Estimated Pulse Wave Velocity Research Articles

Estimated pulse wave velocity as a forefront indicator of developing metabolic syndrome

Abstract Background The predictive value of estimated pulse wave velocity (ePWV) for the development of metabolic syndrome has not been extensively explored. Purpose This study aims to fill this gap by evaluating ePWV as a potential predictor for the development of metabolic syndrome in middle-aged adults. Methods Using prospective multi-center cohort database, participants aged between 40 and 69 years without metabolic syndrome at baseline were studied (enrolled from June 2001 to January 2003 and provided follow-up information spanning up to 18 years). ePWV was calculated using specific equations based on age and blood pressure. The primary outcome was the incidence of metabolic syndrome during a median follow-up period of 15.6 years (187 months). Results Of the 6,186 participants analyzed, 2,726 (44.1%) developed metabolic syndrome during the follow-up period. ePWV values were categorized into tertiles to assess their predictive value for the development of metabolic syndrome. An ePWV cut-off of 7.407 m/s was identified as a predictor of metabolic syndrome development, with a sensitivity of 0.743 and a specificity of 0.464 (Figure 1). Participants exceeding this cut-off, especially those in the third tertile (8.77–14.63 m/s), had a notably higher risk of developing metabolic syndrome. Specifically, the third tertile exhibited a 52.8% cumulative incidence compared with 30.8% in the first tertile as illustrated by Kaplan–Meier curves (Figure 2). After adjustments, participants exceeding the ePWV cut-off had a 1.425-fold increased independent risk of developing metabolic syndrome (HR, 1.425; 95% confidence interval [CI], 1.281–1.585). Furthermore, those in the third tertile showed an even higher risk with an HR of 1.530 (95% CI, 1.330–1.761) compared to first tertile, even after adjusting for multiple variables. Conclusions ePWV is a significant predictor of the development of metabolic syndrome. This finding underscores the potential of ePWV as a cardiometabolic risk assessment tool and can thus provide useful information for primary and primordial prevention strategies.Figure 1Figure 2

Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease

Abstract Background The estimated pulse wave velocity (ePWV) has emerged as an alternative measurement of arterial stiffness which has been suggested as a potential marker for mortality and cardiovascular risk. Nonetheless, its prognostic significance in critically ill patients with coronary heart disease (CHD) remains uncertain. Methods Patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) were grouped into quartiles according to the ePWV levels. We conducted logistic and Cox regression analyses to examine the association between ePWV and both in-hospital and 1-year all-cause mortality among critically ill patients with CHD. Additionally, we employed restricted cubic spline (RCS) analysis to explore the relationship between ePWV as a continuous variable and mortality. Results A total of 11001 patients (men: 63.6%, age: 71.94 [IQR: 62.69-81.31]) were included in this study. In-hospital mortality and 1-year mortality rates were 9.1% and 25.1%, respectively. Multivariable logistic regression models demonstrated that ePWV was independently associated with an elevated risk of in-hospital mortality (OR 1.27; 95%CI [1.14-1.41]; p<0.001) and 1-year mortality (OR 1.49; 95% CI [1.38-1.60]; p<0.001]. The restricted cubic splines regression model revealed a linear relationship between ePWV and both in-hospital and 1-year mortality (p for non-linearity = 0.098 and p for non-linearity = 0.156, respectively). Conclusion Our findings indicate a linear association between ePWV levels and short- and long-term mortality in critically ill patients with CHD.

Association between estimated pulse wave velocity and the risk of mortality in patients with subarachnoid hemorrhage: a retrospective cohort study based on the MIMIC database

