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99 citation(s) found for "Fahad, S".

Global Burden of Elevated LDL-C
Collaborators, GBD 2023 LDL Cholesterol, Razo, Christian, DeCleene, Nicole K., Johnson, Catherine O., Stark, Benjamin, LeGrand, Kate, Aalruz, Hasan, Abaraogu, Ukachukwu O., Abdelnabi, Mahmoud, Abd-Elsalam, Sherief, Abdelwahab, Siddig Ibrahim, Abdollahi, Arash, Abdrabou, Mostafa M., Abdul‐Rahman, Toufik , Getahun, Habtamu Abebe, Abiodun, Olumide, Abohashem, Shady, Abonie, Ulric Sena , Abourashed, Nagah M , Abramov, Dmitry, Abrar, Mohammed Mehdi, Farha, Rana Kamal Abu, Abubakar, Bilyaminu, Aburuz, Salahdein, Abushanab, Dina, Adams, Lisa C., Adamu, Nuhu Lawan Lawan, Adegbile, Oluwatobi E , Adegoke, Nurudeen A., Adekola, Saheed Ayodeji, Adeleke, Olumide Thomas , Adesina, Miracle Ayomikun, Afoakwah, Clifford, Afolabi, Aanuoluwapo Adeyimika, Afrashteh, Fatemeh , Afrifa-Yamoah, Ebenezer, Agyemang‐Duah, Williams , Ahmad, Suhaib, Ahmed, Asma , Ahmed, Gasha Salih, Ahmed, Luai A., Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh , Ahmed, M. , Ahmed, Mushood, Ahmed, Syed Anees, Ahmed, Zohra, Aiyer, Aishwarya, Ajami, Marjan, Akalanka, Kasuni H.M. , Akhtar, Muhammad Nadeem, Akrami, Ashley E, Akyea, Ralph Kwame, Hasan, Syed Mahfuz Al , Zoubi, Mohammad Ahmmad Mahmoud Al, Alahdab, Fares , Al-Ahmad, Mohammad M. , Alajajian, Stephen , Alajlani, Muaaz , Alalwan, Tariq A., Al-Amri, Issa Sulaiman, Alanzi, Turki M., Alarifi, Abdullah, Al-Azzam, Sayer, Albashtawy, Mohammed, Al-Dewik, Nader, Algahtani, Fahad D., Algammal, Abdelazeem M, Alhalaiqa, Fadwa Naji, Ali, Mohammad Daud , Ali, Mohammed Usman, Ali, Rafat, Ali, Syed Shujait, AL-Iede, Montaha, Alipour, Morteza, Al-Jabi, Samah W., Alkhatib, Mayson H. , Allawi, Raad Hatim , Allemailem, Khaled S. , (6837737), Mohammed Z. Allouh, Almahmeed, Wael, Al-Marwani, Sabah , Almazan, Joseph Uy, Alnaeem, Mohmmad Minwer, Alotaibi, Haifa F. F., Alqahtani, Saleh A, Alqudah, Mohammad , Alqudimat, Mohammad R, Al-Qudimat, Ahmad Rajeh, Alrimawi, Intima , Alrousan, Sahel Majed, Alshahrani, Najim Z., Altaany, Zaid, Altaf, Awais, Althobiani, Malik A., Altwalbeh, Diala, Al-Worafi, Yaser Mohammed, Aly, Hany, Alzoubi, Karem H., Al-Zubairi, Adel S., Amafah, Joy, Mohammadi, Masoud Aman, Amini, Saeed, Amini-Salehi, Ehsan, Ananda, Roshan A., Ancuceanu, Robert, Anil, Abhishek, Anjana, Prapti, Anuoluwa, Boluwatife Stephen, Anvari, Saeid, Anwar, Sumadi Lukman, Anyasodor, Anayochukwu Edward , Appati, Walter, Arafa, Elshaimaa A , Aravkin, Aleksandr Y. , Areda, Demelash, Aregawi, Brhane Berhe, Torre, Jorge Arias de la, Arruda, Gustavo Aires , Asghari-Jafarabadi, Mohammad , Ashraf, Saad , Asare, Bernard Yeboah‐Asiamah , Atac, Omer, Athari, Seyyed Shamsadin, Atorkey, Prince , Aurangzeb, Khursheed, Awan, Usman Ayub , Awol, Kemal Lemnuro Lemnuro, Ayala, Camila Ospina , Ayli, Berrak Itir, Azad, A.K.M., Azzam, Ahmed Y., Babiker, Rasha, Badar, Muhammad, Badran, Alaa Aboelnour, Baghlaf, Khlood K., Balabekova, Marina, Balakrishnan, Senthilkumar , Baltatu, Ovidiu Constantin , Banach, Maciej, Bashir, Muhammad Irfan , Bashir, Shahid, Bashiri, Azadeh, Bastan, Mohammad-Mahdi, Bayat, Mahdis , Behera, Surama Manjari , Belayneh, Melesse, Bello, Abdulrahman Babatunde , Belo, Luís, Bhaskar, Sonu, Bizzozero-Peroni, Bruno, Bogale, Sitotaw Kerie, Bolourinejad, Paria , Bonny, Aimé , Carvajal, Alejandro Botero, Bouaoud, Souad, Britton, Gabrielle, Bustanji, Yasser, Butt, Zahid A., Cao, Yu, Catapano, Alberico L., Cegolon, Luca, Cembranel, Francieli , Chadwick, Joshua , Chau, Lam Duc, Chaudhary, Anis Ahmad, Chen, An-Tian, Chen, Hana, Chen, Haowei , Cheng, Haojin, Cheung, Ka Ching , Chew, Nicholas WS, Chi, Gerald, Cho, William C. S., Chong, Bryan, Chopra, Deepti, Chopra, Shivani , Cicero, Arrigo Francesco Giuseppe, Criqui, Michael H., Cruz-Martins, Natalia, Dahabiyeh, Lina, Khatri, Bishal Dahal , Dalakoti, Mayank, D’Amico, Emanuele, Damtie, Endalamaw Tesfa, Dandona, Lalit , Dandona, Rakhi, D’Anna, Lucio , Danpanichkul, Pojsakorn, Dardas, Latefa Ali , Das, Sayan Kumar, Davletov, Dimash, Dergaa, Ismail, Derseh, Hunegnaw Almaw , Desale, Aragaw Tesfaw, Devanbu, Vinoth Gnana Chellaiyan, Devegowda, Devananda, Dewan, Syed Masudur Rahman, Dhali, Arkadeep , Dhungel, Bibha, Silva, Diana Dias da, Didehvar, Kimia, Ding, Xueting, Do, Thanh Chi, Do, Thao Huynh Phuong, Dohare, Sushil, Dong, Dachuan, D’Oria, Mario, Dorostkar, Fariba, Doshi, Ojas Prakashbhai, Dresse, Menayit Tamrat , Du, Mi, Ebraheim, Lamiaa Labieb Mahmoud, Edeh, Cynthia , Eftekhari, Behrad, Sedeh, Ashkan Eighaei , Ekholuenetale, Michael , Arab, Rabie Adel El , Eldaboush, Ahmed, El-Dahiyat, Faris , Elhoumed, Mohamed, Elmeligy, Omar Abdelsadek Abdou, Elmonem, Mohamed A., Elmoselhi, Adel B., Elnaem, Mohamed Hassan , Eltahawy, Abdelgawad Salah, Etaee, Farshid, Fakhradiyev, Ildar , Fakorede, Sodiq, Farasani, Abdullah , Fareed, Mohammad , Farhana, Aisha, Faris, MoezAlIslam Ezzat Mahmoud, Farsi, Farima , Fatima, Zareen, Fazylov, Timur, Fekadu, Ginenus , Ferreira, Nuno, Fischer, Florian, Fonzo, Marco , Gadanya, Muktar A., Galali, Yaseen, Ganesh, Balasubramanian , Gangachannaiah, Shivaprakash, Gao, Dingwei, Garcia-Azorin, David, Garg, Paarth, Gautam, Rupesh K., Gaye, Bamba , Gebresilassie, Mizan Habtemichael, Gete, Kalab Yigermal , Ghadirian, Fataneh, Ghaffari, Kazem , Ghamkhar, Arin, Gharaibeh, Lobna, Ghasemi, Mohammadreza, Ghimire, Sailaja, Gil, Artyom Urievich, Gilani, Syed Abdullah , Gohari, Kimiya, Gohil, Megha Nishith , Golechha, Mahaveer, Goleij, Pouya , Golmohammadi, Melika , Goyal, Aman, Grada, Ayman, Grover, Ashna , Gu, Long, Gufue, Zenawi Hagos , Guo, Zheng, Gupta, Sapna , Gurgoglione, Filippo Luca, Haghtalab, Arian, Nam, Nguyen Hai, Hailu, Kirubel Tesfaye , Halder, Pritam, Hamdy, Nadia M., Hamidi, Hossein , Hamidi, Samer, Hamoudi, Rifat, Harsini, Sara, Hasnain, Md Saquib , Hassan, Ikrama, Hassan, Nageeb, Hassan, Treska S , Ahmed, Omed Hassan , Hebert, Jeffrey J., Helmy, Yosra A. , Hiraike, Yuta, Holla, Ramesh, Hoseinzadeh, Mehdi, Hostiuc, Mihaela , Hostiuc, Sorin, Hotwani, Priya, Hu, Yifei, Huang, Junjie, Huang, Yu-Song, Hushmandi, Kiavash, Hussein, Dursa, Hussein, Mohammed Asif , Ibrahim, Ismail A., Ibrayeva, Anel, Ikiroma, Adalia , Ikram, Jibran, Ilic, Irena M., Imam, Mohammad Tarique , Imani, Masoud, Imodoye, Sikiru Opeyemi, Imoh, Lucius Chidiebere , Ionescu, Andreea