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9. Effect of air pollution on disease burden, mortality, and life expectancy in North Africa and the Middle East: a systematic analysis for the Global Burden of Disease Study 2019

Author

Abbasi-Kangevari, Mohsen, Malekpour, Mohammad-Reza, Masinaei, Masoud, Saeedi Moghaddam, Sahar, Ghamari, Seyyed-Hadi, Abbasi-Kangevari, Zeinab, Rezaei, Negar, Rezaei, Nazila, Aali, Amirali, Abdollahzade, Sina, Abdulrahman, Salam Abdulqadir, Abubaker Ali, Hiwa, Ahmad, Aqeel, Ahmad, Rizwan, Ahmadi, Ali, Ahmadian, Mohammad, Ahmed, Haroon, Ahmed Rashid, Tarik, Ajami, Marjan, Al Hamad, Hanadi, Alhalaiqa, Fadwa Alhalaiqa Naji, Alipour, Vahid, Almustanyir, Sami, Aminian Dehkordi, Javad, Amiri, Sohrab, Arabloo, Jalal, Arulappan, Judie, Aryan, Zahra, Athari, Seyyed Shamsadin, Azadnajafabad, Sina, Baghcheghi, Nayereh, Bahrami Asl, Farshad, Baltatu, Ovidiu Constantin, Bashiri, Azadeh, Bhagavathula, Akshaya Srikanth, Bijani, Ali, Bitaraf, Saeid, Brauer, Michael, Cheraghi, Maria, Dahlawi, Saad M A, Dargahi, Abdollah, Darvishi Cheshmeh Soltani, Reza, Dianatinasab, Mostafa, Dodangeh, Milad, Eini, Ebrahim, El Sayed Zaki, Maysaa, El-Abid, Hassan, Elhadi, Muhammed, Eskandarieh, Sharareh, Falahi, Shahab, Fareed, Mohammad, Fatehizadeh, Ali, Fazlzadeh, Mehdi, Ghamari, Farhad, Ghanbari, Reza, Ghashghaee, Ahmad, Gholizadeh, Abdolmajid, Golitaleb, Mohamad, Goudarzi, Gholamreza, Hadei, Mostafa, Hamadeh, Randah R, Hamidi, Samer, Hasaballah, Ahmed I, Hasani, Hamidreza, Hassanipour, Soheil, Hezam, Kamal, Hoseini, Mohammad, Hosseini, Mohammad-Salar, Hosseinzadeh, Mehdi, Hoveidamanesh, Soodabeh, Jaafari, Jalil, Janjani, Hosna, Jayapal, Sathish Kumar, Kalankesh, Laleh R, Kalhor, Rohollah, Karkhah, Samad, Kaydi, Neda, Khader, Yousef Saleh, Khafaie, Morteza Abdullatif, Khanali, Javad, Khatatbeh, Moawiah Mohammad, Koolivand, Ali, Kuddus, Mohammed, Lami, Faris Hasan, Mahjoub, Soleiman, Maleki, Afshin, Malik, Ahmad Azam, Masoudi, Sahar, Menezes, Ritesh G, Mir, Shabir Ahmad, Mohamadkhani, Ashraf, Mohammadi, Esmaeil, Mohammadi, Mohammad Javad, Mohammadi, Mokhtar, Montazeri, Fateme, Moraga, Paula, Morovatdar, Negar, Murray, Christopher J L, Norouzian Baghani, Abbas, Pakshir, Keyvan, Pazoki Toroudi, Hamidreza, Pirsaheb, Meghdad, Pourabhari Langroudi, Ashkan, Rahim, Fakher, Rahimi, Mehran, Rahmani, Shayan, Rashedi, Sina, Rasul, Azad, Redwan, Elrashdy Moustafa Mohamed, Rezaeian, Mohsen, Sadeghian, Saeid, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salamati, Payman, Salari, Hedayat, Samy, Abdallah M, Sathian, Brijesh, Sharafi, Kiomars, Sheikhy, Ali, Shobeiri, Parnian, Shokri Varniab, Zahra, Shorofi, Seyed Afshin, Taheri, Ensiyeh, Valadan Tahbaz, Sahel, Vaziri, Siavash, Vosoughi, Mehdi, Yari, Kheirollah, Yigit, Arzu, Yigit, Vahit, Zaki, Leila, Zare, Iman, Zarei, Ahmad, Zareshahrabadi, Zahra, Mokdad, Ali H, Naghavi, Mohsen, Larijani, Bagher, Farzadfar, Farshad, and Moghaddam, Sahar Saeedi

Published
2023
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11. Global mortality associated with 33 bacterial pathogens in 2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Ikuta, Kevin S, Swetschinski, Lucien R, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Davis Weaver, Nicole, Wool, Eve E, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azari Jafari, Amirhossein, B, Darshan B, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Baskaran, Pritish, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Bedi, Neeraj, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bender, Rose G, Bhandari, Bharti, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhattarai, Suraj, Bitaraf, Saeid, Buonsenso, Danilo, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Jiao, Calina, Daniela, Camargos, Paulo, Cámera, Luis Alberto, Cárdenas, Rosario, Cevik, Muge, Chadwick, Joshua, Charan, Jaykaran, Chaurasia, Akhilanand, Ching, Patrick R, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Das, Saswati, Dastiridou, Anna, Debela, Sisay Abebe, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Derese, Msganaw, Desai, Hardik Dineshbhai, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Desye, Belay, Dhaduk, Kartik, Dhimal, Meghnath, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Dora, Bezabih Terefe, Dorostkar, Fariba, Dsouza, Haneil Larson, Dubljanin, Eleonora, Dunachie, Susanna J, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ejigu, Habtamu Bekele, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, El-Abid, Hassan, Elhadi, Muhammed, Elmonem, Mohamed A, Emami, Amir, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshrati, Babak, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Falahi, Shahab, Fallahzadeh, Aida, Faraon, Emerito Jose A, Fatehizadeh, Ali, Fekadu, Ginenus, Fernandes, João C, Ferrari, Allegra, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andras, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Ganesan, Balasankar, Gebrehiwot, Mesfin, Ghanbari, Reza, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Goodridge, Amador, Gunawardane, Damitha Asanga, Guo, Yuming, Gupta, Rajat Das, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Halwani, Rabih, Hanif, Asif, Hannan, Md. Abdul, Harapan, Harapan, Hassan, Shoaib, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Iwu, Chinwe Juliana, J, Linda Merin, Jakovljevic, Mihajlo, Jamshidi, Elham, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jebai, Rime, Jha, Ravi Prakash, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kapoor, Neeti, Karkhah, Samad, Kassa, Bekalu Getnet, Kassebaum, Nicholas J, Katoto, Patrick DMC, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khatatbeh, Moawiah Mohammad, Khater, Mona M, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Hanna, Kim, Min Seo, Kimokoti, Ruth W, Kissoon, Niranjan, Kochhar, Sonali, Kompani, Farzad, Kosen, Soewarta, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krapp Lopez, Fiorella, Krishan, Kewal, Krishnamoorthy, Vijay, Kulkarni, Vishnutheertha, Kumar, Naveen, Kurmi, Om P, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Lasrado, Savita, Lee, Sang-woong, Lenzi, Jacopo, Lewycka, Sonia, Li, Shanshan, Lim, Stephen S, Liu, Wei, Lodha, Rakesh, Loftus, Michael J, Lohiya, Ayush, Lorenzovici, László, Lotfi, Mojgan, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Mamo, Galana Ayana, Manla, Yosef, Martorell, Miquel, Matei, Clara N, McManigal, Barney, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza-Cano, Oliver, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Micha, Georgia, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Milevska Kostova, Neda, Mir, Shabir Ahmad, Mirghafourvand, Mojgan, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke, Misra, Sanjeev, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moore, Catrin E, Moradi, Maryam, Moradi Sarabi, Mostafa, Morrison, Shane Douglas, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Mulita, Francesk, Mulu, Getaneh Baye B, Munro, Sandra B, Muthupandian, Saravanan, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Narang, Himanshi, Natto, Zuhair S, Naveed, Muhammad, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Ngwa, Che Henry, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Ojha, Vivek Anand, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Nikita, Oumer, Bilcha, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palicz, Tamás, Pana, Adrian, Pardhan, Shahina, Paredes, Jose L, Parekh, Utsav, Park, Eun-Cheol, Park, Seoyeon, Pathak, Ashish, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Pereira, Marcos, Peres, Mario F P, Perico, Norberto, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Podder, Indrashis, Pokhrel, Nayanum, Poluru, Ramesh, Postma, Maarten J, Pourtaheri, Naeimeh, Prashant, Akila, Qattea, Ibrahim, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Raeghi, Saber, Rafiei, Sima, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Regasa, Misganu Teshoma, Remuzzi, Giuseppe, Reta, Melese Abate, Rezaei, Nazila, Rezapour, Aziz, Riad, Abanoub, Ripon, Rezaul Karim, Rudd, Kristina E, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salahi, Saina, Salahi, Sarvenaz, Salari, Hedayat, Salehi, Sana, Samadi Kafil, Hossein, Samy, Abdallah M, Sanadgol, Nima, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shah, Pritik A, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Sharew, Mequannent Melaku, Sharifi-Razavi, Athena, Sharma, Purva, Sheikhi, Rahim Ali, Sheikhy, Ali, Shetty, Pavanchand H, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shobeiri, Parnian, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Sidemo, Negussie Boti, Sikder, Mustafa Kamal, Silva, Luís Manuel Lopes Rodrigues, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solomon, Damtew Damtew, Song, Yimeng, Sreeramareddy, Chandrashekhar T, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Szócska, Miklós, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taki, Elahe, Tan, Ker-Kan, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Belay Negash, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tharwat, Samar, Thiyagarajan, Arulmani, Tleyjeh, Imad I, Troeger, Christopher E, Umapathi, Krishna Kishore, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Van den Eynde, Jef, van Doorn, H. Rogier, Vaziri, Siavash, Verras, Georgios-Ioannis, Viswanathan, Harimadhav, Vo, Bay, Waris, Abdul, Wassie, Gizachew Tadesse, Wickramasinghe, Nuwan Darshana, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yahyazadeh Jabbari, Seyed Hossein, Yigit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, Zahir, Mazyar, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zangiabadian, Moein, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, and Naghavi, Mohsen

Published
2022
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12. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Argaw, Ayele Mamo, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Aruleba, Raphael Taiwo, Aryannejad, Armin, Asaad, Malke, Asemahagn, Mulusew A, Asemi, Zatollah, Asghari-Jafarabadi, Mohammad, Ashraf, Tahira, Assadi, Reza, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Ayen, Solomon Shitu, Azadi, Davood, Azadnajafabad, Sina, Azami-Aghdash, Saber, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azizi, Hosein, Azzam, Ahmed Y Y, Babajani, Amirhesam, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nader, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Bakhtiari, Ahad, Bakshi, Ravleen Kaur, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Bashir, Nasir Z, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Begum, Aeysha, Bekele, Alehegn Bekele, Belay, Alemayehu Sayih, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Belo, Luis, Benzian, Habib, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bernabe, Eduardo, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Bharti Bhandari, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bhuyan, Soumitra S, Bibi, Sadia, Bilchut, Awraris Hailu, Bintoro, Bagas Suryo, Biondi, Antonio, Birega, Mesfin Geremaw Birega, Birhan, Habitu Eshetu, Bjørge, Tone, Blyuss, Oleg, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brauer, Michael, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Buchanan, Christina Maree, Bulamu, Norma B, Bustamante-Teixeira, Maria Teresa, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Márcia, Cembranel, Francieli, Cerin, Ester, Chakraborty, Promit Ananyo, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chirinos-Caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Cho, William C S, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cohen, Aaron J, Conde, Joao, Cortés, Sandra, Costa, Vera Marisa, Cruz-Martins, Natália, Culbreth, Garland T, Dadras, Omid, Dagnaw, Fentaw Teshome, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Danielewicz, Anna, Dao, An Thi Minh, Darvishi Cheshmeh Soltani, Reza, Darwesh, Aso Mohammad, Das, Saswati, Davitoiu, Dragos Virgil, Davtalab Esmaeili, Elham, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dehghan, 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Naohiro, Younis, Mustafa Z, Yousefi, Zabihollah, Yousefian, Fatemeh, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Nazar, Zaman, Burhan Abdullah, Zangiabadian, Moein, Zare, Fariba, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeineddine, Mohammad A, Zhang, Dongyu, Zhang, Jianrong, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhou, Linghui, Zodpey, Sanjay, Zoladl, Mohammad, Vos, Theo, Hay, Simon I, Force, Lisa M, and Murray, Christopher J L

Published
2022
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14. Glycemic profile variability as an independent predictor of diabetic retinopathy in patients with type 2 diabetes: a prospective cohort study.