BackgroundThe estimated pulse wave velocity (ePWV) is a recently developed, simple and useful tool to measure arterial stiffness and to predict long-term cardiovascular mortality. However, the association of ePWV with mortality risk in patients with subarachnoid hemorrhage (SAH) is unclear. Herein, this study aims to assess the potential prediction value of ePWV on short- and long-term mortality of SAH patients.MethodsData of adult patients with no traumatic SAH were extracted from the Medical Information Mart for Intensive Care (MIMIC) III and IV database in this retrospective cohort study. Weighted univariate and multivariable Cox regression analyses were used to explore the associations of ePWV levels with 30-day mortality and 1-year mortality in SAH patients. The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). In addition, subgroup analyses of age, the sequential organ failure assessment (SOFA) score, surgery, atrial fibrillation (AF), renal failure (RF), hepatic diseases, chronic obstructive pulmonary disease (COPD), sepsis, hypertension, and diabetes mellitus (DM) were also performed.ResultsAmong 1,481 eligible patients, 339 died within 30 days and 435 died within 1 year. After adjusting for covariates, ePWV ≥ 12.10 was associated with higher risk of both 30-day mortality (HR = 1.77, 95%CI: 1.17–2.67) and 1-year mortality (HR = 1.97, 95%CI: 1.36–2.85), compared to ePWV < 10.12. The receiver operator characteristic (ROC) curves showed that compared to single SOFA score, ePWV combined with SOFA score had a relative superior predictive performance on both 30-day mortality and 1-year mortality, with the area under the curves (AUCs) of 0.740 vs. 0.664 and 0.754 vs. 0.658. This positive relationship between ePWV and mortality risk was also found in age ≥ 65 years old, SOFA score < 2, non-surgery, non-hepatic diseases, non-COPD, non-hypertension, non-DM, and sepsis subgroups.ConclusionBaseline ePWV level may have potential prediction value on short- and long-term mortality in SAH patients. However, the application of ePWV in SAH prognosis needs further clarification.

U-shaped Association Between Weight-Adjusted-Waist Index and Arterial Stiffness Among Adult Hypertensive Patients: A Population-Based Study in the United States.

The weight-adjusted-waist index (WWI) is an innovative measure of obesity that appears to surpass body mass index (BMI) in assessing lean body mass and fat mass. This study aimed to evaluate the relationship between WWI and AS in hypertensive adults in the United States. The study included 9753 adults diagnosed with hypertension from the National Health and Nutrition Examination Survey (NHANES), which spanned the years 2007-2016. WWI was calculated by dividing waist circumference (in cm) by the square root of body weight (in kg), and arterial stiffness (represented by estimated pulse wave velocity [ePWV]) was analyzed as the outcome. Weighted multiple linear regression and smooth curve fitting were used to test for linear and nonlinear associations. Threshold effects were determined using a two-part linear regression model. Additionally, subgroup analyses and interaction tests were conducted to gain a more in-depth understanding of the observed associations. The mean WWI of the participants was 11.32 ± 0.76. After multivariable adjustment, WWI showed a significant nonlinear association with ePWV, with a U-shaped association observed between the two. Specifically, WWI below the threshold of 10.23 was negatively associated with arterial stiffness (β = -0.39, 95% CI: -0.54 to -0.25), while WWI above the threshold of 10.23 was positively associated with arterial stiffness (β = 0.04, 95% CI: 0.01-0.07). To conclude, the present findings imply that maintaining WWI within an optimal range could reduce AS in hypertensive individuals and potentially decrease cardiovascular risk. However, this observation needs to be confirmed in large clinical trials.

The association between arterial stiffness and socioeconomic status: a cross-sectional study using estimated pulse wave velocity

BackgroundThe impact of socioeconomic status (SES) on arterial stiffness remains unclear. This study aimed to explore the association between both personal and household income, as well as education level, and estimated pulse wave velocity (ePWV).MethodsA total of 13,539 participants (mean age 52.9 ± 16.7 years; 57.1% women) from the Korean National Health and Nutrition Survey database were analyzed. For SES variables, information on personal and household income and education level was collected using standardized questionnaires.ResultsThe ePWV did not show significant differences across groups categorized by individual income levels (P = 0.183). However, there was a noticeable trend of decreasing ePWV with increasing household income levels (P < 0.001). Additionally, ePWV demonstrated a significant negative correlation with higher education levels, indicating that ePWV decreased in groups with higher educational attainment (P < 0.001). In multiple linear regression analyses, both household income (β = -0.055; P < 0.001) and education level (β = -0.076; P < 0.001) were negatively associated with ePWV, even after adjusting for potential confounders.ConclusionsLower household income and lower education levels were associated with higher ePWV, providing further evidence of the influence of SES on arterial stiffness.Graphical abstract

Prognostic significance of the estimated pulse wave velocity in critically ill patients with coronary heart disease: analysis from the MIMIC‑IV database.

