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52. Burnout among surgeons before and during the SARS-CoV-2 pandemic: an international survey
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Shalaby, M, Elsheikh, A, Hamed, H, Null, N, Elsheik, A, Sakr, A, Fouad, A, Kassem, A, Elfeki, H, Madbouly, K, Alzahrani, K, Marzouk, K, Ali, M, Helal, M, Elsorogy, M, Farid, M, Di Lorenzo, N, Sileri, P, Wexner, S, Khafagy, W, Adeyeye, A, El-Hussuna, A, Frontali, A, Saklani, A, Lelpo, B, Molena, D, Pandey, D, Karbovnichaya, E, Pata, F, Van Ramshor, G, Gallo, G, Spolverato, G, Pellino, G, Bagaglini, G, Rubio-Perez, I, Negoi, I, Frigerio, I, Juloski, J, Ninkovic, M, Franceschilli, M, Azer, M, Efetov, S, Ippoliti, S, Garoufalia, Z, Fazli, M, Dogjani, A, Cherfa, H, Omar, T, Minoldo, J, Alvarez Gallesio, J, Quesada, M, Bacher, A, Kropshofer, S, Ponholzer, F, Tesik, P, Gehwolf, P, Isci, S, Uranitsch, S, Berchtold, V, Samadov, E, Abualsel, A, Mitul, A, Islam, S, Vanlander, A, Van Praet, C, Van Daele, E, Vanommeslaeghe, H, Stijns, J, Abosi-Appeadu, K, Depuydt, M, Allaeys, M, Yves, V, Colleoni, R, Slavchev, M, Elbahrawy, A, Luc, J, Milford, K, Romic, I, Monti, A, Haydal, A, Klein, M, Ocklind, M, Hadi, S, Alqasaby, A, Elganash, A, Daibes, A, Elsaied, A, Elhattab, A, Lotfy, A, Alnashar, A, Elnour, A, Abdelhalim, A, Abdelhamid, A, Abdellatif, A, Abdelmohsen, A, Abdelrafee, A, Elhawary, A, Zidan, A, Eleshra, A, Elkafoury, A, Ezz, A, Abdelmomen, A, Elkased, A, Fawzy, A, Elkhouly, A, Hemidan, A, Abbas, A, Ismail, A, Attia, A, Farid, A, Elnakash, A, Negida, A, Soliman, A, Taki-Eldin, A, Albadry, A, Sanad, A, Elbatal, A, Elgazar, A, Saleh, A, Fahiem, A, Mohamed, A, Nageeb, A, Elmetwally, A, Alkhalegy, A, El-Wakeel, A, Shemes, A, Fadel, B, Lutfi, B, Ali, D, Abolnasr, K, Gamal, E, Abdallah, E, Ahmed, E, Salem, E, Hamed, E, Elshikh, E, Enad, F, Sarhan, F, Abouelnagah, G, Tagg, G, Atef, G, Shaker, G, Beshir, H, Zakaria, H, Barbary, H, Elgendy, H, Sharaf, H, Elnaghi, H, Elghadban, H, Elzayat, I, Fakhr, I, Sallam, I, Abdelmoneim, I, Elnemr, I, Zewar, K, Elalfy, K, Sabet, K, Mansour, K, Osman, K, Elgaly, M, Shams, M, Abozeid, M, Mohammed, M, Elkatt, M, Samaha, M, Mikhael, M, Khalil, M, Alhendawey, M, Elrefai, M, Gabr, M, Fayed, M, Abdelmaksoud, M, Salem, M, Mohamed Mohamed, M, Nabeeh, M, Elsayed, M, Abdelmonem, M, Eldemery, M, Elmesery, M, Fikry, M, Gharbia, M, Omar, M, Elmoghazy, M, Ghazala, M, Hamed, M, Metwally, M, Arnouse, M, Amen, M, Amary, M, Kandel, M, Abuzeid, M, Rabea, M, Sobh, M, Taman, M, Fathy, M, Moustafa, M, Zuhdy, M, Adel, M, Alaa, M, Alawady, M, Edassy, M, Eldesouki, M, Salim, M, Sanad, M, Khalaf, M, Henes, M, Abdelglil, M, Mohmmed, M, Abdelkhalik, M, Shetiwy, M, Elshazli, M, Hegazy, M, Ahmed, M, Abdelhalim, M, Shahein, M, Sofan, M, Hammad, M, Ahmad, M, Milad, N, Farouk, N, Eldesouky, O, Mohamed, O, Mahadel, O, Gaarour, O, Torky, R, Elhafez, R, Adly, R, Nageeb, R, Hamdi, S, Gamal, S, Emile, S, Regal, S, Abdelrasheed, S, Elzeftawy, S, Khashshan, S, Ashraf, T, Khafagy, T, Nabil, T, Abdelazim, T, Rizk, T, Amr, W, Yousef, Y, Youssef, Y, Castaldi, A, Fiore, A, Hasani, A, Mariani, A, Dagorno, C, Antonio, D, Izzo, G, Addari, G, Mangiameli, G, Rea, L, Pio, L, Paci, M, Andrea, P, De Fatico, G, Elvira, T, Schuldes, A, Rihan, E, Moeslein, G, Lederhuber, H, Botros, I, Jaman, I, Doerner, J, Elseberbihy, J, Sherbiny, K, Ghonim, M, Mikrish, A, Aziz, M, Hatm, M, Archid, R, Gendy, S, Ahmad, S, Charalabopoulos, A, Prodromidou, A, Ioannidis, A, Mpaili, E, Boukorou, G, Papadopoulos, G, Liakakos, T, Styliani, V, Agrawal, A, Jain, A, Rashid, A, Mehraj, A, Brahmachari, S, Lakshmi, H, Vishwakarma, K, Parida, L, Sharma, M, Zaieem, M, Makasarwala, M, Nittala, R, Kumar, S, Vikrantmr, S, Junaid, S, Khuller, S, More, V, Ahmed, A, Alomieri, A, Alhamdany, A, Del, M, Najm, G, Lateef, N, Mcnamara, D, Abdelmageed, M, Majeed, M, Troci, A, Porcu, A, Marano, A, Di Bartolomeo, A, Giani, A, Giardino, A, Canfora, A, Balla, A, Barberis, A, Belli, A, Borasi, A, Manetti, A, Mingoli, A, Morini, A, Maurizi, A, Marra, A, Epifani, A, Iossa, A, Parello, A, Guida, A, Maffioli, A, Scafa, A, Spinelli, A, Matarangolo, A, Picciariello, A, Pirozzi, B, Cirillo, B, Gazia, C, Ratto, C, 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A, Shaikh, A, Qureshi, A, Muhammad, A, Kerawala, A, Aslam, M, Mehr, A, Javed, A, Ahmad, F, Majid, H, Ahmed, H, Daudi, I, Akhtar, K, Niaz, K, Anwer, M, Amir, M, Hanif, M, Asif, M, Raza, M, Khokhar, M, Jameel, M, Nasir, M, Shafique, M, Ateeb, M, Nadeem, M, Shah, R, Waqar, S, Shah, S, Waseem, T, Ghafoor, T, Fatima, T, Bashir, U, Gonzales, E, Ruiz, L, Freitas, C, De Sousa, X, Al-Bahrani, A, Portela, C, Elgazar, E, Robles, E, Khan, I, Jarboa, L, Khawar, M, Echevarria, M, Bashah, M, Dawdi, S, Musthafa, S, Ali, S, Ciubotaru, C, Bonci, E, Muresan, M, Bogdan, S, Ioan, T, Zubayraeva, A, Derinov, A, Zakharenko, A, Novikova, A, Bashlachev, A, Kaldarov, A, Stanislav, B, Gorin, D, Puzenko, D, Kazachenko, E, Ashimov, E, Medkova, I, Ignatov, I, Sergeevich, K, Sidorova, L, Kiselev, M, Danilov, M, Aleksandr, O, Rodimov, S, Garmanovs, T, Kitsenko, Y, Valery, N, Japhet, N, Sibiany, A, Saadeldin, A, Abuosba, A, Alawadhi, A, Alharbi, A, Althumali, A, Alghuliga, A, Alotaibi, A, Abduraboh, A, Kateb, A, Sindy, A, Al Eisa, A, Almulhim, A, Aljawhari, A, Abozeid, A, Saad, A, Alqarni, A, Alwan, A, Alwusaibie, A, Bafaraj, A, Eldeeb, A, Tarabay, A, Alhedaithy, A, Almaghrabi, A, Abed, A, Abdullah, A, Semilan, A, Farag, M, Khudhayr, E, Hussain, M, Abbas, G, Alqudaihi, H, Abualnaja, Y, Shaheen, A, Mubarak, A, Ali, B, Alhazmi, B, Hijazi, B, Abdulrahman, C, Oyedepo, C, Alzamel, H, Tairab, E, Alsuwaimel, M, Hejazi, S, Alnoqaidan, E, Alhussien, F, Jallad, F, Khadwardi, F, Alghamdi, F, Haddad, F, Sauri, F, Alafghani, H, Alfalah, H, Gad, H, Aboelmagid, H, Ibrahim, H, Elzayady, H, Sharafeldin, H, Sembawa, H, Alabbas, H, Abbas, H, Elgamal, H, Alawfi, H, Al-Sadery, H, Abdelmotaleb, H, Al Hassn, I, Mudawi, I, Nekhala, I, Elsanhoury, K, Said, K, Albeshri, K, Albahooth, K, Mohammed, K, Asar, K, Osman, L, Alzamanan, M, Alnabarawi, M, Althobaiti, M, Al Naeb, M, Hassan, M, Abdelhamid, M, Alyami, M, Mirza, M, Sayouh, M, Alkhayat, M, Basendowah, M, Ghunaim, M, Alhussaini, M, Khoj, M, Sbaih, M, Saeed, M, Abdelaziz, N, Malibary, N, Abdo, N, Amer, N, Al Turki, N, Durayb, N, Yassin, N, Akeel, N, Larbi, N, Alsallum, O, Suliman, O, Elsherbiny, O, Abusalem, O, Albalawi, I, Abutalib, R, Alarabi, R, Khan, R, Alazzam, S, Alghamdi, S, Alsawat, S, Salim, S, Alshukr, S, Alzahrani, S, Golea, S, Alowairdhi, T, Salman, U, Abusiam, W, Abualkhair, W, Saber, W, Tashkandi, W, Alhazmi, W, Yassine, W, Alshabi, Y, Ibrahim, Y, Shahin, Y, Aljathlany, Y, Alnahas, Y, Alrashidi, Y, Wali, Z, Ndong, A, Ba, M, Faye, P, Arbutina, D, Milic, L, Cuk, V, Hussein, A, Mccaul, J, Bertels, L, Pohl, L, Arnold, M, Mbatani, N, Oosthuizen, P, Rayamajhi, S, Vosloo, S, Jooma, U, Landaluce-Olavarria, A, Vázquez-Melero, A, Marcos, A, Puerto Puerto, A, De La Hermosa, A, Senent-Boza, A, Ugarte-Sierra, B, Montalbán, B, Martin-Perez, B, Gomez, C, Colás-Ruiz, E, Santos, E, Senra, F, Mora-Guzmán, I, Dziakova, J, Díaz, J, Silva, J, Laina, J, Tallon-Aguilar, L, Di Martino, M, Chacón, M, Frasson, M, Calvo, M, Millan, M, Tejedoe, P, Pérez-Bertólez, S, Turrado-Rodríguez, V, Elsanosi, A, Abdalbakheet, D, Salim, O, Youssef, M, Barbon, C, Bouchrika, A, Maghrebi, H, Loukil, I, Yildiz, A, Dursun, A, Gulcu, B, Calik, B, Eral, B, Yeşilyurt, D, Yakar, F, Akin, F, Kilinc, G, Uslu, G, Tuncer, K, Koc, M, Leventoğlu, S, Sokmen, S, Atici, S, Kaya, T, Dere, Ü, Kırmızı, Y, Ssenono, K, Lule, H, Mbiine, R, Hamza, A, Peediyakkal, S, Varma, G, Mussa, H, Al-Masari, H, Shehata, M, Seiam, M, Nimir, N, Khare, R, Rashid, S, Kazim, S, Gondal, Z, Sherif, A, Ghanem, A, Helmy, A, Ibrahim, A, Elshaer, A, Marzouk, A, Tamburrini, A, Parente, A, Light, A, Diamantopoulou, A, Singh, B, Gurung, B, Frauenfelder, C, Leo, C, Raptis, D, Thakrar, D, Madhuri, T, Tsounaki, E, Garreffa, E, Soggiu, F, Stavrou, G, Ng, H, Tabasi, H, Nasef, H, Kostakis, I, Jeffery, J, Warusavitarne, J, Lund, J, Qurashi, K, Sahnan, K, Tong, K, Orecchia, L, Kaur, M, Zaidi, M, Ganau, M, Curtis, N, Bhatt, N, Machairas, N, Zafar, N, Toma, O, Sarmah, P, Bassuni, M, Davies, J, Shawer, S, Lewis, S, Subramanian, S, Nadeem, U, Njau, A, Tohamy, A, Pakula, A, Simioni, A, Jarvis, B, Skandalakis, G, Hesham, H, Isaiah, I, Villwock, J, Martin, L, Kress, M, Sebelik, M, Lathan, S, Towfigh, S, Holubar, S, Demeester, S, Alshehari, M, Ghabisha, S, Abdulatef, S, Al-Kubati, W, Obadiel, Y, Gots, A, Nakazwe, M, Chipaila, J, Mazingi, D, Shalaby, Mostafa, ElSheikh, Ahmed M., Hamed, Hosam, null, null, Elsheik, Ahmed, Sakr, Ahmad, Fouad, Amgad, Kassem, Amr, Elfeki, Hossam, Madbouly, Khaled, Alzahrani, Khalid H., Marzouk, Khalid, Ali, Mahmoud, Helal, Mohamed Alaa Abdelmoez, Elsorogy, Mohamed, Farid, Mohamed, Di Lorenzo, Nicola, Sileri, Pierpaolo, Wexner, Steven, Khafagy, Wael, Adeyeye, Ademola, El-Hussuna, Alaa, Frontali, Alice, Saklani, Avanish, Lelpo, Benedettao, Molena, Daniela, Pandey, Diwakar, Karbovnichaya, Elena, Pata, Francesco, Van Ramshor, Gabrielle H., Gallo, Gaetano, Spolverato, Gaya, Pellino, Gianluca, Bagaglini, Giulia, Rubio-Perez, Ines, Negoi, Ionut, Frigerio, Isabella, Juloski, Jovan, Ninkovic, Marijana, Franceschilli, Marzia, Azer, Mina, Efetov, Sergey, Ippoliti, Simona, Garoufalia, Zoe, Fazli, Mohammad