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5. Role of fronto-limbic circuit in neuropsychiatric symptoms of dementia: clinical evidence from an exploratory study

Author

Cotta Ramusino, Matteo, primary, Imbimbo, Camillo, additional, Capelli, Marco, additional, Cabini, Raffaella Fiamma, additional, Bernini, Sara, additional, Lombardo, Francesca Paola, additional, Mazzocchi, Laura, additional, Farina, Lisa Maria, additional, Pichiecchio, Anna, additional, Perini, Giulia, additional, and Costa, Alfredo, additional

Published
2024
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6. Long-Term Impact of Severe Postoperative Complications after Esophagectomy for Cancer: Individual Patient Data Meta-Analysis

Author

Bona, Davide, primary, Manara, Michele, additional, Bonitta, Gianluca, additional, Guerrazzi, Guglielmo, additional, Guraj, Juxhin, additional, Lombardo, Francesca, additional, Biondi, Antonio, additional, Cavalli, Marta, additional, Bruni, Piero Giovanni, additional, Campanelli, Giampiero, additional, Bonavina, Luigi, additional, and Aiolfi, Alberto, additional

Published
2024
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8. coMpliAnce with evideNce-based cliniCal guidelines in the managemenT of acute biliaRy pancreAtitis): The MANCTRA-1 international audit

