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ARIMA prediction model for mortality caused by metastatic cancers in the United States population up to the year 2050: A CDC WONDER Database analysis.
Lee, Woo Joo , Aziz, K. , Shaik, Afsana Ansari, Ahmed, Nisar , Asghar, Muhammad Sohaib , Aziz, Khawaja Talha, Masood, Maryam , Shaik, Afsana Ansari

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 11157-11157

10.1200/jco.2025.43.16_suppl.11157 Get It

11157 Background: Metastatic cancers are the leading cause of mortality in the United States (US). In this study of death certificates, obtained from data registry spanning from 1999 to 2024, we examined mortality trends among individuals suffering from any metastatic cancer in US. Methods: Our aim was to analyze the trends in mortality among US residents by demographic characteristics and predict future years based on the existing data by Autoregressive Integrated Moving Average (ARIMA) forecasting modeling. The national mortality data from the multiple causes of death files in the CDC WONDER Database were queried by applying the ICD-10 codes as C77-C79 for secondary cancers. Trends in age-adjusted mortality rate (AAMR) were assessed and results were expressed as average annual percentage changes (AAPC) from Join point regression. Results: There were a total of 2,098,842 deaths due to metastatic cancers in US from 1999-2024 with a crude mortality rate of 25.97 per 100,000 population, about 52% of them being males and 48% were females. Mortality rates (AAMR) continue to trend down from 1999-2008 in both gender, but showed an increase from 2009 onwards with females showed significant AAPC of +0.44. ARIMA predictive model exhibits a significant decline of mortality rates up to the year 2050 in Black population (AAMR: 24.45), Northeast region (AAMR: 10.84) and metropolitan areas (AAMR: 19.93). Conclusions: These findings provide valuable insights of mortality patterns among US population with metastatic malignant diseases. Certain subgroups with specific demographic and geographic characteristics such as White Population, non-metropolitan areas and those belonged to West region had higher future prediction of AAMR. ARIMA forecasting model for predicting AAMR in metastatic cancer population in U.S. Variables AAMR in 1999 Lowest AAMR (year) AAMR in 2024 AAPC ARIMA forecast (2050) Total 27.65 18.34(2008) 29.13 +0.30(0.20 – 0.40)* 29.90 Gender Female 23.89 15.73(2008) 26.23 +0.44(0.34 – 0.54)* 26.04 Male 33.48 22.03(2008) 33.19 +0.06(-0.32 – 0.44) 32.31 Race White 27.74 18.70(2008) 30.89 +0.51(0.40 – 0.63)* 32.95 Black 35.32 21.30(2014) 30.67 -0.54(-1.43 – 0.36) 24.45 Hispanic 19.07 12.93(2008) 21.68 +0.42(0.30 – 0.55)* 24.68 Asian or Pacific Islander 16.32 11.60(2008) 19.37 +0.54(0.25 – 0.89)* 23.15 American Natives 20.35 15.19(2005) 21.68 +0.33(-0.15 – 1.15) 24.28 Census Region Northeast 27.29 15.62(2014) 20.53 -1.03(-1.57 – -0.49)* 10.84 Midwest 29.51 18.55(2010) 31.96 +0.35(0.21 – 0.47)* 30.74 South 28.23 19.18(2008) 30.77 +0.43(0.31 – 0.56)* 33.30 West 24.81 17.18(2008) 30.72 +0.97(0.77 – 1.19)* 39.18 Urbanization † Metropolitan 27.17 17.76(2008) 24.66 -0.46(-0.60 – -0.33)* 19.93 Non-metropolitan 29.87 20.73(2010) 30.39 +0.02(-0.75 – 0.80) 26.56 AAMR per 100,000 population. † For urbanization, AAMR 1999-2020. *P-value <0.05.
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.
Abstract 7118: Clinical characteristics and survival outcomes of ovarian cancer among South Asian women in United States
Karki, Aditi, Yadav, Sumeet Kumar, Islam, Muhammad Rafiqul, Dangol, Ramila Shilpakar, Aziz, Zeba , Pruthi, Sandhya , Shahi, Maryam , Couch, Fergus J., Karki, Aditi, Pramanik, Raja , Bakkum‐Gamez, Jamie N. , Kaufmann, Scott H. , Yadav, Siddhartha