Author

Dehghani Firouzabadi, Fatemeh, Poopak, Amirhossein, Samimi, Sahar, Deravi, Niloofar, Nakhaei, Pooria, Sheikhy, Ali, Moosaie, Fatemeh, Rabizadeh, Soghra, Meysamie, Alipasha, Nakhjavani, Manouchehr, and Esteghamati, Alireza

Subjects
TYPE 2 diabetes, DIABETIC retinopathy, PEOPLE with diabetes, GLYCOSYLATED hemoglobin, GLYCEMIC index
Abstract

Background: Glycemic variability is a novel predictor for diabetic complications. Different studies have demonstrated contradictory results for the association between HbA1c variability and diabetic retinopathy. We aimed to assess the relationship between visit-to-visit variability in glycemic profile (HbA1c, 2hPP, and FBS) and diabetic retinopathy. Methods: Patients with type 2 diabetes were monitored for the development of retinopathy for 10 years. The association between the incidence of retinopathy and glycemic variability was assessed via Cox regression analysis, and coefficient of variation for glycemic indices was compared using independent sample t -test. Results: Patients with diabetic retinopathy had significantly higher glycemic profile variability. The incidence of retinopathy was positively correlated with cv-FBS10% (10% of coefficient of variance), cv-FBS20%, cv-2hpp10%, and cv-HbA1c5%. Our analysis revealed that the higher variability of FBS increased the incidence and progression of retinopathy (HR: 12.29, p -value = 0.003). Conclusion: Our findings demonstrated glycemic profile variability as an independent risk factor for diabetic retinopathy in patients with type 2 diabetes and support glycemic profile variability measurement in addition to common glycemic parameters to improve risk stratification in patients with type 2 diabetes. Further investigation is required to demonstrate the long-term effects of alleviating glycemic variability on the prognosis of patients with type 2 diabetes. [ABSTRACT FROM AUTHOR]

Published
2024
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15. The burden of chronic respiratory disease and attributable risk factors in North Africa and Middle East: findings from global burden of disease study (GBD) 2019

Author

Fallahzadeh, Aida, Sharifnejad Tehrani, Yeganeh, Sheikhy, Ali, Ghamari, Seyyed-Hadi, Mohammadi, Esmaeil, Saeedi Moghaddam, Sahar, Esfahani, Zahra, Nasserinejad, Maryam, Shobeiri, Parnian, Rashidi, Mohammad-Mahdi, Rezaei, Nazila, Heidari-Foroozan, Mahsa, Rezaei, Negar, Larijani, Bagher, and Farzadfar, Farshad

Published
2022
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20. The association of radiologic right heart strain indices with the severity of pulmonary parenchymal involvement and prognosis in patients with COVID-19.

Author

Rouzrokh, Parsa, Rezaee, Malihe, Mohammadipour, Zahra, Tavana, Sasan, Khaheshi, Isa, Sheikhy, Ali, and Faghihi Langroudi, Taraneh

Subjects
RISK assessment, RECEIVER operating characteristic curves, PULMONARY artery, COMPUTED tomography, HOSPITAL care, LOGISTIC regression analysis, SEVERITY of illness index, SYMPTOMS, RETROSPECTIVE studies, AORTA, ODDS ratio, LUNG diseases, RIGHT ventricular dysfunction, CORONARY angiography, ADVERSE health care events, COVID-19, HEART ventricles, DISEASE risk factors
Abstract

Introduction: It has been demonstrated that an increase in the diameter of the right ventricle or pulmonary artery in COVID-19 patients could be associated with the severity of lung involvement and may lead to unfavorable outcomes, particularly in the presence of pulmonary vascular diseases. This study investigated the relationship between these right heart strain features, the extent of lung involvement, and their prognostic values in patients without vascular comorbidities. Methods: This study selected 154 consecutive patients with positive chest computed tomography (CT) findings and no evidence of concurrent pulmonary disease. Clinical characteristics and adverse outcomes in in-hospital settings were collected retrospectively. Diameters of cardiac ventricles and arteries, along with lung opacification scores, were obtained using CT pulmonary angiography (CTPA) findings, and the association of these variables was evaluated. Results: An increase in pulmonary artery (PA) to ascending aorta (AO) diameter ratio and lung parenchymal damage were significantly and positively correlated (P =0.017), but increased right ventricle (RV) to left ventricle (LV) diameter ratio showed no association with the extent of chest opacification (P =0.098). Evaluating the prognostic ability of both ratios using logistic regression and receiver operating characteristic (ROC) analysis proved no significant class separation in regards to predicting adverse outcomes (PA/AO: OR:1.081, P Value:0.638, RV/LV: OR:1.098, P Value:0.344). Conclusion: In COVID-19 patients without vascular comorbidities, a higher PA/AO diameter ratio was significantly associated with increased lung involvement severity on CT imaging but not with adverse in-hospital outcomes. Conversely, an increased RV/LV ratio on CTPA did not correlate significantly with adverse outcomes or the severity of parenchymal lung damage. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Nonalcoholic Fatty Liver Disease as a Potential Risk Factor for Cardiovascular Disease in Patients with Type 2 Diabetes: A Prospective Cohort Study.

Author

Dehghani Firouzabadi, Mohammad, Poopak, Amirhossein, Sheikhy, Ali, Dehghani Firouzabadi, Fatemeh, Moosaie, Fatemeh, Rabizadeh, Soghra, Momtazmanesh, Sara, Nakhjavani, Manouchehr, Esteghamati, Alireza, and Pintaudi, Basilio

Subjects
NON-alcoholic fatty liver disease, CARDIOVASCULAR diseases, RESEARCH funding, ATHEROSCLEROSIS, DESCRIPTIVE statistics, LONGITUDINAL method, TYPE 2 diabetes, COMPARATIVE studies, CONFIDENCE intervals, PROPORTIONAL hazards models, REGRESSION analysis, DISEASE complications
Abstract

Background and Objectives. Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder in western countries. Although the etiology of NAFLD is unknown, insulin resistance is a key mechanism of lipid deposition in hepatocytes leading to steatosis and potentially steatohepatitis in patients with diabetes. These factors accelerate the progression of atherosclerosis and development of cardiovascular diseases (CVD). Methods and Results. In this prospective cohort study, 1197 patients with type 2 diabetes (T2D) were divided into two groups (360 patients with NAFLD and 847 without NAFLD) and were followed for a median of 5 years for the incidence of CVD. Cox regression analysis was used to assess the association between NAFLD, liver enzyme level, aspartate aminotransferase to platelet ratio index (APRI), and the incidence risk of CVD and its subgroups (i.e., myocardial infarction, chronic heart disease, coronary artery bypass grafting, and percutaneous coronary intervention). There was a significant positive association between CVD incidence and NAFLD (HR = 1.488, 95% CI = 1.041–2.124, p value = 0.029). Although patients with NAFLD had higher levels of ALT and AST levels (p value = <0.001), there was no significant association between liver enzymes and the incidence risk of CVD when adjusted for different variables. Furthermore, NAFLD was associated with NAFLD APRI Q (2), APRI Q (3), and APRIQ (4) (1.365 (1.046–1.781), 1.623 (1.234–2.135), and 3.373 (2.509–4.536)), respectively. Conclusion. NAFLD increased the incidence risk of CVD in T2D. However, there was no association between liver enzymes (ALT, AST, ALK‐P, and GGT) and a higher incidence risk of CVD in T2D when adjusted for confounding variables. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Risk factor profile and outcomes of premature acute coronary syndrome after percutaneous coronary intervention: A 1‐year prospective design.

Author

Fallahzadeh, Aida, Mehraban, Saghar, Mahmoodi, Tara, Sheikhy, Ali, Naderian, Mohammadreza, Afsaneh Aein, Phd, Rafiee, Hamed, Mehrani, Mehdi, Tajdini, Masih, Masoud‐kabir, Farzad, Sadeghian, Saeed, and Hosseini, Kaveh

Subjects
MYOCARDIAL infarction, ACUTE coronary syndrome, PERCUTANEOUS coronary intervention, OLDER patients, CORONARY artery disease, CARDIOVASCULAR diseases risk factors
Abstract

Background: The prevalence of acute coronary syndrome (ACS) among young adults (premature ACS) has dramatically increased in recent years, especially in developing countries. Yet, the data on these patients' attributed risk factors and outcomes are inconsistent. In this study, we aimed to investigate these data in a cohort of premature ACS cases who underwent percutaneous coronary intervention (PCI) compared to older patients. Hypothesis: We hypothesize that premature ACS patients undergoing PCI will exhibit different risk factor profiles and outcomes compared to non‐premature patients. specifically, we anticipate that premature patients do not necessarily have better outcomes than non‐premature. Methods: Overall, 3142 and 10 399 patients were included in premature and non‐premature groups, respectively. Patients' pre‐operative, post‐operative, and follow‐up data were retrieved retrospectively from the Tehran Heart Center PCI databank. Results: The mean age of premature and non‐premature cohorts was 48.39 and 67 years, respectively. Patients were predominantly male in both groups. Family history of coronary artery disease (CAD), dyslipidemia, smoking, and opium addiction were more prevalent among the younger cohort. After adjustment, in‐hospital mortality in younger patients was considerably higher, with all‐cause mortality and major cardiovascular and cerebrovascular events (MACCE) exhibiting no noticeable difference among the two groups. Conclusions: Risk factor profile is different in young patients, and traditional cardiovascular risk factors, such as hypertension and diabetes mellitus, are more prevalent among older adults. Younger age is not equivalent to a better prognosis; hence, similar or even more caution should be taken into consideration regarding secondary prevention for these patients. [ABSTRACT FROM AUTHOR]

Published
2024
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28. The role of arachnoid granulations in idiopathic intracranial hypertension.

Author

Huda, Fahimul, Abdelmonem, Ahmed, Dehghani Firouzabadi, Fatemeh, Srinivas Dola, Venkata Naga, Sheikhy, Ali, and Taheri, M Reza

Abstract

Objectives: Idiopathic intracranial hypertension (IIH) is a disease defined by elevated intracranial pressure (ICP) without an established etiology. Arachnoid granulations (AG) are conduits for CSF resorption from the subarachnoid space to the venous system. AG have been implicated to play a central role in maintaining CSF homeostasis. We tested the hypothesis that patients with fewer visible AG on MRI are more likely to present with IIH. Methods: In this institutional review board (Institutional Review Board)-approved retrospective chart review study, 65 patients with a clinical diagnosis of idiopathic intracranial hypertension were compared to 144 control patients who met inclusion/exclusion criteria. Patients' signs and symptoms pertaining to IIH were obtained through the electronic medical record Brain MR images were reviewed for the number and distribution of AGs indenting the dural venous sinuses. The presence of imaging and clinical findings associated with long standing increased ICP was noted. Propensity score method (with inverse probability weighting technique) was used to compare case and control groups. Results: In the control group, the number of AG indenting the dural venous sinuses on MRI (NAG) was lower in women compared to men when matched for age (20–45 yo) and BMI (>30 kg/m2). The NAG was lower in 20–45 yo females in the IIH group as compared to the 20–45 yo females in the control group. This statistically significant difference persists when controlled for BMI. In contrast, the NAG in >45 yo females in the IIH group trended higher compared to the >45 yo females in the control group. Conclusion: Our results suggest that alterations in arachnoid granulations could play a role in the development of IIH. [ABSTRACT FROM AUTHOR]

Published
2023
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29. A realistic approach to evaluating the effect of baseline lipid profile in postcoronary artery bypass grafting surgery.

Author

Sheikhy, Ali, Fallahzadeh, Aida, Sadeghian, Saeed, Pashang, Mina, Karimi, Abbas Ali, Bagheri, Jamshid, Ahmadi‐Tafti, Hossein, and Hosseini, Kaveh

Subjects
TRANSPLANTATION of organs, tissues, etc., LIPIDS, HDL cholesterol, CORONARY artery bypass, LDL cholesterol
Abstract

Background: There are still many uncertainties in the association between lipid profile and postcoronary artery bypass grafting (CABG) outcomes. Although simplifying the association to linear equations makes it understandable but cannot explain many findings. Hypothesis: There is a nonlinear associatin between lipid profile indices and adverse outcomes after CABG. Methods: A total of 17 555 patients who underwent isolated CABG between 2005 and 2016 were evaluated. During the median follow‐up of 75.24 months, the Restricted Cubic Splines (RCS) estimated from the Cox regression model adjusted for all possible confounders was applied to show a nonlinear relationship of lipid profile contents with the "ln hazard ratio" of mortality and major cerebro‐cardiac events (MACCE). Results: The relationship between LDL‐C and HDL‐C with all‐cause mortality was nonlinear (nonlinear p were.004 and <.001, respectively). The relationship between remnant cholesterol and all‐cause mortality was linear (linearity p =.023). Among men, those in the highest LDL‐C level (Q4, LDL‐C > 114) and those in the lowest HDL‐C level (Q1, HDL‐C < 30) showed a significantly higher risk of all‐cause mortality compared to other groups (compared with Q3, LDL‐C Q4, HR = 1.16, 95% confidence interval [CI]:1.02–1.26, p =.014; HDL‐C Q1, HR = 1.14, 95% CI: 1.01–1.31, p =.041). Female patients in the lowest HDL‐C level (Q1, HDL‐C < 30) showed a significantly higher (compared with Q3, HR = 1.14, 95% CI:1.01–1.31, p =.028) and those in the highest HDL‐C level (Q4, HDL‐C > 43) showed a significantly lower (compared with Q3, HR = 0.74, 95% CI:0.58–0.98, p =.019) risk of all‐cause mortality. Conclusion: Determining a universal cut off for components of lipid profile may be misleading and should better be revised. Extreme values (very low or very high) for HDL‐C and LDL‐C have different effects on cardiovascular outcomes. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Predictive value of hematological indices on incidence and severity of pulmonary embolism in COVID‐19 patients.

