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Incidence of infections, cardiac events, neurological toxicity and cytokine response syndrome (CRS) in patients treated with chimeric antigen receptor (CAR) T cell therapy: A 3-year nationwide analysis.
Mahadevia, Himil , Modi, Karnav , Shah, Raj, Modi, Shivani , Batra, Nitya, Arya, Yajur , Syal, Arshi , Shah, Kashish, Savani, Saloni , Chaudhari, Jahnavi, Vodnala, Deepthi, Khumri, Taiyeb, Cossor, Furha, Sharma, Parth , Peshin, Supriya , Jain, Akhil , Gupta, Kush , Ponvilawan, Ben

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 7018-7018

10.1200/jco.2025.43.16_suppl.7018 Get It

7018 Background: CAR-T cell therapy represents a notable advancement in treating relapsed/refractory (R/R) hematological malignancies. Adverse events include CRS, infections, and neurological and cardiac complications. While there are reports from major academic institutions on the adverse effects of CAR-T therapy, we used data from the National Inpatient Sample (NIS) to gather national estimates of complications related to CAR-T therapy. Methods: A retrospective study was conducted to analyze patients who underwent CAR-T cell therapy by utilizing appropriate ICD-10-PCS procedure codes (XW033C3, XW043C3, XW23346, XW24346, XW23376, and XW24376) from NIS 2019 to 2021. Data regarding infections, toxic encephalopathy (a surrogate for neurological toxicity), and adverse cardiac events were extracted using relevant ICD-10-CM diagnostic codes. Patients experiencing various grades of CRS were identified through specific ICD-10 codes available in 2021 (Grades 1-5: D89.831-D89.835). Results: This study analyzed 6515 patients who underwent CAR-T cell therapy from January 2019 to December 2021. Among them, 60.7% were male. 74.6% were Caucasian, 11.7% were Asian and 6.7% were African American. 49.8% of patients had private insurance, 36.2% had Medicare, and 8.6% had Medicaid. 6.8% of patients were diagnosed with pneumonia, while sepsis occurred in 7.4% of patients and 3% experienced septic shock. 19.4% of patients experienced cardiac arrhythmias, and major cardiovascular events were recorded in 4.7% of the cohort. Acute myocardial infarction and stroke were documented in 0.6 and 1.2% of patients, respectively. Toxic encephalopathy was reported in 19.7% of patients. Among 2235 patients identified to have received CAR-T in 2021, 59.7% developed CRS. Grade 1 and grade 2 CRS were reported in 32% and 21% of patients, respectively, while grade 3 and grade 4 reactions were noted in 4.7% and 2% of patients, with no cases of grade 5 identified. The mean total cost of hospitalization was 308,364$, and the mean length of hospital stay was 19.5 days. The overall in-hospital mortality rate was 3.4%. Conclusions: Our study describes real-world outcomes from a large dataset of CAR-T patients. Infections pose a significant challenge with CAR-T therapy, highlighting the importance of early detection and timely antimicrobial treatment. CRS is common, with a 60% incidence, similar to previous clinical trials (55%). Immediate management is crucial for addressing CRS toxicity. Adverse neurological and cardiovascular incidents are often reported, emphasizing the need for meticulous monitoring and coordinating multidisciplinary care plans. The financial burdens also bear mentioning: CAR-T therapy costs significantly higher than autologous stem cell transplants. Further studies to address these issues are warranted.
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.
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.
Symptom Management for Well-Differentiated Gastroenteropancreatic Neuroendocrine Tumors: ASCO Guideline
Perez, Kimberly , Rivero, Jaydira Del , Kennedy, Erin B. , Basu, Sandip , Chauhan, Aman , Connolly, Heidi M. , Dasari, Arvind , Gangi, Alexandra , Clarke, Callisia N. , Hallet, Julie , Grady, Erin , Ivanidze, Jana , Mittra, Erik , White, Sarah B. , Raj, Nitya , Vijayvergia, Namrata , Lewis, Mark A. , Kunz, Pamela L. , Mailman, Josh , Arshad, Junaid , Singh, Simron , Chandrasekharan, Chandrika, Janson, Eva Tiensuu , Bergsland, Emily K. , Del Rivero, Jaydira , Dasari, Arvind N , Howe, James R , Grady, Erin , Ivanidze, Jana , Raj, Nitya , Vijayvergia, Namrata , Kunz, Pamela L , Mailman, Josh , Arshad, Junaid , Soares, Heloisa P , Singh, Simron , Soulen, Michael C , Halfdanarson, Thorvardur R , Strosberg, Jonathan R , Clarke, Callisia N , Howe, James R. , Chan, Jennifer Ai-wen , Soares, Heloisa P. , Hálfdánarson, Þorvarður R. , Strosberg, Jonathan

