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2. 30-day Morbidity and Mortality After Cholecystectomy for Benign Gallbladder Disease (AMBROSE)

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Wong, Geoffrey Yuet Mun, Wadhawan, Himanshu, Roth Cardoso, Victor, Bravo Merodio, Laura, Rajeev, Yashasvi, Maldonado, Ricardo David, Martinino, Alessandro, Balasubaramaniam, Vignesh, Ashraf, Aabid, Siddiqui, Adeela, Al-Shkirat, Ahmad Ghassan, Mohammed Abu-Elfatth, Ahmed, Gupta, Ajay, Alkaseek, Akram, Ouyahia, Amel, Said, Amira, Pandey, Anshuman, Kumar, Ashwani, Maqbool, Baila, Millán, Carlos Alberto, Singh, Cheena, Pantoja Pachajoa, Diana Alejandra, Adamovich, Dmitry Mikhailovich, Petracchi, Enrique, Ashraf, Fariha, Clementi, Marco, Mulita, Francesk, Marom, Gad Amram, Abdulaal, Gamaleldeen, Verras, Georgios-Ioannis, Calini, Giacomo, Moretto, Gianluigi, Elfeki, Hossam, Liang, Hui, Jalaawiy, Humam, Elzayat, Ibrahim, Das, Jayanta Kumar, Aceves-Ayala, Jose Miguel, Ahmed, Kazi T., Degrate, Luca, Aggarwal, Manisha, Omar, Mohammed Ahmed, Rais, Mounira, Elhadi, Muhammed, Sakran, Nasser, Bhojwani, Rajesh, Agarwalla, Ramesh, Kanaan, Samir, Erdene, Sarnai, Chooklin, Serge, Khuroo, Suhail, Dawani, Surrendar, Asghar, Syed Tanseer, Fung, Tak Kwan James, Omarov, Taryel, Grigorean, Valentin Titus, Boras, Zdenko, Gkoutos, Georgios V., Singhal, Rishi, Mahawar, Kamal, Group:, TUGSS Multinational Audit Steering, Madhok, Brij, Graham, Yitka, Donohoe, Claire, Reira, Manel, Wadhawan, Himanshu, Vish, YKS, Jain, Rajesh, Elhadi, Muhammed, Popat, Sunil, Boddy, Alex, Jain, Vikas, Singhal, Rishi, Mahawar, Kamal, Coordinators:, TUGSS Multinational Audit Study, Martinino, Alessandro, Said, Amira, Marques, Cláudia Neves, Wazir, Ishaan, Pereira, Juan Pablo Scarano, Abouelazayem, Mohamed, Viswanath, Nakul, Sarodaya, Varun, Bala, Vignesh, Coordinators:, TUGSS Multinational Audit National, Homayoon, Roshan, Dogjani, Agron, Tidjane, Anisse, Antozzi, Luciano, Hong, Joshua, Omarov, Taryel, Dash, Anuj Kanti, Chokshi, Aishwarya, Wietzycoski, Cacio Ricardo, Petkov, Plamen, Mbonicura, Jean Claude, Yang, Wah, Zuluaga, Mauricio, Kraljik, Darko, Lincango Naranjo, Eddy P., Elghadban, Hosam Mohamed, Diaz, Angel, Gerogiannis, Ioannis, Mohammed, Adnan, Lazaros, Lazarou, Mulita, Francesk, Bhasker, Aparna Govil, Kermansaravi, Mohammad, Mahdi, Ahmed Salah, Kayyal, Mohd Yasser, Sakran, Nasser, Frattini, Francesco, Alabdallah, Nadeem Bilal, Sylvester, Kimutai Ronoh, Abdelhamid, Ibrahim, EL Fawal, Mohamad Hayssam, Allawgalli, Aiman Nuri, Dulskas, Audrius, Voon, Kelvin, Caruana, Clifford, Ballesteros, Guillermo Ponce De Leon, Erdene, Sarnai, Ouadii, Mouaqit, Nashidengo, Pueya Abdulrashid, Hazebroek, Eric, Gunawardene, Ashok, Adeyeye, Ademola, Shariff, Amir H., Liakopulos, Nicolas Juan, Toro-Huamanchumo, Carlos J., Waledziak, Maciej, Borges, Nuno, Shabbir, Azhar, Negoi, Ionut, Neimark, Aleksandr, Abouleid, Ayman, Kim, Guowei, Košir, Jurij Aleš, Ruiz Úcar, Elena, Hamid, Hytham K. S., Masri, Ruqaya, Ozmen, Mahir, Taha, Safwan, Goodman, Elliot, AL-Naggar, Hamza, Authors:, AMBROSE Audit Collaborative, Ghouali, Amin Khayreddine, Wafa, Benbrahmin, Allel, Sahli, Elkacem, Bouzenita Mohamed, Ibagherache, Razika, Ouyahia, Amel, Rais, Mounira, Seddik, El Hachemi, Kouicem, Aya Tinhinane, Abdoun, Meriem, Bouaoud, Souad, Boucenak, Kamel, Khalfa, Safia, Brahim, Bouflih, Tidjane, Anisse, Tabeti, Benali, Meharzi, Sif-El-Islem, Larbi, Hakim, Derdous, Reda, Abderaouf, Bettahar, Bouregba, Nadjette, Boukaaabeche, Fouad, Djeroua, Kamel, Sabrin, Naît Ali, Khennaf, Leila, Mesli, Smain Nabil, Ghouali, Amin Khayreddine, Aissat, Abdelnour, Pantoja Pachajoa, Diana Alejandra, Alvarez, Fernando Andrés, Milagros, Nicole Benitez, Medrano Ortiz Palombarini, Valentina Cecilia, Petracchi, Enrique, Quesada, Matias, Canullan, Carlos, Varela, Jose, Posada, Hector, Du Plessis, Cristina, Valenzuela, José Ignacio, Zurita, Melissa Andrea Fernandez, Nasim, Sana, Bowles, Thomas Alexander, Yeboah, Edward, Nair, Roshan, Felsenreich, Daniel Moritz, Omarov, Taryel, Allahverdiyeva, Nigar, Abizade, Rashad, Adamovich, Dmitry Mikhailovich, Barreiro, Thiago Alvim, Cunha, Hercio Azevedo de Vasconcelos, Castilho, Michel Victor, Ferreira, Rafael Meneguzzi Alves, Legati Junior, Ronaldo, Dias, Lorenzo, Wietzycoski, Cacio, Jacobi, Everton Walter, Julianov, Alexander, Saroglu, Azize, Yuruk, Shaban, Dimov, Rosen, Ivanov, Valentin, Dardanov, Dragomir, Yang, Wah, Wei, Zhuoqi, Liang, Hui, Millán, Carlos A., Urbina, Mónica, Cubieros, Jorge, Acosta, Shary, Jiménez, Julián, Boras, Zdenko, Vlahović, Ivan, Koronakis, Nikolaos, González, Ricardo Andrés Buenaño, Ojeda, Cintya Anabel Llerena, Aspiazu-Briones, Cristhian Gonzalo, Martinez-Espinoza, Dario Javier, Rivas-Torres, Eduardo Antonio, Lincango Naranjo, Eddy P., Aldabash, Lama, Shaat, Iman, Alsayed, Mohamed Moneer Abulfotooh, Bali, Eslam, Ayoub, Mohamed Abdel Maksoud, Mohamed, Mohamed, AL Sayed, Mohamed, Elshinnawy, Azza Mohamed Gaber, Tayiawi, Mosaab, Abu-Elfatth, Ahmed Mohammed, Mohamed, Ahmed Emadelden, Elzayat, Ibrahim, Hassan, Ahmed Abdelmotaleb Mohamed, Madany, Mohie El-Din Mostafa, EL-Kassas, Mohamed, Omar, Wael, Tawheed, Ahmed, Elfeki, Hossam, Shalaby, Mostafa, Sakr, Ahmad, Elghrieb, Ahmed Ezzat, Warda, Hisham Hazem, Sadek, Mirna, Mostafa, Mohamed, Elghadban, Hosam, Awad, Selmy, Madany, Mohie El-Din Mostafa, Maghraby, Ahmed Mostafa, Saleem, Abd-El-Aal Ali, Mahmoud, Ahmed Gaber, Madany, Mohie El-Din Mostafa, Maghraby, Ahmed Mostafa, Saleem, Abd-El-Aal Ali, Mahmoud, Ahmed Gaber, Gebril, Mahmoud, Omar, Mohammed Ahmed, Safy, Ahmed Mohamed, Saada, Ahmed, Mohamed Ads, Alaa, Diaz, Angel, Gutiérrez, Emmanuel, Salinas, Hanton, Zimmermann, Perrine, Rhaiem, Rami, Kianmanesh, Reza, Efthymiou, Evripidis, Konstantinidis, Sergios, Drogouti, Maria, Katsourakis, Anastasios, Papadoliopoulou, Maria, Michalopoulos, Nikolaos V., Sidiropoulos, Theodoros A., Kokoropoulos, Panagiotis, Ioannidis, Argyrios, Konstantinidis, Michael, Charalampakis, Vasileios, Sotiropoulou, Maria, Pantelis, Athanasios G., Kapiris, Stylianos, Tsiampas, Ioannis, Tseliou, Vasiliki, Paspala, Anna, Nastos, Constantinos, Ioannidis, Orestis, Symeonidis, Savvas, Anestiadou, Elissavet, Zapsalis, Konstantinos, Machairas, Nikolaos, Keramida, Myrto D., Dorovinis, Panagiotis, Kyakalos, Stylianos, Stavratis, Fotios, Papadopoulos, Aristeidis, Manioti, Eleni, Mouzakis, Odysseas, Nikolaou, Vassiliki, Barkolias, Evangelos, Mulita, Francesk, Verras, Georgios-Ioannis, Vasileios, Mousafeiris, Triantafyllou, Alexandra, Triantafyllou, Tania, Matthaiou, Georgia, Frountzas, Maximos, Toutouzas, Konstantinos G., Tampaki, Ekaterini Christina, Bellou, Olga, Papazacharias, Christos, Moris, Dimitrios, Felekouras, Evangelos, Stamou, Konstantinos, Tsiotos, Gregory, Fanidou, Domna, Drakos, Panagiotis