Author

Radkhah, Hanieh, Mansouri, Ensieh Sadat, Rahimipour Anaraki, Shiva, Gholizadeh Mesgarha, Milad, Sheikhy, Ali, Khadembashiri, Mohamad Mehdi, Khadembashiri, Mohamad Amin, Eslami, Mohamad, Mahmoodi, Tara, Inanloo, Behnaz, and Pour Mohammad, Arash

Subjects
PULMONARY embolism, SARS-CoV-2, COVID-19, BLOOD cell count
Abstract

Background: Pulmonary thromboembolism (PTE) is a common complication of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which raises the COVID‐19 disease's fatality rate from 3% to 45%. Nevertheless, due to fairly indistinguishable clinical symptoms and a lack of validated clinical prediction models, PTE diagnosis in COVID‐19 patients is challenging. This study aims to investigate the applicability of hematological indices to predict PTE incidence and its severity in SARS‐CoV‐2 patients. Methods: A retrospective cohort study was conducted on hospitalized patients with a confirmed diagnosis of SARS‐CoV‐2 infection who underwent CT angiography to assess probable PTE in them. The correlation between complete blood count parameters 1 day before CT angiography and CT angiography outcomes, and simplified pulmonary embolism severity index (s‐PESI) was investigated. Results: We discovered that among individuals with a probable PTE, males and those with higher platelet‐to‐lymphocyte (PLR) and neutrophil‐to‐lymphocyte (NLR) ratios had a greater likelihood of PTE incidence (p <.001,.027, and.037, respectively). PLR was a significant and independent predictor of PTE with a p value of.045. Moreover, a higher neutrophil count was associated with a higher s‐PESI score in COVID‐19 patients developing PTE (p:.038). Conclusions: Among hematological indices, NLR and more precisely PLR are cost‐effective and simply calculable markers that can assist physicians in determining whether or not COVID‐19 patients with clinically probable PTE require CT angiography and the higher neutrophil count can be employed as an indicator of PTE severity in COVID‐19 patients. Further large multicenter and prospective studies are warranted to corroborate these observations. [ABSTRACT FROM AUTHOR]

Published
2023
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32. a systematic analysis for the Global Burden of Disease Study 2019

Author

Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-kangevari, Mohsen, Abbasi-kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-raddadi, Rajaa M, Al-rifai, Rami H Hani, Al-sabah, Salman Khalifah, Al-tammemi, Ala'a B, Altawalah, Haya, Alvis-guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amirzade-iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-zozani, Morteza, Aremu, Olatunde, Argaw, Ayele Mamo, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Aruleba, Raphael Taiwo, Aryannejad, Armin, Asaad, Malke, Asemahagn, Mulusew A, Asemi, Zatollah, Asghari-jafarabadi, Mohammad, Ashraf, Tahira, Assadi, Reza, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Avila-burgos, Leticia, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Ayen, Solomon Shitu, Azadi, Davood, Azadnajafabad, Sina, Azami-aghdash, Saber, Azanaw, Melkalem Mamuye, Azangou-khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azizi, Hosein, Azzam, Ahmed Y Y, Babajani, Amirhesam, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nader, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Bakhtiari, Ahad, Bakshi, Ravleen Kaur, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-adesi, Francesco, Barra, Fabio, Barrow, Amadou, Bashir, Nasir Z, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-monim Mohammad, Begum, Aeysha, Bekele, Alehegn Bekele, Belay, Alemayehu Sayih, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Belo, Luis, Benzian, Habib, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bernabe, Eduardo, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Bharti Bhandari, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bhuyan, Soumitra S, Bibi, Sadia, Bilchut, Awraris Hailu, Bintoro, Bagas Suryo, Biondi, Antonio, Birega, Mesfin Geremaw Birega, Birhan, Habitu Eshetu, Bjørge, Tone, Blyuss, Oleg, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brauer, Michael, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Buchanan, Christina Maree, Bulamu, Norma B, Bustamante-teixeira, Maria Teresa, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Caetano Dos Santos, Florentino Luciano, Cámera, Luis Alberto, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Márcia, Cembranel, Francieli, Cerin, Ester, Chakraborty, Promit Ananyo, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-ochir, Odgerel, Chirinos-caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Cho, William C S, Christopher, Devasahayam J, Chu, Dinh-toi, Chukwu, Isaac Sunday, Cohen, Aaron J, Conde, Joao, Cortés, Sandra, Costa, Vera Marisa, Cruz-martins, Natália, Culbreth, Garland T, Dadras, Omid, Dagnaw, Fentaw Teshome, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Danielewicz, Anna, Dao, An Thi Minh, Darvishi Cheshmeh Soltani, Reza, Darwesh, Aso Mohammad, Das, Saswati, Davitoiu, Dragos Virgil, Davtalab Esmaeili, Elham, De La Hoz, Fernando Pio, Debela, Sisay Abebe, Dehghan, Azizallah, Demisse, Biniyam, Demisse, Fitsum Wolde, Denova-gutiérrez, Edgar, Derakhshani, Afshin, Derbew Molla, Meseret, Dereje, Diriba, Deribe, Kalkidan Solomon, Desai, Rupak, Desalegn, Markos Desalegn, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Dessie, Gashaw, Desta, Abebaw Alemayehu, Dewan, Syed Masudur Rahman, Dharmaratne, Samath Dhamminda, Dhimal, Meghnath, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dixit, Shilpi Gupta, Doaei, Saeid, Doan, Linh Phuong, Doku, Paul Narh, Dongarwar, Deepa, Dos Santos, Wendel Mombaque, Driscoll, Tim Robert, Dsouza, Haneil Larson, Durojaiye, Oyewole Christopher, Edalati, Sareh, Eghbalian, Fatemeh, Ehsani-chimeh, Elham, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Ekwueme, Donatus U, El Tantawi, Maha, Elbahnasawy, Mostafa Ahmed, Elbarazi, Iffat, Elghazaly, Hesham, Elhadi, Muhammed, El-huneidi, Waseem, Emamian, Mohammad Hassan, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshetu, Tegegne, Eshrati, Babak, Eskandarieh, Sharareh, Espinosa-montero, Juan, Etaee, Farshid, Etemadimanesh, Azin, Eyayu, Tahir, Ezeonwumelu, Ifeanyi Jude, Ezzikouri, Sayeh, Fagbamigbe, Adeniyi Francis, Fahimi, Saman, Fakhradiyev, Ildar Ravisovich, Faraon, Emerito Jose A, Fares, Jawad, Farmany, Abbas, Farooque, Umar, Farrokhpour, Hossein, Fasanmi, Abidemi Omolara, Fatehizadeh, Ali, Fatima, Wafa, Fattahi, Hamed, Fekadu, Ginenus, Feleke, Berhanu Elfu, Ferrari, Allegra Allegra, Ferrero, Simone, Ferro Desideri, Lorenzo, Filip, Irina, Fischer, Florian, Foroumadi, Roham, Foroutan, Masoud, Fukumoto, Takeshi, Gaal, Peter Andras, Gad, Mohamed M, Gadanya, Muktar A, Gaipov, Abduzhappar, Galehdar, Nasrin, Gallus, Silvano, Garg, Tushar, Gaspar Fonseca, Mariana, Gebremariam, Yosef Haile, Gebremeskel, Teferi Gebru, Gebremichael, Mathewos Alemu, Geda, Yohannes Fikadu, Gela, Yibeltal Yismaw, Gemeda, Belete Negese Belete, Getachew, Melaku, Getachew, Motuma Erena, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-hadi, Ghasemi Nour, Mohammad, Ghassemi, Fariba, Ghimire, Ajnish, Ghith, Nermin, Gholamalizadeh, Maryam, Gholizadeh Navashenaq, Jamshid, Ghozy, Sherief, Gilani, Syed Amir, Gill, Paramjit Singh, Ginindza, Themba G, Gizaw, Abraham Tamirat T, Glasbey, James C, Godos, Justyna, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Golitaleb, Mohamad, Gorini, Giuseppe, Goulart, Bárbara Niegia Garcia, Grosso, Giuseppe, Guadie, Habtamu Alganeh, Gubari, Mohammed Ibrahim Mohialdeen, Gudayu, Temesgen Worku, Guerra, Maximiliano Ribeiro, Gunawardane, Damitha Asanga, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Gurara, Mekdes Kondale, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atlas, Hafezi-nejad, Nima, Hajj Ali, Adel, Haj-mirzaian, Arvin, Halboub, Esam S, Halimi, Aram, Halwani, Rabih, Hamadeh, Randah R, Hameed, Sajid, Hamidi, Samer, Hanif, Asif, Hariri, Sanam, Harlianto, Netanja I, Haro, Josep Maria, Hartono, Risky Kusuma, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hasani, Hamidreza, Hashemi, Seyedeh Melika, Hassan, Abbas M, Hassanipour, Soheil, Hayat, Khezar, Heidari, Golnaz, Heidari, Mohammad, Heidarymeybodi, Zahra, Herrera-serna, Brenda Yuliana, Herteliu, Claudiu, Hezam, Kamal, Hiraike, Yuta, Hlongwa, Mbuzeleni Mbuzeleni, Holla, Ramesh, Holm, Marianne, Horita, Nobuyuki, Hoseini, Mohammad, Hossain, Md Mahbub, Hossain, Mohammad Bellal Hossain, Hosseini, Mohammad-salar, Hosseinzadeh, Ali, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Huang, Junjie, Hugo, Fernando N, Humayun, Ayesha, Hussain, Salman, Hussein, Nawfal R, Hwang, Bing-fang, Ibitoye, Segun Emmanuel, Iftikhar, Pulwasha Maria, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Immurana, Mustapha, Innos, Kaire, Iranpour, Pooya, Irham, Lalu Muhammad, Islam, Md Shariful, Islam, Rakibul M, Islami, Farhad, Ismail, Nahlah Elkudssiah, Isola, Gaetano, Iwagami, Masao, J, Linda Merin, Jaiswal, Abhishek, Jakovljevic, Mihajlo, Jalili, Mahsa, Jalilian, Shahram, Jamshidi, Elham, Jang, Sung-in, Jani, Chinmay T, Javaheri, Tahereh, Jayarajah, Umesh Umesh, Jayaram, Shubha, Jazayeri, Seyed Behzad, Jebai, Rime, Jemal, Bedru, Jeong, Wonjeong, Jha, Ravi Prakash, Jindal, Har Ashish, John-akinola, Yetunde O, Jonas, Jost B, Joo, Tamas, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Ali, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kahe, Farima, Kakodkar, Pradnya Vishal, Kalankesh, Laleh R, Kalankesh, Leila R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kamangar, Farin, Kamath, Ashwin, Kanchan, Tanuj, Kandaswamy, Eswar, Kandel, Himal, Kang, Hyejung, Kanno, Girum Gebremeskel, Kapoor, Neeti, Kar, Sitanshu Sekhar, Karanth, Shama D, Karaye, Ibraheem M, Karch, André, Karimi, Amirali, Kassa, Bekalu Getnet, Katoto, Patrick Dmc, Kauppila, Joonas H, Kaur, Harkiran, Kebede, Abinet Gebremickael, Keikavoosi-arani, Leila, Kejela, Gemechu Gemechu, Kemp Bohan, Phillip M, Keramati, Maryam, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abbas, Khan, Abdul Aziz Khan, Khan, Ejaz Ahmad, Khan, Gulfaraz, Khan, Md Nuruzzaman, Khan, Moien Ab, Khanali, Javad, Khatab, Khaled, Khatatbeh, Moawiah Mohammad, Khatib, Mahalaqua Nazli, Khayamzadeh, Maryam, Khayat Kashani, Hamid Reza, Khazeei Tabari, Mohammad Amin, Khezeli, Mehdi, Khodadost, Mahmoud, Kim, Min Seo, Kim, Yun Jin, Kisa, Adnan, Kisa, Sezer, Klugar, Miloslav, Klugarová, Jitka, Kolahi, Ali-asghar, Kolkhir, Pavel, Kompani, Farzad, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Koyanagi, Ai, Krishan, Kewal, Krishnamoorthy, Yuvaraj, Kucuk Bicer, Burcu, Kugbey, Nuworza, Kulimbet, Mukhtar, Kumar, Akshay, Kumar, G Anil, Kumar, Narinder, Kurmi, Om P, Kuttikkattu, Ambily, La Vecchia, Carlo, Lahiri, Arista, Lal, Dharmesh Kumar, Lám, Judit, Lan, Qing, Landires, Iván, Larijani, Bagher, Lasrado, Savita, Lau, Jerrald, Lauriola, Paolo, Ledda, Caterina, Lee, Sang-woong, Lee, Shaun Wen Huey, Lee, Wei-chen, Lee, Yeong Yeh, Lee, Yo Han, Legesse, Samson Mideksa, Leigh, James, Leong, Elvynna, Li, Ming-chieh, Lim, Stephen S, Liu, Gang, Liu, Jue, Lo, Chun-han, Lohiya, Ayush, Lopukhov, Platon D, Lorenzovici, László, Lotfi, Mojgan, Loureiro, Joana A, Lunevicius, Raimundas, Madadizadeh, Farzan, Mafi, Ahmad R, Magdeldin, Sameh, Mahjoub, Soleiman, Mahmoodpoor, Ata, Mahmoudi, Morteza, Mahmoudimanesh, Marzieh, Mahumud, Rashidul Alam, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Makris, Konstantinos Christos, Malakan Rad, Elaheh, Malekpour, Mohammad-reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Mallya, Sneha Deepak, Mamun, Mohammed A, Manda, Ana Laura, Mansour-ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mantovani, Lorenzo Giovanni, Martini, Santi, Martorell, Miquel, Masoudi, Sahar, Masoumi, Seyedeh Zahra, Matei, Clara N, Mathews, Elezebeth, Mathur, Manu Raj, Mathur, Vasundhara, Mckee, Martin, Meena, Jitendra Kumar, Mehmood, Khalid, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza, Walter, Menezes, Ritesh G, Mengesha, Sisay Derso, Mensah, Laverne G, Mentis, Alexios-fotios A, Mera-mamián, Andry Yasmid Mera, Meretoja, Tuomo J, Merid, Mehari Woldemariam, Mersha, Amanual Getnet, Meselu, Belsity Temesgen, Meshkat, Mahboobeh, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Michalek, Irmina Maria, Mijena, Gelana Fekadu Worku, Miller, Ted R, Mir, Shabir Ahmad, Mirinezhad, Seyed Kazem, Mirmoeeni, Seyyedmohammadsadeq, Mirza-aghazadeh-attari, Mohammad, Mirzaei, Hamed, Mirzaei, Hamid Reza, Misganaw, Abay Sisay, Misra, Sanjeev, Mohammad, Karzan Abdulmuhsin, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-hafshejani, Abdollah, Mohammadpourhodki, Reza, Mohammed, Arif, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Moka, Nagabhishek, Mokdad, Ali H, Molassiotis, Alex, Molokhia, Mariam, Momenzadeh, Kaveh, Momtazmanesh, Sara, Monasta, Lorenzo, Mons, Ute, Montasir, Ahmed Al, Montazeri, Fateme, Montero, Arnulfo, Moosavi, Mohammad Amin, Moradi, Abdolvahab, Moradi, Yousef, Moradi Sarabi, Mostafa, Moraga, Paula, Morawska, Lidia, Morrison, Shane Douglas, Morze, Jakub, Mosapour, Abbas, Mostafavi, Ebrahim, Mousavi, Seyyed Meysam, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mpundu-kaambwa, Christine, Mubarik, Sumaira, Mulita, Francesk, Munblit, Daniel, Munro, Sandra B, Murillo-zamora, Efrén, Musa, Jonah, Nabhan, Ashraf F, Nagarajan, Ahamarshan Jayaraman, Nagaraju, Shankar Prasad, Nagel, Gabriele, Naghipour, Mohammadreza, Naimzada, Mukhammad David, Nair, Tapas Sadasivan, Naqvi, Atta Abbas, Narasimha Swamy, Sreenivas, Narayana, Aparna Ichalangod, Nassereldine, Hasan, Natto, Zuhair S, Nayak, Biswa Prakash, Ndejjo, Rawlance, Nduaguba, Sabina Onyinye, Negash, Wogene Wogene, Nejadghaderi, Seyed Aria, Nejati, Kazem, Neupane Kandel, Sandhya, Nguyen, Huy Van Nguyen, Niazi, Robina Khan, Noor, Nurulamin M, Noori, Maryam, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-samudio, Virginia, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Odukoya, Oluwakemi Ololade, Oghenetega, Onome Bright, Ogunsakin, Ropo Ebenezer, Oguntade, Ayodipupo Sikiru, Oh, In-hwan, Okati-aliabad, Hassan, Okekunle, Akinkunmi Paul, Olagunju, Andrew T, Olagunju, Tinuke O, Olakunde, Babayemi Oluwaseun, Olufadewa, Isaac Iyinoluwa, Omer, Emad, Omonisi, Abidemi E Emmanuel, Ong, Sokking, Onwujekwe, Obinna E, Orru, Hans, Otstavnov, Stanislav S, Oulhaj, Abderrahim, Oumer, Bilcha, Owopetu, Oluwatomi Funbi, Oyinloye, Babatunji Emmanuel, P A, Mahesh, Padron-monedero, Alicia, Padubidri, Jagadish Rao, Pakbin, Babak, Pakshir, Keyvan, Pakzad, Reza, Palicz, Tamás, Pana, Adrian, Pandey, Anamika, Pandey, Ashok, Pant, Suman, Pardhan, Shahina, Park, Eun-cheol, Park, Eun-kee, Park, Seoyeon, Patel, Jay, Pati, Siddhartha, Paudel, Rajan, Paudel, Uttam, Paun, Mihaela, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pereira, Jeevan, Pereira, Renato B, Perna, Simone, Perumalsamy, Navaraj, Pestell, Richard G, Pezzani, Raffaele, Piccinelli, Cristiano, Pillay, Julian David, Piracha, Zahra Zahid, Pischon, Tobias, Postma, Maarten J, Pourabhari Langroudi, Ashkan, Pourshams, Akram, Pourtaheri, Naeimeh, Prashant, Akila, Qadir, Mirza Muhammad Fahd, Quazi Syed, Zahiruddin, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Radhakrishnan, Raghu Anekal, Radhakrishnan, Venkatraman, Raeisi, Mojtaba, Rafiee, Ata, Rafiei, Alireza, Raheem, Nasiru, Rahim, Fakher, Rahman, Md Obaidur, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajai, Nazanin, Rajesh, Aashish, Ram, Pradhum, Ramezanzadeh, Kiana, Rana, Juwel, Ranabhat, Kamal, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rashedi, Sina, Rashidi, Amirfarzan, Rashidi, Mahsa, Rashidi, Mohammad-mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Rehman, Ashfaq Ur, Rehman, Inayat Ur, Reitsma, Marissa B, Renzaho, Andre M N, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Negar, Rezaei, Nima, Rezaei, Saeid, Rezaeian, Mohsen, Rezapour, Aziz, Riad, Abanoub, Rikhtegar, Reza, Rios-blancas, Maria, Roberts, Thomas J, Rohloff, Peter, Romero-rodríguez, Esperanza, Roshandel, Gholamreza, Rwegerera, Godfrey M, S, Manjula, Saber-ayad, Maha Mohamed, Saberzadeh-ardestani, Bahar, Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Saeb, Mohammad Reza, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Salari, Hedayat, Salehi, Sana, Salem, Marwa Rashad, Salimzadeh, Hamideh, Samodra, Yoseph Leonardo, Samy, Abdallah M, Sanabria, Juan, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Santric-milicevic, Milena M, Saqib, Muhammad Arif Nadeem, Sarveazad, Arash, Sarvi, Fatemeh, Sathian, Brijesh, Satpathy, Maheswar, Sayegh, Nicolas, Schneider, Ione Jayce Ceola, Schwarzinger, Michaël, Šekerija, Mario, Senthilkumaran, Subramanian, Sepanlou, Sadaf G, Seylani, Allen, Seyoum, Kenbon, Sha, Feng, Shafaat, Omid, Shah, Pritik A, Shahabi, Saeed, Shahid, Izza, Shahrbaf, Mohammad Amin, Shahsavari, Hamid R, Shaikh, Masood Ali, Shaka, Mohammed Feyisso, Shaker, Elaheh, Shannawaz, Mohammed, Sharew, Mequannent Melaku Sharew, Sharifi, Azam, Sharifi-rad, Javad, Sharma, Purva, Shashamo, Bereket Beyene, Sheikh, Aziz, Sheikh, Mahdi, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Sheikhy, Ali, Shepherd, Peter Robin, Shetty, Adithi, Shetty, Jeevan K, Shetty, Ranjitha S, Shibuya, Kenji, Shirkoohi, Reza, Shirzad-aski, Hesamaddin, Shivakumar, K M, Shivalli, Siddharudha, Shivarov, Velizar, Shobeiri, Parnian, Shokri Varniab, Zahra, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Siddappa Malleshappa, Sudeep K, Sidemo, Negussie Boti, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva Julian, Guilherme, Silvestris, Nicola, Simegn, Wudneh, Singh, Achintya Dinesh, Singh, Ambrish, Singh, Garima, Singh, Harpreet, Singh, Jasvinder A, Singh, Jitendra Kumar, Singh, Paramdeep, Singh, Surjit, Sinha, Dhirendra Narain, Sinke, Abiy H, Siraj, Md Shahjahan, Sitas, Freddy, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Soeberg, Matthew J, Sofi-mahmudi, Ahmad, Solomon, Yonatan, Soltani-zangbar, Mohammad Sadegh, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soshnikov, Sergey, Sotoudeh, Houman, Sowe, Alieu, Sufiyan, Mu'awiyyah Babale, Suk, Ryan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Sur, Daniel, Szócska, Miklós, Tabaeian, Seidamir Pasha, Tabarés-seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabuchi, Takahiro, Tadbiri, Hooman, Taheri, Ensiyeh, Taheri, Majid, Taheri Soodejani, Moslem, Takahashi, Ken, Talaat, Iman M, Tampa, Mircea, Tan, Ker-kan, Tat, Nathan Y, Tat, Vivian Y, Tavakoli, Ahmad, Tavakoli, Arash, Tehrani-banihashemi, Arash, Tekalegn, Yohannes, Tesfay, Fisaha Haile, Thapar, Rekha, Thavamani, Aravind, Thoguluva Chandrasekar, Viveksandeep, Thomas, Nihal, Thomas, Nikhil Kenny, Ticoalu, Jansje Henny Vera, Tiyuri, Amir, Tollosa, Daniel Nigusse, Topor-madry, Roman, Touvier, Mathilde, Tovani-palone, Marcos Roberto, Traini, Eugenio, Tran, Mai Thi Ngoc, Tripathy, Jaya Prasad, Ukke, Gebresilasea Gendisha, Ullah, Irfan, Ullah, Saif, Ullah, Sana, Unnikrishnan, Bhaskaran, Vacante, Marco, Vaezi, Maryam, Valadan Tahbaz, Sahel, Valdez, Pascual R, Vardavas, Constantine, Varthya, Shoban Babu, Vaziri, Siavash, Velazquez, Diana Zuleika, Veroux, Massimiliano, Villeneuve, Paul J, Violante, Francesco S, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vu, Linh Gia, Wadood, Abdul Wadood, Waheed, Yasir, Walde, Mandaras Tariku, Wamai, Richard G, Wang, Cong, Wang, Fang, Wang, Ning, Wang, Yu, Ward, Paul, Waris, Abdul, Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Woldemariam, Melat, Woldu, Berhanu, Xiao, Hong, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yahyazadeh Jabbari, Seyed Hossein, Yang, Lin, Yazdanpanah, Fereshteh, Yeshaw, Yigizie, Yismaw, Yazachew, Yonemoto, Naohiro, Younis, Mustafa Z, Yousefi, Zabihollah, Yousefian, Fatemeh, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Nazar, Zaman, Burhan Abdullah, Zangiabadian, Moein, Zare, Fariba, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeineddine, Mohammad A, Zhang, Dongyu, Zhang, Jianrong, Zhang, Yunquan, Zhang, Zhi-jiang, Zhou, Linghui, Zodpey, Sanjay, Zoladl, Mohammad, Vos, Theo, Hay, Simon I, Force, Lisa M, Murray, Christopher J L, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), and DCM - Departamento de Ciência dos Materiais

