la necesidad de (i) generar mejores valores experimentales para algunos de los parámetros más importantes del modelo; y (ii) obtener series temporales más precisas para las condiciones de frontera superiores e inferiores. HYDRUS-1D, a one dimensional water movement and solute transport model, was applied to analyze a border irrigation event in an alfalfa plot located in the irrigation district of "La Violada" (Spain). The research encompassed monitoring of the irrigation event, the setting-up of the numerical model, model calibration and evaluation, and sensitivity analysis of the van Genuchten-Mualem parameters. Both the model predictions and field measurements clearly indicated that the soil water content was high during and following the irrigation event. The model even predicted a small evapotranspiration decrease induced by water logging and a significant contribution of capillary rise subsequently the water table rise in the adjacent plot caused by an irrigation event prior to the monitored event in the study plot. The research revealed the need for (i) the improvement of the schematization of the soil profile and the better experimental definition of key model parameters; and (ii) the derivation of more accurate data series for respectively the upper and lower boundary conditions Cuenca volumen 4; número 1 (junio 2013)

Published
2013

18. Modeling the unsaturated flow associated with a border irrigation event on an alfalfa plot

Author

Vázquez, R. F., Isidoro, D., Sayah, B., Universidad de Cuenca, DIUC, Dirección de Investigación de la Universidad de Cuenca, Vázquez, R. F., Isidoro, D., Sayah, B., Universidad de Cuenca, DIUC, and Dirección de Investigación de la Universidad de Cuenca

Abstract

HYDRUS-1D, a one dimensional water movement and solute transport model, was applied to analyze a border irrigation event in an alfalfa plot located in the irrigation district of "La Violada" (Spain). The research encompassed monitoring of the irrigation event, the setting-up of the numerical model, model calibration and evaluation, and sensitivity analysis of the van Genuchten-Mualem parameters. Both the model predictions and field measurements clearly indicated that the soil water content was high during and following the irrigation event. The model even predicted a small evapotranspiration decrease induced by water logging and a significant contribution of capillary rise subsequently the water table rise in the adjacent plot caused by an irrigation event prior to the monitored event in the study plot. The research revealed the need for (i) the improvement of the schematization of the soil profile and the better experimental definition of key model parameters; and (ii) the derivation of more accurate data series for respectively the upper and lower boundary conditions

Published
2013

20. Comparison of OMI NO2 tropospheric columns with an ensemble of global and European regional air quality models

Author

Huijnen, V., Eskes, H.J., Poupkou, A., Elbern, H., Boersma, K.F., Foret, G., Sofiev, M., Valdebenito, A, Flemming, J., Stein, O., Gross, A., Robertson, L., Isidoro, D', M., Kioutsioukis, I., Friese, E., Amstrup, B., Bergstrom, R., Strunk, A., Vira, J., Zyryanov, D., Maurizi, A., Melas, D., Peuch, V.-H., Zerefos, C., Huijnen, V., Eskes, H.J., Poupkou, A., Elbern, H., Boersma, K.F., Foret, G., Sofiev, M., Valdebenito, A, Flemming, J., Stein, O., Gross, A., Robertson, L., Isidoro, D', M., Kioutsioukis, I., Friese, E., Amstrup, B., Bergstrom, R., Strunk, A., Vira, J., Zyryanov, D., Maurizi, A., Melas, D., Peuch, V.-H., and Zerefos, C.