Alexandros, Schizas, Dimitrios, Syllaios, Athanasios, Vailas, Michail, Georgiadou, Despoina, Zampitis, Nikolaos, Marinis, Athanasios, Stefou, Fotini, Melachroinopoulos, Nikolaos, Papaconstantinou, Dimitrios, Dellaportas, Dionysios, Lykoudis, Panagis, Lasithiotakis, Konstantinos, Magouliotis, Dimitrios, Zacharoulis, Dimitris, Laliotis, Aggelos, Gkionis, Ioannis, Baksi, Aditya, Lodha, Mahendra, Kaur, Supreet, Guha, Shanto Shila, Gupta, Amit, Rajput, Deepak, Sharma, Oshin, Huda, Farhanul, Hassan, Mohsin, Singh, Sudhir Kumar, Basu, Somprakas, Kumar, Navin, Mallik, Dhiraj, David, Lena Elizabath, Agrawal, Aditi, Pillai, Vinod G., Muralee, Meera, Haque, Parvez David, Veetil, Sreejith Kannumal, Mahajan, Amit, Jain, Deepak, Annareddy, Dinakar Reddy, Bahadur, Akshay, Bisht, Shankar Dutt, Kashmira, Mayank, Shukla, Ashish, Pandey, Anshuman, Sarda, Hitesh, Agarwalla, Ramesh, Kumar, Ashwani, Aggarwal, Manisha, Sharma, Akanksha, Paras, Alagarsamy, Raghuraman, Chokkalingam, Gangalakshmi, Bhalla, Bhavneet Singh, Ahamad, Mohammad Nafees, Ahmad, Nabeel, Oommen, Ashok Ninan, Subbarayan, Shankar, Mohan, Karthikeyan, Ashraf, Aabid, Singh, Cheena, Jaswal, Kamaljeet S., Minhas, S. S., Bains, Lovenish, Lal, Pawanindra, Das, Jayanta K., Rangad, Gordon M., Lepcha, Alfred, Kynjing, Hampher, Islam, Md Samsul, Shangpliang, Virginia, Thota, Anuroop, Pinnamraju, Karthikeya, Surapaneni, Sushama, Gurram, Ram Prakash, Reddy, Mandapati Mallikarjuna, Inteti, Kamalesh, Srikanth, V., Reddy, V. Jayapala, Parikh, Chirag, Shah, Shakshi, Chaudhary, Priya, Bhojwani, Rajesh, Gupt, Pranoy, Srimal, Ankur, Sharma, Abadhesh, Tayal, Nikhil, Ramu, Gopi, Paul, Ratnadeep, Khuroo, Suhail, Wani, Ajaz, Gusani, Rajat, Gupta, Rahul, Khanduri, Archana, Singh, Arvind, Singh, Sudhir, Pokharia, Pradip, Sharma, Ankur, Venkatappa, Sunil Kumar, Soni, Vishal, Suprapto, Bambang, Tobroni, Ahmad, Kermansaravi, Mohammad, Mousavimaleki, Ali, Eghbali, Foolad, Eghbali, Foodlad, Mashkouri, Nazanin, Jasim, Ali, Kadhim, Nammer, Jalaawiy, Humam, Sakran, Nasser, Haj, Bassel, Asadi, Ahmad, Marom, Gad Amram, Szydlo, Gabriel Shein, Demma, Jonathan Abraham, Pikarasy, Alon J., Targa, Simone, Buzzi, Gianluca, Sanna, Andrea, Currò, Giuseppe, Ammendola, Michele, Palomba, Giuseppe, Aprea, Giovanni, Capuano, Marianna, Basile, Raffaele, Argenio, Giulio, Annecchiarico, Mario, Ferraro, Daniele, Cacciatore, Chiara, Vennarecci, Giovanni, Granieri, Stefano, Bonomi, Alessandro, Frontali, Alice, Cotsoglou, Christian, Centonze, Danilo, Licciardello, Alessio, Martines, Gennaro, Tomasicchio, Giovanni, Veroux, Massimiliano, Gioco, Rossella, Distefano, Costanza, calabrò, Marcello, Caputo, Damiano, LA Vaccara, Vincenzo, Cammarata, Roberto, Farolfi, Tommaso, Degrate, Luca, adjei antwi, Stella Konadu, Brisinda, Giuseppe, Fico, Valeria, Mirco, Paolo, Biondi, Alberto, Persiani, Roberto, Giovinazzo, Francesco, Frongillo, Francesco, Evola, Giuseppe, Ferrara, Francesco, Altomare, Michele, Benuzzi, Laura, Pezzoli, Isabella, Borghi, Alessandra, Cimbanassi, Stefania, Dapri, Giovanni, Nessi, Chiara, Bianco, Federica, Uccelli, Fara Margherita Letizia, Viganò, Luca, Cordaro, Giuseppe, Dionigi, Gianlorenzo, Pino, Antonella, Morezzi, Daniele, Rizzo, Roberta, Convertini, Girolamo, Vallicelli, Carlo, Catena, Fausto, Verdi, Daunia, Mondi, Isabella, Da Lio, Corrado, Loss, Greta, D'acapito, Fabrizio, Di Pietrantonio, Daniela, Tauceri, Francesca, Ercolani, Giorgio, Bottino, Vincenzo, Bosco, Alfonso, Canfora, Alfonso, Chiappetta, Sonja, Frattini, Francesco, Rizzi, Andrea, Breda, Marta, Quaglino, Francesco, Festa, Federico, Savasta, Francesca Maria Chiara, Fiore, Alessia, Soncini, Stefania, Giordano, Alessio, Carganico, Giacomo, Cocchi, Lorenzo, Epis, Lorenzo, Moretto, Gianluigi, Casaril, Andrea, Inama, Marco, Harmony, Impellizzeri, Michail, Creciun, Alessandro, Vitali, Piazza, Martina, Basile, Guido, Pinotti, Enrico, Lapolla, Pierfrancesco, Mingoli, Andrea, Brachini, Gioia, Cirillo, Bruno, Campanelli, Michela, Gentileschi, Paolo, Rossi, Stefano, Picardi, Biagio, Savia, Eleonora, Olmi, Stefano, Uccelli, Matteo, Balla, Andrea, Lepiane, Pasquale, Saraceno, Federica, Coppola, Alessandro, Clementi, Marco, Paniccia, Federico, Grasso, Antonella, Tartaglia, Nicola, Pavone, Giovanna, Ambrosi, Antonio, Angelico, Roberta, Manzia, Tommaso Maria, Materazzo, Marco, Tisone, Giuseppe, Calini, Giacomo, Bresadola, Vittorio, Morinelli, Vittoria, Matucci-Cerinic, Pietro, Michelutti, Luca, Luzzi, Andrea-Pierre, Romairone, Emanuele, Carrabetta, Salvatore, Marzorati, Sara, Khamees, Almu'atasim, Mohammad, Alyaman Meizer, Alananzeh, Samah, AL Momani, Salam, Hijazin, Nadeen, Tarawneh, Shahd Abdulhadi, Alheji, Hazim, Alhajji, Amer, AL-Shkirat, Ahmad Ghassan, Alzoubi, Mohammad N., AL Manasra, Abdel Rahman Abdullah, Elayyan, Rasheed, Jamous, Hussam, Dardour, Mohammad, Mahafdah, Mahmoud Rawhi, AL Hammoud, Amr Ahmad, AL Quran, Mahmoud, Bosire, Friday, Zakaria, Ramy Magdy, Abdullah, Hawraa Reda, Tarboush, Abdullah, Hasan, Wisam Abraheem, Kredan, Ali Abdulnasir, Zreeg, Dafer, Muftah, Aiman, Koshlaf, Abdulmajeed, Albadi, Doaa, Abunaaja, Hayat Omar, Otman, Rema, Ben Hamida, Bahaeddin, Amnaina, Mohamed Gamal, Alhaddad, Hayfa Faraj, Shuaip, Nouran Musbah, Buderbala, Yasmeen, Hamad, Ahmad Faraj, Shames, Haitam, Bakeer, Hiba Bileid, Alkaseek, Akram, Shalabi, Laila Esnoussi, Alhadi, Aliya Salih, Ahjaaz, Mabroukah A. A., Zgheel, Usama, Abdulmoula, Zenab, Younis, Hoda, Aboubeirah, Mohammed Khayri, Binnawara, Muhannud Hassan, Arebi, Jaber Abdusslam, Alboueishi, Asraa Ali, Mohammed Ammar, Sara, Abdedalmajed Rhuma, Heba, Alsori Alharari, Mohamed, Endisha, Salahaldin Emhemmed, Ng, Chin E'ng, Lee, Yu Wei, Tay, Yen Zhir, Abdul Manan, Nurhidayah, Tajul Arifin, Mohd Syazwan, Khairul Anuar, Ariff Solihin, Kumar, Neeraj, Maiyauen, Thanesh Kumar, Zakari, Andee Dzulkarnaen, Fathi, Mohd Azem, Izhar, Mas Izzati, Awang Dahlan, Dayang Azzyati, Mokhtar, Suryati, Samsudin, Syakirah, Jaktaram Singh, Balraj Singh, Arumugam, Mohanasundram Pillai, Theevashini, Krishnasamy, Manap, Shaiful Amir, Yong, Chon Woon, Mohamed Nabil, Mohamed Nazri, Lim, Jolene Sze Huey, Voon, Kelvin, Cheng, Shi Yu, Amanullah, Muhammad Mubarak, Ahmed, Nurzarina, Lim, I. Vern, Mazlan, Mohd Rashid, Sivananthan, Asokumar, Yussra, Yusoff, Puvisny, Shanmugam Nathan, Chua, Ian Bin, Sharman, Matthew, Siow, Sze Li, Axiak, Jessica, Dowling, Jessica, Portelli, Mark, Caruana, Clifford, Beristain-Hernandez, Jose-Luis, Vazquez-Romero, Odette-Desiree, Jaime-Silva, Jessica, Cadena-Guzman, Joaquin-Homar, Aceves-Ayala, Jose Miguel, Treviño -Meza, Jasmin Marielena, Erik, Efrain-Sosa-Duran, Guzman-Águilar, Rafael, María, Zuñiga, Jose Edusrdo, Pinto Angulo, Victor Manuel, Trejo-Avila, Mario, Bozada-Gutierrez, Katya, Carrion, Christian, Gómez-Herrera, María Norma, García-Gómez, Aurora, Pimentel Melendez, Samuel Arnulfo, Bautista Martinez, Abelardo