JCO Oncology Practice | May 9, 2025 | Volume: 22 | Issue: 1 | Pages: 19-35

10.1200/op-25-00133 | PMID 40344544 Get It

ASCO Guidelines provide recommendations with comprehensive review and analyses of the relevant literature for each recommendation, following the guideline development process as outlined in the ASCO Guidelines Methodology Manual . ASCO Guidelines follow the ASCO Conflict of Interest Policy for Clinical Practice Guidelines . Clinical Practice Guidelines and other guidance (“Guidance”) provided by ASCO is not a comprehensive or definitive guide to treatment options. It is intended for voluntary use by clinicians and should be used in conjunction with independent professional judgment. Guidance may not be applicable to all patients, interventions, diseases or stages of diseases. Guidance is based on review and analysis of relevant literature and is not intended as a statement of the standard of care. ASCO does not endorse third-party drugs, devices, services, or therapies and assumes no responsibility for any harm arising from or related to the use of this information. See complete disclaimer in Appendix 1 and 2 (online only) for more. PURPOSE To develop a clinical practice guideline and recommendations for symptom management of patients with well-differentiated grade 1 to grade 3 metastatic gastroenteropancreatic neuroendocrine tumors. METHODS ASCO convened an Expert Panel to develop a clinical practice guideline by reviewing the literature for relevant guidelines, systematic reviews, randomized controlled trials (RCTs), and observational studies to develop recommendations for clinical practice. RESULTS The literature review identified eight guidelines, 19 systematic reviews, and three RCTs that informed the development of guideline recommendations. RECOMMENDATIONS Recommendations are included for carcinoid syndrome, carcinoid heart disease and carcinoid crisis, and functional pancreatic neuroendocrine tumor syndromes. Recommendations are provided for surgical management, liver-directed therapy, and systemic therapy options, as well as palliative care. Limited guidance is provided for sequencing of interventions. Additional information is available at www.asco.org/gastrointestinal-cancer-guidelines .
Deep Learning-Based Synthetic CT for Personalized Treatment Modality Selection Between Proton and Photon Therapy in Thoracic Cancer
Zhu, Libing , Yu, Nathan Y. , Tegtmeier, Riley C. , Ashman, Jonathan B. , Duan, Jingwei , Chen, Quan , Rong, Yi , Chen, Quan , Anand, Aman, Duan, Jingwei , Anand, Aman Raj

Cancers | May 4, 2025 | Volume: 17 | Issue: 9 | Pages: 1553

10.3390/cancers17091553 | PMID 40361479 Get It

Objectives: Identifying patients’ advantageous radiotherapy modalities prior to CT simulation is challenging. This study aimed to develop a workflow using deep learning (DL)-predicted synthetic CT (sCT) for treatment modality comparison based solely on a diagnostic CT (dCT). Methods: A DL network, U-Net, was trained utilizing 46 thoracic cases from a public database to generate sCT images predicting planning CT (pCT) scans based on the latest dCT, and tested on 15 institutional patients. The sCT accuracy was evaluated against the corresponding pCT and a commercial algorithm deformed CT (MdCT) based on Mean Absolute Error (MAE) and Universal Quality Index (UQI). To determine advantageous treatment modality, clinical dose-volume histogram (DVH) metrics and Normal Tissue Complication Probability (NTCP) differences between proton and photon treatment plans were analyzed on the sCTs via concordance correlation coefficient (CCC). Results: The AI-generated sCTs closely resembled those of the commercial deformation algorithm in the tested cases. The differences in MAE and UQI values between the sCT-vs-pCT and MdCT-vs-pCT were 19.38 HU and 0.06, respectively. The mean absolute NTCP deviation between sCT and pCT was 1.54%, 0.21%, and 2.36% for esophagus perforation, lung pneumonitis, and heart pericarditis, respectively. The CCC between sCT and pCT was 0.90 for DVH metrics and 0.97 for NTCP, indicating moderate agreement for DVH metrics and substantial agreement. Conclusions: Radiation oncologists can potentially utilize this personalized sCT based approach as a clinical support tool to rapidly compare the treatment modality benefit during patient consultation and facilitate in-depth discussion on potential toxicities at a patient-specific level.
Surgeon Sex and Postoperative Resource Utilization: A Population-Based Cohort Study
Satkunasivam, Raj , Aminoltejari, Khatereh, Thomas, Hannah S. , Salles, Arghavan , Coburn, Natalie, Wright, Frances C. , McCartney, Colin J. L. , Armstrong, Kathleen , Bass, Barbara L. , Detsky, Allan S. , Riveros, Carlos , Heybati, Kiyan , Coburn, Natalie, Conn, Lesley Gotlib , Luckenbaugh, Amy N. , Ranganathan, Sanjana , Riveros, Carlos , Sutherland, Jason Murray , Jerath, Angela , Wallis, Christopher J D

