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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.
Individual response to lifestyle interventions: a pooled analysis of three long-term weight loss trials
Meir, Anat Yaskolka , Tsaban, Gal , Rinott, Ehud , Schwarzfuchs, Dan , Gepner, Yftach , Shelef, Ilan , Blüher, Matthias , Ceglarek, Uta , Klöting, Nora , Keller, Maria , Qi, Lu , Liang, Liming , Stampfer, Meir J. , Yaskolka Meir, Anat , Shelef, Ilan , Ceglarek, Uta , Isermann, Berend , Kovacs, Peter , Qi, Lu , Shai, Iris , Zelicha, Hila , Rudich, Assaf , Stümvoll, Michael , Kovács, Péter , Wang, Dong D. , Hu, Frank B. , Shai, Iris

European Journal of Preventive Cardiology | May 21, 2025 | Volume: 32 | Issue: 16 | Pages: 1660-1670

10.1093/eurjpc/zwaf308 | PMID 40472282 Get It

Abstract Aims We explored the manifestations of individual weight loss (WL) response to long-term lifestyle interventions on cardiometabolic risk. Methods and results We pooled data from three large long-term lifestyle WL-intervention trials: 24-month DIRECT (ClinicalTrials.gov: NCT00160108; n = 322; 87% adherence), 18-month CENTRAL (ClinicalTrials.gov: NCT01530724; n = 278; 86% adherence), and 18-month DIRECT PLUS (ClinicalTrials.gov: NCT03020186; n = 294; 89% adherence). We analyzed longitudinal changes in cardiometabolic risk markers, including anthropometrics, blood biomarkers, and magnetic-resonance-imaging-assessed fat depots, and measured DNA-methylation, proteomics, and metabolomics. Among trial completers (n = 761, mean age = 50.4 years; 89% men, baseline body-mass-index = 30.1 kg/m2), mean WL was −3.3 kg (−3.5%). We classified participants as Successful-WL (36%) with relative-WL > 5%, WL-Resistant (28%) who did not lose or gained weight, and Moderate-WL (36%) with WL between 0% and 5%. Successful-WL achieved the greatest improvements in multiple health indicators. However, the WL-Resistant also showed some significant improvements, with increased high-density-lipoprotein-cholesterol (HDLc) and decreased leptin and visceral fat (P < 0.05 vs. baseline). Overall, each 1 kg sustained lifestyle-induced WL was associated with improvements in lipid markers and insulin resistance [HDLc (+1.44%), triglycerides (−1.37%), insulin (−2.46%), HOMA-IR (−2.71%), leptin (−2.79%)] and intrahepatic-fat regression (−0.49 absolute-units)] and modest but significant change in systolic and diastolic blood pressures (−0.26% and −0.36%). We identified 12 significant methylation sites that are associated with Successful-WL (FDR < 0.05; AUC = 0.73). Conclusion While only ∼one-third of individuals achieved long-term WL, the Moderate-WL and WL-Resistant individuals could benefit improvements in visceral adiposity and cardiometabolic risk by shifting towards a healthy lifestyle pattern, beyond WL. Site-specific DNA methylation may predict an individual's likelihood of successful WL. Registration NCT00160108, NCT01530724, NCT03020186.
A Brief Guide to Interpreting Transbronchial Cryobiopsies for Diffuse Parenchymal Lung Disease
Wright, Joanne L., Manchen, Peter , Butt, Yasmeen M. , Larsen, Brandon T. , Sakata, Kenneth K. , Tazelaar, Henry D. , Sakata, Kenneth, Vaszar, Laszlo, Churg, Andrew , Wright, Joanne L., Politis, Michelle Garlin , Smith, Maxwell L. , Vaszar, Laszlo T. , Tazelaar, Henry D.

