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50 citation(s) found for "Faizan, M A".

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.
Prognostic impact of ventricular arrhythmia timing in acute coronary syndromes treated with percutaneous coronary intervention: a systematic review and meta-analysis
Pizzi, D, Fazzini, L, Pugliesi, G M, Faizan, M A, Rehman, T, Meshkati, H, Perego, G B, Curti, E, Senni, M, Gori, M, Jentzer, J J, Fazzini, Luca , Pugliesi, Giordano Maria , Rehman, Tooba , Perego, Giovanni Battista , Curti, Emanuele, Senni, Michele , Gori, Mauro

Europace | June 25, 2026 | Volume: 28 | Issue: Supplement_1 | Pages: No page available

10.1093/europace/euag105.1031 Get It

Abstract Background Ventricular arrhythmias (VA) are common complications of acute coronary syndromes (ACS) and can cause cardiac arrest and adverse outcomes. However, the prognostic impact of VA according to their timing in relation to percutaneous coronary intervention (PCI) remains unclear. Purpose To assess the prognostic significance of VA in patients with ACS undergoing PCI according to the timing of occurrence (before, during, or after PCI). Methods We performed a systematic review and meta-analysis of observational studies reporting all-cause mortality with and without VA (sustained VT/VF) in ACS patients undergoing PCI. Pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using random-effects models for short-term (30 days/in-hospital) and long-term (1 year) mortality. Between-study heterogeneity was assessed using the I² statistic. We conducted subgroup analyses for studies that stratified VA according to timing, defined as VA before PCI (prior to arrival in the catheterization laboratory), VA during PCI (in the catheterization laboratory or immediately after reperfusion), VA after PCI (following completion of PCI). Each timing category was compared to patients who did not develop VA within the same time window (before, during or after PCI). Results Twelve studies comprising 49306 patients were included, of whom 4320 (8.76%) experienced VA. The mean age of the patients ranged from 60 to 70 years, and the follow-up ranged from hospital discharge to 8 years. VA was associated with increased short-term (OR 5.02 [3.91-6.44]) and long-term mortality (OR 3.00 [2.86-3.82]). However, in patients alive at discharge/30 days, subsequent long-term mortality risk did not differ between those with and without VA (OR 1.21 [0.70-2.09]) (Figure 1). The subgroup analyses showed that patients with VA were associated with higher short-term mortality compared to patients without VA within each time window: before (OR 4.32 [3.29-5.66]), during (OR 4.29 [2.08-8.84]), and after PCI (OR 9.29 [3.12-27.63]) (Figure 2). VA after PCI was associated with the highest OR for short-term mortality. Conclusions VA significantly worsens short-term outcomes in ACS patients undergoing PCI. Subgroup analysis shows that VA increases mortality in each timing category, before, during and after PCI, with the poorest prognosis observed for arrhythmias developed after reperfusion, in whom reversible acute ischemia may play a lesser role and underlying arrhythmic substrate may predominate.Figure 1Figure 2
Abstract TH902: Joint Impact of Social Determinants of Health Burden and Coronary Artery Disease on All-Cause and Cardiovascular Mortality: 18-Year Follow-up From National Health And Nutrition Examination Survey 2000–2018
Nizam, Muhammad, Kamel, Omar, Goel, Anika, Sharma, Grishma , Adusumilli, Devika , Gohar, Najam , Ahmed, Faizan, Goel, Anika , Ahmed, Faizan , Shahid, Izza

Circulation | April 30, 2026 | Volume: 153 | Issue: Suppl_1 | Pages: No page available