Abstract

We present a comparison of tropospheric NO2 from OMI measurements to the median of an ensemble of Regional Air Quality (RAQ) models, and an intercomparison of the contributing RAQ models and two global models for the period July 2008–June 2009 over Europe. The model forecasts were produced routinely on a daily basis in the context of the European GEMS ("Global and regional Earth-system (atmosphere) Monitoring using Satellite and in-situ data") project. The tropospheric vertical column of the RAQ ensemble median shows a spatial distribution which agrees well with the OMI NO2 observations, with a correlation r=0.8. This is higher than the correlations from any one of the individual RAQ models, which supports the use of a model ensemble approach for regional air pollution forecasting. The global models show high correlations compared to OMI, but with significantly less spatial detail, due to their coarser resolution. Deviations in the tropospheric NO2 columns of individual RAQ models from the mean were in the range of 20–34% in winter and 40–62% in summer, suggesting that the RAQ ensemble prediction is relatively more uncertain in the summer months. The ensemble median shows a stronger seasonal cycle of NO2 columns than OMI, and the ensemble is on average 50% below the OMI observations in summer, whereas in winter the bias is small. On the other hand the ensemble median shows a somewhat weaker seasonal cycle than NO2 surface observations from the Dutch Air Quality Network, and on average a negative bias of 14%. Full profile information was available for two RAQ models and for the global models. For these models the retrieval averaging kernel was applied. Minor differences are found for area-averaged model columns with and without applying the kernel, which shows that the impact of replacing the a priori profiles by the RAQ model profiles is on average small. However, the contrast between major hotspots and rural areas is stronger for the direct modeled vertical columns

Published
2010

34. STATISTICAL BEHAVIOR OF MONTHLY LOAD ESTIMATORS.

Author

Lorenzo-Gonzalez, M. A., Quilez, D., and Isidoro, D.

Subjects
WATER pollution, IRRIGATION, WATER quality, AGRICULTURE, BODIES of water
Abstract

Agricultural activities are important contributors to the pollution of water bodies. In this context, the establishment of relationships between changes in irrigation and agricultural practices and pollutant loads over long periods may help to diagnose the agriculture-related factors with higher influence on water quality. To this end, the first step is to generate robust, long-term pollutant load series with the available data. This article aims to ascertain the statistical performance of five mean monthly salt (MS) and nitrate (MN) load estimators based on the long-term records of the Surface Water Quality Control (SWQ) network of the Ebro Basin Authority (CHE) in Spain. The five loads estimates were compared with reference loads calculated with the more complete, daily frequency data of the irrigation return flows network (Recor-Ebro, or R-E) available at a sampling point on the Arba River at Tauste for the period April 2004 to September 2010. Three interpolation methods that make use of total dissolved solids (TDSswq) and nitrate concentrations (NO3swq) of samples taken once a month in the SWQ network were multiplied by flows at the sampling time (Qswq), mean daily flow of the sampling day (Qd), and mean monthly flow (Qm). Two regression-based methods established the relationships between flow and TDS and between TDS and NO3 concentration to estimate daily and monthly TDS and NO3 concentrations, which were then multiplied by mean daily flow (Qd) or mean monthly flow (Qm), respectively, to estimate loads. Six statistical indexes were used to determine the fit of the five proposed methods to the reference load: the coefficient of determination (R²), mean bias (MB), root mean square error (RMSE), mean absolute error (MAE), Nash-Sutcliffe efficiency (NSE), and Nash-Sutcliffe efficiency modified (E1). Mean bias was not significant for the five MS and MN estimators (<7.5%), but the other statistical indexes showed different behavior for the MS and MN estimators. The RMSE and MAE were in general higher for the MS interpolation methods (RMSE ≈ 6,000 to 11,000 Mg per month; MAE ≈ 4,000 to 7,000 Mg per month) than for the regression-based methods (RMSE ≈ 5,000 Mg per month; MAE ≈ 4,000 Mg per month). The errors for the MN estimators were similar for the regression and interpolation methods when using the mean monthly flow or mean daily flow of the sample day (RMSE ≈ 30 Mg per month; MAE ≈ 20 Mg per month). The NSE and E1 for the three interpolation methods for MS were not satisfactory (NSE < 0.5; E1 < 0.3), while the interpolation methods for MN using daily or monthly average flow presented satisfactory NSE and E1 values (NSE > 0.5; E1 > 0.3), performing just as well as the regression methods. For the short period analyzed (six years), regression-based estimators presented the best reliability for the estimation of monthly salt and nitrate loads, along with interpolation methods that applied the mean daily flow (Qd) or mean monthly flow (Qm) for the estimation of monthly nitrate loads, provided that the data series were complete. [ABSTRACT FROM AUTHOR]

Published
2013
Full Text
View/download PDF

37. Modeling Survival of Young Olive Trees (Olea europaeaL. cv. Arbequina) in Saline and Waterlogging Field Conditions

Author

Isidoro, D. and Aragüés, R.