American Journal of Surgical Pathology | May 21, 2025 | Volume: 49 | Issue: 10 | Pages: 1068-1077

10.1097/pas.0000000000002424 | PMID 40396574 Get It

Transbronchial cryobiopsies (CB) are increasingly replacing surgical biopsies (video-assisted thoracoscopic/VATS biopsies) for diagnosing diffuse parenchymal lung disease (interstitial lung disease, ILD), but there is very little guidance for pathologists on CB interpretation. Here we propose a fairly simple approach. First, if the diagnosis can be made on a traditional forceps biopsy, it can be made on a cryobiopsy. Many diseases with specific features will fall into this category (eg, sarcoidosis or Langerhans cell histiocytosis). More problematic are patterns such as usual interstitial pneumonia (UIP) or nonspecific interstitial pneumonia (NSIP), in which low-power architecture is the key to diagnosis. In this circumstance, an adequate sample is crucial to look for features such as fibroblast foci, because a combination of fibroblast foci plus any patchy old fibrosis, fibrotic architectural remodeling, or honeycombing, allows a diagnosis of a UIP pattern. However, in most instances, CB will not separate the UIP patterns seen in idiopathic pulmonary fibrosis, fibrotic hypersensitivity pneumonitis, or connective tissue disease-interstitial lung disease (CTD-ILD), although giant cells/granulomas (uncommon findings) in this setting favor fibrotic hypersensitivity pneumonitis. Fibroblast foci can be difficult to differentiate from organizing pneumonia (OP), but granulation tissue plugs clearly in airspaces favor OP. Absent fibroblast foci, patchy old fibrosis, architectural distortion, and honeycombing by themselves do not allow a specific diagnosis. NSIP in CB microscopically looks like NSIP in VATS biopsies, and the presence of an NSIP or an NSIP+OP pattern is typical of CTD-ILD. All the above diagnoses require correlation with clinical and radiologic findings.
Contemporary Biology, Management, and Outcomes of Renal Medullary Carcinoma in Children and Adults: A Pediatric Surgical Oncology Research Collaborative Study
Beckhorn, Catherine B , Malek, Marcus M. , Lovvorn, Harold N. , McKay, Katlyn G. , Kontchou, Nelly‐Ange T. , Kastenberg, Zachary J. , Hoyt, David , Roach, Jonathan P. , Myers, Emily K. , Cost, Nicholas G. , Mullapudi, Bhargava , Marchese, Charles R. , Jensen, Amanda , Lundstedt, John, Brungardt, Joseph G. , Davidoff, Andrew M. , Piché, Nelson , Craig, Brian T. , Schuh, Jennifer M , Cromeens, Barrett P., Castle, Shannon L. , Mello, Kathryn Bandeira de, Short, Joshua , Petroze, Robin T. , Rajaval, Shay, Thompson, Grace R., Fialkowski, Elizabeth , Martchenke, Nathan, Rich, Barrie S. , Glick, Richard D. , Doyle, Kathleen , Abril, Paige, Seemann, Natashia M. , Davidson, Jacob B., Wilson, Claire A. , Joshi, Devashish , Stellon, Michael , Newman, Erika A. , Hammoud, Maya M. , Williams, Keyonna M , Grant, Christa N. , Gorgy, Merit , Polites, Stephanie F. , Debertin, Julia , Cameron, Danielle B. , Stetson, Alyssa , Lee, William G. , Barkhordar, Aaron, Austin, Mary T. , Coakley, Brian A. , Kahan, Anastasia M , Murphy, Joseph T., Pitonak, Michael, Boehmer, Chloé , Tracy, Elisabeth T. , Kastenberg, Zachary J , Hoyt, David W , Cost, Nicholas G , Marchese, Charles R , Lautz, Timothy , Lundstedt, John , Brungardt, Joseph G , Talbot, Lindsay J , Murphy, Andrew J , Aldrink, Jennifer H , Piche, Nelson , Mannava, Sindhu V , Fialkowski, Elizabeth A , Rich, Barrie S , Seemann, Natashia M , Stellon, Michael , Dimmer, Alexandra M , Williams, Keyonna , Barkhordar, Aaron , Beckhorn, Catherine , Tracy, Elisabeth T , Malek, Marcus M , Kahan, Anastasia Morgan , Leraas, Harold J. , Lautz, Timothy B. , Carter, Michela M. , Dasgupta, Roshni , Murphy, Andrew J. , Aldrink, Jennifer H. , Mansfield, Sara A. , Lal, Dave R. , López, Adriana , Mattei, Peter , Rothstein, David H. , Fowler, Kathryn L. , Brown, Erin G. , Abril, Paige, Rinehardt, Hannah , Le, Hau D. , Ahmed, Tamer, Kim, Eugene S. , Pitonak, M.

