BACKGROUND: Pulse Wave Velocity (PWV) remains the gold-standard method to assess Early Vascular Aging (EVA) defined by arterial stiffness. However, its high cost, time-consuming process, and need for qualified medical staff shows the importance of identifying alternative methods for the EVA evaluation.
OBJECTIVE: In order to simplify the process of assessing patients\' EVA, we recently developed the Early Vascular Aging Ambulatory score (EVAAs), a simple tool to predict the risk of EVA. The aim of the present study was the external validation of EVAAs in an independent population.
METHODS: Eight hundred seventy-nine (46.3% men) patients who were referred to our Hypertension ESH Excellence Center were included in this study. The mean age was 46.43 ± 22.87 years. EVA was evaluated in two different ways. The first assessment included c-f PWV values, whereas the second one included EVAAs without the direct measurement of carotid-femoral PWV.
RESULTS: The null hypothesis was that the prediction of EVA based on EVAAs does not present any statistically significant difference compared to the prediction based on the calculation from c-f PWV. Mean squared error (MSE) was used for the assessment of the null hypothesis, which was found to be 0.40. The results revealed that the EVAAs show the probability of EVA with 0.98 sensitivity and 0.75 specificity. The EVAAs present 95% positive predictive value and 92% negative predictive value.
CONCLUSIONS: Our study revealed that EVAAs could be as reliable as the carotid-femoral PWV to identify patients with EVA. Hence, we hope that EVAAs will be a useful tool in clinical practice.

OBJECTIVE: The obesity rate among middle-aged and young adults in China is increasing annually, and the incidence of cardiovascular diseases is becoming more prevalent in younger populations. However, it has not yet been reported whether obesity is associated with early vascular aging (EVA). This study aims to explore the correlation between obesity and EVA in middle-aged and young adult health check-up populations, providing a reference for the prevention of cardiovascular diseases.
METHODS: A total of 15 464 middle-aged and young adults aged 18-59 who completed brachial-ankle pulse wave velocity (baPWV) test in the Third Xiangya Hospital of Central South University from January to December 2020 were included. Among them, 1 965 individuals with normal blood pressure and no cardiovascular risk factors were selected as the healthy population. The baPWV thresholds for determining EVA in each age group for males and females were calculated based on the baPWV values of the healthy population. The number and percentage of individuals meeting the EVA criteria in the middle-aged and young adult health check-up populations were statistically analyzed by age and gender. The differences in obesity indicators [visceral adiposity index (VAI), body mass index (BMI), waist circumference (WC)] between the EVA and non-EVA groups for males and females were compared. Using EVA as the dependent variable, VAI, BMI, and WC were included as independent variables in a Logistic model to analyze the correlation between each obesity indicator and EVA before and after adjusting for other influencing factors. Furthermore, the correlation between each obesity indicator and EVA in each age group was analyzed.
RESULTS: In the health check-up populations, the detection rate of EVA in different age groups was 1.65%-10.92% for males, and 1.16%-10.50% for females, the detection rate of EVA increased with age in both males and females. Except for the 40-<50 age group, the EVA detection rate was higher in males than in females in all other age groups. Regardless of gender, obesity indicators VAI, BMI, and WC were significantly higher in the EVA group than in the non-EVA group (all P<0.01). Before and after adjusting for other influencing factors, VAI and WC were both correlated with EVA (both P<0.05). BMI was a risk factor for EVA before adjusting for other influencing factors (P<0.01), but after adjustment, the correlation between BMI and EVA was not statistically significant (P=0.05). After adjusting for other influencing factors, the correlation between VAI and EVA was statistically significant in the 18-<40 and 50-<60 age groups (both P<0.05), while the correlation between BMI and WC with EVA was not statistically significant (both P>0.05). In the 40-<50 age group, the correlation between VAI and BMI with EVA was not statistically significant (both P>0.05), but the correlation between WC and EVA was statistically significant (P<0.01).
CONCLUSIONS: VAI is closely related to the occurrence of EVA in middle-aged and young adults aged 18-<40 and 50-<60 years, while WC is closely related to the occurrence of EVA in those aged 40-<50 years.
目的: 中国中青年肥胖率逐年升高，心血管疾病的发生呈年轻化趋势。然而，肥胖是否与早发血管老化(early vascular aging，EVA)相关目前尚未见报道。本研究旨在分析中青年健康体检人群肥胖与EVA的相关性，为心血管疾病的预防提供参考。方法: 纳入2020年1至12月在中南大学湘雅三医院完成臂踝脉搏波传导速度(brachial-ankle pulse wave velocity，baPWV)测量的15 464名18~59岁中青年健康体检者，并选择其中血压正常且无心血管风险因素的1 965名受检者作为健康人群。根据健康人群各年龄段男性和女性的baPWV值，计算得到用于判断各年龄段男性和女性EVA的baPWV界值。按照年龄和性别进行分组，统计中青年健康体检人群中符合EVA标准的人数，并计算所占百分比。分别比较男性/女性EVA组和非EVA组之间肥胖指标[内脏脂肪指数(visceral adiposity index，VAI)、体重指数(body mass index，BMI)、腰围(waist circumference，WC)]的差异。以EVA作为因变量，分别将VAI、BMI、WC作为自变量纳入Logistic模型，分别分析校正其他影响因素前后各肥胖指标与EVA的相关性；并进一步分析各年龄段各肥胖指标与EVA的相关性。结果: 在健康体检人群中，不同年龄组男性EVA检出率1.65%~10.92%，女性EVA检出率1.16%~10.50%；随年龄增加，男性、女性EVA检出率均呈上升趋势；且除40~<50岁年龄组，其他年龄组男性EVA检出率均高于女性。不管是男性或女性，EVA组肥胖指标VAI、BMI、WC均明显高于非EVA组(均P<0.01)。在对其他影响因素进行校正前后，VAI、WC均与EVA相关(均P<0.05)。在未校正其他影响因素时，BMI为EVA的危险因素(P<0.01)，而在校正其他影响因素后，BMI与EVA的相关性不具有统计学意义(P=0.05)。校正其他影响因素后，18~<40岁、50~<60岁年龄组VAI与EVA的相关性均具有统计学意义(均P<0.05)，BMI、WC与EVA的相关性均无统计学意义(均P>0.05)；而在40~<50岁年龄组，VAI、BMI与EVA的相关性均无统计学意义(均P>0.05)，WC与EVA的相关性有统计学意义(P<0.01)。结论: 18~<40岁、50~<60岁中青年人群VAI与EVA的发生密切相关，40~<50岁中青年人群WC与EVA的发生密切相关。.