Abstract

As the pressure to use marginal or low‐quality lands for crop production increases, it becomes increasingly necessary to determine the influence of stress factors such as salinity or waterlogging on crop growth and yield. This paper models the survival of olive trees (Olea europaeaL. cv. Arbequina) under salinity and waterlogging field conditions. The effects of soil salinity [electrical conductivity of the saturation extract (ECe)] and waterlogging [relative ground elevation (RGE) and water table depth (WTD)] on the survival of 338 young olive trees were analyzed by logistic regression. The logit and probit models based on ECe, RGE, and WTD and their interactions were fitted to the data. Also, a nonlinear regression with 100% probability of olive survival (P) below a first ECe limit, 0% Pabove a second ECe limit, and a linear decrease in between (threshold‐slope regression model) was fitted to the ECe data. The ECe and RGE were the two factors significantly affecting olive survival. The ECe was 7.7 dS m−1for P= 50% (estimated median lethal ECe) and 3.7 dS m−1for P= 95%. The threshold‐slope model ECe estimates were 5.0 dS m−1(upper threshold for unrestricted survival or P= 100%) and 10.3 dS m−1(lower limit for the nonsurvival or P= 0%). Young olive trees were moderately tolerant to soil salinity, and their Punder saline conditions was satisfactorily explained by both the logistic and the threshold‐slope regression models.

Published
2006
Full Text
View/download PDF

38. LA ABSORCION DE N. P. K. y Ca, POR EL ALGODONERO CULTIVADO EN BAJA INTENSIDAD LUMINICA

Author

Orlando F Pilatti, Baldemar Myndel Turn, Isidoro D Mogilner, and José Antonio Acosta

Subjects
lcsh:Botany, Genetics, Plant Science, Biochemistry, Genetics and Molecular Biology (miscellaneous), Ecology, Evolution, Behavior and Systematics, lcsh:QK1-989
Abstract

1. Se estudió la absorción de N, P, K y Ca durante el período vegetativo del algodonero.2. Las plantas crecieron en macetas cilíndricas de 0,50 m de alto por 0,30 m de diámetro, con 30 kg de tierra. La humedad fue mantenida entre 60 y 70 % ¿e capacidad de campo. Las - macetas estaban en un cuarto de- crecimiento y recibían una intensidad lumínica de aproximadamente 4.500 luxes y un fotoperíodo de 12 horas.3. Los análisis de las plantas se hicieron en distintas fases fenológicas, analizándose individualmente cada planta y las hojas secas, pimpollos, flores y frutos caídos de la misma.4. Los resultados obtenidos demuestran que en el subperíodo comprendido entre germinaci.ón y aparición de los primeros pimpollos florales (68 días), la acumulación de materia seca y de N, P, K y Ca fue muy pequeña en relación a la que se produce en los siguientes subperíodos; pero hubo un incremento notable si se compara con el contenido de esos elementos y el peso seco que tenía la semilla.En el subperíodo comprendido entre aparición de primeros pimpollos florales a (-'omienzo de fructificación (42 días), hubo un incremento, expresado en % del máximo hallado en todo el período vegetativo, de 31,60 para peso seco; de 48,10 para N; de 17,50 para P; de 18,60 para K y de 21,00 para Ca. En el tercer subperíodo, que abarcó de comienzo de fructificación a terminación del período vegetativo (106 días), en plantas con 12-13 frutos maduros, los incrementos fueron: 63,00 % para materia seca; 47,10 para N; 77,80 para P; 77,40 para K y 68,00 para Ca.5. Se propone un plan de abonado del algodonero.