Subjects
SDG 3 - Good Health and Well-being
Abstract

Funding: J A Loureiro reports support for the present manuscript from Scientific Employment Stimulus (FCT; CEECINST/00049/2018) as support to their salary and from UIDB/00511/2020 of the LEPABE, funded by national funds through the FCT/MCTES (PIDDAC) as research support. BACKGROUND: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). INTERPRETATION: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. FUNDING: Bill & Melinda Gates Foundation. publishersversion published

Published
2022

33. Non-celiac gluten sensitivity as a rare cause of growth retardation in children: a case series study

Author

Saneifard, Hedyeh, Sheikhy, Ali, Karbasian, Fereshteh, Eslamian, Golnaz, Shakiba, Marjan, and Babaie, Delara

Subjects
Non-celiac gluten sensitivity, Gluten-free diet, nutritional and metabolic diseases, Case Series, Failure to thrive, Growth, digestive system diseases
Abstract

Aim: Herein, we present five children and adolescents with a final diagnosis of non-celiac gluten sensitivity (NCGS). Background: Non-celiac gluten sensitivity (NCGS) is a condition characterized by gastrointestinal and extra-intestinal symptoms triggered by ingestion of gluten-containing compounds, e.g., wheat, rye, and barley, in subjects without celiac disease or wheat allergy. Methods: Demographic characteristics, clinical manifestations, serum biomarkers and skin prick test were evaluated. Patient data was also recorded after they followed a gluten-free diet (GFD). Height and weight were measured, and all patients were examined 6 months after following the suggested GFD. Results: All patients had failure to thrive and abdominal pain. Clinical symptoms were reduced, and significant weight and height gains were detected after 1 month of following a gluten-free diet. Conclusion: The relationship between failure to thrive (FTT) and NCGS is still unknown; hence, NCGS may be one of the main causes of FTT which can be prevented by gluten-free diets.

Published
2021

34. Mortality across the spectrum of hemoglobin level in patients undergoing surgical coronary revascularization.

Author

Khalaji, Amirmohammad, Ajam, Ali, Sheikhy, Ali, Behnoush, Amir Hossein, Fallahzadeh, Aida, Bagheri, Jamshid, Mansourian, Soheil, Momtahen, Shahram, Masoudkabir, Farzad, and Hosseini, Kaveh

Subjects
REVASCULARIZATION (Surgery), CORONARY artery bypass, HOSPITAL mortality, HEMOGLOBINS
Abstract

Background: Preoperative hemoglobin (Hb) level is a predictor of in‐hospital and midterm mortality in patients undergoing coronary artery bypass grafting surgery (CABG). However, the debate about the different hazards across Hb levels and sex differences in outcome occurrence is still on the table. Methods: This is a registry‐based serial cross‐sectional study at Tehran Heart Center. Nonanemic patients who underwent CABG with complete follow‐up data were included. The Restricted Cubic Splines (RCS) in the Cox model was used to calculate the sex‐specific correlation between in‐hospital, 6‐month, and 1‐year mortalities and normal Hb levels using odds ratio for the in‐hospital and hazard ratios for 6‐month and 1‐year mortality, adjusted for all possible confounders. Results: From 2005 to 2016, a total of 13,557 patients were included, of which 134 had in‐hospital mortality as our primary outcome. Preoperative Hb levels were significantly lower in the deceased. Moreover, dead patients had significantly higher rates of diabetes and hypertension, while lower ejection fraction. Cut‐offs for reference Hb level were higher for males compared with females. The correlation between Hb level and in‐hospital mortality was nearly U‐shaped. Quantitatively, Hb of ≥15.62 and ≤13.25 g/dL for men and that of ≥14.92 and ≤13.4 g/dL for women tended to be associated with higher in‐hospital mortality. Conclusions: The association between preoperative Hb level and in‐hospital mortality differs in men and women and does not follow a linear correlation among nonanemic patients. Both low and high numbers in the Hb level spectrum are at greater risk. [ABSTRACT FROM AUTHOR]

Published
2023
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35. Outcome of Percutaneous Coronary Intervention in Old Patients Presenting with Acute Coronary Syndrome.

