AlGhibiwi Hanan K, Sarawi Wedad S, Alosaimi Manal E, Alhusaini Ahlam M, Assiri Mohammed A, Algarzae Norah K
Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11149, Saudi Arabia.
Department of Basic Health Sciences, College of Medicine, Princess Nourah Bint Abdulrahman University, Riyadh 11671, Saudi Arabia.
J Cardiovasc Dev Dis. 2023 Aug 23;10(9):358. doi: 10.3390/jcdd10090358.
Traditional modifiable cardiovascular risk factors, such as high blood pressure, have long been positively correlated with high carotid intima-media thickness (cIMT). However, traditional cardiovascular risk factors made a minor contribution to cIMT variance, meaning that other markers may be regarded as independent markers for increasing cIMT.
To investigate the simple demographic patterns of carotid intima-media thickness (cIMT) in the UK Biobank and to identify which upstream cardiovascular disease (CVD) risk factors are independently associated with cIMT.
A cross-sectional-based study of healthy middle-aged people recruited in the UK between 2006 and 2010 ( = 42,726).
This study showed that the cardiovascular risk profile generally worsened across the cIMT quantiles from lowest to highest. The lowest cIMT quartile was defined as having a mean cIMT < 588 µm, while the highest cIMT quartile was defined as having a mean cIMT > 748 µm. Specifically, the highest cIMT quantile group had a worse CVD risk factors profile compared to the lowest cIMT quantile group. It was found that, for every one SD increase in age and systolic blood pressure, the mean cIMT increased by 0.357 SD and 0.115 SD, respectively.
Systolic blood pressure and age were the strongest independent risk factors for a high cIMT value compared to other risk factors.
长期以来,传统的可改变心血管危险因素,如高血压,一直与高颈动脉内膜中层厚度(cIMT)呈正相关。然而,传统心血管危险因素对cIMT变异的贡献较小,这意味着其他标志物可能被视为cIMT增加的独立标志物。
研究英国生物银行中颈动脉内膜中层厚度(cIMT)的简单人口统计学模式,并确定哪些上游心血管疾病(CVD)危险因素与cIMT独立相关。
对2006年至2010年在英国招募的健康中年人进行横断面研究(n = 42,726)。
本研究表明,心血管风险状况通常从最低到最高的cIMT分位数逐渐恶化。最低的cIMT四分位数定义为平均cIMT < 588 µm,而最高的cIMT四分位数定义为平均cIMT > 748 µm。具体而言,与最低cIMT四分位数组相比,最高cIMT分位数组的CVD危险因素状况更差。研究发现,年龄和收缩压每增加一个标准差,平均cIMT分别增加0.357个标准差和0.115个标准差。
与其他危险因素相比,收缩压和年龄是高cIMT值的最强独立危险因素。