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Allele-specific vitamin D receptor binding is associated with pediatric-onset multiple sclerosis
Yilmaz, Defne , Adams, Cameron , Francisco, Carla , Rutatangwa, Alice , Quach, Hong , Quach, Diana , Aaen, Gregory , Lotze, Timothy , Mar, Soe , Ness, Jayne , Wheeler, Yolanda , Gorman, Mark , Schreiner, Teri , Tillema, Jan-Mendelt , Rose, John , Casper, T. Charles , Barcellos, Lisa F. , Edwards, Alice Rutatangwa , Benson, Leslie A , Weinstock‐Guttman, Bianca , Schreiner, Teri , Rensel, Mary R. , Horton, Mary , Graves, Jennifer , Benson, Leslie , Waldman, Amy , Tillema, Jan‐Mendelt , Chitnis, Tanuja , Waubant, Emmanuelle L.

Multiple Sclerosis Journal – Experimental, Translational and Clinical | May 27, 2025 | Volume: 11 | Issue: 2 | Pages: No page available

10.1177/20552173251335625 | PMID 40438528 Get It

Background and Objectives The genetic basis of adult-onset multiple sclerosis (MS) is well-studied, but less is known about pediatric-onset MS (pedMS), comprising approximately 5% of all MS onsets. Mendelian randomization (MR) studies have demonstrated evidence for a causal association between MS and both 25-hydroxyvitamin D [25(OH)D] serum levels and genetic variation related to vitamin D receptor (VDR) binding. The objective was to identify whether VDR binding variants (VDR-BVs) previously implicated in adult-onset MS were associated with pedMS using genetic instrumental variables (GIVs). Methods Using previously identified VDR-BVs to construct individual GIVs with two-sample MR, we investigated associations with pedMS in 725 cases and 592 controls of European ancestry from the US Network of Pediatric MS Centers. Associations between each VDR-BV and pedMS were estimated using logistic regression adjusting for the first three genome-wide principal components. A significant interaction between a VDR-BV and 25(OH)D GIV provided evidence for a causal association unbiased by pleiotropy. Results One VDR-BV, rs2531804, previously associated with adult-onset MS, was also significantly associated with pedMS after multiple testing correction. Discussion This study is the first to use VDR-BVs from previous MR studies to demonstrate causal differences in VDR binding at a locus contributing to pedMS susceptibility.
Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage
Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari, Stark, Benjamin, Johnson, Catherine O., Kaprio, Jaakko , Korja, Miikka, Krishnamurthi, Rita , Nair, Balakrishnan , Vergouwen, Mervyn D. I. , Abdelkader, Atef , Abdullahi, Auwal , Abualruz, Hasan , Abukhadijah, Hana J , Adamu, Lawan Hassan, Adegboye, Oyelola A. , Adzigbli, Leticia Akua, Agyemang‐Duah, Williams , Ahinkorah, Bright Opoku, Ahmad, Aqeel , Ahmad, Danish , Ahmadzade, Amir Mahmoud , Akkaif, Mohammed Ahmed , Ali, Mohammed Usman, Alif, Sheikh Mohammad , Alimohamadi, Yousef, Alsabri, Mohammed , Altaf, Awais , Alvis‐Guzmán, Nelson , Alwafi, Hassan , Al‐Wardat, Mohammad , Alyahya, Mohammad S. , Amin, Tarek Tawfik , Amindarolzarbi, Alireza , Amusa, Ganiyu , Angappan, Dhanalakshmi , Anuoluwa, Boluwatife Stephen, Anwar, Saleha, Anyasodor, Anayochukwu Edward , Apostol, Geminn Louis Carace, Areda, Demelash, Artamonov, Anton A, Artanti, Kurnia Dwi , Ashemo, Mubarek Yesse , Athar, Mohammad , Aujayeb, Avinash , Awotidebe, Adedapo Wasiu , Azadnajafabad, Sina , Aziz, Shahkaar , Bagheri, Nasser , Taqanaki, Pegah Bahrami , Bahramian, Saeed , Bai, Ruhai , Baig, Atif Amin , Baltatu, Ovidiu Constantin , Bam, Kiran, Barker‐Collo, Suzanne , Bärnighausen, Till , Bastan, Mohammad‐Mahdi , Basu, Sanjay , Bell, Shelly L, Benseñor, Isabela M , Berhie, Alemshet Yirga , Bhagavathula, Akshaya Srikanth , Bhaskar, Sonu , Bhat, Ajay Nagesh, Bhat, Vivek , Birhan, Mekuriaw Mesfin , Borhany, Hamed, Breitner, Susanne , Bulamu, Norma B. , Butt, Zahid A , Cabral, Lucas Scotta , Santos, Florentino Luciano Caetano dos , Cámera, Luis Alberto , Capodici, Angelo , Chadwick, Joshua , Chakraborty, Promit Ananyo , Chanie, Gashaw Sisay , Chattu, Vijay Kumar , Chi, Gerald, Chichagi, Fatemeh , Columbus, Alyssa , Criqui, Michael H, Ohadi, Mohammad Amin Dabbagh , Dadras, Omid , Dalli, Lachlan L. , Debopadhaya, Shayom , Dervišević, Emina , Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman , Dhane, Amol