Author

Fallahzadeh, Aida, Sheikhy, Ali, Aein, Afsaneh, Salarifar, Mojtaba, Pourhosseini, Hamidreza, Aghajani, Hassan, Alidoosti, Mohammad, Sadeghian, Saeed, and Hosseini, Kaveh

Subjects
*TREATMENT of acute coronary syndrome, *STATISTICS, *GLOMERULAR filtration rate, *PERCUTANEOUS coronary intervention, *MAJOR adverse cardiovascular events, *MULTIVARIATE analysis, *REGRESSION analysis, *ANGINA pectoris, *TREATMENT effectiveness, *COMPARATIVE studies, *ST elevation myocardial infarction, *LONGITUDINAL method, *OLD age
Abstract

Background: Octogenarians (age ≥ 80 years) with coronary artery disease constitute a high-risk group and the elderly undergoing percutaneous coronary intervention (PCI) are at higher risk of adverse outcomes compared to young patients. In this study, we aimed to describe the outcomes of the elderly with acute coronary syndrome (ACS) who underwent PCI and also to identify the predictors of short-term major adverse cerebrocardiovascular events (MACCE) in octogenarians. Methods: In this registry-based cohort study, we reviewed the data of patients (aged ≥ 65 years) who underwent PCI. Univariate Cox-regression model was used to assess the univariate effects of covariates on mortality and MACCE and multivariate Cox-regression analysis were used to discover MACCE predictors. Results: We reviewed the data of 3332 patients (2722 elderly [65 to 79 years], and 610 octogenarians [ ≥ 80 years]). The cumulative hazard of MACCE was significantly higher in the octogenarian group compared with the younger group (P < 0.001). MACCE in octogenarians presenting with ST-elevation myocardial infarction (STEMI) was significantly higher than those with non-ST-elevation myocardial infarction/Unstable angina (NSTEMI/UA) (P < 0.001); however, the cumulative hazard of mortality was not significantly different between the two groups (P = 0.270). Successful PCI, left main stenosis and estimated glomerular filtration rate (eGFR) were independent predictors of MACCE in octogenarians with ACS. Conclusion: Octogenarians undergoing PCI had a higher rate of MACCE and mortality compared with a younger population. In octogenarians, MACCE in those with STEMI was significantly higher than those with NSTEMI/UA and the mortality trend was similar; however, the 1-year trend was in favor of the STEMI subgroup. [ABSTRACT FROM AUTHOR]

Published
2022
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36. A Rare Case of Glycogen Storage Disease Type 1a Presenting with Hemophagocytic Lymphohistiocytosis (HLH)

Author

Saneifard, Hedyeh, Shamsian, Bibishahin, Shakiba, Marjan, Karizi Zarea, Simin, and Sheikhy, Ali

Subjects
endocrine system, Article Subject, hemic and lymphatic diseases
Abstract

Background. Hemophagocytic lymphohistiocytosis (HLH) is a life-threatening hyperinflammatory syndrome characterized by fever, respiratory distress, massive hepatomegaly, and bicytopenia. It is classified into primary (congenital) and secondary (acquired) types. There are many diseases associated with secondary HLH, but glycogen storage disease is a novel cause of secondary HLH. Case Presentation. In this case, we present a five-month-old female infant with recurrent fever, poor feeding, pallor, and prolonged diarrhea for two months. With a diagnosis of HLH, the patient was treated with IVIG and prednisolone. After treatment was initiated, the patient’s general condition improved. All metabolic workup was normal. We did whole-exome sequencing that confirmed glycogen storage disease (GSD) type 1. Conclusion. Metabolic diseases are one of the severe causes of secondary HLH in infants; hence, complete metabolic assessment is mandatory in these patients, and GSD must be included in the differential diagnosis of HLH metabolic causes.

Published
2020
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37. National and subnational burden of stroke in Iran from 1990 to 2019.

Author

Fallahzadeh, Aida, Esfahani, Zahra, Sheikhy, Ali, Keykhaei, Mohammad, Moghaddam, Sahar Saeedi, Tehrani, Yeganeh Sharifnejad, Rezaei, Negar, Ghasemi, Erfan, Azadnajafabad, Sina, Mohammadi, Esmaeil, Koolaji, Sogol, Shahin, Sarvenaz, Rezaei, Nazila, Larijani, Bagher, and Farzadfar, Farshad

Subjects
DISEASE risk factors, GLOBAL burden of disease, CEREBRAL hemorrhage, BLOOD sugar, SUBARACHNOID hemorrhage
Abstract

Background: Data on the burden of stroke and changing trends at national and subnational levels are necessary for policymakers to allocate recourses appropriately. This study presents estimates of the stroke burden from 1990 to 2019 using the results of the Global Burden of Disease (GBD) 2019 study. Methods: For the GBD 2019, verbal autopsy and vital registration data were used to estimate stroke mortality. Cause‐specific mortality served as the basis for estimating incidence, prevalence, and disability‐adjusted life years (DALYs). The burden attributable to stroke risk factors was calculated by a comparative risk assessment. Decomposition analysis was applied to determine the contribution of population aging, population growth, and changes in the age‐specific incidence rates. Results: In 2019, the number of prevalent cases, incident cases, and deaths due to stroke in Iran were 963,512; 102,778; and 40,912, respectively. The age‐standardized incidence rate (ASIR) and the age‐standardized death rate (ASDR) decreased from 1990 to 2019. Of national stroke ASDRs in 2019, 44.7% (35.7–54.7%) were attributable to hypertension and 28.8% (15.2–57.4) to high fasting plasma glucose. At the subnational level, the trend of the stroke incidence and mortality rate decreased in all provinces. Stroke was responsible for 4.48% of total DALYs in 2019 (3.38% due to ischemic stroke, 0.87% due to intracerebral hemorrhage, and 0.22% due to subarachnoid hemorrhage). Conclusion: ASIR and ASDR of stroke are decreasing nationally and subnationally; however, the number of incident cases and deaths are increasing in all SDI quintiles, possibly due to population growth. [ABSTRACT FROM AUTHOR]

Published
2022
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38. Benefits of metformin add-on insulin therapy (MAIT) for HbA1c and lipid profile in adolescents with type 1 diabetes mellitus: preliminary report from a double-blinded, placebo-controlled, randomized clinical trial.

Author

Sheikhy, Ali, Eydian, Zahra, Fallahzadeh, Aida, Shakiba, Marjan, Hajipour, Mahmoud, Alaei, Mohammadreza, Mosallanejad, Asieh, and Saneifard, Hedyeh

Abstract

Metabolic control during puberty is impaired in Type 1 Diabetes Mellitus (T1DM) patients due to increased insulin resistance. Metformin is one of the oral medications typically used in type 2 diabetes mellitus to reduce insulin resistance. We aimed to examine the effect of metformin on glycemic indices and insulin daily dosage in adolescents with T1DM. The present clinical trial was carried out on 50 adolescents aged 10–20 years with T1DM referred to the Endocrinology Clinic of Mofid Children's Hospital in Tehran for nine months. The patients were randomly divided into two groups. In the first group, metformin was added to insulin therapy, while the second group continued routine insulin therapy combined with placebo. Hemoglobin A1c (HbA1c), weight, BMI, insulin dosage, and blood pressure were measured at the beginning of the study and repeated every three months. Serum lipid profile, creatinine, blood urea nitrogen, and liver enzymes were also measured twice: At the beginning and end of the study (after nine months). The HbA1c level (p<0.001) and insulin dosage (p=0.04) were lower in the metformin group than in the placebo group after nine months. Daily insulin dosage variability was significantly lower in the metformin recipient group (p=0.041). Serum triglyceride, cholesterol, and creatinine were significantly lower in the metformin arm than in the placebo arm (p<0.05). However, metformin did not affect LDL, HDL, liver enzymes, and BUN. Adjunctive metformin therapy reduces insulin dosage by inhibiting insulin resistance and weight gain. It helps decrease daily insulin dosage variability, which may prevent hypoglycemia. Also, metformin reduces creatinine, preventing renal failure in the long term. [ABSTRACT FROM AUTHOR]

Published
2022
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40. Evaluation of clinical status, diagnosis, treatment and radiological findings of pulmonary hydatid cyst: 5-years' experience at tertiary lung center.

Author

Sheikhy, Kambiz, Rouhani, Ramin, Pejhan, Saviz, Motlagh, Alireza Sanei, and Sheikhy, Ali

Subjects
ECHINOCOCCOSIS, LUNG diseases, TREATMENT effectiveness, SURGICAL complications, THORACOTOMY
Abstract

Background: Hydatidosis is one of the most critical worldwide parasitic zoonotic diseases. The lung is the second most common site of hydatidosis. This study aimed to evaluate the clinical status, diagnosis, treatment, and radiological findings of pulmonary hydatid cyst in patients referred to tertiary lung center. Methods: From April 2014 to July 2019, patients referred to Masih Daneshvari University Medical Center with the impression of alveolar hydatidosis included. Demographic data of 304 patients were collected including clinical symptoms, laboratory studies, radiological findings, location of the lung involvement, and cyst characteristics. Also, surgical procedures, medical treatments, and post-operative complications were recorded. Results: Pulmonary hydatidosis was confirmed for 234 patients. 55% of patients were males with the mean age of 45.1±16.6 years. The most common symptoms were cough (59.8%), dyspnea (31.1%), and hemoptysis (26%). Left lung, right lung, and bilateral involvement were reported in 40.1%, 55.1%, and 4.8% of cases, respectively. Cyst perforation (39.8%) was the most common intra-operative finding. Surgical interventions included thoracotomy, rigid bronchoscopy, cyst aspiration, and enucleation. The liver was the most concomitant organ involved due to pulmonary hydatidosis (16.6%). The most common postoperative complication was atelectasis, with the rate of 35.7%. 52.2% of patients were discharged within 10 days after surgery. No mortality was reported. Conclusion: Sometimes atypical findings in different imaging modalities make the hydatid cyst diagnosis challenging. Although lobe involvement more than 50% has the indication for lobectomy, we conserved lobes with about 70% involvement in our institution, and patients had no postoperative complications. [ABSTRACT FROM AUTHOR]

Published
2022
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41. 3‐Hydroxyisobutyryl‐CoA hydrolase deficiency in an infant with developmental delay and high anion gap acidosis.

Author

Saneifard, Hedyeh, Mosallanejad, Asieh, Fallahzadeh, Aida, and Sheikhy, Ali

Subjects
DEVELOPMENTAL delay, INFANTS, ACIDOSIS, CONSANGUINITY, ACID-base imbalances, SYMPTOMS
Abstract

Due to the rarity of this disorder, paying attention to diagnostic clues is important. Low valine formula seems to be effective in improvement of patient's symptoms. Prevention of consanguineous marriage is the best way to prevent this disease. [ABSTRACT FROM AUTHOR]

Published
2021
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42. Intrapericardial solitary fibrous tumor: A case report and review of literature.

Author

Sheikhy, Ali, Fallahzadeh, Aida, Ahmadi‐Tafti, Seyed Hossein, Hosseini, Kaveh, Mohseni‐Badalabadi, Reza, Shahbazi, Narges, Ghorashi, Seyyed Mojtaba, and Tajdini, Masih

Subjects
*ECHOCARDIOGRAPHY, *HEART tumors, *CARDIAC surgery, *MESENCHYME tumors, *PERICARDIUM, *DYSPNEA, *CALCINOSIS, *COMPUTED tomography, *HISTOLOGY, *EDEMA
Abstract

Solitary fibrous tumor (SFT) is a mesenchymal neoplasm mostly originates from pleura, but rarely from other parts of the body including pericardium. We report a case of a 44‐year‐old woman with dyspnea and intermittent edema in whom a large intrapericardial mass was discovered by echocardiography. Computed tomography (CT) revealed a focal pericardial calcification in right AV grove with pressure on right ventricle and right atrial, with no connection to cardiac chambers. Histopathological findings after complete resection of the mass revealed fibroconnective tissue with heavy calcification and no evidence of inflammation or malignancy. We reviewed the literature on pericardial solitary fibrous tumors up to 2020. [ABSTRACT FROM AUTHOR]

Published
2021
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43. Vitamin D Deficiency in Children and Adolescents: Role of Puberty and Obesity on Vitamin D Status.