BACKGROUND: While arterial stiffening is a known risk factor for cardiovascular diseases, it remains unclear whether there is an early vascular aging (EVA) in patients who have experienced acute ischemic stroke (AIS). This systematic review and meta-analysis aims to investigate whether patients with AIS exhibit EVA through pulse wave velocity (PWV) measurements shortly after the stroke onset, shedding light on the relationship between arterial stiffness, hypertension, and stroke.
METHODS: Thirteen case-control studies were included, comparing PWV measurements between AIS patients and non-AIS individuals. A meta-analysis was performed to compare PWV levels, age, blood pressure, and the prevalence of different cardiovascular risk factors among 1711 AIS patients and 1551 controls.
RESULTS: Despite AIS patients showing higher PWV compared to controls (mean difference: 1.72 m/s, 95 % CI: 1.05-2.38, p < 0.001; I2 = 88.3 %), their age did not significantly differ (95 % CI: -0.47-0.94, p = 0.519; I2 = 0 %), suggesting EVA in AIS patients. Moreover, AIS patients exhibited elevated systolic and diastolic blood pressure and had higher odds of smoking, hypertension, diabetes, and male gender compared to controls.
CONCLUSIONS: This study\'s findings underscore the presence of EVA in AIS patients, evident through increased PWV measurements shortly after stroke onset. Notably, smoking, hypertension, and diabetes mellitus emerge as substantial factors contributing to accelerated arterial stiffness within this population.

