Incidence and predictors of progression of carotid atherosclerosis in a low-income Chinese population—a prospective cohort study

医学 入射(几何) 内膜中层厚度 内科学 队列 前瞻性队列研究 人口 队列研究 腰围 人口学 颈动脉 体质指数 环境卫生 光学 物理 社会学
作者
Qiuxing Lin,Jie Liu,Peng Hu,Teng Li,Qiaoxia Yang,Jun Tu,Jinghua Wang,Jidong Li,Xianjia Ning
出处
期刊:Postgraduate Medicine [Taylor & Francis]
卷期号:134 (1): 85-95 被引量:2
标识
DOI:10.1080/00325481.2021.1997483
摘要

More than 200 million individuals have been diagnosed with carotid atherosclerosis (CAS) in China. We aimed to investigate the incidence and potential predictors of CAS progression in a low-income rural area in China.A population-based cohort study was conducted on individuals aged ≥45 years from 2014 to 2019. Multivariable analyses were used to investigate the predictors of carotid plaque (CP) formation, plaque number, and carotid intima-media thickness (CIMT).A total of 1479 participants were finally enrolled in this study. The incidence rate of CP was 42.9 cases per 1000 person-years, and the progression of median CIMT was 137.50 μm over five years. The risk of CP formation increased 2-fold in participants aged ≥75 years (P = 0.002) compared with those aged 45-54 years. The corresponding risk was 59% higher in participants with hypertension (P = 0.001) and 73% higher in alcohol drinkers (P = 0.006). With each 1- standard deviations (SD) increase in high- and low-density lipoprotein cholesterol levels, the risk of CP occurrence decreased by 16% (P = 0.016) and increased by 29% (P = 0.002), respectively. Participants aged ≥75 years exhibited a 3.3-fold higher risk of having a high number of plaques than those aged 45-54 years (P = 0.014). Moreover, older age and the waist-to-hip ratio were independent predictors of CIMT progression.This is the first longitudinal study to explore the incidence and predictors of CAS progression in a low-income rural population in China with a high prevalence of stroke. More detailed and precise strategies for prevention and intervention of CAS progression are necessary, especially in low-income rural areas in China.
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