Author

Saneifard, Hedyeh, Shakiba, Marjan, Sheikhy, Ali, Baniadam, Leila, Abdollah Gorji, Fatemeh, and Fallahzadeh, Aida

Subjects
VITAMIN D deficiency, OVERWEIGHT children, VITAMIN D, PUBERTY, TEENAGERS, AGE groups
Abstract

Background: Vitamin D deficiency is common among children and adolescents and can be affected by several factors such as puberty and obesity. Objective: The aim of this study was to evaluate vitamin D status in children and adolescents and to analyse the influence of puberty and obesity on its level. Method: A cross-sectional study was carried-out, in which clinical and biochemical data were gathered from 384 healthy children and adolescents between May 2019 to May 2020. Results: 220 females and 164 males were enrolled (aged 7-16 years; mean ± SD: 11 ± 2.5). Vitamin D deficiency was found in 49% of the total cases and was significantly more prevalent in females than males (33.1% in female; 15.9% in male, P <.001). Mean vitamin D level was lower in obese children compared with non-obese (P <.001). Non-obese group had significantly higher levels of vitamin D in Tanner stage IV of puberty than obese individuals (20.1 ± 17.0 vs 5.4 ± 2.0) (P =.03). Vitamin D levels were significantly lower in females than males only in Tanner stage II (12.3 ± 9.0 vs 19.6 ± 16.6) (P =.005). The lowest level of Vitamin D was in Tanner stage Ⅳ-Ⅴ in boys and in Tanner stage Ⅱ-Ⅲ in girls (P <.001). Conclusion: Puberty is an additional risk factor for vitamin D deficiency especially in girls and obese children. This increased risk, together with the fact that most important time for building a proper skeleton is during childhood and adolescent, makes it essential to monitor vitamin D in these age groups. [ABSTRACT FROM AUTHOR]

Published
2021
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44. Sporadic Insulinoma as a Rare Cause of Recurrent Hypoglycemia in Children

Author

Saneifard, Hedyeh, Khaleghnejad Tabari, Ahmad, Kazemi Aghdam, Maryam, Musavi Khorshidi, Mohadese, and Sheikhy, Ali

Subjects
endocrine system, endocrine system diseases, Article Subject
Abstract

Insulinoma is a rare pancreatic tumor in children and adolescents. As a result of insulin hypersecretion, signs and symptoms are more commonly consequences of the pathophysiologic responses to hypoglycemia. According to rarity of this tumor in children and nonspecificity of clinical presentations, diagnosis of insulinoma in this group of patients is usually delayed. Early diagnosis is very important for preventing neurologic damage. In this case report, we present the case of a 10-year-old boy with signs and symptoms of hypoglycemia and final diagnosis of insulinoma.

Published
2017
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46. Thoracotomy for Extracting Grass Inflorescence Aspiration: a Case Report.

Author

Saneifard, Hedyeh, Sheikhy, Kambiz, and Sheikhy, Ali

Subjects
INFLORESCENCES, THORACOTOMY, GRASSES, LUNGS, FOREIGN bodies, LIVER abscesses, BRONCHIECTASIS
Abstract

Following aspiration of grass inflorescence, it often migrates to the peripheral part of the airway due to its unique shape. It often causes complications like chronic pneumonia, recurrent asthmatic attacks, lung abscess, recurrent hemoptysis, and bronchiectasis that may necessitate surgical intervention. In this case, we have reported a 13-year-old boy with grass inflorescence aspiration. The bronchoscopic procedure failed to remove the foreign body, so he underwent thoracotomy. [ABSTRACT FROM AUTHOR]

Published
2021

47. An Analytical Approach in Dynamic Calibration of Strain Gauge Balances for Aerodynamic Measurements.

Author

Bighashdel, A., Zare, H., Pourtakdoust, Seid H., and Sheikhy, Ali A.

Abstract

Strain gauge balances (SGBs) are efficient and accurate means of static force measurement. However, due to their inherent elastic characteristics, they lack desired performance when used in dynamic loading conditions. In this paper, a novel technique is presented that remedies their inherent weakness in measuring dynamic periodic forces. The proposed method produces a correction factor to compensate the measured loading in dynamic situations. For this purpose, first an analytical investigation is performed to determine the structural dynamic behavior of a typical SGB system via the modal approach. This analytical investigation leads to identification of the structural interference effects that occurs on the SGB output in dynamic scenarios and renders the desired validated dynamic correction factor for periodic loading correction. The proposed methodology allows for extraction of the true SGB signal and/or loading out of the complex erroneous SGB output. As a case study, a periodic loading is measured via two different balances and the results are compared with and without taking into account the correction factor. The result of this investigation demonstrates that the introduced correction factor plays a crucial role in dynamic force estimation, especially when the loading frequency approaches the natural frequencies of the balancing system structure. [ABSTRACT FROM PUBLISHER]

Published
2018
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48. Global mortality associated with 33 bacterial pathogens in 2019

