Literature DB >> 30575491

Global, Regional, and Country-Specific Lifetime Risks of Stroke, 1990 and 2016.

Valery L Feigin, Grant Nguyen, Kelly Cercy, Catherine O Johnson, Tahiya Alam, Priyakumari G Parmar, Amanuel A Abajobir, Kalkidan H Abate, Foad Abd-Allah, Ayenew N Abejie, Gebre Y Abyu, Zanfina Ademi, Gina Agarwal, Muktar B Ahmed, Rufus O Akinyemi, Rajaa Al-Raddadi, Leopold N Aminde, Catherine Amlie-Lefond, Hossein Ansari, Hamid Asayesh, Solomon W Asgedom, Tesfay M Atey, Henok T Ayele, Maciej Banach, Amitava Banerjee, Aleksandra Barac, Suzanne L Barker-Collo, Till Bärnighausen, Lars Barregard, Sanjay Basu, Neeraj Bedi, Masoud Behzadifar, Yannick Béjot, Derrick A Bennett, Isabela M Bensenor, Derbew F Berhe, Dube J Boneya, Michael Brainin, Ismael R Campos-Nonato, Valeria Caso, Carlos A Castañeda-Orjuela, Jacquelin C Rivas, Ferrán Catalá-López, Hanne Christensen, Michael H Criqui, Albertino Damasceno, Lalit Dandona, Rakhi Dandona, Kairat Davletov, Barbora de Courten, Gabrielle deVeber, Klara Dokova, Dumessa Edessa, Matthias Endres, Emerito J A Faraon, Maryam S Farvid, Florian Fischer, Kyle Foreman, Mohammad H Forouzanfar, Seana L Gall, Tsegaye T Gebrehiwot, Johanna M Geleijnse, Richard F Gillum, Maurice Giroud, Alessandra C Goulart, Rahul Gupta, Rajeev Gupta, Vladimir Hachinski, Randah R Hamadeh, Graeme J Hankey, Habtamu A Hareri, Rasmus Havmoeller, Simon I Hay, Mohamed I Hegazy, Desalegn T Hibstu, Spencer L James, Panniyammakal Jeemon, Denny John, Jost B Jonas, Jacek Jóźwiak, Rizwan Kalani, Amit Kandel, Amir Kasaeian, Andre P Kengne, Yousef S Khader, Abdur R Khan, Young-Ho Khang, Jagdish Khubchandani, Daniel Kim, Yun J Kim, Mika Kivimaki, Yoshihiro Kokubo, Dhaval Kolte, Jacek A Kopec, Soewarta Kosen, Michael Kravchenko, Rita Krishnamurthi, G Anil Kumar, Alessandra Lafranconi, Pablo M Lavados, Yirga Legesse, Yongmei Li, Xiaofeng Liang, Warren D Lo, Stefan Lorkowski, Paulo A Lotufo, Clement T Loy, Mark T Mackay, Hassan Magdy Abd El Razek, Mahdi Mahdavi, Azeem Majeed, Reza Malekzadeh, Deborah C Malta, Abdullah A Mamun, Lorenzo G Mantovani, Sheila C O Martins, Kedar K Mate, Mohsen Mazidi, Suresh Mehata, Toni Meier, Yohannes A Melaku, Walter Mendoza, George A Mensah, Atte Meretoja, Haftay B Mezgebe, Tomasz Miazgowski, Ted R Miller, Norlinah M Ibrahim, Shafiu Mohammed, Ali H Mokdad, Mahmood Moosazadeh, Andrew E Moran, Kamarul I Musa, Ruxandra I Negoi, Minh Nguyen, Quyen L Nguyen, Trang H Nguyen, Tung T Tran, Thanh T Nguyen, Dina Nur Anggraini Ningrum, Bo Norrving, Jean J Noubiap, Martin J O’Donnell, Andrew T Olagunju, Oyere K Onuma, Mayowa O Owolabi, Mahboubeh Parsaeian, George C Patton, Michael Piradov, Martin A Pletcher, Farshad Pourmalek, V Prakash, Mostafa Qorbani, Mahfuzar Rahman, Muhammad A Rahman, Rajesh K Rai, Annemarei Ranta, David Rawaf, Salman Rawaf, Andre MN Renzaho, Stephen R Robinson, Ramesh Sahathevan, Amirhossein Sahebkar, Joshua A Salomon, Paola Santalucia, Itamar S Santos, Benn Sartorius, Aletta E Schutte, Sadaf G Sepanlou, Azadeh Shafieesabet, Masood A Shaikh, Morteza Shamsizadeh, Kevin N Sheth, Mekonnen Sisay, Min-Jeong Shin, Ivy Shiue, Diego A S Silva, Eugene Sobngwi, Michael Soljak, Reed J D Sorensen, Luciano A Sposato, Saverio Stranges, Rizwan A Suliankatchi, Rafael Tabarés-Seisdedos, David Tanne, Cuong Tat Nguyen, J S Thakur, Amanda G Thrift, David L Tirschwell, Roman Topor-Madry, Bach X Tran, Luong T Nguyen, Thomas Truelsen, Nikolaos Tsilimparis, Stefanos Tyrovolas, Kingsley N Ukwaja, Olalekan A Uthman, Yuri Varakin, Tommi Vasankari, Narayanaswamy Venketasubramanian, Vasiliy V Vlassov, Wenzhi Wang, Andrea Werdecker, Charles D A Wolfe, Gelin Xu, Yuichiro Yano, Naohiro Yonemoto, Chuanhua Yu, Zoubida Zaidi, Maysaa El Sayed Zaki, Maigeng Zhou, Boback Ziaeian, Ben Zipkin, Theo Vos, Mohsen Naghavi, Christopher J L Murray, Gregory A Roth.   