Iuliana, Ionescu, Radu Tudor, Iqhrammullah, Muhammad, Ishaqui, Azfar Athar, Islek, Duygu , ISMAIL, NAHLAH ELKUDSSIAH, Ismoldayev, Yerlan, Iwagami, Masao , Iyer, Mahalaxmi, Izquierdo-Condoy, Juan S.S., Jafari-Khounigh, Ali , Jahanshahi, Ali, Jahrami, Haitham , Jakovljevic, Mihajlo, Jamal, Armaan, Jamali, Navid, Jamaluddin, Jazlan , Jamshidi, Masoud, Jansen, Robin , Jarrahi, Esmaeil , Javaid, Syed Sarmad , Jawaid, Talha, JEBASINGH, FELIX, Jemal, Mohammed, Ji, Zixiang , Jibat, Nathan T., Jin, Wenyi , Jokar, Mohammad, Joseph, Nitin, Raj, Jesu Vijay Sheldon Joseph Michael, Joshi, Krupal, Joshua, Charity Ehimwenma, Jung, Sang-Hyuk, K, Vaishali, Kadir, Dler Hussein , Kahe, Farima, Kalani, Rizwan, Kalra, Sanjay, Kamenova, Saltanat, Kamorudeen, Ramat T., Kamyshnyi, Oleksandr, Kansal, Subham, Kantar, Rami S., Kar, Debasish , Karakasis, Paschalis, Karimi, Aliasghar, Behnagh, Arman Karimi , Karun, Sadanand , Kazemian, Sina, Kesse-Guyot, Emmanuelle, Khaleel, Anas, Khalid, Nauman, Khalid, Sidra, Khalil, Anees Ahmed , Khan, Ajmal, Khan, Md Abdullah Saeed, Khan, Moien AB, Khan, Muhammad Hamza , Khan, Serab, Khan, Sumaiya, Khan, Yusuf S. , Kheirallah, Khalid A, Khoshvaght, Samira, Khosravi, Sepehr, Kim, Hye Jun, Kim, Kwanghyun, Kisa, Adnan, Kishore, Ladli, Kokkorakis, Michail, Kondybayeva, Aida, Krishan, Kewal, Kua, Chong-Han, Kuddus, Mohammed, Kulimbet, Mukhtar , Kulkarni, Vishnutheertha, Kumar, Dewesh , Kumar, Nitesh, Kumar, Sanjay Kirshan, Kunutsor, Setor K., Kurpad, Krishna Prasad , Kusuma, Dian, Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Lajunen, Timo, Lakanova, Balzhan, Lallukka, Tea, Larsson, Anders O., Le, Duc Tin , Le, Thao T. , Le, Thoa, Le, Trang Thi Bich , Ledda, Caterina, Lee, Hayeon, Lee, Sang-woong, Lee, Sergey Vadimovich, Lee, Seung Won, Leivaditis, Vasileios, Lema, Gebretsadik Kiros , Lemma, Dawit Alemu, Lenjisa, Jimma, Lewis, Mitchelle Shilpa , Li, Chengfeng , Li, Xingang , Li, Yongze, Lim, Lee-Ling, Lindholm, Daniel , Liu, Haipeng , Liu, Xianliang, Liu, Xuefeng, Liu, Yubo, Livingstone, Katherine M., Llanaj, Erand , Lokunarangoda, Niroshan Chandrajith, López-Gil, José Francisco, Lui, Pauline Po Yee, Luo, Peng, Lv, Lei, Lytvyak, Ellina, Ma, Kevin Sheng-Kai, Mabrok, Mahmoud, Machoy-Rakoczy, Monika , Madinehzad, Seyed Ataollah , Maffia, Pasquale, Gomez, Javier A. Magaña, Mahmood, Nozad Hussein, Malik, Md. Zubbair, Malta, Deborah Carvalho, MAMAND, DOSTE RASHID, Maniya, Muhammad Talha, Mansoor, Farheen, Mansourian, Marjan, Manzoor, Shaista, Marghani, Basma Hamed, Martinez-Piedra, Ramon, Martini, Santi, Martorell, Miquel, März, Winfried, Marzouk, Sammer, Masi, Stefano, Masrouri, Soroush , Maude, Richard J. , Mavrovounis, Georgios, McPhail, Steven M., Mendoza, Walter, Menezes, Ritesh G., Mengistie, Emiru Ayalew, Menon, Tara P., Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege, Metwally, Mohamed M.M., Jonasson, Junmei Miao , Mikrajab, Muhammad Agus Naufal, Minhas, Abdul Mannan Khan, Mirrakhimov, Erkin M., Mitra, Sayan , Mitra, Tridip, Modi, Dhruti, Mohamed, Mona Gamal, Ahmed, Khabab Abbasher Hussien Mohamed, Mohammad, Ameen Mosa , Mohammadi, Saeed, Mohammed, Omer, Mohan, Syam , Molla, Tewodros Shibabaw, Molokhia, Mariam, Moni, Mohammad Ali, Namin, Sara Montazeri , Morovvati, Mahdis, Heris, Reza Mosaddeghi, Motappa, Rohith, Mousavi, Seyed Ahmad , Kiasary, Seyed Mohamad Sadegh Mousavi, Yousefi, Kimia Mozahheb , Mubarik, Sumaira, Munkhsaikhan, Yanjinlkham, Musa, Sani, Mwita, Julius C., Nabipoorashrafi, SeyedAli, Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R., Naik, Hiten, Nainu, Firzan, Nartey, Yvonne , Nassar, Mahmoud, Natto, Zuhair S., Naureen, Zakira, Nawaiseh, Hala Khaled, Nayak, Biswa Prakash, Nayak, Vinod C., Nazari, Mojdeh, Ndakotsu, Andrew , Nega, Amanuel Tebabal , Nega, Mulata H., Negash, Abigia Ashenafi, Negoi, Ionut, Nguyễn, Cao Duy, Nguyen, Cuong Tat , Nguyen, Hau Thi Hien, Nguyen, Nghia Phu , Nguyen, Phat Tuan , Nguyen, Van Thanh, Niazi, Robina Khan, Nomura, Shuhei , Noreen, Mamoona , Nawsherwan, Noubiap, Jean Jacques, Nugen, Fred, Nur, Aqsha, Odediji, Saheed Adeyinka, Ogunmodede, O.S., Ojedoyin, Olusegun Olatunji , Ojo, Oluwafemi Adeleke , Okati-Aliabad, Hassan, Oliveira, Gláucia Maria Moraes, Olorukooba, Abdulhakeem Abayomi, Ong, Qi Chwen, Orru, H, Ortiz, A., Ortiz-Prado, Esteban, Osborne, Augustus, Osei, George Nkrumah , Ostrominski, John W. , Oumer, Abdu, Ouyahia, Amel, Owolabi, Mayowa O., Oyebola, Kolapo, Ozsahin, Ilker, Anand, Mahesh Padukudru, Palicz, Tamás , Panda, Sujogya Kumar , Pandi-Perumal, Seithikurippu R., Panos, Georgios D., Papadimopoulos, Ilias, Parija, Pragyan Paramita , Parikh, Romil R., Pascucci, Eleonora, Pasovic, Maja , Passera, Roberto, Patel, Mitesh, Patel, Niki Rut, Patel, Satyananda, Patil, Ashlesh, Patil, Shankargouda, Patoulias, Dimitrios, Pattnaik, Snigdha, Toroudi, Hamidreza Pazoki, Pekarcikova, Jarmila, Peprah, Prince, Pereira, Gavin, Pirera, Edoardo , Plotnikov, Evgenii, Poluru, Ramesh, Prasad, Manya, Prashant, Akila, Prates, Elton Junio Sady, Pugliese, Nicola Riccardo, Puvvula, Jagadeesh, Qi, Xiang, Qureshi, Ali, Radhakrishnan, Venkatraman, Raghav, Pankaja, Raghav, Yashpal Singh Raghav, Raghuveer, Pracheth , Rahim, Fakher , Rahim, Hawbash Mohammed-Amin, Rahimi, Sajjad, Rahman, Fryad Majeed, Rahman, M Sajjadur , Rahman, Mohammad Hifz Ur, Rahman, Mosiur, Rajendran, Judah, Rajput, Prashant, Ramasamy, Chitra, Ramasamy, Shakthi Kumaran, Rao, Asad Gul , Rao, Mithun , Rao, Sowmya J, Rasouli-Saravani, Ashkan, Rath, Shree, Rathi, Isha, Rawaf, David Laith , Rawaf, Salman, Reddy, Murali Mohan Rama Krishna, Rezaei, Mina, Rezaei, Nazila, Rezaeian, Mohsen , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo, Ross, Allen Guy Patrick, Rubeshkumar, Polani, Rwegerera, Godfrey Mutashambara , Saad, Aly M. A., Sabet, Cameron John, Sadarangani, Kabir P., Rafiei, Seyed Kiarash Sadat, Sadeghi, Ehsan, Sadeghi, Erfan, Sadeghi, Masoumeh, Sadek, Bassem, Sadek, Mustafa, Sadr, Hossein, Saeb, Mohammad Reza, Saeed, Umar, Saeedi, Maryam , Safiullah, Muhammad , Sahebkar, Amirhossein, Sajadi, S Mohammad, Saleh, Mohamed A., Salehi, Mahdi , Salimi, Sohrab, Samargandy, Saad, Samy, Abdallah M., Saravanan, Aswini , Sarfo, Jacob Owusu, Sarode, Gargi Sachin, Sarode, Sachin C., Sathian, Brijesh, Far, Mehrdad Savabi, Schlaich, Markus P., Schuermans, Art, Sejben, Anita, Semreen, Mohammad