S. , Chi, Thanh, Phuong, Thao Huynh, Dohare, Sushil , Докова, Клара , Dowou, Robert Kokou , Dsouza, Haneil Larson , Dutta, Siddhartha , Dziedzic, Arkadiusz , E’mar, Abdel Rahman, Edvardsson, David , Efendi, Ferry, Nahas, Nevine El , Elgendy, Islam Y. , Eltaha, Chadi, Emeto, Theophilus I. , Fakhradiyev, Ildar , Faris, Pawan , Fauk, Nelsensius Klau , Fazylov, Timur, Fekadu, Ginenus , Fetensa, Getahun, Fischer, Florian, Foschi, Matteo , Fridayani, Ni Kadek Yuni, Gaipov, Abduzhappar , Gajjar, Avi A. , Ganesan, Balasankar , Gebregergis, Miglas Welay, Gebremeskel, Teferi Gebru , Getie, Molla , Ghadirian, Fataneh , Ghasemzadeh, Afsaneh , Gholamalizadeh, Maryam , Gil, Artyom , Goleij, Pouya , Goulart, Alessandra C. , Goulart, Bárbara Niegia Garcia de , Guan, Shi‐Yang , Gupta, Sapna , Habibzadeh, Farrokh , Hadi, Najah R, Hankey, Graeme J. , Harlianto, Netanja I. , Hasani, Hamidreza, Hasnain, Md Saquib , Haubold, Johannes , Havmoeller, Rasmus, Hay, Simon I , Hbid, Youssef , Heidari, Golnaz , Hiraike, Yuta, Hoan, Nguyen Quoc , Hosseinzadeh, Mehdi , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ikiroma, Adalia , Isola, Gaetano , Iwagami, Masao , Jacob, Louis, Jain, Akhil, Jakovljević, Mihajlo , Jatau, Abubakar Ibrahim , Jawaid, Talha, Jayapal, Sathish Kumar , Jonas, Jost B, Joseph, Nitin , Jürisson, Mikk , Kadashetti, Vidya, Kalani, Rizwan, Kamireddy, Arun , Kandel, Himal , Behnagh, Arman Karimi , Kashoo, Faizan , Kayode, Gbenga A , Kazemi, Foad , Khader, Yousef , Khaing, Inn Kynn , Khan, Fayaz Ahmad , Khan, Mohammad Jobair , Kashani, Hamid Reza Khayat , Khosla, Atulya Aman , Kim, Kwanghyun , Kim, Yun Jin , Korzh, Oleksii , Krishan, Kewal , Krishna, Varun, Krishnamoorthy, Vijay , Kuddus, Mohammed , Kulimbet, Mukhtar , Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Laksono, Tri, Lallukka, Tea , Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao T. , Lee, Munjae , Lee, Yo Han , Lenzi, Jacopo , Leonardi, Matilde, Li, Ming‐Chieh , Li, Xiaopan , Lim, Stephen S , Lin, Jialing , Saute, Ricardo Lutzky , Malik, Ahmad Azam , Marateb, Hamid Reza , Maroufi, Seyed Farzad , Maugeri, Andrea , McPhail, Steven , Mehndiratta, Man Mohan, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege , Miazgowski, Tomasz , Minervini, Giuseppe , Mithra, Prasanna , Mohamed, Abdalla Z. , Mohammad, Ameen Mosa , Mohammed, Shafiu , Moni, Mohammad Ali , Moradi, Yousef, Moraga, Paula , Morawska, Lídia , Munjal, Kavita , Murray, Christopher J L , Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R. , Najdaghi, Soroush , Davani, Delaram Narimani , DELETE-ME, Nawsherwan, Nazri-Panjaki, Athare , Negoi, Ruxandra Irina , Nematollahi, Soroush , Nguyen, Hau Thi Hien, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan , Nguyễn, Văn Thành , Niazi, Robina Khan, Nikoobar, Ali , Sá, Antonio Tolentino Nogueira de , Nomura, Shuhei , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ojo-Akosile, Tolulope R, Oliveira, Gláucia Maria Moraes de , Olorukooba, Abdulhakeem Abayomi , Osuagwu, Uchechukwu Levi , Ouyahia, Amel, A, Mahesh Padukudru P, Panagiotakos, Demosthenes B. , Parikh, Romil R., Park, Seoyeon , Pedersini, Paolo , Peprah, Emmanuel , Perico, Norberto, Petermann-Rocha, Fanny Emily, Plotnikov, Evgenii , Полибин, Р. В. , Postma, Maarten J. , Prasad, Manya , Qian, Gangzhen , Rahmanian, Mohammad , Rajaa, Sathish , Rajput, Prashant , Ramadan, Mahmoud M. , Rane, Amey, Rashidi, Mohammad‐Mahdi , Razo, Christian , Reddy, Murali Mohan Rama Krishna, Remuzzi, Giuseppe, Rezaei, Negar , Rezaeian, Mohsen , Rocha, Hermano Alexandre Lima , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo , Romoli, Michele, Romozzi, Marina, Roy, Nitai , Saddik, Basema Ahmad, Sahoo, Pragyan Monalisa , Salaroli, Luciane Bresciani , Samuel, Vijaya Paul, Samy, Abdallah M , Santric-Milicevic, Milena M., Saravanan, Aswini, Schlaich, Markus P. , Sethi, Yashendra , Seylani, Allen, Shaaban, Ahmed Nabil , Shafie, Mahan , Shaikh, Summaiya Zareen , Shamsutdinova, Alfiya, Sharifan, Amin , Rad, Javad Sharifi, Sharma, Vishal, Shashamo, Bereket Beyene , Shetty, Premalatha K, Shigematsu, Mika, Shorofi, Seyed Afshin, Singh, Paramdeep , Singh, Puneetpal , Singh, Surjit , Sobia, Farrukh , Solanki, Shipra, Soraneh, Soroush , Spartalis, Michael, Srinivasamurthy, Suresh Kumar , Stanikzai, Muhammad Haroon , Sun, Zhong , Swain, Chandan Kumar , Damavandi, Payam Tabaee , Tabatabaeizadeh, Seyed-Amir, Tabche, Celine , Taiba, Jabeen , Tamuzi, Jacques Lukenze , Tan, Ker‐Kan , Teramoto, Masayuki , Thakur, Ramna, Thankappan, Kavumpurathu Raman , Thayakaran, Rasiah , Thirunavukkarasu, Sathish, Ticoalu, Jansje Henny Vera, Tiwari, Krishna Raj , Tonelli, Marcello , Topór-Mądry, Roman , Tovani-Palone, Marcos Roberto Roberto, Tran, Jasmine, Tran, Thang Huu , Duc, Nguyen Tran Minh , Truelsen, Thomas Clement, Unim, Brigid, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj , Eynde, Jef Van den , Vladimirov, Sergey Konstantinovitch , Waheed, Yasir, Wahood, Waseem , Walde, Mandaras Tariku, Wang, Yanzhong , Wickramasinghe, Nuwan Darshana , Wolfe, Charles D. A., Wubie, Yihun Miskir, Xiao, Hong , Xu, Xiaoyue , Yano, Yuichiro , Yarahmadi, Amir , Ye, Pengpeng, Yon, Dong Keon , Zanghì, Aurora , Zare, Iman, Zastrozhin, Michael, Zhang, Zhi-Jiang , Zhang, Zhiqiang , Zhang, Zhiqiang, Zhao, Hanqing , Zhou, Shang Cheng, Zhumagaliuly, Abzal , Zia, Hafsa, Roth, Gregory A., Topór‐Mądry, Roman , Oliveira, Arão Belitardo , Rahim, Fakher , Saddik, Basema , Waheed, Yasir , Liu, Xuefeng , Zhang, Yunquan , Ozair, Ahmad , Buendía, Jefferson Antonio , Korja, Miikka , Baig, Atif Amin , Shanawaz, Mohd , Elgendy, Islam Y , Hankey, Graeme J , Alif, Sheikh M , Rezaei, Negar , Bhagavathula, Akshaya Srikanth , Van den Eynde, Jef , Ozair, Ahmad , Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari Matias , Volovici, Victor , Ranta, Annemarei , Rinkel, Gabriël J.E. , Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat , Abd-Allah, Foad , Abdi, Parsa , Abdollahi, Arash , Abiodun, Olugbenga Olusola , Aboagye, Richard Gyan , Abouzid, Mohamed , Abtahi, Dariush , Abu‐Rumeileh, Samir , Abualhasan, Ahmed , Abu‐Zaid, Ahmed , Addo, Isaac Yeboah , Adedoyin, Rufus Adesoji , Adra, Saryia , Ahinkorah, Bright Opoku , Ahmed, Ali , Ahmed, Haroon , Ahmed, Syed Anees , Aji, Budi , Al‐Ajlouni, Yazan A. , Al‐Aly, Ziyad , ALBashtawy, Mohammed , Aljunid, Syed Mohamed , Alomari, Mahmoud A. , Alrawashdeh, Ahmad , Alsabri, Mohammed A., Salman, Rustam Al‐Shahi , Al‐Tammemi, Ala’a B. , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Alzoubi, Karem Hasan , Amani, Reza, Anderlini, Deanna , Anil, Abhishek , Arabloo, Jalal , Ärnlöv, Johan , Arumugam, Ashokan , Aryan, Zahra , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Athari, Seyyed Shamsadin , Azzam, Ahmed Y , Babu, Giridhara R. , Bako, Abdulaziz Tijjani , Banach, Maciej , Bandyopadhyay, Soham , Banik, Biswajit , Bardhan, Mainak , Barqawi, Hiba Jawdat , Barua, Lingkan , Beyene, Kebede Abera , Bhat, Vivek, Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Bijani, Ali , Bikbov, Boris , Birhanu, Mulugeta Molla , Bitra, Veera Raghavulu , Boloor, Archith , Brenner, Hermann , Bugiardini, Raffaele , Călina, Daniela Cornelia , Campos, Luciana Aparecida , Campos‐Nonato, Ismael , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catapano, Alberico Luigi , Cegolon, Luca , Chakraborty, Chiranjib , Chakraborty, Sandip , Chandika, Rama Mohan , Chaudhary, Anis Ahmad , Chi, Gerald , Ching, Patrick R , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chowdhury, E. , Chu, Dinh‐Toi , Chung, Sheng‐Chia , Silva, Alanna Gomes da , Dai, Xiaochen , Dalal, Koustuv , D’Amico, Emanuele , Dashti, Mohsen , Davletov, Kairat , Cruz-Góngora, Vanessa Vianey De la , Delgado‐Enciso, Iván , Devanbu, Vinoth Gnana Chellaiyan, Dibas, Mahmoud , Doheim, Mohamed Fahmy , Dongarwar, Deepa , D’Oria, Mario , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Efendi, Defi , Efendi, Ferry , Elhadi, Muhammed , Eltahir, Mohd. Elmagzoub , Fabin, Natalia , Fagbamigbe, Adeniyi Francis , Fahim, Ayesha , Fares, Jawad , Ferreira, Nuno Bravo , Gandhi, Aravind P. , Garg, Ravindra Kumar , Gebrehiwot, Mesfin , Ghadimi, Delaram J. , Ghahramani, Sulmaz , Ghazy, Ramy Mohamed , Ghozy, Sherief , Gilani, Jaleed Ahmed , Gnedovskaya, Elena V. , Hadei, Mostafa , Hamidi, Samer , Hanifi, Nasrin , Haro, Josep María , Hasan, Faizul , Tabatabaei, Mahgol Sadat Hassan Zadeh , Heidari, Mohammad , Hemmati, Mehdi , Holla, Ramesh , Hostiuc, Sorin , Huang, Junjie , Huynh, Hong-Han , Ikeda, Nayu , Ilaghi, Mehran , Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Islam, Md. Rabiul , Ismail, Nahlah