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 7118-7118

10.1158/1538-7445.am2025-7118 Get It

Abstract Background: Ovarian cancer is the sixth leading cause of cancer deaths among women in the United States. South Asians in the USA, including Asian Indians and Pakistani Americans (AIPA), are a rapidly growing yet under-researched group. This study aims to analyze the clinical features, survival rates, treatment, and outcomes of ovarian cancer among AIPA women in the United States. Methods: Adult women diagnosed with ovarian cancer between 2000 and 2023 within the Surveillance, Epidemiology, and End Results (SEER) registry were identified utilizing ICD codes. The analysis focused on comparing clinical characteristics and outcomes between AIPA and Non-Hispanic White (NHW)women and excluded all women of other races/ethnicities or unknown race/ethnicity. Baseline characteristics, including age at diagnosis, disease stage, and treatment, were compared between AIPA and NHW women utilizing a chi-squared test for categorical variables and a t-test for continuous variables. The 5-year overall survival (OS) was estimated for each race/ethnicity by the Kaplan-Meier method, and the OS was further compared between AIPA and NHW in a cox-proportional hazard regression analysis adjusting for age at diagnosis, grade, histology, TNM stage, surgical debulking, completeness of debulking surgery, and receipt of chemotherapy. Similar comparisons of baseline characteristics and OS were also performed in the subset of women with high-grade serous ovarian cancer (HGSOC). Result: A total of 86, 485 women met the inclusion criteria, of which 1, 179 were AIPA and 85, 306 were NHW. AIPA had a significantly younger median age at diagnosis compared to NHW women in the overall population (57 vs. 65 years, p&lt;0.001) and among 448 AIPA and 29, 677 NHW women with HGSOC (58 vs. 65 years, p&lt;0.001). Approximately two-thirds of women in both groups presented with Stage III or IV ovarian cancer at diagnosis and had a serous subtype of ovarian cancer. Similarly, after the exclusion of unknown grade, high-grade tumors accounted for more than two-thirds (75 vs. 72%) of the ovarian cancer cases in both groups. AIPA were more likely to undergo debulking surgery (85 vs. 80%, p&lt;0.001) and receive chemotherapy (77 vs. 72%, p&lt;0.001) compared to NHW women. The unadjusted 5-year OS for AIPA and NHW women were 56% vs. 43% in the overall population, and 53% vs. 41% among women with HGSOC, respectively. In multivariate analysis of the entire study population, AIPA women had a significantly better OS than NHW women (HR: 0.86, 95%CI: 0.79 - 0.94, p&lt;0.001). Among women with HGSOC, a similar trend of better OS was noted in multivariate analysis among AIPA women compared to NHW (HR: 0.88, 95%CI: 0.77 - 1.01, p=0.07), although this did not reach statistical significance. Conclusion: The younger age at diagnosis, along with a generally better prognosis, among AIPA women compared to NHW women, suggests a possible enrichment of DNA-repair gene alterations among AIPA women. Citation Format: Aditi Karki, Sumeet Kumar Yadav, Muhammad Rafiqul Islam, Raja Pramanik, Ramila Shilpakar Dangol, Zeba Aziz, Sandhya Pruthi, Maryam Shahi, Jamie N. Bakkum-Gamez, Scott H. Kaufmann, Fergus J. Couch, Siddhartha Yadav. Clinical characteristics and survival outcomes of ovarian cancer among South Asian women in United States [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7118.
Factors Associated With Stroke Recurrence After Initial Diagnosis of Cervical Artery Dissection
Mandel, Daniel , Shu, Liqi , Chang, Christopher , JACK, N , Henninger, Nils , Muppa, Jayachandra , Affan, Muhammad , Lodhi, Omair ul haq , Heldner, Mirjam R. , Omran, Setareh Salehi , Crandall, Ross , Lester, Evan, Araúz, Antonio , Boulanger, Marion , Sousa, João André , Barata, Vasco , Castro‐Chaves, Paulo , Brito, Maria Teresa , Khan, Muhib , Mallick, Dania, Rothstein, Aaron , Khazaal, Ossama , Traenka, Christopher , Sousa, Diana Aguiar de , Soares, Mafalda , Rosa, Sara , Zhou, Lily , Gandhi, Preet , Field, Thalia S. , Mancini, Steven, Pan, Kelly , Dantu, Vishnu , Baumgartner, Karl , Nolte, Christian H. , Choi, Richard , Macdonald, J , Ghannam, Malik , Almajali, Mohammad , Sanchez, Sebastian , Zine-Eddine, Fayçal, Poppe, Alexandre Y. , Fonseca, Ana Catarina , Baptista, Maria