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. 2025 May 23;82(8):765–787. doi: 10.1001/jamaneurol.2025.1522

Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage

The Global Burden of Disease Study 2021

GBD 2021 Global Subarachnoid Hemorrhage Risk Factors Collaborators, Ilari Rautalin 1,2,, Victor Volovici 3,4, Benjamin A Stark 5, Catherine O Johnson 5, Jaakko Kaprio 6, Miikka Korja 1, Rita V Krishnamurthi 7, Balakrishnan Sukumaran Nair 8, Annemarei Ranta 9,10, Gabriel J E Rinkel 11, Mervyn D I Vergouwen 12, Yohannes Habtegiorgis Abate 13, Hedayat Abbastabar 14, Foad Abd-Allah 15, Atef Abdelkader 16, Parsa Abdi 17, Arash Abdollahi 18, Auwal Abdullahi 19,20, Olugbenga Olusola Abiodun 21, Richard Gyan Aboagye 22, Mohamed Abouzid 23, Dariush Abtahi 24, Samir Abu Rumeileh 25, Ahmed Abualhasan 15, Hasan Abualruz 26, Hana J Abukhadijah 27, Ahmed Abu-Zaid 28,29, Lawan Hassan Adamu 30,31, Isaac Yeboah Addo 32,33, Rufus Adesoji Adedoyin 34, Oyelola A Adegboye 35, Saryia Adra 36, Leticia Akua Adzigbli 37, Williams Agyemang-Duah 38, Bright Opoku Ahinkorah 39, Aqeel Ahmad 40, Danish Ahmad 41,42, Amir Mahmoud Ahmadzade 43, Ali Ahmed 44,45, Haroon Ahmed 46, Syed Anees Ahmed 47, Budi Aji 48, Mohammed Ahmed Akkaif 49, Yazan Al-Ajlouni 50,51, Ziyad Al-Aly 52,53, Mohammed Albashtawy 54, Mohammed Usman Ali 55,56, Sheikh Mohammad Alif 57,58, Yousef Alimohamadi 59, Syed Mohamed Aljunid 60,61, Mahmoud A Alomari 62,63, Ahmad Alrawashdeh 64, Mohammed A Alsabri 65,66, Rustam Al-Shahi Salman 67, Awais Altaf 68, Alaa B Al-Tammemi 69,70, Nelson Alvis-Guzman 71,72, Hassan Alwafi 73, Mohammad Al-Wardat 74, Yaser Mohammed Al-Worafi 75,76, Hany Aly 77, Mohammad Sharif Ibrahim Alyahya 78, Karem H Alzoubi 79,80, Reza Amani 81,82, Tarek Tawfik Amin 83, Alireza Amindarolzarbi 84, Ganiyu Adeniyi Amusa 85,86, Deanna Anderlini 87,88, Dhanalakshmi Angappan 89, Abhishek Anil 90,91, Boluwatife Stephen Anuoluwa 92, Saleha Anwar 93,94, Anayochukwu Edward Anyasodor 95, Geminn Louis Carace Apostol 96,97, Jalal Arabloo 98, Demelash Areda 99,100, Johan Ärnlöv 101,102, Anton A Artamonov 103, Kurnia Dwi Artanti 104, Ashokan Arumugam 105,106, Zahra Aryan 107,108, Mohammad Asghari-Jafarabadi 109,110, Mubarek Yesse Ashemo 111,112, Tahira Ashraf 113, Mohammad Athar 114,115, Seyyed Shamsadin Athari 116, Avinash Aujayeb 117, Adedapo Wasiu Awotidebe 19,118, Sina Azadnajafabad 119,120, Shahkaar Aziz 121, Ahmed Y Azzam 122,123, Giridhara Rathnaiah Babu 124, Nasser Bagheri 125, Pegah Bahrami Taghanaki 126, Saeed Bahramian 127, Ruhai Bai 128, Atif Amin Baig 129, Abdulaziz T Bako 130, Ovidiu Constantin Baltatu 131,132, Kiran Bam 133, Maciej Banach 134,135, Soham Bandyopadhyay 136,137, Biswajit Banik 57,138, Mainak Bardhan 139, Suzanne Lyn Barker-Collo 140, Till Winfried Bärnighausen 141,142, Hiba Jawdat Barqawi 36, Lingkan Barua 143, Mohammad-Mahdi Bastan 108,144, Sanjay Basu 145,146, Shelly L Bell 147,148, Isabela M Bensenor 149, Alemshet Yirga Berhie 150, Kebede A Beyene 151,152, Akshaya Srikanth Bhagavathula 153,154, Sonu Bhaskar 155,156, Ajay Nagesh Bhat 157, Vivek Bhat 158, Gurjit Kaur Bhatti 159, Jasvinder Singh Bhatti 160, Ali Bijani 161, Boris Bikbov 162, Mekuriaw Mesfin Birhan 163, Mulugeta M Birhanu 164,165, Veera R Bitra 166, Archith Boloor 167, Hamed Borhany 168, Susanne Breitner 169,170, Hermann Brenner 171, Raffaele Bugiardini 172, Norma B Bulamu 173, Zahid A Butt 174,175, Lucas Scotta Cabral 176,177, Florentino Luciano Caetano dos Santos 178, Daniela Calina 179, Luis Alberto Cámera 180,181, Luciana Aparecida Campos 182,183, Ismael Campos-Nonato 184, Angelo Capodici 185,186, Felix Carvalho 187, Carlos A Castañeda-Orjuela 188,189, Alberico L Catapano 190,191, Luca Cegolon 192,193, Joshua Chadwick 194, Chiranjib Chakraborty 195,196, Promit Ananyo Chakraborty 197, Sandip Chakraborty 198, Rama Mohan Chandika 199, Gashaw Sisay Chanie 200, Vijay Kumar Chattu 201,202, Anis Ahmad Chaudhary 203, Gerald Chi 204, Fatemeh Chichagi 205, Patrick R Ching 206, Hitesh Chopra 207, Sonali Gajanan Choudhari 208, Enayet Karim Chowdhury 209,210, Dinh-Toi Chu 211,212, Sheng-Chia Chung 213,214, Alyssa Columbus 215, Michael H Criqui 216, Alanna Gomes da Silva 217, Mohammad Amin Dabbagh Ohadi 218, Omid Dadras 219,220, Xiaochen Dai 5,221, Koustuv Dalal 222, Lachlan L Dalli 164, Emanuele D’Amico 223, Mohsen Dashti 224, Kairat Davletov 225, Vanessa De la Cruz-Góngora 226, Shayom Debopadhaya 227, Ivan Delgado-Enciso 228,229, Emina Dervišević 230, Vinoth Gnana Chellaiyan Devanbu 231, Syed Masudur Rahman Dewan 232,233, Amol S Dhane 234, Mahmoud Dibas 235, Thanh Chi Do 236, Thao Huynh Phuong Do 237, Sushil Dohare 238, Mohamed Fahmy Doheim 239, Klara Georgieva Dokova 240, Deepa Dongarwar 241, Mario D’Oria 192,242, Ojas Prakashbhai Doshi 243, Rajkumar Prakashbhai Doshi 244,245, Robert Kokou Dowou 37, Haneil Larson Dsouza 246,247, Siddhartha Dutta 248, Arkadiusz Marian Dziedzic 249, Abdel Rahman E’mar 77, David Edvardsson 250, Defi Efendi 251,252, Ferry Efendi 253, Nevine El Nahas 254, Islam Y Elgendy 255,256, Muhammed Elhadi 257,258, Chadi Eltaha 259, Mohd Elmagzoub Eltahir 260, Theophilus I Emeto 261, Natalia Fabin 262, Adeniyi Francis Fagbamigbe 263,264, Ayesha Fahim 265, Ildar Ravisovich Fakhradiyev 266, Jawad Fares 267, Pawan Sirwan Faris 268,269, Nelsensius Klau Fauk 270,271, Timur Fazylov 272, Ginenus Fekadu 273,274, Nuno Ferreira 275, Getahun Fetensa 276, Florian Fischer 277, Matteo Foschi 278,279, Ni Kadek Yuni Fridayani 280, Abduzhappar Gaipov 281, Avi A Gajjar 282,283, Aravind P Gandhi 