Elkudssiah , Iso, Hiroyasu , Jafarzadeh, Abdollah , Jairoun, Ammar Abdulrahman , Kalani, Rizwan, Kamal, Vineet Kumar , Kanchan, Tanuj , Karami, Jafar , Karaye, Ibraheem M. , Karimi, Yeganeh , Kesse‐Guyot, Emmanuelle , Khan, Fayaz, Khatatbeh, Haitham , Khatatbeh, Moawiah Mohammad , Kheirallah, Khalid Ahmed , Khidri, Feriha Fatima , Khormali, Moein , Kısa, Adnan , Kısa, Sezer , Kivimäki, Mika , Kolahi, Ali‐Asghar , Kompani, Farzad , Kostev, Karel , Kothari, Nikhil , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kusuma, Dian Palupi , Kytö, Ville , Vecchia, Carlo La , Lahariya, Chandrakant , Latief, Kamaluddin , Lee, Seung Won , Lee, Wei‐Chen , Leonardi, Matilde, Liu, Xuefeng , Lohner, Valerie , Lorenzovici, László , Lotufo, Paulo A. , Lucchetti, Giancarlo , Lusk, Jay B. , Amin, Hawraz Ibrahim M. , Malhotra, Armaan Kush , Malhotra, Kashish , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Mantovani, LG , Manu, Emmanuel, Marino, Mirko , Martínez, Ramón , Martini, Santi , Martorell, Miquel , Marzo, Roy Rillera , Mathangasinghe, Yasith , Mathews, Elezebeth , Mehmood, Asim , Mehrabani-Zeinabad, Kamran , Menezes, Ritesh G. , Meo, Sultan A , Meretoja, Atte , Meštrović, Tomislav , Sá, Ana Carolina Micheletti Gomide Nogueira de , Minh, Le Huu Nhat , Mirică, Andreea , Мirrakhimov, Erkin М , Mirza‐Aghazadeh‐Attari, Mohammad , Mishra, Ajay Kumar , Mohamed, Ahmed Ismail , Mohammadi, Soheil , Mohammadian-Hafshejani, Abdollah , Mokdad, Ali H. , Molinaro, Sabrina , Momani, Shaher , Ghalibaf, AmirAli Moodi , Moradi, Maryam , Msherghi, Ahmed A.A. , Ansari, Noureddin Nakhostin , Nargus, Shumaila , Natto, Zuhair S. , Nauman, Javaid , DELETE-ME, Nawsherwan, Nayak, Vinod C , Newton, Charles R. , Nigatu, Yeshambel T. , Noubiap, Jean Jacques , Nugen, Fred , Oduro, Michael Safo , Okati‐Aliabad, Hassan , Okeke, Sylvester Reuben , Okekunle, Akinkunmi Paul , Olagunju, Andrew T , Olaiya, Muideen Tunbosun , Olufadewa, Isaac Iyinoluwa , Ornello, Raffaele , Ortiz‐Prado, Esteban , Ouyahia, Amel , Owolabi, Mayowa , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Leonidas D , Pantazopoulos, Ioannis N. , Parikh, Romil R., Patel, Jay , Patel, Urvish , Patoulias, Dimitrios , Pereira, Gavin F , Perianayagam, Arokiasamy , Perna, Simone , Petermann‐Rocha, Fanny , Philip, Anil K. , Пирадов, М. А. , Pradhan, Jalandhar , Puvvula, Jagadeesh , Qasim, Nameer Hashim , Raggi, Alberto , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rahmani, Amir Masoud , Sanati, Ali Rajabpour , Ramasamy, Shakthi Kumaran , Ramazanu, Sheena , Rathish, Devarajan , Rawaf, Salman , Redwan, Elrashdy M , Remuzzi, Giuseppe , Romoli, Michele, Romozzi, Marina , Ross, Allen Guy , Rout, Himanshu Sekhar , Roy, Priyanka , Saad, Aly M A , Saadatian, Zahra , Sabour, Siamak , Sacco, Simona , Sadeghi, Erfan , Saeed, Usman, Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajib, Md Refat Uz Zaman , Saleh, Mohamed A. , Samodra, Yoseph Leonardo , MİLİCEVİC, Milena Santric, Saravanan, Aswini , Sarkar, Tanmay, Sarode, Sachin Chakradhar , Sartorius, Benn , Satpathy, Maheswar , Schneider, Ione Jayce Ceola , Schuermans, Art , Selvaraj, Siddharthan , Senthilkumaran, Subramanian , Sepanlou, Sadaf Ghajarieh , Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shannawaz, Mohammed , Rad, Javad Sharifi, Sharma, Vishal , Shittu, Aminu , Shiue, Ivy , Shlobin, Nathan A. , Siddig, Emmanuel Edwar , Spartalis, Michael , Stanaway, Jeffrey D , Starodubova, Antonina Vladimirovna , Szarpak, Łukasz , Tabatabaeizadeh, Seyed‐Amir , Tabatabaeizadeh, Seyed-Amir, Talaat, Iman Mamdouh , Temsah, Mohamad‐Hani , Thakur, Ramna , Thirunavukkarasu, Sathish, Tiwari, Krishna, Truyen, Thien Tan Tri Tai , Tsai, Daniel Hsiang‐Te , Ullah, Atta , Unnikrishnan, Bhaskaran , Unsworth, Carolyn Anne, Usman, Jibrin Sammani , Valizadeh, Rohollah , Varghese, Joe , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vervoort, Dominique , Villafañe, Jorge Hugo , Vinayak, Manish , Wafa, Hatem A , Walde, Mandaras Tariku, Willeit, Peter , Wolfe, Charles D.A. , Wolfe, Charles D. A., Yamagishi, Kazumasa , Yaribeygi, Habib , Yaya, Sanni , Ye, Pengpeng, Yonemoto, Naohiro , Yu, Chuanhua , Zastrozhin, Michael, Zhang, Chen , Zhang, Zhiqiang, Zielińska, Magdalena , Zyoud, Samer H. , Roth, Gregory A. , Feigin, Valery L. , Kulimbet, Mukhtar , Rahim, Fakher