Author

Kevin S Ikuta, Lucien R Swetschinski, Gisela Robles Aguilar, Fablina Sharara, Tomislav Mestrovic, Authia P Gray, Nicole Davis Weaver, Eve E Wool, Chieh Han, Anna Gershberg Hayoon, Amirali Aali, Semagn Mekonnen Abate, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Sherief Abd-Elsalam, Getachew Abebe, Aidin Abedi, Amir Parsa Abhari, Hassan Abidi, Richard Gyan Aboagye, Abdorrahim Absalan, Hiwa Abubaker Ali, Juan Manuel Acuna, Tigist Demssew Adane, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Zahra Babaei Aghdam, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Ali Ahmed, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Marjan Ajami, Budi Aji, Mostafa Akbarzadeh-Khiavi, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Fares Alahdab, Ziyad Al-Aly, Mamoon A Aldeyab, Alicia V Aleman, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Atiyeh Alizadeh, Syed Mohamed Aljunid, Kasim Allel, Sami Almustanyir, Edward Kwabena Ameyaw, Arianna Maever L Amit, Nivedita Anandavelane, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Dewi Anggraini, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Aleksandr Y Aravkin, Demelash Areda, Timur Aripov, Anton A Artamonov, Judie Arulappan, Raphael Taiwo Aruleba, Muhammad Asaduzzaman, Tahira Ashraf, Seyyed Shamsadin Athari, Daniel Atlaw, Sameh Attia, Marcel Ausloos, Tewachew Awoke, Beatriz Paulina Ayala Quintanilla, Tegegn Mulatu Ayana, Sina Azadnajafabad, Amirhossein Azari Jafari, Darshan B B, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Sara Bagherieh, Atif Amin Baig, Indrajit Banerjee, Aleksandra Barac, Mainak Bardhan, Francesco Barone-Adesi, Hiba Jawdat Barqawi, Amadou Barrow, Pritish Baskaran, Saurav Basu, Abdul-Monim Mohammad Batiha, Neeraj Bedi, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Rose G Bender, Bharti Bhandari, Dinesh Bhandari, Pankaj Bhardwaj, Sonu Bhaskar, Krittika Bhattacharyya, Suraj Bhattarai, Saeid Bitaraf, Danilo Buonsenso, Zahid A Butt, Florentino Luciano Caetano dos Santos, Jiao Cai, Daniela Calina, Paulo Camargos, Luis Alberto Cámera, Rosario Cárdenas, Muge Cevik, Joshua Chadwick, Jaykaran Charan, Akhilanand Chaurasia, Patrick R Ching, Sonali Gajanan Choudhari, Enayet Karim Chowdhury, Fazle Rabbi Chowdhury, Dinh-Toi Chu, Isaac Sunday Chukwu, Omid Dadras, Fentaw Teshome Dagnaw, Xiaochen Dai, Saswati Das, Anna Dastiridou, Sisay Abebe Debela, Fitsum Wolde Demisse, Solomon Demissie, Diriba Dereje, Msganaw Derese, Hardik Dineshbhai Desai, Fikadu Nugusu Dessalegn, Samuel Abebe A Dessalegni, Belay Desye, Kartik Dhaduk, Meghnath Dhimal, Sameer Dhingra, Nancy Diao, Daniel Diaz, Shirin Djalalinia, Milad Dodangeh, Deepa Dongarwar, Bezabih Terefe Dora, Fariba Dorostkar, Haneil Larson Dsouza, Eleonora Dubljanin, Susanna J Dunachie, Oyewole Christopher Durojaiye, Hisham Atan Edinur, Habtamu Bekele Ejigu, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Hassan El-Abid, Muhammed Elhadi, Mohamed A Elmonem, Amir Emami, Luchuo Engelbert Bain, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Babak Eshrati, Farshid Etaee, Adeniyi Francis Fagbamigbe, Shahab Falahi, Aida Fallahzadeh, Emerito Jose A Faraon, Ali Fatehizadeh, Ginenus Fekadu, João C Fernandes, Allegra Ferrari, Getahun Fetensa, Irina Filip, Florian Fischer, Masoud Foroutan, Peter Andras Gaal, Muktar A Gadanya, Abhay Motiramji Gaidhane, Balasankar Ganesan, Mesfin Gebrehiwot, Reza Ghanbari, Mohammad Ghasemi Nour, Ahmad Ghashghaee, Ali Gholamrezanezhad, Abdolmajid Gholizadeh, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Amador Goodridge, Damitha Asanga Gunawardane, Yuming Guo, Rajat Das Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Alemu Guta, Parham Habibzadeh, Atlas Haddadi Avval, Rabih Halwani, Asif Hanif, Md. Abdul Hannan, Harapan Harapan, Shoaib Hassan, Hadi Hassankhani, Khezar Hayat, Behzad Heibati, Golnaz Heidari, Mohammad Heidari, Reza Heidari-Soureshjani, Claudiu Herteliu, Demisu Zenbaba Heyi, Kamal Hezam, Praveen Hoogar, Nobuyuki Horita, Md Mahbub Hossain, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Soodabeh Hoveidamanesh, Junjie Huang, Salman Hussain, Nawfal R Hussein, Segun Emmanuel Ibitoye, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mohammad Tarique Imam, Mustapha Immurana, Leeberk Raja Inbaraj, Arnaud Iradukunda, Nahlah Elkudssiah Ismail, Chidozie C D Iwu, Chinwe Juliana Iwu, Linda Merin J, Mihajlo Jakovljevic, Elham Jamshidi, Tahereh Javaheri, Fatemeh Javanmardi, Javad Javidnia, Sathish Kumar Jayapal, Umesh Jayarajah, Rime Jebai, Ravi Prakash Jha, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Laleh R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Himal Kandel, Neeti Kapoor, Samad Karkhah, Bekalu Getnet Kassa, Nicholas J Kassebaum, Patrick DMC Katoto, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Imteyaz A Khan, Maseer Khan, Md Nuruzzaman Khan, Moien AB Khan, Moawiah Mohammad Khatatbeh, Mona M Khater, Hamid Reza Khayat Kashani, Jagdish Khubchandani, Hanna Kim, Min Seo Kim, Ruth W Kimokoti, Niranjan Kissoon, Sonali Kochhar, Farzad Kompani, Soewarta Kosen, Parvaiz A Koul, Sindhura Lakshmi Koulmane Laxminarayana, Fiorella Krapp Lopez, Kewal Krishan, Vijay Krishnamoorthy, Vishnutheertha Kulkarni, Naveen Kumar, Om P Kurmi, Ambily Kuttikkattu, Hmwe Hmwe Kyu, Dharmesh Kumar Lal, Judit Lám, Iván Landires, Savita Lasrado, Sang-woong Lee, Jacopo Lenzi, Sonia Lewycka, Shanshan Li, Stephen S Lim, Wei Liu, Rakesh Lodha, Michael J Loftus, Ayush Lohiya, László Lorenzovici, Mojgan Lotfi, Ata Mahmoodpoor, Mansour Adam Mahmoud, Razzagh Mahmoudi, Azeem Majeed, Jamal Majidpoor, Alaa Makki, Galana Ayana Mamo, Yosef Manla, Miquel Martorell, Clara N Matei, Barney McManigal, Entezar Mehrabi Nasab, Ravi Mehrotra, Addisu Melese, Oliver Mendoza-Cano, Ritesh G Menezes, Alexios-Fotios A Mentis, Georgia Micha, Irmina Maria Michalek, Ana Carolina Micheletti Gomide Nogueira de Sá, Neda Milevska Kostova, Shabir Ahmad Mir, Mojgan Mirghafourvand, Seyyedmohammadsadeq Mirmoeeni, Erkin M Mirrakhimov, Mohammad Mirza-Aghazadeh-Attari, Abay Sisay Misganaw, Awoke Misganaw, Sanjeev Misra, Esmaeil Mohammadi, Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Ali H Mokdad, Sara Momtazmanesh, Lorenzo Monasta, Catrin E Moore, Maryam Moradi, Mostafa Moradi Sarabi, Shane Douglas Morrison, Majid Motaghinejad, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Seyed Ali Mousavi-Aghdas, Sumaira Mubarik, Francesk Mulita, Getaneh Baye B Mulu, Sandra B Munro, Saravanan Muthupandian, Tapas Sadasivan Nair, Atta Abbas Naqvi, Himanshi Narang, Zuhair S Natto, Muhammad Naveed, Biswa Prakash Nayak, Shumaila Naz, Ionut Negoi, Seyed Aria Nejadghaderi, Sandhya Neupane Kandel, Che Henry Ngwa, Robina Khan Niazi, Antonio Tolentino Nogueira de Sá, Nafise Noroozi, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Jerry John Nutor, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Rahman Md Obaidur, Vivek Anand Ojha, Akinkunmi Paul Okekunle, Osaretin Christabel Okonji, Andrew T Olagunju, Bolajoko Olubukunola Olusanya, Ahmed Omar Bali, Emad Omer, Nikita Otstavnov, Bilcha Oumer, Mahesh P A, Jagadish Rao Padubidri, Keyvan Pakshir, Tamás Palicz, Adrian Pana, Shahina Pardhan, Jose L Paredes, Utsav Parekh, Eun-Cheol Park, Seoyeon Park, Ashish Pathak, Rajan Paudel, Uttam Paudel, Shrikant Pawar, Hamidreza Pazoki Toroudi, Minjin Peng, Umberto Pensato, Veincent Christian Filipino Pepito, Marcos Pereira, Mario F P Peres, Norberto Perico, Ionela-Roxana Petcu, Zahra Zahid Piracha, Indrashis Podder, Nayanum Pokhrel, Ramesh Poluru, Maarten J Postma, Naeimeh Pourtaheri, Akila Prashant, Ibrahim Qattea, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Saber Raeghi, Sima Rafiei, Pankaja Raghav Raghav, Leila Rahbarnia, Vafa Rahimi-Movaghar, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Pradhum Ram, Muhammad Modassar Ali Nawaz Ranjha, Sowmya J Rao, Mohammad-Mahdi Rashidi, Azad Rasul, Zubair Ahmed Ratan, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Elrashdy Moustafa Mohamed Redwan, Misganu Teshoma Regasa, Giuseppe Remuzzi, Melese Abate Reta, Nazila Rezaei, Aziz Rezapour, Abanoub Riad, Rezaul Karim Ripon, Kristina E Rudd, Basema Saddik, Saeid Sadeghian, Umar Saeed, Mohsen Safaei, Azam Safary, Sher Zaman Safi, Maryam Sahebazzamani, Amirhossein Sahebkar, Harihar Sahoo, Saina Salahi, Sarvenaz Salahi, Hedayat Salari, Sana Salehi, Hossein Samadi Kafil, Abdallah M Samy, Nima Sanadgol, Senthilkumar Sankararaman, Francesco Sanmarchi, Brijesh Sathian, Monika Sawhney, Ganesh Kumar Saya, Subramanian Senthilkumaran, Allen Seylani, Pritik A Shah, Masood Ali Shaikh, Elaheh Shaker, Murad Ziyaudinovich Shakhmardanov, Mequannent Melaku Sharew, Athena Sharifi-Razavi, Purva Sharma, Rahim Ali Sheikhi, Ali Sheikhy, Pavanchand H Shetty, Mika Shigematsu, Jae Il Shin, Hesamaddin Shirzad-Aski, K M Shivakumar, Parnian Shobeiri, Seyed Afshin Shorofi, Sunil Shrestha, Migbar Mekonnen Sibhat, Negussie Boti Sidemo, Mustafa Kamal Sikder, Luís Manuel Lopes Rodrigues Silva, Jasvinder A Singh, Paramdeep Singh, Surjit Singh, Md Shahjahan Siraj, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Damtew Damtew Solomon, Yimeng Song, Chandrashekhar T Sreeramareddy, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Saima Sultana, Miklós Szócska, Seyed-Amir Tabatabaeizadeh, Mohammad Tabish, Majid Taheri, Elahe Taki, Ker-Kan Tan, Sarmila Tandukar, Nathan Y Tat, Vivian Y Tat, Belay Negash Tefera, Yibekal Manaye Tefera, Gebremaryam Temesgen, Mohamad-Hani Temsah, Samar Tharwat, Arulmani Thiyagarajan, Imad I Tleyjeh, Christopher E Troeger, Krishna Kishore Umapathi, Era Upadhyay, Sahel Valadan Tahbaz, Pascual R Valdez, Jef Van den Eynde, H. Rogier van Doorn, Siavash Vaziri, Georgios-Ioannis Verras, Harimadhav Viswanathan, Bay Vo, Abdul Waris, Gizachew Tadesse Wassie, Nuwan Darshana Wickramasinghe, Sajad Yaghoubi, Gahin Abdulraheem Tayib Yahya Yahya, Seyed Hossein Yahyazadeh Jabbari, Arzu Yigit, Vahit Yiğit, Dong Keon Yon, Naohiro Yonemoto, Mazyar Zahir, Burhan Abdullah Zaman, Sojib Bin Zaman, Moein Zangiabadian, Iman Zare, Mikhail Sergeevich Zastrozhin, Zhi-Jiang Zhang, Peng Zheng, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Simon I Hay, Christiane Dolecek, Benn Sartorius, Christopher J L Murray, Mohsen Naghavi, Ikuta, Kevin S, Swetschinski, Lucien R, Robles Aguilar, Gisela, Sharara, Fablina, Mestrovic, Tomislav, Gray, Authia P, Davis Weaver, Nicole, Wool, Eve E, Han, Chieh, Gershberg Hayoon, Anna, Aali, Amirali, Abate, Semagn Mekonnen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abd-Elsalam, Sherief, Abebe, Getachew, Abedi, Aidin, Abhari, Amir Parsa, Abidi, Hassan, Aboagye, Richard Gyan, Absalan, Abdorrahim, Abubaker Ali, Hiwa, Acuna, Juan Manuel, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Afzal, Saira, Aghdam, Zahra Babaei, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Ali, Ahmed, Haroon, Ahmed, Jivan Qasim, Ahmed Rashid, Tarik, Ajami, Marjan, Aji, Budi, Akbarzadeh-Khiavi, Mostafa, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fare, Al-Aly, Ziyad, Aldeyab, Mamoon A, Aleman, Alicia V, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Alizadeh, Atiyeh, Aljunid, Syed Mohamed, Allel, Kasim, Almustanyir, Sami, Ameyaw, Edward Kwabena, Amit, Arianna Maever L, Anandavelane, Nivedita, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anggraini, Dewi, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Areda, Demelash, Aripov, Timur, Artamonov, Anton A, Arulappan, Judie, Aruleba, Raphael Taiwo, Asaduzzaman, Muhammad, Ashraf, Tahira, Athari, Seyyed Shamsadin, Atlaw, Daniel, Attia, Sameh, Ausloos, Marcel, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Azadnajafabad, Sina, Azari Jafari, Amirhossein, B, Darshan B, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagherieh, Sara, Baig, Atif Amin, Banerjee, Indrajit, Barac, Aleksandra, Bardhan, Mainak, Barone-Adesi, Francesco, Barqawi, Hiba Jawdat, Barrow, Amadou, Baskaran, Pritish, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Bedi, Neeraj, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bender, Rose G, Bhandari, Bharti, Bhandari, Dinesh, Bhardwaj, Pankaj, Bhaskar, Sonu, Bhattacharyya, Krittika, Bhattarai, Suraj, Bitaraf, Saeid, Buonsenso, Danilo, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Jiao, Calina, Daniela, Camargos, Paulo, Cámera, Luis Alberto, Cárdenas, Rosario, Cevik, Muge, Chadwick, Joshua, Charan, Jaykaran, Chaurasia, Akhilanand, Ching, Patrick R, Choudhari, Sonali Gajanan, Chowdhury, Enayet Karim, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Dadras, Omid, Dagnaw, Fentaw Teshome, Dai, Xiaochen, Das, Saswati, Dastiridou, Anna, Debela, Sisay Abebe, Demisse, Fitsum Wolde, Demissie, Solomon, Dereje, Diriba, Derese, Msganaw, Desai, Hardik Dineshbhai, Dessalegn, Fikadu Nugusu, Dessalegni, Samuel Abebe A, Desye, Belay, Dhaduk, Kartik, Dhimal, Meghnath, Dhingra, Sameer, Diao, Nancy, Diaz, Daniel, Djalalinia, Shirin, Dodangeh, Milad, Dongarwar, Deepa, Dora, Bezabih Terefe, Dorostkar, Fariba, Dsouza, Haneil Larson, Dubljanin, Eleonora, Dunachie, Susanna J, Durojaiye, Oyewole Christopher, Edinur, Hisham Atan, Ejigu, Habtamu Bekele, Ekholuenetale, Michael, Ekundayo, Temitope Cyru, El-Abid, Hassan, Elhadi, Muhammed, Elmonem, Mohamed A, Emami, Amir, Engelbert Bain, Luchuo, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eshrati, Babak, Etaee, Farshid, Fagbamigbe, Adeniyi Franci, Falahi, Shahab, Fallahzadeh, Aida, Faraon, Emerito Jose A, Fatehizadeh, Ali, Fekadu, Ginenu, Fernandes, João C, Ferrari, Allegra, Fetensa, Getahun, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Gaal, Peter Andra, Gadanya, Muktar A, Gaidhane, Abhay Motiramji, Ganesan, Balasankar, Gebrehiwot, Mesfin, Ghanbari, Reza, Ghasemi Nour, Mohammad, Ghashghaee, Ahmad, Gholamrezanezhad, Ali, Gholizadeh, Abdolmajid, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Goodridge, Amador, Gunawardane, Damitha Asanga, Guo, Yuming, Gupta, Rajat Da, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Guta, Alemu, Habibzadeh, Parham, Haddadi Avval, Atla, Halwani, Rabih, Hanif, Asif, Hannan, Md. Abdul, Harapan, Harapan, Hassan, Shoaib, Hassankhani, Hadi, Hayat, Khezar, Heibati, Behzad, Heidari, Golnaz, Heidari, Mohammad, Heidari-Soureshjani, Reza, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Hoogar, Praveen, Horita, Nobuyuki, Hossain, Md Mahbub, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Hoveidamanesh, Soodabeh, Huang, Junjie, Hussain, Salman, Hussein, Nawfal R, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imam, Mohammad Tarique, Immurana, Mustapha, Inbaraj, Leeberk Raja, Iradukunda, Arnaud, Ismail, Nahlah Elkudssiah, Iwu, Chidozie C D, Iwu, Chinwe Juliana, J, Linda Merin, Jakovljevic, Mihajlo, Jamshidi, Elham, Javaheri, Tahereh, Javanmardi, Fatemeh, Javidnia, Javad, Jayapal, Sathish Kumar, Jayarajah, Umesh, Jebai, Rime, Jha, Ravi Prakash, Joo, Tama, Joseph, Nitin, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Kacimi, Salah Eddine Oussama, Kadashetti, Vidya, Kalankesh, Laleh R, Kalhor, Rohollah, Kamal, Vineet Kumar, Kandel, Himal, Kapoor, Neeti, Karkhah, Samad, Kassa, Bekalu Getnet, Kassebaum, Nicholas J, Katoto, Patrick DMC, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Abba, Khan, Imteyaz A, Khan, Maseer, Khan, Md Nuruzzaman, Khan, Moien AB, Khatatbeh, Moawiah Mohammad, Khater, Mona M, Khayat Kashani, Hamid Reza, Khubchandani, Jagdish, Kim, Hanna, Kim, Min Seo, Kimokoti, Ruth W, Kissoon, Niranjan, Kochhar, Sonali, Kompani, Farzad, Kosen, Soewarta, Koul, Parvaiz A, Koulmane Laxminarayana, Sindhura Lakshmi, Krapp Lopez, Fiorella, Krishan, Kewal, Krishnamoorthy, Vijay, Kulkarni, Vishnutheertha, Kumar, Naveen, Kurmi, Om P, Kuttikkattu, Ambily, Kyu, Hmwe Hmwe, Lal, Dharmesh Kumar, Lám, Judit, Landires, Iván, Lasrado, Savita, Lee, Sang-woong, Lenzi, Jacopo, Lewycka, Sonia, Li, Shanshan, Lim, Stephen S, Liu, Wei, Lodha, Rakesh, Loftus, Michael J, Lohiya, Ayush, Lorenzovici, László, Lotfi, Mojgan, Mahmoodpoor, Ata, Mahmoud, Mansour Adam, Mahmoudi, Razzagh, Majeed, Azeem, Majidpoor, Jamal, Makki, Alaa, Mamo, Galana Ayana, Manla, Yosef, Martorell, Miquel, Matei, Clara N, McManigal, Barney, Mehrabi Nasab, Entezar, Mehrotra, Ravi, Melese, Addisu, Mendoza-Cano, Oliver, Menezes, Ritesh G, Mentis, Alexios-Fotios A, Micha, Georgia, Michalek, Irmina Maria, Micheletti Gomide Nogueira de Sá, Ana Carolina, Milevska Kostova, Neda, Mir, Shabir Ahmad, Mirghafourvand, Mojgan, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Mirza-Aghazadeh-Attari, Mohammad, Misganaw, Abay Sisay, Misganaw, Awoke, Misra, Sanjeev, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadian-Hafshejani, Abdollah, Mohammed, Shafiu, Mohan, Syam, Mohseni, Mohammad, Mokdad, Ali H, Momtazmanesh, Sara, Monasta, Lorenzo, Moore, Catrin E, Moradi, Maryam, Moradi Sarabi, Mostafa, Morrison, Shane Dougla, Motaghinejad, Majid, Mousavi Isfahani, Haleh, Mousavi Khaneghah, Amin, Mousavi-Aghdas, Seyed Ali, Mubarik, Sumaira, Mulita, Francesk, Mulu, Getaneh Baye B, Munro, Sandra B, Muthupandian, Saravanan, Nair, Tapas Sadasivan, Naqvi, Atta Abba, Narang, Himanshi, Natto, Zuhair S, Naveed, Muhammad, Nayak, Biswa Prakash, Naz, Shumaila, Negoi, Ionut, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Ngwa, Che Henry, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Noroozi, Nafise, Nouraei, Hasti, Nowroozi, Ali, Nuñez-Samudio, Virginia, Nutor, Jerry John, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Ojha, Vivek Anand, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T, Olusanya, Bolajoko Olubukunola, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Nikita, Oumer, Bilcha, P A, Mahesh, Padubidri, Jagadish Rao, Pakshir, Keyvan, Palicz, Tamá, Pana, Adrian, Pardhan, Shahina, Paredes, Jose L, Parekh, Utsav, Park, Eun-Cheol, Park, Seoyeon, Pathak, Ashish, Paudel, Rajan, Paudel, Uttam, Pawar, Shrikant, Pazoki Toroudi, Hamidreza, Peng, Minjin, Pensato, Umberto, Pepito, Veincent Christian Filipino, Pereira, Marco, Peres, Mario F P, Perico, Norberto, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Podder, Indrashi, Pokhrel, Nayanum, Poluru, Ramesh, Postma, Maarten J, Pourtaheri, Naeimeh, Prashant, Akila, Qattea, Ibrahim, Rabiee, Mohammad, Rabiee, Navid, Radfar, Amir, Raeghi, Saber, Rafiei, Sima, Raghav, Pankaja Raghav, Rahbarnia, Leila, Rahimi-Movaghar, Vafa, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmanian, Vahid, Ram, Pradhum, Ranjha, Muhammad Modassar Ali Nawaz, Rao, Sowmya J, Rashidi, Mohammad-Mahdi, Rasul, Azad, Ratan, Zubair Ahmed, Rawaf, Salman, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Redwan, Elrashdy Moustafa Mohamed, Regasa, Misganu Teshoma, Remuzzi, Giuseppe, Reta, Melese Abate, Rezaei, Nazila, Rezapour, Aziz, Riad, Abanoub, Ripon, Rezaul Karim, Rudd, Kristina E, Saddik, Basema, Sadeghian, Saeid, Saeed, Umar, Safaei, Mohsen, Safary, Azam, Safi, Sher Zaman, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Salahi, Saina, Salahi, Sarvenaz, Salari, Hedayat, Salehi, Sana, Samadi Kafil, Hossein, Samy, Abdallah M, Sanadgol, Nima, Sankararaman, Senthilkumar, Sanmarchi, Francesco, Sathian, Brijesh, Sawhney, Monika, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shah, Pritik A, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Sharew, Mequannent Melaku, Sharifi-Razavi, Athena, Sharma, Purva, Sheikhi, Rahim Ali, Sheikhy, Ali, Shetty, Pavanchand H, Shigematsu, Mika, Shin, Jae Il, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shobeiri, Parnian, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Sidemo, Negussie Boti, Sikder, Mustafa Kamal, Silva, Luís Manuel Lopes Rodrigue, Singh, Jasvinder A, Singh, Paramdeep, Singh, Surjit, Siraj, Md Shahjahan, Siwal, Samarjeet Singh, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Socea, Bogdan, Solomon, Damtew Damtew, Song, Yimeng, Sreeramareddy, Chandrashekhar T, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Saima, Szócska, Mikló, Tabatabaeizadeh, Seyed-Amir, Tabish, Mohammad, Taheri, Majid, Taki, Elahe, Tan, Ker-Kan, Tandukar, Sarmila, Tat, Nathan Y, Tat, Vivian Y, Tefera, Belay Negash, Tefera, Yibekal Manaye, Temesgen, Gebremaryam, Temsah, Mohamad-Hani, Tharwat, Samar, Thiyagarajan, Arulmani, Tleyjeh, Imad I, Troeger, Christopher E, Umapathi, Krishna Kishore, Upadhyay, Era, Valadan Tahbaz, Sahel, Valdez, Pascual R, Van den Eynde, Jef, van Doorn, H. Rogier, Vaziri, Siavash, Verras, Georgios-Ioanni, Viswanathan, Harimadhav, Vo, Bay, Waris, Abdul, Wassie, Gizachew Tadesse, Wickramasinghe, Nuwan Darshana, Yaghoubi, Sajad, Yahya, Gahin Abdulraheem Tayib Yahya, Yahyazadeh Jabbari, Seyed Hossein, Yigit, Arzu, Yiğit, Vahit, Yon, Dong Keon, Yonemoto, Naohiro, Zahir, Mazyar, Zaman, Burhan Abdullah, Zaman, Sojib Bin, Zangiabadian, Moein, Zare, Iman, Zastrozhin, Mikhail Sergeevich, Zhang, Zhi-Jiang, Zheng, Peng, Zhong, Chenwen, Zoladl, Mohammad, Zumla, Alimuddin, Hay, Simon I, Dolecek, Christiane, Sartorius, Benn, Murray, Christopher J L, and Naghavi, Mohsen