10.1161/cir.153.suppl_1.th902 Get It

Background: Coronary heart disease (CHD) remains the leading cause of death in the United States, yet the benefits of modern cardiovascular care are not equitably distributed. Social determinants of health (SDoH), which includes economic stability, education, healthcare access, and neighborhood environment, may substantially shape outcomes among patients with CHD. Our study evaluates the joint association of SDoH burden and CHD with mortality outcomes. Methods: We analyzed adults ≥20 years from the National Health and Nutrition Examination Survey (NHANES) 2000–2018, linked with the National Death Index through 2018. Cumulative SDoH burden was derived from eight domains (employment, poverty-to-income ratio, food insecurity, education, healthcare access, insurance, housing, marital status), categorized as low (0–2), moderate (3–5), or high (6–8). Weighted Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cardiovascular mortality by SDoH burden, stratified by CHD status, with sequential adjustment for demographic and cardiometabolic factors. Results: Among 49.3 million U.S. adults (mean age 46.1 ± 15.6 years; 44.8% female), 3.7% had CHD. Those with CHD were older (64.7 vs 45.4 years, p < 0.001), more often non-Hispanic White (94.2% vs 81.5%), and had greater waist circumference (106.1 vs 87.5 cm) but lower cholesterol (176 vs 202 mg/dL, p < 0.001). Participants with high SDoH burden had lower income and education. In weighted regression, higher SDoH burden and CHD were independently associated with greater all-cause and cardiovascular mortality. Fully adjusted models showed high SDoH burden tripled all-cause mortality risk (HR 3.00, p < 0.001), while CHD further amplified risk. Compared with low SDoH/no CHD, those with CHD and high SDoH burden had nearly a 14-fold higher all-cause mortality (HR 13.6, p < 0.001) and 17-fold higher cardiovascular mortality (HR 17.7, p < 0.001). Findings were consistent across sex, race, and metabolic subgroups, with mortality hazards often exceeding tenfold among those with both CHD and high SDoH burden. Conclusions: Cumulative SDoH burden is strongly and independently associated with mortality among adults with CHD, with evidence of a synergistic effect between biological and social vulnerability. These findings underscore the need for policies and interventions addressing upstream social inequities to improve survival in cardiovascular populations.
Demographics and mortality trends of hypertensive heart failure in the United States, 2006–2020: Insights from the CDC WONDER database
Haleem, Syed Mohammad , Zaman, Asad , Humayun, Mohammad A, Mubariz, Muhammad , Faisal, Abdul Rafae , Akhtar, Faisal , Laiba, FNU, Maity, Rick , Dhali, Arkadeep , Maity, Rick , Faizan, Muhammad , Singh, Pramod , Humayun, Mohammad Abdullah, Akhtar, Faisal Naveed

Journal of International Medical Research | April 10, 2026 | Volume: 54 | Issue: 4 | Pages: No page available

10.1177/03000605261417063 | PMID 41956996 Get It

Objective To comprehensively examine hypertension- and heart failure–related mortality rates in the United States to develop a targeted approach to health policy development. Methods We analyzed death certificates from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database, focusing on mortality caused by hypertensive heart failure in adults aged ≥25 years from 2006 to 2020. Age-adjusted mortality rates per 1,000,000 and annual percent changes were calculated and categorized by year, sex, race, urban status, age group, and census region. Results A total of 268,545 deaths occurred due to hypertensive heart failure between 2006 and 2020. The overall age-adjusted mortality rates increased from 60.5 in 2006 to 134.9 in 2020. Males had higher age-adjusted mortality rates than women (76.6 vs. 73.8). Older-aged people exhibited significantly higher age-adjusted mortality rates than young and middle-aged adults. Age-adjusted mortality rates were highest in non-Hispanic Blacks/African Americans and lowest in non-Hispanic Asians/Pacific Islanders (126.8–43.6). Furthermore, age-adjusted mortality rates were highest in individuals from nonmetropolitan areas and the Western region. Conclusion Following a period of decline, the age-adjusted mortality rates increased until 2020. The highest age-adjusted mortality rates were observed in non-Hispanic Blacks and nonmetropolitan areas. An urgent restructuring of healthcare policy is needed to reduce heart failure-associated mortality.
Dose‐Response Efficacy and Safety of Factor XI/XIa Inhibitors in Atrial Fibrillation; a Systematic Review and Meta‐Analysis With Subgroup Exploration and Trial Sequential Validation
Faizan, Muhammad Aqib , Rehman, Tooba, Dandamudi, Mrunalini , Menon, Jaivardhan A. , Ferrara, Victoria Zecchin , Kholeif, Zeyad, Tanvir, Alina, Saeed, Fatima , Ikram, Jibran , Chaudhri, Moiuz , Aslam, Main Muhammad Salman, Humayun, Zainab , Khalid, Ahmad Mustafa, Waqas, Saad Ahmad, Ahmad, Raheel, Cerna, Luis , Ikram, Jibran , Waqas, Saad Ahmad , Rehman, Tooba , Kholeif, Zeyad , Espiche, Carlos

Clinical Cardiology | February 12, 2026 | Volume: 49 | Issue: 2 | Pages: No page available

