Comparison of Cardiovascular Disease Risk Factors Between 2 Subclinical Atherosclerosis Measures in Healthy Postmenopausal Women: Carotid Artery Wall Thickness and Echogenicity: Carotid Artery Wall Thickness and Echogenicity.

Comparison of Cardiovascular Disease Risk Factors Between 2 Subclinical Atherosclerosis Measures in Healthy Postmenopausal Women: Carotid Artery Wall Thickness and Echogenicity: Carotid Artery Wall Thickness and Echogenicity.
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健康绝经后妇女两种亚临床动脉粥样硬化措施之间心血管疾病危险因素的比较:颈动脉壁厚度和回声性:颈动脉壁厚度和回声性。

DOI:
10.1002/jum.15985
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发表时间:
2023
期刊:
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
影响因子:
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通讯作者:
Mack,WendyJ
Mack,WendyJ
中科院分区:
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文献类型:
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作者:
Karim,Roksana;Xu,Wenrui;Kono,Naoko;Li,Yanjie;Yan,Mingzhu;Stanczyk,FrankZ;Hodis,HowardN;Mack,WendyJ

文献摘要

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目的虽然颈动脉内膜中层厚度(CIMT)是亚临床动脉粥样硬化的广泛使用的决定因素,但颈总动脉内膜中层复合体的灰度中值(IM-GSM)是一种相对新颖的反映动脉壁组成的回声性测量方法。比较 CIMT 和 IM-GSM 之间心血管疾病 (CVD) 危险因素的相关性,以确定这些指标是否反映了动脉粥样硬化的不同方面,这一点非常重要。 方法 这项横断面研究纳入了来自 643 名没有临床明显 CVD 的健康绝经后妇女的已完成随机临床试验的基线信息。这些女性的平均年龄为 61±7 岁,并且主要是非西班牙裔白人。 CIMT 和 IM-GSM 通过高分辨率 B 型超声图测量右颈总动脉远壁。基线时测量了 CVD 危险因素,包括年龄、种族、体重指数 (BMI)、吸烟、每周体力活动时间、收缩压 (SBP) 和舒张压 (DBP)、血脂、血糖和炎症标志物。线性回归模型用于评估 CVD 危险因素与 CIMT 和 IM-GSM 的关联。多变量模型包括每次添加一个危险因素组,有或没有基本人口因素(年龄、种族、BMI、体力活动),并比较 CIMT 和 IM-GSM 之间的模型 R2 值。结果在多变量分析中,年龄、黑人种族、BMI、SBP 和 DBP 与 CIMT 相关(所有 P< .05),而年龄、西班牙裔种族、BMI、SBP、体力活动、LDL-胆固醇和瘦素则与 CIMT 相关(所有 P< .05)。 IM-GSM 的相关性(allP< .05)。调整年龄、种族、BMI和体力活动后,CIMT关联中SBP的R2值更大,而IM-GSM关联中脂质、葡萄糖、炎症标记物和脂肪因子的R2值更大。结论CIMT和IM-GSM评估亚临床动脉粥样硬化的不同属性。整合这两种措施可以改进对无症状个体的动脉粥样硬化的评估。
ObjectivesAlthough carotid artery intima media thickness (CIMT) is a widely used determinant of subclinical atherosclerosis, gray‐scale median of the intima‐media complex (IM‐GSM) of the common carotid artery is a relatively novel measure of echogenicity reflecting composition of the arterial wall. It is important to compare cardiovascular disease (CVD) risk factor correlates across CIMT and IM‐GSM to determine whether these measures reflect distinct aspects of atherosclerosis.MethodsBaseline information from a completed randomized clinical trial of 643 healthy postmenopausal women without clinically apparent CVD was included in this cross‐sectional study. The women were on average ± SD 61 ± 7 years old, and predominantly non‐Hispanic White. CIMT and IM‐GSM were measured by high‐resolution B‐mode ultrasonogram in the far wall of the right common carotid artery. CVD risk factors including age, race, body mass index (BMI), smoking, weekly hours of physical activity, systolic (SBP) and diastolic blood pressure (DBP), lipids, glucose, and inflammatory markers were measured at baseline. Linear regression models were used to assess associations of CVD risk factors with CIMT and IM‐GSM. Multivariable models included groups of risk factors added one at a time with and withoutbasic demographic factors (age, race, BMI, physical activity) with modelR2values compared between CIMT and IM‐GSM.ResultsIn multivariable analysis, age, Black race, BMI, SBP, and DBP were associated with CIMT (allP< .05), whereas age, Hispanic race, BMI, SBP, physical activity, LDL‐cholesterol, and leptin were correlates of IM‐GSM (allP< .05). Adjusted for age, race, BMI, and physical activity, theR2value for SBP was greater for CIMT association, whereasR2values for lipids, glucose, inflammatory markers, and adipokines were greater for IM‐GSM associations.ConclusionsCIMT and IM‐GSM assess different attributes of subclinical atherosclerosis. Integrating both measures may provide improved assessment of atherosclerosis in asymptomatic individuals.