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196 citation(s) found for "Ibáñez, Mariam".

Death With Function and Graft Failure After Kidney Transplantation: Risk Factors at Baseline Suggest New Approaches to Management
Merzkani, Massini A., Bentall, Andrew J., Smith, Byron H., Lopez, Xiomara Benavides, D’Costa, Matthew R., Park, Walter D., Kremers, Walter K., Issa, Naim, Rule, Andrew D., Chakkera, Harini, Reddy, Kunam, Khamash, Hasan, Wadei, Hani M., Mai, Martin, Alexander, Mariam P., Amer, Hatem, Kukla, Aleksandra, Ters, Mireille El, Schinstock, Carrie A., Gandhi, Manish J., Heilman, Raymond, Stegall, Mark D., Kremers, Walter K. , Chakkera, Harini A. , Wadei, Hani M. , D’Costa, Matthew R. , Benavides Lopez, Xiomara, El Ters, Mireille, D'Costa, Matthew , Chakkera, Harini A , Wadei, Hani M , Kremers, Walter K , Merzkani, Massini A., Bentall, Andrew J., Smith, Byron H., Lopez, Xiomara Benavides, Park, Walter D., Issa, Naim, Rule, Andrew D., Reddy, Kunam, Khamash, Hasan, Mai, Martin, Alexander, Mariam P., Amer, Hatem, Kukla, Aleksandra, Ters, Mireille El, Schinstock, Carrie A., Gandhi, Manish J., Heilman, Raymond, Stegall, Mark D.