10.1002/clc.70263 | PMID 41677103 Get It

ABSTRACT Background Factor XI/XIa inhibitors are emerging anticoagulants with potential to reduce bleeding complications in atrial fibrillation (AF) patients. This meta‐analysis evaluated their efficacy and safety compared to direct oral anticoagulants (DOACs) and explored dose optimization. Methods A systematic search of PubMed, Cochrane, and Embase was conducted through March 2025 following PRISMA guidelines. Randomized controlled trials (RCTs) comparing Factor XI/XIa inhibitors with DOACs in AF patients were included. Outcomes assessed were major bleeding, stroke, systemic embolism, all‐cause and cardiovascular mortality and serious adverse events. Risk ratios (RR) with 95% confidence intervals (CI) were pooled using a Mantel‐Haenszel random‐effects model. Heterogeneity was evaluated with the I² statistic, and evidence certainty assessed by the GRADE approach. Trial Sequential Analysis (TSA) was performed. Results Three RCTs including 16,772 patients (mean age 73 years, CHA₂DS₂‐VASc 3.9–5) were analyzed. Factor XI/XIa inhibitors significantly reduced major bleeding (RR: 0.41, 95% CI: 0.36–0.46, I² = 0%) compared to DOACs. However, stroke risk was increased (RR: 3.42, 95% CI: 2.62–4.46), particularly with asundexian 50 mg (RR: 4.02). No significant differences were observed in all‐cause mortality (RR: 0.82) or cardiovascular death (RR: 1.05). Systemic embolism risk was higher (RR: 4.26), while serious adverse events were comparable (RR: 0.95). TSA indicated encouraging safety outcomes but highlighted the need for further large‐scale studies. Conclusion Factor XI/XIa inhibitors lower major bleeding risk in AF patients but increase stroke and systemic embolism rates without impacting mortality.
Evolving Mortality Burden of Valvular Heart Disease with Atrial Fibrillation Among U.S. Adults Aged 45 Years and Older: Trends (1999–2023) and Projections to 2035
Ahmed, Faizan , Kotadiya, Fenilkumar , Rauf, Saman, Sharma, Grishma , Tahir, Haris Bin, Tahir, Faizan, Bhat, Ayesha, Masood, Areehah Zafar, Waheed, Abdul , Qadeer, Talha, Saleemi, Fatima, Gohar, Najam , Almendral, Jesús , Patel, Swapnil , Mirza, Tehmasp Rehman , Rauf, Saman , Tahir, Haris Bin , Ali, Ramsha, Bhat, Ayesha, Waheed, Abdul, Qadeer, Talha, Saleemi, Fatima

No container title available | November 27, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-7950876/v1 Get It

Abstract Background Valvular heart disease (VHD) and atrial fibrillation (AF) frequently coexist, presenting complex clinical challenges despite advances in diagnostics and therapeutics. Together, they contribute substantially to cardiovascular mortality. However, epidemiological patterns vary across demographics and regions Methods Mortality data from 1999–2023 were obtained from the CDC WONDER database. Deaths attributed to VHD (ICD-10: I30-I52) with co-diagnosed AF (ICD-10: I48) among adults ≥ 45 were included. Age-adjusted mortality rates (AAMRs) per 1,000,000 population were calculated. Autoregressive integrated moving average (ARIMA) models were used to project mortality trends through 2035. Results From 1999 to 2023, there were 172,511 VHD and Afib-related deaths in adults ≥ 45. AAMRs increased until 2021, followed by a slight decline to 8.86. The overall AAPC for VHD with AF was 4.01%. AAMR increase was consistent across all age groups, highest seen in 65 + individuals. Males had consistently higher AAMRs than females. AAPC for males was 4.44% and for females 3.52%. Non- Hispanic White had the highest AAMR (10.56 in 2021), followed by Hispanics (4.19). Regionally, the West had the highest AAMR (11.27), followed by Mid-West (9.94). Non-metropolitan areas had higher AAMR 8.96 compared to metropolitan areas (AAMR: 7.59). Most VHD related deaths were reported in inpatient settings (n = 396,451) and 12% involved co-diagnosed AF. Conclusion Mortality associated with VHD and AF in the U.S population aged ≥ 45 has shown a concerning increase. Predictive models indicate this trend may persist, highlighting the need for early detection, equitable healthcare access and public health interventions tailored to high-risk populations.
Abstract 4373660: Efficacy and Safety of Obicetrapib in Dyslipidemia or Atherosclerotic Cardiovascular Disease: A Systematic Review and Meta-Analysis
Ibrahim, Alyaa, Bahnasy, Ahmed, Ishtiaq, Saniya, Mohamed, Abdelrhman Hassan , Islam, Md Rafiqul , Younas, Muhammad, Ali, Muhammad Faizan , Hemida, Mohamed Fawzi , Hammad, Noha, Ibrahim, Alyaa Ahmed , Ishtiaq, Saniya, Shahriar, Zahin , Younas, Muhammad, Sarfraz, Muhammad Raza