Olaf, Nuñez DE LA Rosa, Sofia, Inchaustegui Tinajero, Jose, Sordo Lima, Diego Ervey, Pérez-Soto, Rafael Humberto, Hernández-Acevedo, Juan David, Domínguez-Rosado, Ismael, Mercado-Díaz, Miguel Ángel, Sierra-Salazar, Mauricio, Pimienta, Ana, Erdene, Sarnai, Sandag, Erdene, Orgoi, Sergelen, Ochir, Chimedsuren, Batmunkh, Munkhbat, Ouazzani, Et-tayab, EL Fdili, Mostafa, Hassani Ibn Majdoub, Karim, Mazaz, Khalid, Errachidy, Meriem, Mekondjo Nashidengo, Pueya, William Quayson, Francis, Tabiri Abebrese, John, Sushmita Seibes, Sharifa, Tjipetekera, Rejoice, Lim, Yukai, Haimona, Mairarangi, Mcclean, Sophie F., Rodriguez, Shaymar Eddylena Gutierrez Rodriguez, Lopez, Acris Arnoldo Arauz Lopez, Adetoyese Adeyeye, Ademola, Nwabuoku, Emeka Stanley, Mohammed Bello, Usman, Musa Umar, Bashir, Makama, Jerry Godfrey, Aminu, Bashir, Oriakhi, Steve-nation Nehiweze, Mosanya, Arinzechukwu Obi, Omon, Henry Ehidiamen, Wuraola, Funmilola Olanike, Ishola, Adegoke, Ulasi, Ikechukwu, Irowa, Omorodion O., Agbonrofo, Peter I., Irmiya, Solomon, Ammar, Ahmed Siddique, Khattak, Shehrbano, Qureshi, Sajid, Bashir, Nida Wahid, Jalal, Hira, Kamran, Ali, Sultan, Rizwan, Fatima, Mishal, Ali, Muhammad, Farooq, Omama, Khan, Muhammad Taha Junaid, Soomro, Umar, Saleem, Amna, Khawaja, Uzzam Ahmed, Martins, Russell Seth, Dawani, Surrendar, Siddiqui, Adeela, Khan, Madiha Masood, Jafferi, Salman, Faizi, Tashaba Qaiser, Talib, Vikash, Ali, Danish, Javed, Mahad Hassan, Rasheed, M. Ahsan, Mughal, Javeed, Ijaz, Nadeem, Rehman, Imtiaz ur, Aurangzeb, Mahmud, Ahmed, Nisar, Jan, Zaka Ullah, Khan, Shahzeb, Aziz, Sarmad Saeed, Shamim Afridi, Shehzadi Ghazala, Maroof, Syed Asad, Khan, Muhammad Imaran, Zarin, Muhammad, Naz, Farah, Jan, Zakaullah, Asghar, Syed Tanseer, Ali, Sana, Azam, Saim, Jalil, Hira, Naqvi, Hasham, Ashraf, Fariha, Siddiqui, Tayyab, Murataza, Ghulam, Bari, Hassaan, Ahmed, Hassan, Jayyab, Mustafa Abu, AL-Dahdouh, Mosheer, Echeverria, R. Rainer, Mendoza, Mario Ynoue, Kisielewski, Michal, Stefura, Tomasz, Richter, Karolina, Klos, Nikola, Walędziak, Maciej, Bartosiak, Katarzyna, Komorowska, Katarzyna, Silvestre, Miguel Trigo, Santos, Cláudia, Gil, Isabela, Cardoso, Vasco Silva, Melo, Miguel Rocha, Lima, Rita, Bolota, Joana, Cotovio, Manuel, Grigorean, Valentin Titus, Stoian, Alexandru Rares, Diana Andreea, Draghici, Toma, Elena A., Lunca, Sorinel, Zarnescu, Narcis, Costea, Radu Virgil, Litvin, Andrey, Aljohani, Emad, Zaid, AbdelNasser, Shaar, Khalid, Awaf, Khalid, Zakarneh, Eman, Alowayrdi, Tumadher, Alyami, Fatimah, Alamer, Adam, Taha, Mohamed Y., Chowdhury, Sharfuddin, Alshahrani, Salem, Panyko, Arpád, Košir, Jurij Aleš, Grosek, Jan, Tomažič, Aleš, Pintar, Tadeja, Ruiz Úcar, Elena, Castro, Ernest, Sambrano, David, Garcia-Dominguez, Rafael, Tusa, Claudio, Landaluce-Olavarria, Aitor, Estraviz-Mateos, Begoña, González, Jaime, Roca, Begoña, Jayarajah, Umesh, Subasinghe, Duminda, Sivaganesh, Sivasuriya, Hamid, Hytham K. S., Galal-Eldin, Sami, Eldirdiri, Sami, Elnour, Moheyaldien, Asaad, Nada, Mohammed, Musab, Hassan, Luden Saifaldawla, Mohamed, Khalid Osman, Abdelrahman, Salma Ahmed, Alsadeg, Hajer, Ali, Ahmed Altigani Elhadi, Elsiddig Musa, Reem Abdalla, Sarih, Monira, Ismail, Samir, Ahmed, Omer Albasher Almaki, Taj Eldeen, Samaher Taj Eldeen Hassan, Elsiddig, Kamal Elzaki, Elhasan, Mohamed Elghazali Ahmed Basheer, Karamelghani, Mohammed A. F., Mohammed, Ozaz, Adam, Albushra Altayeb, Barakat, Habab Osman, Elhadi, Rawan Elnoman, Alnaji, Abdallh Abdalmajid, Mohamed, Esraa Hamza Abdel Ghani, AL Houri, Hasan, Alhouri, Ahmad, Soliman, Alnour Khmeis, AL Ahmad, Mohamad, Kayali, Ahmad Amir, Nasani, Mohannad, Nerabani, Yaman, Ashkar, Eman, Sawas, Mohamad Nabhan, Aldirani, Alaa N., Zahreddin, Amnah, Alasmar, Ammar M., Hasan, Lilav, Alhosen, Mohammed Alahmed, Klib, Mohamad, Rahman Hammadieh, Abdul, Chikh Salem, Mhd Tarek, Ghandour, Munir, Sara, Samer, Kara Tahhan, Nour, Albani, Nour, Alsaid, Bayan, Ahmad, Basel, Almaydaani, Mohamad, Abbas, Morhaf, Nanaa, Mohamad, Aloulou, Mohammad, Kudra Danial, Aghyad, Khaled, Ahmad, Latouf, Rama, Saeed, Diyala, Ghazal, Ahmad, Masri, Ruqaya, Hamdan, Ola, Ayoub, Kusay, Kadoura, Lama, Atli, Abd Alazeez, Zayat, Hussein, Niazi, Ammar, Dabbit, Abdallah, Dahrouj, Wissam, Alhaj, Ahmad, Dabbagh, Ezeddin, Aldaher, Mohammad, Bsata, Adel, Shahrour, Mohamad Zaher, Khusruf, M. Akram, Wali, Tayssier, Aldroubi, Mohammad Tayeb, Almoshantaf, Mohammad Badr, Alahmad, Mohammad Abdullah, Leen, Jamil, AL-Nokta, Aya, Bakri, Ashraf, Arnaout, Ahmad Yamen, Ibrahim, Hamza, Nastah, Samer, Kanaan, Samir, Rasheed, Omeed, Mohammad, Alttaher, Bokal, Zied, Gafsi, Besma, Baccar, Marwen, AMMAR, Houssem, Ermis, Ilker, Tokocin, Merve, Kabuli, Hamit Ahmet, Tokocin, Onur, Ergenç, Muhammer, Gülşen, Taygun, Erginöz, Ergin, Uludağ, Server Sezgin, Bozkir, Haktan Övül, Zengin, Kağan, Özçelik, Mehmet Faik, Zarbaliyev, Elbrus, Çağlikülekçi, Mehmet, Böler, Deniz, Aktokmakyan, Talar Vartanoglu, Peksen, Caghan, Savas, Osman Anil, Sumer, Aziz, Guldogan, Cem Emir, Ozmen, Mahir, Kaplan, Mehmet, Colak, Elif, Şanli, Ahmet Necati, Kilani, Ayoub Ibrahim, Kamer, Erdinc, Namdaroglu, Ozan, Ahmed, Fuad, Marzouk, Ahmed, Harbinson, Daniel, Abdulrahman, Hassal, Ali, Heba, Abousamra, Mohamed, Di Maggio, Francesco, Abushawaly, Amr, Badawi, Marwa, Rahman, Atiqur, Jenner, Deborah, Said, Amira, Ahmed, Kazi, Watali, Yawar, Soggiu, Fiammetta, Sheth, Hemant, Drymousis, Panagiotis, Caterson, Jessica, Mehmood, Saqib, Wadhawan, Himanshu, Strachan, David, Mcelroy, Luke, Chauhan, Munish, Morgan, Richard, Mamun, Muhammad, Tora, Mir, Shamali, Awad, ML Williamson, James, Slim, Naim, Mark, Safiya, Huppler, Lucy, Crane, Sophie, Mcgrath, Polly, Fung, James Tak Kwan, Kok, Siu Yan, Bond-Smith, Giles, Dawani, Aruna, Shamardal, Aliaa, Ahmed, Mohammed M. Madi, Obasi, Chekwas, Gala, Tanzeela, Elshaer, Ahmed Mohammed, Warner, Sian, Nathadwarawala, Pooja, Askari, Alan, Pandanaboyana, Sanjay, Thakkar, Rohan, Barbour, Fraser, Finch, Jonathan Guy, Habib, Helai, Ansong, Eric, Attard, Joseph, Aujayeb, Avinash, Gupta, Ajay, Fale, Madeleine, Gupta, Anuj, Gajdhar, Aniq, Fareed, Khaleel, Elfeky, Mohamed Abdelfattah, Ashry, Mohamed, Kaur, Mandeep, Faycal Mirghani, Shaza, Tanveer, Yousaf, Albendary, Mohamed, Bhattacharya, Pratik, Abdulaal, Gamaleldeen, Ghufran, Muhammad Ali, Ghanem, Ahmed, Leong, Darren, Mamidanna, Ravikrishna, Aamery, Amaar, Tewari, Nilanjana, Williams, Greg, Tariq, Hamza, Klair, Anjeevan Kaur, Jones, Katie, Selvachandran, Haran, Day, Arthur, Ajmani, Adesh, Parmar, Chetan, Bosch, Karen, Young, Richard, Chan, Alvina, Silva, Yashodha, Kureci, Abdulrahman, Paranyak, Mykola, Shepetko-Dombrovskii, Oleksii, Chooklin, Serge, Chuklin, Serhii, Dutka, Yaromyr, Maqbool, Baila, Gill, Ali Abdullah, Jan, Azalea, Murali, Tharani, Alhajami, Faris, Atiah, Nora, Nadeesh, Areej, and Almaqdi, Sarah