Abstract

BACKGROUND: The lifetime risk of stroke has been calculated in a limited number of selected populations. We sought to estimate the lifetime risk of stroke at the regional, country, and global level using data from a comprehensive study of the prevalence of major diseases.
METHODS: We used the Global Burden of Disease (GBD) Study 2016 estimates of stroke incidence and the competing risks of death from any cause other than stroke to calculate the cumulative lifetime risks of first stroke, ischemic stroke, or hemorrhagic stroke among adults 25 years of age or older. Estimates of the lifetime risks in the years 1990 and 2016 were compared. Countries were categorized into quintiles of the sociodemographic index (SDI) used in the GBD Study, and the risks were compared across quintiles. Comparisons were made with the use of point estimates and uncertainty intervals representing the 2.5th and 97.5th percentiles around the estimate.
RESULTS: The estimated global lifetime risk of stroke from the age of 25 years onward was 24.9% (95% uncertainty interval, 23.5 to 26.2); the risk among men was 24.7% (95% uncertainty interval, 23.3 to 26.0), and the risk among women was 25.1% (95% uncertainty interval, 23.7 to 26.5). The risk of ischemic stroke was 18.3%, and the risk of hemorrhagic stroke was 8.2%. In high-SDI, high-middle-SDI, and low-SDI countries, the estimated lifetime risk of stroke was 23.5%, 31.1% (highest risk), and 13.2% (lowest risk), respectively; the 95% uncertainty intervals did not overlap between these categories. The highest estimated lifetime risks of stroke according to GBD region were in East Asia (38.8%), Central Europe (31.7%), and Eastern Europe (31.6%), and the lowest risk was in eastern sub-Saharan Africa (11.8%). The mean global lifetime risk of stroke increased from 22.8% in 1990 to 24.9% in 2016, a relative increase of 8.9% (95% uncertainty interval, 6.2 to 11.5); the competing risk of death from any cause other than stroke was considered in this calculation.
CONCLUSIONS: In 2016, the global lifetime risk of stroke from the age of 25 years onward was approximately 25% among both men and women. There was geographic variation in the lifetime risk of stroke, with the highest risks in East Asia, Central Europe, and Eastern Europe. (Funded by the Bill and Melinda Gates Foundation.).

Entities:  

Mesh:

Year:  2018        PMID: 30575491      PMCID: PMC6247346          DOI: 10.1056/NEJMoa1804492

Source DB:  PubMed          Journal:  N Engl J Med        ISSN: 0028-4793            Impact factor:   91.245