Fortuna , Cruz, Diana , Marco, Giovanna De , Griffin, Kim J. , Kuohn, Lindsey , Frontera, Jennifer , Amar, Jordan , Grisendi, Ilaria , Nzwalo, Hipólito , Liebeskind, David S. , Molaie, Amir , Cavalier, Annie, Kam, Wayneho , Grory, Brian Mac , Kasab, Sami Al , Eltatawy, Ali , Chervak, Lina , Rivas, Roberto Chulluncuy, Bakradze, Ekaterina , Tran, Thanh Lam , Ortiz-Garcia, Jorge , Muddasani, Varsha , Vishnu, Venugopalan Y. , Yaddanapudi, Sridhara , Adams, L, Browngoehl, Abigail, Dunston, Randy, Lynch, Zachary, Penckofer, Mary , Mayer, Silvia, Zubair, Adeel , Cheng, Yee Kuang, Ferreira, Vítor Mendes , Asad, Syed Daniyal , Sarwat, Zoha, Balabhadra, Anvesh , Patel, Shivam , Secchi, Thaís , Mantovani, Gabriel Paulo , Krishnaiah, Balaji , Lingam, Sivani, Khasiyev, Farid , Linares, Guillermo , Mannino, Marina , Terruso, Valeria, Vassilopoulou, Sofia , Tentolouris-Piperas, Vasileios , Wall, Victor Carrasco , Indraswari, Fransisca , Jamal, Sleiman El , Liu, Shilin, Alvi, Muhammad , Sarvath, Mohammed, Kass‐Hout, Tareq , Shi, Feina , Zhang, Jinhua , Said, Jamil , Mongare, Newnex, Sen, Shayak, Ghani, Mohammad R , Elnazeir, Marwa , Xiao, Han , Khan, Farhan , Mohammadzadeh, Nahid , Furie, Karen L. , Mandel, Daniel M , Jack, Naomi , Leon Guerrero, Christopher R , Henninger, Nils , Muppa, Jayachandra , Heldner, Mirjam R , Antonenko, Kateryna , Seiffge, David , Arnold, Marcel , Salehi Omran, Setareh , Crandall, Ross , Lopez Mena, Diego , Arauz, Antonio , Boulanger, Marion , Touzé, Emmanuel , Sousa, Joao Andre , Sargento-Freitas, Joao , Barata, Vasco , Castro-Chaves, Paulo , Brito, Maria Teresa , Khan, Muhib , Rothstein, Aaron , Khazaal, Ossama , Kaufman, Josefin E , Engelter, Stefan T , Traenka, Christopher , Aguiar de Sousa, Diana , Soares, Mafalda , Rosa, Sara , Zhou, Lily W , Gandhi, Preet , Field, Thalia S , Metanis, Issa , Leker, Ronen R , Dantu, Vishnu , Baumgartner, Karl , Burton, Tina , von Rennenberg, Regina , Nolte, Christian H , Choi, Richard , MacDonald, Jason , Bavarsad Shahripour, Reza , Guo, Xiaofan , Ghannam, Malik , Almajali, Mohammad , Samaniego, Edgar A , Sanchez, Sebastian , Rioux, Bastien , Poppe, Alexandre , Fonseca, Ana Catarina , Fortuna Baptista, Maria , Cruz, Diana , Romoli, Michele , Longoni, Marco , Keser, Zafer , Kuohn, Lindsey , Frontera, Jennifer , Giles, James , Zedde, Marialuisa , Pascarella, Rosario , Grisendi, Ilaria , Nzwalo, Hipolito , Liebeskind, David S. , Molaie, Amir , Kam, Wayneho , Mac Grory, Brian , Al Kasab, Sami , Anadani, Mohammad , Kicielinski, Kimberly , Eltatawy, Ali , Chervak, Lina , Aziz, Yasmin , Bakradze, Ekaterina , Rodrigo Gisbert, Marc , Requena, Manuel , Saleh Velez, Faddi , Garcia, Jorge Ortiz , Muddasani, Varsha , de Havenon, Adam H , Vishnu, Venugopalan Y , Adams, Latasha , Ranasinghe, Tamra , Penckofer, Mary , Siegler, James E , Mayer, Silvia , Willey, Joshua , Zubair, Adeel , Cheng, Yee Kuang , Sharma, Richa , Marto, João Pedro , Mendes Ferreira, Vítor , Klein, Piers , Nguyen, Thanh N , Asad, Syed Daniyal , Balabhadra, Anvesh , Martins, Sheila , Mantovani, Gabriel , Kim, Young Dae , Krishnaiah, Balaji , Elangovan, Cheran , Qureshi, Abid Y , Fridman, Sebastian , Alvarado-Bolanos, Alonso , Khasiyev, Farid , Linares, Guillermo , Mannino, Marina , Terruso, Valeria , Vassilopoulou, Sofia , Tentolouris-Piperas, Vasileios , Martinez Marino, Manuel , Carrasco Wall, Victor , Indraswari, Fransisca , El Jamal, Sleiman , Liu, Shilin , Sarvath, Mohammed , Morsi, Rami Z , Kass-Hout, Tareq , Shi, Feina , Zhang, Jinhua , Sokhi, Dilraj , Simpkins, Alexis N , Ghani, Mohammad , Elnazeir, Marwa , Xiao, Han , Khan, Farhan , Stretz, Christoph , Goldstein, Eric D , Furie, Karen L , Yaghi, Shadi , Seiffge, David , Nehme, Ahmad , Sargento‐Freitas, João , Kaufmann, Josefin E. , Engelter, Stefan T. , Metanis, Issa , Shahripour, Reza Bavarsad , Guo, Xiaofan , Keser, Zafer , Giles, James , Zedde, Marialuisa , Pascarella, Rosario , Aziz, Yasmin , Rodrigo‐Gisbert, Marc , Requena, Manuel , Velez, Faddi G. Saleh , Havenon, Adam de , Ranasinghe, Tamra , Siegler, James E. , Sharma, Richa , Marto, João Pedro , Klein, Piers , Nguyen, Thanh N. , Kim, Young Dae , Elangovan, Cheran , Alvarado‐Bolaños, Alonso , Martínez-Marino, Manuel , Ali, Farman, Morsi, Rami Z. , Simpkins, Alexis N. , Gomez, Roberto, Sen, Shayak, Kala, Narendra , Stretz, Christoph , Goldstein, Eric , Yaghi, Shadi

