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Estimated Burden of Stroke in China in 2020
Open accessAbstract
Importance: Stroke is the leading cause of death in China. However, recent data about the up-to-date stroke burden in China are limited. Objective: To investigate the urban-rural disparity of stroke burden in the Chinese adult population, including prevalence, incidence, and mortality rate, and disparities between urban and rural populations. Design, Setting, and Participants: This cross-sectional study was based on a nationally representative survey that included 676 394 participants aged 40 years and older. It was conducted from July 2020 to December 2020 in 31 provinces in mainland China. Main Outcomes and Measures: Primary outcome was self-reported stroke verified by trained neurologists during a face-to-face interviews using a standardized protocol. Stroke incidence were assessed by defining first-ever strokes that occurred during 1 year preceding the survey. Strokes causing death that occurred during the 1 year preceding the survey were considered as death cases. Results: The study included 676 394 Chinese adults (395 122 [58.4%] females; mean [SD] age, 59.7 [11.0] years). In 2020, the weighted prevalence, incidence, and mortality rates of stroke in China were 2.6% (95% CI, 2.6%-2.6%), 505.2 (95% CI, 488.5-522.0) per 100 000 person-years, and 343.4 (95% CI, 329.6-357.2) per 100 000 person-years, respectively. It was estimated that among the Chinese population aged 40 years and older in 2020, there were 3.4 (95% CI, 3.3-3.6) million incident cases of stroke, 17.8 (95% CI, 17.5-18.0) million prevalent cases of stroke, and 2.3 (95% CI, 2.2-2.4) million deaths from stroke. Ischemic stroke constituted 15.5 (95% CI, 15.2-15.6) million (86.8%) of all incident strokes in 2020, while intracerebral hemorrhage constituted 2.1 (95% CI, 2.1-2.1) million (11.9%) and subarachnoid hemorrhage constituted 0.2 (95% CI, 0.2-0.2) million (1.3%). The prevalence of stroke was higher in urban than in rural areas (2.7% [95% CI, 2.6%-2.7%] vs 2.5% [95% CI, 2.5%-2.6%]; P = .02), but the incidence rate (485.5 [95% CI, 462.8-508.3] vs 520.8 [95% CI, 496.3-545.2] per 100 000 person-years; P < .001) and mortality rate (309.9 [95% CI, 291.7-328.1] vs 369.7 [95% CI, 349.1-390.3] per 100 000 person-years; P < .001) were lower in urban areas than in rural areas. In 2020, the leading risk factor for stroke was hypertension (OR, 3.20 [95% CI, 3.09-3.32]). Conclusions and Relevance: In a large, nationally representative sample of adults aged 40 years or older, the estimated prevalence, incidence, and mortality rate of stroke in China in 2020 were 2.6%, 505.2 per 100 000 person-years, and 343.4 per 100 000 person-years, respectively, indicating the need for an improved stroke prevention strategy in the general Chinese population.
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Vos, T., Lim, S. S., Abbafati, C., Abbas, K. M., Abbasi, M., Abbasifard, M., Abbasi-Kangevari, M., Abbastabar, H., Abd-Allah, F., Abdelalim, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30925-9 · Cited by 19,358
Self-citationHeart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Delling, F. N., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000757 · Cited by 9,175
Feigin, V. L., Stark, B. A., Johnson, C. O., Roth, G. A., Bisignano, C., Abady, G. G., Abbasifard, M., Abbasi-Kangevari, M., Abd-Allah, F., Abedi, V., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00252-0 · Cited by 7,937
Self-citationFeigin, V. L., Lawes, C. M., Bennett, D. A., Barker-Collo, S. L., & Parag, V. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70025-0 · Cited by 2,855
Wang, W., Jiang, B., Sun, H., Ru, X., Sun, D., Wang, L., Wang, L., Jiang, Y., Li, Y., Wang, Y., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.025250 · Cited by 1,977
Self-citationStroke in China: advances and challenges in epidemiology, prevention, and management
Wu, S., Wu, B., Liu, M., Chen, Z., Wang, W., Anderson, C. S., Sandercock, P., Wang, Y., Huang, Y., Cui, L., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30500-3 · Cited by 1,589
Self-citationLi, Y., Teng, D., Shi, X., Qin, G., Qin, Y., Quan, H., Shi, B., Sun, H., Ba, J., Chen, B., et al. (2020) · BMJ · doi:10.1136/bmj.m997 · Cited by 1,580
Self-citationGlobal, regional, and country-specific lifetime risks of stroke, 1990 and 2016
Collaborators, T. G. 2. L. R. O. S. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1804492 · Cited by 1,503
Epidemiology of cardiovascular disease in China: current features and implications
Zhao, D., Liu, J., Wang, M., Zhang, X., & Zhou, M. (2019) · Nature Reviews Cardiology · doi:10.1038/s41569-018-0119-4 · Cited by 1,388
Self-citationPrevalence and Treatment of Diabetes in China, 2013-2018
Wang, L., Peng, W., Zhao, Z., Zhang, M., Shi, Z., Song, Z., Zhang, X., Li, C., Huang, Z., Sun, X., et al. (2021) · JAMA · doi:10.1001/jama.2021.22208 · Cited by 961
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Wu, H., Wang, Y., Zhang, H., Yin, X., Wang, L., Wang, L., & Wu, J. (2024) · Scientific Reports · doi:10.1038/s41598-024-82443-2 · Cited by 52
Self-citationXiong, C.-C., Gao, F., Zhang, J.-H., Ruan, Y., Gao, T.-G., Cai, J.-Y., & Liu, S.-F. (2024) · International Journal of Cardiology · doi:10.1016/j.ijcard.2024.131946 · Cited by 39
Metadata
- Authors
- Tu, W.-J., Zhao, Z., Yin, P., Cao, L., Zeng, J., Chen, H., Fan, D., Fang, Q., Gao, P., Gu, Y., Tan, G., Han, J., He, L., Hu, B., Hua, Y., Kang, D., Li, H., Liu, J., Liu, Y., Lou, M., Luo, B., Pan, S., Peng, B., Ren, L., Wang, L., Wu, J., Xu, Y., Xu, Y., Yang, Y., Zhang, M., Zhang, S., Zhu, L., Zhu, Y., Li, Z., Chu, L., An, X., Wang, L., Yin, M., Li, M., Yin, L., Yan, W., Li, C., Tang, J., Zhou, M., & Wang, L.
- Venue
- JAMA Network Open
- Publisher
- American Medical Association (AMA)
- Published
- 2023-03-02
- Volume
- 6
- Issue
- 3
- Pages
- e231455
- ISSN
- 2574-3805 (ISSN-L)
- OpenAlex
- W4322758832
- Cited by
- 607
- References
- 34
- FWCI
- 101.69
- Type
- journal article
- Language
- en
- Open access
- gold
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- Tu, W.-J., Zhao, Z., Yin, P., Cao, L., Zeng, J., Chen, H., Fan, D., Fang, Q., Gao, P., Gu, Y., Tan, G., Han, J., He, L., Hu, B., Hua, Y., Kang, D., Li, H., Liu, J., Liu, Y., . . . Wang, L. (2023). Estimated Burden of Stroke in China in 2020. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2023.1455
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