284, Balasankar Ganesan 285, Ravindra Kumar Garg 286, Miglas Welay Gebregergis 287, Mesfin Gebrehiwot 288, Teferi Gebru Gebremeskel 289,290, Molla Getie 291, Delaram J Ghadimi 292, Fataneh Ghadirian 293, Sulmaz Ghahramani 294, Afsaneh Ghasemzadeh 224, Ramy Mohamed Ghazy 295,296, Maryam Gholamalizadeh 297, Sherief Ghozy 298, Artyom Urievich Gil 299, Jaleed Ahmed Gilani 300, Elena V Gnedovskaya 301, Pouya Goleij 302,303, Alessandra C Goulart 304, Barbara Niegia Garcia Goulart 305, Shi-Yang Guan 306, Sapna Gupta 307, Farrokh Habibzadeh 308, Mostafa Hadei 309, Najah R Hadi 310, Samer Hamidi 311, Nasrin Hanifi 312, Graeme J Hankey 313,314, Netanja I Harlianto 315,316, Josep Maria Haro 317,318, Faizul Hasan 319, Hamidreza Hasani 320, Md Saquib Hasnain 321, Mahgol Sadat Hassan Zadeh Tabatabaei 322, Johannes Haubold 323,324, Rasmus J Havmoeller 325, Simon I Hay 5,221, Youssef Hbid 326,146, Golnaz Heidari 327, Mohammad Heidari 328, Mehdi Hemmati 329,330, Yuta Hiraike 331, Nguyen Quoc Hoan 332, Ramesh Holla 333, Mehdi Hosseinzadeh 334,335, Sorin Hostiuc 336,337, Junjie Huang 338, Hong-Han Huynh 339, Bing-Fang Hwang 340,341, Segun Emmanuel Ibitoye 342, Nayu Ikeda 343, Adalia Ikiroma 344, Mehran Ilaghi 345,346, Olayinka Stephen Ilesanmi 347,348, Irena M Ilic 349, Milena D Ilic 350, Md Rabiul Islam 351, Nahlah Elkudssiah Ismail 352,353, Hiroyasu Iso 354, Gaetano Isola 355, Masao Iwagami 356,357, Louis Jacob 358,359, Abdollah Jafarzadeh 360,361, Akhil Jain 362, Ammar Abdulrahman Jairoun 363, Mihajlo Jakovljevic 364,365, Abubakar Ibrahim Jatau 366, Talha Jawaid 367, Sathish Kumar Jayapal 368, Jost B Jonas 369,370, Nitin Joseph 371, Mikk Jürisson 372, Vidya Kadashetti 373, Rizwan Kalani 374, Vineet Kumar Kamal 375,376, Arun Kamireddy 377, Tanuj Kanchan 378, Himal Kandel 379,380, Jafar Karami 381,382, Ibraheem M Karaye 383,384, Yeganeh Karimi 385, Arman Karimi Behnagh 386,387, Faizan Zaffar Kashoo 388, Gbenga A Kayode 389,390, Foad Kazemi 391, Emmanuelle Kesse-Guyot 392,393, Yousef Saleh Khader 394, Inn Kynn Khaing 395, Fayaz Khan 396, Mohammad Jobair Khan 56, Haitham Khatatbeh 397, Moawiah Mohammad Khatatbeh 398, Hamid Reza Khayat Kashani 399, Khalid A Kheirallah 394, Feriha Fatima Khidri 400, Moein Khormali 322, Atulya Aman Khosla 401,402, Kwanghyun Kim 403, Yun Jin Kim 404, Adnan Kisa 405,406, Sezer Kisa 407, Mika Kivimäki 408,409, Ali-Asghar Kolahi 410, Farzad Kompani 411, Oleksii Korzh 412, Karel Kostev 413,414, Nikhil Kothari 415, Kewal Krishan 416, Varun Krishna 417, Vijay Krishnamoorthy 418,419, Mohammed Kuddus 420, Mukhtar Kulimbet 421,422, Setor K Kunutsor 423,424, Maria Dyah Kurniasari 425,426, Dian Kusuma 427,428, Ville Kytö 429,430, Carlo La Vecchia 431, Chandrakant Lahariya 432,433, Daphne Teck Ching Lai 434,435, Hanpeng Lai 436,437, Tri Laksono 438,439, Tea Lallukka 409, Kamaluddin Latief 440,441, Kaveh Latifinaibin 442, Nhi Huu Hanh Le 443,444, Thao Thi Thu Le 445, Munjae Lee 446, Seung Won Lee 447, Wei-Chen Lee 448, Yo Han Lee 449, Jacopo Lenzi 450, Matilde Leonardi 451, Ming-Chieh Li 452, Xiaopan Li 453, Stephen S Lim 5,221, Jialing Lin 454, Xuefeng Liu 455,456, Valerie Lohner 457, László Lorenzovici 458,459, Paulo A Lotufo 460, Giancarlo Lucchetti 461, Jay B Lusk 462, Ricardo Lutzky Saute 463, Hawraz Ibrahim M Amin 464,465, Armaan K Malhotra 466, Kashish Malhotra 467,468, Ahmad Azam Malik 469, Deborah Carvalho Malta 470, Mohammad Ali Mansournia 471, Lorenzo Giovanni Mantovani 472,473, Emmanuel Manu 474, Hamid Reza Marateb 475,476, Mirko Marino 477, Seyed Farzad Maroufi 478,479, Ramon Martinez-Piedra 480, Santi Martini 481,482, Miquel Martorell 483,484, Roy Rillera Marzo 485,486, Yasith Mathangasinghe 487,488, Elezebeth Mathews 489, Andrea Maugeri 223, Steven M McPhail 490,491, Asim Mehmood 492, Man Mohan Mehndiratta 493,494, Kamran Mehrabani-Zeinabad 495, Ritesh G Menezes 496, Sultan Ayoub Meo 497, Atte Meretoja 498,499, Tomislav Mestrovic 5,500, Chamila Dinushi Kukulege Mettananda 501,502, Tomasz Miazgowski 503, Ana Carolina Micheletti Gomide Nogueira de Sá 470, Giuseppe Minervini 504,505, Le Huu Nhat Minh 506,507, Andreea Mirica 508, Erkin M Mirrakhimov 509,510, Mohammad Mirza-Aghazadeh-Attari 511,512, Ajay Kumar Mishra 513, Prasanna Mithra 371, Abdalla Z Mohamed 514, Ahmed Ismail Mohamed 515,516, Ameen Mosa Mohammad 517, Soheil Mohammadi 518, Abdollah Mohammadian-Hafshejani 519, Shafiu Mohammed 520,141, Ali H Mokdad 5,221, Sabrina Molinaro 521, Shaher Momani 522,523, Mohammad Ali Moni 524,525, AmirAli Moodi Ghalibaf 526, Maryam Moradi 527, Yousef Moradi 528, Paula Moraga 529, Lidia Morawska 530, Ahmed Msherghi 531, Kavita Munjal 532, Christopher J L Murray 5,221, Ahamarshan Jayaraman Nagarajan 533,534, Ganesh R Naik 290,535, Soroush Najdaghi 536,537, Noureddin Nakhostin Ansari 538,539, Shumaila Nargus 540, Delaram Narimani Davani 536, Zuhair S Natto 541,542, Javaid Nauman 543,544, Nawsherwan 545, Vinod C Nayak 546, Athare Nazri-Panjaki 547, Ruxandra Irina Negoi 548,549, Soroush Nematollahi 550, Charles Richard James Newton 551,552, Duc Hoang Nguyen 553,554, Hau Thi Hien Nguyen 555,556, Hien Quang Nguyen 557, Phat Tuan Nguyen 558, Van Thanh Nguyen 559, Robina Khan Niazi 560, Yeshambel T Nigatu 561, Ali Nikoobar 410, Antonio Tolentino Nogueira de Sá 562, Shuhei Nomura 563,564, Jean Jacques Noubiap 565, Fred Nugen 566,567, Chimezie Igwegbe Nzoputam 568, Bogdan Oancea 569, Michael Safo Oduro 570, Tolulope R Ojo-Akosile 571, Hassan Okati-Aliabad 572, Sylvester Reuben Okeke 33,573, Akinkunmi Paul Okekunle 574,575, Andrew T Olagunju 