Prevalence and associated risk factors of carotid plaque and artery stenosis in China: a population-based study
Qingjia Zeng, Chongyang Zhang, Xinyao Liu, Shengmin Yang, Muyuan Ma, Jia Tang, Tianlu Yin, Shanshan Zhao, Wenjun Tu, Hongpu Hu
Prevalence and associated risk factors of carotid plaque and artery stenosis in China: a population-based study
Stroke is a critical health issue in China, and carotid artery stenosis and plaque play key roles in its prevalence. Despite the acknowledged significance of this condition, detailed information regarding the prevalence of carotid artery stenosis and plaque across the Chinese population has been scarce. This study analyzed data from the China Stroke High-risk Population Screening and Intervention Program for 2020–2021, focusing on 194 878 Chinese adults aged 40 years and above. It assessed the prevalence of carotid artery stenosis and plaque and identified their associated risk factors. Results revealed a standardized prevalence of 0.40% for carotid artery stenosis and 36.27% for carotid plaque. Notably, the highest rates of stenosis were observed in north and south China at 0.61%, while southwestern China exhibited the highest plaque prevalence at 43.17%. Key risk factors included older age, male gender, hypertension, diabetes, stroke, smoking, and atrial fibrillation. This study highlights significant geographical and demographic disparities in the prevalence of these conditions, underlining the urgent need for targeted interventions and policy reforms. These measures are essential for reducing the incidence of stroke and improving patient outcomes, addressing this significant health challenge in China.
carotid plaque / carotid artery stenosis / prevalence / risk factors / Bigdata Observatory Platform for stroke in China
[1] |
Katan M, Luft A. Global burden of stroke. Semin Neurol 2018; 38(2): 208–211
CrossRef
Google scholar
|
[2] |
GBD 2019 Stroke Collaborators. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2021; 20(10): 795–820
CrossRef
Google scholar
|
[3] |
GBD 2017 DALYs, HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018; 392(10159): 1859–1922
CrossRef
Google scholar
|
[4] |
Gao Y, Jiang B, Sun H, Ru X, Sun D, Wang L, Wang L, Jiang Y, Feigin VL, Wang Y, Wang W. The burden of stroke in China: results from a nationwide population-based epidemiological survey. PLoS One 2018; 13(12): e0208398
CrossRef
Google scholar
|
[5] |
Liu L, Wang D, Wong KSL, Wang Y. Stroke and stroke care in China: huge burden, significant workload, and a national priority. Stroke 2011; 42(12): 3651–3654
CrossRef
Google scholar
|
[6] |
Tu WJ, Hua Y, Yan F, Bian H, Yang Y, Lou M, Kang D, He L, Chu L, Zeng J, Wu J, Chen H, Han J, Ma L, Cao L, Wang L. Prevalence of stroke in China, 2013–2019: a population-based study. Lancet Reg Health West Pac 2022; 28: 100550
CrossRef
Google scholar
|
[7] |
Paraskevas KI, Nicolaides AN, Kakkos SK. Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) study: what have we learned from it. Ann Transl Med 2020; 8(19): 1271
CrossRef
Google scholar
|
[8] |
Messas E, Goudot G, Halliday A, Sitruk J, Mirault T, Khider L, Saldmann F, Mazzolai L, Aboyans V. Management of carotid stenosis for primary and secondary prevention of stroke: state-of-the-art 2020: a critical review. Eur Heart J Suppl 2020; 22(Suppl M): M35–M42
CrossRef
Google scholar
|
[9] |
Xie Y, Yu M, Qing T, Luo H, Shao M, Wei W, Yi X. Variants in genes related to inflammation and endothelial function can increase the risk for carotid atherosclerosis in southwestern China. Front Neurol 2023; 14: 1174425
CrossRef
Google scholar
|
[10] |
Tang X, Zhang L, Li Y, Zhou Y, Cai X, Yao Y, Fang Q. Relationship between triglyceride–glucose index and carotid plaques in a high-stroke-risk population in southeast China: a population-based cross-sectional survey. Front Endocrin 2022; 13: 1023867
CrossRef
Google scholar
|
[11] |