Stroke | March 27, 2025 | Volume: 56 | Issue: 6 | Pages: 1413-1421

10.1161/strokeaha.124.048215 | PMID 40143807 Get It

BACKGROUND: Patients presenting with cervical artery dissection (CAD) are at risk for subsequent ischemic events. We aimed to identify characteristics that are associated with increased risk of ischemic stroke after initial presentation of CAD and to evaluate the differential impact of anticoagulant versus antiplatelet therapy in these high-risk individuals. METHODS: This was a preplanned secondary analysis of the STOP-CAD study (Antithrombotic Treatment for Stroke Prevention in Cervical Artery Dissection), a multicenter international retrospective observational study (63 sites from 16 countries in North America, South America, Europe, Asia, and Africa) that included patients with CAD predominantly between January 2015 and June 2022. The primary outcome was subsequent ischemic stroke by day 180 after diagnosis. Clinical and imaging variables were compared between those with versus without subsequent ischemic stroke. Significant factors associated with subsequent stroke risk were identified using stepwise Cox regression. Associations between subsequent ischemic stroke risk and antithrombotic therapy type (anticoagulation versus antiplatelets) among patients with identified risk factors were explored using adjusted Cox regression. RESULTS: In all, 4023 patients (mean age was 47.4 years; 44.5% were women) were included. By day 180, subsequent ischemic stroke occurred in 5.3% of the cohort. In adjusted Cox regression, factors associated with increased risk of subsequent ischemic stroke were prior history of ischemic stroke (adjusted hazard ratio [aHR], 7.31 [95% CI, 1.61–33.13]; P =0.010), presentation within 7 days from first symptoms (aHR, 3.04 [95% CI, 1.04–8.91]; P =0.043), infarct on baseline imaging (aHR, 9.85 [95% CI, 3.65–26.58]; P <0.001), and occlusive dissection (aHR, 2.34 [95% CI, 1.03–5.34]; P =0.043). Only patients with occlusive dissection demonstrated a reduced risk of subsequent ischemic stroke when treated with anticoagulation versus antiplatelets (aHR, 0.36 [95% CI, 0.16–0.80]; P =0.01). CONCLUSIONS: In this post hoc analysis of the STOP-CAD study, several factors associated with subsequent ischemic stroke were identified among patients with CAD. Furthermore, we identified a potential benefit of anticoagulation in patients with CAD with occlusive dissection. These findings require validation by meta-analyses of prior studies to formulate optimal treatment strategies for specific high-risk CAD subgroups.
A Validity Analysis of Text-to-Image Generative Artificial Intelligence Models for Craniofacial Anatomy Illustration
Haider, Syed Ali , Gomez-Cabello, Cesar A. , Borna, Sahar , Pressman, Sophia M. , Genovese, Ariana , Trabilsy, Maissa , Galvao, Andrea , Murray, Peter M. , Parte, Yogesh, Yu, Yunguo , Tao, Cui , Forte, Antonio J. , Gomez-Cabello, Cesar A , Borna, Sahar , Galvao, Andrea , Tao, Cui , Forte, Antonio Jorge , Pressman, Sophia , Haider, Syed A , Genovese, Ariana , Prabha, Srinivasagam , Aziz, Keith T