Rafi, Dogjani, Agron, Cherfa, Harieche Abdennour Abderahim, Omar, Tilioua, Minoldo, Javier, Alvarez Gallesio, José Maria, Quesada, Matias, Bacher, Annica, Kropshofer, Stephan, Ponholzer, Florian, Tesik, Philip, Gehwolf, Philipp, Isci, Sevim, Uranitsch, Stefan, Berchtold, Valeria, Samadov, Elgun, Abualsel, Abdulmenem, Mitul, Ashrarur Rahman, Islam, S. M. Nazmul, Vanlander, Aude, Van Praet, Charles, Van Daele, Elke, Vanommeslaeghe, Hanne, Stijns, Jasper, Abosi-Appeadu, Kessewa, Depuydt, Martijn, Allaeys, Mathias, Yves, Van Nieuwenhove, Colleoni, Ramiro, Slavchev, Mihail, Elbahrawy, Aly, Luc, Jessica G. Y., Milford, Karen, Romic, Ivan, Monti, Alessio, Haydal, Ashraf, Klein, Mads Falk, Ocklind, Miranda E. K., Hadi, Sabah Anwar, Alqasaby, Abdallah, Elganash, Abdelazim, Daibes, Adel Goda Hussein, Elsaied, Adham, Elhattab, Ahmad, Lotfy, Ahmad, Alnashar, Ahmed, Elnour, Ahmed Abd Elbaset Elsayed Abu, Abdelhalim, Ahmed, Abdelhamid, Ahmed, Abdellatif, Ahmed, Abdelmohsen, Ahmed, Abdelrafee, Ahmed, Elhawary, Ahmed Adel, Zidan, Ahmed Azmy, Eleshra, Ahmed, Elkafoury, Ahmed, Ezz, Ahmed, Abdelmomen, Ahmed Ezzat Elghrieb, Elkased, Ahmed Farag, Fawzy, Ahmed, Elkhouly, Ahmed G., Hemidan, Ahmed Gamal Abouelfetouh Ibrahim, Abbas, Ahmed Hosam Eldin Hasan, Ismail, Ahmed Mahmoud Ahmed, Attia, Ahmed Mohamed, Farid, Ahmed Mohammed, Elnakash, Ahmed Mostafa, Negida, Ahmed, Soliman, Ahmed, Taki-Eldin, Ahmed, Albadry, Ali Almahdy Ali, Sanad, Aly, Elbatal, Amira Alsayed Abdelhai, Elgazar, Amr, Saleh, Amr, Fahiem, Andrew, Mohamed, Anwar Yahya A., Nageeb, Ashraf, Elmetwally, Ashraf S., Alkhalegy, Ayman, El-Wakeel, Ayman, Shemes, Ayman, Fadel, Bashir A., Lutfi, Basma Waseem, Ali, Doaa, Abolnasr, Khaled Samir, Gamal, Ehab, Abdallah, Emad, Ahmed, Emad Ali, Salem, Eman Abdalla Mohamed, Hamed, Esmael Ali, Elshikh, Essam, Enad, Farazdaq, Sarhan, Fetoh Alaaeldin Fetoh, Abouelnagah, Galal, Tagg, Gamal Hassan El, Atef, Gehad, Shaker, George Samir Habib, Beshir, Hatem, Zakaria, Hazem M., Barbary, Hesham, Elgendy, Hesham, Sharaf, Hesham, Elnaghi, Hisham, Elghadban, Hosam, Elzayat, Ibrahim, Fakhr, Ibrahim, Sallam, Ibrahim, Abdelmoneim, Ibrahim Tharwat Mohamed, Elnemr, Islam, Zewar, Karem Shahin Mohamed, Elalfy, Khaled, Sabet, Khaled, Mansour, Khaled Yousery Ibrahim, Osman, Khalid Abdalla Abdelgadir, Elgaly, Maher Elesawi Kamel, Shams, Maher, Abozeid, Mahmoud, Mohammed, Mahmoud M., Elkatt, Mahmoud Mohamed, Samaha, Mahmoud Yahia, Mikhael, Marolla Maher Eskander, Khalil, Medhat M. H. A., Alhendawey, Moaaz, Elrefai, Mohamad, Gabr, Mohamed A., Fayed, Mohamed Abdelaziz Mohamed Abdalla M, Abdelmaksoud, Mohamed, Salem, Mohamed Abouelmagd, Mohamed Mohamed, Mohamed Adel, Nabeeh, Mohamed Adel, Elsayed, Mohamed Ahmed Abdelhalim Ahmed, Abdelmonem, Mohamed Ahmed, Ali, Mohamed Anwar Abdel Razik, Eldemery, Mohamed, Elmesery, Mohamed, Fikry, Mohamed, Gharbia, Mohamed, Omar, Mohamed I., Elmoghazy, Mohamed Ibrahim, Ghazala, Mohamed Jomma, Hamed, Mohamed Korayem Fattouh, Metwally, Mohamed, Arnouse, Mohamed Mohamed Hamdy, Amen, Mohamed Mohsen, Amary, Mohamed Mokhtar, Kandel, Mohamed Mosaad, Abuzeid, Mohamed Mostafa, Rabea, Mohamed, Sobh, Mohamed Ramadan, Taman, Mohamed, Fathy, Mohammad, Moustafa, Mohammad Montaser Hassan, Zuhdy, Mohammad, Adel, Mohammed, Alaa, Mohammed, Alawady, Mohammed, Edassy, Mohammed El, Mohammed, Mohammed Mustafa Hassan, Eldesouki, Mohammed Nabil, Salim, Mohammed Said Mahmoud, Sanad, Mohammed, Khalaf, Mohsen George, Henes, Mohsen Michael, Abdelglil, Momen, Mohmmed, Mona Mhmoud, Abdelkhalik, Morsi Mohamed Morsi, Shetiwy, Mosab, Elshazli, Mostafa, Hegazy, Mostafa, Ahmed, Mostafa Mahmoud, Abdelhalim, Mostafa Mohammed, Shahein, Mostafa, Sofan, Mostafa, Hammad, Muhammed Alaa Moukhtar, Ahmad, Mustafa, Milad, Nader, Farouk, Nehal, Eldesouky, Omnia, Mohamed, Omnia Y., Mahadel, Osama Abdel Salam, Gaarour, Osama, Torky, Radwan Abdelsabour, Elhafez, Raheem El-Gohary Abd, Adly, Ramy Magdy, Nageeb, Ramy Mikhael, Hamdi, Salah, Gamal, Sameh, Emile, Sameh Hany, Regal, Samer, Abdelrasheed, Sayed, Elzeftawy, Shady Ahmed, Khashshan, Sohib Mohammed Mohammed, Ashraf, Tamer, Khafagy, Tamer, Nabil, Tamer, Abdelazim, Tarek, Rizk, Tarek Taher, Amr, Wesam, Yousef, Yousef Mohamed, Youssef, Youssef Abdel Aziz, Castaldi, Antonio, Fiore, Antonio, Hasani, Ariola, Mariani, Aurora, Dagorno, Claire, Antonio, D'Alessandro, Izzo, Giuliano, Addari, Giulio, Mangiameli, Giuseppe, Rea, Lo Dico, Pio, Luca, Paci, Marco, Andrea, Police, De Fatico, GSerena, Elvira, Tartaglia, Schuldes, Alejandro Daniel Lira, Rihan, Eslam, Moeslein, Gabriela, Lederhuber, Hans, Botros, Ibram, Jaman, Ismail, Doerner, Johannes, Elseberbihy, John Rezk Hanna, Sherbiny, Kareem El, Ghonim, Mostafa, Mikrish, Amir, Aziz, Mina, Hatm, Mohamed, Archid, Rami, Gendy, Samuel Elkess Morcos, Ahmad, Sufian, Charalabopoulos, Alexandros, Prodromidou, Anastasia, Ioannidis, Argyrios, Mpaili, Eustratia, Boukorou, Garyfallia, Papadopoulos, Georgios, Liakakos, Theodore, Styliani, Vasileiadou, Agrawal, Abhishek, Jain, Amita, Rashid, Arshad, Mehraj, Asif, Brahmachari, Swagata, Lakshmi, Harish Neelamraju, Vishwakarma, Kushagra, Parida, Lalit, Sharma, Meenakshi, Zaieem, Mohammad, Makasarwala, Murtaza, Nittala, Rigved, Kumar, Sanjeev, Vikrantmr, Sharma, Junaid, Sheikh, Khuller, Somyaa, More, Vinal, Ahmed, Abeer Abdul Hameed, Alomieri, Adil, Alhamdany, Arkan Shubber, Del, Muslim Ka, Najm, Ghadah, Lateef, Nawras Falah, Mcnamara, Deborah, Abdelmageed, Mohammed Elkassaby, Majeed, Mudassar, Troci, Albert, Porcu, Alberto, Marano, Alessandra, Di Bartolomeo, Alessandro, Giani, Alessandro, Giardino, Alessandro, Canfora, Alfonso, Balla, Andrea, Barberis, Andrea, Belli, Andrea, Borasi, Andrea, Manetti, Andrea, Mingoli, Andrea, Morini, Andrea, Maurizi, Angela, Marra, Angelo Alessandro, Epifani, Angelo Gabriele, Iossa, Angelo, Parello, Angelo, Guida, Anna, Maffioli, Anna, Scafa, Anthony Kevin, Spinelli, Antonino, Matarangolo, Antonio, Picciariello, Arcangelo, Pirozzi, Brunella, Cirillo, Bruno, Gazia, Carlo, Ratto, Carlo, Foppa, Caterina, Marafante, Chiara, Andrea, Chierici, Tanda, Cinzia, Guerci, Claudio, Don, Cristine, Zigiotto, Daniele, Coniglio, Denise, Sasia, Diego, Visconti, Diego, Altomare, Donato F., Guaitoli, Eleonora, Botteri, Emanuele, Pinotti, Enrico, Martinelli, Fabio, Uggeri, Fabio, Bàmbina, Fabrizio, Falaschi, Federica, Costanzo, Federico, La Torre, Filippo, Milana, Flavio, Abbatini, Francesca, De Lucia, Francesca, Tropeano, Francesca Paola, Colombo, Francesco, Ferrara, Francesco, 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Grace, Abiyere, Henry, Oluwasuyi, Ige, George, Ihediwa, Njokanma, Iloba Gabriel, Aremu, Isiaka, Dare, Julius Kolajo, Abdur-Rahman, Lukman, Ahmad, Misbahu Haruna, Oludara, Mobolaji Adewale, Mohammad, Mohammad Aminu, Adeoluwa, Ojajuni, Situ, Oladele, Agbonrofo, Peter, Kewulere, Raji Taofiq, Aliyu, Yakubu, Adebowale, Yusuf, Galala, Ahmed, Rao, Satish, Waleed, Aasma, Inam, Aatif, Shaikh, Abdul Razaque, Qureshi, Ahmad Uzair, Muhammad, Aneeqah Din, Ahmed, Arooj, Kerawala, Asad Ali, Aslam, Mohammad, Mehr, Asma, Javed, Ayesha, Ahmad, Farooq, Majid, Haroon Javaid, Ahmed, Hassan, Daudi, Irfan, Akhtar, Khalid, Niaz, Khurram, Anwer, Mariyah, Amir, Mohammed, Hanif, Muhammad Amir, Asif, Muhammad, Raza, Muhammad Asif, Khokhar, Muhammad Imran, Jameel, Muhammad Khurram, Nasir, Muhammad, Shafique, Muhammad Salman, Ateeb, Mujammad, Nadeem, Munawar, Shah, Rahmat Ullah, Waqar, Shahzad Hussain, Shah, Shahzad Alam, Waseem, Talat, Ghafoor, Tariq, Fatima, Tauseef, Bashir, Umar, Gonzales, Erick Ivan Huaman, Ruiz, Luis Angel Garcia, Freitas, Carla, De Sousa, Xavier, Al-Bahrani, Ahmed, Portela, Carlos Antonio Sanchez, Elgazar, Elsayed Aly, Robles, Eloy Morasen, Khan, Irfan Jan, Jarboa, Lutfi, Khawar, Mahwish, Echevarria, Miguel Jose Pinto, Bashah, Moataz M., Dawdi, Salahaldeen, Musthafa, Shameel, Ali, Syed Muhammad, Ciubotaru, Cezar, Bonci, Eduard-Alexandru, Muresan, Mihai-Stefan, Bogdan, Stoica, Ioan, Tanase, Zubayraeva, Albina, Derinov, Aleksandr, Zakharenko, Alexander, Novikova, Anastasia, Bashlachev, Andrey, Kaldarov, Ayrat, Stanislav, Berelavichus, Gorin, David, Puzenko, Dmitriy, Kazachenko, Ekaterina, Ashimov, Erkin, Medkova, Iuliia, Ignatov, Ivan, Sergeevich, Kochetkov Viktor, Sidorova, Lyudmila, Kiselev, Michail, Danilov, Michail, Aleksandr, Ogoreltsev, Rodimov, Sergey, Garmanovs, Tatiana, Kitsenko, Yury, Valery, Nekoval, Japhet, Ntezamizero, Sibiany, Abdulrahman, Saadeldin, Abdelhalim, Abuosba, Abdelrahman, Alawadhi, Abdulbari Mohammed, Alharbi, Abdulhamid, Althumali, Abdullah, Alghuliga, Abdullah, Alotaibi, Abdullah, Abduraboh, Abdullah Fayez, Kateb, Abdullah, Sindy, Abdullah, Al Eisa, Abdulmohsen, Alotaibi, Abdulrahman, Almulhim, Abdulrhman, Aljawhari, Adel Ali, Abozeid, Ahmad Mahmoud, Saad, Ahmad, Alqarni, Ahmed, Alwan, Ahmed, Alwusaibie, Ahmed, Bafaraj, Ahmed, Eldeeb, Ahmed, Tarabay, Ahmed, Mohammed, Mahfoudh, Alhedaithy, Alhanouf, Almaghrabi, Alhassan Hesham, Abed, Ali Ibrahim Eldawy, Abdullah, Alqahtani Ali, Semilan, Anmar, Farag, Mohamed, Khudhayr, Essa, Hussain, Marwah, Abbas, Ghanem, Alqudaihi, Heba, Abualnaja, Yousra, Shaheen, Abelnasser, Mubarak, Ashraf Abdelazeem Mohamed, Ali, Bandar Idrees A., Alhazmi, Barrag, Hijazi, Bilal Ahmed, Abdulrahman, Chadi, Oyedepo, Charles Olajide, Alzamel, Heythem, Tairab, Elsanousi Ibrahim Sabir, Alsuwaimel, Munir A., Hejazi, Soha, Alnoqaidan, Emad, Alhussien, Fade Ahmed, Jallad, Fadi