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Updated: Dec 21, 2025

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
Published on: February 7, 2014
Radial Pulse Wave Signals Combined with Ba-PWV for the Risk Prediction of Hypertension and the Monitoring of Its
Zhen Qi1, Zhi-Yue Zhao2, Jia-Tuo Xu2
1Shanghai Geriatric Institute of Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 365 South Xiangyang Road, Shanghai 200031, China.
Insights
Radial pulse wave signals, specifically the h3/h1 variable, enhance hypertension risk prediction beyond traditional methods. These signals also correlate with metabolic factors, offering a new tool for remote monitoring and management.
Area of Science:
- Cardiovascular Physiology
- Biomedical Engineering
- Preventive Medicine
Background:
- Arterial stiffness, assessed by brachial-ankle pulse wave velocity (Ba-PWV), is a traditional cardiovascular risk factor.
- Radial artery pulse wave signals offer potential for non-invasive cardiovascular risk assessment.
- The association of radial pulse wave signals with hypertension and metabolic risk factors requires further investigation.
Purpose of the Study:
- To evaluate if radial pulse wave signals improve hypertension risk prediction compared to Ba-PWV.
- To assess the association between radial pulse wave signals and metabolic risk factors (FPG, TC, TG, HDL-C, LDL-C, UA).
- To explore the utility of radial pulse wave signals as a supplementary tool for hypertension management.
Main Methods:
- Linear and stepwise regression analysis in 523 Chinese subjects.
- Assessment of radial artery pulse wave signals (e.g., h3/h1, t4, t5, h5) and Ba-PWV.
- Comparison of risk prediction models using Area Under the Curve (AUC), Net Reclassification Improvement (NRI), and Integrated Discrimination Improvement (IDI).
Main Results:
- The radial artery pulse wave variable h3/h1 was identified as a sensitive factor for blood pressure.
- A model incorporating h3/h1 demonstrated significantly improved predictive ability (higher AUC, NRI, IDI) for hypertension risk.
- Decreased t4, t5, and h5 were associated with adverse metabolic profiles (higher FPG, TC, LDL-C, UA; lower HDL-C).
Conclusions:
- Radial pulse wave analysis, particularly the h3/h1 parameter, offers enhanced accuracy in predicting hypertension risk.
- Specific radial pulse wave signal features are linked to key metabolic risk factors, suggesting a broader cardiovascular impact.
- Remote wearable monitoring of radial pulse wave signals presents a promising avenue for hypertension risk evaluation and management.
Abstract:
Our aim was to study whether radial pulse wave signals can improve the risk prediction of incident hypertension and are associated with its concomitant metabolic risk factors beyond the traditional cardiovascular risk factor Ba-PWV. By enrolling 523 Chinese subjects in this study, linear and stepwise regression analysis was performed to assess the association of radial artery pulse wave signals and Ba-PWV with blood pressure and its related metabolic risk factors such as fasting plasma glucose (FPG), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and uric acid (UA). The area under the receiver-operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were calculated by risk assessment plot to compare the discriminative ability among models with and without radial artery pulse wave signals. After adjusting related confounding factors, radial artery pulse wave variable h 3/h 1 was selected as the sensitive influential factor for blood pressure. Moreover, a new model with h 3/h 1 had a higher AUC than the reference model without it (0.86 vs 0.84; P=0.030). And the NRI and IDI for the new model was 50.0% (P=0.017) and 3.16% (P=0.044), respectively. In addition to Ba-PWV, we found that the decrease of t 4, t 5, and h 5 might be associated with higher FPG, TC, LDL-C, and UA and lower HDL-C. This research might provide a valuable additional tool for remote wearable monitoring of radial artery pulse wave signals in hypertension risk evaluation and management.
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