Transplantation Direct | January 13, 2022 | Volume: 8 | Issue: 2 | Pages: e1273

10.1097/txd.0000000000001273 | PMID 35047660 Get It

Background. Improving both patient and graft survival after kidney transplantation are major unmet needs. The goal of this study was to assess risk factors for specific causes of graft loss to determine to what extent patients who develop either death with a functioning graft (DWFG) or graft failure (GF) have similar baseline risk factors for graft loss. Methods. We retrospectively studied all solitary renal transplants performed between January 1, 2006, and December 31, 2018, at 3 centers and determined the specific causes of DWFG and GF. We examined outcomes in different subgroups using competing risk estimates and cause-specific Cox models. Results. Of the 5752 kidney transplants, graft loss occurred in 21.6% (1244) patients, including 12.0% (691) DWFG and 9.6% (553) GF. DWFG was most commonly due to malignancy (20.0%), infection (19.7%), cardiac disease (12.6%) with risk factors of older age and pretransplant dialysis, and diabetes as the cause of renal failure. For GF, alloimmunity (38.7%), glomerular diseases (18.6%), and tubular injury (13.9%) were the major causes. Competing risk incidence models identified diabetes and older recipients with higher rates of both DWFG and nonalloimmune GF. Conclusions. These data suggest that at baseline, 2 distinct populations can be identified who are at high risk for renal allograft loss: a younger, nondiabetic patient group who develops GF due to alloimmunity and an older, more commonly diabetic population who develops DWFG and GF due to a mixture of causes—many nonalloimmune. Individualized management is needed to improve long-term renal allograft survival in the latter group.
Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States
Hawley, Jessica E. , Sun, Tianyi , Chism, David D. , Duma, Narjust , Fu, Julie , Gatson, Na Tosha , Mishra, Sanjay , Nguyen, Ryan H., Reid, Sonya , Serrano, Oscar K. , Singh, Sunny , Venepalli, Neeta K. , Bakouny, Ziad , Bilen, Mehmet Asım , Choueiri, Toni K. , Dawsey, Scott J. , Fecher, Leslie A. , Flora, Daniel , Friese, Christopher R. , Glover, Michael , Gonzalez, Cyndi J, Goyal, Sharad , Khan, Hina, Lewis, Mark A. , McKay, Rana R. , Messing, Ian , Puc, Matthew , Ravindranathan, Deepak , Rhodes, Terence D., Rivera, Andrea Verghese, Roller, John , Shah, Sumit , Shaya, Justin , Streckfuss, Mitrianna, Wulff‐Burchfield, Elizabeth , Xie, Zhuoer , Shah, Dimpy P. , French, Benjamin , Verma, Amit , Gartrell, Benjamin A. , Ohri, Nitin , Butt, Omar H. , Campian, Jian , Fiala, Mark A. , Monahan, Ryan, Bohachek, Pamela, Mundt, Daniel , Tadesse, Eyob, Lammers, Philip E. , Prete, Salvatore A. Del , Bär, Michael , Gulati, Anthony P., Lo, K. M. Steve, Stratton, Jamie , Weinstein, Paul L., García, Jorge A. , Nakayama, John , Gupta, Shilpa , Ahluwalia, Manmeet S. , Lemmon, Christopher A. , Nizam, Amanda , Hoppenot, Claire , Bouchard, Gabrielle, Busser, Fiona, Connors, Jean M. , Curran, Catherine , Demetri, George D., Kelleher, Kaitlin M. , Shaw, Grace, Allen, Eli Van, Nuzzo, Pier Vitale , Zon, Rebecca L. , Zhang, Tian , Leighton, John, Grivas, Petros , Lynch, Ryan C. , Schweizer, Michael T. , Vinayak, Shaveta , Wagner, Michael J. , Clément, Jessica , Daher, Ahmad , Dailey, Mark, Jayaraj, Asha, Hsu, Emily , Menendez, Alvaro G. , Rathmann, Joerg, Accordino, Melissa , Alexander, Mariam P., Mushtaq, Sarah, Bernicker, Eric , Deeken, John F. , Shafer, Danielle , Gill, David , Low, Clarke A., Mashru, Sandeep H., Mansoor, Abdul-Hai, Zaren, Howard A. , Smith, Stephanie J., Akhtari, Mojtaba, Lau, Eric , Reeves, Mark E. , Elms, Destry, Altman, Jessica K. , Gurley, Michael, Mulcahy, Mary F. , Kulkarni, Amit , Shah, Surbhi , Rosovsky, Rachel , Reynolds, Kerry L. , Bardia, Aditya , Gainor, Justin F. , Zubiri, Leyre , Bonnen, Mark , Mahadevan, Daruka , Salazar, Mary, Faller, Bryan A. , Ajmera, Archana , Brouha, Sharon S. , Cabal, Angelo , Kligerman, Seth , Weissmann, Lisa B., Jani, Chinmay , Thomson, Carey C. , Knoble, Jeanna, Glace, Mary Grace, Stauffer, Karen, Zacks, Rosemary, Blau, Sibel , Menon, Harry, Rovito, Marc A., Elshoury, Amro, Misdary, Christian, Shah, Mansi , Mahmood, Sana , Mico, Vasil, Logan, Barbara, Mandapakala, Chaitanya, Cabebe, Elwyn C., Jha, Alokkumar , Schapira, Lidia , Wu, Julie , Subbiah, Suki , Lopes, Gilberto , Revankar, Sanjay G. , Addison, Daniel , Chen, James L. , Karivedu, Vidhya , Lustberg, Maryam B. , Wall, Sarah , Williams, Nicole , Kasi, Anup , Edwin, Natasha, Smits, Melissa, Owenby, Susie, Doroshow, Deborah B. , Galsky, Matthew D. , Zhu, Huili , Sueyoshi, Mark, Riess, Jonathan W. , Patel, Kanishka G. , Rubinstein, Samuel M. , Ahmad, Syed A. , Grover, Punita , Kharofa, Jordan , Marcum, Michelle, Park, Cathleen, Geiger, Christoper L., Bishnoi, Rohit , Russ, Atlantis Dawn, Rho, Young Soo , Feldman, Lawrence , Hoskins, Kent , Gantt, Gerald, Liu, Li , Khan, Mahir, Nguyen, Ryan H., Schwartz, Candice, Mavromatis, Blanche H., Bijjula, Ragneel R., Cheng, Alex , Duda, Stephany N. , Enriquez, Kyle T. , Gillaspie, Erin A. , Hennessy, Cassandra , Johnson, Douglas B. , Slosky, David, Solórzano, Carmen C. , Vega-Luna, Karen, Kennecke, Hagen F. , Schroeder, Brett A., Carducci, Theresa M., Goldsmith, Karen J., Loon, Susan Van, Topaloĝlu, Ümit , Alimohamed, Saif, Rice, Robert, Cabalona, Wilhelmina D., Pilar, Christine, Peddi, Prakash , Rosen, L, McCollough, Briana Barrow, LoRusso, Patricia , Masters, Tyler, Choueiri, Toni K , Bakouny, Ziad , Hawley, Jessica E , Mishra, Sanjay , Wu, Julie T , Xie, Zhuoer , Zubiri, Leyre , Gatson, Na Tosha N , Fiala, Mark A , Ahluwalia, Manmeet S , Lustberg, Maryam , Nguyen, Ryan H., Bashir, Babar , Caimi, Paolo F. , Hálfdánarson, Þorvarður R. , Hershman, Dawn L. , Labaki, Chris , Pennell, Nathan A , Schwartz, Gary K. , Thompson, Michael A. , Yu, Peter Paul , Warner, Jeremy L. , Hwang, Clara , Halmos, Balázs , Goel, Sanjay , Sica, Roberto Alejandro , Thakkar, Astha , Stockerl‐Goldstein, Keith , Henderson, Jeffrey P. , Zhou, Alice Y. , Panagiotou, Orestis A. , Egan, Pamela , Farmakiotis, Dimitrios , Olszewski, Adam J. , Loaiza‐Bonilla, Arturo , Bar, Michael H., Rose, Suzanne J. , Barnholtz‐Sloan, Jill S. , Li, Ang , Giordano, Antonio , Nohria, Anju , Schmidt, Andrew , Xu, Vincent Eric , Halabi, Susan , Lyman, Gary H , Graber, Jerome J. , Khaki, Ali Raza , Loggers, Elizabeth T , Nakasone, Elizabeth S. , Tachiki, Lisa , Yeh, Albert C. , Huynh‐Le, Minh‐Phuong , Rosenstein, Lori J. , Dailey, Mark, Elias, Rawad , Gadgeel, Shirish M. , Bhutani, Divaya , Reuben, Daniel Y. , Alexander, Mariam, Nagaraj, Gayathri , Berg, Stephanie , Morgans, Alicia K. , Wehbe, Firas , Durbin, Eric B. , Nelson, Heather H. , Sachs, Zohar , Boland, Genevieve M. , Bekaii‐Saab, Tanios , Desai, Aakash , Mesa, Ruben A. , Ramirez, Amelie G , Shah, Pankil , Hsiao, Albert , Rink, Cameron L. , Joshi, Monika , Griffiths, Elizabeth A. , Jabbour, Salma K , McNair, Christopher M. , Kloecker, Goetz Hans , Stover, Daniel G. , Gatti-Mays, Margaret Elena , Jhawar, Sachin R. , Palmer, Joshua D. , Wotman, Michael T. , Fazio, Alyson, Huber, Kathryn E. , Wood, William A. , Jensen, Christopher Edward , Kumar, Vaibhav , Wise-Draper, Trisha Michel , Gulati, Shuchi , Latif, Tahir , Shaikh, Hira , Bowles, Daniel W. , Markham, Merry Jennifer , Shah, Chintan , Acoba, Jared David , Nguyen, Ryan H., Pasquinelli, Mary M. , Vikas, Praveen , Zaman, Qamar U., Davis, Elizabeth J. , Hausrath, Daniel J. , Hsu, Chih–Yuan , Li, Xuanyi , Rini, Brian I. , Shyr, Yu , Tucker, Matthew D. , Wang, Lucy Lu , Aboulafia, David M. , Schroeder, Brett , Hafez, Navid , Herbst, Roy S. , Stratton, Catherine