Sami, Khadwardi, Faisal, Alghamdi, Faisal Saleh, Haddad, Feras, Sauri, Fozan, Alafghani, Haitham, Alfalah, Haitham, Gad, Hamada, 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Nouf, Larbi, Noureddine, Alsallum, Ofays, Suliman, Omar AAbu, Elsherbiny, Osama, Abusalem, Osama, Albalawi, Ibrahim Altedlawi, Abutalib, Raid Abdullah, Alarabi, Rayan, Khan, Roaa Ghazi, Alazzam, Saleh, Alghamdi, Saleh, Alsawat, Salem, Salim, Sami, Alshukr, Sarah, Alzahrani, Saud, Golea, Smain, Alowairdhi, Tumadher, Salman, Usama, Abusiam, Wael, Abualkhair, Wael, Saber, Wael, Tashkandi, Wail, Alhazmi, Waleed, Tashkandi, Waleed, Yassine, Wassim Abou, Alshabi, Yaser Ahmad, Ibrahim, Yaser, Shahin, Yasser, Ibrahim, Yassin, Aljathlany, Yousef, Alnahas, Yousef, Alrashidi, Yousef, Wali, Zubair, Ndong, Abdourahmane, Ba, Mamadou, Faye, Papa Mamadou, Arbutina, Dragana, Milic, Ljiljana, Cuk, Vladica, Hussein, Abdinafic Mohamud, Mccaul, Jeannie, Bertels, Laurie, Pohl, Linda, Arnold, Marion, Mbatani, Nomonde, Oosthuizen, Pj, Rayamajhi, Shreya, Vosloo, Susan, Jooma, Uzair, Landaluce-Olavarria, Aitor, Vázquez-Melero, Alba, Marcos, Alberto, Puerto Puerto, Alejandro, De La Hermosa, Alicia Ruiz, 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Tamburrini, A, Parente, A, Light, A, Diamantopoulou, A, Singh, B, Gurung, B, Frauenfelder, C, Leo, C, Raptis, D, Thakrar, D, Madhuri, T, Tsounaki, E, Garreffa, E, Soggiu, F, Stavrou, G, Ng, H, Tabasi, H, Nasef, H, Kostakis, I, Jeffery, J, Warusavitarne, J, Lund, J, Qurashi, K, Sahnan, K, Tong, K, Orecchia, L, Kaur, M, Zaidi, M, Ganau, M, Curtis, N, Bhatt, N, Machairas, N, Zafar, N, Toma, O, Sarmah, P, Bassuni, M, Davies, J, Shawer, S, Lewis, S, Subramanian, S, Nadeem, U, Njau, A, Tohamy, A, Pakula, A, Simioni, A, Jarvis, B, Skandalakis, G, Hesham, H, Isaiah, I, Villwock, J, Martin, L, Kress, M, Sebelik, M, Lathan, S, Towfigh, S, Holubar, S, Demeester, S, Alshehari, M, Ghabisha, S, Abdulatef, S, Al-Kubati, W, Obadiel, Y, Gots, A, Nakazwe, M, Chipaila, J, Mazingi, D, Shalaby, Mostafa, ElSheikh, Ahmed M., Hamed, Hosam, null, null, Elsheik, Ahmed, Sakr, Ahmad, Fouad, Amgad, Kassem, Amr, Elfeki, Hossam, Madbouly, Khaled, Alzahrani, Khalid H., Marzouk, Khalid, Ali, Mahmoud, Helal, Mohamed Alaa Abdelmoez, Elsorogy, Mohamed, Farid, Mohamed, Di Lorenzo, Nicola, Sileri, Pierpaolo, Wexner, Steven, Khafagy, Wael, Adeyeye, Ademola, El-Hussuna, Alaa, Frontali, Alice, Saklani, Avanish, Lelpo, Benedettao, Molena, Daniela, Pandey, Diwakar, Karbovnichaya, Elena, Pata, Francesco, Van Ramshor, Gabrielle H., Gallo, Gaetano, Spolverato, Gaya, Pellino, Gianluca, Bagaglini, Giulia, Rubio-Perez, Ines, Negoi, Ionut, Frigerio, Isabella, Juloski, Jovan, Ninkovic, Marijana, Franceschilli, Marzia, Azer, Mina, Efetov, Sergey, Ippoliti, Simona, Garoufalia, Zoe, Fazli, Mohammad Rafi, Dogjani, Agron, Cherfa, Harieche Abdennour Abderahim, Omar, Tilioua, Minoldo, Javier, Alvarez Gallesio, José Maria, Quesada, Matias, Bacher, Annica, Kropshofer, Stephan, Ponholzer, Florian, Tesik, Philip, Gehwolf, Philipp, Isci, Sevim, Uranitsch, Stefan, Berchtold, Valeria, Samadov, Elgun, Abualsel, Abdulmenem, Mitul, Ashrarur Rahman, Islam, S. M. Nazmul, Vanlander, Aude, Van Praet, Charles, Van Daele, Elke, Vanommeslaeghe, Hanne, Stijns, Jasper, Abosi-Appeadu, Kessewa, Depuydt, Martijn, Allaeys, Mathias, Yves, Van Nieuwenhove, Colleoni, Ramiro, Slavchev, Mihail, Elbahrawy, Aly, Luc, Jessica G. Y., Milford, Karen, Romic, Ivan, Monti, Alessio, Haydal, Ashraf, Klein, Mads Falk, Ocklind, Miranda E. K., Hadi, Sabah Anwar, Alqasaby, Abdallah, Elganash, Abdelazim, Daibes, Adel Goda Hussein, Elsaied, Adham, Elhattab, Ahmad, Lotfy, Ahmad, Alnashar, Ahmed, Elnour, Ahmed Abd Elbaset Elsayed Abu, Abdelhalim, Ahmed, Abdelhamid, Ahmed, Abdellatif, Ahmed, Abdelmohsen, Ahmed, Abdelrafee, Ahmed, Elhawary, Ahmed Adel, Zidan, Ahmed Azmy, Eleshra, Ahmed, Elkafoury, Ahmed, Ezz, Ahmed, Abdelmomen, Ahmed Ezzat Elghrieb, Elkased, Ahmed Farag, Fawzy, Ahmed, Elkhouly, Ahmed G., Hemidan, Ahmed Gamal Abouelfetouh Ibrahim, Abbas, Ahmed Hosam Eldin Hasan, Ismail, Ahmed Mahmoud Ahmed, Attia, Ahmed Mohamed, Farid, Ahmed Mohammed, Elnakash, Ahmed Mostafa, Negida, Ahmed, Soliman, Ahmed, Taki-Eldin, Ahmed, Albadry, Ali Almahdy Ali, Sanad, Aly, Elbatal, Amira Alsayed Abdelhai, Elgazar, Amr, Saleh, Amr, Fahiem, Andrew, Mohamed, Anwar Yahya A., Nageeb, Ashraf, Elmetwally, Ashraf S., Alkhalegy, Ayman, El-Wakeel, Ayman, Shemes, Ayman, Fadel, Bashir A., Lutfi, Basma Waseem, Ali, Doaa, Abolnasr, Khaled Samir, Gamal, Ehab, Abdallah, Emad, Ahmed, Emad Ali, Salem, Eman Abdalla Mohamed, Hamed, Esmael Ali, Elshikh, Essam, Enad, Farazdaq, Sarhan, Fetoh Alaaeldin Fetoh, Abouelnagah, Galal, Tagg, Gamal Hassan El, Atef, Gehad, Shaker, George Samir Habib, Beshir, Hatem, Zakaria, Hazem M., Barbary, Hesham, Elgendy, Hesham, Sharaf, Hesham, Elnaghi, Hisham, Elghadban, Hosam, Elzayat, Ibrahim, Fakhr, Ibrahim, Sallam, Ibrahim, Abdelmoneim, Ibrahim Tharwat Mohamed, Elnemr, Islam, Zewar, Karem Shahin Mohamed, Elalfy, Khaled, Sabet, Khaled, Mansour, Khaled Yousery Ibrahim, Osman, Khalid Abdalla Abdelgadir, Elgaly, Maher Elesawi Kamel, Shams, Maher, Abozeid, Mahmoud, Mohammed, Mahmoud M., Elkatt, Mahmoud Mohamed, Samaha, Mahmoud Yahia, Mikhael, Marolla Maher Eskander, Khalil, Medhat M. H. A., Alhendawey, Moaaz, Elrefai, Mohamad, Gabr, Mohamed A., Fayed, Mohamed Abdelaziz Mohamed Abdalla M, Abdelmaksoud, Mohamed, Salem, Mohamed Abouelmagd, Mohamed Mohamed, Mohamed Adel, Nabeeh, Mohamed Adel, Elsayed, Mohamed Ahmed Abdelhalim Ahmed, Abdelmonem, Mohamed Ahmed, Ali, Mohamed Anwar Abdel Razik, Eldemery, Mohamed, Elmesery, Mohamed, Fikry, Mohamed, Gharbia, Mohamed, Omar, Mohamed I., Elmoghazy, Mohamed Ibrahim, Ghazala, Mohamed Jomma, Hamed, Mohamed Korayem Fattouh, Metwally, Mohamed, Arnouse, Mohamed Mohamed Hamdy, Amen, Mohamed Mohsen, Amary, Mohamed Mokhtar, Kandel, Mohamed Mosaad, Abuzeid, Mohamed Mostafa, Rabea, Mohamed, Sobh, Mohamed Ramadan, Taman, Mohamed, Fathy, Mohammad, Moustafa, Mohammad Montaser Hassan, Zuhdy, Mohammad, Adel, Mohammed, Alaa, Mohammed, Alawady, Mohammed, Edassy, Mohammed El, Mohammed, Mohammed Mustafa Hassan, Eldesouki, Mohammed Nabil, Salim, Mohammed Said Mahmoud, Sanad, Mohammed, Khalaf, Mohsen George, Henes, Mohsen Michael, Abdelglil, Momen, Mohmmed, Mona Mhmoud, Abdelkhalik, Morsi Mohamed Morsi, Shetiwy, Mosab, Elshazli, Mostafa, Hegazy, Mostafa, Ahmed, Mostafa Mahmoud, Abdelhalim, Mostafa Mohammed, Shahein, Mostafa, Sofan, Mostafa, Hammad, Muhammed Alaa Moukhtar, Ahmad, Mustafa, Milad, Nader, Farouk, Nehal, Eldesouky, Omnia, Mohamed, Omnia Y., Mahadel, Osama Abdel Salam, Gaarour, Osama, Torky, Radwan Abdelsabour, Elhafez, Raheem El-Gohary Abd, Adly, Ramy Magdy, Nageeb, Ramy Mikhael, Hamdi, Salah, Gamal, Sameh, Emile, Sameh Hany, Regal, Samer, Abdelrasheed, Sayed, Elzeftawy, Shady Ahmed, Khashshan, Sohib Mohammed Mohammed, Ashraf, Tamer, Khafagy, Tamer, Nabil, Tamer, Abdelazim, Tarek, Rizk, Tarek Taher, Amr, Wesam, Yousef, Yousef Mohamed, Youssef, Youssef Abdel Aziz, Castaldi, Antonio, Fiore, Antonio, Hasani, Ariola, Mariani, Aurora, Dagorno, Claire, Antonio, D'Alessandro, Izzo, Giuliano, Addari, Giulio, Mangiameli, Giuseppe, Rea, Lo Dico, Pio, Luca, Paci, Marco, Andrea, Police, De Fatico, GSerena, Elvira, Tartaglia, Schuldes, Alejandro Daniel Lira, Rihan, Eslam, Moeslein, Gabriela, Lederhuber, Hans, Botros, Ibram, Jaman, Ismail, Doerner, Johannes, Elseberbihy, John Rezk Hanna, Sherbiny, Kareem El, Ghonim, Mostafa, Mikrish, Amir, Aziz, Mina, Hatm, Mohamed, Archid, Rami, Gendy, Samuel Elkess Morcos, Ahmad, Sufian, Charalabopoulos, Alexandros, Prodromidou, Anastasia, Ioannidis, Argyrios, Mpaili, Eustratia, Boukorou, Garyfallia, Papadopoulos, Georgios, Liakakos, Theodore, Styliani, Vasileiadou, Agrawal, Abhishek, Jain, Amita, Rashid, Arshad, Mehraj, Asif, Brahmachari, Swagata, Lakshmi, Harish Neelamraju, Vishwakarma, Kushagra, Parida, Lalit, Sharma, Meenakshi, Zaieem, Mohammad, Makasarwala, Murtaza, Nittala, Rigved, Kumar, Sanjeev, Vikrantmr, Sharma, Junaid, Sheikh, Khuller, Somyaa, More, Vinal, Ahmed, Abeer Abdul Hameed, Alomieri, Adil, Alhamdany, Arkan Shubber, Del, Muslim Ka, Najm, Ghadah, Lateef, Nawras Falah, Mcnamara, Deborah, Abdelmageed, Mohammed Elkassaby, Majeed, Mudassar, Troci, Albert, Porcu, Alberto, Marano, Alessandra, Di Bartolomeo, Alessandro, Giani, Alessandro, Giardino, Alessandro, Canfora, Alfonso, Balla, Andrea, Barberis, Andrea, Belli, Andrea, Borasi, Andrea, Manetti, Andrea, Mingoli, Andrea, Morini, Andrea, Maurizi, Angela, Marra, Angelo Alessandro, Epifani, Angelo Gabriele, Iossa, Angelo, Parello, Angelo, Guida, Anna, Maffioli, Anna, Scafa, Anthony Kevin, Spinelli, Antonino, Matarangolo, Antonio, Picciariello, Arcangelo, Pirozzi, Brunella, Cirillo, Bruno, Gazia, Carlo, Ratto, Carlo, Foppa, Caterina, Marafante, Chiara, Andrea, Chierici, Tanda, Cinzia, Guerci, Claudio, Don, Cristine, Zigiotto, Daniele, Coniglio, Denise, Sasia, Diego, Visconti, Diego, Altomare, Donato F., Guaitoli, Eleonora, Botteri, Emanuele, Pinotti, Enrico, Martinelli, Fabio, Uggeri, Fabio, Bàmbina, Fabrizio, Falaschi, Federica, Costanzo, Federico, La Torre, Filippo, Milana, Flavio, Abbatini, Francesca, De Lucia, Francesca, Tropeano, Francesca Paola, Colombo, Francesco, Ferrara, Francesco, Litta, Francesco, Carrano, Francesco