There are currently no specialized risk-scoring systems for critically ill patients with coronary heart disease (CHD). Arterial stiffness, as measured by estimated pulse wave velocity (ePWV), has emerged as a potential indicator of mortality or adverse cardiovascular events in individuals with CHD. This study aimed to evaluate the association between ePWV and all-cause mortality among critically ill patients with CHD beyond traditional risk scores. This study included 11 001 participants with CHD from the Medical Information Mart for Intensive Care IV, with a one-year follow-up. The primary endpoint was one-year all-cause mortality, and the secondary endpoint was in-hospital mortality. Elevated ePWV was significantly associated with higher risks of in-hospital (OR 1.15, 95% CI 1.12-1.17, p<0.001) and one-year (HR 1.21, 95% CI 1.20-1.23, p<0.001) mortality. These associations remained consistent when adjusted for traditional risk scores and potential confounders. When ePWV was integrated into traditional risk scoring models (OASIS, SOFA score, APSIII, SIRS score, SAPS II, and LODS score), the predictive accuracy (area under the curve: 64.55 to 70.56, 64.32 to 72.51, 72.35 to 75.80, 55.58 to 67.68, 71.27 to 73.53, 67.24 to 73.40, p<0.001) and reclassification (net reclassification index: 0.230, 0.268, 0.257, 0.255, 0.221, 0.254; integrated discrimination improvement: 0.049, 0.072, 0.054, 0.068, 0.037, 0.061, p<0.001) of these models significantly improved for one-year mortality. Similar results were also found for in-hospital mortality. ePWV is a strong independent predictor of both short- and long-term mortality in critically ill patients with CHD. Importantly, integrating ePWV into traditional risk scores significantly boosts the predictive accuracy for one-year and in-hospital all-cause mortality.

Association between Mixed Heavy Metal Exposure and Arterial Stiffness, with Alkaline Phosphatase Identified as a Mediator.

Elevated arterial stiffness has been associated with exposure to heavy metals such as lead (Pb) and cadmium (Cd). However, the collective impact of multiple metals and the underlying mechanisms are not fully elucidated. The purpose of this study was to assess the combined effects of exposure to nine heavy metals on arterial stiffness and explore whether serum alkaline phosphatase (ALP) acts as a mediator in this relationship. In the retrospective analysis, data from 8,700 participants were retrieved from the National Health and Nutrition Examination Survey (NHANES) spanning from 1999 to 2018. Arterial stiffness was measured by estimated pulse wave velocity (ePWV). The cumulative impact of exposure to multiple metals was examined using adaptive elastic-net, environmental risk score, weighted quantile sum regression, and quantile g-computation. Additionally, mediation analysis was conducted to explore the potential mediating role of serum ALP. We found that combined exposure to multiple metals was consistently associated with elevated ePWV, with Ba, Pb, and Sb exhibiting the greatest contributions. Notably, serum ALP partially mediated the associations between individual (Pb, Sb) and mixed metal exposure with ePWV, with mediation proportions at 10.76% for Pb, 18.22% for Sb, and 11.07% for mixed metal exposure. In conclusion, this study demonstrates a clear association between exposure to heavy metals, either individually or in combination, and heightened arterial stiffness. Furthermore, the findings suggest that serum ALP activity may act as a mediator in these relationships.

Association between depression and vascular aging: a comprehensive analysis of predictive value and mortality risks

BackgroundDepression is a significant global health concern, projected to become the leading disease burden. Vascular burden has been implicated in the pathogenesis of depression. Conversely, whether depression independently influences the process of vascular aging is unknown. This study aims to investigate the mutual relationship between vascular age and depression. MethodsUtilizing data from the National Health and Nutrition Examination Survey (NHANES), the study included 27,764 participants after exclusions. Depression was assessed using the Patient Health Questionnaire (PHQ-9). Vascular aging was assessed by estimated pulse wave velocity (ePWV) and the heart age/vascular age (HVA) based on Framingham Risk Score (FRS). The study employed weighted logistic regression and Cox proportional hazards models to analyze the association between vascular age and depression as well as its mortality risk. Mendelian randomization was utilized to explore the causal associations. ResultsIndividuals with depression exhibited a higher risk of an advanced vascular age over their chronological age. Mendelian randomization analysis indicated a causal relationship between depression and arterial stiffness. A significant association was found between vascular age and depression incidence with odds ratios ranging from 1.10 to 1.38. As vascular age increased, the risk of mortality in individuals with depression increased by 22 % and 46 %, respectively. LimitationsThe study design limits the exploration of the dynamic relationship between changes in vascular age and depression due to the single timepoint measurement. ConclusionThis study highlights the bidirectional relationship between depression and vascular age. Vascular age is a significant biomarker for the risk and prognosis of depression, while depression may contribute to vascular aging, which underscores the importance of integrated strategies for managing both vascular health and depression.