H., Senol, Yigit Can, Sessa, Francesco, Sewor, Christian , Seylani, Allen, Shahrahmani, Fatemeh, Shahwan, Moyad Jamal, Sham, Sunder, Shan, Dan, Sharifan, Amin , Sharma, Kamal, Sharma, Ravi Kumar, Sharma, Ujjawal , Shehzadi, Somia , Shetty, Mahabalesh, Shetty, Pavanchand H, Shi, Fanchao , Shi, Huizhong , Shi, Yongfeng, Shiri, Rahman , Shittu, Aminu, Shiue, Ivy, Shoaib, Ambreen, Shool, Sina, Shorofi, Seyed Afshin, Shuval, Kerem, Sia, Ching-Hui, Silva, Luís Manuel Lopes Rodrigues, Singh, Amit, Singh, Baljinder, Singh, Harmanjit, Singh, Harpreet, Singh, Lucky, Singh, Paramdeep, Singh, Siddharth , Singh, Sunil Kumar, Singh, Surjit, Singh, Vanshika , Sinha, Mukesh Kumar, Skryabin, Valentin Yurievich, Sokhal, Balamrit Singh , Sood, Prashant , Soraneh, Soroush , Sorensen, Reed J D , Srivastav, Prateek , Stanikzai, Muhammad Haroon , Starodubova, Antonina V., Stubbs, Peter, Suhag, Alisha, Sulaiman, Sahabi K., Odidi, Muritala Suleiman, Sulistiyorini, Desy , Sun, Jing , Sun, Zhong, Szarpak, Lukasz, Ty, Sree Sudha, Damavandi, Payam Tabaee, Tabatabaei, Seyyed Mohammad, Tabatabai, Shima, Tagiisuran, Balamurugan, Ali, Eman Taha Osman, Soodejani, Moslem Taheri, Taiba, Jabeen, Tajabadi, Shima, Talic, Stella, Talukder, Ashis, Adugna, Dessalegn Tamiru, Tampa, Mircea, Tan, Jianye, Tanabayeva, Dariga, Tanashat, Mohammad , Tang, Jiahao , Tantisattamo, Ekamol, Tariq, Saba, Temsah, Reem, Teramoto, Masayuki, Tesfamariam, Wegen Beyene , Tewari, Jay , Thakar, Vidhi, Thangavelu, Lakshmi, Tharwat, Ismaeel, Thiruvengadam, Muthu , Thomas, Nikhil Kenny, Ticoalu, Jansje Henny Vera, Tiwari, Krishna, Tleshev, Madi, Tonelli, Marcello, Topór-Mądry, Roman , Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, An Thien, Tran, Thang Huu, Duc, Nguyen Tran Minh , Tricò, Domenico , Tse, Gary, Tseriotis, Vasilis-Spyridon, Tualeka, Abdul Rohim , Tye, Sok Cin , Ullah, Riaz, Umair, Muhammad, Umar, Lawan , Ozsahin, Dilber Uzun, Uzunçıbuk, Hande, Vaithinathan, Asokan Govindaraj , Vakili, Omid , Eynde, Jef Van den, Varghese, Joe, Vellingiri, Balachandar, Verma, Poonam, Villalobos-Daniel, Victor E., Vlassov, Vasily, Wang, Nelson, Wang, Qingzhi, Wang, Wanzhou, Wang, Wei, Wang, Yanzhong, Wang, Zhihua, Wani, Tanveer A.A., Wei, Melissa Y., Weintraub, Robert G., Wibowo, Yohanes Cakrapradipta, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Witts, William Kwame , Wonde, Tewodros Eshete , Wongsin, Utoomporn , Wu, Peng, Xiao, Guangqin, Xie, Wanqing , Xu, Suowen, Xu, Wanqing, Yadav, Vikas , Yahoo, Saba, Yang, Hanwen, Yano, Yuichiro , Yao, Haiqiang , Yarahmadi, Amir, Yin, Dehui , Yismaw, Yazachew Engida, Yon, Dong Keon, Yu, Chuanhua, Yu, Elaine A., Yu, Hairui , Yu, Yong , Yuan, Quan, Zafar, Mubashir , Zaghampour, Manijeh, Zamora, Nelson, Zanghì, Aurora , Zargar, Seema , Zeariya, Mohammed G M, Zeru, Eyael M, Zhang, Beijian, Zhang, Hanyu, Zhang, Julio Min Fei, Zhang, Yunquan, Zhang, Zhichang, Zhanuzakov, Murat , Zhao, Zhongyi, Zheng, Ming‐Hua , Zhong, Anthony , Zhong, Claire Chenwen, Zhou, Hao, Zhou, Jiayan, Zhou, Xiao-Dong, Zhu, Zhengyang , Zhumagaliuly, Abzal, Zitoun, Osama A. , Zoghi, Ghazal , Zoromba, Mohamed Ali, Zumla, Alimuddin, Zyoud, Sa’ed H., Hay, Simon I., Mokdad, Ali H., Murray, Christopher J. L., Roth, Gregory A., Sun, Zhong , Hay, Simon I , Roever, Leonardo , Krishan, Kewal , Moni, Mohammad Ali , Buendía, Jefferson Antonio , Badar, Muhammad , Wickramasinghe, Nuwan Darshana , Nassar, Mahmoud , Dewan, Syed Masudur Rahman , Naik, Ganesh R. , Wang, Yanzhong , Rath, Shree , Karakasis, Paschalis , Zheng, Ming-Hua , Taiba, Jabeen , Razo, Christian , DeCleene, Nicole K., LeGrand, Kate E , Abaraogu, Ukachukwu Okoroafor , ElHafeez, Samar Abd , Abdelmasseh, Michael , Abdelnabi, Mahmoud , Abd‐Elsalam, Sherief , Elshenawy, Rasha Abdelsalam , Abdelwahab, Siddig İbrahim , Abdolizadeh, Ali , Abdollahi, Arash, Abdoun, Meriem , Abdrabou, Mostafa M. , Abdulah, Deldar Morad , Abdullahi, Auwal , Shenkut, Melese, Abiodun, Olugbenga Olusola , Abiodun, Olumide A , Abohashem, Shady , Abtahi, Dariush , Farha, Rana Kamal Abu , Abubakar, Bilyaminu , Abuhelwa, Ahmad Y. , Abukhadijah, Hana J , Aburuz, Salahdein , Adamu, Nuhu Lawan , Adane, Mesafint Molla , Addo, Isaac Yeboah , Adedokun, Kamoru Ademola , Adekola, Saheed Ayodeji, Adesina, Miracle Ayomikun , Adisu, Molalign Aligaz , Adnan, Mohd , Afoakwah, Clifford , Afolabi, Aanuoluwapo Adeyimika, Afrifa‐Yamoah, Ebenezer , Afzal, Saira , Agordoh, Percival Delali , Ahmad, Aqeel , Ahmad, Khabir , Ahmad, Sajjad , Ahmed, Gasha Salih, Ahmed, Nesredin , Ajami, Marjan , Akhtar, Muhammad Nadeem , Akindele, Mukadas Oyeniran , Akkaif, Mohammed Ahmed , Akyea, Ralph Kwame , Zoubi, Mohammad Ahmmad Mahmoud Al, Alalwan, Tariq A. , Al‐Aly, Ziyad , Al-Amri, Issa Sulaiman , Alanzi, Turki Matar Khalaf, Al-Ashwal, Fahmi Y. , Al‐Azayzih, Ahmad , Al-Azzam, Sayer , Al-Bashaireh, Ahmad M. , ALBashtawy, Mohammed , Aleidi, Shereen M. , Algahtani, Fahad D. , AlHabib, Khalid F. , Ali, Abid , Ali, Asgar , Ali, Bassam R. , Al‐Iede, Montaha , Alif, Sheikh Mohammad , Alipour, Morteza, Al‐Jabi, Samah W. , Aljunid, Syed Mohamed , Alkubati, Sameer Abdulmalik , Almagharbeh, Wesam Taher , Almahmeed, Wael , Almazan, Joseph Uy , Alniss, Hasan Yaser , Alomari, Mahmoud A. , Alotaibi, Haifa F. , Alqahtani, Saleh A. , Alqudimat, Mohammad R. , Al-Qudimat, Ahmad Rajeh , Al‐Raddadi, Rajaa , Alsbou, Mohammed , Alshahrani, Najim Zafer , Al-Shami, Ali Salman , Altaf, Awais , Althobiani, Malik A , Alwafi, Hassan , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Al‐Zalabani, Abdulmohsen H. , Alzoubi, Abdallah , Alzoubi, Karem Hasan , Amafah, Joy, Amin, Amr , Amini, Saeed, Amini‐Salehi, Ehsan , Amusa, Ganiyu , Ang, Song Peng , Anieto, Ebuka Miracle , Anil, Abhishek , Anjana, Dr. Prapti, Anvari, Saeid, Appati, Walter , Arabloo, Jalal , Arafat, Mosab , Areda, Demelash, Arefnezhad, Reza , Torre, Jorge Arias de la, Aripov, Timur , Arockiaraj, Jesu , Asdaq, Syed Mohammed Basheeruddin , Ashraf, Syed Amir , Ashraf, Tahira , Ataç, Ömer , Athar, Mohammad , Athari, Seyyed Shamsadin , Aurangzeb, Khursheed , Awan, Sana Javaid , Awol, Kemal Lemnuro, Awotidebe, Adedapo Wasiu , Aylı, Berrak Itır , Azarboo, Alireza , Aziz, Sadat Abdulla , Azzolino, Domenico , Babu, Abraham Samuel , Babu, Giridhara R. , Badiye, Ashish , Baghlaf, Khlood K , Baig, Atif Amin , Bakhshali, Mohamad Amin , Banach, Maciej , Banik, Palash Chandra , Barqawi, Hiba Jawdat , Barrow, Amadou , Barua, Lingkan , Bashir, Shahid , Bashiri, Azadeh , Bastan, Mohammad‐Mahdi , Bayih, Mulat Tirfie , Beeraka, Narasimha Murthy , Begum, Tahmina , Behera, Priyamadhaba , Behnam, Babak , Ramírez, Diana Fernanda Bejarano , Belo, Luı́s , Berihun, Abiye Assefa , Bhattacharjee, Priyadarshini , Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Biswas, Atanu , Biswas, Bijit , Bizzozero‐Peroni, Bruno , Bodur, Mahmut , Bogale, Sitotaw Kerie , Bohn, Lucimére , Boloor, Archith , Carvajal, Alejandro Botero , Boudalia, Sofiane , Bugiardini, Raffaele , Busch, Felix , Bustanji, Yasser, Campos, Luciana Aparecida , Catapano, Alberico Luigi , Cegolon, Luca , Cenko, Edina , Cerin, Ester , Chakraborty, Chiranjib , Chandika, Rama Mohan , Chandrasekar, Eeshwar K , Chandrasekaran, Baskaran , Chattu, Vijay Kumar , Chaudhary, Anis Ahmad , Chaudhuri, Sirshendu , Cheema, Asad Ali Ahmed , Chichagi, Fatemeh , Ching, Patrick R , Cho, William C.S., Choi, Dong‐Woo , Chong, Bryan , Chopra, Deepti , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chu, Dinh‐Toi , Chukwu, Chidozie Williams , Chung, Sheng‐Chia , Chung, S. Y. , Cicero, Arrigo F.G. , Cosma, Claudia , Criqui, Michael H. , Dadras, Omid , Dai, Xiaochen , Dai, Zhaoli , Dalakoti, Mayank , D’Amico, Emanuele , Tesfa, Endalamaw , Danpanichkul, Pojsakorn , Darcho, Samuel Demissie , Davletov, Dimash , Davletov, Kairat , Dejenie, Tadesse Asmamaw , Bo’, Cristian Del , Delgado‐Enciso, Iván , Denova‐Gutiérrez, Edgar , Dergaa, Ismail , Dervišević, Emina , Devegowda, Devananda , Dewan, Syed Masudur Rahman , Dhimal, Meghnath , Dhungel, Bibha , Do, Thanh Chi, Phuong, Thao Huynh, Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Dourado, Paulo Magno Martins , Dowou, Robert Kokou , Du, Mi , Duncan, Bruce Bartholow , Durães, André Rodrigues , Ebohon, Osamudiamen , Eftekhari, Behrad , Eladl, Mohamed Ahmed , Eldaboush, Ahmed , Elgendy, Islam Y. , Elhadi, Muhammed , El‐Huneidi, Waseem , Elmonem, Mohamed A. , Elmoselhi, Adel B. , Fabin, Natalia , Fadaka, Adewale Oluwaseun , Fagbamigbe, Adeniyi Francis , Fakorede, Sodiq , Fatima, Zareen , Fayaz, Mohammad , Fazylov, Timur, Fernández‐Jiménez, Rodrigo , Fischer, Florian, Fogacci, Federica , Foschi, Matteo , Gadanya, Muktar A., Gajdács, Márió , Galali, Yaseen , Ganesan, Balasankar , Gangachannaiah, Shivaprakash , Gašević, Danijela , Habtemichael, Mizan , Getacher, Lemma , Jolfayi, Amir Ghaffari , Ghamkhar, Arin, Ghazy, Ramy Mohamed , Ghimire, Sailaja, Ghith, Nermin , Gil, Artyom , Gill, Paramjit Singh , Gnedovskaya, Elena V. , Goh, Lay Hoon , Gohari, Kimiya, Golechha, Mahaveer , Goulart, Alessandra C. , Goyal, Aman , Grada, Ayman , Gu, Long , Gubari, Mohammed Ibrahim Mohialdeen , Guha, Avirup , Gunawardane, Damitha Asanga , Gupta, Rajeev , Gurgoglione, Filippo Luca , Guzmán-Esquivel, José , Guzmán-Muñoz, Eduardo , Haghtalab, Arian , Halder, Pritam , Hamdy, Nadia Μ. , Hammad, Eman A. , Hanif, Asif , Hanifi, Nasrin , Hankey, Graeme J. , Harsini, Sara , Hartmann, Phillipp , Hasan, Ikramul , Hashempur, Mohammad Hashem , Hassan, Amr , Hassan, Ibrahim Nagmeldin , Hayat, Khezar , Hezam, Kamal , Hiraike, Yuta , Holla, Ramesh , Hostiuc, Sorin , Htay, Mila Nu Nu , Huang, Junjie, Hushmandi, Kiavash , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ibrahim, Khalid S. , Ibrayeva, Anel , Ikram, Jibran, Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Imodoye, Sikiru O. , Inbaraj, Leeberk Raja , Ionescu, Radu Tudor, Iqhrammullah, Muhammad , Irham, Lalu Muhammad , Ishaqui, Azfar Athar , Ismail, Nahlah Elkudssiah , Ismoldayev, Yerlan, Isola, Gaetano , Izquierdo‐Condoy, Juan S. , Jacob, Jaison , Jahanshahi, Ali , Jamal, Armaan , Jamali, Navid , James, Jerin , Jamshidi, Masoud , Jawaid, Talha, Jayasinghe, Yovanthi Anurangi , Jemal, Mohammed , Jeong, Seogsong , Jeswani, Bijay Mukesh , Jibat, Nathan Tolemariam , Jokar, Mohammad , Joó, Tamás , Joseph, Akaninyene Paul , Joseph, Mickaël Antoine , Joseph, Nitin , Joshi, Krupal , Jürisson, Mikk , K, Vaishali , Kakkar, Ashish Kumar , Kalani, Rizwan , Kalavani, Khalil , Kalra, Sanjay , Kamorudeen, Ramat T. , Kamyshnyi, Oleksandr , Kanaan, Saddam Fuad , Kanmodi, Kehinde Kazeem , Kantar, Rami S. , Kapoor, Neeti , Karajizadeh, Mehrdad , Karakasis, Paschalis , Karasneh, Reema A. , Kashoo, Faizan , Kashyap, Manoj Kumar , Kausar, Mohd Adnan , Kazemian, Sina , Kebede, Yabets Tesfaye , Kesse‐Guyot, Emmanuelle , Khademi, Reza , Khader, Yousef , Khajuria, Himanshu , Khaleel, Anas , Khalid, Sidra , Khalili, Anita , Khalili, Pantea , Khan, Maseer , Khan, Mohammad Idreesh , Khasbage, Sameer Uttamaro , Khatatbeh, Moawiah Mohammad , Khosla, Pavan , Khosravi, Sepehr , Kimokoti, Ruth W , Kısa, Adnan , Kishore, Ladli , Kivimäki, Mika , Kokkorakis, Michail , Kolahi, Ali‐Asghar , Kompani, Farzad , Kondybayeva, Аida , Korzh, Oleksii , Kostev, Karel , Laxminarayana, Sindhura Lakshmi Koulmane , Kua, Chong-Han , Kuddus, Mohammed , Kumar, Chandan , Kumar, G Anil , Kumar, Jogender , Kumar, Laksh , Kundu, Amartya , Kundu, Satyajit , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kytö, Ville , Lahariya, Chandrakant , Lakanova, Balzhan, Lantos, Tamás , Larebo, Yilma Markos , Lasrado, Savita , Lee�, HwaMin , Lee, Wei‐Chen , Leivaditis, Vasileios , Lenjisa, Jimma Likisa , Li, Ming‐Chieh , Li, Qiang , Li, Shaojie , Lim, Lee-Ling , Lodhi, Madeeha Shahzad , Lokunarangoda, Niroshan Chandrajith , López-Gil, José Francisco , Lorkowski, Stefan , Lucchetti, Giancarlo , Lui, Pauline Po Yee , Lv, Lei , Lytvyak, Ellina , Amin, Hawraz Ibrahim M. , Maffia, Pasquale , Magaña‐Gómez, Javier A. , Mahalleh, Mehrdad , Malik, Ahmad Azam , Malik, Tabarak , Malta, Déborah Carvalho , Mamand, Doste R. , Maniya, Muhammad Talha , Mannethodi, Kamaruddeen , Mansoor, Farheen, Mansourian, Marjan , Maqsood, Kaleem , Marateb, Hamid Reza , Marghani, Basma H. , Marino, Mirko , Martínez, Ramón , Martini, Daniela , Martini, Santi , Martorell, Miquel , März, Winfried , Marzouk, Sammer , Masi, Stefano , Mathur, Neeta , Matozinhos, Fernanda Penido , Mattiello, Rita , Mavrovounis, Georgios , McPhail, Steven , Mehto, Subhash , Meles, Hadush Negash , Menezes, Godfred Antony , Menon, Tara Pattilachan, Mensah, George A. , Merlino, Giovanni , Meštrović, Tomislav , Mettananda, Chamila Dinushi Kukulege , Mettananda, Sachith , Metwally, Mohamed