Maria, Orlando, Francesco, Roscio, Francesco, Selvaggi, Francesco, Giarratano, Gabriella, Pagano, Gianluca, Lisi, Giorgio, Argenio, Giulio, Zancana, Giuseppa, Cavallaro, Giuseppe, Frazzetta, Giuseppe, Mariateresa, Grasso, Sciaudone, Guido, Vella, Ivan, Siragusa, Leandro, Santurro, Letizia, Ferri, Lorenzo, Petagna, Lorenzo, Ferrario, Luca, Pitoni, Ludovica, Pignatelli, Marcello Filograna, Angrisani, Marco, Giugliano, Marco, Inama, Marco, Marino, Marco V., Veltri, Marco, Giuffrida, Maria Carmela, Menna, Maria Paola, Valente, Marina, Rottoli, Matteo, Sacchi, Matteo, Uccelli, Matteo, Rho, Maurizio, Garino, Mauro, Montuori, Mauro, Campanelli, Michela, Zese, Monica, De Falco, Nadia, Cillara, Nicola, Mariani, Nicolò Maria, Tamini, Nicolò, Adorisio, Ottavio, Campennì, Paola, Venturelli, Paolina, Bernante, Paolo, Sapienza, Paolo, Cianci, Pasquale, Marsanic, Patrizia, Lapolla, Pierfrancesco, Tecchio, Piero, Familiari, Pietro, Fransvea, Pietro, Bruzzaniti, Placido, Hassan, Redan, Pirovano, Riccardo, Rimonda, Roberto, Di Saverio, Salomone, Di Carlo, Sara, Perra, Teresa, Campagnaro, Tommaso, Testa, Valentina, Andriola, Valeria, Grappelli, Virgilio Michael Ambrosi, Capizzi, Vita, Chiarella, Vito, Bellato, Vittoria, Yanaga, Katsuhiko, Farouk, Mohamed, Uraiqat, Ahmad, Almasri, Mahmoud, Nabwana, Ambrose, Siboe, Mark M. W., W, Njoroge P., Njoroge, Githu, Ilkul, Jh., Obure, Ralph Ombati, Palkhi, Yusuf, Alkhayat, Ali, Ali, Ali Sayed, Malek, Amgad Nashaat Abdel, Abdelsayed, Emad Fahim, Zahra, Tarek, Ayoub, Larissa, Sleilati, Fadi, Aoun, Rany, Algatanesh, Nassib, Fieturi, Nura Ahmed, Ng, Jen Siang, Díaz, Andrés Vega, Duran, Erik Efrain Sosa, Guerrero, José Eaazim Flores, Jasso, Manuel Meza, Flores, Manuel SSalas, Felix, Marcos José Serrato, Angulo, Victor Manuel Pinto, Mejdane, Abdelhadi, Aitali, Abdelmounaim, Amal, Benzakour, Zentar, Aziz, Bensaad, Ahmed, Yacir, El Alami, Jawad, Fassi Fihri Mohamed, Rachid, Mohamed Ghassane, Maliki-Alaoui, Mohamed, Ouadii, Mouaqit, Mohammed, Ouazni, Thein, Nyan, Koirala, Dinesh Prasad, Hilling, Denise, Pouwels, Sjaak, Okunlola, Abiodun Idowu, Adejumo, Adeyinka, Akinmade, Akinola, Shittu, Asimiyu Adekunle, Oluyomi, Ayodele Samuel, Abiodun, Azeez Lateef, Lawal, Bashir, Odion, Clement, Popoola, Ademola, Jolayemi, Edward, Shomoye, El-Zaki, Wuraola, Funmilola Olanike, Eke, Grace, Abiyere, Henry, Oluwasuyi, Ige, George, Ihediwa, Njokanma, Iloba Gabriel, Aremu, Isiaka, Dare, Julius Kolajo, Abdur-Rahman, Lukman, Ahmad, Misbahu Haruna, Oludara, Mobolaji Adewale, Mohammad, Mohammad Aminu, Adeoluwa, Ojajuni, Situ, Oladele, Agbonrofo, Peter, Kewulere, Raji Taofiq, Aliyu, Yakubu, Adebowale, Yusuf, Galala, Ahmed, Rao, Satish, Waleed, Aasma, Inam, Aatif, Shaikh, Abdul Razaque, Qureshi, Ahmad Uzair, Muhammad, Aneeqah Din, Ahmed, Arooj, Kerawala, Asad Ali, Aslam, Mohammad, Mehr, Asma, Javed, Ayesha, Ahmad, Farooq, Majid, Haroon Javaid, Ahmed, Hassan, Daudi, Irfan, Akhtar, Khalid, Niaz, Khurram, Anwer, Mariyah, Amir, Mohammed, Hanif, Muhammad Amir, Asif, Muhammad, Raza, Muhammad Asif, Khokhar, Muhammad Imran, Jameel, Muhammad Khurram, Nasir, Muhammad, Shafique, Muhammad Salman, Ateeb, Mujammad, Nadeem, Munawar, Shah, Rahmat Ullah, Waqar, Shahzad Hussain, Shah, Shahzad Alam, Waseem, Talat, Ghafoor, Tariq, Fatima, Tauseef, Bashir, Umar, Gonzales, Erick Ivan Huaman, Ruiz, Luis Angel Garcia, Freitas, Carla, De Sousa, Xavier, Al-Bahrani, Ahmed, Portela, Carlos Antonio Sanchez, Elgazar, Elsayed Aly, Robles, Eloy Morasen, Khan, Irfan Jan, Jarboa, Lutfi, Khawar, Mahwish, Echevarria, Miguel Jose Pinto, Bashah, Moataz M., Dawdi, Salahaldeen, Musthafa, Shameel, Ali, Syed Muhammad, Ciubotaru, Cezar, Bonci, Eduard-Alexandru, Muresan, Mihai-Stefan, Bogdan, Stoica, Ioan, Tanase, Zubayraeva, Albina, Derinov, Aleksandr, Zakharenko, Alexander, Novikova, Anastasia, Bashlachev, Andrey, Kaldarov, Ayrat, Stanislav, Berelavichus, Gorin, David, Puzenko, Dmitriy, Kazachenko, Ekaterina, Ashimov, Erkin, Medkova, Iuliia, Ignatov, Ivan, Sergeevich, Kochetkov Viktor, Sidorova, Lyudmila, Kiselev, Michail, Danilov, Michail, Aleksandr, Ogoreltsev, Rodimov, Sergey, Garmanovs, Tatiana, Kitsenko, Yury, Valery, Nekoval, Japhet, Ntezamizero, Sibiany, Abdulrahman, Saadeldin, Abdelhalim, Abuosba, Abdelrahman, Alawadhi, Abdulbari Mohammed, Alharbi, Abdulhamid, Althumali, Abdullah, Alghuliga, Abdullah, Alotaibi, Abdullah, Abduraboh, Abdullah Fayez, Kateb, Abdullah, Sindy, Abdullah, Al Eisa, Abdulmohsen, Alotaibi, Abdulrahman, Almulhim, Abdulrhman, Aljawhari, Adel Ali, Abozeid, Ahmad Mahmoud, Saad, Ahmad, Alqarni, Ahmed, Alwan, Ahmed, Alwusaibie, Ahmed, Bafaraj, Ahmed, Eldeeb, Ahmed, Tarabay, Ahmed, Mohammed, Mahfoudh, Alhedaithy, Alhanouf, Almaghrabi, Alhassan Hesham, Abed, Ali Ibrahim Eldawy, Abdullah, Alqahtani Ali, Semilan, Anmar, Farag, Mohamed, Khudhayr, Essa, Hussain, Marwah, Abbas, Ghanem, Alqudaihi, Heba, Abualnaja, Yousra, Shaheen, Abelnasser, Mubarak, Ashraf Abdelazeem Mohamed, Ali, Bandar Idrees A., Alhazmi, Barrag, Hijazi, Bilal Ahmed, Abdulrahman, Chadi, Oyedepo, Charles Olajide, Alzamel, Heythem, Tairab, Elsanousi Ibrahim Sabir, Alsuwaimel, Munir A., Hejazi, Soha, Alnoqaidan, Emad, Alhussien, Fade Ahmed, Jallad, Fadi Sami, Khadwardi, Faisal, Alghamdi, Faisal Saleh, Haddad, Feras, Sauri, Fozan, Alafghani, Haitham, Alfalah, Haitham, Gad, Hamada, Aboelmagid, Hamdy Haggag Ebrahim, Ibrahim, Hamed, Elzayady, Hany M., Sharafeldin, Hatem Abdelrahman Ahmed, Sembawa, Hatem A., Alabbas, Haytham, Abbas, Hazem, Elgamal, Hesham, Alawfi, Homoud, Al-Sadery, Humood, Abdelmotaleb, Hussien Ali, Al Hassn, Ibrahim, Mudawi, Ishag M., Nekhala, Islam, Elsanhoury, Kareem, Said, Khalid Babieker, Albeshri, Khalid A., Albahooth, Khalid, Mohammed, Khalid Fathelrahman Bakier, Asar, Khalid Mohammad Ibrahim, Osman, Luqman, Alzamanan, Mahdi, Alnabarawi, Mahmoud, Althobaiti, Majid, Elsayed, Mohamed Abdelmoneim, Al Naeb, Mohamed, Hassan, Mohamed Salah Eldin, Abdelhamid, Mohamed Sayed, Alyami, Mohammad, Mirza, Mohammad Amin, Sayouh, Mohammad, Alkhayat, Mohammed Amer, Basendowah, Mohammed, Ghunaim, Mohammed, Alhussaini, Mohammed Khalid, Khoj, Mohammed, Sbaih, Mohammed, Saeed, Muhammad Ahmad, Ali, Muhammad Zulfiqar, Abdelaziz, Nabil Yassin Tammam, Malibary, Nadim, Abdo, Nael, Amer, Nasser Mohammed, Al Turki, Neamat Ahmed Ali, Durayb, Norah, Yassin, Nouf, Akeel, Nouf, Larbi, Noureddine, Alsallum, Ofays, Suliman, Omar AAbu, Elsherbiny, Osama, Abusalem, Osama, Albalawi, Ibrahim Altedlawi, Abutalib, Raid Abdullah, Alarabi, Rayan, Khan, Roaa Ghazi, Alazzam, Saleh, Alghamdi, Saleh, Alsawat, Salem, Salim, Sami, Alshukr, Sarah, Alzahrani, Saud, Golea, Smain, Alowairdhi, Tumadher, Salman, Usama, Abusiam, Wael, Abualkhair, Wael, Saber, Wael, Tashkandi, Wail, Alhazmi, Waleed, Tashkandi, Waleed, Yassine, Wassim Abou, Alshabi, Yaser Ahmad, Ibrahim, Yaser, Shahin, Yasser, Ibrahim, Yassin, Aljathlany, Yousef, Alnahas, Yousef, Alrashidi, Yousef, Wali, Zubair, Ndong, Abdourahmane, Ba, Mamadou, Faye, Papa Mamadou, Arbutina, Dragana, Milic, Ljiljana, Cuk, Vladica, Hussein, Abdinafic Mohamud, Mccaul, Jeannie, Bertels, Laurie, Pohl, Linda, Arnold, Marion, Mbatani, Nomonde, Oosthuizen, Pj, Rayamajhi, Shreya, Vosloo, Susan, Jooma, Uzair, Landaluce-Olavarria, Aitor, Vázquez-Melero, Alba, Marcos, Alberto, Puerto Puerto, Alejandro, De La Hermosa, Alicia Ruiz, Senent-Boza, Ana, Ugarte-Sierra, Bakarne, Montalbán, Beatriz Cros, Martin-Perez, Beatriz, Gomez, Caroina Gonzalez, Colás-Ruiz, Enrique, Santos, Esther Garcia, Senra, Fatima, Mora-Guzmán, Ismael, Dziakova, Jana, Díaz, Jeancarlos J. Trujillo, Silva, Jesús, Laina, Juan Luis Blas, Tallon-Aguilar, Luis, Di Martino, Marcello, Chacón, Mario Franco, Frasson, Matteo, Calvo, Mikel Prieto, Millan, Monica, Tejedoe, Patricia, Pérez-Bertólez, Sonia, Turrado-Rodríguez, Víctor, Elsanosi, Abdelrhman Azhari Mohammed, Abdalbakheet, Duaa, Ahmed, Mohamed, Salim, Omer El Faroug H., Youssef, Mohamed, Barbon, Carlotta, Bouchrika, Amal, Maghrebi, Houcine, Loukil, Issam, Yildiz, Alp, Dursun, Ayberk, Gulcu, Baris, Calik, Bulent, Eral, Burak, Yeşilyurt, Değercan, Yakar, Fatih, Akin, Furkan Atakan, Kilinc, Gizem, Uslu, Gülberk, Tuncer, Korhan, Koc, Mehmet Ali, Leventoğlu, Sezai, Sokmen, Selman, Atici, Semra Demirli, Kaya, Tayfun, Dere, Ümit Akın, Kırmızı, Yasemin, Ssenono, Kavuma Daniel, Lule, Herman, Mbiine, Ronald, Hamza, Ahmed, Ali, Shabeer, Peediyakkal, Saidalavi Padinhare, Varma, Gopala Pillay, Mussa, Haidar Aal, Al-Masari, Hayder Makki, Shehata, Mina, Seiam, Moham, Aziz, Muhammad Akram Abdul, Nimir, Nessrein, Khare, Ritu, Rashid, Shahid, Kazim, Shuiab, Gondal, Zafar, Sherif, Ahmed Elshawadfy, Ghanem, Ahmed, Helmy, Ahmed Hazem I., Ibrahim, Ahmed, Elshaer, Ahmed Mohammed, Marzouk, Ahmed Msm, Tamburrini, Alessandro Paolo, Parente, Alessandro, Light, Alexander, Diamantopoulou, Angela, Singh, Baljit, Gurung, Binay, Frauenfelder, Claire, Leo, Cosimo Alex, Raptis, Dimitri, Thakrar, Dixa, Madhuri, Thumuluru Kavitha, Tsounaki, Efthymia, Garreffa, Emanuele, Soggiu, Fiammetta, Stavrou, George, Ng, Hwei Jene, Tabasi, Hani, Nasef, Hazem, Kostakis, Ioannis D., Jeffery, James, Warusavitarne, Janindra, Lund, Jon, Qurashi, Kamran, Sahnan, Kapil, Tong, Kin Seng, Orecchia, Luca, Kaur, Mandeep, Zaidi, Mariam, Ganau, Mario, Hassan, Mohamed Ali Gad, Curtis, Nathan, Bhatt, Nikita, Machairas, Nikolaos, Zafar, Noman, Toma, Omar, Sarmah, Panchali, Bassuni, Majid, Davies, Justin, Shawer, Sami, Shawer, Sherif, Lewis, Sophia, Subramanian, Sivaraman, Ahmad, Suhaib, Nadeem, Uqba, Njau, Aidan, Tohamy, Aley Eldin, Pakula, Andrea M., Simioni, Andrea, Jarvis, Bennie L., Skandalakis, Georgios P., Hesham, Hosai Todd, Isaiah, Isaac A., Villwock, Jennifer, Martin, Linda W., Kress, Melissa, Sebelik, Merry, Lathan, Sanaz, Towfigh, Shirin, Holubar, Stefan D., Demeester, Steve, Alshehari, Mohammed Mohammed Hasan, Ghabisha, Saif Ali, Abdulatef, Shehab Ahmed Ali, Al-Kubati, Waheeb, Obadiel, Yasser Abdurabo, Gots, Alexander, Nakazwe, Mildred, Chipaila, Jackson, and Mazingi, Dennis