Journal of Clinical Medicine | March 21, 2025 | Volume: 14 | Issue: 7 | Pages: 2136

10.3390/jcm14072136 | PMID 40217587 Get It

Background: Anatomically accurate illustrations are imperative in medical education, serving as crucial tools to facilitate comprehension of complex anatomical structures. While traditional illustration methods involving human artists remain the gold standard, the rapid advancement of Generative Artificial Intelligence (GAI) models presents a new opportunity to automate and accelerate this process. This study evaluated the potential of GAI models to produce craniofacial anatomy illustrations for educational purposes. Methods: Four GAI models, including Midjourney v6.0, DALL-E 3, Gemini Ultra 1.0, and Stable Diffusion 2.0 were used to generate 736 images across multiple views of surface anatomy, bones, muscles, blood vessels, and nerves of the cranium in both oil painting and realistic photograph styles. Four reviewers evaluated the images for anatomical detail, aesthetic quality, usability, and cost-effectiveness. Inter-rater reliability analysis assessed evaluation consistency. Results: Midjourney v6.0 scored highest for aesthetic quality and cost-effectiveness, and DALL-E 3 performed best for anatomical detail and usability. The inter-rater reliability analysis demonstrated a high level of agreement among reviewers (ICC = 0.858, 95% CI). However, all models showed significant flaws in depicting crucial anatomical details such as foramina, suture lines, muscular origins/insertions, and neurovascular structures. These limitations were further characterized by abstract depictions, mixing of layers, shadowing, abnormal muscle arrangements, and labeling errors. Conclusions: These findings highlight GAI’s potential for rapidly creating craniofacial anatomy illustrations but also its current limitations due to inadequate training data and incomplete understanding of complex anatomy. Refining these models through precise training data and expert feedback is vital. Ethical considerations, such as potential biases, copyright challenges, and the risks of propagating inaccurate information, must also be carefully navigated. Further refinement of GAI models and ethical safeguards are essential for safe use.
Study of linear energy transfer effect on rib fracture in breast cancer patients receiving pencil‐beam‐scanning proton therapy
Yang, Yunze, Afzal, Arslan, Mullikin, Trey C. , Gao, Robert W. , Shumway, Dean A. , Corbin, Kimberly S. , Liu, Wei , Mutter, Robert W. , Gergelis, Kimberly R. , Aziz, Khaled , Shen, Jiajian