576,577, Muideen Tunbosun Olaiya 133, Arão Belitardo Oliveira 578,579, Gláucia Maria Moraes Oliveira 580, Abdulhakeem Abayomi Olorukooba 581, Isaac Iyinoluwa Olufadewa 582,583, Raffaele Ornello 584,585, Esteban Ortiz-Prado 586, Uchechukwu Levi Osuagwu 587,588, Amel Ouyahia 589,590, Mayowa O Owolabi 591,592, Ahmad Ozair 593,594, Mahesh Padukudru P A 595, Alicia Padron-Monedero 596, Jagadish Rao Padubidri 597, Demosthenes Panagiotakos 598,599, Georgios D Panos 600,601, Leonidas D Panos 602,603, Ioannis Pantazopoulos 604,605, Romil R Parikh 606, Seoyeon Park 607, Jay Patel 608,609, Urvish K Patel 610, Dimitrios Patoulias 611, Paolo Pedersini 612, Emmanuel K Peprah 613, Gavin Pereira 614,615, Arokiasamy Perianayagam 616, Norberto Perico 617, Simone Perna 618, Fanny Emily Petermann-Rocha 619,620, Anil K Philip 621, Michael A Piradov 622, Evgenii Plotnikov 623,624, Roman V Polibin 625, Maarten J Postma 626,627, Jalandhar Pradhan 628, Manya Prasad 629, Jagadeesh Puvvula 630, Nameer Hashim Qasim 631, Gangzhen Qian 632, Alberto Raggi 633, Fakher Rahim 634,635, Vafa Rahimi-Movaghar 322, Mosiur Rahman 636, Muhammad Aziz Rahman 637,250, Amir Masoud Rahmani 638, Mohammad Rahmanian 639, Sathish Rajaa 640, Ali Rajabpour Sanati 526, Pushp Lata Rajpoot 492, Prashant Rajput 641, Mahmoud Mohammed Ramadan 642,643, Shakthi Kumaran Ramasamy 644, Sheena Ramazanu 645,646, Amey Rane 647,648, Sina Rashedi 649,650, Mohammad-Mahdi Rashidi 108,410, Devarajan Rathish 651, Salman Rawaf 652,653, Christian Razo 5, Murali Mohan Rama Krishna Reddy 167, Elrashdy Redwan 654,655, Giuseppe Remuzzi 617, Nazila Rezaei 108, Negar Rezaei 108,656, Mohsen Rezaeian 657, Hermano Alexandre Lima Rocha 658, Jefferson Antonio Buendia Rodriguez 659,660, Leonardo Roever 661,662, Michele Romoli 663, Marina Romozzi 664, Allen Guy Ross 95, Himanshu Sekhar Rout 665,666, Nitai Roy 667, Priyanka Roy 668, Aly M A Saad 669, Zahra Saadatian 670,671, Siamak Sabour 672, Simona Sacco 673, Basema Ahmad Saddik 674,675, Erfan Sadeghi 676, Usman Saeed 677,678, Fatemeh Saheb Sharif-Askari 679, Amirhossein Sahebkar 680,681, Pragyan Monalisa Sahoo 682, Md Refat Uz Zaman Sajib 683, Luciane B Salaroli 684, Mohamed A Saleh 674,685, Yoseph Leonardo Samodra 686,687, Vijaya Paul Samuel 688, Abdallah M Samy 689,690, Milena M Santric-Milicevic 349,691, Aswini Saravanan 90,692, Tanmay Sarkar 693, Gargi Sachin Sarode 694, Sachin C Sarode 694, Benn Sartorius 695,696,221, Maheswar Satpathy 697,698, Markus P Schlaich 699,700, Ione Jayce Ceola Schneider 701, Art Schuermans 702,703, Siddharthan Selvaraj 704, Subramanian Senthilkumaran 705, Sadaf G Sepanlou 706,707, Yashendra Sethi 708, Allen Seylani 709, Ahmed Nabil Shaaban 710, Mahan Shafie 711, Moyad Jamal Shahwan 712, Masood Ali Shaikh 713, Summaiya Zareen Shaikh 714, Muhammad Aaqib Shamim 90, Anas Shamsi 712,715, Alfiya Shamsutdinova 716, Mohd Shanawaz 717, Mohammed Shannawaz 718, Amin Sharifan 719,720, Javad Sharifi Rad 721, Vishal Sharma 722, Bereket Beyene Shashamo 723, Mahabalesh Shetty 724, Premalatha K Shetty 725, Mika Shigematsu 726, Aminu Shittu 727, Ivy Shiue 728,729, Nathan A Shlobin 730, Seyed Afshin Shorofi 731,732, Emmanuel Edwar Siddig 733,734, Baljinder Singh 735, Paramdeep Singh 736, Puneetpal Singh 737, Surjit Singh 90, Farrukh Sobia 738, Ranjan Solanki 739,740, Shipra Solanki 741, Soroush Soraneh 742,743, Michael Spartalis 744, Suresh Kumar Srinivasamurthy 745, Jeffrey D Stanaway 5,221, Muhammad Haroon Stanikzai 746, Antonina V Starodubova 747,748, Jing Sun 95,749, Zhong Sun 750, Chandan Kumar Swain 665, Lukasz Szarpak 751,752, Payam Tabaee Damavandi 753, Seyyed Mohammad Tabatabaei 754,755, Seyed-Amir Tabatabaeizadeh 756,757, Celine Tabche 652, Jabeen Taiba 758,759, Iman M Talaat 36,760, Jacques Lukenze Tamuzi 761,762, Ker-Kan Tan 763, Mohamad-Hani Temsah 764, Masayuki Teramoto 765, Ramna Thakur 766, Kavumpurathu Raman Thankappan 767, Rasiah Thayakaran 468,768, Sathish Thirunavukkarasu 769, Jansje Henny Vera Ticoalu 770, Krishna Tiwari 90, Marcello Tonelli 771, Roman Topor-Madry 772,773, Marcos Roberto Tovani-Palone 505, An Thien Tran 236, Jasmine T Tran 774, Thang Huu Tran 775,776, Nguyen Tran Minh Duc 777, Thomas Clement Truelsen 778, Thien Tan Tri Tai Truyen 779, Daniel Hsiang-Te Tsai 780,781, Atta Ullah 782, Brigid Unim 783, Bhaskaran Unnikrishnan 333, Carolyn Anne Unsworth 285,784, Jibrin Sammani Usman 19,56, Sanaz Vahdati 785, Asokan Govindaraj Vaithinathan 786, Rohollah Valizadeh 787, Jef Van den Eynde 703, Joe Varghese 788, Tommi Juhani Vasankari 789,790, Narayanaswamy Venketasubramanian 791,792, Dominique Vervoort 793, Jorge Hugo Villafañe 794, Manish Vinayak 795, Sergey Konstantinovitch Vladimirov 796,797, Hatem A Wafa 798, Yasir Waheed 799,800, Waseem Wahood 801, Mandaras Tariku Walde 802, Yanzhong Wang 803, Nuwan Darshana Wickramasinghe 804, Peter Willeit 805,806, Asrat Arja Wolde 5,807, Charles D A Wolfe 803,808, Yihun Miskir Wubie 809, Hong Xiao 810,811, Suowen Xu 812,813, Xiaoyue Xu 675,814, Kazumasa Yamagishi 815,816, Yuichiro Yano 817, Amir Yarahmadi 818,819, Habib Yaribeygi 820, Sanni Yaya 821, Pengpeng Ye 822,823, Dong Keon Yon 824, Naohiro Yonemoto 815,825, Chuanhua Yu 826, Aurora Zanghì 827, Iman Zare 828, Michael Zastrozhin 829,830, Chen Zhang 831,832, Yunquan Zhang 833,834, Zhi-Jiang Zhang 835, Zhiqiang Zhang 836, Hanqing Zhao 837, Shang Cheng Zhou 838, Abzal Zhumagaliuly 421, Hafsa Zia 839,840, Magdalena Zielińska 841, Samer H Zyoud 712, Gregory A Roth 5,221,842, Valery L Feigin 7,5,622
PMCID: PMC12557468  PMID: 40406922

