ArticleInternational journal of cardiology2016
Prognostic significance of mechanical biomarkers derived from pulse wave analysis for predicting long-term cardiovascular mortality in two population-based cohorts.
Article in International journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- The modified arterial reservoir: An update with consideration of asymptotic pressure (Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2020Pooled it
- Reservoir-excess pressure parameters are independently associated with NT-proBNP in older adults.ESC heart failure · 2024Article
- Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network.Physical and engineering sciences in medicine · 2024Article
- Appraisal of Cardiovascular Risk Factors, Biomarkers, and Ocular Imaging in Cardiovascular Risk Prediction.Current cardiology reviews · 2023Review
- Increased Excess Pressure After Creation of an Arteriovenous Fistula in End-Stage Renal Disease.American journal of hypertension · 2022Article
- Physiological and clinical insights from reservoir-excess pressure analysis.Journal of human hypertension · 2021Review
- Reservoir-Excess Pressure Parameters Independently Predict Cardiovascular Events in Individuals With Type 2 Diabetes.Hypertension (Dallas, Tex. : 1979) · 2021Article
- Brachial-cuff excess pressure is associated with carotid intima-media thickness among Australian children: a cross-sectional population study.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Article
- Intrinsic Frequencies of Carotid Pressure Waveforms Predict Heart Failure Events: The Framingham Heart Study.Hypertension (Dallas, Tex. : 1979) · 2021Article
- PTC1 and PTC2: New Indices of Blood Pressure Waveforms and Cardiovascular Disease.American journal of epidemiology · 2020Article
- Windkessel Measures Derived From Pressure Waveforms Only: The Framingham Heart Study.Journal of the American Heart Association · 2019Article
- Prognostic Value of Carotid and Radial Artery Reservoir-Wave Parameters in End-Stage Renal Disease.Journal of the American Heart Association · 2019Article
- Non-invasive measurement of reservoir pressure parameters from brachial-cuff blood pressure waveforms.Journal of clinical hypertension (Greenwich, Conn.) · 2018Article
- Value of Excess Pressure Integral for Predicting 15-Year All-Cause and Cardiovascular Mortalities in End-Stage Renal Disease Patients.Journal of the American Heart Association · 2017Article
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Authors and funding
15 authors at 11 institutions in 2 countries.
Funding
Abstract
backgroundNumerous mechanical biomarkers derived from pulse wave analysis (PWA) have been proposed to predict cardiovascular outcomes. However, whether these biomarkers carry independent prognostic value and clinical utility beyond traditional cardiovascular risk factors hasn't been systematically evaluated. We aimed to investigate the additive utility of PWA-derived biomarkers in two independent population-based cohorts.
methodsPWA on central arterial pressure waveforms obtained from subjects without a prior history of cardiovascular diseases of two studies was conducted based on the wave transmission and reservoir-wave theory: firstly in the Kinmen study (1272 individuals, a median follow-up of 19.8years); and then in the Cardiovascular Disease Risk Factors Two-Township Study (2221 individuals, median follow-up of 10years). The incremental value of the biomarkers was evaluated by net reclassification index (NRI).
resultsIn multivariate Cox analyses accounting for age, gender, body mass index, systolic blood pressure, fasting glucose, high-density- and low-density-lipoprotein cholesterol, and smoking, only systolic (SC) and diastolic rate constant (DC) of reservoir pressure could independently and consistently predict cardiovascular mortality in both cohorts and the combined cohort (SC: hazard ratio 1.18 [95% confidence interval 1.08-1.28, p<0.001; DC: 1.18 [1.09-1.28], p<0.001]. Risk prediction estimates in traditional risk prediction models were significantly more accurate when incorporating peak of reservoir pressure (NRI=0.049, p=0.0361), SC (NRI=0.043, p=0.0236) and DC (NRI=0.054, p=0.047).
conclusionsOf all PWA-derived biomarkers, SC and DC were consistently identified as valuable parameters for incremental cardiovascular risk prediction in two large prospective cohorts.
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