Predictive value of estimated pulse wave velocity with all-cause and cause-specific mortality in the hypertensive population: the National Health and Nutrition Examination Surveys 1999-2014

Association between remnant cholesterol and arterial stiffness: Evidence from NHANES 1999-2018

BACKGROUND AND AIM

Remnant cholesterol (RC), an emerging cardiovascular risk factor, has garnered increasing attention in atherosclerotic cardiovascular disease (ASCVD) research, though its relationship with arterial stiffness remains incompletely understood. This study investigated the association between RC and estimated pulse wave velocity (ePWV), a reliable marker of arterial stiffness, with the goal of enhancing our understanding of RC's role in cardiovascular risk assessment.

METHODS AND RESULTS

This study utilized the National Health and Nutrition Examination Survey (NHANES) data from 1999 to 2018, including 12,505 participants aged 20 years and above. Weighted linear regression, restricted cubic splines (RCS), and subgroup analyses were used to explore the association between RC levels and ePWV. Analysis revealed a significant positive association between RC levels and ePWV, with participants in the highest RC quintile (Q5) exhibiting substantially elevated ePWV compared to those in the lowest quintile (Q1). Notably, RCS analysis demonstrated a non-linear relationship characterized by a saturation effect (p-nonlinear <0.05). Subgroup analyses indicated stronger associations among specific demographic groups, including individuals under 40 years, females, non-Hispanic whites, and those above the poverty level (all interaction p < 0.05). Furthermore, mediation analysis found that various inflammatory markers such as neutrophil count (NEU), neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR) played a mediating role in this association.

CONCLUSION

Increased arterial stiffness is associated with higher RC levels, demonstrating a saturation effect at elevated concentrations. This association is partially mediated by NLR, MLR, and NEU, and was stronger among younger, females, non-Hispanic whites, and non-impoverished individuals.

Estimated pulse wave velocity is associated with all-cause and cardiovascular mortality in individuals with stroke: A national-based prospective cohort study

Extensive evidence underscores the potential of estimated pulse wave velocity (ePWV) as a robust tool for predicting disease prevalence and mortality. However, its comparative effectiveness in forecasting all-cause and cardiovascular disease (CVD) mortality, particularly among stroke populations, remains inadequately characterized in relation to the traditional Framingham Risk Score (FRS) model. This prospective study included 1202 individuals with stroke from the National Health and Nutrition Examination Survey conducted between 1999 and 2014, with comprehensive follow-up data. Survey-weighted Cox regression models were employed to examine the association between ePWV and the risks of all-cause and CVD mortality. Subgroup analyses were performed to evaluate the stability of ePWV in predicting these outcomes. A generalized additive model was utilized to explore the dose-response relationship between ePWV and mortality risk. Receiver operating characteristic curves were then used to assess and compare the prognostic capabilities of ePWV and FRS models for 10-year all-cause and CVD mortality. After adjustment for relevant covariates, each 1 m/s increase in ePWV was associated with a 44% and 65% increase in all-cause and CVD mortality, respectively. ePWV demonstrated consistent prognostic performance across the majority of stroke subpopulations. Notably, ePWV exhibited a nonlinear relationship with all-cause mortality (P for nonlinearity = .045) while maintaining a linear association with CVD mortality (P for nonlinearity = .293). Furthermore, ePWV outperformed the FRS model in predicting 10-year all-cause (Integrated Discrimination Improvement = 0.061, 95% confidence interval: 0.031-0.095, P = .007) and CVD mortality (95% confidence interval: 0.005-0.083, P = .02). ePWV is an independent risk factor for both all-cause and CVD mortality in individuals with stroke, demonstrating superior predictive value compared to the traditional FRS model for forecasting these outcomes.

Correlation analysis of estimated pulse wave velocity and severe abdominal aortic calcification: based on the National Health and Nutrition Examination Survey database

Objective.To investigate how severe abdominal aortic calcification (SAAC) and estimated pulse wave velocity (ePWV) relate to each other and to all-cause and cardiovascular disease (CVD) mortalities.Approach.National Health and Nutrition Examination Survey 2013-2014 data were analyzed. ePWV, computed using age and mean blood pressure, served as an independent variable. Dependent variable SAAC (AAC score >6) was quantified using dual-energy x-ray absorptiometry and Kauppila grading. A weighted logistic regression model, interaction terms, and restricted cubic spline analysis examined relationship between ePWV and SAAC. Kaplan-Meier curves were drawn among SAAC people. A weighted Cox regression model was built to examine associations of ePWV with all-cause and CVD mortalities.Main results.2849 individuals were included. A strong positive connection (odds ratio (OR) > 1,P< 0.05) was seen between ePWV and SAAC risk. Interaction termP-value indicated that only ethnicity (P< 0.05) had an impact on this link but smoking, alcohol use, age, sex, body mass index, or hypertension did not. SAAC patients showed greater ePWV, all-cause and CVD mortalities (P< 0.05) than non-SAAC subjects. Greater ePWV (>12.00 m s-1) was associated with higher risks of all-cause and CVD mortalities in SAAC participants (hazard ratio (HR) > 1,P< 0.05). Significance.This study, for the first time based on the NHANES database, reveals a positive correlation between ePWV and SAAC, and identifies ePWV as an independent predictor of all-cause and cardiovascular mortality risk in patients with SAAC, providing a new biomarker for the prevention and early intervention of cardiovascular diseases.