Medical Physics | March 19, 2025 | Volume: 52 | Issue: 5 | Pages: 3428-3438

10.1002/mp.17745 | PMID 40102627 Get It

Abstract Background In breast cancer patients treated with pencil‐beam scanning proton therapy (PBS), the increased linear energy transfer (LET) near the end of the proton range can affect nearby ribs. This may associate with a higher risk of rib fractures. Purpose To study the effect of LET on rib fracture in breast cancer patients treated with PBS using a novel tool of dose‐LET volume histogram (DLVH). Methods From a prospective registry of patients treated with post‐mastectomy proton therapy to the chest wall and regional lymph nodes for breast cancer between 2015 and 2020, we retrospectively identified rib fracture cases detected after completing treatment. Contemporaneously treated control patients who did not develop rib fracture were matched to patients 2:1 considering prescription dose, boost location, reconstruction status, laterality, chest wall thickness, and treatment year. The DLVH index, V (d, l), defined as volume( V ) of the structure with at least dose(d) and dose‐averaged LET (l) (LETd), was calculated. DLVH plots between the fracture and control group were compared. Conditional logistic regression (CLR) model was used to establish the relation of V (d, l) and the observed fracture at each combination of d and l . The p ‐value derived from CLR model shows the statistical difference between fracture patients and the matched control group. Using the 2D p ‐value map derived from CLR model, the DLVH features associated with the patient outcomes were extracted. Results Seven rib fracture patients were identified, and fourteen matched patients were selected for the control group. The median time from the completion of proton therapy to rib fracture diagnosis was 12 months (range 5–14 months). Two patients had grade 2 symptomatic rib fracture while the remaining 5 were grade 1 incidentally detected on imaging. The derived p ‐value map demonstrated larger V (0–36 Gy[RBE], 4.0–5.0 keV/µm) in patients experiencing fracture ( p < 0.1). For example, the p ‐value for V (30 Gy[RBE], 4.0 keV/um) was 0.069. Conclusion In breast cancer patients receiving PBS, a larger volume of chest wall receiving moderate dose and high LETd may result in an increased risk of rib fracture.
Outcomes of arteriovenous malformation patients with multiple versus single feeders: A multicenter retrospective study with propensity-score matching
Musmar, Basel , Adeeb, Nimer , Abdalrazeq, Hammam , Tjoumakaris, Stavropoula I, Salim, Hamza , Kondziolka, Douglas, Sheehan, Jason P. , Ogilvy, Christopher S. , Riina, Howard A. , Naamani, Kareem El, Ironside, Natasha , Ataoglu, Cagdas , Keleş, Abdullah , Muram, Sandeep , Sconzo, Daniel , Rezai, Arwin, Alwakaa, Omar , Erginoğlu, Ufuk , Sen, Rajeev , Griessenauer, Christoph J., Burkhardt, Jan-Karl, Starke, Robert M., Başkaya, Mustafa K. , Levitt, Michael R, Altschul, David , McAvoy, Malia , Aslan, Assala , Abushehab, Abdallah, Swaid, Christian, Abla, Adib A. , Sizdahkhani, Saman , Koduri, Sravanthi , Atallah, Elias , Karadimas, Spyridon, Gooch, M Reid, Rosenwasser, Robert H. , Stapleton, Christopher J. , Koch, Matthew J. , Srinivasan, Visish M. , Cochran, Joseph, Pukenas, Bryan , Smith, Edward, Patel, Aman B. , Cuellar, Hugo H, Lawton, Michael T. , Guthikonda, Bharat , Ogilvy, Christopher S. , Alaraj, Ali , Smith, Edward R. , Salim, Hamza , Essibayi, Muhammed Amir , Alwakaa, Omar , Mosimann, Pascal J , Jabbour, Pascal , Alaraj, Ali , Abla, Adib , Altschul, David J , Musmar, Basel , Ogilvy, Christopher S , Keles, Abdullah , Erginoglu, Ufuk , Smith, Edward , Burkhardt, Jan‐Karl , Roy, Joanna M. , Tjoumakaris, Stavropoula , Kandregula, Sandeep , Dmytriw, Adam A. , Naamani, Kareem El , Abdelsalam, Ahmed , Kumbhare, Deepak , Essibayi, Muhammed Amir , Rezai, Arwin, Tos, Salem M , Pöppe, Johannes , Sen, Rajeev D, Griessenauer, Christoph J. , Sekhar, Laligam N. , Karadimas, Spyridon K. , Gooch, Michael Reid , Chen, Peng R , Blackburn, Spiros , Choudhri, Omar , Orbach, Darren B. , Aziz‐Sultan, Mohammad Ali , Morcos, Jacques J. , Jabbour, Pascal

European Stroke Journal | February 15, 2025 | Volume: 10 | Issue: 3 | Pages: 946-960