This cross-sectional study investigates the global burden of nontraumatic subarachnoid hemorrhage in 2021.

Key Points

Question

What is the global burden of nontraumatic subarachnoid hemorrhage (SAH)?

Findings

Results of this cross-sectional study, based on the Global Burden of Disease 2021 study, reveal that in 2021, there were 700 000 new SAH cases, almost 8 million patients with prevalent SAH, 350 000 SAH deaths, and over 10 million SAH-related disability-adjusted life-years globally. Despite decreasing age-standardized burden rates, SAH remained one of the most common cardiovascular and neurological causes of death and disability in the world.

Meaning

Given the high proportional burden of SAH, study results suggest evidence for the potential health benefits of proactive public health planning and resource allocation for SAH prevention.

Abstract

Importance

Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure.

Objective

To estimate the worldwide burden of SAH.

Design, Setting, and Participants

Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021.

Exposures

SAH and 14 modifiable risk factors.

Main Outcomes and Measures

Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs).

Results

In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution.

Conclusions and Relevance

Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.

Introduction

Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type after ischemic stroke and intracerebral hemorrhage, accounting for 5% to 10% of all strokes.1,2 Of all nontraumatic SAHs, approximately 85% are caused by the rupture of an intracranial aneurysm, which distinguishes its etiology, risk factors, symptoms, diagnostics, treatments, and outcomes from other types of stroke.3 Even though comprehensive SAH-specific burden and risk factor estimates would be crucial for its accurate evidence-based health care planning and resource allocation, SAH is still frequently clustered with other stroke types leaving its unique epidemiology and prevention strategies obscure.

Consistent with various population-based studies worldwide,4,5,6 a recent Global Burden of Diseases (GBD) 2021 stroke study reported that the age-standardized burden rates of SAH and other stroke types decreased globally with a substantial geographical variation.2 However, because the study focused mainly on stroke in general,2 many SAH-specific findings such as its rankings against the burden estimates of other critical health outcomes were not reported. Therefore, we decided to use the GBD 2021 dataset and focus solely on the global, regional, and national burden of SAH and its risk factors over the last 3 decades. Primarily, we hypothesized that even though the age-standardized burden rates of SAH are decreasing, they still consist of a substantial proportion of the burden related to cardiovascular, neurological, and noncommunicable diseases. This article was produced as part of the GBD Collaborator Network, and in accordance with the GBD protocol.7

Methods

Overview

Details of the GBD methodology are presented elsewhere.8,9 In brief, GBD studies have been conducted since 1990 to provide annual standardized burden estimates of critical health outcomes and their attribution to behavioral, environmental, and metabolic risks worldwide. By aiming to use all available evidence via its repeated cross-sectional study design, the GBD studies use censuses, household surveys, vital registrations, administrative data collections, disease registers, verbal autopsy tools, air pollution monitors, satellite imaging, and scientific literature as its primary data sources. Based on the actual data points and relevant predictive covariates, the final and missing data are further estimated using various statistical models for fatal and nonfatal burden estimates (eAppendix, eMethods, and eTable 1 in Supplement 1). Because the data sources and assessments of the whole time series are reevaluated and updated in pursuance of every annual release, the latest GBD results supersede the preceding estimates. In the most recent data release, the GBD 2021 study used over 607 billion data points to illustrate the annual burden of 371 diseases and injuries as well as 88 risk factors from 204 countries and territories between 1990 and 2021. The exact data sources are publicly available through the website of the Institute for Health Metrics and Evaluation.10 Because GBD studies rely on the analysis of aggregated secondary data without the direct involvement of human subjects, individual studies based on the publicly available database do not require separate approvals from institutional review boards or informed consent from individuals whose health conditions are studied. The reporting of this manuscript followed the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER) recommendations.11

SAH Definition and Data Sources

In line with the definition of the World Health Organization, the GBD 2021 study defines SAH as a nontraumatic stroke type caused by bleeding into the subarachnoid space of the brain. This definition includes first-ever SAHs with aneurysmal and nonaneurysmal origins but excludes recurrent SAHs and secondary SAHs caused by intracranial traumas. Correspondingly, the study uses primarily code 430 from the International Classification of Diseases, Ninth Revision (ICD-9) and code I60 from the Tenth Revision (ICD-10) to identify relevant data sources and outcomes. According to the 4-level categorization of the GBD studies, SAH belongs to the most specific level 4 category being also part of the categories of noncommunicable diseases (level 1), cardiovascular diseases (level 2), and strokes (level 3). Overall, the GBD 2021 study comprises 2563 data sources for fatal SAHs, 311 data sources for nonfatal SAHs, and 36 data sources for SAH risk factors from 132 different countries/regions between 1963 and 2022 (eAppendix, eMethods, and eFigures 1-4 in Supplement 1).

Risk Factor Estimation

Similar to causes, the GBD classifies risk factors into 4 different levels from the broadest level 1 to the most detailed level 4. For SAH, the GBD 2021 study has available data for all 3 risk clusters of level 1 and 14 individual risk factors from levels 2 to 4 (eAppendix, eMethods, and eTable 2 in Supplement 1). To evaluate the association of 3 risk clusters and 14 available risk factors with SAH-specific burden, the GBD 2021 study uses a comparative assessment framework to calculate population attributable fractions (PAFs) defined as a theoretical proportion of burden that could be prevented by changing the exposure of the risk to the theoretical minimum risk exposure level in the population (eAppendix and eMethods in Supplement 1).12

Statistical Analysis

Based on the available data input sources and assumptions of geospatial relationships between relevant covariates such as smoking prevalence, systolic blood pressure, and lag distributed income per capita, the GBD uses primarily 2 statistical modeling tools, namely, cause of death ensemble modeling (fatal estimates) and disease-model bayesian meta-regression 2.1 (nonfatal estimates), to produce annual burden estimates of SAH across different population groups and geographical locations between 1990 and 2021 (Appendix, eMethods, and eTable 1 in Supplement 1).8,9 Consistent with previous GBD stroke reports,2,13,14 we used the absolute numbers and age-standardized (adjusted to the age structure of the GBD standard population) rates per 100 000 people of 4 outcomes to illustrate the burden of SAH as follows: (1) incidence, (2) prevalence, (3) deaths, and (4) DALYs (eAppendix, eMethods, and eTable 3 in Supplement 1). According to the cause-specific number of deaths and DALYs, we also compared the absolute burden of SAH within 3 stroke types, 11 neurological disorders including strokes, 18 cardiovascular diseases, 192 noncommunicable diseases, and 300 individual diseases/injuries on the same hierarchy level with associated deaths or DALYs (eAppendix, eMethods, and eTable 3 in Supplement 1). To present the attributions of risk factors to SAH-related DALY estimates, we presented the age-standardized PAFs in percentages and DALY rates per 100 000 people attributed to each included risk factor or cluster. Besides average global estimates in 2021, we presented all burden estimates with 95% uncertainty intervals (UIs) and stratified by sex, 4 age groups, 5 Sociodemographic Index (SDI) levels, 7 GBD super regions, 21 GBD regions, and 204 individual countries and territories (eAppendix, eMethods, and eTable 3 in Supplement 1). Lastly, we evaluated the temporal trends by comparing the burden and risk factor estimates between 1990 and 2021. All analyses of the current study are based on the publicly available GBD results15 and visualization tools.16 Data were analyzed from 1990 to 2021.

Results

Global Burden of SAH in 2021

Based on the overall global estimates, we observed 0.7 (95% UI, 0.6-0.8) million new SAH cases, 7.9 (95% UI, 7.2-8.6) million patients with prevalent SAH, 0.4 (95% UI, 0.3-0.4) million SAH deaths, and 10.6 (95% UI, 9.4-12.1) million SAH-related DALYs in 2021 (Table 1). These resulted in the age-standardized SAH incidence of 8.3 (95% UI, 7.3-9.5), prevalence of 92.2 (95% UI, 84.1-100.6), mortality of 4.2 (95% UI, 3.7-4.8), and DALY rate of 125.2 (95% UI, 110.5-142.6) per 100 000 people. Although the prevalence of SAH was higher in female individuals than in male individuals, the point estimates of other age-standardized burden figures were higher in male patients (Table 1). The rates of all burden estimates of both sexes increased along with increasing age (Table 1 and eFigure 5 in Supplement 1).

Table 1. Global Number and Age-Standardized Rates With 95% Uncertainty Intervals (UIs) of Subarachnoid Hemorrhage Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Years (DALYs) in 2021a.