JAMA Neurology | May 23, 2025 | Volume: 82 | Issue: 8 | Pages: 765

10.1001/jamaneurol.2025.1522 | PMID 40406922 Get It

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.
Novel Benchmark for Robotic Liver Resection – Bridging Tradition with Innovation
Pfister, Matthias , Ma, Yong , Yang, Guangchao, Li, Linqiang , Song, Xuan , Venezia, Raphael, Jeddou, Heithem , Floc’h, Bastien Le, Valverde, A. , Péru, N. , Pessaux, Patrick, Salloum, Chady , Blanc, P., Scatton, Olivier , Tzedakis, Stylianos , Fuks, David , Chaoui, Ismaël, Silva, Silvia Gomes da, Sobral, M., Centonze, Leonardo , Zhu, Zhu , Ratti, Francesca, Rompianesi, Gianluca , Shah, Jimmy, Wakabayashi, Taiga , Coelho, Fabrício Ferreira , Castillo‐Flores, Samy , Viti, Virginia, Boggi, Ugo , Han, Ho-Seong, Panaro, Fabrizio , Wakabayashi, Go, Ielpo, Benedetto , Mejia, Alejandro , Troisi, Roberto I., Choi, Gi Hong , Liu, Rong , Sucandy, Iswanto, Rela, Mohamed , D’Hondt, Mathieu , Bröering, Dieter C. , Clavien, Pierre‐Alain , Li, Zhihao , Dong, Yawen , Clavien, Pierre-Alain , Centonze, Leonardo , Li, Zhihao , Li, Zhihao, Raptis, Dimitri , Song, Xuan, Millet, Guillaume, Truant, Stéphanie , Venezia, Raphael, Pessaux, Patrick , Giannone, Fabio , Mabrut, Jean‐Yves , Mohkam, Kayvan , Cunha, António Sá , Roy, Bertrand Le , Goumard, Claire , Fuks, David , Rammohan, Ashwin , Silva, Silvia Gomes da, López‐López, Víctor , Ratti, Francesca, Marino, Rebecca , Müller, Philip C , Lee, Bo Ram , Kato, Yutaro , Polanco, Patricio Marcelo , Goh, Brian K P , Cheung, Tan To , Efanov, Mikhail G. , Machado, Marcel Cerqueira César , Herman, Paulo , Müller-Stich, Beat Peter , Starlinger, Patrick , Martinie, John B. , Aldrighetti, Luca , Chen, Guodong , Robles, R , Benedetto, Fabrizio Di , Marques, Hugo P. , Sucandy, Iswanto , Brustia, Raffaele , Soubrane, Olivier

Annals of Surgery | May 20, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/sla.0000000000006759 | PMID 40391433 Get It

Objective: To establish benchmark cutoffs for robotic liver resection (R-LR), encompassing both major and minor resections, and to determine the impact of patient selection on outcomes. Background: R-LR is a key advancement in minimally invasive liver surgery but lacks standardized benchmarks, especially for minor resections. While guidelines endorse R-LR, its role in optimizing outcomes remains unclear. This study establishes the first benchmarks for R-LR, enabling comparisons across surgical modalities and refining patient selection. Methods: This retrospective, multicenter study analyzed consecutive adult patients undergoing R-LR at 30 international centers (2020–2023). Benchmark centers had an annual case volume of ≥15 R-LR. Benchmark criteria included ASA ≤2, no major comorbidities, no prior liver resections, and Child-Pugh A status. Benchmark cutoffs for 14 key outcomes were set at the 50th and 75th percentiles of median values across benchmark centers. Multivariable logistic regression identified predictors of textbook outcomes. Results: Eighteen high-volume centers contributed 4028 cases with 2632 (65.3%) meeting benchmark criteria. Malignancy was the indication in 29.6%, most commonly hepatocellular carcinoma followed by colorectal liver metastases. Major liver resection was performed in 42.6%. The distribution of Iwate difficulty scores was low (25.4%), intermediate (53.9%), advanced (15.9%), and expert (4.9%). Benchmark cutoffs were established for minor and major resection, and stratified by Iwate low (0-3), intermediate (4-6) and high (7-12): Open conversion (≤6.5% minor, ≤10.5% major), major complications within 90 days (≤5.2% minor, ≤16.7% major), R1 resection (≤9.2% minor, ≤6.7% major). Benchmark cases performed at low-volume centers were able to achieve outcomes within the corresponding benchmark cutoffs. In fact, patient selection reflected by the proportion of benchmark patients, rather than case volume, was associated with textbook outcomes. Conclusions: This study defines R-LR benchmarks, emphasizing patient selection over center volume for optimal outcomes. Benchmark cutoffs guide training and support the expansion of R-LR.
Factors associated with reaching maintenance therapy in patients with advanced biliary tract cancer treated with durvalumab: Real‐world results from a multicenter and multinational study
Rimini, Margherita , Fornaro, Lorenzo , Prinzi, Federica Lo , Saborowski, Anna , Antonuzzo, Lorenzo , Rossari, Federico , Satake, Tomoyuki, Peeters, Frederik , Vivaldi, Caterina , Pressiani, Tiziana , Finkelmeier, Fabian , Pircher, Chiara , Chon, Hong Jae , Braconi, Chiara , Qaisar, Aitzaz, Pirrone, Chiara, Castet, Florian , Parisi, Alessandro , Scartozzi, Mario, Perkhofer, Lukas , Adeva, Jorge , Spinelli, Gian Paolo , Rodriquenz, Maria Grazia , Leo, Silvana, Alvim, Cecilia Melo, Roque, Ricardo , Salani, Francesca , Rosa, Antonio De, Lavacchi, Daniele, Dekervel, Jeroen , Balsano, Rita , Corallo, Salvatore , Esposito, Luca, Boccaccino, Alessandra , Vitiello, Francesco , Himmelsbach, Vera, Tesini, Giulia , Vogel, Arndt, Rimassa, Lorenza , Casadei‐Gardini, Andrea , Vogel, Arndt , Rossari, Federico , Vivaldi, Caterina , Abidoye, Oluseyi , Prager, Gerald W , Niger, Monica , Casadei-Gardini, Andrea , Antonuzzo, Lorenzo , Parisi, Alessandro , Corallo, Salvatore , Finkelmeier, Fabian , Castet, Florian , Adeva, Jorge , Tesini, Giulia , Rimassa, Lorenza , Casadei-Gardini, Andrea , Saborowski, Anna , Pressiani, Tiziana , Jae Chon, Hong , Roque, Ricardo , Salani, Francesca , De Rosa, Antonio , Dekervel, Jeroen , Vogel, Arndt , Rimini, Margherita , Fornaro, Lorenzo , Lucchetti, Jessica , Kim, Jin Won , Rapposelli, Ilario Giovanni , Tamberi, Stefano , Giordano, Guido , Tamburini, Emiliano , Yoo, Changhoon , Diana, Anna , Scartozzi, Mario , Prager, Gerald W. , Avallone, Antonio , Schirripa, Marta , Kim, Il Hwan , Oneda, Ester , Verrico, Monica , Couto, Nuno , Chan, Stephen L. , Personeni, Nicola , Garajova, Ingrid , Farinea, Giovanni , Camera, Silvia , Ikeda, Masafumi , Niger, Monica , Tonini, Giuseppe , Kang, Minsu , Bekaii‐Saab, Tanios , Landriscina, Matteo , Djaballah, Selma Ahcene , Masi, Gianluca , Lonardi, Sara