JAMA Network Open | January 4, 2022 | Volume: 5 | Issue: 1 | Pages: e2142046

10.1001/jamanetworkopen.2021.42046 | PMID 34982158 Get It

Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019
Kocarnik, Jonathan , Compton, Kelly, Dean, Frances , Fu, Weijia , Gaw, Brian, Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa, Xu, Rixing, Ababneh, Emad , Abbasi‐Kangevari, Mohsen , Abbastabar, Hedayat , Abd‐Elsalam, Sherief , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac Akinkunmi , Advani, Shailesh M, Aghaali, Mohammad , Ahmad, Tauseef , Rashid, Tarik A. , Salih, Yusra Ahmed , Aklilu, Addis , Akram, Tayyaba , Akunna, Chisom Joyqueenet , Hamad, Hanadi Al , Alahdab, Fares , Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem , Almasri, Nihad A. , Al‐Maweri, Sadeq Ali , Almustanyir, Sami , Alonso, Nivaldo , Alvis‐Guzmán, Nelson , Amu, Hubert , Ansari, Fereshteh, Antwi, Maxwell Hubert , Anvari, Davood , Anyasodor, Anayochukwu Edward , Aqeel, Muhammad , Arabloo, Jalal , Aremu, Olatunde , Ariffin, Hany , Aripov, Timur , Arshad, Muhammad , Artaman, Al, Arulappan, Judie , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Atorkey, Prince , Ausloos, Marcel , Awedew, Atalel Fentahun , Quintanilla, Beatriz Paulina Ayala , Ayenew, Temesgen , Azab, Mohammed A. , Azadnajafabad, Sina , Jafari, Amirhossein Azari , Azarian, Ghasem , Badiye, Ashish , Bahadory, Saeed , Baig, Atif Amin , Baker, Jennifer L. , Balakrishnan, Senthilkumar , Bärnighausen, Till , Barone‐Adesi, Francesco , Barrow, Amadou , Belgaumi, Uzma , Bezabhe, Woldesellassie, Bezabih, Yihienew Mequanint , Bhagat, Devidas S. , Bhagavathula, Akshaya Srikanth , Bhardwaj, Nikha , Bhaskar, Sonu , Bhojaraja, Vijayalakshmi S, Bibi, Sadia , Bijani, Ali , Bisignano, Catherine, Bolarinwa, Obasanjo Afolabi , Bolla, Srinivasa Rao , Braithwaite, Dejana , Brar, Amanpreet , Brenner, Hermann , Bustamante-Teixeira, Maria Teresa , Butt, Nadeem Shafique , Butt, Zahid A , Santos, Florentino Luciano Caetano dos , Cao, Yin , Carreras, Giulia , Catalá-López, Ferrán , Cembranel, Francieli , Cerin, Ester , Cernigliaro, Achille , Chakinala, Raja Chandra , Chattu, Soosanna Kumary , Chattu, Vijay Kumar , Chaturvedi, Pankaj, Chimed‐Ochir, Odgerel , Cho, Daniel , Chu, Dinh‐Toi , Conde, João , Cortés, Sandra , Cortesi, Paolo Angelo, Costa, Vera Marisa , Cunha, Amanda Ramos da , Dadras, Omid , Dagnew, Amare Belachew , Dandona, Lalit , Dandona, Rakhi , Hoz, Fernando de la , Dhamnetiya, Deepak , Dhimal, Mandira Lamichhane , Díaz, Daniel , Djalalinia, Shirin , Doaei, Saeid , Dorostkar, Fariba, Driscoll, Tim , Ebrahimi, Hedyeh , Eftekharzadeh, Sahar , Tantawi, Maha El , El‐Abid, Hassan , Elbarazi, Iffat , Elhabashy, Hala Rashad , Elhadi, Muhammed , Eshrati, Babak, Esmaeilzadeh, Firooz , Etemadi, Arash , Ezzikouri, Sayeh , Faisaluddin, Mohammed, Fares, Jawad , Farzadfar, Farshad , Feroze, Abdullah , Desideri, Lorenzo Ferro , Fischer, Florian , Fisher, James L. , Fukumoto, Takeshi , Gad, Mohamed M. , Fonseca, Mariana Gaspar, Obsa, Abera Getachew, Ghafourifard, Mansour , Ghashghaee, Ahmad , Ghith, Nermin , Gholamalizadeh, Maryam , Gilani, Syed Amir , Gizaw, Abraham Tamirat , Glasbey, James , Golechha, Mahaveer , Goleij, Pouya , Gopalani, Sameer Vali , Gorini, Giuseppe , Goudarzi, Houman , Gubari, Mohammed Ibrahim Mohialdeen , Guerra, Maximiliano Ribeiro, Guha, Avirup , Gunasekera, Sanjeeva , Gupta, Bhawna , Gupta, Vivek , Gutiérrez, Reyna Alma, Hafezi‐Nejad, Nima , Haider, Mohammad Rifat , Hameed, Sajid , Hanif, Asif , Haque, Shafiul , Harlianto, Netanja I. , Hasaballah, Ahmed I , Hay, Simon I , Heidari, Golnaz , Herrera-Serna, Brenda Yuliana , Herţeliu, Claudiu , Hezam, Kamal , Hossain, Mohammad Bellal , Hosseini, Mohammad‐Salar , Hosseini, Mostafa, Hosseinzadeh, Mehdi , Hostiuc, Mihaela , Househ, Mowafa , Hsaïri, Mohamed, Huang, Junjie , Hugo, Fernando Neves , Hussain, Rabia , Hussein, Nawfal R , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ida, Fidelia , Ikuta, Kevin S , Ilić, Irena , Irham, Lalu Muhammad , Islam, Jessica Y. , Islam, Sheikh Mohammed Shariful , Ismail, Nahlah Elkudssiah , Isola, Gaetano , Iwagami, Masao , Jacob, Louis , Jain, Vardhmaan , Jakovljević, Mihajlo, Javaheri, Tahereh , Jayaram, Shubha, Jha, Ravi Prakash , Jonas, Jost B, Joó, Tamás , Joseph, Nitin , Joukar, Farahnaz, Jürisson, Mikk , Kalankesh, Leila R , Kalhor, Rohollah , Kalkonde, Yogeshwar , Kamath, Ashwin , Al-Salihi, Nawzad Kameran, Kandel, Himal , Kapoor, Neeti , Kasa, Ayele Semachew , Keshavarz, Pedram , Keykhaei, Mohammad , Khader, Yousef , Khalilov, Rovshan , Khan, Maseer , Khan, Md Nuruzzaman , Khan, Moien AB , Khang, Young-Ho, Khater, Amir M, Kısa, Adnan , Kısa, Sezer , Kopec, Jacek A , Koteeswaran, Rajasekaran , Koul, Parvaiz A , Laxminarayana, Sindhura Lakshmi Koulmane , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, G Anil , Kurmi, Om , Kutluk, Tezer, Lami, Faris Hasan, Lee, Yo Han , Leigh, James , Leong, Elvynna , Li, Ming‐Chieh , Liu, Xuefeng , Loureiro, Joana A. , Lunevičius, Raimundas , Razek, Muhammed Magdy Abd El, Majeed, Azeem , Makki, Alaa, Male, Shilpa, Malik, Ahmad Azam , Martini, Santi , Masoumi, Seyedeh Zahra , Mehrotra, Ravi , Mendoza, Walter, Mengesha, Endalkachew Worku , Mesregah, Mohamed Kamal , Jonasson, Junmei Miao , Miazgowski, Bartosz , Miazgowski, Tomasz , Michałek, Irmina Maria , Miller, Ted R. , Mirzaei, Hamid Reza , Misra, Sanjeev , Mithra, Prasanna , Moghadaszadeh, Masoud, Mohammad, Karzan Abdulmuhsin , Mohammad, Yousef , Mohammadi, Mokhtar , Mohammadi, Seyyede Momeneh, Mohammadian-Hafshejani, Abdollah , Mohammed, Shafiu , Moka, Nagabhishek , Mokdad, Ali H. , Molokhia, Mariam , Monasta, Lorenzo , Moosavi, Mohammad Amin , Moradi, Yousef , Moraga, Paula , Morgado-da-Costa, Joana, Mubarik, Sumaira , Mwanri, Lillian , Nagarajan, Ahamarshan Jayaraman , Nagata, Chie , Naimzada, Mukhammad David , Nangia, Vinay, Naqvi, Atta Abbas , Swamy, Sreenivas Narasimha, Negoi, Ionuţ , Negru, Șerban , Kandel, Sandhya Neupane , Nguyen, Cuong Tat , Niazi, Robina Khan, Nnaji, Chukwudi A , Noor, Nurulamin M , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ogbo, Felix Akpojene , Olagunju, Andrew T , Olakunde, Babayemi O. , Omar, Emad, Bali, Ahmed Omar , Omonisi, Abidemi , Ong, Sokking, Onwujekwe, Obinna , Ortega-Altamirano, Doris V , Otstavnov, Stanislav S , Mahesh, P A , Pakshir, Keyvan , Pană, Adrian , Panagiotakos, Demosthenes B. , Panda‐Jonas, Songhomitra, Park, Eun‐Cheol , Park, Eun‐Kee , Kan, Fatemeh Pashazadeh , Patel, Harsh K. , Patel, Jenil , Pati, Siddhartha , Paudel, Uttam , Pereira, David M. , Pereira, Renato B. , Perianayagam, Arokiasamy , Pillay, Julian David , Pirouzpanah, Saeed , Podder, Indrashis , Postma, Maarten J. , Prashant, Akila , Preoțescu, Liliana , Rabiee, Navid , Radfar, Amir , Radhakrishnan, Raghu , Radhakrishnan, Venkatraman , Rahim, Fakher , Rahimzadeh, Shadi , Rahman, Mosiur , Rahman, Muhammad Aziz , Rajai, Nazanin , Rajesh, Aashish , Ram, Pradhum , Ramezanzadeh, Kiana, Ranabhat, Kamal , Rao, Chythra R , Rao, Sowmya J, Rawassizadeh, Reza , Razeghinia, Mohammad Sadegh , Rezapour, Aziz, Buendía, Jefferson Antonio , Rohloff, Peter , Rwegerera, Godfrey Mutashambara , Manjula, S, Saddik, Basema , Saeed, Umar , Sahoo, Harihar , Salehi, Sana , Salem, Marwa Rashad , Samaei, Mehrnoosh, Samy, Abdallah M , Sanabria, Juan , Sankararaman, Senthilkumar , Santric-Milicevic, Milena M , Sardiwalla, Yaeesh , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Šekerija, Mario , Seylani, Allen, Shafaat, Omid , Shaikh, Masood Ali , Shannawaz, Mohammed , Sheikhbahaei, Sara , Shetty, Adithi , Shetty, Jeevan K. , Shetty, Pavanchand H, Shirkoohi, Reza , Shivarov, Velizar , Malleshappa, Sudeep K Siddappa , Silva, Diego Augusto Santos , Sintayehu, Yitagesu , Skryabin, Valentin Yurievich , Soeberg, Matthew, Sofi‐Mahmudi, Ahmad , Steiropoulos, Paschalis , Straif, Kurt, Subedi, Ranjeeta , Sultana, Saima , Szerencsés, Viktória , Tabuchi, Takahiro , Tadbiri, Hooman , Takahashi, Ken , Tan, Ker‐Kan , Tat, Vivian Y, Tedla, Bemnet , Tefera, Yonas Getaye , Temsah, Mohamad‐Hani , Tesfay, Fisaha Haile , Tessema, Gizachew Assefa , Thavamani, Aravind , Chandrasekar, Viveksandeep Thoguluva , Touvier, Mathilde , Tovani‐Palone, Marcos Roberto , Traini, Eugenio , Tran, Mai Thi Ngoc , Tripathy, Jaya Prasad , Tusa, Biruk Shalmeno , Ullah, Irfan , Ullah, Saif , Umapathi, Krishna Kishore , Vaezi, Maryam, Tahbaz, Sahel Valadan , Velazquez, Diana Zuleika , Violante, Francesco Saverio , Volovici, Victor , Vu, Giang Thu , Waheed, Yasir , Ward, Paul , Wen, Yi Feng , Westerman, Ronny, Yadav, Lalit , Jabbari, Seyed Hossein Yahyazadeh, Yang, Lin , Yazie, Taklo Simeneh , Yeshaw, Yigizie , Younis, Mustafa Z , Yousefi, Zabihollah , Yunusa, Ismaeel , Zadnik, Vesna , Zare, Fariba , Застрожин, Михаил Сергеевич , Zastrozhina, Anasthasia, Zhang, Jianrong , Zhong, Chenwen, Zhu, Cong , Zimmermann, Ivan Ricardo , Fitzmaurice, Christina , Murray, Christopher J L , Force, Lisa M , Ong, Sok King , Eftekhari, Aziz , Guimarães, André Luiz Sena , Kumar, Vivek , Lami, Faris , Liu, Xuefeng , Baig, Atif Amin , Thoguluva Chandrasekar, Viveksandeep, Kumar, Vivek , Cao, Yin , Brenner, Hermann , Farzadfar, Farshad , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Guha, Avirup , Ebrahimi, Hedyeh , Volovici, Victor , Bhagavathula, Akshaya Srikanth , Jakovljević, Mihajlo , Elhadi, Muhammed , Abdoli, Amir , Adnani, Qorinah Estiningtyas Sakilah , Afzal, Muhammad Sohail, Ahinkorah, Bright Opoku , Ahmad, Sajjad , Ahmadi, Ali , Ahmadi, Sepideh , Akalu, Gizachew Taddesse , Al‐Aly, Ziyad , Ali, Saqib , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Anbesu, Etsay Woldu , Ancuceanu, Robert , Ansari‐Moghaddam, Alireza , Arab-Zozani, Morteza , Asemi, Zatollah , Aujayeb, Avinash , Azzam, Ahmed Y , Banach, Maciej , Barra, Fabio , Behzadifar, Masoud , Bezabhe, Woldesellassie M Mequanint , Bhardwaj, Pankaj , Bhattacharyya, Krittika , Biondi, Antonio , Bjørge, Tone , Bleyer, Archie , Blyuss, Oleg B. , Chaturvedi, Pankaj, Christopher, Devasahayam Jesudas , Chung, Michael T. , Cortesi, Paolo Angelo , Belachew, Amare , Dahlawi, Saad M A , Dai, Xiaochen , Darwesh, Aso Mohammad , Neves, José das , Demis, Asmamaw , Denova‐Gutiérrez, Edgar , Dhimal, Meghnath , Dianatinasab, Mostafa , Do, Huyen Phuc , Doaei, Saeid , Figueiredo, Francisco Winter dos Santos , El-Jaafary, Shaimaa I , Eskandarieh, Sharareh , Faraon, Emerito Jose A , Ferrero, Simone , Filip, Irina , Foroutan, Masoud , Gaál, Péter , Gadanya, Muktar A , Gallus, Silvano , Gomez, Ricardo Santiago , Grosso, Giuseppe , Gupta, Veer Bala , Haj‐Mirzaian, Arvin , Halwani, Rabih , Hamadeh, Randah R , Hamidi, Samer , Haro, Josep María , Hassanipour, Soheil , Hay, Roderick J. , Hayat, Khezar , Heidari, Mohammad , Holla, Ramesh , Hossain, Md Mahbub , Hostiuc, Sorin , Iavicoli, Ivo , Ilesanmi, Olayinka Stephen , Ilić, Milena , Islam, Rakibul M. , Jazayeri, Seyed Behzad , Kabir, Ali , Kahrizi, Danial , Kaliyadan, Feroze , Karch, André , Katikireddi, Srinivasa Vittal , Kauppila, Joonas H. , Kavetskyy, Taras , Kebede, Sewnet Adem , Khan, Gulfaraz , Khang, Young-Ho, Khayamzadeh, Maryam , Kim, Gyu Ri , Kim, Yun Jin , Kissimova‐Skarbek, Katarzyna , Koyanagi, Ai , Kumar, Narinder , Kumar, Nithin , Vecchia, Carlo La , Landires, Iván , Lauriola, Paolo , Lee, Sang Hyuck , Lee, Shaun Wen Huey , Lee, Wei‐Chen , Li, Jiarui , Mansournia, Mohammad Alì , Mathur, Prashant , McKee, Martin , Menezes, Ritesh G. , Meštrović, Tomislav , Mirzaei, Hamed , Moni, Mohammad Ali , Morrison, Shane D. , Mosapour, Abbas , Nagaraju, Shankar Prasad , Ndejjo, Rawlance , Nduaguba, Sabina O. , Nguyen, Huong Lan Thi , Núñez-Samudio, Virginia , Оchir, Chimedsuren , Odukoya, Oluwakemi Ololade , Ong, Sokking, Orru, Hans , Otstavnov, Nikita , Owolabi, Mayowa , Padubidri, Jagadish Rao , Pardhan, Shahina , Pattanshetty, Sanjay M. , Pishgar, Farhad , Pourjafar, Hadi , Rabiee, Mohammad , Rafiee, Ata , Rahmani, Amir Masoud , Rakovac, Ivo , Ranasinghe, Priyanga Diloshini , Renzaho, André M. N. , Rezaei, Negar , Rezaei, Nima , Roberts, Thomas J. , Romoli, Michele , Ronfani, Luca , Roshandel, Gholamreza , Sabour, Siamak , Sahebkar, Amirhossein , Salimzadeh, Hamideh , Şaylan, Mete , Schneider, Ione Jayce Ceola , Shaghaghi, Zahra , Shamsoddin, Erfan , Sharma, Rajesh , Sheikh, Aziz , Shibuya, Kenji , Shivakumar, K. M. , Siabani, Soraya , Singh, Jasvinder A. , Skryabina, Anna Aleksandrovna , Sotoudeh, Houman , Sufiyan, Mu’awiyyah Babale , Sultan, Iyad Yasin , Sur, Daniel Genel , Szócska, Miklós , Tabarés‐Seisdedos, Rafael , Taherkhani, Amir , Talaat, Iman Mamdouh , Tehrani‐Banihashemi, Arash , Thapar, Rekha , Thomas, Nihal , Tohidinik, Hamid Reza , Tran, Bach Xuan , Tran, Khanh Bao , Unnikrishnan, Bhaskaran , Upadhyay, Era , Vacante, Marco , Vaezi, Maryam, Veroux, Massimiliano , Vlassov, Vasily , Vo, Bay, Wamai, Richard G. , Winkler, Andrea Sylvia , Yaya, Sanni , Yonemoto, Naohiro , Yu, Chuanhua , Yüce, Deniz , Zhou, Linghui , Ziapour, Arash , Olagunju, Andrew T , Shivakumar, KM , Baig, Atif Amin , Alahdab, Fares , Asghari-Jafarabadi, Mohammad , Rahim, Fakher