Circulation | November 3, 2025 | Volume: 152 | Issue: Suppl_3 | Pages: No page available

10.1161/circ.152.suppl_3.4373660 Get It

Background: Obicetrapib is a next-generation cholesteryl ester transfer protein (CETP) inhibitor. It has emerged as a promising agent for improving lipid parameters and potentially reducing risk of atherosclerotic cardiovascular disease (ASCVD). Methods: A systematic search of databases, including PubMed, Scopus, Embase, Web of Science, Clinical Trials, and Cochrane Library, was conducted to identify relevant randomized controlled trials (RCTs). Outcomes included the assessment of LDL-C reduction, changes in ApoB, non-HDL-C, HDL-C, triglycerides, Lp(a), MACE, as well as the safety and tolerability profile of Obicetrapib in patients with dyslipidemia or ASCVD. Standardized mean differences (SMD) with 95% confidence intervals (CI) were pooled using random-effects. Results: Seven RCTs encompassing 3483 patients were included. Obicetrapib significantly improved lipid parameters. It reduced LDL-C (MSD: –35.43; 95% CI: –40.14 to –30.17; I2 = 93.26%), non-HDL-C (MSD: –36.42; 95% CI: –42.77 to –30.07; I2 = 99.06%), ApoB (MSD: –23.38; 95% CI: –30.68 to –16.08; I2 = 88.56%), and Lp(a) (MSD: –23.95; 95% CI: –35.26 to –12.63; I2 = 77.14%). Obicetrapib also led to a reduction in TG levels (MSD: –0.12; 95% CI: –0.19 to –0.05; I2 = 0.00%). In contrast, favorable increases were observed in HDL-C (MSD: 77.35; 95% CI: 64.56 to 90.13; I2 = 95.82%) and ApoA1 (MSD: 63.93; 95% CI: 53.65 to 74.21; I2 = 81.89%). Despite high heterogeneity, these results support Obicetrapib’s effectiveness in improving atherogenic lipid markers. Obicetrapib demonstrated a safety profile comparable to placebo. The overall risk of any adverse event was slightly reduced in the Obicetrapib group compared to placebo, but the 95% CI included 1, (RR: 0.96; 95% CI: 0.76 to 1.21; I2 = 66.3%; p = 0.01). Specific adverse events such as diarrhea (OR: 1.56; 95% CI: 0.34 to 7.11; I2 = 5.16%; p = 0.57), headache (OR: 1.17; 95% CI: 0.74 to 1.84; I2 = 0.00%; p = 0.50), and back pain (RR: 0.36; 95% CI: 0.11 to 1.16; I2 = 18.3%; p = 0.26) were also not significantly different between groups. Overall, Obicetrapib appears well-tolerated without increased adverse events. Conclusion: Obicetrapib significantly improved lipid parameters, notably reducing LDL-C, non-HDL-C, ApoB, Lp(a), and triglycerides, while increasing HDL-C and ApoA1, with a favorable and comparable safety profile.
SAT-623 Regional Incidence and Prevalence of Type-1 Diabetes Mellitus among Adolescents and Young Adults (15-39) from 1990 to 2021: A Global Burden of Disease Study
Ahmad, Husnain , Kakakhel, Mian Zahid Jan , Ullah, Aman, Ikram, Jibran, Qadeer, Abdul , Khawar, Muneeb , Jawad, Hamna , Haider, Sareer, Haider, Rabbia, Ullah, Aman, Saeed, Muhammad , Haider, Sareer, Ahmed, Faizan , Kirchoff, Robert W.

Journal of the Endocrine Society | October 23, 2025 | Volume: 9 | Issue: Supplement_1 | Pages: No page available

