CBRCell Biology ResearchTBA2529-7627Bio-Byword Scientific Publishing Pty. Ltd.10.18063/CBR.v7i3.15067ArticleCarotid Plaque-related Factor Analysis: A Cross-Sectional Study Based on a Large Samplehttps://artdesignp.com/journal/CBR/7/3/10.18063/CBR.v7i3.15067CaiZeen,LiShan,YangTi,WangYing,DengShengqiong2026732026-08-17Objective: 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.carotid plaques, stroke, risk factors, univariate logistic analyses, atherosclerosis

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