Group Incidence Prevalence Mortality DALY
Overall
Absolute No. in millions (95% UI) 0.70 (0.61-0.80) 7.85 (7.16-8.58) 0.35 (0.31-0.40) 10.64 (9.40-12.12)
Age-standardized rate per 100 000 people (95% UI) 8.33 (7.34-9.48) 92.17 (84.08-100.60) 4.18 (3.66-4.76) 125.20 (110.54-142.61)
Female
Absolute No. in millions (95% UI) 0.36 (0.32-0.41) 4.31 (3.95-4.69) 0.18 (0.16-0.21) 5.16 (4.62-5.89)
Age-standardized rate per 100 000 people (95% UI) 8.17 (7.21-9.35) 97.88 (89.66-106.58) 3.91 (3.41-4.55) 116.35 (104.22-133.10)
Male
Absolute No. in millions (95% UI) 0.34 (0.30-0.39) 3.54 (3.22-3.89) 0.17 (0.14-0.22) 5.48 (4.50-6.90)
Age-standardized rate per 100 000 people (95% UI) 8.51 (7.48-9.65) 85.52 (77.67-93.74) 4.48 (3.64-5.56) 134.07 (109.87-167.87)
Children (0-14 y)
Absolute No. in millions (95% UI) 0.034 (0.023-0.046) 0.21 (0.17-0.25) 0.0033 (0.0026-0.0041) 0.31 (0.25-0.37)
Rate per 100 000 people (95% UI) 1.67 (1.16-2.29) 10.27 (8.49-12.50) 0.16 (0.13-0.20) 15.29 (12.34-18.51)
Young adults (15-49 y)
Absolute No. in millions (95% UI) 0.24 (0.19-0.30) 2.71 (2.43-3.04) 0.055 (0.047-0.067) 3.19 (2.74-3.82)
Rate per 100 000 people (95% UI) 6.13 (4.83-7.50) 68.63 (61.46-76.87) 1.39 (1.19-1.69) 80.75 (69.42-96.78)
Old adults (50-74 y)
Absolute No. in millions (95% UI) 0.29 (0.24-0.37) 3.97 (3.55-4.42) 0.17 (0.15-0.20) 5.49 (4.85-6.26)
Rate per 100 000 people (95% UI) 17.90 (14.67-22.24) 241.76 (216.37-268.90) 10.57 (9.25-12.15) 334.32 (295.19-381.09)
Very old adults (≥75 y)
Absolute No. in millions (95% UI) 0.13 (0.10-0.16) 0.97 (0.83-1.11) 0.12 (0.10-0.14) 1.66 (1.43-1.86)
Rate per 100 000 people (95% UI) 44.35 (35.94-54.15) 334.57 (286.56-386.05) 41.93 (35.80-47.51) 573.62 (494.79-643.62)
a

The results are presented overall and separately for female and male individuals and 4 age groups.

Regional and National Burden of SAH in 2021

All age-standardized burden estimates of SAH varied substantially between 204 countries and territories worldwide (Figure 1 and eTables 4-11 in Supplement 1). By SDI level, we found the highest age-standardized prevalence as well as the lowest mortality and DALY rates of SAH in high-SDI regions (eTable 5 in Supplement 1). On the other hand, the highest age-standardized incidence, mortality, and DALY rates occurred in low-middle– and middle-SDI regions (eTable 5 in Supplement 1). According to the 7 GBD super regions, we found the lowest age-standardized mortality and DALY rates in North Africa and the Middle East, Sub-Saharan Africa, and high-income super regions, whereas the lowest incidence rates were observed in North Africa, the Middle East, and Sub-Saharan Africa. Latin America and the Caribbean had, in turn, the highest age-standardized rates of all 4 burden estimates (eTable 5 in Supplement 1). These geographical differences also varied slightly between male and female individuals (eTables 6 and 7 in Supplement 1) as well as between different age groups (eTables 8-11 in Supplement 1). In high-SDI regions, we observed that female individuals had higher incidence, prevalence, mortality, and DALY rates compared with males, but these differences were not observed in other SDI regions.

Figure 1. Worldwide Burden of Subarachnoid Hemorrhage in 2021.

Figure 1.

Age-standardized incidence (A), prevalence (B), mortality (C), and disability-adjusted life-years (DALYs) (D) rates of subarachnoid hemorrhage per 100 000 people in 204 countries and territories in 2021. The circles above the scales represent the estimates from individual countries. Figure created with The Institute for Health Metrics and Evaluation, Global Burden of Diseases Study 2021.16

Temporal Changes in SAH Burden

Between 1990 and 2021, the absolute number of annual new SAH incidents increased from 0.5 to 0.7 million (37.1%; 95% UI 32.2%-42.4%) and prevalent cases from 4.9 to 7.9 million (60.2%; 95% UI, 56.9%-63.4%). Moreover, the absolute number of global deaths and DALYs due to SAH had an increasing trend since 2005 (Figure 2A). However, according to the age-standardized rates per 100 000 people, all burden estimates of SAH decreased worldwide between 1990 and 2021, with incidence from 11.7 to 8.3 (28.8%; 95% UI, 25.7%-31.6%), prevalence from 109.9 to 92.2 (16.1%; 95% UI, 14.8%-17.7%), mortality from 9.5 to 4.2 (56.1%; 95% UI, 40.7%-64.3%), and DALY rate from 275.9 to 125.2 (54.6%; 95% UI, 42.8%-61.9%) (Figure 2B and eTable 12 in Supplement 1). Although the absolute number of new SAH incidents and prevalence increased among all SDI levels, the increases were more evident in low- and low-middle–SDI regions where the absolute number of deaths and DALYs also increased over the whole study period (eFigure 10 and eTables 13 and 14 in Supplement 1). Moreover, we found decreasing age-standardized burden estimates in all SDI categories, but the decreases were the most evident in middle- and high-middle–SDI regions (eFigure 10 and eTables 15 and 16 in Supplement 1).

Figure 2. Changes in the Incidence, Prevalence, Deaths, and Disability-Adjusted Life-Years (DALYs) of Subarachnoid Hemorrhage in the World Between 1990 (Deaths Since 1980) and 2021.

Figure 2.

Results are presented as absolute number (A) and age-standardized rates (B) per 100 000 people as well as stratified by sex. Solid lines represent the changes in point estimates, and shaded areas represent 95% uncertainty intervals. Figures created with The Institute for Health Metrics and Evaluation, Global Burden of Diseases Study 2021.15

SAH Burden Compared With Other Causes

Of 300 level 4 diseases/injuries modeled by the GBD 2021 study, SAH ranked as the 36th most common cause of death (0.5%; 95% UI, 0.5%-0.6% of all deaths) and 59th most common cause of DALY (0.4%; 95% UI, 0.3%-0.4% of all DALYs) in the world (Figure 3). The corresponding rankings were 23rd and 39th among 192 noncommunicable diseases, 6th and 6th among 18 cardiovascular diseases, and 5th and 6th among 11 neurological disorders including strokes (eTable 17 in Supplement 1). We observed the highest rankings and proportional burdens of SAH in many middle-SDI regions such as Latin America and East Asia but also in the high-income Asian Pacific. The lowest rankings and proportional burdens occurred in low-SDI regions, especially in Sub-Saharan Africa (eTables 18 in Supplement 1).

Figure 3. The Most Common Causes of Death and Disability-Adjusted Life-Years (DALYs) in the World in 2021.

Figure 3.

Rankings of the 75 most common causes of death and DALYs in the world in 2021 presented as percentages with 95% uncertainty intervals.

Risk Factors Attributed to SAH Burden

Of all worldwide SAH-related DALYs in 2021, 71.6% (95% UI, 63.8%-78.6%) attributed to the 14 modeled risk factors by the GBD study (Table 2). By the 3 level 1 risk clusters, metabolic risks accounted for the most risk-attributed DALYs of SAH, followed by the environmental/occupational risks and behavioral risks (Table 2 and eFigure 6 in Supplement 1). The top 3 individual risk factors were high SBP (PAF = 51.6%; 95% UI, 38.0%-62.6%), smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%), and ambient particulate matter pollution (PAF = 14.2%; 95% UI, 9.8%-18.0%). The rankings varied slightly between male and female individuals (eFigure 7 in Supplement 1). By SDI levels, the attribution of all risk factors combined to SAH-related DALYs was highest in the low-SDI level (PAF = 77.3%; 95% UI, 70.2%-82.7%) and the lowest in the high-SDI level (PAF = 64.3%; 95% UI, 52.3%-74.0%). This was mainly attributed to the increased proportion of environmental/occupational risks and especially the increase in the association of household air pollution, which was attributed to 35.8% (95% UI, 28.5%-42.9%) of the SAH-related DALYs in the low-SDI level and less than 0.1% (95% UI, 0-0.3%) of the SAH-related DALYs in the high-SDI level (eFigures 6-8 in Supplement 1). Between 1990 and 2021, the age-standardized DALY rate of SAH that attributed to all risk factors combined decreased by 56.6% (95% UI, 44.7%-63.7%), and this decrease was more evident in environmental/occupational and behavioral risks than in metabolic risks (Table 2).

