Lu Yueh-Chien, Chen Po-Ju, Lu Sheng-Nan, Liang Fu-Wen, Chuang Hung-Yi
Department of Occupational Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
Department of Family Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.
J Epidemiol Glob Health. 2024 Dec;14(4):1569-1578. doi: 10.1007/s44197-024-00308-3. Epub 2024 Sep 30.
To explore the potential of a novel approach to simplify risk assessment by comparing carotid artery velocities with current atherosclerotic cardiovascular disease (ASCVD) risk stratification method using nonlinear measurements.
In this prospective study conducted at a medical center in southern Taiwan from January 1, 2020, to December 31, 2021, 1636 participants aged 40-75 years without prior ASCVD events were enrolled. Carotid flow velocity was obtained through duplex ultrasonography. ASCVD risk was categorized into two groups according to the 2022 USPSTF guidelines for primary prevention. We analyzed associations between flow indices and ASCVD risk using logistic regression and generalized additive models (GAMs).
The end diastolic velocity (EDV) of common carotid artery (CCA) and the peak systolic velocity (PSV) of internal carotid artery (ICA) were inversely and nonlinearly associated with cardiovascular event risk. Multivariate logistic regression analysis with ROC curves revealed that the optimal speed for the EDV of CCA was approximately 23.75 cm/s, and the optimal PSV and EDV of ICA were approximately 81.75 cm/s and 26.75 cm/s, respectively. The GAMs showed U-shaped relationships between elevated ASCVD risk and blood flow velocity in the carotid arteries, with inflection points of approximately 82 cm/s in the PSV of ICA and near 25 cm/s in the EDV of CCA. Both methods revealed similar results.
The EDVs and PSVs of the CCA and ICA are associated with the development of cardiovascular events. Optimal velocity ranges were identified; however, further hemodynamic investigations are warranted.
通过将颈动脉速度与当前使用非线性测量的动脉粥样硬化性心血管疾病(ASCVD)风险分层方法进行比较,探索一种简化风险评估的新方法的潜力。
在台湾南部一家医疗中心于2020年1月1日至2021年12月31日进行的这项前瞻性研究中,纳入了1636名年龄在40 - 75岁且无既往ASCVD事件的参与者。通过双功超声检查获得颈动脉血流速度。根据2022年美国预防服务工作组(USPSTF)的一级预防指南,将ASCVD风险分为两组。我们使用逻辑回归和广义相加模型(GAMs)分析血流指数与ASCVD风险之间的关联。
颈总动脉(CCA)的舒张末期速度(EDV)和颈内动脉(ICA)的收缩期峰值速度(PSV)与心血管事件风险呈非线性负相关。通过ROC曲线的多变量逻辑回归分析显示,CCA的EDV的最佳速度约为23.75 cm/s,ICA的最佳PSV和EDV分别约为81.75 cm/s和26.75 cm/s。GAMs显示ASCVD风险升高与颈动脉血流速度之间呈U形关系,ICA的PSV拐点约为82 cm/s,CCA的EDV拐点接近25 cm/s。两种方法得出了相似的结果。
CCA和ICA的EDV和PSV与心血管事件的发生有关。确定了最佳速度范围;然而,有必要进行进一步的血流动力学研究。