JAMA Oncology | December 30, 2021 | Volume: 8 | Issue: 3 | Pages: 420

10.1001/jamaoncol.2021.6987 | PMID 34967848 Get It

Expert Curation of Somatic FLT3 Variants By the Clingen Somatic Hematologic Cancer Taskforce (ClinGen HCT)
Shao, Xiangqiang , Mani, Coumarane, He, Rong , Danos, Arpad , Sheta, Lana , Terraf, Panieh, Raca, Gordana , Williams, Heather , Blombery, Piers , Viswanatha, David S., Jiang, Nan , Vavra, Kevin C., Zhang, Liying , Li, Yuwen , Zhong, Yiming , Matthew, Mariam T, Deeb, Kristin K. , Zhang, Fengli , Liu, Jie , Zhao, Xiaonan, Kopp, Nathan , Pondugula, Santhi , Fakim, Yasmina Jaufeerally , Wu, David , Pullarkat, Sheeja T. , Kulkarni, Shashikant , Madhavan, Subha , Kanagal‐Shamanna, Rashmi , Xu, Xinjie , Kanagal-Shamanna, Rashmi , Rao, Shruti , Saliba, Jason , Kesserwan, Chimene A. , Eno, Celeste , Jiang, Nan, Shi, Zonggao , Li, Peng , Ouseph, Madhu M. , Thompson, Ella R. , Krysiak, Kilannin , Wagner, Alex H. , McCoy, Matthew , Zhao, Xiaonan, Ferrer, Alejandro , Zhang, Wenying , Griffith, Obi L. , Griffith, Malachi

Blood | November 23, 2021 | Volume: 138 | Issue: Supplement 1 | Pages: 4387-4387

10.1182/blood-2021-153546 Get It

Abstract Clinical significance of somatic gene variants needs to be comprehensively characterized for their diagnostic, prognostic and/or therapeutic actionability in patient management. However, challenges remain due to discrepancies in interpretation and reporting of these somatic variants among different testing labs. Therefore, standardized curation, clinical interpretation and reporting of somatic variants in hematologic cancers is critical. To address this issue, the Hematologic Cancer Taskforce (HCT), composed of 52 multi-disciplinary experts including oncologists, molecular pathologists, lab directors, genomic scientists and biocurators, was formed in January 2020 within the ClinGen Somatic Cancer Clinical Domain Working Group (CDWG) with a goal to undertake systematic curation and evidence-based clinical interpretation of genes/somatic variants associated with hematologic malignancies. In collaboration with the Clinical Interpretation of Variants in Cancer (CIViC) (civicdb.org) knowledgebase, HCT members curate, edit, and verify Evidence Items for each variant extracted from peer-reviewed publications. Monthly discussions based on these Evidence Items lead to the preparation of variant Assertions, which summarize the state of the field consensus variant interpretation and include tiering based on the AMP/ASCO/CAP guidelines (PMID: 27993330). FMS-like tyrosine kinase 3 (FLT3) encodes a class III receptor tyrosine kinase expressed in hematopoietic cells. FLT3 mutations, including both internal tandem duplication (ITD) and mutations in the tyrosine kinase domain (TKD), are the most common mutations in acute myeloid leukemia (AML), occurring in approximately 30% of all AML cases. Implementing FLT3 tyrosine kinase inhibitors (TKIs) in different treatment regimens for FLT3 mutated AML patients has led to significantly improved overall survival. Type I FLT3 inhibitors, including midostaurin, gilteritinib, sunitinib, lestaurtinib, and crenolanib, bind to the ATP-binding site when the receptor is in active conformation. Type II FLT3 inhibitors, including sorafenib, ponatinib, and quizartinib, interact with a hydrophobic region directly adjacent to the ATP-binding domain that is only accessible when the receptor is inactive, which prevents receptor activation. Generally in AML cells, type I FLT3 inhibitors prevent activity for both ITD and TKD mutations, while Type II inhibitors target ITD but lack efficiency against TKD mutations. The development of TKD mutations in AML cells with ITD have proved to be a mechanism of acquired, or secondary resistance to Type II FLT3 inhibitors. The HCT is piloting curation assessments of FLT3 alterations, including ITD, TKD and non-TKD variants, in AML. So far, the HCT has curated 75 evidence items for FLT3 somatic variants. FLT3-ITD, as well as D835 and I836 were asserted as tier 1 level A variants based on the prediction of response to gilteritinib in relapsed/refractory AML (PMIDs: 27993330, 31665578, 28645776, 28516360, 27908881). Recent curation activities are focused on FLT3 D839G and N676K, as clinical trials using large AML patient cohorts are lacking in their ability to validate drug response/resistance associations of these two TKD variants due to their low frequency. Functional studies showed both variants result in increased proliferation and protection from apoptosis, supporting the oncogenic potential of these two variants (PMIDs: 26891877, 2468088). FLT3 D839G combined with ITD confers resistance to pexidartinib and ponatinib, both Type II FLT3 inhibitors (PMIDs: 25847190, 23430109). FLT3 N676K predicts response to the Type I FLT3 inhibitor, gilteritinib, when N676K is present alone or in combination with ITD. Interestingly, FLT3 N676K in the absence of ITD predicts response to sorafenib, a Type II FLT3 inhibitor (PMIDs: 32040554, 32984009). However, these results are mostly derived from in vitro studies. Two separate Tier II, Level D Assertions have been submitted for FLT3-ITD&D839G for its response to pexidartinib and ponatinib, and more evidence is being collected to form an Assertion for FLT3 N676K. The complexity of the prediction of response/resistance associated with FLT3 D839G and N676K supports the importance of evidence-based curation and collection for these variants in the context of the overall mutation profile, disease context and specific FLT3 TKIs to clearly define their clinical impact. Disclosures Pullarkat: Stemline Therapeutics: Honoraria.
Discovery of Autoantibodies Targeting Nephrin in Minimal Change Disease Supports a Novel Autoimmune Etiology
Watts, Andrew J.B. , Keller, Keith H. , Lerner, Gabriel, Rosales, Ivy, Collins, A. Bernard, Sekulic, Miroslav , Waikar, Sushrut S. , Chandraker, Anil, Alexander, Mariam P. , Troost, Jonathan P., Chen, Junbo, Fermin, Damian , Yee, Jennifer L., Sampson, Matthew G., Henderson, Joel M., Greka, Anna, Rennke, Helmut G., Weins, Astrid, Henderson, Joel , Riella, Leonardo V , Alexander, Mariam P , Fermin, Damian , Beck, Laurence H , Watts, Andrew J.B. , Keller, Keith H. , Lerner, Gabriel, Rosales, Ivy, Collins, A. Bernard, Sekulic, Miroslav , Waikar, Sushrut S. , Chandraker, Anil, Troost, Jonathan P., Chen, Junbo, Yee, Jennifer L., Sampson, Matthew G., Henderson, Joel M., Greka, Anna, Rennke, Helmut G., Weins, Astrid