Introduction

Stroke accounts for almost 5% of all disability-adjusted life years (DALYs)1 and 10% of all deaths worldwide,2 with the bulk of this burden (over 75% of deaths from stroke and 81% of DALYs) falling on low- and middle-income countries.3 The total global burden of stroke is increasing1-3 and prevention of stroke may require an improved understanding of risk among younger individuals. Stroke prevention strategies in low and middle income countries may differ from those adopted for high-income countries due to differences in access to health care, health technologies and relative rates of stroke risk factors.4 Estimates of lifetime risk, the cumulative probability of someone of a given age and sex developing a disease during their remaining lifespan after accounting for competing mortality, provide a measure of disease risk.5 Lifetime stroke risk estimates may be useful for long-term health system planning.6 In addition, estimates of the lifetime risk of stroke across the age spectrum on a national level may serve as a useful summary metric for gauging the impact of stroke prevention strategies. There are limited data on trends in the lifetime risk of stroke. Prior estimates of lifetime stroke risk have been reported in a limited number of selected populations6-12. Diverging trends in stroke incidence and mortality rates have been observed between developed (decreasing) and developing countries (increasing),13 against a background of increasing life expectancy for almost all countries.14 We used Global Burden of Disease (GBD) 2016 study estimates to provide global, regional, and country-specific lifetime risk of stroke in 1990 and 2016 by pathological subtype, age, sex and Socio-Demographic Index (SDI), accounting for competing risk of mortality due to all other non-stroke causes of death. The GBD is an ongoing global collaboration that uses all available epidemiological data to provide a comparative assessment of health loss across 328 causes for 195 countries and territories.

Methods

We used estimates from the GBD 2016 study1, 2, of first-ever-in-a-lifetime stroke, cause- specific mortality, and all-cause mortality at the global, regional (21 GBD regions nested within 7 GBD super-regions), and national (195 countries) levels by age and sex (see Supplement Table 1 and Supplement Table 2). Analysis was performed separately for ischemic stroke and hemorrhagic stroke (intracerebral hemorrhage and non-traumatic subarachnoid hemorrhage). The GBD 2016 study used all available representative population-based data on incidence, prevalence, case fatality and mortality to produce comparable estimates of disease burden for 195 countries, by sex and 5-year age categories. Mortality was estimated using the Cause of Death Ensemble Model, which produces cause- specific smoothed mortality cause fractions over time using vital registration and verbal autopsy data as well as country-specific covariates. Incidence was estimated using DisMod- MR, a Bayesian meta-regression disease modelling tool. Details of the methods used to estimate stroke incidence and mortality have been previously published and are summarized in the Supplement. Countries were categorized by quintiles of the GBD SDI for the year 2016.15 SDI is a composite indicator of development similar to the Human Development Index.16 SDI uses as input country-level income per capita, average educational attainment among individuals over age 15, and total fertility rate. We estimated lifetime risk at a given age as the cumulative risk of stroke occurrence during the remaining lifetime, assuming the rates of stroke incidence, prevalence, and stroke mortality in each following 5 year age category. In this way, risk at each age represents the risk of stroke from that age onwards, conditional on survival to that age without having died or having had a nonfatal stroke. Further details of this method are provided in the Supplement. To account for the competing risks of stroke and mortality within a specific age group, we calculated the probability of stroke-deleted mortality and experiencing a stroke, then scaled the separate event probabilities to match the combined probability of having either a stroke or dying in an age group. We calculated the lifetime risk only for people aged 25 years and older because stroke incidence rates in younger people are low and are less dependent on the modifiable risks and health systems that determine stroke burden in older populations. Uncertainty intervals were the 2.5th and 97.5th percentile of the distribution for each estimate. Significance was reported when uncertainty intervals did not overlap.

Results

Global, regional, and national lifetime risk of stroke in 2016

In 2016, the lifetime risk of stroke globally was 24.9% (95% UI: 23.5–26.2), with large regional and between-country differences (Table 1, Supplement Table S3). The highest risk was estimated in China (39.3% [37.5–41.1]) with similarly high levels in Latvia, Bosnia and Herzegovina, Romania, Montenegro, Russia, Macedonia, and Bulgaria. Among the 21 GBD regions, East Asia (38.8% [37.0–40.6]), Central and Eastern Europe (31.7% [95% UI: 30.0– 33.3] and 31.6% [95% UI: 27.6–35.6], respectively) had the highest risk, and Eastern Sub- Saharan Africa (11.8% [95% UI: 10.9–12.8]) had the lowest risk. The risk was greatest in high-middle (31.1% [29.0–33.0]) and middle SDI countries (29.3% [27.8-30.8]), and lowest in low SDI countries (13.2% [12.3–14.2]).
Table 1

Lifetime risk of stroke (LTR in %) (with 95%UI) globally and regionally (21GBDregions and 7 super regions) in 2016 and its percentage change (with 95% UI) from 1990 to 2016 by pathological type of stroke and sex