Author

Podda, Mauro, Gerardi, Chiara, Coccolini, Federico, di Saverio, Salomone, Pellino, Gianluca, Pata, Francesco, Ielpo, Benedetto, Virdis, Francesco, Damaskos, Dimitris, Gourgiotis, Stavros, Poillucci, Gaetano, Pacella, Daniela, Jayant, Kumar, Agresta, Ferdinando, Sartelli, Massimo, Leppaniemi, Ari, Riboni, Cristiana, Catena, Fausto, Kluger, Yoram, Pisanu, Adolfo, Giordano, Alessio, Ferrario, Luca, Calvo, Mikel Prieto, Wilson, Michael, Soggiu, Fiammetta, Hamdan, Alaa, Gomes, Carlos Augusto, Fraga, Gustavo, Ioannidis, Argyrios, De Simone, Belinda, Demetrashvili, Zaza, Sahani, Saaz, Bains, Lovenish, Khamees, Almu'atasim, Ababneh, Hazim, Aljaiuossi, Osama, Pimentel, Samuel, Mohamad, Ikhwan Sani, Yusoff, Ahmad Ramzi, Zarnescu, Narcis Octavian, Calu, Valentin, Litvin, Andrey, Lesko, Dusan, Elmehrath, Ahmed, Elshami, Mohamedraed, de Santibañes, Martin, Gundara, Justin, Alawadhi, Kamel, Lui, Rashid, Julianov, Alexander, Ralon, Sergio, Garzali, Ibrahim-Umar, Machain, Gustavo M., Quispe-Cruz, Darwin Artidoro, Orantia, Abigail Cheska C., Walędziak, Maciej, Correia de Sá, Tiago, Ali, Syed Muhammad, Kovacevic, Bojan, Noel, Colin, Abdalah, Haidar M., Kchaou, Ali, Isik, Arda, Ansaloni, Luca, Biffl, Walter, Guerrieri, Mario, Sartori, Alberto, Abradelo, Manuel, Nigri, Giuseppe, Di Lorenzo, Nicola, Mingoli, Andrea, Chiarugi, Massimo, Di Menno Stavron, Juliana, Mazza, Oscar, Valenzuela, José Ignacio, Pantoja Pachajoa, Diana Alejandra, Alvarez, Fernando Andrés, Liaño, Julian Ezequiel, Tefay, Joan, Alshaikh, Abdulrahman, Hasan, Layla, Augusto Gomes, Carlos, Gomes, Felipe Couto, Fraga, Gustavo P., Calderan, Thiago R.A., Hirano, Elcio S., Dardanov, Dragomir, Saroglu, Azize, Atanasov, Boyko, Belev, Nikolay, Kovachev, Nikola, Chan, Shannon Melissa, Lok, Hon-Ting, Salcedo, Diego, Robayo, Diana, Triviño, María Alejandra, Manak, Jan, de Araujo, Jorann, Sethi, Ananya, Awad, Ahmed, Elbadawy, Merihan, Farid, Ahmed, Hanafy, Asmaa, Nafea, Ahmed, Sherief-Ghozy, Salah – Abbas, Alzhraa, Abdelsalam, Wafaa, Emile, Sameh, Elfallal, Ahmed, Elfeki, Hossam, Elghadban, Hosam, Shoma, Ashraf, Shetiwy, Mohamed, Elbahnasawy, Mohamed, Mohamed, Salem, Hamed, Emad Fawzi, Khalil, Usama Ahmed, Chouillard, Elie, Gumbs, Andrew, Police, Andréa, Mabilia, Andrea, Khutsishvili, Kakhi, Tvaladze, Anano, Ioannidis, Orestis, Anestiadou, Elissavet, Loutzidou, Lydia, Konstantinidis, Konstantinis, Konstantinidou, Sofia, Manatakis, Dimitrios, Acheimastos, Vasileios, Tasis, Nikolaos, Michalopoulos, Nikolaos, Kokoropoulos, Panagiotis, Papadoliopoulou, Maria, Sotiropoulou, Maria, Kapiris, Stylianos, Metaxas, Panagiotis, Tsouknidas, Ioannis, Kefili, Despoina, Petrakis, George, Dakis, Konstantinos, Alexandridou, Eirini, Synekidou, Eirini, Dakis, Kostas, Papadopoulos, Aristeidis, Chouliaras, Christos, Mouzakis, Odysseas, Mulita, Francesk, Maroulis, Ioannis, Vailas, Michail, Triantafyllou, Tania, Theodorou, Dimitrios, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Tourountzi, Paraskevi, Baili, Efstratia, Charalabopoulos, Alexandros, Liakakos, Theodore, Schizas, Dimitrios, Kozadinos, Alexandros, Syllaios, Athanasios, Machairas, Nikolaos, Kykalos, Stylianos, Stamopoulos, Paraskevas, Delis, Spiros, Farazi-Chongouki, Christos, Kalaitzakis, Evangelos, Giannarakis, Miltiadis, Lasithiotakis, Konstantinos, Petra, Giorgia, Gupta, Amit, Medappil, Noushif, Muthukrishnan, Vijayanand, Kamar, Jubin, Lal, Pawan, Agarwal, Rajendra, Magnoli, Matteo, Aonzo, Paolo, Serventi, Alberto, Giuliani, Antonio, Di Lascio, Pierpaolo, Pinto, Margherita, Bergamini, Carlo, Bottari, Andrea, Fortuna, Laura, Martellucci, Jacopo, Cicako, Atea, Miglietta, Claudio, Morino, Mario, Delogu, Daniele, Picchetto, Andrea, Assenza, Marco, D'Ambrosio, Giancarlo, Argenio, Giulio, Armellino, Mariano