Association between the oxidative balance score and estimated pulse wave velocity from the National Health and Nutrition Examination Survey (2005–2018)

BackgroundNo research report has been conducted to investigate the impact of oxidation balance score (OBS) on the estimated pulse wave velocity(ePWV).We aimed to examine the association between OBS and ePWV.MethodWe evaluated data for 13,073 patients from the National Health and Nutrition Examination Survey (NHANES). The exposure variable was OBS. The outcome variables was combination of ePWV and arterial stiffness.ResultsWe observed a significant negative correlation between OBS (Per 1SD increase) and ePWV in the gradually adjusted models. Based on the aforementioned results, a two-piecewise logistic regression adjusted model was subsequently employed to establish the association between OBS and elevated ePWV, and the inflection point was determined as 5. The increased risk of elevated ePWV (OR:0.70; 95%CI:0.51–0.94) gradually decreases with the increase of OBS on the left side of the inflection point; however, when OBS exceeds 5, this decrease in risk of elevated ePWV(OR:1.00; 95%CI:0.96–1.04) is no longer observed (P for log likelihood ratio test = 0.028).ConclusionsThere exists a significant association between OBS and ePWV in the context of American adults. Specifically, OBS exhibits a negative correlation with ePWV; however, when considering an elevated ePWV, a saturation effect is observed in relation to OBS.

Estimated Pulse Wave Velocity Is Associated With a Higher Risk of Dementia in the Health and Retirement Study.

In this paper, we use the Health and Retirement Study (HRS) to examine the relationship between an estimated measure of pulse wave velocity (ePWV) and cognitive impairment with no dementia and dementia, respectively. We modeled the relationship between ePWV and cognitive status in 2006/2008 using data from 8,492 men and women (mean age 68.6 years) controlling for age, blood pressure, sociodemographic, and socioeconomic characteristics (sex, race and ethnicity, education, income, wealth), health behaviors (smoking and physical activity), body mass index (BMI), health status and related medication use (history of cardiovascular disease, diabetes, and stroke), and cerebrovascular disease (CVD)-related biomarkers (C-reactive protein, cystatin-C, hemoglobin A1c, total cholesterol, high-density lipoprotein [HDL] cholesterol). We assess cognitive function with the 27-item Langa-Weir Telephone Interview for Cognitive Status (TICS) scale. ePWV is derived from an equation based on participant age and resting blood pressure. In a model that controlled for the constituent components of ePWV (age, age squared, systolic and diastolic blood pressure), ePWV is associated with increased odds of having cognitive impairment with no dementia (OR = 2.761) and dementia (OR = 6.344) relative to a group with no cognitive impairment or dementia. After controlling for the constituent components of ePWV, sociodemographic and socioeconomic characteristics, health behaviors, BMI, health status and medication use, and CVD-related biomarkers, ePWV remains significantly associated with dementia (OR = 3.969) but not cognitive impairment with no dementia (OR = 1.782). These findings suggest that ePWV may be a novel research tool and biomarker of vascular aging that can be used in large, population-representative studies to examine cognitive aging and dementia risk.

The predictive value of estimated pulse wave velocity (ePWV) combined with BMI for newly diagnosed diabetes

PurposeEstimated pulse wave velocity (ePWV) and body mass index (BMI) are significant predictors of new-onset diabetes. This study aims to evaluate the impact and predictive value of combining ePWV and BMI on the incidence of new-onset diabetes. MethodsA secondary analysis was conducted on a cohort study by Rich Healthcare (China), involving 211,833 eligible participants. Logistic regression analysis identified factors influencing diabetes occurrence, while ROC curve analysis assessed the predictive value of ePWV, BMI, and their combination for new-onset diabetes. ResultsOver a mean follow-up period of 3.12 years, 3,000 men (1.41%) and 1,174 women (0.55%) were diagnosed with diabetes. Logistic regression revealed that BMI, triglycerides, alanine aminotransferase, blood urea nitrogen, creatinine clearance rate, ePWV, and family history of diabetes are high-risk factors for new-onset diabetes. The combination of ePWV and BMI provided a higher area under the ROC curve (0.822) compared to ePWV or BMI alone. ConclusionElevated levels of ePWV and BMI are independent risk factors for new-onset diabetes. Combining these measures enhances predictive accuracy compared to using either indicator alone.