GBD super regionsGBD regionsMenWomenBoth sexes
LTR (95% UI)Percentage change(95%CI) 1990-2015LTR (95% UI)Percentage change(95%CI) 1990-2015LTR (95% UI)Percentage change(95%CI) 1990-2015
Global 24.7 (23.3,26.0)15.4 (12.5, 18.2)25.1 (23.7, 26.5)3.2 (0.2, 6.1)24.9 (23.5, 26.2)8.9 (6.2, 11.5)
High-incomeSouthern Latin America17.8 (16.3, 19.3)-14.2 (-20.4, -7.6)20.6 (18.9, 22.3)-14.5 (-20.7, -8.4)19.2 (17.8, 20.5)-14.1 (-19.0, -8.7)
Western Europe22.2 (20.9, 23.4)4.2 (0.3, 8.2)23.3 (21.9, 24.6)-4.3 (-7.9, -0.4)22.7 (21.4, 23.9)-0.4 (-3.6, 3.1)
High-income North America22.4 (21.1, 23.7)4.9 (1.7, 8.7)25.1 (23.6, 26.4)0.5 (-2.8, 3.8)23.8 (22.4, 25.0)2.7 (-0.3, 5.9)
Australasia20.9 (19.4, 22.4)8.1 (1.1, 14.8)23.0 (21.5, 24.7)1.4 (-4.6, 7.9)21.9 (20.6, 23.4)4.7 (-0.5, 10.1)
High-income Asia Pacific22.2 (20.6, 23.8)-11.4 (-16.3, -6.6)23.5 (21.8, 25.2)-15.1 (-19.7, -10.6)22.8 (21.2, 24.3)-13.5 (-17.4, -9.4)
Latin America and CaribbeanCaribbean18.0 (16.6,19.3)1.3 (-4.5, 6.8)20.8 (19.3, 22.3)-0.3 (-6.1, 5.9)19.4 (18.0,20.7)0.5 (-4.1, 5.4)
Central Latin America14.1 (13.1, 15.1)0.0 (-4.3, 4.3)16.4 (15.2, 17.6)-2.4 (-6.4, 1.7)15.2 (14.2, 16.4)-1.3 (-4.8, 2.6)
Tropical Latin America18.9 (17.6, 20.2)-10.4 (-13.9, -6.6)19.5 (18.1, 20.9)-15.1 (-18.8, -11.0)19.1 (17.9,20.5)-12.8 (-16.0, -9.2)
Andean Latin America15.5 (14.0, 17.0)-0.9 (-9.0, 8.1)17.9 (16.2, 19.6)-0.1 (-7.8, 8.1)16.7 (15.2,18.2)-0.3 (-6.7, 6.5)
Sub-Saharan AfricaCentral Sub-Saharan Africa11.6 (10.6, 12.7)12.4 (3.8, 20.8)13.8 (12.6, 15.1)1.4 (-6.9, 9.4)12.8 (11.7, 13.8)6.1 (-0.9, 12.9)
Eastern Sub-Saharan Africa11.2 (10.3, 12.3)13.8 (5.4, 22.5)12.5 (11.4, 13.6)6.7 (-0.1, 13.9)11.8 (10.9, 12.8)9.8 (3.8, 16.1)
Southern Sub-Saharan Africa10.0 (9.2, 10.9)-18.1 (-23.8, -12.3)14.9 (13.7, 16.1)-14.0 (-18.9, -9.0)12.5 (11.6, 13.5)-15.4 (-19.9, -11.1)
Western Sub-Saharan Africa13.0 (11.9, 14.2)10.5 (2.3, 19.1)15.8 (14.5, 17.3)7.0 (-0.6, 15.8)14.4 (13.3, 15.7)7.9 (2.0, 14.4)
North Africa andMiddle EastNorth Africa and Middle East19.4 (17.8, 20.9)10.2 (4.7, 15.7)23.1 (21.4, 24.8)3.7 (-0.8, 8.0)21.2 (19.6, 22.8)6.4 (2.5, 10.5)
South AsiaSouth Asia13.5 (12.5, 14.5)15.6 (11.0, 20.0)15.9 (14.7, 17.1)19.6 (14.5, 24.6)14.6 (13.6, 15.7)17.6 (13.6, 21.3)
Southeast Asia, East Asia, and OceaniaEast Asia40.6 (38.7, 42.3)35.9 (31.9, 39.8)36.3 (34.5, 38.1)20.7 (16.6, 24.4)38.8 (37.0, 40.6)29.7 (26.1, 33.0)
SoutheastAsia19.6 (18.3, 20.9)6.9 (2.7, 11.5)20.0 (18.8, 21.4)14.2 (9.7, 18.9)19.8 (18.6, 21.1)10.4 (6.7, 14.2)
Oceania15.5 (13.8,17.2)1.7 (-9.0, 13.0)16.5 (14.6, 18.3)1.6 (-9.2, 12.8)16.0 (14.2, 17.6)1.8 (-8.8, 12.7)
Central Europe, Eastern Europe, and Central AsiaCentral Asia22.7 (21.1, 24.4)-2.4 (-8.1, 3.9)26.1 (24.4, 27.9)-10.8 (-15.2, -6.2)24.4 (22.8, 25.9)-7.7 (-11.7, -3.6)
Eastern Europe26.8 (22.0, 31.6)-6.9 (-22.9, 11.0)36.5 (31.2, 41.9)-8.7 (-21.5, 3.7)31.6 (27.6, 35.6)-8.8 (-19.7, 2.7)
Central Europe29.8 (28.0, 31.5)13.9 (9.2, 18.9)33.7 (31.8, 35.5)4.2 (-0.2, 8.7)31.7 (30.0, 33.3)8.7 (4.8, 12.8)