M M, Mikrajab, Muhammad Agus, Minhas, Abdul Mannan Khan , Mittal, Madhukar , Mohamed, Nouh Saad , Ahmed, Khabab Abbasher Hussien Mohamed , Mohammad, Taj , Mohammadi, Abbas , Mohammadi, Mokhtar , Mohammadian-Hafshejani, Abdollah , Mohsen, Yazan , Shibabaw, Tewodros , Molokhia, Mariam , Monazzami, Amirabbas , Ghalibaf, AmirAli Moodi , Morovvati, Mahdis, Motappa, Rohith , Mozafar, Mehrdad , Mubarik, Sumaira , Muhammad, Jibran Sualeh , Munkhsaikhan, Yanjinlkham, Munshi, Anjana , Musa, Sani , Muthu, Sathish , Mwita, Julius Chacha , Myung, Woojae , Nainu, Firzan , Nargus, Shumaila , Nasrollahizadeh, Amir , Nassar, Mahmoud, Nauman, Javaid , Navaratna, Samidi Nirasha Kumari , Nawaiseh, Hala K. , Nayak, Biswa Prakash, Nega, Mulata Haile , Negash, Abigia Ashenafi , Negoi, Ionuţ , Abadi, Reza Nejad Shahrokh , Nematollahi, Mohammad Hadi , Nieddu, Luciano , Nketia, Richmond , Noubiap, Jean Jacques , Nri-Ezedi, Chisom Adaobi , Ntsekhe, Mpiko , Nugen, Fred , Oancea, Bogdan , Odat, Ramez M. , Oddi, Fabio Massimo , Oh, In‐Hwan , Okekunle, Akinkunmi Paul , Okonji, Osaretin Christabel , Olorukooba, Abdulhakeem Abayomi , Ong, Qi Chwen , Ordak, Michał , Orscelik, Atakan , Ortiz‐Prado, Esteban , Osuagwu, Uchechukwu Levi , Oumer, Abdu , Ouyahia, Amel , Özşahin, İlker , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Georgios D. , Papa, Mario Virgilio , Pardhan, Shahina , Passera, Roberto , Patel, Kunal Nitinkumar , Patel, Neel Navinkumar , Patel, Satyananda, Patil, Shankargouda, Patoulias, Dimitrios , Pattnaik, Snigdha, Toroudi, Hamidreza Pazoki, Pekarčíková, Jarmila , Peprah, Prince , Pereira, Gavin, Perico, Norberto , Perna, Simone , Petermann‐Rocha, Fanny , Pirnejad, Habibollah , Plotnikov, Evgenii, Poddighe, Dimitri , Poluru, Ramesh , Porntaveetus, Thantrira , Pradhan, Pranil Man Singh , Prasad, Manya , Prashant, Akila , Pugliese, Nicola Riccardo , Puvvula, Jagadeesh , Qiu, Jia-Yong , Radhakrishnan, Venkatraman, Raghav, Pankaja Raghav, Rahamon, Sheu Kadiri , Rahim, Hawbash Mohammed-Amin , Rahimi, Sajjad , Rahman, Muhammad Aziz , Raj, Jeffrey Pradeep , Raja, Adarsh , Rajendran, Judah , Rajput, Prashant , Ramadan, Mahmoud M. , Ramasamy, Chitra, Ramasamy, Shakthi Kumaran, Rashedi, Vahid , Rasouli‐Saravani, Ashkan , Rath, Shree , Rathi, Isha , Rathish, Devarajan , Rauniyar, Santosh Kumar , Rawassizadeh, Reza , Ray, Asit , Redwan, Elrashdy M , Rehman, Najeeb Ur , Remuzzi, Giuseppe , Rezaei, Nazila , Romadlon, Debby Syahru , Romoli, Michele , Rony, Moustaq Karim Khan , Ross, Allen Guy , Roy, Sharmistha , Roy, Shubhanjali , Russo, Michele , Saber-Ayad, Maha Mohamed , Sabet, Cameron John , Sadarangani, Kabir P. , Rafiei, Seyed Kiarash Sadat , Saddique, Muhammad Nabeel , Sadee, Bashdar Abuzed , Sadeghi, Masoumeh , Sadek, Bassem Shaban , Sadr, Hossein, Saeb, Mohammad Reza , Saeed, Mοhd , Saeedi, Maryam , Saghazadeh, Amene , Sagoe, Dominic , Sah, Ashok Kumar , Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajadi, S. Mohammad, Sajid, Mirza Rizwan , Saki, Morteza , Sakshaug, Joseph W. , Salami, Afeez Abolarinwa , Saleem, Rahman Shah Zaib , Salihu, Abubakar Tijjani , Salimi, Sohrab , Samargandy, Saad J. , Samodra, Yoseph Leonardo , Samy, Abdallah M., Sarfo, Jacob Owusu , Sarmadi, Mohammad , Sarode, Gargi Sachin , Sassano, Michele , Sathian, Brijesh , Narayanan, Mukesh Kumar Sathya , Schlaich, Markus P. , Schuermans, Art , Schwarz, Ghil , Sejben, Anita , Selvaraj, Siddharthan , Semreen, Mohammad H. , Şenol, Yiğit Can , Şerban, Dragoş , Sethi, Yashendra , Setiawan, Christianus Heru , Shahid, Samiah , Shahini, Endrit , Shahrahmani, Fatemeh, Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shan, Dan, Shanawaz, Mohd , Shannawaz, Mohammed , Sharif, Nadim , Sharma, Bhoopesh Kumar , Sharma, Bunty, Sharma, Manoj , Sharma, Vishal , Shastry, Shamee , Sheidaei, Ali , Shenoy, Rekha R. , Shimels, Tariku , Shittu, Aminu , Shoaib, Ambreen , Shool, Sina , Shrestha, Sunil , Shuval, Kerem , Sia, Ching‐Hui , Siddig, Emmanuel Edwar , Siddiqi, Ahmed Kamal , Siddiqua, Ayesha , Silva, Diego Augusto Santos , Simkhada, Padam Prasad , Singh, Amit Kumar, Singh, Baljinder, Singh, Harpreet, Singh, Jasvinder A. , Singh, Lucky, Singh, Poornima Suryanath , Singh, Puneetpal , Sinha, Mukesh Kumar , Sinha, Ratnesh , Skryabin, Valentin Yurievich , Sorrentino, Michele , Spartalis, Michael , Stachteas, Panagiotis , Владимировна, Стародубова Антонина, Straube, Sebastian , Stubbs, Peter W. , Su, Chen‐Yang , Subramaniyan, Vetriselvan , Suhag, Alisha , Sulaieva, Oksana , Sun, Jing , Swain, Chandan Kumar , Szarpak, Łukasz , Y, Sree Sudha T, Damavandi, Payam Tabaee , Tabarés‐Seisdedos, Rafael , Tabatabaeizadeh, Seyed‐Amir , Tabche, Celine , Tadele, Afework , Ali, Eman T. , Soodejani, Moslem Taheri , Tajabadi, Shima, Talic, Stella , Talukder, Ashis , Zadeh, Seyed Saeed Tamehri , Tampa, Mircea Ştefan , Tantisattamo, Ekamol , Tariku, Mengistie Kassahun , Tavangar, Seyed Mohammad , Tedla, Mebrahtu G. , Teramoto, Masayuki , Tesfu, Azimeraw Arega , Tharwat, Ismaeel, Tharwat, Samar , Thienemann, Friedrich , Tiruye, Tenaw Yimer , Tleshev, Madi, Tomo, Sojit , Tonelli, Marcello , Touvier, Mathilde , Tran, An Thien, Tran, Thang Huu, Tristan, Christopher Daniel , Tse, Gary , Tseriotis, Vasilis‐Spyridon , Udoakang, Aniefiok John , Ullah, Atta , Ullah, Saeed , Umair, Muhammad, Upadhya, Dinesh , Upadhyay, Era , Usman, Jibrin Sammani , Ozsahin, Dilber Uzun , Uzunçıbuk, Hande , Varghese, Joe , Vasankari, Tommi Juhani , Vellingiri, Balachandar , Venketasubramanian, Narayanaswamy , Verma, Akshaya Kumar , Villalobos-Daniel, Victor Eduardo , Wan, Jin‐Yi , Wang, Cong , Wang, Nelson , Wang, Shaopan , Wang, Shu , Wang, Youxin , Wani, Tanveer A. , Waqar, Ahmed Bilal , Weintraub, Robert G, Wibowo, Yohanes Cakrapradipta, Wicaksana, Anggi Lukman , Wickramasinghe, Dakshitha Praneeth , Wilandika, Angga , Xu, Site , Xu, Suowen , Xu, Xiaoyue , Yadegar, Amirhossein , Yahoo, Saba, Yamagishi, Kazumasa , Yaribeygi, Habib , Yesuf, Subah Abderehim , Yon, Dong Keon , Yonemoto, Naohiro , Yuan, Quan, Yuzbashian, Emad , Zamagni, Giulia , Zawiah, Mohammed , Zeariya, Mohammed G M, Zeru, Eyael M, Zhang, Casper J. P. , Zhong, Claire Chenwen , Zhou, Xiao-Dong, Zhumagaliuly, Abzal , Zoromba, Mohamed Ali , Zumla, Alimuddin I. , Zyoud, Ahed H. , Zyoud, Shaher H. , Mokdad, Ali H. , Murray, Christopher J. L., Roth, Gregory A.