Table 2. Age-Standardized Proportions, Absolute Numbers, and Age-Standardized Rates of Subarachnoid Hemorrhage (SAH)–Related Disability-Adjusted Life-Years (DALYs) Attributed to Risk Factors in 2021 and Their Changes Between 1990-2021.

Risk factors Age-standardized proportion of SAH-related DALYs attributed to risk factors Absolute number of SAH-related DALYs attributed to risk factors Age-standardized SAH-related DALY rate per 100 000 people attributed to risk factors
In 2021, PAF (95% UI) Change between 1990 and 2021, % (95% UI) In 2021, No. in millions (95% UI) Change between 1990 and 2021, % (95% UI) In 2021, rate per 100 000 (95% UI) Change between 1990 and 2021, % (95% UI)
All risk factors 71.54 (63.17 to 76.16) −4.31 (−9.28 to −0.69) 7.72 (6.52 to 9.11) −10.97 (−25.53 to 12.05) 89.60 (75.68 to 105.80) −56.59 (−63.73 to −44.65)
Behavioral risks 28.69 (19.40 to 38.78) −21.44 (−32.59 to −12.40) 3.11 (2.08 to 4.32) −28.15 (−43.50 to −5.46) 35.96 (23.98 to 49.92) −64.42 (−71.68 to −52.92)
Diet high in red meat −7.03 (−29.02 to 9.97) 11.16 (−7.28 to 65.75) −0.75 (−3.10 to 1.06) −3.20 (−22.94 to 41.12) −8.77 (−36.12 to 12.25) −49.39 (−60.41 to −25.46)
Diet high in sodium 8.93 (2.00 to 19.81) −26.72 (−55.54 to −10.93) 0.98 (0.22 to 2.24) −30.57 (−60.70 to 3.40) 11.19 (2.54 to 25.86) −66.82 (−81.00 to −51.07)
Diet low in fiber 4.01 (−1.20 to 8.35) −17.91 (−23.83 to −10.94) 0.43 (−0.13 to 0.91) −29.03 (−39.30 to −13.66) 5.03 (−1.50 to 10.68) −62.79 (−68.34 to −54.13)
Diet low in fruits 9.01 (−0.67 to 16.39) −6.80 (−10.25 to −2.27) 0.97 (−0.07 to 1.82) −17.90 (−28.77 to −0.63) 11.29 (−0.80 to 21.15) −57.75 (−63.42 to −48.31)
Diet low in vegetables 1.44 (−0.16 to 2.99) −12.35 (−27.08 to 0.82) 0.16 (−0.02 to 0.33) −24.39 (−36.82 to −10.52) 1.82 (−0.19 to 3.81) −60.01 (−66.55 to −52.45)
Secondhand smoke 4.66 (3.20 to 6.15) −21.57 (−29.18 to −14.28) 0.51 (0.34 to 0.67) −29.33 (−40.62 to −10.15) 5.84 (3.91 to 7.85) −64.39 (−70.47 to −54.14)
Smoking 14.43 (12.36 to 16.45) −24.05 (−33.60 to −6.70) 1.57 (1.28 to 1.90) −31.23 (−44.19 to −4.46) 18.07 (14.72 to 21.86) −65.67 (−72.32 to −51.79)
Environmental/ occupational risks 32.73 (25.80 to 39.46) −24.89 (−31.47 to −17.71) 3.53 (2.64 to 4.59) −30.29 (−43.65 to −5.99) 41.05 (30.76 to 53.24) −65.95 (−72.61 to −53.59)
Ambient particulate matter pollution 14.20 (9.82 to 17.97) 44.32 (9.41 to 92.37) 1.53 (1.03 to 1.97) 34.74 (−1.61 to 87.79) 17.77 (11.98 to 22.81) −34.50 (−52.60 to −8.18)
High temperature 1.13 (0.21 to 2.46) 79.32 (−116.49 to 446.78) 0.12 (0.02 to 0.27) 52.84 (−49.56 to 310.51) 1.43 (0.27 to 3.14) −18.67 (−107.51 to 159.93)
Household air pollution from solid fuels 10.29 (5.50 to 17.36) −59.68 (−75.02 to −40.14) 1.12 (0.58 to 1.96) −62.11 (−77.49 to −40.99) 12.96 (6.67 to 22.68) −81.68 (−89.17 to −71.32)
Lead exposure 6.18 (−0.81 to 13.75) −14.54 (−19.14 to −7.03) 0.67 (−0.09 to 1.49) −20.21 (−34.56 to 6.26) 7.76 (−1.03 to 17.25) −61.32 (−68.44 to −48.24)
Low temperature 4.48 (3.76 to 5.27) −27.51 (−32.60 to −22.58) 0.48 (0.39 to 0.58) −34.82 (−46.98 to −13.73) 5.60 (4.62 to 6.77) −67.19 (−73.42 to −56.35)
Metabolic risks 52.54 (38.93 to 63.50) 12.43 (5.88 to 20.57) 5.68 (4.15 to 7.12) 6.67 (−11.02 to 32.31) 65.78 (48.06 to 82.57) −48.93 (−57.56 to −36.01)
High body mass index 4.92 (0.00 to 10.99) 233.52 (−671.23 to 1668.40) 0.53 (0.00 to 1.19) 199.02 (−624.52 to 1533.99) 6.14 (0.00 to 13.85) 53.22 (−346.64 to 686.75)
High systolic blood pressure 51.57 (37.95 to 62.61) 10.96 (4.62 to 18.43) 5.58 (4.05 to 7.06) 5.35 (−12.47 to 30.77) 64.58 (46.84 to 81.79) −49.59 (−58.30 to −37.25)

Abbreviations: PAF, population attributable fraction; UI, uncertainty interval.

Discussion

According to the GBD 2021 study estimates, in 2021, there were 700 000 new SAH cases, almost 8 million patients with prevalent SAH, 350 000 SAH deaths, and over 10 million SAH-related DALYs globally. This ranked SAH as the 36th most common cause of death and 59th most common cause of death and disability in the world among 300 critical health outcomes. Although the global age-standardized mortality and DALY rates of SAH more than halved during the last 3 decades, the absolute number of patients with prevalent SAH increased by over 60% during the same period. This increase reached 105% in low-SDI levels where the absolute number of SAH-related deaths and disabilities also increased by more than 50%. Although these increases may be partially explained by improved diagnostic and documentation of SAH cases, some of these increases can be attributed to increased aging and population growth offering opportunities to reduce globally increasing SAH-related health consequences through improved prevention strategies. Without such urgent, international, and interdisciplinary actions, we can expect the absolute burden of SAH to continue to increase, particularly in low-SDI regions.

Observations about decreasing incidence and mortality rates of SAH are consistent with previous systematic reviews and pooled analyses of individual population-based cohort studies around the world.4,5,6 Such favorable trends have mainly been related to the decreasing prevalence of smoking,5,17 improved management of hypertension,5 improved management of SAH (eg, shortened treatment delays, increasing access to neurointensive care units, and evolvements of endovascular aneurysm treatments),18 as well as improvements in the pre-SAH interventions of persons with unruptured intracranial aneurysms (UIAs).5,19 Notably, most of these findings originate from high-SDI regions, whereas low- and middle-SDI areas continue to face significant challenges in accessing and delivering quality health care services for patients with SAH. For example, approximately 90% of the countries in GBD regions such as Sub-Saharan Africa, East Asia, and Oceania have been reported to lack urgent access to advanced microneurosurgery.20 In comparison with population-adjusted figures, previous literature on trends of absolute SAH cases, deaths, and disabilities is limited yet such estimates act as a cornerstone of worldwide public health planning and resource allocation. According to a recent policy view by the World Stroke Organization,21 the absolute burden of SAH was predicted to increase by over 40% by 2050, which was more than the corresponding estimates of other stroke types. However, although the policy view21 introduced extensive pragmatic solutions to reduce the global burden of stroke overall by improving its surveillance, prevention, acute care, and rehabilitation, the recommendations did not consider any SAH-specific characteristics. For instance, lower median age, female predisposition, distinct etiologies, high sudden-death rates, and unique neurosurgical treatment modalities of SAH as well as prevention possibilities of persons with UIAs were not assessed. Similarly, other key prevention guidelines on stroke, cardiovascular diseases, and neurological disorders have clustered all stroke types disregarding the distinct features of SAH,22,23,24,25 whereas the SAH-specific guidelines have focused on in-hospital diagnostics and management rather than prevention strategies of SAH.3,26,27 Given the distinct characteristics of SAH, its substantial proportion of global health burden, and large attribution to modifiable risk factors, guidelines on SAH-specific primary, secondary, and tertiary prevention that also consider the patients and high-risk individuals outside of the neurosurgical tertiary care are warranted in the future.