Contribution of Non-Stroke Mortality to Lifetime Risk of Stroke

Supplement Figure S1A-C and Supplement Table S5 show the hypothetical national lifetime stroke risk if all countries experienced the average non-stroke mortality rate of high SDI countries. In such a counterfactual scenario, the lifetime risk of stroke is no longer lowest in sub-Saharan Africa. The largest increases in lifetime risk of stroke due to decreased non- stroke mortality in this hypothetical scenario were in Oceania (from 16% to 30%), sub- Saharan Africa (from 12 to 22%), and South Asia (from 15 to 21%). Smaller increases were seen for other low and middle-income countries, reflecting geographic variation in competing non-stroke mortality as a major determinant of lifetime stroke risk (Supplement Figures S9A- R).

Lifetime risk by sex, age, and stroke type

In 2016, the lifetime risk of stroke in men (24.7% [95% UI 23.3–26.0]) globally was not significantly different than in women (25.1% [23.7–26.5]) (Table 1), but there were regional (Table 1; Figure 1; Supplement Figures S10A and S10B) and between-country differences in sex-specific risk. The greatest risk in men was in China (41.1% [39.2–42.9]) where there was also the largest difference between men (41.1% [39.2-42.9]) and women (36.7% [35.0-38.6]). Latvia had the greatest risk in women (41.7% [37.7–45.4]) with similar levels in Russia, Montenegro, Romania, Bosnia and Herzegovina, Lithuania, Macedonia, Bulgaria, Ukraine, Slovakia, Albania, Serbia and Belarus. Among 21 GBD regions, the highest lifetime risk in men (Table 1; Supplement Figure S2B) was in East Asia (40.6% [38.7-42.3]), while in women (Supplement Figure S2C) the highest risk was in both Eastern Europe (36.5% [31.2-41.9]) and East Asia (36.3% [34.5-38.1]).
Figure 1

Global map showing lifetime risk of stroke occurrence (in %), both sexes combined, 2016.

The risk was significantly higher in women than men in Central Latin America, Southern and Western Sub-Saharan Africa, North Africa and Middle East, South Asia, and Central Europe. The lifetime risk of hemorrhagic stroke showed less variation by sex than ischemic stroke. The lifetime risk of ischemic stroke was about two times higher than the risk of hemorrhagic stroke in both men and women across different regions (Table 1) and SDI level quintiles (Supplement Table S6). In 2016, the lifetime risk of total stroke was not significantly different between age 25 (24.7% [23.3-26.0]) and 70 years (22.6% [21.0-24.1]) in men, and women (25.1% [23.7-26.5] and 22.3% [20.6-23.9], respectively) (Supplement Figures S11A and S11B; Supplement Table S7). After age 70, the remaining lifetime risk decreased, reaching 13.4% (11.8–15.1) for adults aged 95 years (Figure 2).
Figure 2

Global remaining lifetime risk of stroke occurrence (in% with 95% UI) by pathological types, age, and sex, 2016.

Relationship between lifetime risk of stroke and age. Each colored line represents a trend of the relationship for the specified pathological type. The 95% confidence interval is within the shaded region surrounding each line. Modeled age starts at 25.