Published
1965

40. Italian experience in minimally invasive liver surgery: a national survey

Author

Aldrighetti, Luca, Belli, Giulio, Boni, Luigi, Cillo, Umberto, Ettorre, Giuseppe, De Carlis, Luciano, Pinna, Antonio, Casciola, Luciano, Calise, Fulvio, Corrado, Fantini, Federica, Cipriani, Francesca, Ratti, Elisa, Cassinotti, Enrico, Gringeri, Roberto, Santoro, Stefano, Di Sandro, Antonio, Giuliani, Paolo, Reggiani, Roberto, Santambrogio, Marcello, Spampinato, Mario, Morino, Marco, Filauro, Giuseppe, Navarra, Giorgio, Ercolani, Alberto, Patriti, Lorenzo, Capussotti, Marco, Casaccia, Gennaro, Nuzzo, Mario, Guerrieri, Nicolo`, Bassi, Maria di Ca`, S., Alberto, Brolese, Giovanni, Sgroi, Maurizio, Buonanno, Elio, Jovine, Marco, Spada, Francesco, Corcione, Valle Raffaele, Dalla, Michele, Colledan, Riuniti, Ospedali, Pietro, Mezzatesta, Carmine Gianfranco, Di Somma, Alfredo, Guglielmi, Isidoro, Di Carlo, Salvatore, Gruttadauria, Adelmo, Antonucci, Goffredo, Caldarera, Vincenzo, Scuderi, Carlo, De Werra, Piero, Maida, Aldrighetti, L, Belli, G, Boni, L, Cillo, U, Ettorre, G, De Carlis, L, Pinna, A, Casciola, L, Calise, F, Corrado, F, Federica, C, Francesca, R, Elisa, C, Enrico, G, Roberto, S, Stefano, D, Antonio, G, Paolo, R, Marcello, S, Mario, M, Marco, F, Giuseppe, N, Giorgio, E, Alberto, P, Lorenzo, C, Marco, C, Gennaro, N, Mario, G, Nicolo`, B, Maria di Ca`, S, Alberto, B, Giovanni, S, Maurizio, B, Elio, J, Marco, S, Francesco, C, Valle Raffaele, D, Michele, C, Riuniti, O, Pietro, M, Carmine Gianfranco, D, Alfredo, G, Isidoro, D, Salvatore, G, Adelmo, A, Goffredo, C, Vincenzo, S, Carlo, D, Piero, M, Aldrighetti, Luca, Belli, Giulio, Boni, Luigi, Cillo, Umberto, Ettorre, Giuseppe, De Carlis, Luciano, Pinna, Antonio, Casciola, Luciano, Calise, Fulvio, Corrado, Fantini, Federica, Cipriani, Francesca, Ratti, Elisa, Cassinotti, Enrico, Gringeri, Roberto, Santoro, Stefano, Di Sandro, Antonio, Giuliani, Paolo, Reggiani, Roberto, Santambrogio, Marcello, Spampinato, Mario, Morino, Marco, Filauro, Navarra, GIUSEPPE MARIA ANTONIO, Giorgio, Ercolani, Alberto, Patriti, Lorenzo, Capussotti, Marco, Casaccia, Nuzzo, Gennaro, Mario, Guerrieri, Nicolo`, Bassi, Maria di Ca`, S., Alberto, Brolese, Sgroi, Giovanni, Maurizio, Buonanno, Elio, Jovine, Marco, Spada, Corcione, Francesco, Valle Raffaele, Dalla, Michele, Colledan, Riuniti, Ospedali, Pietro, Mezzatesta, Carmine Gianfranco, Di Somma, Alfredo, Guglielmi, Isidoro, Di Carlo, Salvatore, Gruttadauria, Adelmo, Antonucci, Goffredo, Caldarera, Scuderi, Vincenzo, DE WERRA, Carlo, and Piero, Maida

Subjects
Laparoscopic surgery, Liver surgery, Male, medicine.medical_specialty, Carcinoma, Hepatocellular, Hepatectomy, Laparoscopy, Liver, Liver resection, Minimally invasive, Survey, Attitude of Health Personnel, Cross-Sectional Studies, Female, Humans, Italy, Learning Curve, Liver Neoplasms, Minimally Invasive Surgical Procedures, Risk Assessment, Treatment Outcome, Clinical Competence, Surveys and Questionnaires, Cross-sectional study, medicine.medical_treatment, Surgery, medicine, Clinical endpoint, Surveys and Questionnaire, Cross-Sectional Studie, medicine.diagnostic_test, business.industry, General surgery, Minimally Invasive Surgical Procedure, medicine.disease, Liver Neoplasm, Hepatocellular carcinoma, business, Risk assessment, Human
Abstract