Published
2025
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3. Upadacitinib in Adolescents With Moderate to Severe Atopic Dermatitis: Analysis of 3 Phase 3 Randomized Clinical Trials Through 76 Weeks

Author

Paller, Amy S., Mendes-Bastos, Pedro, Siegfried, Elaine, Eichenfield, Lawrence F., Soong, Weily, Prajapati, Vimal H., Lio, Peter, Simpson, Eric L., Raymundo, Eliza M., Suravaram, Smitha, Hu, Xiaofei, Yang, Yang, Huang, Xiaohong, Calimlim, Brian M., Platt, Andrew M., Su, John C., Zheng, Min, Yamamoto-Hanada, Kiwako, Teixeira, Henrique D., and Irvine, Alan D.

Abstract

IMPORTANCE: The Measure Up 1, Measure Up 2, and AD Up studies demonstrated the efficacy and adverse events of upadacitinib through 52 weeks in adults and adolescents with atopic dermatitis (AD); however, longer-term outcomes (longer than 1 year) in adolescents have not previously been available. OBJECTIVE: To evaluate the efficacy and adverse events of upadacitinib in adolescent patients with moderate to severe AD through 76 weeks. DESIGN, SETTING, AND PARTICIPANTS: The Measure Up 1, Measure Up 2, and AD Up trials are ongoing double-blind, placebo-controlled phase 3 randomized clinical trials including adolescents (aged 12 to 17 years) with moderate to severe AD. Data were collected from August 2018 to April 2022, and data were analyzed from June 2022 to September 2023. INTERVENTIONS: Adolescents were randomized 1:1:1 to receive once-daily oral upadacitinib, 15 mg; upadacitinib, 30 mg; or placebo, either alone (Measure Up 1 and Measure Up 2 trials) or with topical corticosteroids (AD Up). At week 16, placebo-treated patients were rerandomized to receive upadacitinib, 15 mg, or upadacitinib, 30 mg, daily. MAIN OUTCOMES AND MEASURES: Coprimary end points assessing efficacy included achievement of 75% reduction or more in the Eczema Area and Severity Index Score (EASI-75) from baseline, Validated Investigator Global Assessment for Atopic Dermatitis (vIGA-AD) score of clear (0) or almost clear (1) with 2 grades or more of improvement, and Worst Pruritus Numerical Rating Scale (WP-NRS) improvement of 4 points or greater through week 76 for participants with a WP-NRS score of 4 points or higher at baseline. RESULTS: From all studies, 542 adolescents were included; of these, 284 (52.4%) were female. At week 76, among patients in the Measure Up 1, Measure Up 2, and AD Up trials, EASI-75 was achieved by 89.1%, 84.4%, and 87.8% of adolescents taking upadacitinib, 15 mg, respectively, and by 96.1%, 93.6%, and 82.7% of adolescents taking upadacitinib, 30 mg, indicating maintenance or improvement of EASI-75 across 76 weeks with upadacitinib. Efficacy measured by achievement of vIGA-AD score of 0 or 1 and WP-NRS improvement of 4 points or more from baseline was similarly maintained or improved through week 76 for adolescents taking upadacitinib, 15 mg or 30 mg. Long-term outcomes in Measure Up 1, Measure Up 2, and AD Up participants were consistent with the known adverse event profile of upadacitinib (herpetic infection: 4.0, 1.9, and 1.1 events per 100 patient-years, respectively; creatine kinase elevation: 11.6, 11.0, and 7.1 events per 100 patient-years); no new signals were observed with either dose. CONCLUSIONS AND RELEVANCE: In this study assessing 3 randomized clinical trials, long-term treatment of adolescents with moderate to severe AD with upadacitinib demonstrated a favorable benefit-risk profile, with sustained efficacy responses through 76 weeks. TRIAL REGISTRATIONS: Measure Up 1 trial: ClinicalTrials.gov Identifier: NCT03569293; Measure Up 2 trial: NCT03607422; AD Up trial: NCT03568318

Published
2024
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4. Efficacy of Over-the-Counter Moisturizers in Pediatric Atopic Dermatitis: An Update to a Systematic Review

Author

Osher, Gabrielle Rose, Madkins, Krystal, and Lio, Peter

Abstract

Introduction: Moisturizers are a mainstay of treatment for atopic dermatitis (AD), a common skin condition affecting children. Pediatric skin is notably different from adult skin, possessing qualities that increase its susceptibility to AD. Care must be taken when choosing the correct emollient for a pediatric AD patient. This review synthesizes the effects of different emollients on various outcome measures in pediatric patients with AD and highlights shortcomings in the literature. Methods: PubMed, EMBASE, and Cochrane Library were indexed, and results were limited to those published after 2015. Randomized controlled trials or controlled clinical studies comparing the effects of an emollient or emollient ingredient against another moisturizer or ingredient, its vehicle, or against no treatment in patients under the age of 18 diagnosed with AD were included. Outcomes measured were clinical outcome data, transepidermal water loss, and stratum corneum hydration. Results: 1348 results were collected, 947 were screened, and 16 were identified as eligible for inclusion. The clinical effect of ceramides is well documented: these products performed better than urea-based formulas and untreated controls, and similarly to paraffin-based formulas in 3 studies. Improvements from glycerin-based products were greater compared to no treatment, and equivalent to other formulas. Two studies comparing emollients of four different vehicle types (lotions, creams, gels, and ointments) found comparable effectiveness among them. Conclusion: Compared to no treatment, moisturizers of any type effectively improve symptoms and skin conditions seen in children with AD. However, due to heterogeneity in protocols, products, and outcome measures across the studies, few widespread conclusions could be drawn. Further investigation into emollient formulations for pediatric AD is warranted to provide reliable information that is applicable in clinical settings.

Published
2024
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6. Graph Rewiring and Preprocessing for Graph Neural Networks Based on Effective Resistance

Author

Shen, Xu, Lio, Pietro, Yang, Lintao, Yuan, Ru, Zhang, Yuyang, and Peng, Chengbin

Abstract

Graph neural networks (GNNs) are powerful models for processing graph data and have demonstrated state-of-the-art performance on many downstream tasks. However, existing GNNs can generally suffer from two limitations: over-smoothing and over-squashing, which can significantly undermine their learning ability for large graphs. To overcome these issues simultaneously, by utilizing the concept of effective resistances, we focus on minimizing total constrained resistance while identifying problematic edges using topological redundancy and bottleneck sparsity coefficients. We introduce a novel graph rewiring and preprocessing method guided by effective resistance (GPER), capable of edge addition or removal. Theoretical analysis validates our method's efficacy in mitigating over-smoothing and over-squashing. In the experiments, we conduct node and graph classifications on the benchmark datasets and can achieve an average improvement of 7.8% and 2.0%, respectively. We also conduct scalability analysis on large graphs with GCN and demonstrate that the proposed preprocess approach can reduce graph size by over 50% while improve the performance.

Published
2024
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9. Improving systemic therapy selection for inflammatory skin diseases: A clinical need survey

Author

Brownstone, Nicholas D., Farberg, Aaron S., Litchman, Graham H., Quick, Ann P., Siegel, Jennifer J., Hurton, Lenka V., Goldberg, Matthew S., and Lio, Peter A.

Abstract

Empirical decisions to select therapies for psoriasis (PSO) and atopic dermatitis (AD) can lead to delays in disease control and increased health care costs. However, routine molecular testing for AD and PSO are lacking.

Published
2024
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14. Mixed Shock Complicating Cardiogenic Shock: Frequency, Predictors, and Clinical Outcomes.

Author

Baldetti, Luca, Gallone, Guglielmo, Filiberti, Gaia, Pescarmona, Luca, Cesari, Andrea, Rizza, Vincenzo, Roagna, Edoardo, Gurrieri, Davide, Peveri, Beatrice, Nocera, Lorenzo, Cianfanelli, Lorenzo, Marcelli, Gianluca, De Lio, Giulia, Boretto, Paolo, Angelini, Filippo, Gramegna, Mario, Pazzanese, Vittorio, Sacchi, Stefania, Calvo, Francesco, and Ajello, Silvia

Abstract

BACKGROUND: Patients presenting with cardiogenic shock (CS) are at risk of developing mixed shock (MS), characterized by distributive-inflammatory phenotype. However, no objective definition exists for this clinical entity. We assessed the frequency, predictors, and prognostic relevance of MS complicating CS, based on a newly proposed objective definition. MS complicating CS was defined as an objective shock state secondary to both an ongoing cardiogenic cause and a distributive-inflammatory phenotype arising at least 12 hours after the initial CS diagnosis, as substantiated by predefined longitudinal changes in hemodynamics, clinical, and laboratory parameters. RESULTS: Among 213 consecutive patients admitted at 2 cardiac intensive care units with CS, 13 with inflammatory-distributive features at initial presentation were excluded, leading to a cohort of 200 patients hospitalized with pure CS (67±13 years, 96% Society of Cardiovascular Angiography and Interventions CS stage class C or higher). MS complicating CS occurred in 24.5% after 120 (29-216) hours from CS diagnosis. Lower systolic arterial pressure (P=0.043), hepatic injury (P=0.049), and suspected/definite infection (P=0.013) at CS diagnosis were independent predictors of MS development. In-hospital mortality (53.1% versus 27.8%; P=0.002) and hospital stay (21 [13-48] versus 17 [9-27] days; P=0.018) were higher in the MS cohort. At logistic multivariable analysis, MS diagnosis (odds ratio [OR], 3.00 [95% CI, 1.39-6.63]; Padj=0.006), age (OR, 1.06 [95% CI, 1.03-1.10] years; Padj<0.001), admission systolic arterial pressure <100 mm Hg (OR, 2.41 [95% CI, 1.19-4.98]; Padj=0.016), and admission serum creatinine (OR, 1.61 [95% CI, 1.19-2.26]; Padj=0.003) conferred higher odds of in-hospital death, while early temporary mechanical circulatory support was associated with lower in-hospital death (OR, 0.36 [95% CI, 0.17-0.75]; Padj=0.008). CONCLUSIONS:' MS complicating CS, objectively defined leveraging on longitudinal changes in distributive and inflammatory features, occurs in one-fourth of patients with CS, is predicted by markers of CS severity and inflammation at CS diagnosis, and portends higher hospital mortality. [ABSTRACT FROM AUTHOR]