Fortunato, Ioia, Giovanna, Occhionorelli, Savino, Andreotti, Dario, Domenico, Lacavalla, Luppi, Davide, Casadei, Massimiliano, Di Donato, Luca, Manoochehri, Farshad, Lucia Marchese, Tiziana Rita, Sergi, William, Manca, Roberto, Murgia, Raimondo, Piras, Enrico, Conti, Lorenzo, Gianazza, Simone, Rizzi, Andrea, Segalini, Edoardo, Monti, Marco, Iiritano, Elena, Mariani, Nicolò Maria, De Nicola, Enrico, Scifo, Giovanna, Pignata, Giusto, Andreuccetti, Jacopo, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Biloslavo, Alan, Germani, Paola, Mastronardi, Manuela, Bogoni, Selene, Palmisano, Silvia, De Manzini, Nicolo’, Marino, Marco Vito, Martines, Gennaro, Trigiante, Giuseppe, Lagouvardou, Elpiniki, Anania, Gabriele, Bombardini, Cristina, Oppici, Dario, Pilia, Tiziana, Murzi, Valentina, Gessa, Emanuela, Bracale, Umberto, Di Nuzzo, Maria Michela, Peltrini, Roberto, Salvetti, Francesco, Viganò, Jacopo, Sganga, Gabriele, Bianchi, Valentina, Fransvea, Pietro, Fontana, Tommaso, Sarro, Giuliano, Dinuzzi, Vincenza Paola, Scaravilli, Luca, Papa, Mario Virgilio, Jovine, Elio, Ciabatti, Giulia, Mastrangelo, Laura, Rottoli, Matteo, Ricci, Claudio, Russo, Iris Shari, Aiolfi, Alberto, Bona, Davide, Lombardo, Francesca, Cianci, Pasquale, Bini, Roberto, Chiara, Osvaldo, Cioffi, Stefano, Cantafio, Stefano, Coretti, Guido, Licitra, Edelweiss, Savino, Grazia, Grimaldi, Sergio, Porfidia, Raffaele, Moggia, Elisabetta, Garino, Mauro, Marafante, Chiara, Pesce, Antonio, Fabbri, Nicolò, Feo, Carlo Vittorio, Marra, Ester, Troian, Marina, Drigo, Davide, Nagliati, Carlo, Andrea, Muratore, Danna, Riccardo, Murgese, Alessandra, Crespi, Michele, Guerci, Claudio, Frontali, Alice, Ferrari, Luca, Favi, Francesco, Picariello, Erika, Rampini, Alessia, D'Acapito, Fabrizio, Ercolani, Giorgio, Solaini, Leonardo, Palmieri, Francesco, Calì, Matteo, Ferrara, Francesco, Muttillo, Irnerio Angelo, Muttillo, Edoardo Maria, Picardi, Biagio, Galleano, Raffaele, Badran, Ali, Ghazouani, Omar, Cervellera, Maurizio, Campanella, Gaetano, Papa, Gennaro, Di Bella, Annamaria, Perrone, Gennaro, Petracca, Gabriele Luciano, Prioriello, Concetta, Giuffrida, Mario, Cozzani, Federico, Rossini, Matteo, Inama, Marco, Butturini, Giovanni, Moretto, Gianluigi, Morelli, Luca, Di Candio, Giulio, Guadagni, Simone, Cicuttin, Enrico, Cremonini, Camilla, Tartaglia, Dario, Genovese, Valerio, Cillara, Nicola, Cannavera, Alessandro, Deserra, Antonello, Picciariello, Arcangelo, Papagni, Vincenzo, Vincenti, Leonardo, Bagaglini, Giulia, Sica, Giuseppe, Lapolla, Pierfrancesco, Brachini, Gioia, Bono, Dario, Nicotera, Antonella, Zago, Marcello, Sammartano, Fabrizio, Benuzzi, Laura, Stella, Marco, Rossi, Stefano, Cerioli, Alessandra, Puccioni, Caterina, Olmi, Stefano, Rubicondo, Carolina, Uccelli, Matteo, Balla, Andrea, Guida, Anna, Lepiane, Pasquale, Sasia, Diego, Giraudo, Giorgio, Salomone, Sara, Belloni, Elena, Cossa, Alessandra, Lancellotti, Francesco, Caronna, Roberto, Chirletti, Piero, Saullo, Paolina, Troiano, Raffaele, Mucilli, Felice, Barone, Mirko, Ippoliti, Massimo, Grande, Michele, Sensi, Bruno, Siragusa, Leandro, Ortenzi, Monica, Santini, Andrea, Di Carlo, Isidoro, Veroux, Massimiliano, Gioco, Rossella, Veroux, Gastone, Currò, Giuseppe, Ammendola, Michele, Komaei, Iman, Navarra, Giuseppe, Tonini, Valeria, Sartarelli, Lodovico, Vaccari, Samuele, Ceresoli, Marco, Perrone, Stefano, Roccamatisi, Linda, Millo, Paolo, Contul, Riccardo Brachet, Ponte, Elisa, Zuin, Matteo, Portale, Giuseppe, Tonello, Alice Sabrina, Fratini, Geri, Bianchini, Matteo, Perotti, Bruno, Doria, Emanuele, Lunghi, Elia Giuseppe, Visconti, Diego, Al-Shami, Khayry, Awadi, Sajeda, Khalil Buwaitel, Mohammad