International Journal of Cancer | May 19, 2025 | Volume: 157 | Issue: 6 | Pages: 1246-1259

10.1002/ijc.35481 | PMID 40387725 Get It

AbstractStandard of care first‐line systemic treatment for advanced biliary tract cancer includes chemo‐immunotherapy with gemcitabine, cisplatin, and durvalumab, followed by maintenance durvalumab monotherapy. The present work aims to investigate the differences in baseline clinical and molecular characteristics between patients with early progression during chemo‐immunotherapy and those who reach durvalumab maintenance therapy. The study population included patients with unresectable, locally advanced, or metastatic BTC who received treatment at 38 clinical Institutions in 12 countries from July 2021 to December 2023. The primary objective of the study was to investigate whether baseline clinical and molecular characteristics differed between patients with early progression during chemo‐immunotherapy versus those reaching durvalumab maintenance therapy. Four hundred forty‐eight patients were included in this study. Two hundred twenty‐seven patients (50.7%) received maintenance with durvalumab monotherapy, whereas 221 (49.3%) did not receive maintenance therapy due to PD during first‐line chemo‐immunotherapy before completing 8 cycles. Results show that patients who received maintenance were more likely to be older (≥70 years), have an ECOG = 0, locally advanced disease, and a neutrophil‐to‐lymphocyte ratio (NLR) <3. A higher proportion of patients with BAP1 mutations received maintenance, while TP53 mutations were more common in those who progressed early. According to the present analysis, a substantial proportion of patients (50.7%) with advanced BTC who were treated with chemotherapy plus durvalumab proceeded to receive maintenance therapy with durvalumab monotherapy, with a median treatment duration of 4.4 cycles. Patients ≥70 years, with ECOG PS 0, with locally advanced disease, and with NLR <3 had a higher likelihood of receiving maintenance therapy.
Expert Strategies: Skull Base Reconstruction—Global Perspectives, Insights, and Algorithms through a Mixed Methods Approach
Talati, Vidit , Patel, Jagatkumar A. , Nguyen, Theodore V. , Pang, Jonathan C. , Liu, Lauren , Craig, John R. , Papagiannopoulos, Peter , Phillips, Katie M. , Tajudeen, Bobby A. , Adappa, Nithin D. , Sedaghat, Ahmad R. , Anand, Vijay K. , Batra, Pete S., Bergsneider, Marvin, Casiano, Roy R. , Cavallo, Luigi Maria , Cohen, Marc A. , Eloy, Jean Anderson , Evans, James J., Fernandez‐Miranda, Juan C. , Ferrari, Marco , Froelich, Sébastien , Gardner, Paul A. , Gray, Stacey T. , Hanna, Ehab Y., Harvey, Richard J. , Hong, Sang Duk , Hwang, Peter H. , Kong, Doo‐Sik , Lan, Ming‐Ying , Lee, John Y. K. , Levine, Corinna G. , Meço, Cem , Nicolai, Piero, Nyquist, Gurston , Omura, Kazuhiro , Patel, Zara M. , Celda, María Peris, Prevedello, Danny M., Rabinowitz, Mindy, Raza, Shaan M., Sargi, Zoukaa , Schlosser, Rodney J. , Schwartz, Theodore H. , Sindwani, Raj , Stamm, Aldo Cassol , Thorp, Brian D. , Wang, Marilene B. , Wang, Wei‐Hsin , Witterick, Ian , Won, Tae‐Bin , Woodworth, Bradford A. , Wormald, Peter‐John, Zada, Gabriel , Su, Shirley Y. , Kuan, Edward C , Talati, Vidit , Nguyen, Theodore V , Pang, Jonathan C , Craig, John R , Sedaghat, Ahmad R , Wang, Eric W , Ferrari, Marco , Georgalas, Christos , Harvey, Richard J , Hwang, Peter H , Lan, Ming-Ying , Omura, Kazuhiro , Patel, Zara , Neto, Carlos Pinheiro, Schlosser, Rodney J , Snyderman, Carl H , Woodworth, Bradford A , Meço, Cem , Su, Shirley Y , Abiri, Arash , Goshtasbi, Khodayar , Adappa, Nithin D. , Bergsneider, Marvin , Bernal‐Sprekelsen, Manuel , Bleier, Benjamin S. , Cappabianca, Paolo , Carrau, Ricardo L. , Castelnuovo, Paolo , Dallan, Iacopo , El‐Sayed, Ivan H. , Hanna, Ehab Y., Kelly, Daniel F. , Liu, James K. , Locatelli, Davide , McKean, Erin L. , Nicolai, Piero , Passeri, Thibault , Pinheiro‐Neto, Carlos , Prevedello, Danny M., Recinos, Pablo F. , Rosen, Marc R , Turri‐Zanoni, Mario , Wormald, Peter‐John

International Forum of Allergy & Rhinology | May 15, 2025 | Volume: 15 | Issue: 10 | Pages: 1032-1069