Global remaining lifetime risk of stroke occurrence (in% with 95% UI) by pathological types, age, and sex, 2016.

Relationship between lifetime risk of stroke and age. Each colored line represents a trend of the relationship for the specified pathological type. The 95% confidence interval is within the shaded region surrounding each line. Modeled age starts at 25. Similar age patterns in lifetime risk were apparent for both ischemic and hemorrhagic strokes across all SDI geographies, with less decline with ageing for hemorrhagic stroke in low-middle and low SDI countries. (Supplement Figures S4-S8). The lifetime risks for ischemic and hemorrhagic separately add up to more than the total risk for all stroke because total risk is inclusive of both subtypes and represents the risk of getting either an ischemic or hemorrhagic stroke.

Differences for lifetime risk in 1990 and 2016

Globally from 1990 to 2016, there was a significant increase in the average lifetime risk of stroke from 22% to 24%, a relative increase of 9% (Table 1; Supplement Table S4). The relative increase in the risk was greater for men (15.4% [12.5-18.2]) than women (3.2% [0.2- 6.1]), and for ischemic stroke (12.7% [8.9, 16.3]) than hemorrhagic stroke (4.0% [0.2, 7.6]). There was a significant increase in risk in Western and Eastern Sub-Saharan Africa, North Africa and Middle East, Central Europe, East Asia, South Asia and Southeast Asia. There was a significant reduction in risk in Central Asia, Southern and Tropical Latin America, high- income Asia Pacific, and Southern Sub-Saharan Africa. There were no significant changes estimated in the remaining GBD regions.

Discussion

The global lifetime risk of stroke from age 25 onward is estimated to have increased from 22% to 24% over the past three decades, with the risk of ischemic stroke exceeding the risk of hemorrhagic stroke (18% vs 8%, respectively). This increase in risk is the result of flat or increasing stroke incidence in many middle-SDI regions with simultaneous declines in the competing risks of non-stroke mortality. The estimated global lifetime risk of stroke declined with age, due to age-related competing risks from other diseases. In low SDI countries with the youngest populations, such as Sub- Saharan Africa, estimated lower lifetime stroke risk is the result of high competing risk of mortality at both young and old ages and does not represent substantially lower stroke incidence or more effective prevention and treatment strategies.17, 2, In contrast, we estimated the highest estimated lifetime stroke risks are found in East Asia, Central and Eastern Europe. Many of our national estimated lifetime stroke risks are similar or higher compared to what was observed for specific populations in the same country, including the Framingham Heart cohort (21.1% for women and 16.9% for men ),18 in a Japanese cohort (18.9% for men and 20.2% for women),8 and in a Chinese cohort (18.0% for men and 14.7% for women).7 Our estimates are lower than that for women in the Netherlands (29.8%) but similar to estimates there among men (22.8%).9 We estimated ischemic stroke to be more frequent than hemorrhagic stroke which is comparable to the findings of other population-based studies.6, 8, 12, 13. 19 Regional variation in lifetime cardiovascular risk across subpopulations has been shown previously by the Cardiovascular Lifetime Risk Pooling Project, and support our finding of large geographic variation in total stroke risk.10 The greater increase in the lifetime risk of ischemic stroke compared to hemorrhagic stroke from 1990 to 2016 may be related to reduction in the incidence of hemorrhagic stroke as opposed to minor increases in the incidence of ischemic stroke over the last two decades.3 Although our findings of similar lifetime risk of stroke in men and women are in concordance with some other observations, there have been studies 8-10, 19 in which the risk was greater in women compared with that in men, and the reasons for these differences between studies is unclear. The Global Burden of Disease Study Comparative Risk Assessment 4, 20 estimated that elevated blood pressure was the leading attributable risk for stroke across all levels of the SDI, with greater attribution to air pollution and low fruit intake in low-SDI countries and high body-mass index and high fasting plasma glucose in high-SDI countries. Estimates of lifetime risk of a disease is new for the GBD study, which has previously published several other summary measures of health including years of life lost prematurely, years lives with disability,3, 21 and stroke burden associated with various risk factors.4 Lifetime risk may be useful for stroke prevention and public education. High estimates of lifetime risk of stroke suggest the possible value of intensive primary stroke prevention measures throughout the lifespan and suggest that strategies to reduce cardiovascular risk remain relevant for both younger and older adults. The main strength of our study was that we systematically evaluated the lifetime risk of using data and methods that allow for comparable estimates between location and over time. We provided estimates of the lifetime risk of stroke for people aged 25 years and over (up to age 95) as opposed to stroke lifetime risk estimates from other studies, where the risk of stroke was estimated for people aged 45 or over.6,8-10 Furthermore, our lifetime stroke risk estimates account for competing risk of mortality from other causes of death and represent whole populations, adding to the generalizability of these results. Our approach has limitations. The accuracy of lifetime stroke risk estimates was limited by the accuracy and availability of epidemiological data from the countries studied. There was still lack of sufficient epidemiological data on stroke incidence and case fatality for most countries of the world. In countries without data on stroke incidence, estimates were dependent on geospatial statistical models incorporating data from neighboring countries and country-level risk exposure data, which is widely available. The ability to differentiate stroke from other acute neurological events and to differentiate ischemic from hemorrhagic strokes was impeded by the nature of health system in each country, by the technology available to diagnose strokes, and the customary manner of coding disease entities. We did not differentiate risk due to subarachnoid hemorrhage and intracerebral hemorrhage, which were combined as an estimate of total hemorrhagic stroke. There is significant subnational variation in stroke burden within large countries and our results represent only average national risk. Standard error was increased using a standard algorithm when data from subnational regions were used to represent an entire country. Finally, we analyzed only the lifetime risk of first-ever stroke and not recurrent stroke. In conclusion, our study provides comprehensive global, regional, and country-specific estimates of the lifetime risk of stroke by sex, age, with imprecision introduced by limited data in many countries. The global lifetime risk of stroke is approximately 25% starting at age 25 in both men and women and there is large geographical variation, with particularly high lifetime risk in East Asia, Central and Eastern Europe.
  18 in total