Lin Y, Li Y, Li Z, Zhang Z, Liu J, Sun J, Tu J, Wang J, Zhang W, Li J, Ning X. Sex-related differences in the incidence and development of carotid plaques in a low-income Chinese population—a prospective cohort study. Int J Womens Health 2022; 14: 787–795
CrossRef
Google scholar
|
[12] |
Wang A, Tian X, Zuo Y, Wu J, Tang H, Wang Y, Zhao X. Association of remnant cholesterol with intra- and extra-cranial atherosclerosis in Chinese community population. Atheroscler Plus 2021; 46: 20–26
CrossRef
Google scholar
|
[13] |
Zhang Z, Fang X, Hua Y, Liu B, Ji X, Tang Z, Wang C, Guan S, Wu X, Liu H, Gu X. Combined effect of hyperhomocysteinemia and hypertension on the presence of early carotid artery atherosclerosis. J Stroke Cerebrovasc Dis 2016; 25(5): 1254–1262
CrossRef
Google scholar
|
[14] |
Yuan C, Lai CWK, Chan LWC, Chow M, Law HKW, Ying M. Cumulative effects of hypertension, dyslipidemia, and chronic kidney disease on carotid atherosclerosis in Chinese patients with type 2 diabetes mellitus. J Diabetes Res 2014; 2014: 179686
CrossRef
Google scholar
|
[15] |
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet 2007; 370(9596): 1453–1457
CrossRef
Google scholar
|
[16] |
Chao BH, Yan F, Hua Y, Liu JM, Yang Y, Ji XM, Peng B, Zhao GG, Wang YJ, Kang DZ, Wang YL, Zeng JS, Chu L, Li TX, Xu YM, Liu M, He L, Xu Y, Wu J, Lou M, Yue W, Cao L, Tu WJ, Wang LD. Stroke prevention and control system in China: CSPPC-Stroke Program. Int J Stroke 2021; 16(3): 265–272
CrossRef
Google scholar
|
[17] |
Ferguson GG, Eliasziw M, Barr HWK, Clagett GP, Barnes RW, Wallace MC, Taylor DW, Haynes RB, Finan JW, Hachinski VC, Barnett HJM. The North American Symptomatic Carotid Endarterectomy Trial: surgical results in 1415 patients. Stroke 1999; 30(9): 1751–1758
CrossRef
Google scholar
|
[18] |
Song P, Fang Z, Wang H, Cai Y, Rahimi K, Zhu Y, Fowkes FGR, Fowkes FJI, Rudan I. Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta-analysis, and modelling study. Lancet Glob Health 2020; 8(5): e721–e729
CrossRef
Google scholar
|
[19] |
Fu J, Deng Y, Ma Y, Man S, Yang X, Yu C, Lv J, Wang B, Li L. National and provincial-level prevalence and risk factors of carotid atherosclerosis in Chinese adults. JAMA Netw Open 2024; 7(1): e2351225
CrossRef
Google scholar
|
[20] |
Dossabhoy S, Arya S. Epidemiology of atherosclerotic carotid artery disease. Semin Vasc Surg 2021; 34(1): 3–9
CrossRef
Google scholar
|
[21] |
de Weerd M, Greving JP, Hedblad B, Lorenz MW, Mathiesen EB, O’Leary DH, Rosvall M, Sitzer M, Buskens E, Bots ML. Prevalence of asymptomatic carotid artery stenosis in the general population: an individual participant data meta-analysis. Stroke 2010; 41(6): 1294–1297
CrossRef
Google scholar
|
[22] |
Mathiesen EB, Joakimsen O, Bonaa KH. Prevalence of and risk factors associated with carotid artery stenosis: the Tromso Study. Cerebrovasc Dis 2001; 12(1): 44–51
CrossRef
Google scholar
|
[23] |
Clarke R, Du H, Kurmi O, Parish S, Yang M, Arnold M, Guo Y, Bian Z, Wang L, Chen Y, Meijer R, Sansome S, McDonnell J, Collins R, Li L, Chen Z. Burden of carotid artery atherosclerosis in Chinese adults: implications for future risk of cardiovascular diseases. Eur J Prev Cardiol 2017; 24(6): 647–656
CrossRef
Google scholar
|
[24] |
Zhao W, Wu Y, Shi M, Bai L, Tu J, Guo Z, Jiang R, Zhang J, Ning X, Wang J. Sex differences in prevalence of and risk factors for carotid plaque among adults: a population-based cross-sectional study in rural China. Sci Rep 2016; 6(1): 38618
CrossRef
Google scholar
|
[25] |
van Dam-Nolen DHK, van Egmond NCM, Dilba K, Nies K, van der Kolk AG, Liem MI, Kooi ME, Hendrikse J, Nederkoorn PJ, Koudstaal PJ, van der Lugt A, Bos D. Sex differences in plaque composition and morphology among symptomatic patients with mild-to-moderate carotid artery stenosis. Stroke 2022; 53(2): 370–378
CrossRef
Google scholar
|
[26] |
Sturlaugsdottir R, Aspelund T, Bjornsdottir G, Sigurdsson S, Thorsson B, Eiriksdottir G, Gudnason V. Prevalence and determinants of carotid plaque in the cross-sectional REFINE-Reykjavik study. BMJ Open 2016; 6(11): e012457