10.1002/alr.23596 | PMID 40371737 Get It

ABSTRACT Objective There is limited consensus on endoscopic skull base surgery (ESBS) reconstruction principles. This study aims to generate comprehensive themes regarding ESBS reconstruction by pooling the experiences of ESBS experts, with comparison to a literature review of current published evidence. Methods Structured qualitative interviews of ESBS experts regarding postoperative management and reconstruction of various defect locations were conducted. Results A total of 68 experts comprising 40 academic teams across 13 countries with an average of 18 years of ESBS experience were included. We propose 10 stepwise algorithms for common skull base reconstruction scenarios based on these expert interviews. When available, the nasoseptal flap is used for all high_flow cerebrospinal leak defects. Multilayered reconstruction is favored at all anatomical subsites with increasing number of layers for increasing defect size and complexity. Heterogeneity exists in terms of inlay technique and materials, free grafting versus various pedicled flap options for low‐flow defects or in the absence of a nasal septum, nasal packing, tissue sealant, lumbar drain use, and postoperative management. Commonalities and discrepancies between experts were summarized. Conclusion Skull base reconstruction and post‐ESBS management is highly complex with a wide variety of practice patterns and expert strategies. Further research of higher quality evidence is warranted to identify optimal management patterns, though the current work aims to inform surgeons on these controversial areas by drawing from numerous experiences.
Reporting guideline for the use of Generative Artificial intelligence tools in MEdical Research: the GAMER Statement
Luo, Xufei , Ranisch, Robert , Daher, Mohammad , Lam, Kyle , Eriksen, Alexander Viktor , Hsu, Che-Wei , Ozaki, Akihiko , Khanna, Sahil , Bian, Zhaoxiang , Chen, Yaolong , Estill, Janne , Litvin, Andrey , Giuffrè, Mauro , Lam, Kyle , Hsu, Che-Wei , Ozaki, Akihiko , Chen, Yaolong , Tham, Yih Chung , Moraes, Fábio Ynoe de , Su, Kuan‐Pin , Begagić, Emir

BMJ Evidence-Based Medicine | May 13, 2025 | Volume: 30 | Issue: 6 | Pages: 390-400

10.1136/bmjebm-2025-113825 | PMID 40360239 Get It

Objectives Generative artificial intelligence (GAI) tools can enhance the quality and efficiency of medical research, but their improper use may result in plagiarism, academic fraud and unreliable findings. Transparent reporting of GAI use is essential, yet existing guidelines from journals and institutions are inconsistent, with no standardised principles. Design and setting International online Delphi study. Participants International experts in medicine and artificial intelligence. Main outcome measures The primary outcome measure is the consensus level of the Delphi expert panel on the items of inclusion criteria for GAMER (Rreporting guideline for the use of Generative Artificial intelligence tools in MEdical Research). Results The development process included a scoping review, two Delphi rounds and virtual meetings. 51 experts from 26 countries participated in the process (44 in the Delphi survey). The final checklist comprises nine reporting items: general declaration, GAI tool specifications, prompting techniques, tool’s role in the study, declaration of new GAI model(s) developed, artificial intelligence-assisted sections in the manuscript, content verification, data privacy and impact on conclusions. Conclusion GAMER provides universal and standardised guideline for GAI use in medical research, ensuring transparency, integrity and quality.
IPMN Risk Assessment Under Federated Learning Paradigm
Pan, Hongyi , Hong, Ziliang , Keleş, Elif , Aktas, Halil Ertugrul , Taktak, Yavuz , Medetalibeyoğlu, Alpay , Zhang, Zheyuan , Velichko, Yury , Schoots, Ivo G. , Bruno, Marco J. , Tiwari, Pallavi , Bolan, Candice W. , Gonda, Tamas A. , Miller, Frank, Keswani, Rajesh N. , Miller, Frank H. , Miller, Frank H , Velichko, Yuri S , Durak, Görkem , Spampinato, Concetto , Tiwari, Pallavi , Wallace, Michael B. , Xu, Ziyue , Bağcı, Ulaş

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) | May 12, 2025 | Volume: No volume available | Issue: No issue available | Pages: 1-5

10.1109/isbi60581.2025.10980733 Get It

Spatial Transcriptomics Identify Region-specific Pathogenesis of Bronchiolar and Alveolar Disease in Primary Ciliary Dyskinesia Lungs
Saito, Minako , Murano, Hiroaki , Gilmore, Rodney C. , Cruz, Gabriela De la , Chua, M. , Khoór, András , McCall, Shannon J. , Snyder, Laurie D. , Sembrat, John , Askin, Fred, Shoemark, Amelia , Livraghi-Butrico, A., Randell, S.H., Boucher, R. C. , Asakura, Takanori , Dang, Hong , Okuda, Kenichi , Markovetz, Matthew R. , Brody, Steven L. , Livraghi-Butrico, Alessandra , O’Neal, Wanda K.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A7931-A7931

10.1164/ajrccm.2025.211.abstracts.a7931 Get It

Abstract Rationale: Primary ciliary dyskinesia (PCD) is a heterogeneous, rare genetic disorder characterized by dysfunctional motile cilia. PCD pulmonary manifestations include impaired airway mucociliary clearance, mucus obstruction, recurrent infection, and bronchiectasis (BE). Notably, thoracic imaging studies indicate that alveolar atelectasis is more prevalent in children with PCD than in age-matched children with cystic fibrosis (CF). However, morphologic and molecular analyses of the site of initiation and progression of PCD airway disease and relationships to PCD alveolar disease have not been reported. In this study, we analyzed region-specific morphologic and molecular characterizations of airway epithelia and alveolar regions in PCD lungs excised at transplantation to address these questions. Methods: Nine PCD lungs and seven non-diseased control lungs were included in the morphometric studies. Bronchi and proximal and distal bronchioles were defined using unique morphologic structures, and distal airway secretory cell (DASC) markers were used to differentiate between proximal and distal bronchioles. Morphologic characteristics of airway epithelia and luminal mucus were quantitated by histology, immunohistochemistry, and RNA in situ hybridization. Spatial transcriptomic technologies (GeoMx) characterized region-specific transcript expression in three airway epithelial regions (bronchi, proximal bronchioles, and distal bronchioles), intraluminal mucus plugs, and alveolar regions of PCD compared to control lungs. Finally, pulmonary function data from a cohort of PCD subjects were analyzed to investigate correlations between alveolar morphologic findings and alveolar gas exchange function, i.e. diffusing capacity for carbon monoxide (DLCO). Results: PCD bronchi and proximal bronchioles exhibited ectasia, characterized by increased MUC5AC and MUC5B-producing cells, mucus plugs containing MUC5AC and MUC5B mucins infiltrated by neutrophils, and epithelial gene signatures associated with ectasia. In contrast, PCD distal bronchioles were not ectatic and exhibited MUC5B-dominant DASCs, mucus plugs containing selectively MUC5B mucin infiltrated by mixture of neutrophils and macrophages, and gene signatures suggestive of impaired ciliogenesis. Molecular analysis revealed upregulation of pathways associated with muco-inflammation, antimicrobial defense, and the innate immune system routinely in PCD airway epithelia. IL-1β gene signatures were observed in both PCD airway and alveolar epithelia, whereas interferon-stimulated gene signatures were restricted to airway epithelia. Transcriptomic and morphologic analyses suggested that PCD alveolar disease was initiated by distal bronchiolar obstruction, associated with chronic microatelectasis, progressive loss of alveolar epithelial type 2 (AT2) cells, and eventual non-resolving fibrosis. A significant percentage (28%) of people with PCD exhibited reduced DLCO. Conclusions: PCD airway disease is manifest by distinct profiles of proximal vs distal bronchiolar disease associated with microatelectatic and fibrotic alveolar disease.
Concurrent or subsequent lymphomatous effusion in large B-cell lymphoma portends a dismal prognosis: A multi-institutional study
Tang, Haiming , Xu, Jie , McCracken, Jenna , Li, Peng , Braunberger, Ryan C. , Wu, Xiaojun , Wang, Endi , Zhang, Qianyun , Soma, Lorinda, Zhang, Jingjing , Matsumoto, Nana , Xu, Mina L. , Pan, Zenggang , Tang, Haiming , Wang, Endi , Katz, Samuel G , Zhang, Jing Jing , Pan, Zenggang , Gisriel, Savanah D. , Ji, Yuan , Fang, Hong , Li, Shaoying , Xu‐Monette, Zijun Y. , Young, Ken H.