- Abstract
BackgroundSARS-CoV-2 pandemic has had many significant impacts within the surgical realm, and surgeons have been obligated to reconsider almost every aspect of daily clinical practice.MethodsThis is a cross-sectional study reported in compliance with the CHERRIES guidelines and conducted through an online platform from June 14th to July 15th, 2020. The primary outcome was the burden of burnout during the pandemic indicated by the validated Shirom-Melamed Burnout Measure.ResultsNine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout.There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits, and research work, so, 48.2% of respondents felt that the training resources were insufficient. The majority (81.3%) of respondents reported that their hospitals were included in the management of COVID-19, 66.5% felt their roles had been minimized; 41% were asked to assist in non-surgical medical practices, and 37.6% of respondents were included in COVID-19 management.ResultsNine hundred fifty-four surgeons completed the survey. The median length of practice was 10 years; 78.2% included were male with a median age of 37 years old, 39.5% were consultants, 68.9% were general surgeons, and 55.7% were affiliated with an academic institution. Overall, there was a significant increase in the mean burnout score during the pandemic; longer years of practice and older age were significantly associated with less burnout.There were significant reductions in the median number of outpatient visits, operated cases, on-call hours, emergency visits
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- 2024
53. Cultural assets identification using transfer learning.
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Simon Bugert, Huajian Liu, Waldemar Berchtold, and Martin Steinebach
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- 2022
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54. Recognition of objects from looted excavations by smartphone app and deep learning.
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Waldemar Berchtold, Huajian Liu, Simon Bugert, York Yannikos, Jingcun Wang, Julian Heeger, Martin Steinebach, and Marco Frühwein
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- 2022
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55. Smartphone-supported integrity verification of printed documents.
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Waldemar Berchtold, Dani El-Soufi, and Martin Steinebach
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- 2022
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56. Partizipative Sensormattenentwicklung für die ambulante Pflege: Das Projekt DigiKomp-Ambulant
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Fuchs-Frohnhofen, Paul, Esser, Nora, Tomak, Kristina, Palm, Gerd, Franzen, Thomas, Kuhn, Thomas, Keckstein, Willi, Berchtold, Andreas, Born, Stefan, Diener, Kathleen, Redlich, Alexander, Nitsch, Verena, editor, Brandl, Christopher, editor, Häußling, Roger, editor, Roth, Philip, editor, Gries, Thomas, editor, and Schmenk, Bernhard, editor
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- 2022
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57. Epidemiology of Tubulointerstitial Nephritis
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de Seigneux, Sophie, Berchtold, Lena, Atta, Mohamed G., editor, and Perazella, Mark A., editor
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- 2022
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58. Privacy preserving leak detection in peer-to-peer communication.
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Julian Heeger, Simon Bugert, Waldemar Berchtold, Alexander Gruler, and Martin Steinebach
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- 2023
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59. Prediction of Stroke Outcome in Mice Based on Noninvasive MRI and Behavioral Testing
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Knab, Felix, Koch, Stefan Paul, Major, Sebastian, Farr, Tracy D., Mueller, Susanne, Euskirchen, Philipp, Eggers, Moritz, Kuffner, Melanie T.C., Walter, Josefine, Berchtold, Daniel, Knauss, Samuel, Dreier, Jens P., Meisel, Andreas, Endres, Matthias, Dirnagl, Ulrich, Wenger, Nikolaus, Hoffmann, Christian J., Boehm-Sturm, Philipp, and Harms, Christoph
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- 2023
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60. Effectiveness of rib fixation compared to pain medication alone on pain control in patients with uncomplicated rib fractures: study protocol of a pragmatic multicenter randomized controlled trial—the PAROS study (Pain After Rib OSteosynthesis)
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Jean Yaniss Perentes, Michel Christodoulou, Etienne Abdelnour-Berchtold, Wolfram Karenovics, Angèle Gayet-Ageron, Michel Gonzalez, Thorsten Krueger, Frédéric Triponez, Philippe Terrier, and Benoît Bédat
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Rib fractures ,Rib osteosynthesis ,Pain ,Chronic pain ,Medicine (General) ,R5-920 - Abstract
Abstract Background Persistent pain and disability following rib fractures result in a large psycho-socio-economic impact for health-care system. Benefits of rib osteosynthesis are well documented in patients with flail chest that necessitates invasive ventilation. In patients with uncomplicated and simple rib fractures, indication for rib osteosynthesis is not clear. The aim of this trial is to compare pain at 2 months after rib osteosynthesis versus medical therapy. Methods This trial is a pragmatic multicenter, randomized, superiority, controlled, two-arm, not-blinded, trial that compares pain evolution between rib fixation and standard pain medication versus standard pain medication alone in patients with uncomplicated rib fractures. The study takes place in three hospitals of Thoracic Surgery of Western Switzerland. Primary outcome is pain measured by the brief pain inventory (BPI) questionnaire at 2 months post-surgery. The study includes follow-up assessments at 1, 2, 3, 6, and 12 months after discharge. To be able to detect at least 2 point-difference on the BPI between both groups (standard deviation 2) with 90% power and two-sided 5% type I error, 46 patients per group are required. Adjusting for 10% drop-outs leads to 51 patients per group. Discussion Uncomplicated rib fractures have a significant medico-economic impact. Surgical treatment with rib fixation could result in better clinical recovery of patients with uncomplicated rib fractures. These improved outcomes could include less acute and chronic pain, improved pulmonary function and quality of life, and shorter return to work. Finally, surgical treatment could then result in less financial costs. Trial registration ClinicalTrials.gov NCT04745520 . Registered on 8 February 2021.
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- 2022
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61. The FIRE-IN project: Tsunami-risk related practitioner challenges and 3rd cycle overall results [version 2; peer review: 1 approved, 2 approved with reservations]
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Ioannis Tsaloukidis, Georgios Sakkas, Iris Schneider, Danai Kazantzidou-Firtinidou, Nico Hybbeneth, Vassiliki Kouskouna, Juliane Schlierkamp, Claudia Berchtold, Sebastien Lahaye, Marta Miralles, and Michel Bour
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FIRE-IN ,tsunami ,Mediterranean ,Europe ,future challenges ,capacity building ,eng ,Science ,Social Sciences - Abstract
This article summarizes the methodology for the identification of practitioners’ challenges of the H2020 funded project FIRE-IN (Fire and Rescue Innovation Network) activities with a strong focus on the natural hazard mitigation working group and tsunamis in the Mediterranean region as a case study for the 3rd cycle. The scenario of a tsunami occurrence in the Mediterranean is the basis for the FIRE-IN 3rd cycle workshop, as an indicative example of a high impact – low probability event, which aims to identify the Future Common Capability Challenges of practitioners in Europe. The current status of the tsunami hazard in Europe, national and international tsunami risk mitigation measures and procedures and operational experience from recent events are also discussed. Focus is provided on the natural hazard mitigation and tsunami related practitioners’ challenges, while results from the FIRE-IN request for ideas process and the interaction between practitioners, researchers and industry is also discussed. The aim is to present the current and future capability challenges of practitioners, one of the main outcomes of FIRE-IN project, and to provide further guidelines to stakeholders of disaster management towards a safer Europe, mainly, through preparedness for stronger and resilient societies.