Estimated Pulse-Wave Velocity and Magnetic Resonance Imaging Markers of Cerebral Small-Vessel Disease in the NOMAS

BACKGROUND

Pulse-wave velocity is a measure of arterial stiffness and a risk factor for cardiovascular disease. Recently, an estimated pulse-wave velocity (ePWV) was introduced that was predictive of increased risk of cardiovascular disease. Our objective was to determine whether ePWV was associated with cerebral small-vessel disease on magnetic resonance imaging.

METHODS AND RESULTS

We included 1257 participants from the NOMAS (Northern Manhattan Study). The ePWV values were calculated using a nonlinear function of age and mean arterial blood pressure. The association between ePWV and white matter hyperintensity volume was assessed. Modification by race and ethnicity was evaluated. Associations between ePWV and other cerebral small-vessel disease markers, covert brain infarcts, cerebral microbleeds, and enlarged perivascular spaces, were explored as secondary outcomes. Mean±SD age of the cohort was 64±8 years; 61% were women; 18% self-identified as non-Hispanic Black, 67% as Hispanic, and 15% as non-Hispanic White individuals. Mean±SD ePWV was 11±2 m/s in the total NOMAS population and was similar across race and ethnic groups. The ePWV was significantly associated with white matter hyperintensity volume (β=0.23 [95% CI, 0.20-0.26]) after adjustment. Race and ethnicity modified the association between ePWV and white matter hyperintensity volume, with stronger associations in Hispanic and non-Hispanic Black individuals. Significant associations were found between ePWV and covert brain infarcts, cerebral microbleeds, and perivascular spaces after adjustment.

CONCLUSIONS

The ePWV function may provide a vascular mechanism for deleterious cerebrovascular outcomes in individuals with cerebral small-vessel disease and is particularly apparent in the racial and ethnic minorities represented in the NOMAS cohort.

Independent association of estimated pulse-wave velocity with all-cause mortality in individuals with type 2 diabetes

BACKGROUND

Estimated pulse-wave velocity (ePWV), a surrogate measure of arterial stiffness, was shown to independently predict morbidity and mortality from cardiovascular disease and other causes in both the general population and high-risk individuals. However, in people with type 2 diabetes, it is unknown whether ePWV adds prognostic information beyond the parameters used for calculating it.

AIMS

To assess the independent association of ePWV with all-cause mortality in individuals with type 2 diabetes.

DESIGN

Prospective cohort study that enrolled 15 773 patients in 19 Italian centres in 2006-08.

METHODS

ePWV was calculated from a regression equation using age and mean blood pressure (BP). All-cause mortality was retrieved for 15 656 patients in 2015.

RESULTS

Percentage and rate of deaths, Kaplan-Meier estimates and unadjusted hazard ratios increased from Quartile I to Quartile IV of ePWV. After adjustment for age, sex, BP levels and anti-hypertensive treatment, the strength of association decreased but mortality risk remained significantly higher for Quartiles II (+34%), III (+82%) and IV (+181%) vs. Quartile I and was virtually unchanged when further adjusting for other cardiovascular risk factors and complications/comorbidities. Each m·s- 1 increase in ePWV was associated with an increased adjusted risk of death in the whole cohort (+53%) and in participants with (+52%) and without (+65%) cardiorenal complications. Moreover, ePWV significantly improved prediction of mortality risk over cardiovascular risk factors and complications/comorbidities, though the net increase was modest.

CONCLUSIONS

These findings suggest that ePWV may represent a simple and inexpensive tool for providing prognostic information beyond traditional cardiovascular risk factors.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT00715481, https://clinicaltrials.gov/ct2/show/NCT00715481.

Heterogeneity of aging and mortality risk among individuals with hypertension: Insights from phenotypic age and phenotypic age acceleration

OBJECTIVES

Hypertension, a key contributor to mortality, is impacted by biological aging. We investigated the relationship between novel biological aging metrics - Phenotypic Age (PA) and Phenotypic Age Acceleration (PAA) - and mortality in individuals with hypertension, exploring the mediating effects of arterial stiffness (estimated Pulse Wave Velocity, ePWV), and Heart/Vascular Age (HVA).

METHODS

Using data from 62,160 National Health and Nutrition Examination Survey (NHANES) participants (1999-2010), we selected 4,228 individuals with hypertension and computed PA, PAA, HVA, and ePWV. Weighted, multivariable Cox regression analysis yielded Hazard Ratios (HRs) relating PA, PAA to mortality, and mediation roles of ePWV, PAA, HVA were evaluated. Mendelian randomization (MR) analysis was employed to investigate causality between genetically inferred PAA and hypertension.

RESULTS

Over a 12-year median follow-up, PA and PAA were tied to increased mortality risks in individuals with hypertension. All-cause mortality hazard ratios per 10-year PA and PAA increments were 1.96 (95% CI, 1.81-2.11) and 1.67 (95% CI, 1.52-1.85), respectively. Cardiovascular mortality HRs were 2.32 (95% CI, 1.97-2.73) and 1.93 (95% CI, 1.65-2.26) for PA and PAA, respectively. ePWV, PAA, and HVA mediated 42%, 30.3%, and 6.9% of PA's impact on mortality, respectively. Mendelian randomization highlighted a causal link between PAA genetics and hypertension (OR = 1.002; 95% CI, 1.000-1.003).

CONCLUSION

PA and PAA, enhancing cardiovascular risk scores by integrating diverse biomarkers, offer vital insights for aging and mortality evaluation in individuals with hypertension, suggesting avenues for intensified aging mitigation and cardiovascular issue prevention. Validations in varied populations and explorations of underlying mechanisms are warranted.