Musallam, Naief Naffa', Mo'taz Fawzat, Samhouri, Ahmad, Sawalha, Hatem, Ramzi Yusoff, Ahmad, Che Ani, Mohd Firdaus, Ahmed Fathil, Ida Nadiah, Huei, Jih, Zakaria, Andee Dzulkarnaen, Ya'acob, Mohammad Zawawi, Beristain-Hernandez, Jose-Luis, Garcia-Meza, Alejandro, Sepulveda-Rdriguez, Rafael, Lozada Hernández, Edgard Efren, Acuña Pinzón, Camilo Levi, Condoy, Jefferson Nieves, Becerra García, Francisco C., Sadik, Mohammad, Jalpa, kadir, Bushra, Devi, Jalpa, Seerani, Nandlal, Zainab, Asghar, Mohammad Sohail, Afzal, Ameer, Akbar, Ali, Lohse, Helmut Segovia, Lohse, Herald Segovia, Artidoro Quispe-Cruz, Darwin, Leon Cabrera, Zamiara Solange, Yamamoto Seto, Gaby Susana, Chiuyari, José Ríos, Ordemar, Jorge, Rodríguez, Martha, Orantia-Carlos, Abigail Cheska C., Quitoy, Margie Antionette, Kwiatkowski, Andrzej, Mawlichanów, Maciej, Rocha, Mónica, Soares, Carlos, Muhammad Ali, Syed, Stoian, Alexandru Rares, Diana Draghici, Andreea, Draghici, Andreea Diana, Grigorean, Valentin Titus, Radulescu, Raluca Bievel, Costea, Radu Virgil, Zarnescu, Eugenia Claudia, Kurtenkov, Mikhail, Gendrikson, George, Alla-Angelina, Volovich, Arina, Tsurbanova, Kaldarov, Ayrat, Gachabayov, Mahir, Abdullaev, Abakar, Milentijevic, Milica, Karamarkovic, Milovan, Panyko, Arpád, Radonak, Jozef, Soltes, Marek, Álvarez Morán, Laura, García, Haydée Calvo, Vega, Pilar Suárez, Estevez, Sergio, Ausania, Fabio, Farguell, Jordi, González-Abós, Carolina, Sánchez-Cabús, Santiago, Martín, Belén, Molina, Víctor, Oms, Luis, Ilzarbe, Lucas, Feijóo, Eva Pont, Perra, Elena Sofia, Rojas-Bonet, Noel, Penalba-Palmí, Rafael, Pérez-Bru, Susana, Tur-Martínez, Jaume, Álvarez-Torrado, Andrea, Domingo-Gonzalez, Marta, Tejedor-Tejada, Javier, Di Martino, Marcello, García del Alamo, Yaiza, Mendoza-Moreno, Fernando, García-Moreno-Nisa, Francisca, Matías-García, Belén, Durán, Manuel, Calleja-Lozano, Rafael, Perez de Villar, José Manuel, Sánchez-Guillén, Luis, Caravaca, Iban, Triguero-Cánovas, Daniel, Maya Aparicio, Antonio Carlos, Meléndez, Blas Durán, Palacios, Andrea Masiá, Landaluce-olavarria, Aitor, De Francisco, Mario, Estraviz-Mateos, Begoña, Alconchel, Felipe, Nicolás-López, Tatiana, Ramírez, Pablo, Muñoz-Cruzado, Virginia Duran, Ciuró, Felipe Pareja, Perea del Pozo, Eduardo, Pizarro, Sergio Olivares, Cabrera, Vicente Herrera, Bayo, Jose Muros, Hamid, Hytham K.S., Roesel, Raffaello, Cristaudi, Alessandra, Abbas, Kinan, Ali, Iyad, Tlili, Ahmed, Bayhan, Hüseyin, Türkoğlu, Mehmet Akif, Uzunoglu, Mustafa Yener, Azamat, Ibrahim Fethi, Omarov, Nail, Uymaz, Derya Salim, Altintoprak, Fatih, Akin, Emrah, First, Necattin, Das, Koray, Ozer, Nazmi, Seker, Ahmet, Kara, Yasin, Bozkurt, Mehmet Abdussamet, Kocataş, Ali, Atici, Semra Demirli, Akalin, Murat, Calik, Bulent, Colak, Elif, Altinel, Yuksel, Meric, Serhat, Aktimur, Yunus Emre, Hudson, Victoria, Duval, Jean-Luc, Khan, Mansoor, Saad, Ahmed, Kaur, Mandeep, Bradley, Alison, Fox, Katherine, Tomasi, Ivan, Beasley, Daniel, Prasanti, Alekhya Kotta, Kotecha, Pinky, Ebied, Husam, Paul, Michaela, Sheth, Hemant, Gerogiannis, Ioannis, Gaber, Mohannad, Sheikh, Zara, Seth, Shatadru, Kunitsyna, Maria, Leo, Cosimo Alex, Bellato, Vittoria, Zafar, Noman, Elserafy, Amr, Bond-smith, Giles, Tebala, Giovanni, Mathur, Pawan, Abid, Izza, Chidumije, Nnaemeka, Sandhar, Pardip, Zohaib Ullah, Syed Osama, Lezama, Tamara, Anwaar, Muhammad Hassan, Magee, Conor, Ahmed, Salma, Davies, Brooke, Apollos, Jeyakumar, McCormack, Kieran, Choudhary, Hasham, Doulias, Triantafyllos, Morrison, Tamsin, Palepa, Anna, Cal, Fernando Bonilla, Sánchez, Lianet, Domínguez, Fabiana, Al-Raimi, Ibrahim, Alshargabi, Haneen, Meead, Abdullah, Di Saverio, Salomone, Damaskos, Dimitrios, Agnoletti, Vanni, and Mole, Damian