JAMA | July 29, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.8628 | PMID 42525403 Get It

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.
Making the operating room (OR) work: sociomaterial study of ergonomics in the OR
Mah, Alexis, Kalocsai, Csilla , Karim, Allia , Larouche, Jeremie, Hallbeck, M Susan, Cohen, Tara, Ding, Anna, Armah, Jessica, Hallet, Julie , Helman, James D., d’Empaire, Pablo Pérez , Idestrup, Chris, Dandal, Marie-Antonette, Ryzynski, Agnes, DeSousa, Susan , Sriram, Sapna, Dales, Shannon, Cohen, Tara , Hallet, Julie , Mah, Alexis , Alam, Fahad , Hallbeck, M Susar, Ryzynski, Agnes A.

British Journal of Surgery | July 6, 2026 | Volume: 113 | Issue: 7 | Pages: No page available

10.1093/bjs/znag083 | PMID 42405509 Get It

Abstract Background Poor operating room (OR) ergonomics poses risk of injury to OR staff, worsening patient outcomes and threatening workforce wellness and sustainability. How OR staff navigate ergonomic barriers in the interdisciplinary team environment was examined in this qualitative study. Methods Semi-structured, open-ended interviews of surgeons, anaesthesiologists, and OR nurses were conducted at a single institution using a sociomaterial approach with interview-to-the-double. Transcripts were coded by two independent researchers. Themes in the data were outlined using the System Engineering Initiative for Patient Safety (SEIPS) 2.0 framework. Results Five major themes were identified. First, physical environment issues creating cognitive and physical frictions, such as tripping hazards and poor room layouts. Second, influence of social positionality, with hierarchy by role and experience and social dynamics leading to a differential capacity to adjust. Third, team collaboration, with lack of interdisciplinary work and communication and high staff turnover. Fourth, burden of self-initiated workarounds, outlining conflicts between system/organizational issues and individual solutions. Fifth, institutional support, with lack of leadership engagement. Participants suggested solutions including accommodations to foster a collaborative approach to managing discomfort in the OR and new team communication tools. Conclusion Ergonomic barriers were described within the work system of the SEIPS 2.0 framework. Social positionality and differential levels of agency, as well as lack of team collaboration and misperceptions of others’ roles, were central to ergonomic challenges. Conflicts between problems lying with the system/organization and solutions being left to individuals were also central to challenges to optimal OR ergonomics.
Clinician and simulated patient perspectives on ambient AI scribes in psychiatric consultations: a qualitative study
Bokhari, Syed Ali , Usman, Firdous M. , Arshad, Zara, Sudhir, Meghana , Krage, Ralf, Javaid, Syed Fahad , Kashyap, Rahul, Nawaz, Faisal A. , Arshad, Zara , Kashyap, Rahul

Frontiers in Psychiatry | May 28, 2026 | Volume: 17 | Issue: No issue available | Pages: No page available

10.3389/fpsyt.2026.1821065 | PMID 42290984 Get It

Background Documentation burden contributes significantly to psychiatric clinician burnout, with psychiatrists spending an average of three hours per workday on administrative tasks rather than direct patient care. While quantitative studies demonstrate that ambient artificial intelligence (AI) scribes reduce workload and improve documentation quality, the experiential perspectives of clinicians and standardized patients (SPs) remain unexplored, particularly in psychiatry where the therapeutic relationship is central to practice. Our aims were to explore clinician and standardized simulated patient perspectives on ambient AI scribes in psychiatric consultations, examining experiences, concerns, and conditions for successful implementation. Methods This study was part of a cross-sectional quantitative simulation study, where qualitative part was planned a-priori. We conducted focus groups with psychiatrists and SPs following a simulation-based crossover study comparing traditional versus AI-assisted documentation. Data were analyzed using Braun and Clarke’s reflexive thematic analysis framework. Results In this focus group session with eight psychiatrists and four SPs, total six themes were identified: (1) Clinical Presence, whereby reduced documentation barriers were perceived to allow more authentic human connection; (2) Liberation from documentation burden, with clinicians describing cognitive and emotional relief beneficial for their mental health; (3) Clinical Competence Amplified, in which clinicians perceived the AI scribe as enhancing practice through intelligent translation to psychiatric terminology and prompting for missed assessments; (4) Calibrating Trust, where participants navigated initial uncertainty while recognizing the importance of human oversight; (5) Privacy, stigma, and psychiatric exceptionalism, highlighting unique consent and confidentiality considerations for psychiatric populations; and (6) Perceptions of an enhanced standard of care, with both groups expressing strong preference for AI-assisted consultations with conditions for adoption. Conclusion In this exploratory simulation-based qualitative study, AI scribes were perceived as having potential to support more present, patient-centered psychiatric consultations by reducing documentation burden. Implementation should be cautious and requires transparent consent processes, clinician training in behavioral adaptations, robust human oversight, specialty-specific templates, and real-world evaluation with patients receiving psychiatric care.
Enteroblastic and Hepatoid Colorectal Carcinomas are Aggressive Cancers With a Distinctive Immunophenotype, While Clear Cell Carcinoma Appears to Represent Clear Cell Change in Conventional Colorectal Cancer
Khan, Fahad, Polydorides, Alexandros D., Paulsen, John D., Chen, W, Vazzano, Jennifer , Huber, Aaron , Papke, David, Sharifai, Nima , Allende, Daniela, McHugh, Kelsey, Longacre, Teri A. , Dhall, Deepti, Makhoul, Elias, Lee, Michael J., Collins, Katrina, Ulbright, Thomas M. , Zhang, M. Lisa, Westerhoff, Maria , Gao, Zu‐Hua , Choi, Won‐Tak , Kakar, Sanjay, Chetty, Runjan, Nowak, Klaudia, Zhang, Xuchen, Chen, Wei , McHugh, Kelsey , Khan, Fahad , Gonzalez, Raul S , Chen, Wei , McHugh, Kelsey E , Polydorides, Alexandros D. , Paulsen, John David , Papke, David , Stashek, Kristen , Ruz‐Caracuel, Ignacio , Shia, Jinru , Dhall, Deepti , Collins, Katrina , Zhang, Mingjuan Lisa , Matsukuma, Karen , Kakar, Sanjay , Chetty, Runjan , Nowak, Klaudia M. , Serra, Stefano , González, Raul S.

American Journal of Surgical Pathology | April 21, 2026 | Volume: 50 | Issue: 8 | Pages: 883-893

10.1097/pas.0000000000002555 | PMID 42012857 Get It

Enteroblastic, hepatoid, and clear cell carcinomas are rare subtypes of colorectal carcinoma (CRC) with histologic and immunohistochemical (IHC) overlap. We assessed 37 CRCs that possibly represent these subtypes. Provisional criteria for each subtype, along with case photomicrographs and IHC data, were circulated among the authors to provide diagnostic interpretations. Based on plurality consensus, the carcinomas were classified as enteroblastic (n=13), hepatoid (n=6), and clear cell (n=18). Unanimous agreement was reached in 18% (3 clear cell, 3 hepatoid). Interobserver analysis revealed a mean pairwise Cohen κ of 0.63 (range: 0.32 to 0.91), with the hepatoid subtype eliciting the greatest consensus. Clear cell areas were the most likely to intermix with areas of conventional CRC ( P <0.001). Seven patients (20%) had inflammatory bowel disease (mostly linked to enteroblastic CRC). Twenty-three of 34 patients (68%) had nodal metastasis, and 12 (32%) had distant metastasis (mostly to the liver) at presentation. Median recurrence-free survival was 17 months, with enteroblastic cases the most likely to recur (54%, P =0.015). Median follow-up length was 27 months, with 14 patients (40%) dying of disease (representing 7 enteroblastic, 4 hepatoid, and 3 clear cell CRC). Mutations were identified in TP53 (n=8) , APC (n=3) , FBXW7 (n=2), and KRAS (n=1). Inflammatory bowel disease significantly worsened recurrence-free survival on multivariate analysis, while distant metastasis significantly worsened both recurrence-free and overall survival on multivariate analysis. Enteroblastic, hepatoid, and clear cell CRC demonstrate morphologic and IHC overlap, leading to interobserver variability in diagnosis. Given potential differences in clinical correlations and outcomes, more refined criteria are likely necessary.
Toe brachial indices as predictor of major cardiovascular adverse events
Houghton, D E, Shuja, Fahad , Liedl, D A, Wennberg, P W, Casanegra, Ana I. , Houghton, Damon E. , Liedl, David , Wennberg, Paul W.

European Heart Journal | February 4, 2026 | Volume: 46 | Issue: Supplement_1 | Pages: No page available

10.1093/eurheartj/ehaf784.3015 Get It

Abstract Background Ankle-brachial indices (ABI) predict mortality and major cardiovascular events (MACE); however, they are unable to assess the severity of peripheral artery disease in patients with non-compressible vessels. Toe brachial indices (TBI) are less affected by non-compressibility and could be good predictors of cardiovascular morbidity and mortality. Purpose To evaluate the predictive value of TBI for MACE and all-cause mortality in a large population. Methods The initial ABIs and TBIs of all patients referred to a noninvasive vascular laboratory were obtained. We categorized patients based on the worse TBI from either leg, and each patient was classified as normal (&gt;0.8), borderline (0.8-0.61), mild-moderate PAD (0.6 - 0.21) and severe PAD (≤0.2). MACE occurring after the study were identified using ICD9/10 and procedural CPT codes and included myocardial infarction, coronary revascularization, or stroke. Survival analysis was performed using the Kaplan-Meier method with log-rank test to compare survival curves between groups. Results Of 13551 patients, we excluded 643 (5%) in whom TBI could not be obtained. Patient characteristics can be found in Table 1. There were 4,924 MACE and 3,125 deaths during the median follow up time of 8.39 years (Table1). There was a significant difference of MACE incidence (p &lt;0.001) and mortality (p&lt;0.001) by TBI categories, and the curves separate before the 1-year mark (Figure 1A and B). Conclusion TBI is a good predictor of MACE and all-cause mortality in the short and long term and can be obtained in 95% of patients.
Abstract WP047: Incidental Cerebral Aneurysms in Patients with Cervical Artery Dissection
Stretz, Christoph, Shu, Liqi , Mandel, Daniel M, Samaniego, Edgar A., Nguyen, Thanh N., Liebeskind, D, Guerrero, Christopher Leon, Arnold, Marcel, Omran, Setareh Salehi , Sousa, João André, Khan, Muhib, Rothstein, Aaron, Engelter, Stefan T, Sousa, Diana Aguiar de, FIELD, Thalia, Leker, Ronen, Dantu, Vishnu , Choi, Richard , Ghannam, Malik, Poppe, Alexandre, Romoli, Michele, Keser, Zafer, Frontera, Jennifer, Zedde, Marialuisa, MacGrory, Brian, Kasab, Sami Al, Bakradze, Ekaterina, Rodrigo-Gisbert, Marc, Velez, Faddi Saleh, Vishnu, Venugopalan, Yaddanapudi, Sridhara , Zubair, Adeel , Marto, Joao Pedro, Klein, Piers, Martins, Sheila, Krishnaiah, Balaji , Elangovan, Cheran, Qureshi, Abid, Mannino, Marina, Sarvath, Mohammed, Kass-Hout, T, Sen, Shayak, Elnazeir, Marwa , Furie, Karen, Yaghi, Shadi, Field, Thalia S. , Sousa, Diana Aguiar de , Field, Thalia S , Aguiar de Sousa, Diana , Stretz, Christoph , Samaniego, Edgar A , Leon Guerrero, Christopher R , Heldner, Mirjam R. , Arnold, Marcel , Nehme, Ahmad , Khan, Muhib , Rothstein, Aaron , Engelter, Stefan T. , Leker, Ronen R , Ghannam, Malik , Fonseca, Ana Catarina , Romoli, Michele , Keser, Zafer , Zedde, Marialuisa , Kasab, Sami Al , Bakradze, Ekaterina , Rodrigo‐Gisbert, Marc , Velez, Faddi G. Saleh , Vishnu, Venugopalan, Marto, João Pedro , Klein, Piers , Elangovan, Cheran , Mannino, Marina , VASILOPOULOU, SOFIA, Kass‐Hout, Tareq , Khan, Fahad