10.1210/jendso/bvaf149.1149 Get It

Abstract Disclosure: H. Ahmad: None. M. Kakakhel: None. A. Ullah: None. M. Saeed: None. J. Ikram: None. A. Qadeer: None. M. Khawar: None. H. Jawad: None. S. Haider: None. R. Haider: None. F. Ahmed: None. R.W. Kirchoff: None. Background: Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by the destruction of insulin-producing cells in the pancreas. It is a global health concern with regional variation in incidence and prevalence. This study aims to analyze the regional incidence and prevalence of T1DM among adolescents and young adults (15-39 years) from 1990 to 2021 in 26 regions. Methods: Global Burden of Disease (GBD) data for 2021 were analyzed to assess regional incidence and prevalence of T1DM among adolescents and young adults. The Annual Average Percentage Change (AAPC) was calculated to evaluate trends from 1990 to 2021, with statistical significance determined using p-values. Results: In 2021, middle socio-demographic index (SDI) has the highest incidence (54541) as well as prevalence (1.86 million), followed by Low-middle SDI (I: 48416, P: 1.80 million) and South Asia (I: 46310, P: 1.73 million). Oceania has the lowest incidence (356) as well as prevalence (12885), followed by Andean Latin America (I: 911, P: 31954) and Caribbean regions (I: 1214, P: 54610), respectively. The largest increase in AAPC of incidence was showed by Southern Latin America (2.23, CI: 2.11-2.30), High-income Asia Pacific (2.22, CI: 2.18-2.26), and Western Europe (1.80, CI: 1.73-1.84) regions, while Western Europe (1.72, CI: 1.66-1.75), Eastern Europe (1.64, CI: 1.63-1.66), and Australasia (1.38, CI: 1.36-1.40) showed largest increase in AAPC of prevalence. The Caribbean region had the greatest decline in AAPC of prevalence (-0.11, CI: -0.08 to -0.12) followed by Eastern Sub-Saharan Africa (-0.07, CI: -0.06 to -0.09) and Central Latin America (-0.04, CI: -0.02 to -0.07). There was no region with decline in incidence. All AAPC values were statistically significant (p &lt; 0.000001). Conclusion: Middle SDI region exhibited the highest incidence and prevalence, highlighting the vulnerability of these populations, while Oceania and Andean Latin America bore the least burden. Notably, several regions, particularly in Europe, experienced substantial increases in both incidence and prevalence, emphasizing the need for targeted interventions. Conversely, some regions, such as the Caribbean, showed encouraging declines in prevalence, suggesting that effective prevention and control strategies can be implemented. These findings underscore the importance of tailored approaches to address the evolving burden of T1DM. Presentation: Saturday, July 12, 2025
MON-804 Cracks in the Foundation: Temporal and Geographic Trends in Bone Disorder Mortality in the U.S.
Kakakhel, Mian Zahid Jan , Cheema, Shamikha , Haider, Rabbia, Noor, Rizwana, L, Snehasis Jana Omprakash, Irshad, Sara Muhammad, Ullah, Aman , Jawad, Hamna , Nawaz, Ayeza, Khawar, Muneeb , Qadeer, Abdul , Ahmad, Husnain , Alcaraz, Renato, N.L, Swathi, Nawaz, Ayeza, Ahmed, Faizan

Journal of the Endocrine Society | October 23, 2025 | Volume: 9 | Issue: Supplement_1 | Pages: No page available