Estimated pulse wave velocity as a forefront indicator of developing metabolic syndrome in Korean adults.

The predictive value of the estimated pulse wave velocity (ePWV) for the development of metabolic syndrome has not yet been extensively explored. This study aimed to fill this gap by evaluating ePWV as a potential predictor of metabolic syndrome development in middle-aged Korean adults. Using prospective data obtained from the Ansan-Ansung cohort database, participants without metabolic syndrome at baseline were studied. ePWV was calculated using specific equations based on age and blood pressure. The primary outcome was the incidence of metabolic syndrome during a median follow-up period of 187 months. Among the 6,186 participants, 2,726 (44.1%) developed metabolic syndrome during the follow-up period. ePWV methvalues were categorized into tertiles to assess their predictive value for the development of metabolic syndrome. An ePWV cut-off of 7.407 m/s was identified as a predictor of metabolic syndrome development, with a sensitivity of 0.743 and a specificity of 0.464. Participants exceeding this cut-off, especially those in the third tertile (8.77-14.63 m/s), had a notably higher risk of developing metabolic syndrome. Specifically, the third tertile exhibited a 52.8% cumulative incidence compared with 30.8% in the first tertile. After adjustments, those in the third tertile faced a 1.530-fold increased risk of metabolic syndrome (95% confidence interval, 1.330-1.761). ePWV is a significant predictor of the development of metabolic syndrome. This finding underscores the potential of ePWV as a cardiometabolic risk assessment tool and can thus provide useful information for primary prevention strategies.

Association of estimated pulse wave velocity with cognitive function in a multiethnic diverse population: The Northern Manhattan Study.

Arterial stiffness is linked to age-related cognitive dysfunction. Estimated pulse wave velocity (ePWV) is associated with cerebrovascular disease. We sought to determine whether ePWV was associated with cognition in a multiethnic population. We included 1257 participants enrolled in a Northern Manhattan Study magnetic resonance imaging MRI-cognitive study (mean age 64±8 years, 61% women, 67% Hispanic, 18% non-Hispanic Black, 15% non-Hispanic white) and analyzed cognitive performance at two time points, at enrollment and on an average 5.0±0.6 years later. ePWV was calculated using baseline age and blood pressure. Cognition and cognitive change scores were regressed on ePWV in multivariable linear regression models. In adjusted models, ePWV (mean 11±2m/s) was significantly associated with cognition (b=-0.100, 95% CI, -0.120, -0.080) and cognitive change over time (b=-0.063, 95% CI, -0.082, -0.045). Effect modification by race and sex was found. In this multiethnic population, the associations of ePWV with cognitive performance underline the role of vascular stiffness in age-related cognitive decline. ePWV is a modest but independent predictor of cognitive function and cognitive decline among older individuals. After adjustment, the ePWV measure was inversely associated with performance and decline in global cognition, processing speed, episodic memory, executive function, and semantic memory. After adjustment, modification of the association between ePWV and change in episodic memory and executive function by race and ethnicity was suggested by a significant interaction term. The association between ePWV and episodic memory decline was stronger in females.

Estimated Pulse Wave Velocity and All-Cause and Cardiovascular Mortality in the General Population.