Stroke | January 29, 2026 | Volume: 57 | Issue: Suppl_1 | Pages: No page available

10.1161/str.57.suppl_1.wp047 Get It

Background: Patients with cervical artery dissection (CAD) have a higher prevalence of cerebral aneurysms, likely due to underlying vasculopathies. Understanding risk factors and outcomes in this population may inform screening and management strategies. Methods: We conducted a post-hoc analysis of the STOP-CAD study, a multicenter international registry of patients with non-major trauma-related CAD across 63 centers. Cerebral aneurysms were identified based on medical history and intracranial vascular imaging obtained for dissection diagnosis. We compared demographic, clinical, laboratory, and imaging characteristics between patients with and without aneurysms. Variables with p<0.05 in univariate analysis were entered into a multivariable binary logistic regression to identify independent predictors. Clinical outcomes including ischemic stroke and symptomatic intracranial hemorrhage at follow-up were compared between both groups. Results: Out of 4023 patients included in the STOP-CAD study, 116 (2.9%) had at least one incidental cerebral aneurysm. In adjusted binary logistic regression, patients with cerebral aneurysm were more likely to have a history of migraine (aOR 1.78 95% CI 1.15-2.75, p=0.009), history of hypertension (aOR 1.65 95% CI 1.12-2.43, p = 0.010), known connective tissue disorder (aOR 3.47 95% CI 1.71-7.03), history of dissection (aOR 2.63 95% CI 1.31-5.28, p = 0.007), and a dissecting aneurysm at the site of the dissection (aOR 1.94 95% CI 1.25-3.01, p = 0.003). At follow-up, the presence of a cerebral aneurysm was not associated with ischemic stroke (7.8% vs. 5.6% p>0.1), but with a trend towards increased odds of symptomatic intracranial hemorrhage (3.4% vs. 1.2%, p = 0.062). Conclusions: Patients with CAD and concurrent incidental cerebral aneurysm were more likely to have a history of migraine headaches and markers of underlying vasculopathy and had a non-significantly increased risk of intracranial hemorrhage at follow-up. Further studies are needed to identify best practices for surveillance and risk stratification in this subgroup.
Abstract WP112: Predictors of 90-Day Recurrent Stroke in Patients with High-Grade Intracranial Atherosclerotic Stenosis: A subgroup analysis from the BIORISK-ICAS Study
Stretz, Christoph, Lewis, Skylar, Chahien, Dalia, Alam, Shaista , Halabi, Tarek El, Guerrero, Chris, Walsh, Hadley A., Frontera, Jennifer, baker, rich, Nguyen, Thanh, Tunguturi, Ajay, Khan, Muhib, Klaas, James P. , Liebeskind, D, Morsi, Rami, Helenius, Johanna, Khatri, Pooja, Freitas, Joao, Aziz, Yasmin, Rothstein, Aaron, Shu, Liqi , Reda, Mahasen, Tountopoulou, Argyro , Khasawneh, Mohammad W , Klein, Piers, Havenon, Adam de, Almiri, William , Prabhakaran, S, AlMajali, Mohammad, Zaidat, Osama, Qdais, Ahmad Abu, McCullough-Hicks, Margy, Elangovan, Cheran, Sousa, João André, Romoli, Michele, Henninger, Nils, Marto, Joao Pedro, Agarwal, Ayush, Kasab, Sami Al, Yaddanapudi, Sridhara , Krishnaiah, Balaji , Sousa, Diana Aguiar de, Yaghi, Shadi, Henninger, Nils , Sousa, Diana Aguiar de , Henninger, Nils , Aguiar de Sousa, Diana , Khan, Fahad , Stretz, Christoph , Alam, Shaista, Halabi, Tarek El , Sloane, Kelly L , Heldner, Mirjam R. , Antonenko, Kateryna , Baker, Richard, Khan, Muhib , Marrone, Nicole L. , Siegler, James E. , Morsi, Rami Z. , Aziz, Yasmin , Rothstein, Aaron , Reda, Mahasen , Prabhakaran, Shyam , McCullough‐Hicks, Margy , Elangovan, Cheran , Romoli, Michele , Marto, João Pedro , Kasab, Sami Al

Stroke | January 29, 2026 | Volume: 57 | Issue: Suppl_1 | Pages: No page available

10.1161/str.57.suppl_1.wp112 Get It

Background: High-grade intracranial atherosclerosis (ICAS) is associated with an elevated risk of recurrent ischemic stroke, particularly in patients with severe stenosis (70–99%). Identifying predictors of early recurrence can inform risk stratification and guide treatment strategies. Methods: The Biomarkers and Recurrence Risk in Symptomatic Intracranial Arterial Stenosis (BIORISK-ICAS) study is a multicenter, international, retrospective cohort analysis pooling data from 35 comprehensive stroke centers. We included hospitalized adult patients with symptomatic ICAS, defined as 50–99% stenosis of an intracranial artery (intracranial vertebral, basilar, distal ICA, or M1 MCA), confirmed by vascular imaging and associated with a qualifying ischemic event. Patients with only high-grade stenosis (70-99%) were included in this analysis. The primary outcome was to determine predictors of recurrent ischemic stroke in the territory of the symptomatic artery within 90 days of the index event. Baseline demographic, clinical, and imaging characteristics were recorded. Multivariable Cox proportional hazards regression with stepwise selection (p < 0.1) was used to identify independent predictors of recurrence; model discrimination was assessed using Harrell’s C-statistics. Results: Among 2,050 patients, 1,476 had high-grade (70-99%) symptomatic ICAS. The mean age was 67 ± 12.5 years, and 767 (55%) were male. Most patients were non-Hispanic (90.1%), taking dual antiplatelet therapy (77.8%), and statins (94.5%). Recurrent stroke occurred in 160 patients (10.8%) within 90 days. In multivariable Cox model, independent predictors of recurrence included atrial fibrillation (HR 2.05; 95% CI, 1.26–3.33; p = 0.004), hyperlipidemia (HR 1.57; 95% CI, 1.10–2.24; p = 0.014), diabetes mellitus (HR 1.36; 95% CI, 0.98–1.88; p = 0.064), and home use of dual antiplatelet therapy (HR 1.60; 95% CI, 1.01–2.54; p = 0.043)(Harrell’s C-statistic=0.62). In patients who underwent perfusion(n=402), mistmatch >10seconds were associated with increased recurrence (HR 1.80; 95% CI 0.95-3.38, p=0.07) and atrial fibrillation (HR 2.06: 95% CI 0.03-4.60, p=0.78) though did not reach statistical significance. Conclusion: In this population, diabetes, hyperlipidemia, atrial fibrillation, and prior use of dual antiplatelet therapy were associated with increased risk of 90-day recurrent ischemic stroke. Perfusion imaging may help identify high-risk patients who could benefit from intensified secondary prevention.
Abstract DP310: Dual Antiplatelet versus Anticoagulant-Plus-Antiplatelet Therapy in Symptomatic Intracranial Atherosclerosis: A Multicenter Comparative Study
Rehman, M. Aemaz Ur, Yaghi, Shadi, Kasab, Sami Al, Qdais, Ahmad Abu, Yaddanapudi, Sridhara , Sultana, Sabiha , Khan, Muhib, Malik, Maarij , Klaas, James P. , Guerrero, Christopher Leon, Velez, Faddi Saleh, Pinto, Camila, McCullough-Hicks, Margy, Cooper, Dawson C , Pillai, Abhiram Parameswaran, Hariharan, Praveen, Alam, Shaista , Antonenko, Kateryna, Almiri, William , Rothstein, Aaron, Krishnaiah, Balaji , Elangovan, Cheran, Agarwal, Ayush, Romoli, Michele, Nicola, Marrone, Vozzi, Stefano, Ghannam, Malik, Dibas, Mahmoud I., Marto, Joao Pedro, AlMajali, Mohammad, Sousa, Diana Aguiar de, Soares, Mafalda Delgado, Lima, Anicléia Rodrigues de, Tountopoulou, Argyro , Havenon, Adam de, Henninger, Nils, Helenius, Johanna, Khasawneh, Mohammad W , Klein, Piers, Shu, Liqi , Khatri, Pooja, Nguyen, Thanh N., Liebeskind, D, Bakradze, Ekaterina, Henninger, Nils , Sousa, Diana Aguiar de , Henninger, Nils , Aguiar de Sousa, Diana , Khan, Fahad , Yaghi, Shadi , Kasab, Sami Al , Sultana, Sabiha, Khan, Muhib , Leon Guerrero, Christopher R , Velez, Faddi G. Saleh , Owens, Cameron , Pinto, Camila, McCullough‐Hicks, Margy , Hariharan, Praveen , Alam, Shaista, Heldner, Mirjam R. , Antonenko, Kateryna , Rothstein, Aaron , Elangovan, Cheran , Romoli, Michele , Marrone, Nicola , Ghannam, Malik , Dibas, Mahmoud, Marto, João Pedro , Simpkins, Alexis N. , Soares, Mafalda , Lima, Amanda, Siegler, James E. , VASILOPOULOU, SOFIA, Klein, Piers , Bakradze, Ekaterina