10.1177/23969873251319924 | PMID 39953956 Get It

Abstract Introduction The impact of multiple feeding arteries on clinical outcomes of cerebral arteriovenous malformations (AVMs) is not well understood. This study aims to compare outcomes between AVMs with multiple versus single feeding arteries. Patients and Methods Data from the Multicenter International Study for Treatment of Brain AVMs (MISTA) consortium were analyzed. Propensity score matching (PSM) was used to balance cohorts. Subgroup analysis was conducted for ruptured and unruptured AVMs and different treatment options, and multivariable logistic regression was applied to assess the impact of feeding artery origin. Results Among 953 patients, 661(69.4%) had multiple feeding arteries, and 292 (30.6%) had a single feeding artery. After PSM, which included 422 matched patients (211 in each group), the differences in obliteration rates (68.7% vs 74.8%, OR 0.73, 95% CI: 0.48–1.12, p = 0.16) and symptomatic complications (15.6% vs 11.8%, OR 1.37, 95% CI: 0.78–2.41, p = 0.25) were not significant. Subgroup analysis comparing ruptured and unruptured AVMs and different treatment options showed no significant differences across all subgroups. Multivariable analysis identified PICA feeders as significantly associated with increased odds of all complications (OR 7.33, 95% CI: 2.14–25.1, p = 0.002). Discussion and Conclusion AVMs with a single feeding artery were more likely to present with rupture, but no significant differences in obliteration rates or complications were observed between the groups after PSM. These findings suggest that while the number of feeding arteries may influence the initial presentation, it does not appear to impact overall treatment success or patient prognosis. Further prospective studies are needed to confirm these findings.
Comparative outcomes of arteriovenous malformations treatment in eloquent versus non-eloquent brain: A multicenter study with propensity-score weighting
Adeeb, Nimer , Abdalrazeq, Hammam , Salim, Hamza , Aslan, Assala , Tjoumakaris, Stavropoula I, Ogilvy, Christopher S. , Başkaya, Mustafa K. , Kondziolka, Douglas, Sheehan, Jason P. , Riina, Howard A. , Abushehab, Abdallah, Naamani, Kareem El, Ironside, Natasha , Gummadi, Sanjeev, Ataoglu, Cagdas , Keleş, Abdullah , Muram, Sandeep , Sconzo, Daniel , Rezai, Arwin, Alwakaa, Omar , Park, Min S. , Erginoğlu, Ufuk , Sen, Rajeev , Griessenaur, Christoph, Burkhardt, Jan‐Karl , Starke, Robert M., Sekhar, Laligam N., Altschul, David , Haranhalli, Neil , McAvoy, Malia , Zeineddine, Hussein A. , Abla, Adib A. , Atallah, Elias , Rosenwasser, Robert H. , Stapleton, Christopher J. , Koch, Matthew, Srinivasan, Visish M. , Bulsara, Ketan R., Kim, Louis J. , Pukenas, Bryan , Smith, Edward R. , Alaraj, Ali , Patel, Aman B. , Notarianni, Christina , Lawton, Michael T. , Guthikonda, Bharat , Salim, Hamza , Dmytriw, Adam A , Levitt, Michael R , Chen, Peng R , Alaraj, Ali , Guthikonda, Bharat , Jabbour, Pascal , Abla, Adib , Altschul, David J , Ogilvy, Christopher S , Alwakaa, Omar , Keles, Abdullah , Erginoglu, Ufuk , Smith, Edward , Burkhardt, Jan‐Karl , Musmar, Basel , Roy, Joanna M. , Tjoumakaris, Stavropoula , Kandregula, Sandeep , Dmytriw, Adam A. , Naamani, Kareem El , Abdelsalam, Ahmed , Kumbhare, Deepak , Essibayi, Muhammed Amir , Tos, Salem M , Mantziaris, Georgios , Hanalıoğlu, Şahin , Pöppe, Johannes , Sen, Rajeev D, Griessenauer, Christoph J. , Sekhar, Laligam N. , Levitt, Michael R. , Gooch, Michael Reid , Koch, Matthew J. , Blackburn, Spiros , Kim, Louis J. , Choudhri, Omar , Mosimann, Pascal J , Aziz‐Sultan, Mohammad Ali , Savardekar, Amey Rajan , Cuellar, Hugo , Morcos, Jacques J. , Jabbour, Pascal

International Journal of Stroke | February 14, 2025 | Volume: 20 | Issue: 7 | Pages: 852-863

