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Published on: September 27, 2024
Common carotid artery end-diastolic velocity is independently associated with future cardiovascular events
Shao-Yuan Chuang1, Chyi-Huey Bai2, Hao-Ming Cheng3
1Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli County, Taiwan.
Insights
Low end-diastolic velocity (EDV) and peak-systolic velocity (PSV) in the common carotid artery are linked to increased cardiovascular disease (CVD) risk. EDV measurements can improve CVD prediction models.
Area of Science:
- Vascular Ultrasound
- Cardiovascular Epidemiology
- Medical Diagnostics
Background:
- Carotid ultrasound measures hemodynamic parameters like intima-media thickness and blood flow velocities.
- The association between carotid blood flow velocities and cardiovascular events is not fully understood.
Purpose of the Study:
- To investigate the association between common carotid artery blood flow velocities (EDV and PSV) and the risk of cardiovascular disease (CVD).
- To evaluate the predictive capacity of EDV for future CVD events.
Main Methods:
- Quantitative ultrasonography data from 3146 adults were analyzed.
- Cardiovascular events (ischaemic heart disease and stroke) were tracked via insurance claims and death certificates.
- Cox models and reclassification indices were used to assess the relationship between EDV, PSV, and CVD risk.
Main Results:
- Low EDV (<15 cm/s) and PSV (<65 cm/s) were independently associated with increased CVD risk in multivariate analysis.
- Low EDV showed a hazard ratio of 1.66 (95% CI: 1.22-2.26) and low PSV a hazard ratio of 1.39 (95% CI: 1.03-1.89) for CVD.
- EDV significantly improved the prediction of CVD events.
Conclusions:
- Reduced common carotid EDV and PSV are independent predictors of future cardiovascular events.
- EDV measurement enhances the prediction of cardiovascular disease.
- Further research in diverse ethnic groups is recommended to clarify the implications of these findings.
Background:
Carotid ultrasound is widely used to measure haemodynamic parameters, such as intima-media thickness and blood flow velocities (i.e. peak-systolic velocity [PSV], end-diastolic velocity [EDV], and resistive index [RI]). However, the association between blood flow velocities and cardiovascular events remains unclear.
Design And Methods:
Baseline data, including quantitative ultrasonography, were obtained from 3146 adults as part of the Cardiovascular Diseases Risk Factor Two-Township Study. Occurrence of ischaemic heart disease (IHD) and stroke was determined from insurance claims and death certificates. The hazard ratio (HR) of CVD (IHD and stroke combined) was calculated for EDV and PSV of the common carotid artery using Cox models. Net reclassification index and integrated discrimination index were used to evaluate the capacity of EDV to predict IHD, stroke, and CVD.
Results:
Median follow-up was 12.8 years. There were 220 cases of IHD and 247 cases of stroke. The HR (95% CI) for CVD from univariate analysis was 4.54 (3.51-5.85) for EDV <15 cm/s relative to EDV ≥ 20 cm/s (p < 0.0001), and 3.23 (2.51-4.15) for PSV < 65 cm/s relative to PSV ≥ 80 cm/s (p < 0.0001). The HR (95% CI) for CVD from multivariate analysis was 1.66 (1.22-2.26) for EDV < 15 cm/s relative to EDV ≥ 20 cm/s, and 1.39 (1.03-1.89) for PSV < 65 cm/s relative to PSV ≥ 80 cm/s. EDV slightly but significantly improved prediction of CVD (integrated discrimination index 0.56%, p = 0.016).
Conclusions:
Low common carotid EDV and PSV were independently associated with future CVD, and EDV improved the prediction of future CVD. More prospective studies are required in different ethnic groups to understand the significance and implication of these findings.
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