Background: Carotid-femoral pulse wave velocity (cfPWV), acknowledged as a reliable proxy of arterial stiffness, is an independent predictor of cardiovascular (CV) events. Carotid-femoral PWV is considered the gold standard for the estimation of arterial stiffness. cfPWV is a demanding, time consuming and expensive method, and an estimated PWV (ePWV) has been suggested as an alternative method when cfPWV is not available. Our aim was to analyze the predictive role of ePWV for CV and all-cause mortality in the general population. Methods: In a stratified random sample of 1086 subjects from the general Croatian adult population (EH-UH study) (men 42.4%, average age 53 ± 16), subjects were followed for 17 years. ePWV was calculated using the following formula: ePWV = 9.587 - 0.402 × age + 4.560 × 10-3 × age2 - 2.621 × 10-5 × age2 × MBP + 3.176 × 10-3 × age × MBP - 1.832 × 10-2 × MBP. MBP= (DBP) + 0.4(SBP - DBP). Results: At the end of the follow-up period, there were 228 deaths (CV, stroke, cancer, dementia and degenerative diseases, COLD, and others 43.4%, 10.5%, 28.5%, 5.2%, 3.1%, 9.3%, respectively). In the third ePWV tercile, we observed more deaths due to CV disease than to cancer (20.5% vs. 51.04%). In a Cox regression analysis, for each increase in ePWV of 1 m/s, there was a 14% increase risk for CV death. In the subgroup of subjects with higher CV risk, we found ePWV to be a significant predictor of CV deaths (ePWV (m/s) CI 1.108; p < 0.029; HR 3.03, 95% CI 1.118-8.211). Conclusions: In subjects with high CV risk, ePWV was a significant and independent predictor of CV mortality.

Estimated pulse wave velocity in metabolic dysfunction-associated steatotic liver disease and all-cause/cause-specific mortality.

Several reports show a significant association between metabolic dysfunction-associated steatotic liver disease (MASLD) and arterial stiffness (estimated pulse wave velocity [ePWV]) as a surrogate marker of vascular age. We investigate whether ePWV as arterial stiffness in MASLD is associated with all-cause/cause-specific mortality. This cohort study was based on the third National Health and Nutrition Examination Survey (NHANES, 1988-1994) and NHANES 2007-2014 and linked mortality datasets through 2019. Cox regression models assessed the association between ePWV categorized by quartile and all-cause/cause-specific mortality among individuals with MASLD. During the follow-up of a median of 26.3 years (interquartile range: 19.9-27.9), higher levels of ePWV among individuals with MASLD were associated with increased all-cause mortality, which remained significant after adjusting for demographic, lifestyle, clinical, and metabolic risk factors. Furthermore, higher ePWV in MASLD was associated with higher cardiovascular mortality. There was a 44% (hazard ratio: 1.44, 95% confidence interval: 1.32-1.58) increase in all-cause mortality and a 53% (hazard ratio: 1.53, 95% confidence interval: 1.32-1.77) increase in cardiovascular mortality for every 1 m/s increase in ePWV in MASLD. However, there was no significant association between ePWV and cancer-related mortality. Sensitivity analyses using the NHANES 2007-2014 dataset showed results identical to the original analysis. Higher ePWV in MASLD was associated with a higher risk of all-cause and cardiovascular mortality beyond traditional cardiovascular risk factors. Screening for ePWV in individuals with MASLD may be an effective and beneficial approach to reducing all-cause and cardiovascular mortality.

Associations between estimated glucose disposal rate and arterial stiffness and mortality among US adults with non-alcoholic fatty liver disease.

The estimated glucose disposal rate (eGDR), an effective indicator of insulin resistance, has been related to acute coronary syndrome, ischemic stroke and heart failure. This study aims to explore the relationship between eGDR and arterial stiffness, all-cause mortality and cardiovascular mortality in patients with non-alcoholic fatty liver disease (NAFLD). Participants with NAFLD were chosen from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. The main outcomes are arterial stiffness (represented by estimated pulse wave velocity, ePWV), all-cause and cardiovascular mortality. Multiple cox regression models, restricted cubic spline, sensitivity analysis and subgroup analysis were carried out to investigate the correlation between the insulin resistance indicators and mortality and arterial stiffness. Furthermore, receiver operating characteristic curves were used to compare the predictive value of the eGDR with the triglyceride-glucose (TyG) index and the homeostasis model assessment of insulin resistance (HOMA-IR) for all-cause and cardiovascular mortality. In this study, a total of 4,861 participants were included for analysis. After adjusting confounding factors in the multivariate weighted cox regression model, the eGDR was inversely associated with the all-cause mortality (Q4 vs. Q1, HR =0.65 (0.48-0.89, P=0.01) and cardiovascular mortality (Q4 vs. Q1, HR =0.35 (0.19-0.65, P<0.001). Compared with TyG index and HOMA-IR, the eGDR shows excellent predictive value in all-cause mortality (0.588 vs. 0.550 vs. 0.513, P < 0.001) and cardiovascular mortality (0.625 vs. 0.553 vs. 0.537, P < 0.001). In addition, we found a significant negative correlation between eGDR and arterial stiffness (β=-0.13(-0.14-0.11, P< 0.001). However, TyG index and HOMA-IR showed no significant correlation to arterial stiffness. Low eGDR (an indicator of insulin resistance) levels are related to an increased risk of arterial stiffness and mortality in NAFLD patients in the United States.