10.1177/17474930251323503 | PMID 39948730 Get It

Background: Arteriovenous malformations (AVMs) are complex vascular anomalies with a high risk of hemorrhage and neurological deficits, especially when located in eloquent brain regions. The eloquence of an AVM location is a critical factor in the treatment planning, influencing both the risk of complications and long-term functional outcomes. This study aims to compare outcomes between eloquent and non-eloquent AVMs. Methods: This multicenter, retrospective study utilized data from the Multicenter International Study for Treatment of Brain AVMs (MISTA) consortium. Patients with eloquent and non-eloquent AVMs were compared on baseline characteristics, angiographic outcomes, and functional outcomes using the modified Rankin Scale (mRS). Propensity score weighting (IPTW) was applied to adjust for confounding variables. Results: The study included 1013 patients, with 498 (49.2%) AVMs located in eloquent regions and 515 (50.8%) in non-eloquent regions. In unadjusted analysis, eloquent AVMs had lower complete obliteration rates (67.6% vs 79.5%, OR: 0.53, 95% CI: 0.39–0.72, p < 0.001) and higher complication rates (24.5% vs 19.0%, OR: 1.38, 95% CI: 1.02–1.86, p = 0.03) compared to non-eloquent AVMs. After IPTW adjustment, eloquent AVMs continued to show significantly higher odds of overall complications (OR: 1.68, 95% CI: 1.12–2.52, p = 0.01) and symptomatic complications (OR: 1.77, 95% CI: 1.12–2.80, p = 0.01). Secondary analysis within the eloquent group indicated that embolization was linked to an elevated risk of complications. Surgery and radiosurgery showed comparable functional outcomes at last follow-up and complications rates with higher complete obliteration rates in surgery. Conclusion: AVMs in eloquent brain areas present higher risks of complications and lower obliteration rates, emphasizing the need for cautious, individualized treatment planning. Within the eloquent group, embolization increased the risk of complications, while surgery and radiosurgery showed comparable functional outcomes at last follow-up and complication rates with higher complete obliteration rates in surgery. These findings highlight the importance of location in AVM management and support further research focusing on comparing treatment strategies for AVMs in eloquent brain areas.
Efficacy and safety of preoperative embolization in surgical treatment of brain arteriovenous malformations: a multicentre study with propensity score matching
Salim, Hamza , Hamdan, Dawoud, Adeeb, Nimer , Aslan, Assala , Musmar, Basel , Ogilvy, Christopher S. , Dmytriw, Adam A. , Ataoglu, Cagdas , Erginoğlu, Ufuk , Naamani, Kareem El, Sheehan, Jason P. , Ironside, Natasha , Gummadi, Sanjeev, Keleş, Abdullah , Muram, Sandeep , Sconzo, Daniel , Rezai, Arwin, Alwakaa, Omar , Sen, Rajeev , Başkaya, Mustafa K. , Tjoumakaris, Stavropoula , Atallah, Elias , Riina, Howard A. , Abushehab, Abdallah, Swaid, Christian, Burkhardt, Jan‐Karl , Starke, Robert M., Altschul, David , Haranhalli, Neil , McAvoy, Malia , Abla, Adib A. , Stapleton, Christopher J. , Koch, Matthew J. , Srinivasan, Visish M. , Cochran, Joseph, Pukenas, Bryan , Smith, Edward R. , Moehlenbruch, Markus, Alaraj, Ali , Patel, Aman B. , Yedavalli, Vivek , Cuellar, Hugo H, Lawton, Michael T. , Guthikonda, Bharat , Aslan, Assala , Musmar, Basel , Ogilvy, Christopher S , Dmytriw, Adam A , Essibayi, Muhammed Amir , Alwakaa, Omar , Griessenauer, Christoph J , Jabbour, Pascal , Altschul, David J , Koch, Matthew J , Chen, Peng R , Orbach, Darren B , Alaraj, Ali , Yedavalli, Vivek S , Abla, Adib , Salim, Hamza , Keles, Abdullah , Erginoglu, Ufuk , Smith, Edward , Hamdan, Dawoud , Kandregula, Sandeep , Abdelsalam, Ahmed , Kondziolka, Douglas , Naamani, Kareem El , Kumbhare, Deepak , Essibayi, Muhammed Amir , Tos, Salem M , Rezai, Arwin, Pöppe, Johannes , Sen, Rajeev D, Griessenauer, Christoph J. , Jabbour, Pascal , Sekhar, Laligam N. , Levitt, Michael R. , Blackburn, Spiros , Choudhri, Omar , Orbach, Darren B. , Mosimann, Pascal J , Aziz‐Sultan, Mohammad Ali , Wintermark, Max , Savardekar, Amey Rajan , Morcos, Jacques J.

Journal of Neurology, Neurosurgery & Psychiatry | February 6, 2025 | Volume: 96 | Issue: 8 | Pages: 766-774

10.1136/jnnp-2024-334974 | PMID 39915091 Get It

Background Brain arteriovenous malformations (AVMs) are abnormal connections between feeding arteries and draining veins, associated with significant risks of haemorrhage, seizures and other neurological deficits. Preoperative embolization is commonly used as an adjunct to microsurgical resection, with the aim of reducing intraoperative complications and improving outcomes. However, the efficacy and safety of this approach remain controversial. Methods This study is a subanalysis of the Multicenter International Study for Treatment of Brain AVMs consortium. We retrospectively analysed 486 patients with brain AVMs treated with microsurgical resection between January 2010 and December 2023. Patients were divided into two groups: those who underwent microsurgery alone (n=245) and those who received preoperative embolization, followed by microsurgery (n=241). Propensity score matching was employed, resulting in 288 matched patients (144 in each group). The primary outcomes were rates of complete AVM obliteration and functional outcomes (measured by the modified Rankin Scale (mRS)). Secondary outcomes included complication rates, mortality, hospital length of stay and postsurgical rupture. Results After matching, the complete obliteration rate was 97% with no significant difference between the microsurgery-only group and the preoperative embolization group (p=0.12). The proportion of patients with an mRS score of 0–2 at the last follow-up was similar in both groups (83% vs 84%; p=0.67). The median hospital stay was significantly longer for the embolisation group (9 days vs 7 days; p=0.017). Complication rates (24% vs 22%; p=0.57) and mortality rates (4.9% vs 2.1%; p=0.20) were comparable between the two groups. No significant differences were observed in postsurgical rupture, recurrence or retreatment rates. Conclusions In this large multicentre study, preoperative embolization did not significantly improve AVM obliteration rates, functional outcomes or reduce complications compared with microsurgery alone.