Published
2024
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15. ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology

Author

Mumenin, Nasirul, Yousuf, Mohammad Abu, Nashiry, Md Asif, Azad, A. K. M., Alyami, Salem A., Lio', Pietro, and Moni, Mohammad Ali

Abstract

Autism Spectrum Disorder (ASD) is a chronic condition characterised by impairments in social interaction and communication. Early detection of ASD is desired, and there exists a demand for the development of diagnostic aids to facilitate this. A lightweight Involutional Neural Network (INN) architecture has been developed to diagnose ASD. The model follows a simpler architectural design and has less number of parameters than the state‐of‐the‐art (SOTA) image classification models, requiring lower computational resources. The proposed model is trained to detect ASD from eye‐tracking scanpath (SP), heatmap (HM), and fixation map (FM) images. Monte Carlo Dropout has been applied to the model to perform an uncertainty analysis and ensure the effectiveness of the output provided by the proposed INN model. The model has been trained and evaluated using two publicly accessible datasets. From the experiment, it is seen that the model has achieved 98.12% accuracy, 96.83% accuracy, and 97.61% accuracy on SP, FM, and HM, respectively, which outperforms the current SOTA image classification models and other existing works conducted on this topic. An Involutional neural network architecture has been developed to diagnose ASD. The proposed model is trained to detect ASD from eye‐tracking scanpath, heatmaps, and fixation maps. Monte Carlo dropout has been applied to the model to perform an uncertainty analysis and ensure the effectiveness of the output provided by the proposed INN model.

Published
2024
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16. Flexible Physical Unclonable Functions Based on Non-deterministically Distributed Dye-Doped Fibers and Droplets

Author

Bruno, Mauro Daniel Luigi, Lio, Giuseppe Emanuele, Ferraro, Antonio, Nocentini, Sara, Papuzzo, Giuseppe, Forestiero, Agostino, Desiderio, Giovanni, De Santo, Maria Penelope, Wiersma, Diederik Sybolt, Caputo, Roberto, Golemme, Giovanni, Riboli, Francesco, and Barberi, Riccardo Cristoforo

Abstract

The development of new anticounterfeiting solutions is a constant challenge and involves several research fields. Much interest is currently devoted to systems that are impossible to clone, based on the physical unclonable function (PUF) paradigm. In this work, a new strategy based on electrospinning and electrospraying of dye-doped polymeric materials is presented for the manufacturing of flexible free-standing films that embed simultaneously different PUF keys. The proposed films can be used to fabricate novel anticounterfeiting labels having three encryption levels: (i) a map of fluorescent polymer droplets, with random positions on a dense yarn of polymer nanofibers, (ii) a characteristic fluorescence spectrum for each label, and (iii) the unique speckle patterns that every label produces when illuminated with coherent laser light shaped in different wavefronts. The intrinsic uniqueness introduced by the manufacturing process encodes enough complexity into the optical anticounterfeiting tag to generate thousands of cryptographic keys. The simple and cheap fabrication process as well as multilevel authentication makes such colored polymeric unclonable tags a practical solution in the secure protection of goods in our daily life.

Published
2024
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17. Estimation for partially observed left truncation and right censored competing risks data from a generalized inverted exponential distribution with illustrations

Author

Wang, Liang, Zhang, Chunfang, Wu, Shuo-Jye, Dey, Sanku, and Lio, Yuhlong

Abstract

ABSTRACTIn this paper, studies of competing risks model are considered when the observations are left-truncated and right-censored data. When the failure times of the competing risks are distributed by a generalized inverted exponential model with same scale but different shape parameters with partially observed failure causes, statistical inference for the unknown model parameters is discussed from classical and Bayesian approaches, respectively. Maximum likelihood estimators of the unknown parameters, along with associated existence and uniqueness, are established, and the asymptotic likelihood theory is also used to construct the confidence interval via the observed Fisher information matrix. Moreover, Bayesian estimates and the corresponding highest posterior density credible intervals are also obtained based a flexible Gamma-Beta prior, and a Gibbs sampling technique is constructed to compute associated estimates. Further, under a general practical assumption with order-restriction parameter case, classical and Bayesian estimations are also established under order restriction situations, respectively. Extensive Monte-Carlo simulations are carried out to investigate the performances of our results and two real-life examples are analyzed to show the applicability of the proposed methods.

Published
2024
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18. Current and future applications of light-sheet imaging for identifying molecular and developmental processes in autism spectrum disorders

Author

Soumier, Amelie, Lio, Guillaume, and Demily, Caroline

Abstract

Autism spectrum disorder (ASD) is identified by a set of neurodevelopmental divergences that typically affect the social communication domain. ASD is also characterized by heterogeneous cognitive impairments and is associated with cooccurring physical and medical conditions. As behaviors emerge as the brain matures, it is particularly essential to identify any gaps in neurodevelopmental trajectories during early perinatal life. Here, we introduce the potential of light-sheet imaging for studying developmental biology and cross-scale interactions among genetic, cellular, molecular and macroscale levels of circuitry and connectivity. We first report the core principles of light-sheet imaging and the recent progress in studying brain development in preclinical animal models and human organoids. We also present studies using light-sheet imaging to understand the development and function of other organs, such as the skin and gastrointestinal tract. We also provide information on the potential of light-sheet imaging in preclinical drug development. Finally, we speculate on the translational benefits of light-sheet imaging for studying individual brain-body interactions in advancing ASD research and creating personalized interventions.

Published
2024
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19. Hybrid-Convergent Procedure or Pulsed Field Ablation in Long-Standing Persistent Atrial Fibrillation

Author

Bianchini, Lorenzo, Schiavone, Marco, Vettor, Giulia, Gasperetti, Alessio, Penza, Eleonora, Ballotta, Andrea, Pirola, Sergio, Brambillasca, Claudio, Zito, Elio, De Lio, Francesca, Ventrella, Nicoletta, Tundo, Fabrizio, Moltrasio, Massimo, Fassini, Gaetano, Polvani, Gianluca, and Tondo, Claudio

Abstract

Hybrid-convergent radiofrequency (RF) ablation targeting pulmonary veins (PVs) and left atrial posterior wall (LAPW) has shown better arrhythmic outcomes than an endocardial-only RF strategy, despite higher rates of complications. Comparisons with extensive pulsed field ablation (PFA) are currently lacking.

Published
2024
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20. Rosacea Core Domain Set for Clinical Trials and Practice: A Consensus Statement

Author

Dirr, McKenzie A., Ahmed, Areeba, Schlessinger, Daniel I., Haq, Misha, Shi, Victoria, Koza, Eric, Ma, Melissa, Christensen, Rachel E., Ibrahim, Sarah A., Schmitt, Jochen, Johannsen, Lena, Asai, Yuka, Baldwin, Hilary E., Berardesca, Enzo, Berman, Brian, Vieira, Ana Carolina, Chien, Anna L., Cohen, David E., Del Rosso, James Q., Dosal, Jacquelyn, Drake, Lynn A., Feldman, Steven R., Fleischer, Alan B., Friedman, Adam, Graber, Emmy, Harper, Julie C., Helfrich, Yolanda R., Jemec, Gregor B., Johnson, Sandra M., Katta, Rajani, Lio, Peter, Maier, Lisa E., Martin, George, Nagler, Arielle R., Neuhaus, Isaac M., Palamar, Melis, Parish, Lawrence C., Rosen, Theodore, Shumack, Stephen P., Solomon, James A., Tanghetti, Emil A., Webster, Guy F., Weinkle, Allison, Weiss, Jonathan S., Wladis, Edward J., Maher, Ian A., Sobanko, Joseph F., Cartee, Todd V., Cahn, Brian A., Alam, Murad, Kang, Bianca Y., Iyengar, Sanjana, Anvery, Noor, Alpsoy, Erkan, Bewley, Anthony, Dessinioti, Clio, Egeberg, Alexander, Engin, Burhan, Gollnick, Harald P. M., Ioannides, Dimitrios, Kim, Hei Sung, Lazaridou, Elizabeth, Li, Ji, Lim, Hester Gail, Micali, Giuseppe, de Oliveira, Clivia Maria Moraes, Noguera-Morel, Lucero, Parodi, Aurora, Reinholz, Markus, Suh, Dae Hun, Sun, Qiuning, van Zuuren, Esther J, Wollina, Uwe, Zhou, Youwen, Zip, Catherine, Poon, Emily, and Pearlman, Ross

Abstract

IMPORTANCE: Inconsistent reporting of outcomes in clinical trials of rosacea is impeding and likely preventing accurate data pooling and meta-analyses. There is a need for standardization of outcomes assessed during intervention trials of rosacea. OBJECTIVE: To develop a rosacea core outcome set (COS) based on key domains that are globally relevant and applicable to all demographic groups to be used as a minimum list of outcomes for reporting by rosacea clinical trials, and when appropriate, in clinical practice. EVIDENCE REVIEW: A systematic literature review of rosacea clinical trials was conducted. Discrete outcomes were extracted and augmented through discussions and focus groups with key stakeholders. The initial list of 192 outcomes was refined to identify 50 unique outcomes that were rated through the Delphi process Round 1 by 88 panelists (63 physicians from 17 countries and 25 patients with rosacea in the US) on 9-point Likert scale. Based on feedback, an additional 11 outcomes were added in Round 2. Outcomes deemed to be critical for inclusion (rated 7-9 by ≥70% of both groups) were discussed in consensus meetings. The outcomes deemed to be most important for inclusion by at least 85% of the participants were incorporated into the final core domain set. FINDINGS: The Delphi process and consensus-building meetings identified a final core set of 8 domains for rosacea clinical trials: ocular signs and symptoms; skin signs of disease; skin symptoms; overall severity; patient satisfaction; quality of life; degree of improvement; and presence and severity of treatment-related adverse events. Recommendations were also made for application in the clinical setting. CONCLUSIONS AND RELEVANCE: This core domain set for rosacea research is now available; its adoption by researchers may improve the usefulness of future trials of rosacea therapies by enabling meta-analyses and other comparisons across studies. This core domain set may also be useful in clinical practice.

