Association of double product and pulse pressure with cardiovascular and all-cause mortality in the LURIC study
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Updated: Dec 6, 2025

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
Published on: February 7, 2014
Babak Yazdani1,2, Marcus E Kleber1,2, Gökhan Yücel1,2
1Fifth Department of Medicine, University Medical Center Mannheim UMM, Mannheim, Germany.
Insights
Pulse pressure (PP) and double product (DP) effectively predict cardiovascular mortality (CVM) in high-risk patients, particularly those with coronary artery disease (CAD) or heart failure (HF). DP independently predicts CVM, while PP
Area of Science:
- Cardiology
- Vascular Health
- Predictive Analytics
Background:
- Systolic blood pressure (SBP), diastolic blood pressure (DBP), and mean arterial pressure (MAP) are established risk factors for cardiovascular mortality (CVM).
- Pulse pressure (PP) serves as an accessible marker of vascular stiffness, and double product (DP) indicates cardiac workload.
- The predictive capabilities of PP and DP for CVM require further investigation in diverse patient cohorts.
Purpose of the Study:
- To evaluate the predictive value of pulse pressure (PP) and double product (DP) for cardiovascular mortality (CVM).
- To compare the predictive performance of PP and DP against traditional markers like SBP and MAP.
- To assess the independent predictive power of PP and DP in a multivariate model, considering factors like age, sex, BMI, diabetes, and eGFR.
Main Methods:
- Analysis of data from the Ludwigshafen Risk and Cardiovascular Health study, a monocentric cohort of 3316 patients undergoing coronary angiography.
- Calculation of hazard ratios (HRs) for CVM associated with increases in SBP, PP, and DP.
- Multivariate regression analysis adjusted for various clinical and demographic factors to determine independent predictors of CVM.
Main Results:
- An increase in SBP or PP by 1 mmHg significantly elevated CVM risk (HRs 1.009 and 1.016, respectively).
- A 100 mmHg/min increase in DP was associated with a 1.010 higher risk of CVM.
- PP and DP demonstrated superior prediction of CVM compared to SBP or MAP in patients with coronary artery disease (CAD) and heart failure (HF).
- In multivariate analysis, DP and heart rate (HR) remained significant predictors of CVM, while PP did not, likely due to widespread antihypertensive treatment.
- PP was associated with age, diabetes, obesity, and impaired renal function.
Conclusions:
- Pulse pressure (PP) and double product (DP) are potent predictors of cardiovascular and all-cause mortality in a population at medium- to high-risk for cardiovascular disease (CVD).
- DP is an independent predictor of both cardiovascular and all-cause mortality, even after multivariate adjustment.
- While PP is associated with various risk factors, its independent predictive value for CVM may be diminished in cohorts with high rates of antihypertensive treatment.
Abstract:
Systolic (SBP) and diastolic blood pressure (DBP) and mean arterial pressure (MAP) are risk factors for cardiovascular mortality (CVM). Pulse pressure (PP) is considered as an easily available marker of vascular stiffness and the double product (DP) as a marker of cardiac workload. Therefore, we have examined the predictive value of PP and DP in the Ludwigshafen Risk and Cardiovascular Health study, a monocentric cohort study of 3316 patients referred to coronary angiography. An increase of SBP or PP by 1mmHg increased the risk of CVM with hazard ratios of 1.009 (95% CI, 1.005-1.012) and 1.016 (1.012-1.020), respectively. Increasing DP by 100 mm Hg/min was associated with a 1.010 (1.007-1.013) higher risk of CVM. In patient subgroups with coronary artery disease (CAD) and heart failure (HF), PP and DP predicted CVM better than SBP or MAP. In a multivariate analysis adjusted for sex, BMI, diabetes, eGFR, hazard ratios for CVM for z-standardized PP, DP, SBP, and HR were 1.20, 1.16, 1.12, and 1.14. After adding age to the multivariate analysis, only DP and HR remained significant. We provide evidence that PP and DP are powerful predictors of CVM and all-cause mortality in a CV medium- to high-risk population, especially in patients with CAD and HF. While DP proved to be an independent predictor of cardiovascular and all-cause mortality also in multivariate analysis, PP was no independent predictor in our cohort with widespread antihypertensive treatment (>85%). PP is associated with age, presence of diabetes, obesity, and impaired renal function.
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