Pediatric Blood & Cancer | May 21, 2025 | Volume: 72 | Issue: 8 | Pages: No page available

10.1002/pbc.31774 | PMID 40394815 Get It

ABSTRACTBackgroundRenal medullary carcinoma (RMC) is an aggressive tumor associated with sickle cell trait. Despite treatment advances for other rare renal tumors, RMC survival remains poor. We aimed to describe the contemporary management and survival of children and adults with RMC.ProcedureIn this multicenter retrospective cohort study, Pediatric Surgical Oncology Research Collaborative sites searched their databases for patients diagnosed with RMC (2000–2022). Descriptive statistics were calculated and survival analyses performed using Kaplan–Meier and Cox regression.ResultsThirty‐four patients with RMC were identified. Median age was 19 years (IQR: 15–28; range: 7–52). Most were male (24/34; 71%), Black (27/32; 84%), had sickle cell trait or disease (30/33; 91%), presented with metastatic disease (27/34; 79%), and were symptomatic at presentation (32/34; 94%). Median overall survival (OS) was 24 months from diagnosis (16 months for children, 28 months for adults, p = 0.6). Receipt of platinum‐based chemotherapy (23/34; 68%) was associated with significantly higher OS than other regimens (35 vs. 5 months, p < 0.001). Nephrectomy (24/34; 71%) was associated with significantly improved OS compared with non‐operative management (34 vs. 7 months, p = 0.001). Immunotherapy, targeted therapy, or radiation therapy were not associated with significant differences in OS, nor were age, sex, race, sickle cell status, SMARCB1/INI‐1, stage, nephrectomy approach, retroperitoneal lymph node dissection, gross residual disease, margins, or tumor size.ConclusionsRMC survival remains poor despite newer therapies. Nephrectomy and platinum‐based chemotherapy should be considered in locally advanced and metastatic disease. Coordinated international cooperative group studies are needed to meaningfully improve RMC survival.
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.
Musculoskeletal Findings of the Major League Baseball Combine: A Description of the “Normal” Prospective Professional Baseball Player
Erickson, Brandon J. , D’Angelo, John , Ma, Kevin , Casey, Helen, Papp, Derek F. , Lund, Pamela, Chalmers, Peter N. , Camp, Christopher L. , Chalmers, Peter N , Hebert, Liz, Potter, Hollis G.

The American Journal of Sports Medicine | May 19, 2025 | Volume: 53 | Issue: 8 | Pages: 1826-1831

10.1177/03635465251339773 | PMID 40387901 Get It

Background: Major League Baseball (MLB) recently instituted a combine for their prospective players. Purpose/Hypothesis: The purpose of this study was to report initial epidemiological findings for both physical examination and imaging findings for the MLB Combine. It was hypothesized that most players would have no significant abnormal physical examination findings, but most would have abnormal findings on their shoulder and elbow magnetic resonance imaging (MRI) scans. Study Design: Descriptive epidemiology study. Methods: All players who attended the 2023 MLB Combine were included. History was taken and physical examination was performed by an MLB team physician, and MRI of the shoulder, elbow, cervical spine, and lumbar spine was performed on all players and read by 1 of 2 musculoskeletal radiologists. Physical examination notes and imaging reports were reviewed by the authors and recorded. Data were analyzed separately for pitchers and position players. Results: Overall, 219 players (112 pitchers [51%], 107 position players [49%]) were included. The mean age was 20.4 ± 1.5 years. The majority of players (95%) had no current pain or limitations; 54 players (25%) had a history of previous surgery. For pitchers, 18% underwent previous elbow surgery. With regard to MRI, >80% of pitchers had some abnormality within their ulnar collateral ligament (UCL), the majority of which was UCL scarring/remodeling. 70% of pitchers and 60% of position players had evidence of an olecranon osteophyte. Increased signal within the ulnar nerve was common in pitchers (40%) but rare in position players (4%). For the shoulder, 95% of pitchers and 93% of position players had some rotator cuff abnormality (often tendinosis within the supraspinatus and infraspinatus muscles). Also, 75% of pitchers had MRI evidence of a superior labrum anterior to posterior (SLAP) tear, while 24% of position players demonstrated this. Lumbar spine MRI showed that 47% of position players had a disk protrusion and 46% had a previous pars fracture. Conclusion: Most baseball players who participated in the 2023 MLB Combine had MRI evidence of rotator cuff abnormalities, and many showed evidence of an olecranon osteophyte. Eighteen percent of pitchers had a previous history of elbow surgery. The majority of pitchers had some abnormality within their UCL and evidence of a SLAP tear on MRI scans.
Medical Students’ Insight into Foundation Training (MEDSIFT): a National Cross-Sectional Online Survey reveals close to 50% are considering a career outside the NHS
Cook, Benjamin J., Tandanu, Edelyne , Rehman, Umar , Osunronbi, Temidayo , Mukhtar, Ghazel, Kungwengwe, Garikai , Arab, Sammy , Chhatwal, Karanjot , Ellis, Ricky , Romain, Karl , Khan, Akib Majed , Khatib, Manaf , Cavale, Naveen , Brennan, Peter A. , Cook, Benjamin , Osunronbi, Temidayo , Wormald, Justin , Arab, Sammy , Rehman, Umar , Whiteman, Elena , Sarwar, Mohammad Sohaib , Ezzat, Ahmed, Wormald, Justin C.R. , Adigbli, George , Filson, Simon A.