Subjects
Male, Bacteria, Syndrome, Bacterial Infections, General Medicine, Global Health, Global Burden of Disease, Risk Factors, Sepsis, Humans, Female, Mortality, Child, Africa South of the Sahara
Abstract

Background: Reducing the burden of death due to infection is an urgent global public health priority. Previous studies have estimated the number of deaths associated with drug-resistant infections and sepsis and found that infections remain a leading cause of death globally. Understanding the global burden of common bacterial pathogens (both susceptible and resistant to antimicrobials) is essential to identify the greatest threats to public health. To our knowledge, this is the first study to present global comprehensive estimates of deaths associated with 33 bacterial pathogens across 11 major infectious syndromes. Methods: We estimated deaths associated with 33 bacterial genera or species across 11 infectious syndromes in 2019 using methods from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, in addition to a subset of the input data described in the Global Burden of Antimicrobial Resistance 2019 study. This study included 343 million individual records or isolates covering 11 361 study-location-years. We used three modelling steps to estimate the number of deaths associated with each pathogen: deaths in which infection had a role, the fraction of deaths due to infection that are attributable to a given infectious syndrome, and the fraction of deaths due to an infectious syndrome that are attributable to a given pathogen. Estimates were produced for all ages and for males and females across 204 countries and territories in 2019. 95% uncertainty intervals (UIs) were calculated for final estimates of deaths and infections associated with the 33 bacterial pathogens following standard GBD methods by taking the 2·5th and 97·5th percentiles across 1000 posterior draws for each quantity of interest. Findings: From an estimated 13·7 million (95% UI 10·9–17·1) infection-related deaths in 2019, there were 7·7 million deaths (5·7–10·2) associated with the 33 bacterial pathogens (both resistant and susceptible to antimicrobials) across the 11 infectious syndromes estimated in this study. We estimated deaths associated with the 33 bacterial pathogens to comprise 13·6% (10·2–18·1) of all global deaths and 56·2% (52·1–60·1) of all sepsis-related deaths in 2019. Five leading pathogens—Staphylococcus aureus, Escherichia coli, Streptococcus pneumoniae, Klebsiella pneumoniae, and Pseudomonas aeruginosa—were responsible for 54·9% (52·9–56·9) of deaths among the investigated bacteria. The deadliest infectious syndromes and pathogens varied by location and age. The age-standardised mortality rate associated with these bacterial pathogens was highest in the sub-Saharan Africa super-region, with 230 deaths (185–285) per 100 000 population, and lowest in the high-income super-region, with 52·2 deaths (37·4–71·5) per 100 000 population. S aureus was the leading bacterial cause of death in 135 countries and was also associated with the most deaths in individuals older than 15 years, globally. Among children younger than 5 years, S pneumoniae was the pathogen associated with the most deaths. In 2019, more than 6 million deaths occurred as a result of three bacterial infectious syndromes, with lower respiratory infections and bloodstream infections each causing more than 2 million deaths and peritoneal and intra-abdominal infections causing more than 1 million deaths. Interpretation: The 33 bacterial pathogens that we investigated in this study are a substantial source of health loss globally, with considerable variation in their distribution across infectious syndromes and locations. Compared with GBD Level 3 underlying causes of death, deaths associated with these bacteria would rank as the second leading cause of death globally in 2019; hence, they should be considered an urgent priority for intervention within the global health community. Strategies to address the burden of bacterial infections include infection prevention, optimised use of antibiotics, improved capacity for microbiological analysis, vaccine development, and improved and more pervasive use of available vaccines. These estimates can be used to help set priorities for vaccine need, demand, and development. Funding: Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care, using UK aid funding managed by the Fleming Fund.

Published
2022

49. Diagnostic Performance of ASL-MRI and FDG-PET in Frontotemporal Dementia: A Systematic Review and Meta-Analysis.

Author

Dagher R, Arjmand P, Ozkara BB, Radmard M, Gad M, Sheikhy A, Wintermark M, Yedavalli V, Sair HI, and Luna LP

Abstract

Background: While the diagnosis of frontotemporal dementia (FTD) is based mostly on clinical features, [18F]-FDG PET has been investigated as a potential imaging golden standard in ambiguous cases, with arterial spin labeling (ASL) MRI gaining recent interest., Purpose: The purpose of this study is to conduct a systematic review and meta-analysis on the diagnostic performance of ASL MRI in FTD patients and compare it to that of [18F]-FDG PET., Data Sources: A systematic search of PubMed, Scopus and EMBASE was conducted until March 13, 2024., Study Selection: Inclusion criteria were: original articles, patients with FTD and/or its variants, use of ASL MR perfusion imaging with or without [18F]-FDG PET, presence of sufficient diagnostic performance data. Exclusion criteria were: meeting abstracts, comments, summaries, protocols, letters and guidelines, longitudinal studies, overlapping cohorts., Data Analysis: The quality of eligible studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2. Pooled sensitivity, specificity, and diagnostic odds ratio (DOR) for [18F]-FDG PET and ASL MRI were calculated, and a summary receiver operating characteristic curve was plotted., Data Synthesis: Seven eligible studies were identified, which included a total of 102 FTD patients. Aside from some of the studies showing at worst an unclear risk of bias in patient selection, index test, flow and timing, all studies showed low risk of bias and applicability concerns in all categories. Data from 4 studies was included in our meta-analysis for ASL MRI and 3 studies for [18F]-FDG PET. Pooled sensitivity, specificity and DOR were 0.70 (95% CI: 0.59-0.79), 0.81 (95% CI: 0.71-0.88) and 8.00 (95% CI: 3.74-17.13) for ASL MRI, and 0.88 (95% CI: 0.71-0.96), 0.89 (95% CI: 0.43-0.99) and 47.18 (95% CI: 10.77-206.75) for [18F]-FDG PET., Limitations: The number of studies was relatively small, with a small sample size. The studies used different scanning protocols as well as a mix of diagnostic metrics, all of which might have introduced heterogeneity in the data., Conclusions: While ASL MRI performed worse than [18F]-FDG PET in the diagnosis of FTD, it exhibited a decent diagnostic performance to justify its further investigation as a quicker and more convenient alternative., Abbreviations: 3DPCASL, 3D pseudocontinuous ASL; AD, Alzheimer's disease; ASL, arterial spin labeling; AUC, area under the curve; CI, confidence interval; DOR, diagnostic odds ratio; FN, false negative; FP, false positive; FTD, frontotemporal dementia; LE, limbic encephalitis; NLR, negative likelihood ratio; PASL, pulsed ASL; PLD, post-label delay; PLR, positive likelihood ratio; PRISMA, PSP, progressive supranuclear palsy; Preferred Reporting Items for Systematic Reviews and Meta-Analysis; SROC, summary receiver operative characteristic; TN, true negative; TP, true positive; QUADAS-2, Quality Assessment of Diagnostic Accuracy Studies-2., Competing Interests: The authors declare no conflicts of interest related to the content of this article., (© 2024 by American Journal of Neuroradiology.)

Published
2024
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50. In-hospital and 1-year outcomes of patients without modifiable risk factors presenting with acute coronary syndrome undergoing PCI: a Sex-stratified analysis.

Author

Sheikhy A, Fallahzadeh A, Jameie M, Aein A, Masoudkabir F, Maghsoudi M, Tajdini M, Salarifar M, Jenab Y, Pourhosseini H, Mehrani M, Alidoosti M, Vasheghani-Farahani A, and Hosseini K

Abstract

Aim: A considerable proportion of patients admitted with acute coronary syndrome (ACS) have no standard modifiable cardiovascular risk factors (SMuRFs: hypertension, diabetes mellitus, dyslipidemia, and cigarette smoking). The outcomes of this population following percutaneous coronary intervention (PCI) are debated. Further, sex differences within this population have yet to be established., Methods: This retrospective cohort study included 7,847 patients with ACS who underwent PCI. The study outcomes were in-hospital mortality, all-cause mortality, and major adverse cardio-cerebrovascular events (MACCE). The association between the absence of SMuRFs (SMuRF-less status) and outcomes among all the patients and each sex was assessed using logistic and Cox proportional hazard regressions., Results: Approximately 11% of the study population had none of the SMuRFs. During 12.13 [11.99-12.36] months of follow-up, in-hospital mortality (adjusted-odds ratio (OR):1.51, 95%confidence interval (CI): 0.91-2.65, P :0.108), all-cause mortality [adjusted-hazard ratio (HR): 1.01, 95%CI: 0.88-1.46, P : 0.731], and MACCE (adjusted-HR: 0.93, 95%CI:0.81-1.12, P : 0.412) did not differ between patients with and without SMuRFs. Sex-stratified analyses recapitulated similar outcomes between SMuRF+ and SMuRF-less men. In contrast, SMuRF-less women had significantly higher in-hospital (adjusted-OR: 3.28, 95%CI: 1.92-6.21, P  < 0.001) and all-cause mortality (adjusted-HR:1.41, 95%CI: 1.02-3.21, P : 0.008) than SMuRF+ women., Conclusions: Almost one in 10 patients with ACS who underwent PCI had no SMuRFs. The absence of SMuRFs did not confer any benefit in terms of in-hospital mortality, one-year mortality, and MACCE. Even worse, SMuRF-less women paradoxically had an excessive risk of in-hospital and one-year mortality., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Sheikhy, Fallahzadeh, Jameie, Aein, Masoudkabir, Maghsoudi, Tajdini, Salarifar, Jenab, Pourhosseini, Mehrani, Alidoosti, Vasheghani-Farahani and Hosseini.)

Published
2023
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