Published
2024
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21. Bayesian inference in the framework of uncertainty theory

Author

Li, Anshui and Lio, Waichon

Abstract

Bayesian inference is one of the important topics in modern statistics. The information of the parameter in Bayesian statistics which is regarded as some random variable will be updated by that of the posterior distribution. In other words, all the inferences in Bayesian statistics are based on the updated posterior information, which has been proven to be a very powerful technique. In this paper, we study the Bayesian inference in the framework of uncertainty theory based on the uncertain Bayesian rule developed by Lio and Kang in 2022. To be more precise, issues on the point estimation, credible intervals and hypothesis testing in Bayesian statistics under uncertain theory are explored, and one application of our method in an IQ test problem is also given in this paper.

Published
2024
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22. Diagnostic evaluation of deep learning accelerated lumbar spine MRI

Author

Awan, Komal M, Goncalves Filho, Augusto Lio M, Tabari, Azadeh, Applewhite, Brooks P, Lang, Min, Lo, Wei-Ching, Sellers, Robert, Kollasch, Peter, Clifford, Bryan, Nickel, Dominik, Husseni, Jad, Rapalino, Otto, Schaefer, Pamela, Cauley, Stephen, Huang, Susie Y, and Conklin, John

Abstract

Background and Purpose Deep learning (DL) accelerated MR techniques have emerged as a promising approach to accelerate routine MR exams. While prior studies explored DL acceleration for specific lumbar MRI sequences, a gap remains in comprehending the impact of a fully DL-based MRI protocol on scan time and diagnostic quality for routine lumbar spine MRI. To address this, we assessed the image quality and diagnostic performance of a DL-accelerated lumbar spine MRI protocol in comparison to a conventional protocol.Methods We prospectively evaluated 36 consecutive outpatients undergoing non-contrast enhanced lumbar spine MRIs. Both protocols included sagittal T1, T2, STIR, and axial T2-weighted images. Two blinded neuroradiologists independently reviewed images for foraminal stenosis, spinal canal stenosis, nerve root compression, and facet arthropathy. Grading comparison employed the Wilcoxon signed rank test. For the head-to-head comparison, a 5-point Likert scale to assess image quality, considering artifacts, signal-to-noise ratio (SNR), anatomical structure visualization, and overall diagnostic quality. We applied a 15% noninferiority margin to determine whether the DL-accelerated protocol was noninferior.Results No significant differences existed between protocols when evaluating foraminal and spinal canal stenosis, nerve compression, or facet arthropathy (all p> .05). The DL-spine protocol was noninferior for overall diagnostic quality and visualization of the cord, CSF, intervertebral disc, and nerve roots. However, it exhibited reduced SNR and increased artifact perception. Interobserver reproducibility ranged from moderate to substantial (κ = 0.50–0.76).Conclusion Our study indicates that DL reconstruction in spine imaging effectively reduces acquisition times while maintaining comparable diagnostic quality to conventional MRI.

Published
2024
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23. Atopic dermatitis (eczema) guidelines: 2023 American Academy of Allergy, Asthma and Immunology/American College of Allergy, Asthma and Immunology Joint Task Force on Practice Parameters GRADE– and Institute of Medicine–based recommendations.

Author

Chu, Derek K., Schneider, Lynda, Asiniwasis, Rachel Netahe, Boguniewicz, Mark, De Benedetto, Anna, Ellison, Kathy, Frazier, Winfred T., Greenhawt, Matthew, Huynh, Joey, Kim, Elaine, LeBovidge, Jennifer, Lind, Mary Laura, Lio, Peter, Martin, Stephen A., O'Brien, Monica, Ong, Peck Y., Silverberg, Jonathan I., Spergel, Jonathan M., Wang, Julie, and Wheeler, Kathryn E.

Published
2024
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24. Beyond the heart in hypofractionated radiotherapy and in the transition from 3D to IMRT/VMAT.

Author

Mondragon, Lorena Lio, Lopez, Hidralba Pérez, Diaz, Adolfo Fernández, Avilés Lio, Iván, and Olmos Guzman, Alejandro

Abstract

Background: The knowledge of the risks induced by radiation with hypofractionation regimens has only recently been estimated together with its implementation as a management standard. However, the dose to other risk organs with intensity-modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT) is not clear, that is why this is only a reference study of radiation doses to organs at risk in hypofractionation in our center. Materials and methods: We completed a retrospective and observational analysis of 1398 patients treated with adjuvant hypofractionated radiotherapy from 2015 to 2018, using the clinical records and dose-volume histogram of patients treated with moderate hypofractionated adjuvant radiotherapy. To analyze the institutional experience on the dosimetry of the esophagus and liver as risk organs in the use of moderate adjuvant hypofractionated radiotherapy in breast cancer. Results: The dosimetry of the esophagus was 3271 cGy DMax, 177 cGy DMed, 68 cGy D50%, 500 cGy DcMAX with 3D RT and 4124 cGy DMax, 1242 cGy DMed, 934.50 cGy D50%, 3213 cGy DcMAX with IMRT/VMAT and the dosimetry for the liver was for right breast cancer 466 cGy DMed, 102 cGy D50% and 8% V20, for left breast cancer 22 cGy DMed, 6.10 cGy D50% and 0.3% V20. Conclusion: The statistically significant differences in irradiation show the lack of consensus on the optimal restrictions in hypofractionation regimens to reduce clinical sequela; consequently, the variability in the specification of each radiation oncologist is observed; standardization in our center can lead to improvement in the quality of treatments. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Accuracy of intraoral optical scan versus stereophotogrammetry for complete-arch digital implant impression: An in vitro study.

Author

Pozzi, Alessandro, Agliardi, Enrico, Lio, Fabrizio, Nagy, Katalin, Nardi, Alessandra, and Arcuri, Lorenzo

Subjects
PHOTOGRAMMETRY, SCANNING systems, IN vitro studies, EUCLIDEAN distance, DENTAL impressions, DIGITAL dental impression systems, DIGITAL technology
Abstract

Purpose: To assess and compare the accuracies of intraoral scanners (IOS) and stereophotogrammetry (SPG) devices for complete-arch digital implant impressions. Methods: A 4-analog model was digitized using a desk scanner to obtain a reference file. Thirty test scans were conducted using the investigated IOS device, while an additional 30 scans were performed using the SPG device. Using the best-fit algorithm, the resulting 60 test files were aligned with the reference file. Linear (ΔX, ΔY, and ΔZ-axis) and angular deviations (ΔANGLE) were evaluated. Three-dimensional (3D) deviation was calculated based on the Euclidean distance (ΔEUC). The analysis was stratified according to the scanning device and implant position. Fisher's F and t-tests were used to compare the variances and expected values of the two scanning systems. Results: IOS expressed a higher 3D (ΔEUC) mean deviation than SPG (52.8 µm vs. 33.4 µm, P < 0.0001), with extreme measurements up to 181.9 µm. A significantly higher standard deviation (SD) was associated with IOS (37.1 µm vs. 17.7 µm, P < 0.0001). Considering angular deviations, the IOS showed slightly higher angular mean deviations (ΔANGLE) than the SPG (0.28° vs. 0.24°, P = 0.0022), with extreme measurements of up to 0.73°. The SPG SD values were significantly lower than the IOS SD values (0.14° vs. 0.04°, P < 0.0001). Conclusions: The SPG showed significantly higher 3D and angular accuracies for complete arch implant impressions, with consistent repeatability. IOS scanning revealed significantly higher extreme deviations exceeding the acceptable threshold value. Despite study limitations, SPG appears more feasible than IOS for complete-arch digital implant impressions. [ABSTRACT FROM AUTHOR]

Published
2024
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27. The intertwining of healthcare-associated infections and COVID-19 in Italian intensive care units: an analysis of the SPIN-UTI project from 2006 to 2021.

Author

Barchitta, M., Maugeri, A., Favara, G., Lio, R. Magnano San, La Rosa, M.C., D'Ancona, F., and Agodi, A.

Abstract

Although healthcare-associated infections (HAIs) pose an extraordinary burden on public health, the impact of coronavirus disease 2019 (COVID-19) is still a matter of debate. To describe trends of HAIs in Italian intensive care units (ICUs) from 2006 to 2021, and to compare characteristics and outcomes of patients with or without COVID-19. We evaluated patients participating in the 'Italian Nosocomial Infections Surveillance in Intensive Care Units' (SPIN-UTI) project, who were admitted to ICUs for more than 48 h. Data regarding diagnosis, clinical conditions, therapies, treatments and outcomes of COVID-19 patients were also collected. From a total of 21,523 patients from 2006 to 2021, 3485 (16.2%) presented at least one HAI. We observed an increasing trend for both the incidence of patients with HAI and the incidence density of HAIs (P -trend <0.001). Compared with the pre-pandemic period, the incidence density of HAIs increased by about 15% in 2020–2021, with pneumoniae being the greatest contributors to this increase (P -trend <0.001). Moreover, incidence of HAIs was higher in ICUs dedicated to COVID-19 patients (P <0.001), who showed a greater risk of HAIs and death than patients without COVID-19 (P -values <0.001). Accordingly, the mortality in ICUs increased over the years and doubled during the pandemic (P -trend <0.001). Notably, co-infected patients had higher mortality (75.2%) than those with COVID-19 (66.2%) or HAI (39.9%) alone, and those without any infection (23.2%). Our analysis provides useful insight into whether and how the COVID-19 pandemic influenced HAI incidence and death in Italian ICUs, highlighting the need for evaluation of the long-term effects of the pandemic. [ABSTRACT FROM AUTHOR]

Published
2023
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28. A Subsumption Scheme for Emergent Collaboration of Self-Driving Vehicles in Intersections⁎⁎The research leading to these results has been performed in part within the project “VeDi 2025 – Veicolo Digitale 2025” co-funded by MIMIT (Fondo Crescita Sostenibile) and Provincia Autonoma di Trento, Project nr. F/040026/00/X31 grant agreement number 2049 dated 07/05/2020 and in part within the EU-funded program FSE REACT EU, D.M.1062 by the Italian Ministry of Education.

Author

Cherubini, Antonello, Rosati Papini, Gastone Pietro, Plebe, Alice, Giugliano, Angela, Muro, Mirko, and Da Lio, Mauro

Abstract

This paper introduces a decentralized collaboration mechanism for self-driving vehicles at intersections, employing a subsumption scheme that re-uses individual agents’ motion planning. Agents exchange intended trajectories and adjust their decision-making based on received intentions. Agents’ action selection is carried out via competition of (many) motion plans. The results of this competition are emergent, safe behaviors. Evaluation with two and three vehicles at an orthogonal intersection showcases effective collaboration, where safety is ensured by reusing agents’ motion planning within the subsumption scheme.