Journal of the American Society of Nephrology | November 3, 2021 | Volume: 33 | Issue: 1 | Pages: 238-252

10.1681/asn.2021060794 | PMID 34732507 Get It

Significance Statement Although corticosteroids are an effective first-line therapy for minimal change disease, relapse, steroid dependence, and intolerance are common in this podocytopathy of unknown etiology. The efficacy of B cell–targeted therapies in some patients suggests an autoantibody-mediated etiology. This study describes the novel discovery in both adults and children with minimal change disease of autoantibodies targeting nephrin, a critical component of the podocyte slit diaphragm that ensures integrity of the glomerular filtration barrier. This observation aligns with the established proteinuric effect of antinephrin antibodies demonstrated in animal models. These findings identify an important autoimmune mechanism in a subset of patients with minimal change disease and provide a framework for the application and development of precision medicine strategies in this condition. Background Failure of the glomerular filtration barrier, primarily by loss of slit diaphragm architecture, underlies nephrotic syndrome in minimal change disease. The etiology remains unknown. The efficacy of B cell–targeted therapies in some patients, together with the known proteinuric effect of anti-nephrin antibodies in rodent models, prompted us to hypothesize that nephrin autoantibodies may be present in patients with minimal change disease. Methods We evaluated sera from patients with minimal change disease, enrolled in the Nephrotic Syndrome Study Network (NEPTUNE) cohort and from our own institutions, for circulating nephrin autoantibodies by indirect ELISA and by immunoprecipitation of full-length nephrin from human glomerular extract or a recombinant purified extracellular domain of human nephrin. We also evaluated renal biopsies from our institutions for podocyte-associated punctate IgG colocalizing with nephrin by immunofluorescence. Results In two independent patient cohorts, we identified circulating nephrin autoantibodies during active disease that were significantly reduced or absent during treatment response in a subset of patients with minimal change disease. We correlated the presence of these autoantibodies with podocyte-associated punctate IgG in renal biopsies from our institutions. We also identified a patient with steroid-dependent childhood minimal change disease that progressed to end stage kidney disease; she developed a massive post-transplant recurrence of proteinuria that was associated with high pretransplant circulating nephrin autoantibodies. Conclusions Our discovery of nephrin autoantibodies in a subset of adults and children with minimal change disease aligns with published animal studies and provides further support for an autoimmune etiology. We propose a new molecular classification of nephrin autoantibody minimal change disease to serve as a framework for instigation of precision therapeutics for these patients.
Echocardiography, lung ultrasound, and cardiac magnetic resonance findings in COVID‐19: A systematic review
Barssoum, Kirolos , Victor, Varun , Kumar, Ashish , Mubasher, Mahmood , Hassib, Mohab, Magdi, Mohamed, Renjithlal, Sarathlal, Abdelazeem, Mohamed , Shariff, Mariam , Idemudia, Osarenren , Ibrahim, Mounir , Mohamed, Amr , Patel, Harsh , Diab, Mohamed , Szeles, Andras , Ibrahim, Fadi , Jha, Roshan Kumar , Akula, Navya, Nanda, Navin C. , Kumar, Ashish , Kumar, Ashish , Shariff, Mariam , Chowdhury, Medhat , Salem, Ahmad, Thakkar, Samarthkumar , Kalra, Ankur

Echocardiography | July 8, 2021 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1111/echo.15152 | PMID 34236091 Get It

Abstract 18092: Source of Galectin-3 in Human Heart Failure, Chronic Kidney Disease and Cardio-renal Failure
Hussain, Imad , Alexander, Mariam P., Maleszewski, Joseph J. , Pereira, Naveen L. , Redfield, Margaret M.

Circulation | July 3, 2021 | Volume: 132 | Issue: suppl_3 | Pages: No page available

10.1161/circ.132.suppl_3.18092 Get It

Background: Galectin-3 (Gal-3) may promote cardiac and renal fibrosis in heart failure (HF). Plasma Gal-3 levels predict outcome in HF but are tightly correlated with renal function. The source of Gal-3 in human HF, chronic kidney disease (CKD) or cardio-renal failure (HF+CKD) is unclear. Objective: To assess Gal-3 presence and location in human heart or kidney tissue from patients with HF, CKD or HF+CKD. Methods: Plasma Gal-3 levels and LV tissue explanted at time of cardiac transplant in systolic HF (n=15) and autopsy renal sections from patients with normal kidneys (n=4), CKD (n=17) or CKD+HF (n=14) were examined (H&E, Masson’s trichrome and CD-68 and Gal-3 immunohistochemistry). In the systolic HF patients, we quantified the number of Gal-3+/CD-68+ cells per HPF in LV tissue and assessed the correlation with plasma Gal-3 levels. In autopsy renal tissue, we derived a Composite Gal-3 Score (CG3S) incorporating the % of Gal-3+ tubules per HPF, % of Gal-3+ cells/tubule per HPF, and intensity of Gal-3 staining and assessed the correlation of the CG3S with ante-mortem estimated glomerular filtration rate(eGFR). Renal macrophage Gal-3 staining was also assessed. Results: In systolic HF LV tissue, Gal-3 was present in macrophages rather than myocytes but Gal-3+/CD-68+ cells per HPF was not correlated with plasma Gal-3 levels (p> 0.9) which correlated inversely with eGFR (r = -0.89 for log Gal-3 vs eGFR, p<0.0001). In the kidney, Gal-3 was not present in macrophages but was localized to renal tubular cells (Figure). The CG3S increased exponentially as eGFR decreased (r = - 0.88 for log CG3S versus eGFR; p<0.0001) and this relationship was not different (p=0.44) in patients with or without HF (Figure). The log CG3S correlated with the degree of fibrosis (tubulointerstitial scarring) in the kidney (r=0.88; p<0.0001). Conclusion: Collectively, these data suggest that plasma Gal-3 is predominantly of renal tubular epithelial origin in human HF, CKD, and CKD+HF.
A Higher Foci Density of Interstitial Fibrosis and Tubular Atrophy Predicts Progressive CKD after a Radical Nephrectomy for Tumor
Ricaurte, Luisa , Đenić, Aleksandar , Narasimhan, Ramya , Bogojevic, Marija , Thompson, R. Houston, Leibovich, Bradley C. , Sangaralingham, S. Jeson , Alexander, Mariam P., Ricaurte Archila, Luisa, Narasimhan, Ramya , Rule, Andrew D , Denic, Aleksandar , Mullan, Aidan F. , Sangaralingham, S. Jeson , Smith, Maxwell L. , Rule, Andrew D.