10.1210/jendso/bvaf149.546 Get It

Abstract Disclosure: M. Kakakhel: None. S. Cheema: None. R. Haider: None. R. Noor: None. S. N.l: None. S.M. Irshad: None. A. Ullah: None. H. Jawad: None. A. Nawaz: None. M. Khawar: None. A. Qadeer: None. H. Ahmad: None. R. Alcaraz: None. F. Ahmed: None. Background: Bone density and structure-related disorders, such as osteoporosis and related fractures, significantly contribute to morbidity and mortality, particularly among aging populations. Monitoring temporal trends and geographic variations in mortality is essential to inform targeted public health interventions. In this study, we aimed to examine temporal and geographic variations in mortality associated with bone density and structure-related disorders in the United States from 1999 to 2022. Methods: Using ICD-10 codes M80-M85, this retrospective ecological study utilized mortality data extracted from the CDC WONDER database for the years 1999-2022. Age-adjusted mortality rates (AAMRs) were calculated and stratified by demographic variables (age, sex, and race/ethnicity) and geographic regions. Temporal trends were analyzed using Joinpoint regression to estimate annual percent changes (APCs). Geographic variations were visualized using choropleth maps, and subgroup analyses were performed to explore disparities. Statistical significance was set at p &lt; 0.05. Results: Age-adjusted mortality rates (AAMRs) for bone density and structure-related disorders decreased overall from 1999 to 2019, with a subsequent rise observed in 2020 and 2022. Joinpoint regression revealed a significant negative trend from 2007-2016 (APC = -7.46%, p &lt; 0.000001), followed by a positive reversal from 2019-2022 (APC = 3.78%, p = 0.013). Both males and females experienced declines in mortality, but females had a slightly higher APC of -3.10% compared to -2.82% for males. Asian/Pacific Islander groups exhibited the most pronounced decrease in mortality (APC = -11.92%, p &lt; 0.000001) from 2009-2015, with a positive rebound in recent years. Black or African American populations had the smallest decline (APC = -1.35%). The Southern U.S. experienced the steepest decline in mortality from 2010-2016 (APC = -10.92%, p &lt; 0.000001), followed by a strong positive trend from 2019-2022 (APC = 6.61%, p &lt; 0.000001). Conversely, the West and Northeast regions showed milder trends with less pronounced reversals. Older age groups (65-74, 75-84) showed significant decreases in mortality, particularly the 65-74 group, which reversed to a positive trend (APC = 6.97%) from 2019-2022. The highest number of deaths occurred at the decedent’s home (3,330 in 2022). Subgroup analyses indicated significant temporal shifts in the mortality patterns across different racial/ethnic groups and geographic regions. Hispanic/Latino and Asian/Pacific Islander populations exhibited an increase in mortality rates post-2019, particularly in 2020. Conclusion: From 1999 to 2022, mortality from bone density and structure-related disorders in the U.S. exhibited significant temporal and geographic variations. These findings highlight the need for targeted public health strategies. Presentation: Monday, July 14, 2025
SUN-612 Gender-Specific Prevalence and Incidence Trends in Type 1 Diabetes Mellitus: A Global Burden of Disease Analysis in Adolescents and Young Adults (Aged 15-39) from 1990 to 2021
Kakakhel, Mian Zahid Jan , Fatima, Sumaiyah, Ahmad, Husnain , Ibrahim, Arwa , Haider, Rabbia, Jawad, Hamna , Qadeer, Abdul , Khawar, Muneeb , Ahmed, Faizan , Fatima, Sumaiyah, Rahman, Waqas, Ikram, Jibran , Kirchoff, Robert W.

Journal of the Endocrine Society | October 23, 2025 | Volume: 9 | Issue: Supplement_1 | Pages: No page available

10.1210/jendso/bvaf149.1261 Get It

Abstract Disclosure: M. Kakakhel: None. S. Fatima: None. H. Ahmad: None. A. Ibrahim: None. W. Rahman: None. R. Haider: None. H. Jawad: None. A. Qadeer: None. M. Khawar: None. F. Ahmed: None. J. Ikram: None. R. Kirchoff: None. Background: Across the world, type 1 diabetes mellitus (T1DM) is a major health problem for teenagers and young people. This study aims to examine the incidence and prevalence of T1DM by gender in the 15-39 age range between 1990 and 2021. Methods: We analyzed data from the Global Burden of Disease (GBD) to evaluate incidence and prevalence rates of T1DM in each gender from 1990 to 2021. The Annual Percentage Change (APC) and The Annual Average Percentage Change (AAPC) was used to assess trends, with p-values determining the statistical significance. Results: From 1990 to 2021, the global prevalence of T1DM was found to be increased steadily for both genders, with the highest rates recorded in 2021: 247.32 per 100,000 for females and 246.47 per 100,000 for males. Incidence rates in 2021 showed a contrasting pattern, with males exhibiting higher rates (7.18 per 100,000) compared to females (5.98 per 100,000). AAPC analysis showed that males exhibit a faster rise in both prevalence and incidence compared to females over the study period. The difference in AAPC between males and females is more pronounced for prevalence (+0.3748%) compared to incidence (+0.1956%), with all AAPC values being statistically significant (p &lt; 0.000001). Following the APC analysis, other significant trends were revealed. Male incidence experienced the greatest increase during 2015-2021, with an APC of +1.9033% (p &lt; 0.000001), whereas female incidence increased most between 2011 and 2014 (APC = +1.3050%; p &lt; 0.000001). In contrast, the most significant decline in incidence was observed in females during 1990-1992, with an APC of +0.1665% (p = 0.006799), which was the lowest increase in the dataset. For prevalence, males exhibited the highest increase during 2015-2021, with an APC of +1.3938% (p &lt; 0.000001), whereas females had their peak increase during 2006-2009, with an APC of +0.8957% (p &lt; 0.000001). The slowest increase in prevalence for females occurred during 2014-2019, with an APC of +0.4591% (p &lt; 0.000001). Conclusion: The prevalence and incidence of T1DM among people aged 15-39 increased significantly between 1990 and 2021, with a greater increase in males. This highlights the need for gender-specific strategies in T1DM prevention and management, and research into the factors driving these disparities. Presentation: Sunday, July 13, 2025