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踝臂指数和颈动脉超声作为冠心病诊断的替代指标。

Ankle-brachial index and carotid ultrasound as surrogates for coronary artery disease diagnosis.

机构信息

Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil.

Santa Casa de Misericórdia de Juiz de Fora, Juiz de Fora, Brazil.

出版信息

J Clin Ultrasound. 2024 Nov-Dec;52(9):1296-1303. doi: 10.1002/jcu.23793. Epub 2024 Aug 27.

Abstract

INTRODUCTION

Cardiovascular disease represents the foremost cause of death among chronic and non-transmissible diseases. Diagnostic tools commonly used for peripheral and carotid atherosclerosis, such as ankle-brachial index (ABI) and carotid ultrasonography (CU), may contribute as surrogates for the diagnosis of coronary arterial disease (CAD).

MATERIAL AND METHODS

We report a cross-sectional study of 50 patients referred to elective invasive coronary angiography (ICA). Patients were submitted to ABI and CU-for carotid intima-media thickness (CIMT) and carotid atherosclerotic plaque screening (CAPS). Clinical and demographic variables were also evaluated. CAD was defined as greater than 50% stenosis in at least one coronary artery.

RESULTS

In logistic regression analysis, only CAPS showed a statistically significant area under the curve (AUC) for CAD prediction: 0.812 (95% CI, p <0.001). ABI and CIMT did not show statistically significant performance. For multivariate logistic regression analysis, the model including variables "gender," "dyslipidemia," "smoking," "pack-years," and CAPS predicted CAD better. The AUC for this model was 0.912 (95% CI, p = 0.002).

CONCLUSION

The screening for carotid atherosclerotic plaques may enhance traditional risk stratification strategies for CAD. Longitudinal studies and bigger samples of subject are needed to allow extrapolation of our findings.

摘要

简介

心血管疾病是慢性非传染性疾病中首要的致死病因。常用于诊断外周动脉和颈动脉粥样硬化的工具,如踝臂指数(ABI)和颈动脉超声(CU),也可作为冠状动脉疾病(CAD)的诊断替代指标。

材料和方法

我们报告了一项对 50 例拟行选择性冠状动脉造影(ICA)的患者进行的横断面研究。患者接受 ABI 和 CU 检查,以筛查颈动脉内膜中层厚度(CIMT)和颈动脉粥样硬化斑块(CAPS)。同时评估了临床和人口统计学变量。CAD 的定义为至少一条冠状动脉存在大于 50%的狭窄。

结果

在逻辑回归分析中,只有 CAPS 对 CAD 预测具有统计学意义的曲线下面积(AUC):0.812(95%置信区间,p<0.001)。ABI 和 CIMT 没有显示出统计学上的显著表现。对于多变量逻辑回归分析,包含变量“性别”、“血脂异常”、“吸烟”、“吸烟年数”和 CAPS 的模型能更好地预测 CAD。该模型的 AUC 为 0.912(95%置信区间,p=0.002)。

结论

筛查颈动脉粥样硬化斑块可以增强 CAD 的传统风险分层策略。需要进行更多的纵向研究和更大的样本量,以推广我们的发现。

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