Review 1.  Global Burden of Stroke.

Authors:  Valery L Feigin; Bo Norrving; George A Mensah
Journal:  Circ Res       Date:  2017-02-03       Impact factor: 17.367

2.  Lifetime risk of stroke in Japan.

Authors:  Tanvir Chowdhury Turin; Yoshihiro Kokubo; Yoshitaka Murakami; Aya Higashiyama; Nahid Rumana; Makoto Watanabe; Tomonori Okamura
Journal:  Stroke       Date:  2010-05-20       Impact factor: 7.914

Review 3.  Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review.

Authors:  Valery L Feigin; Carlene M M Lawes; Derrick A Bennett; Suzanne L Barker-Collo; Varsha Parag
Journal:  Lancet Neurol       Date:  2009-02-21       Impact factor: 44.182

4.  Hypertension and lifetime risk of stroke.

Authors:  Tanvir Chowdhury Turin; Tomonori Okamura; Arfan Raheen Afzal; Nahid Rumana; Makoto Watanabe; Aya Higashiyama; Yoko Nakao; Michikazu Nakai; Misa Takegami; Kunihiro Nishimura; Yoshihiro Kokubo; Akira Okayama; Yoshihiro Miyamoto
Journal:  J Hypertens       Date:  2016-01       Impact factor: 4.844

5.  Global burden of stroke and risk factors in 188 countries, during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

Authors:  Valery L Feigin; Gregory A Roth; Mohsen Naghavi; Priya Parmar; Rita Krishnamurthi; Sumeet Chugh; George A Mensah; Bo Norrving; Ivy Shiue; Marie Ng; Kara Estep; Kelly Cercy; Christopher J L Murray; Mohammad H Forouzanfar
Journal:  Lancet Neurol       Date:  2016-06-09       Impact factor: 44.182

6.  Sex differences in lifetime risk and first manifestation of cardiovascular disease: prospective population based cohort study.

Authors:  Maarten J G Leening; Bart S Ferket; Ewout W Steyerberg; Maryam Kavousi; Jaap W Deckers; Daan Nieboer; Jan Heeringa; Marileen L P Portegies; Albert Hofman; M Arfan Ikram; M G Myriam Hunink; Oscar H Franco; Bruno H Stricker; Jacqueline C M Witteman; Jolien W Roos-Hesselink
Journal:  BMJ       Date:  2014-11-17

7.  Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

8.  Global, regional, and national age-sex specific mortality for 264 causes of death, 1980-2016: a systematic analysis for the Global Burden of Disease Study 2016.