In today\'s industrialized society food consumption has changed immensely toward heightened red meat intake and use of artificial sweeteners instead of grains and vegetables or sugar, respectively. These dietary changes affect public health in general through an increased incidence of metabolic diseases like diabetes and obesity, with a further elevated risk for cardiorenal complications. Research shows that high red meat intake and artificial sweeteners ingestion can alter the microbial composition and further intestinal wall barrier permeability allowing increased transmission of uremic toxins like p-cresyl sulfate, indoxyl sulfate, trimethylamine n-oxide and phenylacetylglutamine into the blood stream causing an array of pathophysiological effects especially as a strain on the kidneys, since they are responsible for clearing out the toxins. In this review, we address how the burden of the Western diet affects the gut microbiome in altering the microbial composition and increasing the gut permeability for uremic toxins and the detrimental effects thereof on early vascular aging, the kidney per se and the blood-brain barrier, in addition to the potential implications for dietary changes/interventions to preserve the health issues related to chronic diseases in future.

Cardiovascular diseases (CVDs) remain a major global health concern, necessitating advanced risk assessment beyond traditional factors. Early vascular aging (EVA), characterized by accelerated vascular changes, has gained importance in cardiovascular risk assessment.
The EVasCu study in Spain examined 390 healthy participants using noninvasive measurements. A construct of four variables (Pulse Pressure, Pulse Wave Velocity, Glycated Hemoglobin, Advanced Glycation End Products) was used for clustering. K-means clustering with principal component analysis revealed two clusters, healthy vascular aging (HVA) and early vascular aging (EVA). External validation variables included sociodemographic, adiposity, glycemic, inflammatory, lipid profile, vascular, and blood pressure factors.
EVA cluster participants were older and exhibited higher adiposity, poorer glycemic control, dyslipidemia, altered vascular properties, and higher blood pressure. Significant differences were observed for age, smoking status, body mass index, waist circumference, fat percentage, glucose, insulin, C-reactive protein, diabetes prevalence, lipid profiles, arterial stiffness, and blood pressure levels. These findings demonstrate the association between traditional cardiovascular risk factors and EVA.
This study validates a clustering model for EVA and highlights its association with established risk factors. EVA assessment can be integrated into clinical practice, allowing early intervention and personalized cardiovascular risk management.

Arterial stiffness is considered to be an intermediate marker with independent prognostic value. The objective of this study is to assess whether the estimation of arterial stiffness can improve CV risk stratification compared to SCORE in patients at community pharmacies.
Observational prospective epidemiological study in which consecutive individuals entering a participating Community Pharmacy are offered a voluntary measurement of blood pressure and estimation of pulse wave velocity by oscillometry (AGEDIO, IEM®) to stratify their CV risk according to SCORE compared to the use of arterial stiffness.
After nine months of recruitment, data from 923 patients (570 women, 353 men) were collected. 16/122 (13.1%) patients under 40 years and 72/364 (19.8%) over 65 years of age presented pathological stiffness and could be classified as high-risk, even though being out of the age-range of SCORE. Of the 437 (47.3%) patients who were susceptible to calculating SCORE, 42/437 patients (9.6%) presented pathological arterial stiffness. Cholesterol values were available in 281 patients (64.3%). Among them, according to SCORE, only 6 (2.1%) fell into the high-risk category.
More than half of the subjects who randomly enter a community pharmacy had ages that make it impossible to calculate the CV risk by SCORE. Among them, arterial damage was detected in 18.1%. Of the other half, 9.6% presented arterial damage and, therefore, high CV risk, when SCORE only detected it in 2.1%. Therefore, estimating arterial stiffness in community pharmacies markedly improves detection of high CV risk compared to SCORE.

Increased arterial stiffness is related to early vascular aging and is an independent predictor for cardiovascular disease and mortality. Molecular mechanisms underlying increased arterial stiffness are largely unexplored, especially at the proteome level. We aimed to explore the relationship between pulse wave velocity and urinary proteomics. We included 919 apparently healthy (no chronic illnesses) Black and White men and women (equally distributed) between 20 and 30 years from the African-PREDICT study. Capillary electrophoresis time-of-flight mass spectrometry was used to analyze the urinary proteome. We measured the carotid-femoral pulse wave velocity to estimate arterial stiffness. In the total group, pulse wave velocity correlated positively with collagen-derived peptides including collagen types I, II, III, IV, V, and IX and inversely with collagen type XI (adjusted for mean arterial pressure). Regarding noncollagen-derived peptides, pulse wave velocity positively correlated with polymeric immunoglobulin receptor peptides (n = 2) (all q-value ≤0.05). In multivariable adjusted analyses, pulse wave velocity associated positively and independently with seven urinary peptides (collagen type I, n = 5) (all p-value ≤0.05). We found significant positive and independent associations between pulse wave velocity and the collagen type I-derived peptides, suggesting that dysregulation of collagen type I in the extracellular matrix scaffold could lead to early onset of increased arterial stiffness.