Journal of the American Society of Nephrology | June 18, 2021 | Volume: 32 | Issue: 10 | Pages: 2623-2633

10.1681/asn.2021020267 | PMID 34531177 Get It

Significance Statement A higher percentage of the kidney cortex area that exhibits interstitial fibrosis/tubular atrophy (IF/TA) is a feature of poor prognosis on biopsy. This study describes IF/TA density (the number of IF/TA foci per area of cortex) and shows it predicts progressive CKD, independent of both percentage IF/TA and clinical characteristics among patients who have undergone nephrectomy. Other patterns of IF/TA and inflammation were not predictive for progressive CKD and mortality beyond percentage IF/TA and clinical characteristics. At the same percentage IF/TA, a higher IF/TA density suggests more scattered and widespread damage to the nephrons, with a worse kidney prognosis. This information may be helpful for accurate interpretation of the severity of “chronic changes” observed on a kidney biopsy. Background Chronic tubulointerstitial injury on kidney biopsy is usually quantified by the percentage of cortex with interstitial fibrosis/tubular atrophy (IF/TA). Whether other patterns of IF/TA or inflammation in the tubulointerstitium have prognostic importance beyond percentage IF/TA is unclear. Methods We obtained, stained, and digitally scanned full cortical thickness wedge sections of renal parenchyma from patients who underwent a radical nephrectomy for a tumor over 2000–2015, and morphometrically analyzed the tubulointerstitium of the cortex for percentage IF/TA, IF/TA density (foci per mm 2 cortex), percentage subcapsular IF/TA, striped IF/TA, percentage inflammation (both within and outside IF/TA regions), and percentage subcapsular inflammation. Patients were followed with visits every 6–12 months. Progressive CKD was defined as dialysis, kidney transplantation, or 40% decline from the postnephrectomy eGFR. Cox models assessed the risk of CKD or noncancer mortality with morphometric measures of tubulointerstitial injury after adjustment for the percentage IF/TA and clinical characteristics. Results Among 936 patients (mean age, 64 years; postnephrectomy baseline eGFR, 48 ml/min per 1.73m 2 ), 117 progressive CKD events and 183 noncancer deaths occurred over a median 6.4 years. Higher IF/TA density predicted both progressive CKD and noncancer mortality after adjustment for percentage IF/TA and predicted progressive CKD after further adjustment for clinical characteristics. Independent of percentage IF/TA, age, and sex, higher IF/TA density correlated with lower eGFR, smaller nonsclerosed glomeruli, more global glomerulosclerosis, and smaller total cortical volume. Conclusions Higher density of IF/TA foci (a more scattered pattern with more and smaller foci) predicts higher risk of progressive CKD after radical nephrectomy compared with the same percentage of IF/TA but with fewer and larger foci.
Mass Spectrometric Analysis of Urine from COVID-19 Patients for Detection of SARS-CoV-2 Viral Antigen and to Study Host Response
Mangalaparthi, Kiran K. , Singh, Smrita , Renuse, Santosh , Vanderboom, Patrick M. , Madugundu, Anil K. , Budhraja, Rohit , McAulay, Kathrine , Alexander, Mariam P., Badley, Andrew D. , Pandey, Akhilesh , Chavan, Sandip , Madugundu, Anil Kumar, Grys, Thomas E. , O'Horo, John C, Pandey, Akhilesh , Pandey, Akhilesh , Badley, Andrew D , Rule, Andrew D. , O’Horo, John C.

Journal of Proteome Research | June 3, 2021 | Volume: 20 | Issue: 7 | Pages: 3404-3413

10.1021/acs.jproteome.1c00391 | PMID 34077217 Get It

Abstract 15686: Early Intervention versus Conservative Management for Asymptomatic Severe Aortic Stenosis: An Updated Systematic Review and Meta-analysis
Shah, Palak, Adalja, Devina , Thourani, Vinod H. , Kumar, Ashish , Majmundar, Monil , Doshi, Rajkumar , Kansara, Tikal Mukesh , Shariff, Mariam , Vallabhajosyula, Saraschandra , Panaich, Sidakpal

Circulation | May 10, 2021 | Volume: 142 | Issue: Suppl_3 | Pages: No page available

10.1161/circ.142.suppl_3.15686 Get It

Introduction: The management of asymptomatic severe aortic stenosis (AS) is controversial and guidelines for the management of the same is not updated based on recently available evidence. Hypothesis: The main objective is to determine the optimal strategy for the management of asymptomatic severe AS between early intervention versus conservative management. Methods: We performed a systematic electronic search of the PubMed and Cochrane databases from the inception of the database to May 31 st , 2020. We used the Mantel Haenszel method with the Paule-Mandel estimator of Tau 2 and Hartung-Knapp adjustment to calculate relative risk (RR) with a 95% confidence interval (CI) and 95% prediction interval (PI). We used P curve analysis to assess publication bias and estimate the true effect of an intervention. All analysis was carried out using R version 3.6.2. Results: A total of seven studies were included in the final analysis, consisting of 1213 patients with early intervention and 2601 patients with conservative management. Early intervention as compared to conservative management was associated with reduced risk of all-cause mortality (RR: 0.32, 95% CI: 0.21-0.48) (Panel A) , cardiac mortality (RR: 0.36, 95% CI: 0.27-0.48) (Panel B) and non-cardiac mortality (RR: 0.40, 95% CI: 0.28-0.56) (Panel C) . There was no difference in the risk of sudden cardiac death (RR: 0.46, 95% CI: 0.15-1.40), stroke (RR: 0.79, 95% CI: 0.17-3.64), myocardial infarction (RR: 0.44, 95% CI: 0.01-16.82) or heart failure hospitalization (RR: 0.18, 95% CI: 0.01-5.29) between the groups. The pooled estimate for all the outcomes was associated with low-moderate heterogeneity. Conclusions: Among asymptomatic severe AS patients, early intervention is associated with reduced mortality without increasing any procedure-related clinical outcomes. Hence, this meta-analysis supports early intervention as opposed to watchful waiting for the management of asymptomatic severe AS.