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- 2023
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62. Prevalence, management and efficacy of treatment in portal vein obstruction after paediatric liver transplantation: protocol of the retrospective international multicentre PORTAL registry
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Barbara E Wildhaber, Martin de Santibañes, Victoria Ardiles, Ruben H J de Kleine, Raj Prasad, Bhargava Mullapudi, Jai Patel, Reinoud P H Bokkers, Ekkehard Sturm, Simon McGuirk, Girish Gupte, John McCall, Richard J Hendrickson, Winita Hardikar, Helen Evans, Khalid Sharif, Marumbo Mtegha, Amar Mukund, David Duncan, Emmanuel Gonzales, Marco Spada, Mureo Kasahara, Denise Aldrian, Bader A Alfares, Hubert P J van der Doef, Thomas Casswall, Greg Nowak, Martin Delle, Valeria Berchtold, Georg F Vogel, Piotr Kaliciński, Malgorzata Markiewicz-Kijewska, Adam Kolesnik, Jesús Q Bernabeu, María Mercadal Hally, Mauricio Larrarte K, Paolo Marra, Michela Bravi, Domenico Pinelli, Seisuke Sakamoto, Hajime Uchida, Vidyadhar Mali, Marion Aw, Stéphanie Franchi-Abella, Florent Guérin, Guillermo Cervio, Julia Minetto, Sergio Sierre, Jimmy Walker Uno, Steffen Hartleif, Cristina T Ferreira, Luiza S Nader, Marco Farina, Catalina Jaramillo, Manuel I Rodriguez-Davalos, Peter Feola, Amit A Shah, Phoebe M Wood, Michael R Acord, Ryan T Fischer, Rajeev Khanna, Viniyendra Pamecha, Gilda Porta, Tommaso Alterio, Giuseppe Maggiore, Marisa Beretta, and Rudi Dierckx
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Medicine - Abstract
Introduction Portal vein obstruction (PVO) consists of anastomotic stenosis and thrombosis, which occurs due to a progression of the former. The aim of this large-scale international study is to assess the prevalence, current management practices and efficacy of treatment in patients with PVO.Methods and analysis The Portal vein Obstruction Revascularisation Therapy After Liver transplantation registry will facilitate an international, retrospective, multicentre, observational study, with 25 centres around the world already actively involved. Paediatric patients (aged
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- 2023
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63. Nurses’ and physicians’ reported difficulties and enablers to recognising and reporting child abuse in Swiss paediatric emergency and paediatric surgery departments – an observational study
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Marlene Brigitte Berchtold, Christian Wüthrich, Daniel Garcia, Steffen Berger, and Ruth Mari Löllgen
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Medicine - Abstract
BACKGROUND: Under-detection and under-reporting of child abuse remains a considerable challenge in paediatric care, with a high number of cases missed each year in Switzerland and abroad. Published data regarding the obstacles and facilitators of detecting and reporting child maltreatment among paediatric nursing and medical staff in the paediatric emergency department (PED) are scarce. Despite the existence of international guidelines, the measures taken to counteract the incomplete detection of harm done to children in paediatric care are insufficient. AIM: We sought to examine up-to-date obstacles and enablers for detecting and reporting child abuse among nursing and medical staff in PED and paediatric surgery departments in Switzerland. METHODS: We surveyed 421 nurses and physicians working in PEDs and on paediatric surgical wards in six large Swiss paediatric hospitals using an online questionnaire between February 1, 2017, and August 31, 2017. RESULTS: The survey was returned by 261/421 (62.0%) respondents (complete n = 200, 76.6%; incomplete n = 61, 23.3%) with a preponderance of nurses (n = 150/261; 57.5%), 106/261 (40.6%) physicians, and 1/261 (0.4%) psychologists (n = 4/261; 1.5% missing profession). The stated obstacles to reporting child abuse were uncertainty about the diagnosis (n = 58/80; 72.5%), feeling unaccountable for notification (n = 28/80; 35%), uncertainty of whether reporting has any consequences (n = 5/80; 6.25%), lack of time (n = 4/80; 5%), forgetting to report (n = 2/80; 2.5%), and parental protection (n = 2/80; 2.5%) (unspecific answer, n = 4/80; 5%, multiple answers were possible, therefore items don not sum up to 100%). Even though most (n = 249/261 95.4%) respondents had previously been confronted with child abuse at/outside work, only 185/245 (75.5%) reported cases; significantly fewer nursing (n = 100/143, 69.9%) than medical staff (n = 83/99, 83.8%) (p = 0.013). Furthermore, significantly more nursing (n = 27/33; 81.8%) than medical staff (n = 6/33; 18.2%) (p = 0.005) reported a discrepancy between the number of suspected and reported cases (total 33/245 (13.5%). An overwhelming amount of participants were strongly interested in mandatory child abuse training (n= 226/242, 93.4%) and in the availability of standardised patient questionnaires and documentation forms (n = 185/243, 76.1%). CONCLUSION: In line with previous studies, insufficient knowledge about and lack of confidence in detecting the signs and symptoms of child abuse were the principal obstacles to reporting maltreatment. To finally address this unacceptable gap in child abuse detection, we recommend the implementation of mandatory child protection education in all countries where no such education has been implemented in addition to the introduction of cognitive aid tools and validated screening tools to increase child abuse detection rates and ultimately prevent further harm to children.
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- 2023
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64. S-Gene Target Failure as an Effective Tool for Tracking the Emergence of Dominant SARS-CoV-2 Variants in Switzerland and Liechtenstein, Including Alpha, Delta, and Omicron BA.1, BA.2, and BA.4/BA.5
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Dominique Hilti, Faina Wehrli, Sabine Berchtold, Susanna Bigler, Thomas Bodmer, Helena M. B. Seth-Smith, Tim Roloff, Philipp Kohler, Christian R. Kahlert, Laurent Kaiser, Adrian Egli, Lorenz Risch, Martin Risch, and Nadia Wohlwend
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S-gene target failure ,whole-genome sequencing ,SARS-CoV-2 ,surveillance ,Biology (General) ,QH301-705.5 - Abstract
During the SARS-CoV-2 pandemic, the Dr. Risch medical group employed the multiplex TaqPathTM COVID-19 CE-IVD RT-PCR Kit for large-scale routine diagnostic testing in Switzerland and the principality of Liechtenstein. The TaqPath Kit is a widely used multiplex assay targeting three genes (i.e., ORF1AB, N, S). With emergence of the B.1.1.7 (Alpha) variant, a diagnostic flaw became apparent as the amplification of the S-gene target was absent in these samples due to a deletion (ΔH69/V70) in the Alpha variant genome. This S-gene target failure (SGTF) was the earliest indication of a new variant emerging and was also observed in subsequent variants such as Omicron BA.1 and BA4/BA.5. The Delta variant and Omicron BA.2 did not present with SGTF. From September 2020 to November 2022, we investigated the applicability of the SGTF as a surrogate marker for emerging variants such as B.1.1.7, B.1.617.2 (Delta), and Omicron BA.1, BA.2, and BA.4/BA.5 in samples with cycle threshold (Ct) values < 30. Next to true SGTF-positive and SGTF-negative samples, there were also samples presenting with delayed-type S-gene amplification (higher Ct value for S-gene than ORF1ab gene). Among these, a difference of 3.8 Ct values between the S- and ORF1ab genes was found to best distinguish between “true” SGTF and the cycle threshold variability of the assay. Samples above the cutoff were subsequently termed partial SGTF (pSGTF). Variant confirmation was performed by whole-genome sequencing (Oxford Nanopore Technology, Oxford, UK) or mutation-specific PCR (TIB MOLBIOL). In total, 17,724 (7.4%) samples among 240,896 positives were variant-confirmed, resulting in an overall sensitivity and specificity of 93.2% [92.7%, 93.7%] and 99.3% [99.2%, 99.5%], respectively. Sensitivity was increased to 98.2% [97.9% to 98.4%] and specificity lowered to 98.9% [98.6% to 99.1%] when samples with pSGTF were included. Furthermore, weekly logistic growth rates (α) and sigmoid’s midpoint (t0) were calculated based on SGTF data and did not significantly differ from calculations based on comprehensive data from GISAID. The SGTF therefore allowed for a valid real-time estimate for the introduction of all dominant variants in Switzerland and Liechtenstein.
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- 2024
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65. Systematic review and meta-analysis of endoscopic ultrasound drainage for the management of fluid collections after pancreas surgery
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Ramouz, Ali, Shafiei, Saeed, Ali-Hasan-Al-Saegh, Sadeq, Khajeh, Elias, Rio-Tinto, Ricardo, Fakour, Sanam, Brandl, Andreas, Goncalves, Gil, Berchtold, Christoph, Büchler, Markus W., and Mehrabi, Arianeb
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- 2022
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66. Implant-free iliac crest bone graft procedure shows anatomic remodelling without redislocation in recurrent anterior shoulder instability after short-term follow-up
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Boesmueller, Sandra, Berchtold, Marta, Lorenz, Greta, Komjati, Micha, Kinsky, Rudolf Maximilian, Fialka, Christian, and Mittermayr, Rainer
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- 2022
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67. Children as Co-researchers: A Transdisciplinary and Participatory Process
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Moody, Zoé, Darbellay, Frédéric, Camponovo, Sara, Berchtold-Sedooka, Ayuko, and Jaffé, Philip D.
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- 2021
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68. Transesophageal Echocardiography-Guided Extracorporeal Membrane Oxygenation Cannulation in COVID-19 Patients
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Morales Castro, Diana, Abdelnour-Berchtold, Etienne, Urner, Martin, Dragoi, Laura, Cypel, Marcelo, Fan, Eddy, and Douflé, Ghislaine
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- 2022
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69. Validation of the ISGLS classification of bile leakage after pancreatic surgery: A rare but severe complication
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Mehrabi, Arianeb, Abbasi Dezfouli, Sepehr, Schlösser, Fabian, Ramouz, Ali, Khajeh, Elias, Ali-Hasan-Al-Saegh, Sadeq, Loos, Martin, Strobel, Oliver, Müller-Stich, Beat, Berchtold, Christoph, Mieth, Markus, Klauss, Miriam, Chang, De-Hua, Wielpütz, Mark O., Büchler, Markus W., and Hackert, Thilo
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- 2022
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70. Hippocampal gene expression patterns linked to late-life physical activity oppose age and AD-related transcriptional decline
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Berchtold, Nicole C, Prieto, G Aleph, Phelan, Michael, Gillen, Daniel L, Baldi, Pierre, Bennett, David A, Buchman, Aron S, and Cotman, Carl W
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Biomedical and Clinical Sciences ,Clinical Sciences ,Genetics ,Dementia ,Prevention ,Brain Disorders ,Physical Activity ,Neurosciences ,Alzheimer's Disease ,Acquired Cognitive Impairment ,Aging ,Neurodegenerative ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Behavioral and Social Science ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning ,Neurological ,Adult ,Aged ,Aged ,80 and over ,Alzheimer Disease ,Axons ,Cognition ,Energy Metabolism ,Exercise ,Gene Expression ,Hippocampus ,Humans ,Microarray Analysis ,Middle Aged ,Mitochondria ,Neuronal Plasticity ,Synaptic Vesicles ,Young Adult ,Microarray ,Plasticity ,Synaptic vesicle trafficking ,White matter ,Myelin ,Axon ,Neurology & Neurosurgery ,Biological psychology - Abstract
Exercise has emerged as a powerful variable that can improve cognitive function and delay age-associated cognitive decline and Alzheimer's disease (AD); however, the underlying mechanisms are poorly understood. To determine if protective mechanisms may occur at the transcriptional level, we used microarrays to investigate the relationship between physical activity levels and gene expression patterns in the cognitively intact aged human hippocampus. In parallel, hippocampal gene expression patterns associated with aging and AD were assessed using publicly available microarray data profiling hippocampus from young (20-59 years), cognitively intact aging (73-95 years) and age-matched AD cases. To identify "anti-aging/AD" transcription patterns associated with physical activity, probesets significantly associated with both physical activity and aging/AD were identified and their directions of expression change in each condition were compared. Remarkably, of the 2210 probesets significant in both data sets, nearly 95% showed opposite transcription patterns with physical activity compared with aging/AD. The majority (>70%) of these anti-aging/AD genes showed increased expression with physical activity and decreased expression in aging/AD. Enrichment analysis of the anti-aging/AD genes showing increased expression in association with physical activity revealed strong overrepresentation of mitochondrial energy production and synaptic function, along with axonal function and myelin integrity. Synaptic genes were notably enriched for synaptic vesicle priming, release and recycling, glutamate and GABA signaling, and spine plasticity. Anti-aging/AD genes showing decreased expression in association with physical activity were enriched for transcription-related function (notably negative regulation of transcription). These data reveal that physical activity is associated with a more youthful profile in the hippocampus across multiple biological processes, providing a potential molecular foundation for how physical activity can delay age- and AD-related decline of hippocampal function.
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- 2019
71. Completion Pancreatectomy After Pancreatoduodenectomy: Who Needs It?
- Author
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Loos, Martin, König, Anna-Katharina, von Winkler, Nikolai, Mehrabi, Arianeb, Berchtold, Christoph, Müller-Stich, Beat P., Schneider, Martin, Hoffmann, Katrin, Kulu, Yakup, Feisst, Manuel, Hinz, Ulf, Lang, Matthias, Goeppert, Benjamin, Albrecht, Thomas, Strobel, Oliver, Büchler, Markus W., and Hackert, Thilo
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- 2023
- Full Text
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72. Portal Vein Resection in Pancreatic Cancer Surgery: Risk of Thrombosis and Radicality Determine Survival
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Hackert, Thilo, Klaiber, Ulla, Hinz, Ulf, Strunk, Susanne, Loos, Martin, Strobel, Oliver, Berchtold, Christoph, Kulu, Yakup, Mehrabi, Arianeb, Müller-Stich, Beat P., Schneider, Martin, and Büchler, Markus W.