Stroke | January 29, 2026 | Volume: 57 | Issue: Suppl_1 | Pages: No page available

10.1161/str.57.suppl_1.dp310 Get It

Introduction: Intracranial atherosclerosis (ICAS) is a leading cause of ischemic stroke (IS) worldwide and carries a high risk of recurrence. Current guidelines favor 90 days of dual antiplatelet therapy (DAPT) for severe symptomatic ICAS, but recurrence remain high. Limited data suggest possible benefit of single antiplatelet plus anticoagulation (SAPT+AC). We compared the effectiveness and safety of DAPT versus SAPT+AC. We hypothesized that DAPT would lower 90-day recurrent IS risk without significantly increasing bleeding. Methods: This substudy of the Biomarkers and Recurrence Risk in Symptomatic Intracranial Arterial Stenosis (BIORISK-ICAS) included patients from 35 centers (Jan 2019–Jun 2024) with symptomatic 50–99% ICAS in the intracranial internal carotid, vertebral, basilar, or M1 segment of the MCA, presenting ≤72 hours from last known well. The primary efficacy outcome was recurrent IS in the same vascular territory at 90 days; the primary safety outcome was severe bleeding (symptomatic intracranial hemorrhage or major extracranial bleeding). Categorical variables were compared using χ 2 and continuous variables with the Student's t test; multivariable Cox regression adjusted for key covariates. Results: Of 2050 BIORISK-ICAS patients, 1658 met criteria (DAPT n=1499; SAPT+AC n=159). Mean age was 67 vs. 73 years, and 44% were women. At 90 days, recurrent IS occurred in 121 DAPT patients (8.07%) vs. 13 SAPT+AC patients (8.17%); unadjusted HR 0.83 (95% CI, 0.50–1.36; p=0.46). After adjustment for age, diabetes, coronary heart disease, atrial fibrillation, active smoking, and borderzone infarct, the adjusted HR was 0.99 (95% CI, 0.52–1.86; p=0.97). Severe bleeding occurred in 34 DAPT patients (2.26%) and 5 SAPT+AC patients (3.14%); unadjusted HR 0.79 (95% CI, 0.28–1.85; p=0.50), adjusted HR 0.66 (95% CI, 0.21–2.09; p=0.47). Conclusions: In patients with symptomatic ICAS, DAPT and SAPT+AC were associated with similar risks of 90-day recurrent ischemic stroke and severe bleeding. Well-powered randomized trials are needed to determine the optimal antithrombotic regimen in this high-risk population.
Abstract DP154: The Association Between Comprehensive Evaluation in ESUS and Stroke Recurrence: A secondary analysis of the Cardiac Abnormalities in Stroke Prevention and risk of Recurrence Study
Stretz, Christoph, Lewis, Skylar, Chahien, Dalia, Eklund, Kelsey , Khasiyev, Farid, Kasab, Sami Al, D'Souza, Marissa, Kerrigan, Deborah , Sharma, Richa, Nour, Hassan Osama Mostafa Aboul, Nahab, Fadi, Omran, Setareh Salehi , Linares, Guillermo , Sehgal, Siddharth, Singh, Eesha , Zha, Alicia , Mannion, Shani, Chen, Lucia , Thompson, Sean, Thon, Jesse, Penckofer, Mary , Yu, Wenzheng, Qdais, Ahmad Abu, Dumitrascu, Oana, Talat, Fawad , Kang, Jieun, Aziz, Yasmin, Zubair, Adeel , Havenon, Adam de, Bowman, Anna , Shahrivari, Mahan, Liebeskind, D, Nedelcu, Simona , Ali, Hamid , Kam, Wayneho , Nguyen, Thanh N., Herpich, Franziska , Farooqui, Mudassir, Rojas-Soto, Diana , Yaghi, Shadi, Khan, Fahad , Stretz, Christoph , Siegler, James E. , Lineback, Christina , Kasab, Sami Al , Culbertson, Collin J , D’Souza, Marissa , Stamm, Brian , Ro, Jennifer , Sharma, Richa , Nour, Hassan Aboul , Peter, Shani , Thon, Jesse , Jillella, Dinesh , Sloane, Kelly L , Aziz, Yasmin , Brorson, James R. , Farooqui, Mudassir

Stroke | January 29, 2026 | Volume: 57 | Issue: Suppl_1 | Pages: No page available

10.1161/str.57.suppl_1.dp154 Get It

Background: Although the embolic stroke of undetermined source (ESUS) construct was proposed as a unifying concept for embolic-appearing strokes without an identified cause, it includes patients with diverse and often unrecognized underlying mechanisms. This study investigates the differential rate of recurrent stroke according to the completeness of neurodiagnostic testing in a diverse multicenter cohort. Methods: This was a retrospective analysis of a multicenter observational cohort study (n=27 sites). Patients with ESUS were categorized into three groups: (1) established mechanism after further work up (ESUS-E), (2) patients who underwent a comprehensive diagnostic workup without an identified etiology (ESUS 2.0), and (3) no advanced workup (ESUS-NAW). The primary outcome of recurrent ischemic stroke was assessed by comparing ESUS 2.0 to both ESUS-E and ESUS-NAW groups using adjusted Cox proportional hazards models. Results: Of the 2,281 patients included, 694 (30%) were classified as ESUS-E, 344 (15%) as ESUS 2.0, and 1,443 (55%) as ESUS-NAW. The ESUS 2.0 group had a significantly lower annualized recurrence rate (1.98 per 100 person-years) compared to both the ESUS-NAW group (7.7 per 100 person-years; aHR 0.27, 95% CI: 0.11–0.62; p=0.002) and the ESUS-E group (6.10 per 100 person-years; aHR = 0.35; 95% CI 0.15–0.85, p=0.020). Within the ESUS-E group, cancer (aHR 5.33; 95% CI: 2.09–13.63; p < 0.001) and non-stenosing atherosclerotic disease or arch atheroma (aHR 3.40; 95% CI: 1.18–9.83; p = 0.023) were associated with significantly increased risk of recurrence when compared to ESUS 2.0. Conclusion: These findings demonstrate a lower risk of recurrent stroke in patients classified as ESUS 2.0, diverging from the 5–6% annual recurrence rates observed in prior ESUS trials. These findings suggest that patients who receive comprehensive diagnostic evaluation without identification of a specific etiology have a lower risk of recurrent stroke, an important consideration for the design of future ESUS studies.
Hematological symptom burden and treatment patterns in patients with IgG4-related disease: A real-world, multicenter retrospective analysis
Vojjala, Nikhil, Gillani, Syed Fahad, Shah, Rushi, Kotla, Nikhil Kumar, Mahadevia, Himil, Valasapalli, Srijan, Krishnamoorthy, Geetha, Singh, Vijendra, Vojjala, Nikhil, Gillani, Syed Fahad, Shah, Rushi, Kotla, Nikhil Kumar, Mahadevia, Himil, Valasapalli, Srijan, Krishnamoorthy, Geetha, Singh, Vijendra

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 4479-4479

10.1182/blood-2025-4479 Get It

Abstract Background: IgG4-related disease (IgG4-RD) is a rare, immune-mediated fibroinflammatory condition characterized by tissue infiltration with IgG4-positive plasma cells. While solid organ involvement is well documented, data on hematologic manifestations and associated outcomes remain limited. Understanding hematological burden and real-world treatment patterns is essential to guide comprehensive management. Methods: We conducted a multicenter, retrospective cohort study using the TriNetX Research Network, comprising electronic health records from multiple U.S. healthcare systems. Adults (≥18 years) with a diagnosis of IgG4-RD (ICD-10 codes) were included. Patients with a prior diagnosis of hematologic malignancy were excluded. Demographic characteristics, hematologic manifestations, treatment patterns, and overall mortality were assessed. The median follow-up duration was 519 days. Results: A total of 2,596 patients with IgG4-RD were identified, of whom 554 (21.3%) exhibited at least one hematologic manifestation. The mean age was 58.1 ± 15.9 years; 53% were male (n=1,379), and 57% were White (n=1,492). Hypertension was the most common comorbidity (44%, n=1,136). Among those with hematologic involvement, key manifestations included lymphadenopathy (n=605, 23.3%), hepatomegaly (n=114, 4.4%), splenomegaly (n=73, 2.8%), eosinophilia (n=71, 2.7%), pancytopenia (n=31, 1.2%), hypergammaglobulinemia (n=71, 2.7%), and monoclonal gammopathy (n=86, 3.3%). Regarding outcomes, 127 of 2,596 patients (4.9%) died during the follow-up period. Among those with hematologic manifestations, 36 of 554 (6.5%) died, indicating a numerically higher mortality rate in this subgroup. Treatment data revealed that all patients received corticosteroids as initial therapy. Additionally, 531 patients (20.4%) received steroid-sparing immunosuppressants. The most used agents included rituximab (6%), azathioprine (6%), mycophenolate mofetil (5%), and methotrexate (3%). Conclusion: In this large, real-world cohort of patients with IgG4-RD, hematologic manifestations were observed in over one-fifth of patients and were associated with a numerically higher mortality rate. Lymphadenopathy was the most common hematologic feature. Despite the widespread use of corticosteroids, a substantial proportion of patients required steroid-sparing agents. These findings highlight the hematologic complexity of IgG4-RD and underscore the need for multidisciplinary management and prospective studies focused on hematologic outcomes.