Annals of Surgery Open | May 2, 2025 | Volume: 6 | Issue: 2 | Pages: e569

10.1097/as9.0000000000000569 | PMID 40557345 Get It

Objectives: To determine associations between physician sex and use of postoperative healthcare resources among patients undergoing common surgeries in Ontario, Canada. Background: Prior studies have shown that patients of female physicians experience better outcomes and have lower healthcare costs compared with patients of male physicians. Understanding differences in resource utilization may offer insights into the care pathways and practice patterns contributing to these differences. Methods: We conducted a population-based, retrospective cohort study of adults (≥18 years of age) undergoing 1 of 25 common surgeries, between January 1, 2007, and December 31, 2019, in Ontario, Canada. The primary outcome was the utilization of one of the following: intensive care unit admission, other medical interventions (eg, tracheostomy, new dialysis starts, and home oxygen), and discharge care needs (eg inpatient rehab, long-term care, and home care use) within 30 days. The data were summarized using descriptive statistics and adjusted using multivariable generalized estimating equations. Results: This population-based study included 1,100,193 patients (61.8% female). Patients treated by male surgeons had higher use of postoperative resources versus those with female surgeons within 30 days (adjusted rate 33.1; 95% confidence interval [CI]: 28.0–39.2 versus 31.2; 95% CI: 25.8–37.7), 90 days, and 1 year. Consistent with these findings, following adjustment for patient, surgeon, procedural, and hospital characteristics, patients treated by male surgeons were significantly more likely to utilize postoperative resources within 30 days (adjusted odds ratio: 1.14; 95% CI: 1.03–1.27; P = 0.010) and at other time points. This difference was primarily driven by the higher use of home care among patients with a male versus female surgeon at all time points (30 days: adjusted odds ratio, 1.13; 95% CI: 1.05–1.21; P = 0.002). Conclusions: Patients with male surgeons had higher postoperative resource utilization when compared with those treated by female surgeons, which was almost entirely driven by the higher use of home care. Further mixed-methods investigation is needed to better understand other potentially relevant factors including surgical outcomes, individual patient preferences, and surgical team decision-making.
Can quantitative sensory testing predict treatment outcomes in hip and knee osteoarthritis? A systematic review and meta-analysis of individual participant data
Murphy, Myles , Mosler, A. , Coventry, Molly , Arendt‐Nielsen, Lars , Bjurström, Martin F. , Larsen, Dennis Boye , Olesen, Anne Estrup , Hertel, Emma , Holm, Pætur Mikal , Gomes, Cid André Fidelis de Paula , Drewes, Asbjørn Mohr , Nunes, Guilherme S. , Østerås, Håvard , Öztürk, Özgul , Pozsgai, M. , Rasmussen, Sten , Rice, David A. , Romero, Eleuterio A. Sánchez , Irani, Anushka, Stausholm, Martin Bjørn , Petersen, Kristian Kjær , Irani, Anushka , Murphy, Myles C , Irani, Anushka , Rio, Ebonie , Raj, Isaac Selva , Chivers, Paola , Alfieri, Fábio Marcon , Chang, Wei‐Ju , Graven‐Nielsen, Thomas , Henriksen, Marius , Klinedinst, N. Jennifer , Mathew, Jerin , O’Leary, Helen , Rampazo, Érika Patrícia , Irani, Anushka, Hince, Dana