- Published
- 2023
- Full Text
- View/download PDF
73. Regulator of G-protein signaling 1 critically supports CD8+ TRM cell-mediated intestinal immunity
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Diego von Werdt, Bilgi Gungor, Juliana Barreto de Albuquerque, Thomas Gruber, Daniel Zysset, Cheong K. C. Kwong Chung, Antonia Corrêa-Ferreira, Regina Berchtold, Nicolas Page, Mirjam Schenk, John H. Kehrl, Doron Merkler, Beat A. Imhof, Jens V. Stein, Jun Abe, Gleb Turchinovich, Daniela Finke, Adrian C. Hayday, Nadia Corazza, and Christoph Mueller
- Subjects
regulator of G-protein signaling-1 ,T-cell differentiation ,TRM cells ,intestinal listeria monocytogenes infection ,immunosurveillance ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Members of the Regulator of G-protein signaling (Rgs) family regulate the extent and timing of G protein signaling by increasing the GTPase activity of Gα protein subunits. The Rgs family member Rgs1 is one of the most up-regulated genes in tissue-resident memory (TRM) T cells when compared to their circulating T cell counterparts. Functionally, Rgs1 preferentially deactivates Gαq, and Gαi protein subunits and can therefore also attenuate chemokine receptor-mediated immune cell trafficking. The impact of Rgs1 expression on tissue-resident T cell generation, their maintenance, and the immunosurveillance of barrier tissues, however, is only incompletely understood. Here we report that Rgs1 expression is readily induced in naïve OT-I T cells in vivo following intestinal infection with Listeria monocytogenes-OVA. In bone marrow chimeras, Rgs1-/- and Rgs1+/+ T cells were generally present in comparable frequencies in distinct T cell subsets of the intestinal mucosa, mesenteric lymph nodes, and spleen. After intestinal infection with Listeria monocytogenes-OVA, however, OT-I Rgs1+/+ T cells outnumbered the co-transferred OT-I Rgs1-/- T cells in the small intestinal mucosa already early after infection. The underrepresentation of the OT-I Rgs1-/- T cells persisted to become even more pronounced during the memory phase (d30 post-infection). Remarkably, upon intestinal reinfection, mice with intestinal OT-I Rgs1+/+ TRM cells were able to prevent the systemic dissemination of the pathogen more efficiently than those with OT-I Rgs1-/- TRM cells. While the underlying mechanisms are not fully elucidated yet, these data thus identify Rgs1 as a critical regulator for the generation and maintenance of tissue-resident CD8+ T cells as a prerequisite for efficient local immunosurveillance in barrier tissues in case of reinfections with potential pathogens.
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- 2023
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- View/download PDF
74. IgG-based B7-H3xCD3 bispecific antibody for treatment of pancreatic, hepatic and gastric cancer
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Martina S. Lutz, Latifa Zekri, Laura Weßling, Susanne Berchtold, Jonas S. Heitmann, Ulrich M. Lauer, Gundram Jung, and Helmut R. Salih
- Subjects
immunotherapy ,pancreatic cancer ,hepatic cancer ,gastric cancer ,B7-H3 (CD276) ,CD3 ,Immunologic diseases. Allergy ,RC581-607 - Abstract
T cell-based immunotherapy has significantly improved treatment options for many malignancies. However, despite these and other therapeutic improvements over the last decades, gastrointestinal cancers, in particular pancreatic, hepatic and gastric cancer, are still characterized by high relapse rates and dismal prognosis, with an accordingly high unmet medical need for novel treatment strategies. We here report on the preclinical characterization of a novel bispecific antibody in an IgG-based format termed CC-3 with B7-H3xCD3 specificity. In many cancer entities including pancreatic, hepatic and gastric cancers, B7-H3 (CD276) is overexpressed on tumor cells and also on the tumor vasculature, the latter allowing for improved access of immune effector cells into the tumor site upon therapeutic targeting. We demonstrate that CC-3 induces profound T cell reactivity against various pancreatic, hepatic and gastric cancer cell lines as revealed by analysis of activation, degranulation and secretion of IL2, IFNγ as well as perforin, resulting in potent target cell lysis. Moreover, CC-3 induced efficient T cell proliferation and formation of T cell memory subsets. Together, our results emphasize the potential of CC-3, which is presently being GMP-produced to enable clinical evaluation for treatment of pancreatic, hepatic and gastric cancer.
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- 2023
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75. The endogenous thrombin potential in patients with left ventricular assist device or heart transplant
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Axel Schlagenhauf, Harald Haidl, Georg Trummer, Michael Berchtold-Herz, Jan-Steffen Pooth, Tanja Strini, Ulrich Geisen, Friedhelm Beyersdorf, and Barbara Zieger
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left ventricular assist device ,Heartmate ,coagulation ,thrombin generation ,bleeding ,Medicine (General) ,R5-920 - Abstract
BackgroundThe Heartmate 3 (HM 3) is a left ventricular assist device featuring less shear stress, milder acquired von Willebrand syndrome, and fewer bleeding incidences than its predecessor the Heartmate II (HM II). The novel surface coating of the HM 3 suggests less contact activation of plasmatic coagulation. We hypothesized that patients with HM 3 exhibit fewer aberrations in their thrombin potential than patients with HM II. We compared these results with the thrombin potential of patients with heart transplantation (HTX).MethodsThrombin generation in plasma samples of patients with HM II (n = 16), HM 3 (n = 20), and HTX (n = 13) was analyzed 3 days after implantation/transplantation and after long-term support (3–24 months) with HM II (n = 16) or HM 3 (n = 12) using calibrated automated thrombography. Heparin in postoperative samples was antagonized with polybrene.ResultsThree days postoperatively HM II patients exhibited a lower endogenous thrombin potential (ETP) than HM 3 and HTX patients (HM II: 947 ± 291 nM*min; HM 3: 1231 ± 176 nM*min; HTX: 1376 ± 162 nM*min, p
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- 2023
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76. Non-specific adhesive forces between filaments and membraneless organelles
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Böddeker, Thomas J., Rosowski, Kathryn A., Berchtold, Doris, Emmanouilidis, Leonidas, Han, Yaning, Allain, Frédéric H. T., Style, Robert W., Pelkmans, Lucas, and Dufresne, Eric R.
- Published
- 2022
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77. Consistency of data collected through online life history calendars
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Berchtold, André, Wicht, Bertil, Surís, Joan-Carles, and Morselli, Davide
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- 2022
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78. Associations between community participation and types of places visited among persons living with and without dementia: risks perception and socio-demographic aspects
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Margot-Cattin, Isabel, Berchtold, André, Gaber, Sophie, Kuhne, Nicolas, Nygård, Louise, and Malinowsky, Camilla
- Published
- 2022
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79. Effectiveness of rib fixation compared to pain medication alone on pain control in patients with uncomplicated rib fractures: study protocol of a pragmatic multicenter randomized controlled trial—the PAROS study (Pain After Rib OSteosynthesis)
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Perentes, Jean Yaniss, Christodoulou, Michel, Abdelnour-Berchtold, Etienne, Karenovics, Wolfram, Gayet-Ageron, Angèle, Gonzalez, Michel, Krueger, Thorsten, Triponez, Frédéric, Terrier, Philippe, and Bédat, Benoît
- Published
- 2022
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80. Transmission of SARS-CoV-2 from humans to animals and potential host adaptation
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Tan, Cedric C. S., Lam, Su Datt, Richard, Damien, Owen, Christopher J., Berchtold, Dorothea, Orengo, Christine, Nair, Meera Surendran, Kuchipudi, Suresh V., Kapur, Vivek, van Dorp, Lucy, and Balloux, François
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- 2022
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81. Transmission of SARS-CoV-2 from humans to animals and potential host adaptation
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Cedric C. S. Tan, Su Datt Lam, Damien Richard, Christopher J. Owen, Dorothea Berchtold, Christine Orengo, Meera Surendran Nair, Suresh V. Kuchipudi, Vivek Kapur, Lucy van Dorp, and François Balloux
- Subjects
Science - Abstract
Here, Tan et al. find that the rapid spread of SARS-CoV-2 in mink and deer required minimal adaptation, has only caused moderate changes to the evolutionary trajectory of the virus, and has not led to viral mutations that greatly improve human transmission thus far.
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- 2022
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82. Associations between community participation and types of places visited among persons living with and without dementia: risks perception and socio-demographic aspects
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Isabel Margot-Cattin, André Berchtold, Sophie Gaber, Nicolas Kuhne, Louise Nygård, and Camilla Malinowsky
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Community participation ,Dementia ,Risks perception ,Places visited ,Geriatrics ,RC952-954.6 - Abstract
Abstract Introduction Increasingly, literature has focused on community participation in places visited by persons living with and without dementia. Earlier research indicates that multiple factors, including socio-demographic aspects and risk perception may influence community participation. Aim and methods This cross-sectional, explorative study aims to inquire into how places visited, socio-demographic aspects and risks perception are associated with self-rated community participation for persons living with and without dementia (n = 70) in Switzerland. Data was collected through face-to-face interviews with questionnaires (ACT-OUT, MoCA, sociodemographic). First, we investigated whether the number of places visited was correlated with self-rated participation; then we added socio-demographic and risks perception factors with a bivariate analysis; and searched for a model using multinomial logistic regressions. Results For the group of participants living with dementia, risks of falling (p = .014) and of getting lost (p = .037) were significantly associated with self-rated participation. For the group of participants living without dementia, visiting places outside the home was significantly associated with self-rated participation, especially visiting places in domain D/places for recreational and physical activities (p = .005). Discussion and conclusions The results of exploring multiple factors and searching for a model highlights the complexity of community participation as a construct. Risks and visiting places for recreational and physical activities seem to play a role in self-rated participation. Mobile interviews might be better suited to gain in-depth understanding on community participation for persons living with dementia.
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- 2022
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83. Diffusion-magnetic resonance imaging predicts decline of kidney function in chronic kidney disease and in patients with a kidney allograft
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Berchtold, Lena, Crowe, Lindsey A., Combescure, Christophe, Kassaï, Miklos, Aslam, Ibtisam, Legouis, David, Moll, Solange, Martin, Pierre-Yves, de Seigneux, Sophie, and Vallée, Jean-Paul
- Published
- 2022
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84. The TRIANGLE operation for pancreatic head and body cancers: early postoperative outcomes
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Klotz, Rosa, Hackert, Thilo, Heger, Patrick, Probst, Pascal, Hinz, Ulf, Loos, Martin, Berchtold, Christoph, Mehrabi, Arianeb, Schneider, Martin, Müller-Stich, Beat P., Strobel, Oliver, Diener, Markus K., Mihaljevic, André L., and Büchler, Markus W.
- Published
- 2022
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85. Clinical evolution of patients with lower extremity peripheral artery disease during the COVID-19 pandemic (the COVID-PAD study).
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Buso, Giacomo, Lanzi, Stefano, Berchtold, André, Deglise, Sébastien, Alatri, Adriano, Calanca, Luca, and Mazzolai, Lucia
- Published
- 2024
- Full Text
- View/download PDF
86. Preoperative Inflammatory Scores Do Not Accurately Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma After Resection: A Systematic Review and Meta‐Analysis.
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de Castro e Borges, Filipe, Khajeh, Elias, Nikbakhsh, Rajan, Ribeiro, Catarina, Maeurer, Markus, Carvalho, Carlos, Gonçalves, Gil, Berchtold, Christoph, Büchler, Markus W., and Mehrabi, Arianeb
- Subjects
PANCREATIC duct ,SCIENCE databases ,SURGICAL indications ,WEB databases ,CANCER patients - Abstract
Background: Disease recurrence after surgical resection for pancreatic ductal adenocarcinoma can affect more than 50% of patients in the first 12 months after resection. The goal of this current systematic review and meta‐analysis is to assess the ability of preoperative inflammatory scores to predict early recurrence after resection and to identify the best candidates for surgical resection. Methods: Medline and Web of Science databases were searched for studies reporting inflammatory scores and oncological outcomes in patients with PDAC after curative‐intent resection. The systematic review revealed that the most common scores were modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI), platelet‐to‐lymphocyte ratio (PLR), neutrophil‐to‐lymphocyte ratio (NLR), and Systemic Immune‐Inflammation Index (SII). After, a meta‐analysis was performed to determine the prognostic value of these scores in early recurrence (12 months) after resection. A subgroup analysis was also carried out in patients who had upfront surgery and in those who underwent neoadjuvant chemotherapy. The ROBINS‐I tool was used to assess the risk of bias. Results: The literature search retrieved 1864 articles, 16 of which were eligible for analysis. The included studies comprised 4460 patients. Nine studies reported outcomes for mGPS, four studies for PNI, seven studies for PLR, eight studies for NLR, and two studies for SII. In the meta‐analysis, mGPS, NLR, and PLR showed significantly higher rates of early recurrence in the high‐score groups compared to the low‐score groups. Analyzing the sensitivity and specificity of these scores showed no significant difference in their diagnostic accuracy (mGPS area under the curve [AUC] = 0.534; NLR AUC = 0.628, and PLR AUC = 0.607). High and low PNI and SII scores demonstrated similar rates of early recurrence. Conclusion: mGPS, PNI, PLR, NLR, and SII scores did not show a suitable diagnostic accuracy to predict PDAC recurrence in the first 12 months after resection. Therefore, these inflammatory scores should not be used to select the best candidates or to preclude a possible surgical indication. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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87. Single and few cell analysis for correlative light microscopy, metabolomics, and targeted proteomics.
- Author
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Rima, Luca, Berchtold, Christian, Arnold, Stefan, Fränkl, Andri, Sütterlin, Rosmarie, Dernick, Gregor, Schlotterbeck, Götz, and Braun, Thomas
- Subjects
- *
CELL anatomy , *CELL morphology , *PROTEIN structure , *MICROSCOPY , *CELL populations - Abstract
The interactions of proteins, membranes, nucleic acid, and metabolites shape a cell's phenotype. These interactions are stochastic, and each cell develops differently, making it difficult to synchronize cell populations. Consequently, studying biological processes at the single- or few-cell level is often necessary to avoid signal dilution below the detection limit or averaging over many cells. We have developed a method to study metabolites and proteins from a small number of or even a single adherent eukaryotic cell. Initially, cells are lysed by short electroporation and aspirated with a microcapillary under a fluorescent microscope. The lysate is placed on a carrier slide for further analysis using liquid-chromatography mass spectrometry (LC-MS) and/or reverse-phase protein (RPPA) approach. This method allows for a correlative measurement of (i) cellular structures and metabolites and (ii) cellular structures and proteins on the single-cell level. The correlative measurement of cellular structure by light-microscopy, metabolites by LCMS, and targeted protein detection by RPPA was possible on the few-cell level. We discuss the method, potential applications, limitations, and future improvements. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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88. Analysis of High-Dose Ascorbate-Induced Cytotoxicity in Human Glioblastoma Cells and the Role of Dehydroascorbic Acid and Iron.