Published
2024
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29. Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications

Author

Li, Ming, Micheli, Alessio, Wang, Yu Guang, Pan, Shirui, Lio, Pietro, Gnecco, Giorgio Stefano, and Sanguineti, Marcello

Abstract

Deep neural networks for graphs (DNNGs) represent an emerging field that studies how the deep learning method can be generalized to graph-structured data. Since graphs are a powerful and flexible tool to represent complex information in the form of patterns and their relationships, ranging from molecules to protein-to-protein interaction networks, to social or transportation networks, or up to knowledge graphs, potentially modeling systems at very different scales, these methods have been exploited for many application domains.

Published
2024
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30. A novel inhibitory BAK antibody enables assessment of non-activated BAK in cancer cells

Author

Subas Satish, Hema Preethi, Iyer, Sweta, Shi, Melissa X., Wong, Agnes W., Fischer, Karla C., Wardak, Ahmad Z., Lio, Daisy, Brouwer, Jason M., Uren, Rachel T., Czabotar, Peter E., Miller, Michelle S., and Kluck, Ruth M.

Abstract

BAX and BAK are pro-apoptotic members of the BCL2 family that are required to permeabilize the mitochondrial outer membrane. The proteins can adopt a non-activated monomeric conformation, or an activated conformation in which the exposed BH3 domain facilitates binding either to a prosurvival protein or to another activated BAK or BAX protein to promote pore formation. Certain cancer cells are proposed to have high levels of activated BAK sequestered by MCL1 or BCLXL, thus priming these cells to undergo apoptosis in response to BH3 mimetic compounds that target MCL1 or BCLXL. Here we report the first antibody, 14G6, that is specific for the non-activated BAK conformer. A crystal structure of 14G6 Fab bound to BAK revealed a binding site encompassing both the α1 helix and α5-α6 hinge regions of BAK, two sites involved in the unfolding of BAK during its activation. In mitochondrial experiments, 14G6 inhibited BAK unfolding triggered by three diverse BAK activators, supporting crucial roles for both α1 dissociation and separation of the core (α2-α5) and latch (α6-α9) regions in BAK activation. 14G6 bound the majority of BAK in several leukaemia cell lines, and binding decreased following treatment with BH3 mimetics, indicating only minor levels of constitutively activated BAK in those cells. In summary, 14G6 provides a new means of assessing BAK status in response to anti-cancer treatments.

Published
2024
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31. RLPTO: A Reinforcement Learning-Based Performance-Time Optimized Task and Resource Scheduling Mechanism for Distributed Machine Learning

Author

Lu, Xiaofeng, Liu, Chao, Zhu, Senhao, Mao, Yilu, Lio, Pietro, and Hui, Pan

Abstract

With the wide application of deep learning, the amount of data required to train deep learning models is becoming increasingly larger, resulting in an increased training time and higher requirements for computing resources. To improve the throughput of a distributed learning system, task scheduling and resource scheduling are required. This article proposes to combine ARIMA and GRU models to predict the future task volume. In terms of task scheduling, multi-priority task queues are used to divide tasks into different queues according to their priorities to ensure that high-priority tasks can be completed in advance. In terms of resource scheduling, the reinforcement learning method is adopted to manage limited computing resources. The reward function of reinforcement learning is constructed based on the resources occupied by the task, the training time, the accuracy of the model. When a distributed learning model tends to converge, the computing resources of the task are gradually reduced so that they can be allocated to other learning tasks. The results of experiments demonstrate that RLPTO tends to use more compu-ting nodes when facing tasks with large data scale and has good scalability. The distributed learning system reward experiment shows that RLPTO can make the computing cluster get the largest reward.

Published
2023
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32. Robust and Sample-Efficient Estimation of Vehicle Lateral Velocity Using Neural Networks With Explainable Structure Informed by Kinematic Principles

Author

Lio, Mauro Da, Piccinini, Mattia, and Biral, Francesco

Abstract

This paper presents kinematics-structured neural networks (KS-NN) for the lateral speed estimation of vehicles. The internal structure of the networks is designed to incorporate the kinematic principles, enhancing the physical explainability and generalization capacity. Both the internal structure and training method are devised for better generalization performance. Various linear and nonlinear variants of our estimator are assessed for accuracy and robustness. The approach is validated using an openly accessible dataset with two race cars. The performance of the novel networks is evaluated against Luenberger, neural network, factor graph and Kalman filter estimators from the literature. In comparison with a Luenberger kinematic observer, our networks improve noise rejection, and overcome the well-known observability problem for low yaw rates. Compared to existing neural network estimators, our networks exhibit better generalization capacity, are more sample-efficient, require fewer learnable parameters, and their structure is physically explainable.

Published
2023
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33. P218 CONTINUOUS STELLATE GANGLION BLOCK FOR VENTRICULAR ARRHYTHMIAS: SINGLE CENTER EXPERIENCE, SYSTEMATIC REVIEW, AND COMPARISON WITH EPIDURAL ANAESTHESIA

Author

Morena, Arianna, Angelini, Filippo, Toscano, Antonio, Gravinese, Carol, Frea, Simone, Bocchino, Pier Paolo, Boretto, Paolo, Gallone, Guglielmo, De Lio, Giulia, Saglietto, Andrea, Giunta, Matteo, Costamagna, Andrea, Brazzi, Luca, Rinaldi, Mauro, Anselmino, Matteo, De Ferrari, Gaetano Maria, and Dusi, Veronica

Published
2025
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34. P217 PERCUTANEOUS LEFT STELLATE GANGLION BLOCK FOR THE ACUTE MANAGEMENT OF SUPRAVENTRICULAR ARRHYTHMIAS

Author

Morena, Arianna, Frea, Simone, Angelini, Filippo, Gravinese, Carol, Bocchino, Pier Paolo, Boretto, Paolo, Bruno, Francesco, Saglietto, Andrea, Gallone, Guglielmo, De Lio, Giulia, Toscano, Antonio, Forni, Jacopo, Giordano, Mario, Lomartire, Gianluca, Giannino, Giuseppe, Ferraris, Federico, Anselmino, Matteo, De Ferrari, Gaetano Maria, and Dusi, Veronica

Published
2025
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35. The global reach of artificial intelligence in atopic dermatitis: The quality and reliability of ChatGPT responses in 8 languages

Author

Sulejmani, Pranvera, Negris, Olivia, Aoki, Valeria, Aubert, Helène, Chu, Chia-Yu, Deleuran, Mette, El Hachem, May, Eichenfield, Lawrence, Mosca, Ana, Orfali, Raquel Leão, Saint Aroman, Marketa, Stalder, Jean-Francois, Taieb, Alain, Torrelo, Antonio, Troya, David, Trzeciak, Magdalena, Vesttergaard, Christian, Wollenberg, Andreas, and Lio, Peter

Published
2024
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36. Practical management of ocular surface disease in patients with atopic dermatitis, with a focus on conjunctivitis: A review.

Author

Shi, Vivian Y., Chamberlain, Winston, Siegfried, Elaine, Kraff-Cooper, Cheryl, Beckman, Kenneth, Lio, Peter, Paller, Amy S., and Simpson, Eric

Abstract

Atopic dermatitis (AD) is a chronic inflammatory skin disease that can significantly decrease quality of life. AD is commonly associated with comorbidities including ocular surface disease (OSD). Conjunctivitis is the most common OSD associated with AD and can increase in incidence with use of monoclonal antibody biologics that target the type 2 inflammatory pathway. The objective of this review is to raise awareness of comorbid OSD in AD patients that dermatologists may encounter, with a focus on conjunctivitis, and equip dermatologists to address mild ocular concerns. We provide background on the subtypes and pathogenesis of comorbid OSD in AD patients and describe OSD associated with type 2 inflammation-inhibiting AD biologics. We also discuss screening and diagnosis, recommended treatment options for dermatologists, and when to refer to an eye care specialist. This multispecialty approach aims to support the overall health of AD patients and provide optimal patient care. [ABSTRACT FROM AUTHOR]

Published
2023
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38. Beyond the Pandemic - Poverty and School Education in Scotland.

Author

McKinney, Stephen J., Graham, Archie, Hall, Stuart, Hunter, Katie, Jaap, Angela, Lowden, Kevin, MacDougall, Lindsay, McKendrick, John H., Mtika, Peter, Moscardini, Lio, Reid, Lisamarie, Ritchie, Michelle, Robson, Dean, Shanks, Rachel, Stettin, Sebastian, and Wilson, Alastair

Subjects
COVID-19 pandemic, POVERTY
Abstract

The introduction of Universal Credit and the effects of the economic crisis precipitated by the Covid-19 pandemic, compounded by the Russian invasion of Ukraine, have all contributed to a rise in the levels of poverty and child poverty in Scotland and the wider United Kingdom. The rise in child poverty will have an impact on an increasing number of children and young people and their effective engagement with school education. This article presents a series of research findings and insights by leading researchers from Scottish Universities on key themes in Scottish education that were highly relevant in the pre-Covid and pre-war era, themes that will continue to be highly relevant in the forthcoming years. The themes are: Education in Local Child Poverty Action Reports; Digital Poverty and Education; School Uniform; Challenges for music education in Scotland and Teacher preparation for educational inclusion. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Sotrovimab therapy elicits antiviral activities against Omicron BQ.1.1 and XBB.1.5 in sera of immunocompromised patients