This survey provides an overview about current spread of Minimally Invasive Liver Resection (MILR) in Italy. Primary endpoint was to assess evolution of MILR in recent years and its degree of application among centres with different experience in laparoscopic and hepatic surgery. A questionnaire with items describing activity MILR was sent to Italian surgical centers. Diagnosis, technical approaches, resection extent, devices and vascular control, reasons for conversion, morbidity and mortality were recorded. Level of expertise per centre was analysed in terms of learning curve acquisition and relationship with hepatobiliary background. 1497 MILRs from 39 centers (median 27 patients/center, range 1–145, period 1995–2012) were collected. Conversion rate was 10.7% (180 patients out of 1677, excluded from subsequent analysis), with bleeding representing most frequent cause of conversion (34.4%). Eleven centers completed learning curve, performing >60 MILR. Benign lesions were 27.5% and malignant 72.5%, with hepatocellular carcinoma being the most frequent indication. 92.6% of cases were performed with a totally laparoscopic technique (1.3% were hand-assisted, 1.9% single-port and 4.2% robotic). Minor resections accounted for 92.9% (left lateral sectionectomy resulted the most frequent procedure; 23.8%), while major resections represented 7.1%. Overall mortality was 0.2% (3 of 1497 patients) and morbidity 22.8%. Mean length of stay was 5days. Correlation between MILR activity and a hepatobiliary background was not clear comparing MILR cases and liver resection volumes per center. MILR has been significantly widespread in Italy in recent years, with several centers having definitely completed the learning curve as attested by clinical results consistent with major series from the Western and Eastern countries. MILR programs in Italy seem to arise from both centers with specific hepatobiliary expertise and centers performing advanced general laparoscopic surgery.

Published
2015

41. Stent-armed kyphoplasty in osteoporotic thoracolumbar fractures-clinical and functional results and a center experience over 10 years.

Author

Moura DL, Isidoro D, Lourenço P, and Jardim C

Abstract

Background: The optimal treatment of osteoporotic vertebral fractures is still a controversial and under discussion topic. Armed kyphoplasty with expansive intravertebral implants is an emerging procedure, which, in theory, it not only makes it possible to achieve instant analgesia, and to get stabilization gains of benefits of kyphoplasty and vertebroplasty, but also, allows for a more effective maintenance of the restored vertebral height., Methods: A retrospective observational study is presented, in which 30 patients participated, including a total of 33 osteoporotic thoracolumbar compression burst vertebral fractures with involvement of one or both vertebral platforms and of more than one fifth of the posterior wall. These individuals underwent armed kyphoplasty with VBS ® stents (or stentoplasty) filled with bone cement over 10 years (between 2012 and 2022) at the same center. Clinical (visual analogue scale, Oswestry Disability Index and Patient Global Impression of Change) and imaging results (restoration and maintenance of vertebral body heights) achieved were investigated. The mean follow-up time was 4.5 years (range, 1-10 years)., Results: There was a statistically significant improvement in all clinical and functional parameters evaluated, as well as a statistically significant difference in the various vertebral body heights between preoperative and end of follow-up time [increase of 10.7-15.2-5.0 mm (anterior-median-posterior) in the sagittal plane and 6.7-11.6-9.7 mm (right-median-left) in the coronal plane]. There was a statistically significant direct correlation between vertebral heights in the coronal plane, and between the Beck index assessed at the end of the follow-up period and the improvement in functional disability., Conclusions: The percutaneous transpedicular posterior approach, the ability to anatomically restore the fractured vertebra and to maintain it in the medium-long term, as well as the reduced risk of adverse effects, make stent-armed kyphoplasty a very attractive treatment option for osteoporotic compressive thoracolumbar fractures. A clinical-morphological correlation was demonstrated regarding the surgical treatment of these fractures, it was found that a more effective morphological restoration of vertebral heights in both the sagittal and coronal planes is associated with superior satisfactory clinical functional parameters., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jss.amegroups.com/article/view/10.21037/jss-22-59/coif). The authors have no conflicts of interest to declare., (2022 Journal of Spine Surgery. All rights reserved.)

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results