Besides surpassing the burden of most cardiovascular diseases (eg, atrial fibrillation/flutter, aortic aneurysms, heart valve diseases, peripheral arterial diseases, endocarditis, and myocarditis) and neurological disorders (eg, Parkinson disease, tension-type headache, motor neuron diseases, and multiple sclerosis), the global number of SAH deaths and disabilities also exceeded various other life-threatening infections (eg, encephalitis, hepatitis, and deaths due to meningitis), cancers (eg, brain, prostate and cervical cancers, leukemias and lymphomas), and injuries (eg, physical violence by firearms and sharp objects, sexual violence and nature disasters). Given that most of these causes in GBD studies are combinations of various 3-character ICD health conditions, our findings suggest that SAH is not only a common but also one of the most common cardiovascular and neurological causes of death and disabilities. Similarly high proportional burdens have also been reported in previous studies,28,29 which is understandable given the relatively low median age of SAH combined with high sudden-death, short-term case-fatality, and morbidity rates. For example, according to a previous nationwide study from Finland,28 aneurysmal SAH represented the 18th most common cause of death in middle-aged people (40-64 years old). By similar age stratification in the GBD 2021 study, consistent findings occurred not only in Finland but also in other Nordic and Western European countries with universal health care, and registration structures emphasizing the substantial role of SAH among the most common causes of premature mortality in working-age individuals (eFigure 9 in Supplement 1).

In line with various population-based cohort studies reporting not only associative30,31,32,33 but also causal relationships,34,35,36,37 high SBP and smoking were the 2 leading risk factors with the largest attribution to the burden of SAH. Because our findings suggest that eliminating these 2 risk factors would more than halve the burden of SAH, their prioritization is justified when placing prevention strategies for SAH. For example, advertisement bans, age restrictions, increased taxation, health education, cessation support, and prohibition of smoking in public places, and work environments including the hospitality industry represent evidence-based strategies that reduce smoking initiation and prevalence in populations.38 Similarly, improvements in diagnostics, medications, and lifestyle interventions on weight, salt intake and diet, especially among people with a high risk of hypertension, are known to decrease the disease burden of high blood pressure.39 In addition, the GBD 2021 estimates suggest that ambient and household air pollution have a comparable attribution to SAH burden with smoking which further highlights the importance of system-level disease prevention through policy changes rather than placing all burden on the individuals. Having said that, previous studies on the associations of air pollution and stroke risk have often clustered SAH with other stroke types and do not consider the potential confounding/mediating effects of other concurrent SAH risk factors.37,40,41,42,43,44 Similar limitations occur in the evidence of many dietary factors,45 including moderate to high consumption of alcohol.31,32,37,46 Regarding high BMI, previous evidence suggests that after considering the indirect effects via smoking and hypertension, the independent role of BMI on SAH risk is negligible47 but it may be associated with poor SAH outcomes.48 As additional potential risk factors that were assessed for stroke in general but not for SAH in the GBD 2021 study, low physical activity34,37,49,50,51 and adverse lipid profile52,53 have also been associated with a higher risk of SAH whereas the independent effect of high blood glucose and diabetes on SAH risk is more controversial.32,34,54,55

Limitations

Even though the present study constitutes, to our knowledge, the most comprehensive analysis of the global, regional, and national burden estimates of SAH and their time trends, attributions to modifiable risk factors, and comparisons to other critical health outcomes, it also has limitations. First, due to the limited amount of SAH-specific data sources from various individual countries and population groups, many reported burden and risk factor estimates rely more on predictive covariates and assumptions of geographical similarities than actual high-quality observations. Given that the incidence and mortality estimates of SAH vary substantially both between4,5,6 and within countries,56,57,58 findings from population groups with limited or no actual data sources (eg, many individual countries) should be interpreted with caution and against other available evidence due to the increased risk of systematic selection, measurement, and detection biases. For example, of all 2910 SAH-specific data sources in the GBD 2021 study, only 22 originated from Sub-Saharan Africa including door-to-door prevalence surveys from Benin,59 Ghana,60 and Nigeria,61 admission data from a rural Nigerian hospital,62 and administrative cause-of-death registrations from Cape Verde, Ghana, South Africa, and Zimbabwe. Based on such scattered and sporadic data collections that invariably miss, eg, sudden-death SAHs without routinely conducted postmortem examinations, it seems probable that the GBD 2021 study underestimates the burden of SAH in many low-SDI regions from Sub-Saharan Africa. This lack of high-quality input data may also explain why female predisposition was not observed outside of high-SDI regions despite the consistent evidence from previous population-based studies.5,32,63,64 Nevertheless, our findings about the exceptionally low burden of SAH in many low-SDI regions rather emphasize the importance of high-quality disease surveillance than support a favorable situation in these regions. Second, even though the GBD 2021 study uses numerous data sources across the world, the data from several relevant publications especially focusing on SAH risk factors have not been incorporated as part of its prediction models. In fact, all SAH-specific risk factor data sources of the GBD 2021 study focus on dietary risks or lead exposure, whereas the relative risk estimates of other exposures are based on the stroke literature in general. Therefore, the reliability of covariate-driven risk factor estimations of the GBD study could likely be improved by performing an updated systematic review gathering the most recent and relevant published risk factor data for SAH.37 This would also enable the assessment of independent pathways and interactions of relevant SAH risk factors more comprehensively. Third, because the GBD 2021 study did not record the different etiologies of nontraumatic SAHs and most data sources were based on registration codes without external case validation, our findings should be applied cautiously to aneurysmal SAHs. Fourth, because the current GBD dataset did not include information about the regional and temporal changes in SAH diagnostics and treatment, future studies are still needed to determine the exact reasons for our epidemiological observations and establish pragmatic solutions for decreasing the global burden of SAH. For example, high-quality comparisons focusing on worldwide and temporal differences in prehospital, in-hospital, and posthospital care of SAH would be of great importance. Lastly, the current GBD data release included a limited number of data sources for the most recent years, particularly after the COVID-19 pandemic. Although no significant changes in the SAH burden were observed during the peak pandemic years of 2020 and 2021, future data releases may offer more comprehensive insights into the potential effects of COVID-19 and related shifts in health care systems on the global burden of SAH.

Conclusions

Despite decreasing age-standardized burden rates, SAH remains one of the most common cardiovascular and neurological causes of death and disability globally with constantly increasing absolute case numbers. Moreover, over 70% of the SAH-related burden appears to be attributed to modifiable risk factors, most importantly to high systolic blood pressure and smoking. Given the substantial and potentially preventable impact of SAH on global health, consideration of its distinct features from other stroke types in evidence-based public health planning, resource allocation, and prevention strategies is warranted. Besides efforts to decrease global hypertension and smoking rates, enhancing in-hospital patient care, the availability of diagnostic tools, neurosurgical tertiary care, and identification of UIAs among patients with a high SAH risk could serve as justified targets for future improvements, especially in low and middle SDI regions. At the same time, many countries, especially from Sub-Saharan Africa, do not have any SAH-specific data sources; this emphasizes the importance of international and interdisciplinary collaboration to produce more reliable burden estimates of SAH from these regions.