Author

Bruel, Timothée, Vrignaud, Lou-Léna, Porrot, Françoise, Staropoli, Isabelle, Planas, Delphine, Guivel-Benhassine, Florence, Puech, Julien, Prot, Matthieu, Munier, Sandie, Bolland, William Henry, Soulié, Cathia, Zafilaza, Karen, Lusivika-Nzinga, Clovis, Meledge, Marie-Laure, Dorival, Céline, Molino, Diana, Péré, Hélène, Yordanov, Youri, Simon-Lorière, Etienne, Veyer, David, Carrat, Fabrice, Schwartz, Olivier, Marcelin, Anne-Geneviève, Martin-Blondel, Guillaume, Garcia, Magalie, Giraud, Valentin, Metais, Agathe, Cazenave-Roblot, Fance, Martellosio Anne-Marie Ronchetti, Jean-Philippe, Gabas, Thomas, Hadjadj, Naima, Salanoubat, Célia, Chabrol, Amélie, Housset, Pierre, Pardon, Agathe, Faucon, Anne-Laure, Caudwell, Valérie, Roland Liblau, Latifa Hanafi, Alric, Laurent, Pugnet, Grégory, Mourguet, Morgane, Bories, Eva, Bonnet, Delphine, Charpentier, Sandrine, Delobel, Pierre, Debard, Alexa, Beck, Colleen, Boumaza, Xavier, Fanny Lanternier, Stella Rousset, Delage, Claire, Pires, Elisabete Gomes, Cheminant, Morgane, Anthony Chauvin, Nathalie Chavarot, Véronique Delcey Simon Bessis, Xavier Eyer, Cresta, Mélanie, Pélagie Thibaut, Romain Gueneau, Nadal, Marine, Siguier, Martin, Bachir, Marwa, Valérie Pourcher, Christia Palacios, Melenotte, Cléa, Faycal, Antoine, Berot, Vincent, Brin, Cécile, Djebara, Siham, Zafilaza, Karen, Marot, Stéphane, Sayon, Sophie, Leducq, Vincent, Malet, Isabelle, Teyssou, Elisa, Karine Lacombe, Adélie Gothland, Aad, Yasmine Abi, Chiarabini, Thibault, Feliho, Raynald, Valin, Nadia, Brigant, Fabien, Boize, Julien, Thiébaud, Pierre-Clément, Moreau, Marie, Nathalie De Castro, Charlotte Billard, Liégeon, Geoffroy, Denis, Blandine, Molina, Jean-Michel, André Cabié, Lucia Etheve, Abel, Sylvie, Cabras, Ornella, Guitteaud, Karine, François Vincent Dubee, Sandrine Pierre-, Ndiaye, Diama, Pehlivan, Jonathan, Phelippeau, Michael, Alexandre Duvignaud, Rafael Mahieu, Pistone, Thierry, Desclaux, Arnaud, Neau, Didier, Jean-François Faucher, Charles Cazanave, Festou, Benjamin, Dupuy-Grasset, Magali, Loustaud-Ratti, Véronique, Nathan Peiffer- Smadja, Delphine Chainier, Choquet, Christophe, Da Conceicao, Olivia, Thy, Michael, Collas, Lio, Godard, Cindy, Bouzid, Donia, Ing, Vittiaroat, Pereira, Laurent, Pavlowsky, Thomas, RavautAntoine Asquier-Khati, Camille, Boutoille, David, Chauveau, Marie, Deschanvres, Colin, Audrey Le Bot, François Raffi, Cailleaux, Marine, Benezit, François, Maillard, Anne, Hue, Benoit, François Coustilleres, Pierre Tattevin, Carvalho-Schneider, Claudia, Jamard, Simon, Petit, Laeticia, Natacha Mrozek, Karl Stefic, Theis, Clément, Vidal, Magali, Sauvat, Léo, Benjamin Lefèvre, Delphine Martineau, Baronnet, Guillaume, Florence Ader, Agnès Didier, Perpoint, Thomas, Conrad, Anne, Chabert, Paul, Aurélie Martin, Pierre Chauvelot, Loubet, Paul, Mazet, Julien, Larcher, Romaric, Mathilde Devaux Jérôme Frey, Didier Laureillard, Woerlen, Amos, Remillon, Aline, Absensur-Vuillaume, Laure, Albert Trinh-Duc, Pauline Bouquet, Philippe Petua, Patrick Rispal, Aurore Perrot, Julien Carillo, Delavigne, Karen, Cougoul, Pierre, Dion, Jérémie, Mathieu Blot, Odile Rauzy, Sixt, Thibault, Moretto, Florian, Charles, Carole, Sophie Circosta, Lionel Piroth, Leger, Lydia, Arulananthan, Arulvani, Lascoux, Carine, Valérie, Pascaline, Yazdan Yazdanpanah, Leia Becam, Petrov-Sanchez, Ventzislava, Diallo, Alpha, Le Mestre, Soizic, Le Meut Isabelle Goderel, Guillaume, Chau, Frédéric, Soltana, Brahim, Chane Tang, Jessica, Guedj, Jérémie, and Caille, Yvanie

Abstract

Antibodies effective against the recent Omicron sublineages are missing. By taking advantage of a multi-centric prospective cohort of immunocompromised individuals treated for mild-to-moderate COVID-19, Bruel et al. show that administration of 500 mg of sotrovimab induces serum neutralization and antibody-dependent cellular cytotoxicity of BQ.1.1 and XBB.1.5. Therefore, sotrovimab may remain a therapeutic option against these variants.

Published
2023
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46. Budd–Chiari syndrome (BCS): a challenging diagnosis not to be overlooked—single center report and pictorial essay.

Author

Leoni, F. G., Magnano San Lio, P., De Molo, C., Bakken, S., Ferronato, M., Dietrich, C. F., and Serra, C.

Abstract

Budd–Chiari syndrome (BCS) is a rare disease with a variable clinical presentation and often late diagnosis. Doppler ultrasonography (DUS) permits to determine the site of the obstructed venous tracts, the thrombotic or non-thrombotic nature of the obstruction with its morphologic features and the flow-pattern alterations. Other non-specific findings, which are seen in most of the other liver diseases, include ascites, hepatosplenomegaly and caudate hypertrophy. The aim of this study is to show our experience in BCS reporting retrospectively 15 cases referred to our hepatology center between 2017 and 2021. Four selected cases depict the extreme heterogeneous behaviour of BCS and highlight the importance of DUS as a diagnostic tool when there is a clinical suspicion. In patients, mainly young, who present with ascites and abdominal pain, BCS has to be considered and DUS is the first imaging technique to be performed to rule it out. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Impact of computed-tomography defined sarcopenia on outcomes of older adults undergoing transcatheter aortic valve implantation.

Author

Gallone, Guglielmo, Depaoli, Alessandro, D'Ascenzo, Fabrizio, Tore, Davide, Allois, Luca, Bruno, Francesco, Casale, Maurizio, Atzeni, Francesco, De Lio, Giulia, Bocchino, Pier Paolo, Piroli, Francesco, Angelini, Filippo, Angelini, Andrea, Scudeler, Luca, De Lio, Francesca, Andreis, Alessandro, Salizzoni, Stefano, La Torre, Michele, Conrotto, Federico, and Rinaldi, Mauro

Abstract

The adoption of Computed tomography (CT)-defined sarcopenia to risk stratify transcatheter aortic valve implantation (TAVI) candidates remains limited by a lack of both standardized definition and evidence of independent value over currently adopted mortality prediction tools. 391 consecutive TAVI patients with pre-procedural CT scan were included (81 ​± ​6 years, 57.5% male, STS-PROM score 4.4 ​± ​3.6%) and abdominal muscle retrospectively quantified. The two definitions of radiologic sarcopenia previously adopted in TAVI studies were compared (psoas muscle area [PMA] at the L4 vertebra level: "PMA-sarcopenia"; indexed skeletal muscle area at the L3 vertebra level: "SMI-sarcopenia"). The primary endpoint was longer available-term all-cause mortality. Secondary endpoints were Valve Academic Research Consortium-2-defined in-hospital and 30-day outcomes. SMI- and PMA-sarcopenia were present in 192 (49.1%) and 117 (29.9%) patients, respectively. After a median of 24 (12–30) months follow-up, 83 (21.2%) patients died. PMA-(adj-HR 1.81, 95%CI 1.12–2.93, p ​= ​0.015), but not SMI-sarcopenia (adj-HR 1.23, 95%CI 0.76–2.00, p ​= ​0.391), was associated with all-cause mortality independently of age, sex and in-study outcome predictors (atrial fibrillation, hemoglobin, history of peripheral artery disease, cancer and subcutaneous adipose tissue). PMA-defined sarcopenia provided additive prognostic value over current post-TAVI mortality risk estimators including STS-PROM (p ​= ​0.001), Euroscore II (p ​= ​0.025), Charlson index (p ​= ​0.025) and TAVI2-score (p ​= ​0.020). Device success, early safety, clinical efficacy and 30-day all-cause death were unaffected by sarcopenia status regardless of definition. PMA-sarcopenia (but not SMI-sarcopenia) is predictive of 2 year mortality among TAVI patients. The prognostic information provided by PMA-sarcopenia is independent of the tools currently adopted to predict post-TAVI mortality in clinical practice. [Display omitted] • Computed tomography-defined sarcopenia predicts all-cause mortality among older adults undergoing TAVI. • PMA-sarcopenia is associated with short- and long-term cardiovascular mortality and long-term all-cause mortality. • PMA-sarcopenia provides prognostic information independent of current tools adopted to predict postTAVI mortality. [ABSTRACT FROM AUTHOR]

Published
2022
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48. Surface-Enhanced Raman Spectroscopy on an As-deposited Fano Resonance Multilayer Substrate

Author

Rizzuto, Carmen, Ferraro, Antonio, Nucera, Antonello, Lio, Giuseppe Emanuele, Barberi, Riccardo Cristoforo, and Castriota, Marco

Abstract

In this work, we exploit the use of non-patterned multilayer thin films as substrates for surface-enhanced Raman spectroscopy (SERS) investigation. An appropriate selection of materials and thickness allows obtaining Fano resonance exhibiting high peak reflection at the same working wavelength of SERS apparatus. The proposed system is constituted by Ti/Ag/ZnO/Ag/Ti deposited on a glass substrate by a sputtering technique. The SERS effect provided by the Fano resonance was investigated by micro-Raman spectroscopy through the analysis of solutions of lithium perchlorate in propylene carbonate at salt concentrations of 0.1, 0.5, 1.0, and 2.0 M and compared to a reference substrate (glass substrate) with an average enhancement of all the bands around 3. The high flexibility in obtaining easily different resonance wavelengths combined with low cost and large area fabrication technology represents the main advantage of the proposed multilayer system for SERS investigation.

Published
2023
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50. El debate entre la imagen de horror y la representación del dolor. Reflexiones en torno a las creaciones artísticas dentro de los museos de memoria en América Latina.

Author

LIO FLORES, MELISA

Abstract

Copyright of Anuario Colombiano de Historia Social y de la Cultura is the property of Universidad Nacional de Colombia, Facultad de Ciencias Humanas, Departamento de Historia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
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