American Journal of Clinical Pathology | May 9, 2025 | Volume: 164 | Issue: 3 | Pages: 390-401

10.1093/ajcp/aqaf057 | PMID 40581918 Get It

Abstract Objective Rare large B-cell lymphomas (LBCLs) present with concurrent or subsequent lymphomatous effusion (solid-effusion LBCL, SE-LBCL), which may have an inferior prognosis compared with their noneffusion counterpart. In addition, the relationship between SE-LBCL and human herpesvirus 8–negative effusion-based LBCL (EB-LBCL) remains unclear. Methods We collected 141 cases of SE-LBCL and a control cohort of 101 cases of stage IV solid-only LBCL. The clinicopathologic features were analyzed and compared between SE-LBCL and solid-only LBCL. Results Patients with SE-LBCL had a median age of 67 years with a male-to-female ratio of 1.3:1. Eighty-six patients had concurrent solid lymphoma and lymphomatous effusion, whereas 55 developed lymphomatous effusion subsequently. Most cases involved the pleural cavities (79%, 112/141), followed by the peritoneal (21%, 29/141) and pericardial (11%, 16/141) cavities. BCL6, CD10, and MUM1 were expressed in 77% (90/117), 46% (60/130), and 61% (58/95) of cases, respectively, and 58% (71/123) were subclassified into the germinal center B-cell (GCB) subtype. Rearrangements of BCL2, BCL6, and MYC were detected in 42% (31/73), 35% (22/63), and 40% (35/88), respectively, and 22% (19/87) had both MYC and BCL2 rearrangements. The patients with SE-LBCL had a dismal prognosis, with a median survival of 5.7 months, which was significantly worse than solid-only LBCL (147.5 months; P &lt; .0001). Conclusions The pathologic features of SE-LBCL were similar to those of solid-only LBCL but distinct from those of EB-LBCL; in particular, lymphomatous effusion was an independently adverse prognostic factor in LBCL. Our study underscores the need for surveillance of lymphomatous effusion during LBCL staging and development of effective therapeutic regimens for SE-LBCL.
Global patterns of utilization of noninvasive tests for the clinical management of metabolic dysfunction–associated steatotic liver disease
Lazarus, Jeffrey V., Alkhouri, Naim , Noureddin, Mazen, Wong, Vincent Wai-Sun, Tsochatzis, Emmanuel , Avila, Leyla de , Racila, Andrei, Nader, Fatema, Stepanova, Maria, Younossi, Zobair M. , Lazarus, Jeffrey V. , Lazarus, Jeffrey V , Tsochatzis, Emmanuel A , Allen, Alina M. , Noureddin, Mazen , Wong, Vincent Wai‐Sun , Mark, Henry E. , Henry, Linda L , Castera, Laurent

Hepatology Communications | May 1, 2025 | Volume: 9 | Issue: 5 | Pages: No page available

10.1097/hc9.0000000000000678 | PMID 40304566 Get It

Background: Noninvasive tests (NITs) are used to risk-stratify metabolic dysfunction–associated steatotic liver disease. The aim was to survey global patterns of real-world use of NITs. Methods: A 38-item survey was designed by the Global NASH Council. Providers were asked about risks for advanced fibrosis, which NITs (cutoff values) they use to risk-stratify liver disease, monitor progression, and which professional guidelines they follow. Results: A total of 321 participants from 43 countries completed the survey (54% hepatologists, 28% gastroenterologists, and 18% other). Of the respondents, 85% would risk-stratify patients with type 2 diabetes, obesity (82%), or abnormal liver enzymes (73%). Among NITs to rule out significant or advanced fibrosis, transient elastography (TE) and fibrosis-4 (FIB-4) were most used, followed by NAFLD Fibrosis Score, Enhanced Liver Fibrosis, and magnetic resonance elastography. The cutoffs for ruling out significant fibrosis varied considerably between practices and from guidelines, with only 50% using TE <8 kPa, 65% using FIB-4 <1.30 for age <65, and 41% using FIB-4 <2.00 for age ≥65. Similar variability was found for ruling in advanced fibrosis, where thresholds of FIB-4 ≥2.67 and TE ≥10 kPa were used by 20% and 17%, respectively. To establish advanced fibrosis, 48% would use 2 NITs while 23% would consider 1 NIT, and 17% would confirm with liver biopsy. TE was used by >75% to monitor, and 66% would monitor (intermediate or high risk) annually. Finally, 65% follow professional guideline recommendations regarding NITs. Conclusions: In clinical practice, there is variability in NIT use and their thresholds. Additionally, there is suboptimal adherence to professional societies’ guidelines.