Authors: 
Journal:  Lancet       Date:  2017-09-16       Impact factor: 79.321

9.  Update on the Global Burden of Ischemic and Hemorrhagic Stroke in 1990-2013: The GBD 2013 Study.

Authors:  Valery L Feigin; Rita V Krishnamurthi; Priya Parmar; Bo Norrving; George A Mensah; Derrick A Bennett; Suzanne Barker-Collo; Andrew E Moran; Ralph L Sacco; Thomas Truelsen; Stephen Davis; Jeyaraj Durai Pandian; Mohsen Naghavi; Mohammad H Forouzanfar; Grant Nguyen; Catherine O Johnson; Theo Vos; Atte Meretoja; Christopher J L Murray; Gregory A Roth
Journal:  Neuroepidemiology       Date:  2015-10-28       Impact factor: 3.282

10.  Lifetime risk of stroke in young-aged and middle-aged Chinese population: the Chinese Multi-Provincial Cohort Study.

Authors:  Ying Wang; Jing Liu; Wei Wang; Miao Wang; Yue Qi; Wuxiang Xie; Yan Li; Jiayi Sun; Jun Liu; Dong Zhao
Journal:  J Hypertens       Date:  2016-12       Impact factor: 4.844

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  270 in total

Review 1.  Mobile Stroke Units: Bringing Treatment to the Patient.

Authors:  Mikel S Ehntholt; Melvin Parasram; Saad A Mir; Mackenzie P Lerario
Journal:  Curr Treat Options Neurol       Date:  2020-02-06       Impact factor: 3.598

2.  Signal of Carotid Intraplaque Hemorrhage on MR T1-Weighted Imaging: Association with Acute Cerebral Infarct.

Authors:  D Yang; Y Liu; Y Han; D Li; W Wang; R Li; C Yuan; X Zhao
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-09       Impact factor: 3.825

3.  In utero exposure to the Great Chinese Famine and risk of intracerebral hemorrhage in midlife.

Authors:  Yun Li; Yanping Li; M Edip Gurol; Yesong Liu; Peng Yang; Jihong Shi; Sheng Zhuang; Michele R Forman; Shouling Wu; Xiang Gao
Journal:  Neurology       Date:  2020-04-10       Impact factor: 9.910

Review 4.  Hypothermic neuroprotection against acute ischemic stroke: The 2019 update.

Authors:  Longfei Wu; Di Wu; Tuo Yang; Jin Xu; Jian Chen; Luling Wang; Shuaili Xu; Wenbo Zhao; Chuanjie Wu; Xunming Ji
Journal:  J Cereb Blood Flow Metab       Date:  2019-12-19       Impact factor: 6.200

Review 5.  [Intracerebral hemorrhage: hot topics].

Authors:  Maximilian I Sprügel; Hagen B Huttner
Journal:  Nervenarzt       Date:  2019-10       Impact factor: 1.214

6.  Prevalence, Trajectory, and Predictors of Poststroke Fatigue among Ghanaians.

Authors:  Fred S Sarfo; Patrick Berchie; Arti Singh; Michelle Nichols; Maria Agyei-Frimpong; Carolyn Jenkins; Bruce Ovbiagele
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-02-21       Impact factor: 2.136

7.  Influence of metabolic syndrome on post-stroke outcome, angiogenesis and vascular function in old rats determined by dynamic contrast enhanced MRI.

Authors:  Jesús M Pradillo; Macarena Hernández-Jiménez; María E Fernández-Valle; Violeta Medina; Juan E Ortuño; Stuart M Allan; Spencer D Proctor; Juan M Garcia-Segura; María J Ledesma-Carbayo; Andrés Santos; María A Moro; Ignacio Lizasoain
Journal:  J Cereb Blood Flow Metab       Date:  2020-12-01       Impact factor: 6.200

8.  Molecular screening for an underlying myeloproliferative neoplasm in patients with stroke: who and how?

Authors:  Stephen E Langabeer
Journal:  Blood Res       Date:  2020-03-30

Review 9.  Immune responses to stroke: mechanisms, modulation, and therapeutic potential.

Authors:  Costantino Iadecola; Marion S Buckwalter; Josef Anrather
Journal:  J Clin Invest       Date:  2020-06-01       Impact factor: 14.808

10.  Disabling stroke in persons already with a disability: Ethical dimensions and directives.

Authors:  Michael J Young; Robert W Regenhardt; Thabele M Leslie-Mazwi; Michael Ashley Stein
Journal:  Neurology       Date:  2020-01-22       Impact factor: 9.910

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