Estimated Pulse Wave Velocity as a Novel Non-Invasive Biomarker for Metabolic Syndrome Among People Living with HIV.

This study aims to investigate the relationship between estimated pulse wave velocity (ePWV) and metabolic syndrome (MetS) in people living with HIV (PLWH), proposing a novel and convenient predictor for early detection of MetS in PLWH. A total of 485 PLWH were enrolled. These participants were categorized into two groups based on the estimated pulse wave velocity (ePWV) level. Demographic and clinical data were collected to investigate the correlation between ePWV and MetS. The cohort of 485 PLWH was categorized into high-ePWV and low-ePWV groups based on ePWV cutoff value of 10 m/s. We observed significant differences in components of MetS including triglycerides (TG, P < 0.05), HDL cholesterol (HDL-C, P < 0.01), systolic blood pressure (SBP, P < 0.001), diastolic blood pressure (DBP, P < 0.05), and fasting plasma glucose (FPG, P < 0.001) between the two groups. Furthermore, we employed receiver operating characteristic (ROC) curves to demonstrate the effectiveness of ePWV as a predictive indicator for MetS in PLWH (AUC = 0.739, P < 0.001). According to the ROC curve, the optimal cut-off value of ePWV was 7.4 m/s, and its sensitivity and specificity in diagnosing MetS in PLWH were 79.03% and 64.07%, respectively. Although the 7.4 m/s cutoff increased the false positive rate compared to the traditional cutoff, it significantly reduced the rate of missed diagnoses, effectively identifying 79.03% of PLWH with MetS. ePWV is a non-invasive and convenient novel biomarker with predictive capabilities for MetS in PLWH.

Associations Between Estimated Pulse Wave Velocity and Five-Year All-Cause Mortality in Patients with Atherosclerotic Cardiovascular Disease with and without Standard Modifiable Risk Factors: Evidence From NHANES 1999-2016.

The study aimed to analyze the associations between estimated pulse wave velocity (ePWV) and 5-year mortality in atherosclerotic cardiovascular disease (ASCVD) patients with and without standard modifiable risk factors (SMuRFs), which included smoking status, hypertension, diabetes, and hypercholesterolemia. The present retrospective cohort study utilized data from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2016. Patients with ASCVD who completed both the questionnaire survey and serum testing were included. Patients were categorized into the ≥1 SMuRF group if they had at least one SMuRF, while those without any SMuRFs were classified into the SMuRF-less group. The ePWV, which was calculated using the age and mean blood pressure, was evenly divided into three categories: low (Q1), medium (Q2), and high (Q3). Multivariable weighted Cox proportional-hazard regression analyses were utilized to explore the risk factors associated with 5-year mortality in patients with and without SMuRFs. And restricted cubic spline curve (RCS) was used to assess their nonlinear correlation. A total of 1901 patients with ASCVD were included in the study. For the patients in ≥1 SMuRF group, the Q3 group included patients who were older, with a higher proportion of males, more comorbidities, and a lower body mass index than the Q1 group (P<0.05). The Cox proportional-hazard regression model results revealed, the Q3 group had a higher risk of 5-year mortality than the Q1 group [hazard ratio (HR) 4.30, 95% confidence interval (CI) (2.66, 6.95), P<0.001]. RCS demonstrated a linear trend between high level of ePWV and decreased risks of mortality. Similar results were observed in the SMuRF-less group [HR 10.62, 95% CI (1.22, 92.06), P=0.032]. A high level of ePWV signified a higher risk of 5-year mortality in ASCVD patients with and without SMuRFs.