Postgraduate Medical Journal | May 19, 2025 | Volume: 101 | Issue: 1201 | Pages: 1202-1210

10.1093/postmj/qgaf071 | PMID 40384523 Get It

Abstract Introduction The new preference-informed allocation (PIA) system introduced for the 2024 UK cohort Foundation Programme (UKFPO) marks a shift away from the traditional meritocratic ‘ranking’ used in previous years. Instead of appointment to Foundation Programme places, PIA is a computer-generated allocation and deanery preferencing system. This change has raised numerous concerns among both students and clinicians. Aims To investigate the opinions of medical students on the new UKFPO PIA system. Methodology An online questionnaire was distributed to medical students graduating in 2024, 2025, or 2026 across the UK. Results In total, 2297 responses were collected and 2288 were included in the study. Overall, 51.6% (n = 1183) of respondents felt the PIA system was unfair, 76.3% (n = 1746) felt they had lost control of their application, and 46.3% (n = 1049) had noticed a negative effect on their physical or mental health. Notably, 48.2% (n = 1094) of students who responded are now considering a career outside the National Health Service (NHS). Conclusions Overall, the PIA system falls short of students’ expectations and has led to record numbers of students considering careers outside the NHS. Further changes to this system are needed and should aim to address fairness and equity while rewarding students for their hard work. According to these data, the PIA system risks further deteriorating workforce morale and attrition rates.
Artificial Intelligence-Derived Age as a Predictor of Cardiovascular Morbidity and Mortality in an Obstetric Population: Results From the SPEC-AI Nigeria Randomized Clinical Trial [ID 1565]
Rose, Carl H., Tobah, Yvonne S. Butler, Adedinsewo, Demilade , Tobah, Yvonne Butler , Johnson, Patrick W. , Noseworthy, Peter A. , Carter, Rickey E.

Obstetrics & Gynecology | May 15, 2025 | Volume: 145 | Issue: 6S | Pages: 81S-81S