Published
2022
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14. Long-Term Impact of D2 Lymphadenectomy during Gastrectomy for Cancer: Individual Patient Data Meta-Analysis and Restricted Mean Survival Time Estimation

Author

Aiolfi, Alberto, primary, Bona, Davide, additional, Bonitta, Gianluca, additional, Lombardo, Francesca, additional, Manara, Michele, additional, Sozzi, Andrea, additional, Schlanger, Diana, additional, Popa, Calin, additional, Cavalli, Marta, additional, Campanelli, Giampiero, additional, Biondi, Antonio, additional, and Bonavina, Luigi, additional

Published
2024
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18. Role of fronto-limbic circuit in neuropsychiatric symptoms of dementia: clinical evidence from an exploratory study.

Author

Ramusino, Matteo Cotta, Imbimbo, Camillo, Capelli, Marco, Cabini, Raffaella Fiamma, Bernini, Sara, Lombardo, Francesca Paola, Mazzocchi, Laura, Farina, Lisa Maria, Pichiecchio, Anna, Perini, Giulia, and Costa, Alfredo

Subjects
DEMENTIA, MILD cognitive impairment, CINGULATE cortex, ALZHEIMER'S disease, NEUROBEHAVIORAL disorders
Abstract

Background: Neuropsychiatric symptoms (NPSs) are a distressful aspect of dementia and the knowledge of structural correlates of NPSs is limited. We aimed to identify associations of fronto-limbic circuit with specific NPSs in patients with various types of cognitive impairment. Methods: Of 84 participants, 27 were diagnosed with mild cognitive impairment (MCI), 41 with Alzheimer's disease (AD) dementia and 16 with non-AD dementia. In all patients we assessed regional brain morphometry using a region of interest (ROI)-based analysis. The mean cortical thickness (CT) of 20 cortical regions and the volume (V) of 4 subcortical areas of the fronto-limbic system were extracted. NPSs were rated with the Neuropsychiatric Inventory (NPI). We used multiple linear regression models adjusted for age and disease duration to identify significant associations between scores of NPI sub-domains and MRI measures of brain morphometry. Results: All significant associations found were negative, except those between irritability and the fronto-opercular regions in MCI patients (corresponding to a 40-50% increase in CT) and between delusions and hippocampus and anterior cingulate gyrus (with a 40-60% increase). Apathy showed predominant involvement of the inferior frontal regions in AD group (a 30% decrease in CT) and of the cingulate cortex in non-AD group (a 50-60% decrease in CT). Anxiety correlated in MCI patients with the cingulate gyrus and caudate, with a CT and V decrease of about 40%, while hallucinations were associated with left enthorinal gyrus and right amygdala and temporal pole. Agitation showed associations in the AD group with the frontal regions and the temporal pole, corresponding to a 30-40% decrease in CT. Euphoria, disinhibition and eating abnormalities were associated in the MCI group with the entorhinal, para-hippocampal and fusiform gyri, the temporal pole and the amygdala (with a 40-70% decrease in CT and V). Finally, aberrant motor behavior reported a significant association with frontal and cingulate regions with a 50% decrease in CT. Conclusion: Our findings indicate that specific NPSs are associated with the structural involvement of the fronto-limbic circuit across different types of neurocognitive disorders. Factors, such as age and disease duration, can partly account for the variability of the associations observed. [ABSTRACT FROM AUTHOR]

Published
2024
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19. FIWARE-Compatible Smart Data Models for Satellite Imagery and Flood Risk Assessment to Enhance Data Management.