- Author
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Piotrowsky, Alban, Burkard, Markus, Hammerschmidt, Katharina, Ruple, Hannah K., Nonnenmacher, Pia, Schumacher, Monika, Leischner, Christian, Berchtold, Susanne, Marongiu, Luigi, Kufer, Thomas A., Lauer, Ulrich M., Renner, Olga, and Venturelli, Sascha
- Subjects
REACTIVE oxygen species ,BRAIN tumors ,CYTOTOXINS ,CELL death ,VITAMIN C - Abstract
Several studies have demonstrated, both in vitro and in animal models, the anti-tumor efficacy of high-dose ascorbate treatment against a variety of tumor entities, including glioblastoma, the most common and aggressive primary malignant brain tumor. The aim of this study was to investigate the effects of high-dose ascorbate as well as dehydroascorbic acid on human glioblastoma cell lines and to evaluate different treatment conditions for the combined administration of ascorbate with magnesium (Mg
2+ ) and iron (Fe3+ ). Intracellular levels of reactive oxygen species and the induction of cell death following ascorbate treatment were also investigated. We demonstrated high cytotoxicity and antiproliferative efficacy of high-dose ascorbate in human glioblastoma cells, whereas much weaker effects were observed for dehydroascorbic acid. Ascorbate-induced cell death was independent of apoptosis. Both the reduction in cell viability and the ascorbate-induced generation of intracellular reactive oxygen species could be significantly increased by incubating the cells with Fe3+ before ascorbate treatment. This work demonstrates, for the first time, an increase in ascorbate-induced intracellular ROS formation and cytotoxicity in human glioblastoma cells by pre-treatment of the tumor cells with ferric iron, as well as caspase-3 independence of cell death induced by high-dose ascorbate. Instead, the cell death mechanism caused by high-dose ascorbate in glioblastoma cells shows evidence of ferroptosis. The results of the present work provide insights into the efficacy and mode of action of pharmacological ascorbate for the therapy of glioblastoma, as well as indications for possible approaches to increase the effectiveness of ascorbate treatment. [ABSTRACT FROM AUTHOR]- Published
- 2024
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89. Switzerland
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Schusselé Filliettaz, Séverine, Berchtold, Peter, Peytremann-Bridevaux, Isabelle, Amelung, Volker, editor, Stein, Viktoria, editor, Suter, Esther, editor, Goodwin, Nicholas, editor, Nolte, Ellen, editor, and Balicer, Ran, editor
- Published
- 2021
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90. Interactive Unit Cell Visualization Tool for Crystal Lattice Structures
- Author
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Gruber, Corbin, James, Alec, Berchtold, Jeremy T., Wood, Zoe J., Scott, Gregory E., and Alghoul, Zahra
- Abstract
A set of visualizations developed for the purpose of explaining solid state lattice structures is presented in this paper. The visualizations provide students with the option to view stacking patterns, extended structures, and individual unit cells for simple, body-centered and face-centered cubic, and hexagonal close-packed structures. Additionally, the visualizations include lattice structures for NaCl and CaF[subscript 2], providing a visual perspective of empirical formulas and ionic lattice arrangements.
- Published
- 2020
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91. Celiac Axis Stenosis is an Underestimated Risk Factor for Increased Morbidity After Pancreatoduodenectomy
- Author
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Al-Saeedi, Mohammed, Sauer, Hendrik B., Ramouz, Ali, Koch, Julian M., Frank-Moldzio, Leonie, Bruckner, Tom, Loos, Martin, Mayer, Philipp, Klauss, Miriam, Kulu, Yakup, Berchtold, Christoph, Hoffmann, Katrin, Mehrabi, Arianeb, Schneider, Martin, Müller-Stich, Beat, Hackert, Thilo, Büchler, Markus W., and Strobel, Oliver
- Published
- 2023
- Full Text
- View/download PDF
92. Return on investments in the Health Extension Program in Ethiopia.
- Author
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Diana Bowser, Eckhard Kleinau, Grace Berchtold, David Kapaon, and Leulsegged Kasa
- Subjects
Medicine ,Science - Abstract
BackgroundSince 2003, the government of Ethiopia has trained and deployed more than 42,000 Health Extension Workers across the country to provide primary healthcare services. However, no research has assessed the return on investments into human resources for health in this setting. This study aims to fill this gap by analyzing the return on investment within the context of the Ethiopian Health Extension Program.MethodsWe collected data on associated costs and benefits attributed to the Health Extension Program from primary and secondary sources. Primary sources included patient exit interviews, surveys with Health Extension Workers and other health professionals, key informant interviews, and focus groups conducted in the following regions: Amhara, Oromia, Tigray, and the Southern Nations Nationalities and Peoples' Region. Secondary sources consisted of financial and administrative reports gathered from the Ministry of Health and its subsidiaries, as well as data accessed through the Lives Saved Tool. A long-run return on investment analysis was conducted considering program costs (personnel, recurrent, and capital investments) in comparison to benefits gained through improved productivity, equity, empowerment, and employment.FindingsBetween 2008-2017, Health Extension Workers saved 50,700 maternal and child lives. Much of the benefits were accrued by low income, less educated, and rural women who had limited access to services at higher level health centers and hospitals. Regional return ranged from $1.27 to $6.64, with an overall return on investment in the range of $1.59 to $3.71.ConclusionWhile evidence of return on investments are limited, results from the Health Extension Program in Ethiopia show promise for similar large, sustainable system redesigns. However, this evidence needs to be contextualized and adapted in different settings to inform policy and practice. The Ethiopian Health Extension Program can serve as a model for other nations of a large-scale human resources for health program containing strong economic benefits and long-term sustainability through successful government integration.
- Published
- 2023
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93. Validation of automatically measured T1 map cortico-medullary difference (ΔT1) for eGFR and fibrosis assessment in allograft kidneys
- Author
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Ibtisam Aslam, Fariha Aamir, Miklós Kassai, Lindsey A. Crowe, Pierre-Alexandre Poletti, Sophie de Seigneux, Solange Moll, Lena Berchtold, and Jean-Paul Vallée
- Subjects
Medicine ,Science - Abstract
MRI T1-mapping is an important non-invasive tool for renal diagnosis. Previous work shows that ΔT1 (cortex-medullary difference in T1) has significant correlation with interstitial fibrosis in chronic kidney disease (CKD) allograft patients. However, measuring cortico-medullary values by manually drawing ROIs over cortex and medulla (a gold standard method) is challenging, time-consuming, subjective and requires human training. Moreover, such subjective ROI placement may also affect the work reproducibility. This work proposes a deep learning-based 2D U-Net (RCM U-Net) to auto-segment the renal cortex and medulla of CKD allograft kidney T1 maps. Furthermore, this study presents a correlation of automatically measured ΔT1 values with eGFR and percentage fibrosis in allograft kidneys. Also, the RCM U-Net correlation results are compared with the manual ROI correlation analysis. The RCM U-Net has been trained and validated on T1 maps from 40 patients (n = 2400 augmented images) and tested on 10 patients (n = 600 augmented images). The RCM U-Net segmentation results are compared with the standard VGG16, VGG19, ResNet34 and ResNet50 networks with U-Net as backbone. For clinical validation of the RCM U-Net segmentation, another set of 114 allograft kidneys patient’s cortex and medulla were automatically segmented to measure the ΔT1 values and correlated with eGFR and fibrosis. Overall, the RCM U-Net showed 50% less Mean Absolute Error (MAE), 16% better Dice Coefficient (DC) score and 12% improved results in terms of Sensitivity (SE) over conventional CNNs (i.e. VGG16, VGG19, ResNet34 and ResNet50) while the Specificity (SP) and Accuracy (ACC) did not show significant improvement (i.e. 0.5% improvement) for both cortex and medulla segmentation. For eGFR and fibrosis assessment, the proposed RCM U-Net correlation coefficient (r) and R-square (R2) was better correlated (r = -0.2, R2 = 0.041 with p = 0.039) to eGFR than manual ROI values (r = -0.19, R2 = 0.037 with p = 0.051). Similarly, the proposed RCM U-Net had noticeably better r and R2 values (r = 0.25, R2 = 0.065 with p = 0.007) for the correlation with the renal percentage fibrosis than the Manual ROI results (r = 0.3, R2 = 0.091 and p = 0.0013). Using a linear mixed model, T1 was significantly higher in the medulla than in the cortex (p
- Published
- 2023
94. Survival prognostic and recurrence risk factors after single pulmonary metastasectomy
- Author
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Céline Forster, Amaya Ojanguren, Jean Yannis Perentes, Matthieu Zellweger, Thorsten Krueger, Etienne Abdelnour-Berchtold, and Michel Gonzalez
- Subjects
Pulmonary metastases ,Pulmonary metastasectomy ,VATS ,Surgery ,RD1-811 ,Anesthesiology ,RD78.3-87.3 - Abstract
Abstract Background Identification of the prognostic factors of recurrence and survival after single pulmonary metastasectomy (PM). Methods Retrospective analysis of all consecutive patients who underwent PM for a single lung metastasis between 2003 and 2018. Results A total of 162 patients with a median age of 64 years underwent single PM. Video-Assisted Thoracic Surgery (VATS) was performed in 83.9% of cases. Surgical resection was achieved by wedge in 73.5%, segmentectomy in 7.4%, lobectomy in 17.9% and pneumonectomy in 1.2% of cases. The median durations of hospital stay and of drainage were 4 days (IQR 3–7) and 1 day (IQR 1–2), respectively. During the follow-up (median 31 months; IQR 15–58), 93 patients (57.4%) presented recurrences and repeated PM could be realized in 35 patients (21.6%) achieved by VATS in 77.1%. Non-colorectal tumour (HR 1.84), age
- Published
- 2021
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95. Effects of stocking density and grading on behaviour, cannibalism and performance of African catfish (Clarias gariepinus) fry
- Author
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Lisa Carolina Wenzel, Erwin Berchtold, and Harry Wilhelm Palm
- Subjects
African catfish fry ,Stocking density ,Grading ,Cannibalism ,Mortality ,Behaviour ,Aquaculture. Fisheries. Angling ,SH1-691 - Abstract
African catfish hatcheries in Europe require economical fry availability throughout the year. Purpose of this study was to identify the best suitable stocking density and appropriate grading regime for African catfish fry of around 0.1 g in 3 experiments (E1, E2 and E3). In E1, 3 stocking densities (10, 20 and 30 fry L−1) without grading were compared for behaviour, mortality, cannibals and growth. In E2, additional daily manual grading removed shooters or potential cannibals. In E3, 3 different handling procedures (manual grading on days 2, 4, 6 and 8: 2dH, manual grading on day 5: 5dH, self-grading on day 5: 5dS) under highest stocking density (30 fish L−1) were applied. Each experiment lasted 10 days and the fish had a mean initial weight of 0.08, 0.06 and 0.06 g fish−1, respectively. In E1 and E2 stock activity increased with increasing stocking density but aggressive behaviour was lowest at the higher stocking densities. The stocking density had no significant effect on mortality rates or growth performance from 10 to 30 fish L−1 between groups. However, regular removal of cannibals reduced the total mean mortality rate from 25 % in E1 to less than 5 % in E2 and E3. The mean feed conversion ratio (FCR) improved from 0.68 in E1 to ≤ 0.55 in E2 and E3. The tested handling procedures revealed no significant differences in fry behaviour and performance, while final stocking densities increased with decreasing handling stress. This suggests that African catfish fry of about 0.1 g are kept optimally at high stocking densities of 30 fish L−1 or 30,000 fry m−3 inside regular breeding containments, with effective self-grading every 5 days in order to reduce total mortality, maximize production and minimize the amount of labor.
- Published
- 2022
- Full Text
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96. Nachhaltige Unternehmensführung: Leitprinzip und Handlungsfelder in der Praxis
- Author
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Schellinger, Jochen, Berchtold, Philipp, Tokarski, Kim Oliver, Tokarski, Kim Oliver, editor, Schellinger, Jochen, editor, and Berchtold, Philipp, editor
- Published
- 2019
- Full Text
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97. Multimodal Therapy Approaches for NUT Carcinoma by Dual Combination of Oncolytic Virus Talimogene Laherparepvec with Small Molecule Inhibitors
- Author
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Sotiriadis, Stavros, primary, Beil, Julia, additional, Berchtold, Susanne, additional, Smirnow, Irina, additional, Schenk, Andrea, additional, and Lauer, Ulrich M., additional
- Published
- 2024
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- View/download PDF
98. #2478 Multiparametric magnetic resonance imaging predicts decline of kidney function but does not perform better than diffusion-weighted MRI alone
- Author
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Huber, Aurélie, primary, de Seigneux, Sophie, additional, Aslam, Ibtisam, additional, De Perrot, Thomas, additional, Vallée, Jean-Paul, additional, Pruijm, Menno, additional, and Berchtold, Lena, additional
- Published
- 2024
- Full Text
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99. #2484 Diffusion magnetic resonance imaging, a noninvasive tool to assess fibrosis level in both native and allograft kidneys
- Author
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Huber, Aurélie, primary, Aslam, Ibtisam, additional, de Seigneux, Sophie, additional, De Perrot, Thomas, additional, Vallée, Jean-Paul, additional, Pruijm, Menno, additional, and Berchtold, Lena, additional
- Published
- 2024
- Full Text
- View/download PDF
100. JAB Code - A Versatile Polychrome 2D Barcode.
- Author
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Waldemar Berchtold, Huajian Liu, Martin Steinebach, Dominik Klein, Tobias Senger, and Nicolas Thenée
- Published
- 2020
- Full Text
- View/download PDF
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