CrossRef
Google scholar
|
[27] |
Chou CL, Wu YJ, Hung CL, Liu CC, Wang SD, Wu TW, Wang LY, Yeh HI. Segment-specific prevalence of carotid artery plaque and stenosis in middle-aged adults and elders in Taiwan: a community-based study. J Formos Med Assoc 2019; 118(1): 64–71
CrossRef
Google scholar
|
[28] |
Kuo F, Gardener H, Dong C, Cabral D, Della-Morte D, Blanton SH, Elkind MSV, Sacco RL, Rundek T. Traditional cardiovascular risk factors explain the minority of the variability in carotid plaque. Stroke 2012; 43(7): 1755–1760
CrossRef
Google scholar
|
[29] |
Fabris F, Zanocchi M, Bo M, Fonte G, Poli L, Bergoglio I, Ferrario E, Pernigotti L. Carotid plaque, aging, and risk factors. A study of 457 subjects. Stroke 1994; 25(6): 1133–1140
CrossRef
Google scholar
|
[30] |
Lu SX, Wu TW, Chou CL, Cheng CF, Wang LY. Combined effects of hypertension, hyperlipidemia, and diabetes mellitus on the presence and severity of carotid atherosclerosis in community-dwelling elders: a community-based study. J Chin Med Assoc 2023; 86(2): 220–226
|
[31] |
Nelson RH. Hyperlipidemia as a risk factor for cardiovascular disease. Primary Care 2013; 40(1): 195–211
CrossRef
Google scholar
|
[32] |
Ahmed ST, Li R, Richardson P, Ghosh S, Steele L, White DL, Djotsa AN, Sims K, Gifford E, Hauser ER, Virani SS, Morgan R, Delclos G, Helmer DA. Association of atherosclerotic cardiovascular disease, hypertension, diabetes, and hyperlipidemia with Gulf war illness among Gulf War veterans. J Am Heart Assoc 2023; 12(19): e029575
CrossRef
Google scholar
|
[33] |
Laguzzi F, Baldassarre D, Veglia F, Strawbridge RJ, Humphries SE, Rauramaa R, Smit AJ, Giral P, Silveira A, Tremoli E, Hamsten A, de Faire U, Frumento P, Leander K. Alcohol consumption in relation to carotid subclinical atherosclerosis and its progression: results from a European longitudinal multicentre study. Eur J Nutr 2021; 60(1): 123–134
CrossRef
Google scholar
|
[34] |
Britton A, Hardy R, Kuh D, Deanfield J, Charakida M, Bell S. Twenty-year trajectories of alcohol consumption during midlife and atherosclerotic thickening in early old age: findings from two British population cohort studies. BMC medicine 2016; 14(1): 111
CrossRef
Google scholar
|
[35] |
Oreopoulos A, Kalantar-Zadeh K, Sharma AM, Fonarow GC. The obesity paradox in the elderly: potential mechanisms and clinical implications. Clin Geriatr Med 2009; 25(4): 643–659
CrossRef
Google scholar
|
[36] |
Haberka M, Skilton M, Biedroń M, Szóstak-Janiak K, Partyka M, Matla M, Gąsior Z. Obesity, visceral adiposity and carotid atherosclerosis. J Diabetes Complications 2019; 33(4): 302–306
CrossRef
Google scholar
|
[37] |
Pan X, Chen X, Ren L, Li Z, Chen S. Correlation of obesity and overweight with cervical vascular function among healthy populations. Diabetes Metab Syndr Obes 2022; 15: 2927–2938
CrossRef
Google scholar
|
[38] |
Shen P, Zhou Y, Song A, Wan Y, Fan Z, Xu R. The association of metabolic health obesity with incidence of carotid artery plaque in Chinese adults. Nutr Metab Cardiovasc Dis 2021; 31(8): 2376–2381
CrossRef
Google scholar
|
[39] |
Hunt KJ, Duggirala R, Göring HHH, Williams JT, Almasy L, Blangero J, O’Leary DH, Stern MP. Genetic basis of variation in carotid artery plaque in the San Antonio Family Heart Study. Stroke 2002; 33(12): 2775–2780
CrossRef
Google scholar
|
[40] |
Bi Y, Qin Y, Su J, Cui L, Du WC, Miao WG, Li XB, Zhou JY. Prevalence and influencing factors of carotid plaque in population at high-risk for cardiovascular disease in Jiangsu province. Chinese Journal of Epidemiology (Zhonghua Liuxingbingxue Zazhi) 2019; 40(11): 1432–1438
|
[41] |
Zhang K, Lin Q, Zhang T, Guo D, Cao L. Contemporary prevalence and risk factors of carotid artery stenosis in asymptomatic low-income Chinese individuals: a population-based study. Postgrad Med 2020; 132(7): 650–656
CrossRef
Google scholar
|
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