Author

Kouloglou, Ioannis-Omiros, Antzoulatos, Gerasimos, Vosinakis, Georgios, Lombardo, Francesca, Abella, Alberto, Bakratsas, Marios, Moumtzidou, Anastasia, Maltezos, Evangelos, Gialampoukidis, Ilias, Ouzounoglou, Eleftherios, Vrochidis, Stefanos, Amditis, Angelos, Kompatsiaris, Ioannis, and Ferri, Michele

Subjects
REMOTE-sensing images, DATA management, DATA modeling, FLOOD warning systems, ARTIFICIAL intelligence, WATER management, FLOOD risk
Abstract

The increasing rate of adoption of innovative technological achievements along with the penetration of the Next Generation Internet (NGI) technologies and Artificial Intelligence (AI) in the water sector are leading to a shift to a Water-Smart Society. New challenges have emerged in terms of data interoperability, sharing, and trustworthiness due to the rapidly increasing volume of heterogeneous data generated by multiple technologies. Hence, there is a need for efficient harmonization and smart modeling of the data to foster advanced AI analytical processes, which will lead to efficient water data management. The main objective of this work is to propose two Smart Data Models focusing on the modeling of the satellite imagery data and the flood risk assessment processes. The utilization of those models reinforces the fusion and homogenization of diverse information and data, facilitating the adoption of AI technologies for flood mapping and monitoring. Furthermore, a holistic framework is developed and evaluated via qualitative and quantitative performance indicators revealing the efficacy of the proposed models concerning the usage of the models in real cases. The framework is based on the well-known and compatible technologies on NGSI-LD standards which are customized and applicable easily to support the water data management processes effectively. [ABSTRACT FROM AUTHOR]

Published
2024
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21. FIWARE-compatible Smart Data Models for Satellite Imagery and Flood Risk Assessment to Enhance Data Management

Author

Kouloglou, Ioannis-Omiros, primary, Antzoulatos, Gerasimos, additional, Vosinakis, Georgios, additional, Lombardo, Francesca, additional, Abella, Alberto, additional, Bakratsas, Marios, additional, Moumtzidou, Anastasia, additional, Maltezos, Evangelos, additional, Gialampoukidis, Ilias, additional, Ouzounoglou, Eleftherios, additional, Vrochidis, Stefanos, additional, Amditis, Angelos, additional, Kompatsiaris, Ioannis, additional, and Ferri, Michele, additional

Published
2023
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23. Flank Hernia

Author

Campanelli, Giampiero, Bruni, Piero Giovanni, Morlacchi, Andrea, Lombardo, Francesca, Cavalli, Marta, and Campanelli, Giampiero, editor

Published
2018
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30. Logistics and Specialised Hernia Units

Author

Campanelli, Giampiero, Bruni, Piero Giovanni, Lombardo, Francesca, Morlacchi, Andrea, Cavalli, Marta, LeBlanc, Karl A., editor, Kingsnorth, Andrew, editor, and Sanders, David L., editor

Published
2018
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38. Impact of postoperative NSAIDs administration on anastomotic leak after esophago-gastric surgery: systematic review and meta-analysis.