Supplement 1.

eAppendix. Contributions of Authors

eMethods.

eReferences.

eFigure 1. The Numbers and Distributions of Data Sources for Subarachnoid Hemorrhage Included in the Global Burden of Diseases 2021 Study by Year, Type, and Region

eFigure 2. The Numbers and Distributions of Data Sources for Fatal Subarachnoid Hemorrhage Included in the Global Burden of Diseases 2021 Study by Year and Region

eFigure 3. The Numbers and Distributions of Data Sources for Nonfatal Subarachnoid Hemorrhage Included in the Global Burden of Diseases 2021 Study by Year, Type, and Region

eFigure 4. The Numbers and Distributions of Data Sources for Subarachnoid Hemorrhage Risk Factors Included in the Global Burden of Diseases 2021 Study by Year, Region, and Risk Factor

eFigure 5. Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Years Rates of Subarachnoid Hemorrhage per 100,000 People by Age and Separately for Men and Women

eFigure 6. Rankings of Risk Factors by Their Age-Standardized Population-Attributable Fractions on Subarachnoid Hemorrhage-Related Disability-Adjusted Life-Years in the World, 5 Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eFigure 7. Rankings of Risk Factors by Their Age-Standardized Population-Attributable Fractions on SAH-Related Disability-Adjusted Life-Years in the World, by 5 Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions, Separately for Men and Women

eFigure 8. Age-Standardized Population-Attributable Fractions of Environmental/Occupational Risks, Behavioral Risks, and Metabolic Risks on Disability-Adjusted Life-Years Related to Subarachnoid Hemorrhage in 204 Countries and Territories of the World in 2021

eFigure 9. Rankings of Causes of Death in the Age Group of 20-54 Years Across 24 Western European Countries in 2021

eFigure 10. Changes in the Incidence, Prevalence, Deaths, and Disability-Adjusted Life-Years of Subarachnoid Hemorrhage in the World Between 1990 (Deaths Since 1980) and 2021

eTable 1. Selected Covariates for SAH-Specific Modeling in the GBD 2021 Study

eTable 2. Fourteen Individual Risk Factors for Subarachnoid Hemorrhage in the Global Burden of Disease 2021 Study

eTable 3. Key Variables/Terms Used in the Current Manuscript Regarding the Global Burden of SAH

eTable 4. Age-Standardized Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Years Rates (With 95% Uncertainty Intervals) of Subarachnoid Hemorrhage per 100,000 People for 204 Countries and Territories in 2021

eTable 5. Age-Standardized Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Year Rates of Subarachnoid Hemorrhage per 100,000 People in 2021 by 5 Sociodemographic Index Levels, 7 Global Burden of Disease Super Regions, and 21 Global Burden of Disease Regions

eTable 6. Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Men by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 7. Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Women by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 8. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Children (0-14 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 9. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Young Adults (15-49 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 10. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Old Adults (50-74 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 11. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Very Old Adults (≥75 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 12. Percentage Changes (With 95% Uncertainty Intervals) of the Incidence, Prevalence, Mortality, and DALYs of Subarachnoid Hemorrhage in the World Between 1990 and 2021, Separately for Men, Women, and Different Age Groups

eTable 13. Percentage Changes (With 95% Uncertainty Intervals) in the Absolute Number of SAH Incidents, Prevalent Cases, Deaths, and DALYs Between 1990 and 2021 by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 14. Percentage Changes (With 95% Uncertainty Intervals) in the Absolute Number of SAH Incidents, Prevalent Cases, Deaths, and DALYs in 204 Countries and Territories of the World Between 1990 and 2021

eTable 15. Percentage Changes (With 95% Uncertainty Intervals) in the Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates of SAH per 100,000 People Between 1990 and 2021 by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 16. Percentage Changes (With 95% Uncertainty Intervals) in the Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates of SAH per 100,000 People in 204 Countries and Territories of the World Between 1990 and 2021

eTable 17. Rankings of Subarachnoid Hemorrhage by the Number of Global Deaths and Disability-Adjusted Life-Years in 1990 and 2021 Among All Diseases, Noncommunicable Diseases, Cardiovascular Diseases, Neurological Disorders, and Strokes

eTable 18. Regional Rankings and Proportions of Subarachnoid Hemorrhage-Related Deaths and Disability-Adjusted Life-Years in 2021 Among All 300 Diseases/Injuries by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

Supplement 2.

Data Sharing Statement.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

eAppendix. Contributions of Authors

eMethods.

eReferences.

eFigure 1. The Numbers and Distributions of Data Sources for Subarachnoid Hemorrhage Included in the Global Burden of Diseases 2021 Study by Year, Type, and Region

eFigure 2. The Numbers and Distributions of Data Sources for Fatal Subarachnoid Hemorrhage Included in the Global Burden of Diseases 2021 Study by Year and Region

eFigure 3. The Numbers and Distributions of Data Sources for Nonfatal Subarachnoid Hemorrhage Included in the Global Burden of Diseases 2021 Study by Year, Type, and Region

eFigure 4. The Numbers and Distributions of Data Sources for Subarachnoid Hemorrhage Risk Factors Included in the Global Burden of Diseases 2021 Study by Year, Region, and Risk Factor

eFigure 5. Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Years Rates of Subarachnoid Hemorrhage per 100,000 People by Age and Separately for Men and Women

eFigure 6. Rankings of Risk Factors by Their Age-Standardized Population-Attributable Fractions on Subarachnoid Hemorrhage-Related Disability-Adjusted Life-Years in the World, 5 Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eFigure 7. Rankings of Risk Factors by Their Age-Standardized Population-Attributable Fractions on SAH-Related Disability-Adjusted Life-Years in the World, by 5 Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions, Separately for Men and Women

eFigure 8. Age-Standardized Population-Attributable Fractions of Environmental/Occupational Risks, Behavioral Risks, and Metabolic Risks on Disability-Adjusted Life-Years Related to Subarachnoid Hemorrhage in 204 Countries and Territories of the World in 2021

eFigure 9. Rankings of Causes of Death in the Age Group of 20-54 Years Across 24 Western European Countries in 2021

eFigure 10. Changes in the Incidence, Prevalence, Deaths, and Disability-Adjusted Life-Years of Subarachnoid Hemorrhage in the World Between 1990 (Deaths Since 1980) and 2021

eTable 1. Selected Covariates for SAH-Specific Modeling in the GBD 2021 Study

eTable 2. Fourteen Individual Risk Factors for Subarachnoid Hemorrhage in the Global Burden of Disease 2021 Study

eTable 3. Key Variables/Terms Used in the Current Manuscript Regarding the Global Burden of SAH

eTable 4. Age-Standardized Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Years Rates (With 95% Uncertainty Intervals) of Subarachnoid Hemorrhage per 100,000 People for 204 Countries and Territories in 2021

eTable 5. Age-Standardized Incidence, Prevalence, Mortality, and Disability-Adjusted Life-Year Rates of Subarachnoid Hemorrhage per 100,000 People in 2021 by 5 Sociodemographic Index Levels, 7 Global Burden of Disease Super Regions, and 21 Global Burden of Disease Regions

eTable 6. Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Men by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 7. Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Women by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 8. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Children (0-14 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 9. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Young Adults (15-49 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 10. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Old Adults (50-74 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 11. Incidence, Prevalence, Mortality, and DALY Rates (With 95% Uncertainty Intervals) of SAH per 100,000 People in 2021 for Very Old Adults (≥75 Years of Age) by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 12. Percentage Changes (With 95% Uncertainty Intervals) of the Incidence, Prevalence, Mortality, and DALYs of Subarachnoid Hemorrhage in the World Between 1990 and 2021, Separately for Men, Women, and Different Age Groups

eTable 13. Percentage Changes (With 95% Uncertainty Intervals) in the Absolute Number of SAH Incidents, Prevalent Cases, Deaths, and DALYs Between 1990 and 2021 by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 14. Percentage Changes (With 95% Uncertainty Intervals) in the Absolute Number of SAH Incidents, Prevalent Cases, Deaths, and DALYs in 204 Countries and Territories of the World Between 1990 and 2021

eTable 15. Percentage Changes (With 95% Uncertainty Intervals) in the Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates of SAH per 100,000 People Between 1990 and 2021 by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

eTable 16. Percentage Changes (With 95% Uncertainty Intervals) in the Age-Standardized Incidence, Prevalence, Mortality, and DALY Rates of SAH per 100,000 People in 204 Countries and Territories of the World Between 1990 and 2021

eTable 17. Rankings of Subarachnoid Hemorrhage by the Number of Global Deaths and Disability-Adjusted Life-Years in 1990 and 2021 Among All Diseases, Noncommunicable Diseases, Cardiovascular Diseases, Neurological Disorders, and Strokes

eTable 18. Regional Rankings and Proportions of Subarachnoid Hemorrhage-Related Deaths and Disability-Adjusted Life-Years in 2021 Among All 300 Diseases/Injuries by 5 Country-Specific Sociodemographic Index Levels, 7 GBD Super Regions, and 21 GBD Regions

Supplement 2.

Data Sharing Statement.


Articles from JAMA Neurology are provided here courtesy of American Medical Association

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