Volume 7,Issue 3
Carotid Plaque-related Factor Analysis: A Cross-Sectional Study Based on a Large Sample
Objective: Aimed to conduct a cross-sectional study to analyze factors associated with carotid atherosclerotic plaque formation through a retrospective review of medical examination data. Methods: Data from medical examinations at Gongli Hospital of Shanghai Pudong New Area from July 2013 to October 2021 were collected. The analysis focused on carotid plaques, using both univariate and multivariate logistic regression. Subgroup analyses were conducted based on age, sex, BMI, and blood pressure measurements to identify risk factors for carotid plaques in different populations. Results: A total of 20,570 medical examination cases were included in the study. Among these cases, 7,435 showed carotid plaques, resulting in a detection rate of 36.1%. There were significant differences in the examined indicators between the groups with and without plaques. Both univariate logistic and multivariate regression analyses were conducted to identify independent factors related to carotid plaque formation. The results revealed the following factors that were positively correlated with plaque formation: advanced age, elevated systolic pressure, increased white blood cell count, increased basophil count, and elevated fasting blood sugar level (P < 0.05, odds ratio (OR) > 1). Additionally, female sex was found to be negatively correlated with carotid plaque formation (P < 0.05, OR < 1). Conclusions: Carotid plaques are influenced by several factors, including sex, age, systolic pressure, white blood cell count, basophil count, and fasting blood sugar levels. However, additional research is needed to determine the direct impact of these factors on the formation of carotid plaques.
[1] Ma Q, Li R, Wang L, Yin P, Wang Y, Yan C, et al., 2021, Temporal trend and attributable risk factors of stroke burden in China, 1990-2019: an analysis for the Global Burden of Disease Study 2019. Lancet Public Health, 6: e897-e906.
[2] Wang LD, Peng B, Zhang HQ, et al., 2022, Brief report on stroke prevention and treatment in China, 2020. Chinese Journal of Cerebrovascular Diseases, 19: 136-144.
[3] Zhou M, Wang H, Zeng X, Yin P, Zhu J, Chen W, et al., 2019, Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 394: 1145-1158.31 Volume 7, Issue 3
[4] Varade S, Ravichandran A, Rehim E, Yacoub H, Duncan R, Kincaid H, et al., 2023, The role of carotid ultrasound in patients with non-lateralizing neurological complaints. Hosp Pract (1995), 51: 44-50.
[5] Zavodni AE, Wasserman BA, McClelland RL, Gomes AS, Folsom AR, Polak JF, et al., 2014, Carotid artery plaque morphology and composition in relation to incident cardiovascular events: the Multi-Ethnic Study of Atherosclerosis (MESA). Radiology, 271: 381-389.
[6] Wang MM, Chen YF, Yang ML, et al., 2023, Risk factors for carotid atherosclerosis. China Modern Medicine, 30(13): 58-61.
[7] Guo Y, Wang AH, Xiong WW, et al., 2024, Incidence and related factors of carotid atherosclerosis in railway workers. Hebei Medical Journal, 46(6): 935-938.
[8] Genton M, Farfan M, Tesson C, Laclaire AL, Rossignol F, Mespoulhes-Rivière C, 2021, Balloon catheter occlusion of the maxillary, internal, and external carotid arteries in standing horses. Vet Surg, 50: 546-555.
[9] Orecchioni M, Kobiyama K, Winkels H, Ghosheh Y, McArdle S, Mikulski Z, et al., 2022, Olfactory receptor 2 in vascular macrophages drives atherosclerosis by NLRP3-dependent IL-1 production. Science, 375: 214-221.
[10] Mauersberger C, Hinterdobler J, Schunkert H, Kessler T, Sager HB, 2021, Where the Action Is-Leukocyte Recruitment in Atherosclerosis. Front Cardiovasc Med, 8: 813984.
[11] Li Y, Cheng Y, Zhou Y, Du H, Zhang C, Zhao Z, et al., 2022, High fat diet-induced obesity leads to depressive and anxiety-like behaviors in mice via AMPK/mTOR-mediated autophagy. Exp Neurol, 348: 113949.
[12] Wang L, Luqmani R, Udalova IA, 2022, The role of neutrophils in rheumatic disease-associated vascular inflammation. Nat Rev Rheumatol, 18: 158-170.
[13] Corriere T, Di Marca S, Cataudella E, Pulvirenti A, Alaimo S, Stancanelli B, et al., 2018, Neutrophil-to-Lymphocyte Ratio is a strong predictor of atherosclerotic carotid plaques in older adults. Nutr Metab Cardiovasc Dis, 28: 23-27.
[14] Becker RC, Sexton T, Smyth SS, 2018, Translational Implications of Platelets as Vascular First Responders. Circ Res, 122: 506-522.
[15] Wang X, Shen Y, Shang M, Liu X, Munn LL, 2023, Endothelial mechanobiology in atherosclerosis. Cardiovasc Res, 119: 1656-1675.
[16] Kraaijenhof JM, Hovingh GK, Stroes ESG, Kroon J, 2021, The iterative lipid impact on inflammation in atherosclerosis. Curr Opin Lipidol, 32: 286-292.
[17] López-Melgar B, Fernández-Friera L, Oliva B, García-Ruiz JM, Sánchez-Cabo F, Bueno H, et al., 2020, Short-Term Progression of Multiterritorial Subclinical Atherosclerosis. J Am Coll Cardiol, 75: 1617-1627.
[18] Vakhtangadze T, Singh Tak R, Singh U, Baig MS, Bezsonov E, 2021, Gender Differences in Atherosclerotic Vascular Disease: From Lipids to Clinical Outcomes. Front Cardiovasc Med, 8: 707889.
[19] Libby P, 2021, The changing landscape of atherosclerosis. Nature, 592: 524-533.