Author

Aiolfi, Alberto, Bonitta, Gianluca, Campanelli, Giampiero, Bona, Davide, OGSA Group for Esophagogastric Surgery, Lombardo, Francesca, Cavalli, Marta, Manara, Michele, Guraj, Juxhin, and Guerrazzi, Guglielmo

Abstract

Anastomotic leak (AL) is a feared complication of esophago-gastric surgery. Non-steroidal anti-inflammatory drugs (NSAIDs) are widely used to treat postoperative pain. Previous analyses conveyed heterogeneous data for colorectal surgery with a tendency toward high risk for AL after NSAIDs administration. In the setting of upper gastrointestinal (GI) surgery data are even more puzzled. The purpose of the present study was to assess whether an association exists between postoperative NSAIDs administration and AL after esophago-gastric surgery. PubMed, MEDLINE, Scopus, and Web of Science were searched up to November 2022. The included studies evaluated outcomes for NSAIDs vs. no NSAIDs administration after esophago-gastric surgery. The primary outcome was anastomotic leak (AL). Risk ratio (RR) and 95% confidence intervals (95% CI) were used to assess pooled effect size and relative inference. Six studies (43,784 patients) were included. The patient age ranged from 31 to 84 years, 82.4% were males and preoperative BMI ranged from 15 to 31 kg/m2. Esophagectomy was performed in 95% of patients. NSAIDs were administered in 18,075 (41.3%) patients. The cumulative incidence of AL was similar for NSAIDs vs. no NSAIDs (13.6% vs. 13.4%). The risk for postoperative AL was similar for NSAIDs vs. no NSAIDs administration (RR 1.49; 95% CI 0.81–2.75; p = 0.19). The cumulative incidence of postoperative gastrointestinal bleeding (0.36% vs. 0.39%), acute kidney injury (0.62% vs. 0.71%), and in-hospital mortality (2.39% vs. 2.66%) were comparable. NSAIDs administration for postoperative analgesia seems not associated with an increased risk for AL after esophago-gastric surgery. [ABSTRACT FROM AUTHOR]

Published
2023
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40. Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data

Author

Antzoulatos, Gerasimos, primary, Kouloglou, Ioannis-Omiros, additional, Bakratsas, Marios, additional, Moumtzidou, Anastasia, additional, Gialampoukidis, Ilias, additional, Karakostas, Anastasios, additional, Lombardo, Francesca, additional, Fiorin, Roberto, additional, Norbiato, Daniele, additional, Ferri, Michele, additional, Symeonidis, Andreas, additional, Vrochidis, Stefanos, additional, and Kompatsiaris, Ioannis, additional

Published
2022
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41. Vascular Lesions and Brain Atrophy in Alzheimer's, Vascular and Mixed Dementia: An Optimized 3T MRI Protocol Reveals Distinctive Radiological Profiles

Author

Ramusino, Matteo Cotta, Vitali, Paolo, Anzalone, Nicoletta, Melazzini, Luca, Lombardo, Francesca Paola, Farina, Lisa Maria, Bernini, Sara, and Costa, Alfredo

Abstract

Background: Vascular lesions may be a common finding also in Alzheimer's dementia, but their role on cognitive status is uncertain. Objective: The study aims to investigate their distribution in patients with Alzheimer's, vascular or mixed dementia and detect any distinctive neuroradiological profiles. Methods: Seventy-six subjects received a diagnosis of Alzheimer’s (AD=32), vascular (VD=26) and mixed (MD=18) dementia. Three independent raters assessed the brain images acquired with an optimized 3T MRI protocol (including (3D FLAIR, T1, SWI, and 2D coronal T2 sequences) using semiquantitative scales for vascular lesions (periventricular lesions (PVL), deep white matter lesions (DWML), deep grey matter lesions (DGML), enlarged perivascular spaces (PVS), and microbleeds (MB)) and brain atrophy (medial temporal atrophy (MTA), posterior atrophy (PA), global cortical atrophy- frontal (GCA-F) and Evans’ index). Results: Raters reached a good-to-excellent agreement for all scales (ICC ranging from 0.78-0.96). A greater number of PVL (p<0.001), DWML (p<0.001), DGML (p=0.010), and PVS (p=0.001) was observed in VD compared to AD, while MD showed a significant greater number of PVL (p=0.001), DWML (p=0.002), DGML (p=0.018), and deep and juxtacortical MB (p=0.006 and p<0.001, respectively). Comparing VD and MD, VD showed a higher number of PVS in basal ganglia and centrum semiovale (p=0.040), while MD showed more deep and juxtacortical MB (p=0.042 and p=0.022, respectively). No significant difference was observed in scores of cortical atrophy scales and Evans’ index among the three groups. Conclusion: The proposed MRI protocol represents a useful advancement in the diagnostic assessment of patients with cognitive impairment by more accurately detecting vascular lesions, mainly microbleeds, without a significant increase in time and resource expenditure. Our findings confirm that white and grey matter lesions predominate in vascular and mixed dementia, whereas deep and juxtacortical microbleeds predominate in mixed dementia, suggesting that cerebral amyloid angiopathy could be the main underlying pathology.