PREDICTIVITY OF ESTIMATED PULSE WAVE VELOCITY FOR FATAL AND NONFATAL OUTCOMES IN RURAL POPULATION

Objective: Our study assesses the predictive value of arterial stiffness measured by estimated pulse wave velocity (ePWV) for fatal and nonfatal outcomes in general rural adult population. Design and method: This was a prospective observational study (1175 adult subjects) from the ENAH rural project in Croatia. Subjects were followed up for an average of 11.3 (8.3-13.65) years. Mortality data were collected from the National Institute for Public Health, and data for morbidity from the medical records of local physicians. ePWV was calculated using a validated equation. Results: In total, there were 264 deaths (22.5%), and 171 (14.5%) subjects experienced one of the non-fatal outcomes (myocardial infarction, atrial fibrilation, heart failure, stroke, TIA, dialysis). Kaplan Meier analysis (KMa) showed that survival is lower in group with ePWV&gt;10m/s compared with group with ePWV&lt;10m/s (HR=12.8, 95%CI 9.9-16.6, p&lt;0.001) (Figure 1A). Similarly, KMa showed that survival to non-fatal outcome is lower in group with ePWV&gt;10m/s compared to group with ePWV&lt;10m/s (HR=1.50, 95%CI 1.0-2.1, p=0.008), Figure 1B. In the multivariate analysis of predictors for fatal outcome, male gender and ePWV maintained statistical significance in predicting increased risk for death (HR 1.75, 95%CI 1.18-2.61, p=0.006 and HR 1.81, 95%CI 1.08-3.04, p=0.030, respectively). In the multivariate analysis, significance was not confirmed for any predictor for non-fatal outcomes, however, in the multivariate analysis for composite fatal and non-fatal outcome results showed that men were exposed to a greater risk compared to women (HR=1.54; 95%CI 1.14-2.08, p=0.006), and ePWV showed to be a risk factor (HR=1.94, 95%CI 1.50-2.51, p&lt;0.001). Conclusions: ePWV was found to be significant independent predictor for cardiovascular deaths and composite fatal and non-fatal outcomes suggesting that this simple and reliable measure of arterials stiffness could be recommended for clinical work at least in remote rural areas where measurements of arterial stiffness is not feasible.

DIFFERENCES BETWEEN SCORE, FRAMINGHAM RISK SCORE AND ESTIMATED PULSE WAVE VELOCITY-BASED VASCULAR AGE CALCULATION METHODS - DATA FROM THREE GENERATIONS HEALTH PROGRAM IN HUNGARY

Objective: Early vascular ageing contributes to cardiovascular (CV) morbidity and mortality. There are different possibilities to calculate vascular age including methods based on CV risk scores, but different methods might identify different subjects with early vascular ageing. We aimed to compare SCORE and Framingham Risk Score (FRS)-based vascular age calculation methods on subjects that were involved into a national screening program in Hungary. We also aimed to compare the distribution of subjects identified with early vascular ageing based on estimated pulse wave velocity (ePWV). Design and method: The Three Generations for Health program focuses on the development of primary health care in Hungary. One of the key elements of the program is the identification of risk factors of CV diseases. Vascular ages based on SCORE and FRS were calculated based on previous publications and were compared with chronological age and with each other in the total population and in patients with hypertension or diabetes. ePWV was calculated based on a method published previously. Supernormal, normal, and early vascular ageing were defined as &lt;10%, 10-90% and &gt;90% ePWV values of the participants. Results: 99 231 subjects were involved in the study and among them 49 191 patients had hypertension (HT) and 15 921 patients had diabetes (DM). Chronological age of the total population was 54.0 (48.0 – 60-0) years, while SCORE and FRS vascular ages were 59.0 (51.0 – 66.0) and 64.0 (51-80) years, respectively. In HT patients chronological, SCORE and FRS vascular ages were 57.0 (51.0 – 62.0), 63.0 (56.0 – 68.0) and 79.0 (64.0 – 80.0) years, respectively. In DM patients chronological, SCORE and FRS vascular ages were 58.0 (52.0 – 62.0), 63.0 (56.0 – 68.0) and 80.0 (76.0 – 80.0) years, respectively. Based on ePWV, FRS identified patients with elevated vascular age with high sensitivity (97.3%), while in case of SCORE, the sensitivity was much lower (13.3%). Conclusions: In conclusion, different vascular age calculation methods can provide different vascular age results in a population-based cohort. The importance of this finding for the implementation into CV preventive strategies requires further studies.