Pain | May 1, 2025 | Volume: 166 | Issue: 10 | Pages: 2261-2280

10.1097/j.pain.0000000000003627 | PMID 40310871 Get It

Abstract An individual participant data (IPD) meta-analysis can assess the predictive value of data on outcomes at the individual level, offering a potential tool for developing personalized pain management. Pretreatment quantitative sensory testing (QST) may stratify patient groups, which are then linked to treatment outcomes. Our objective was to determine if measures of QST at baseline are related to treatment outcomes (at any time point) for pain and disability in lower-limb osteoarthritis. We performed a systematic review with an IPD meta-analysis. Searches were conducted in 9 databases until May 5, 2023 for intervention studies that measured baseline QST and longitudinal measures of participant-reported pain and disability. We performed a 2-stage approach to analyse longitudinal data. Individual models were fitted to each study and combined using random effects multivariate meta-analytic models. Study quality was assessed using the Joanna Briggs Institute checklist, and certainty of the evidence was assessed using GRADE. We identified 3082 records and included 1 hip and 28 knee datasets consisting of 2522 participants from 40 studies. Local warm detection thresholds (P = 0.024) predicted knee osteoarthritis pain outcomes (very-low certainty). Local warm detection thresholds (P = 0.030), remote cold detection thresholds (P = 0.05), and remote pressure tolerance thresholds (P = 0.007) predicted knee osteoarthritis disability outcomes (very-low certainty). Other QST variables were associated with hip and knee osteoarthritis pain and disability levels (eg, pressure pain thresholds), but this relationship did not change over time. This review finds that mechanism-based, QST methodologies do not consistently predict pain or disability on an individual level in hip or knee osteoarthritis.
Impact of Long‐Term Use of Anticoagulants Among Elderly Patients Undergoing Left Atrial Appendage Occlusion Procedures in the United States: A Retrospective Cohort Study
Mehta, Samay , Sekhon, Manraj, Rajotia, Arush , Gandhi, Haresh , Raj, Kavin , Singh, Jarmanjeet , Verma, Renuka, Sakthivel, Hemamalini, Ramphul, Kamleshun, Singh, Swaiman, Mehta, Samay , Dhaliwal, Jasninder Singh , Sekhon, Manraj, Ahmed, Mushood , Ahmed, Raheel

Health Science Reports | April 30, 2025 | Volume: 8 | Issue: 5 | Pages: No page available

10.1002/hsr2.70812 | PMID 40309619 Get It

VEGF-B/NRP1 Signaling Modulates Mitochondrial Homeostasis and Cardiac Function After Myocardial Infarction
Varanasi, Sai Manasa , Sabharwal, Ankit , Kar, Riya, Magnano, Carter , Dorai-Raj, A., Wang, Enfeng , Dutta, Shamit K., Das, Pritam , Ekker, Stephen C. , Wang, Ying , Ekker, Stephen C , Wang, Ying , Kar, Riya, Dorairaj, Ananya, Mukhopadhyay, Debabrata , Angom, Ramcharan Singh

No container title available | April 22, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.04.18.649613 Get It