Published
2023
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43. D7.4 - Optimized CUTLER BPM based on the evaluation feedback from the city pilots

Author

Laszlo Kovats, Haberstock, Holger, Doudouliakis, Konstantinos, Papastergios, Georgios, Tzoumaka, Paraskevi, Kelessis, Apostolos, Kontos, Vasilis, Papafilis, Petros, Christantonis Charistes, Mimilidis, Manolis, Chatzis, Charalampos, Karkaletsi, Sophia, Looveren, Ronny Van, Beeckman, Rebecca, O'Súilleabháin, Darragh, O'Reilly, Anthony, Çiçekliyurt, Berrak, Sandal, Salih, Valta, Katerina, Yümlü, Serdar, Güreken, Cenk, Pragidis, Ioannis, Geronikolaou, Georgios, Stamatelatos, Georgios, Lombardo, Francesca, and Norbiato, Daniele

Subjects
IAMER requirements, Participatory Scenario Planning, Business Process Engine, organisational change, BPM Life Cycle, Operational Process Models, Business Process Models, Causal Diagramming, Evidence based Decision-Making, Data-driven Policy-Making, policy making, Operational BPM, concept specification, Strategic Process Models, Decision-Support System
Abstract

D7.4 is reporting about the development of the operational business process models and presents the resulting output. These models will be applied in the final evaluation and revision exercises of the pilot cases. Furthermore, D7.4 is elaborating on the question how organisations need to prepare or need to be prepared for making full use of the CUTLER platform. This contains a discussion about policy-making in accordance with the requirements of the IAMER concept. Organisational preparation is crucial for successfully establishing CUTLER on the market of decision-support systems.

Published
2020
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44. D5.3 - Optimized methodologies, tools and visualization widget for assessing the environmental impact

Author

Valta, Katerina, Ntzioni, Eleni, Lombardo, Francesca, O'Brien, Noreen, Thornton, Kieran, Leroux, Philip, Pantalona, Georgia, Cortés, Marta, and Mehmood, Hassan

Subjects
climate mitigation, Key performance indicators, dashboards, conflict map, climate adaptation, flood protection, flood simulation, environmental impact, water quality, air quality, environmental widget, garden streets, Kibana, climate change, Elasticsearch, water management, raw materials, GIS layers, environment, risk maps, hazard maps, environmental framework, energy, flood management
Abstract

Deliverable 5.3 presents the optimized methodologies, tools and visualization widgets for assessing the environmental impact for each specific pilot (THESSALONIKI, ANTWERP, ANTALYA, CORK, VICENZA) based on: the internal characteristics of each pilot, the availability of data in each pilot and the environmental and information technology science. Delivering the optimised environmental outputs for each pilot was based on four levels,starting with the pilot and environmental data definition (LEVEL 0), followed by analysis and development of specific environmental stories (LEVEL 1), accomplished by Key Performance Indicators to assess the environmental impact of the proposed policy measures (LEVEL 2), and closing with the development of the environmental widgets which provided with visualizations of straightforward data, graphs, tables, maps, models, indicators, KPIs etc. (LEVEL 3).

Published
2020
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47. Rotational atherectomy-based percutaneous coronary intervention and the risk of contrast-induced nephropathy

Author

Demir, Ozan M., primary, Poletti, Enrico, additional, Lombardo, Francesca, additional, Laricchia, Alessandra, additional, Beneduce, Alessandro, additional, Maccagni, Davide, additional, Cappelletti, Alberto, additional, Colombo, Antonio, additional, Bellini, Barbara, additional, Ancona, Marco B., additional, Carlino, Mauro, additional, Chieffo, Alaide, additional, Montorfano, Matteo, additional, and Azzalini, Lorenzo, additional

Published
2020
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49. Ernie Inguinali

Author

Campanelli, GIAMPIERO GIORGIO SALVATORE CIRO, Piero Giovanni Bruni, Cavalli, Marta, and Lombardo, FRANCESCA MARTINA

Published
2019

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