10.1097/aog.0000000000005918.091 Get It

INTRODUCTION: The SPEC-AI Nigeria trial (NCT05438576) was designed to use artificial intelligence (AI) to screen for pregnancy-related cardiomyopathy in the peripartum period. Using data from this study, we evaluated the utility of AI-predicted delta age (adjusted AI-predicted age − chronological age) as a surrogate for biological age. METHODS: We included 1,187 pregnant and postpartum women enrolled between August 2022 and September 2023 with follow-up through May 2024. Standard 12-lead electrocardiograms (ECGs) were recorded at study entry to generate AI age predictions. Artificial intelligence-predicted age was adjusted using estimated reference ranges obtained from a community-dwelling cohort of 25,144 individuals with AI-ECG age estimated and documented chronological age. Logistic and Cox-proportional hazards regression were used to examine associations with comorbid cardiovascular conditions and maternal mortality, respectively. RESULTS: Adjusted AI-predicted age was significantly higher among women with any cardiovascular condition, peripartum cardiomyopathy, or who died within 18 months (7, 14, and 23 years older, respectively) compared to those without these conditions who had values similar to the normal reference ranges (adjusted AI-predicted age difference less than 1 year). Artificial intelligence-predicted delta age greater than the 75th percentile was associated with an odds ratio (OR) of 2.06 for any cardiovascular condition, OR of 4.98 for left ventricular systolic dysfunction, and a hazard ratio of 32.81 for all-cause mortality; all values of P<.001. CONCLUSIONS/IMPLICATIONS: Artificial intelligence-ECG-derived biological age appears to be a potentially useful measure of cardiovascular health status and risk among pregnant and postpartum women. However, its role in monitoring maternal health requires further exploration.
Genotype–phenotype correlations and clinical outcomes of genetic TRPC6 podocytopathies
McAnallen, Susan, Elhassan, Elhussein A. , Stoneman, Sinéad, Hogan, Marie C. , Hoefele, Julia , Clince, Michelle , Jorge, Sofía , Calado, Joaquim , Colliou, Éloïse, Tellier, Stéphanie , Cornet, Joséphine, Fallois, Jonathan de , Dossier, Claire , Loberti, Lorenzo , Godefroid, Nathalie, Astrid, Dubrasquet, Kálmán, Tory, Dolan, Niamh, Alawi, B, Sweeney, Clodagh, Stack, Maria, Awan, Atif , Hui, Ng Kar, Harris, Trudie , Haeberle, Stefanie , Schäfer, Franz, McCann, Emma, Vairo, Filippo , Hogan, Marie C , Hoefele, Julia , Titan, Silvia M , Renieri, Alessandra , Pinto, Anna Maria , Quintana, Luis F , Becherucci, Francesca , Biros, Erik , Kidd, Kendrah , Mallett, Andrew J , Vairo, Filippo Pinto e , Mekraksakit, Poemlarp , Titan, Silvia , Decramer, Stéphane , Francisco, Telma , Servais, Aude , Fenoglio, Roberta , Renieri, Alessandra , Daga, Sergio , Fila, Marc , Quintana, Luís F. , Godefroid, Nathalie, Kálmán, Tory, Dolan, Niamh, Alawi, Bushra Al, Riordan, Michael , McCarthy, Hugh J. , Bleyer, Anthony J. , Sayer, John A , Benson, Katherine Angela , Conlon, Peter J.

Nephrology Dialysis Transplantation | May 15, 2025 | Volume: 41 | Issue: 1 | Pages: 79-91

10.1093/ndt/gfaf086 | PMID 40388293 Get It

ABSTRACT Background and hypothesis Podocytopathy associated with likely pathogenic/pathogenic variants of Transient receptor potential cation channel subfamily C member 6 (TRPC6) (TRPC6-AP) has been recognized for about 20 years. As a result of its rarity however, the spectrum of clinical phenotypes and genotype–phenotype correlation of TRPC6-AP remains poorly understood. Here, we characterized clinical, histological and genetic correlates of familial and sporadic patients with TRPC6-AP. Methods In this multicentre observational study, an online questionnaire followed by a systematic literature review was performed to create a cohort with comprehensive data on genetic and clinical outcomes [age of onset, clinical presentation, treatment response, kidney biopsy findings and progression to kidney failure (KF)]. Logistic regression, Cox proportional hazards model and Kaplan–Meier analyses investigated the associations between genetic variants and disease progression. Results Among 87 families (96 familial and 45 sporadic cases), 31 distinct missense TRPC6 variants (including 2 novel) were identified, with c.2683C&gt;T p.(Arg895Cys) and c.523C&gt;T p.(Arg175Trp) the commonest variants. Proteinuric kidney disease/nephrotic syndrome was the most common clinical presentation (83.7%), while focal segmental glomerulosclerosis was the most common histological finding (89.4%). By 33 (interquartile range 17–40) years, 48.9% (69/141) of patients had progressed to KF. Sporadic TRPC6-AP demonstrated an earlier progression to KF than familial cases (P = .001) and were more likely to present with nephrotic syndrome [odds ratio 4.34 (1.85–10.15); P = .001]. Gain-of-function TRPC6 variants were more frequent in familial than sporadic TRPC6-AP (70.8% vs 44.4%; P = .004). Compared with patients with other TRPC6 variants, patients with TRPC6 p.R175W and p.R895C variants progressed to KF earlier [median kidney survival of 21 years, hazard ratio 2.985 (95% confidence interval 1.40–5.79); and 38 years, hazard ratio 1.65 (95% confidence interval 1.01–2.81), respectively, log-rank P = .005]. Conclusion Our study shows unique clinical and genetic correlations of TRPC6-AP, which may enable personalized care and promising novel therapies.
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.