Abstract Background Myocardial infarction (MI) remains a leading cause of mortality worldwide. Recent studies suggest a cardioprotective role for vascular endothelial growth factor-B (VEGF-B) in MI. However, the molecular mechanisms of VEGF-B-mediated signaling via its co-receptor Neuropilin-1 (NRP1) in MI are poorly understood. In this study, we investigated the intricate signaling mechanisms involving VEGF-B and NRP1 in cardiomyocytes (CMs) using ischemic injury as a model of MI. And secondly, we further validated the protective role of VEFG-B in ischemic heart disease, shedding light on their roles not only in cardiac function but also in its therapeutic potential. Methods In this study, we utilized both in vitro and in vivo approaches to elucidate the role of VEGF-B and NRP1 signaling in MI and how it manifests a protective role in mitochondrial functions and cardiac regeneration following ischemic injury. We used two different cardiomyocyte cell lines, H9c2 (rat ventricular cardiomyocytes) and HL-1 (mouse ventricular cardiomyocytes), and induced hypoxia conditions, using either 1% oxygen or 200µM cobalt chloride (CoCl 2 ) to mimic the myocardial infarction-induced ischemic injury in the heart. In addition, we developed a novel heat shock inducible zebrafish model of a cardiomyocyte-specific VEGF-B overexpression system to further examine the protective role of VEGF-B in vivo . Results Our findings indicate that both VEGF-B and NRP1 are predominantly expressed in heart tissue compared to other tissues, and their expression is altered in response to hypoxia/ischemic injury. Our results demonstrate that VEGF-B treatment prior to hypoxia enhances cardiomyocyte survival, while NRP1 knockdown abolishes this protective effect, highlighting a prominent role of NRP1 signaling in VEGF-B-mediated cardio protection. Furthermore, we found that VEGF-B promotes cardiomyocyte survival by improving mitochondrial function, as evidenced by reduced oxidative stress and ROS accumulation, decreased oxidative stress, preserved mitochondrial membrane potential, and increased ATP levels. Lastly, using our VEGF-B transgenic zebrafish model, we demonstrated that VEGF-B overexpression in zebrafish cardiomyocytes protects the heart from ischemic injury and enhances cardiac regeneration in an NRP1-dependent manner. Conclusion Our study has uncovered an important role of VEGF-B-NRP1 signaling axis in VEGF-B mediated cell survival and in beneficial mitochondrial functions in the CMs. Importantly, we also demonstrated that VEGF-B is protective against ischemic injury in vivo using a novel zebrafish model Novelty and Significance What Is Known? Myocardial infarction (MI) results in mitochondrial dysfunction, cardiomyocyte death, and adverse ventricular remodeling. Vascular Endothelial Growth Factor B (VEGF-B) is traditionally associated with cardiac metabolism, survival, vascular biology, particularly in angiogenesis and lipid metabolism. The neurophilin-1 (NRP1) receptor, a co-receptor for VEGF-B, is expressed in cardiomyocytes and implicated in mitochondrial signaling pathways. Emerging evidence suggests that VEGF-B may influence mitochondrial integrity and function under stress conditions. What New Information Does This Article Contribute? VEGF-B exerts a protective effect on cardiomyocyte mitocondria following ischemic injury by preserving mitochondrial function and reducing oxidative stress. NRP1 receptor as a key mediator of VEGF-B modulates mitochondrial homeostasis in cardiomyocytes. VEGF-B signaling can attenuate apoptosis and enhance mitochondrial bioenergetics post-MI, suggesting a novel cardioprotective mechanism. Clinical Implication: These findings suggest that therapeutic strategies aimed at enhancing VEGF-B/NRP1 signaling may improve mitochondrial function and cardiac recovery after MI, offering a novel avenue for limiting heart failure progression in ischemic heart disease.
Short‐Term, Mid‐Term, and Long‐Term Outcomes of Transcatheter Aortic Valve Replacement With Balloon‐Expandable Versus Self‐Expanding Valves: A Meta‐Analysis of Randomized Controlled Trials
Tavakoli, Kiarash , Mohammadi, Negin , Bahiraie, Pegah , Saeidi, Sahar , Shaker, Farhad , Moghadam, Arman Soltani , Namin, Sara Montazeri , Rahban, Habib , Pawar, Shubhadarshini , Soleimani, Hamidreza , Jenab, Yaser , Makkar, Raj, Gupta, Aakriti, Mohammadi, Negin Sadat Hosseini , Soleimani, Hamidreza , Hosseini, Kaveh , Tajdini, Masih , Ahmad, Yousif , Iskander, Fady , Alkhouli, Mohamad , Makkar, Raj , Gupta, Aakriti

Clinical Cardiology | April 19, 2025 | Volume: 48 | Issue: 4 | Pages: No page available

10.1002/clc.70134 | PMID 40251970 Get It

ABSTRACTBackgroundComparisons of outcomes after transcatheter aortic valve replacement with balloon‐expandable (BEV) versus self‐expanding (SEV) valves are limited.HypothesisThis study aimed to compare clinical and hemodynamic outcomes of BEV and SEV at short‐term (30 days), midterm (1 year), and long‐term (> 1 year) endpoints.MethodsPubMed, Embase, Scopus, and Cochrane Library databases were searched until July 2024 for randomized controlled trials. Random‐effect model (DerSimonian–Laird method) was used to pool the risk ratios (RR), mean differences, and 95% confidence intervals (CI).ResultsA total of 10 studies comprising 4325 patients (2295 BEV, 2030 SEV) were included. In short‐term, cardiovascular (RR: 0.56, 95% CI: 0.36–0.87) and all‐cause mortality (RR: 0.54, 95% CI: 0.35–0.81) were lower in the BEV group. Risk of moderate to severe paravalvular leak (PVL) was lower among BEV patients in short‐term (RR: 0.28, 95% CI: 0.17–0.49) and long‐term (RR: 0.28, 95% CI: 0.1–0.79). A limited number of studies showed a greater risk of clinical valve thrombosis on BEV in midterm and long‐term. The need for permanent pacemaker implantation was lower in BEV at both short‐term (RR: 0.56, 95% CI: 0.37–0.87), and midterm (RR: 0.78, 95% CI: 0.64–0.94). The SEV group had a larger effective orifice area with lower mean transvalvular pressure gradient at all endpoints.ConclusionsBEV is associated with reduced risk of clinical outcomes in short‐term; however, most differences diminish in longer evaluations, except for moderate to severe PVL, which remains elevated for SEV. SEVs had better hemodynamic results and lower risk of clinical valve thrombosis.