The concept of early vascular aging (EVA) represents a potentially beneficial model for future research into the pathophysiological mechanisms underlying the early manifestations of cardiovascular disease. For this reason, the aims of this study were to verify by confirmatory factor analysis the concept of EVA on a single factor based on vascular, clinical and biochemical parameters in a healthy adult population and to develop a statistical model to estimate the EVA index from variables collected in a dataset to classify patients into different cardiovascular risk groups: healthy vascular aging (HVA) and EVA.
The EVasCu study, a cross-sectional study, was based on data obtained from 390 healthy adults. To examine the construct validity of a single-factor model to measure accelerated vascular aging, different models including vascular, clinical and biochemical parameters were examined. In addition, unsupervised clustering techniques (using both K-means and hierarchical methods) were used to identify groups of patients sharing similar characteristics in terms of the analysed variables to classify patients into different cardiovascular risk groups: HVA and EVA.
Our data show that a single-factor model including pulse pressure, glycated hemoglobin A1c, pulse wave velocity and advanced glycation end products shows the best construct validity for the EVA index. The optimal value of the risk groups to separate patients is K = 2 (HVA and EVA).
The EVA index proved to be an adequate model to classify patients into different cardiovascular risk groups, which could be valuable in guiding future preventive and therapeutic interventions.

Background Aneurysm size is an imperfect risk assessment tool for those with thoracic aortic aneurysm (TAA). Assessing arterial age may help TAA risk stratification, as it better reflects aortic health. We sought to evaluate arterial age as a predictor of faster TAA growth, independently of chronological age. Methods and Results We examined 137 patients with TAA. Arterial age was estimated according to validated equations, using patients\' blood pressure and carotid-femoral pulse wave velocity. Aneurysm growth was determined prospectively from available imaging studies. Multivariable linear regression assessed the association of chronological age and arterial age with TAA growth, and multivariable logistic regression assessed associations of chronological and arterial age with the presence of accelerated aneurysm growth (defined as growth>median in the sample). Mean±SD chronological and arterial ages were 62.2±11.3 and 54.2±24.5 years, respectively. Mean baseline TAA size and follow-up time were 45.9±4.0 mm and 4.5±1.9 years, respectively. Median (interquartile range) TAA growth was 0.31 (0.14-0.52) mm/year. Older arterial age (ß±SE for 1 year: 0.004±0.001, P<0.0001) was independently associated with faster TAA growth, while chronological age was not (P=0.083). In logistic regression, each 5-year increase in arterial age was associated with a 23% increase in the odds of accelerated TAA growth (95% CI, 1.085-1.394; P=0.001). Conclusions Arterial age is independently associated with accelerated aneurysm expansion, while chronological age is not. Our results highlight that a noninvasive and inexpensive assessment of arterial age can potentially be useful for TAA risk stratification and disease monitoring as compared with the current clinical standard (chronological age).

Background Early vascular aging (EVA) is associated with higher risk of adverse cardiovascular events and can be estimated noninvasively by assessing arterial hemodynamics. Women with a history of preeclampsia have increased risk of cardiovascular disease, but underlying mechanisms are incompletely understood. We hypothesized that women with a history of preeclampsia display persistent arterial abnormalities and EVA in the postpartum period. Methods and Results We performed a comprehensive, noninvasive arterial hemodynamic evaluation in women with a history of preeclampsia (n=40) and age-matched controls with previous normotensive pregnancies (n=40). We used validated methods integrating applanation tonometry with transthoracic echocardiography to obtain measures of aortic stiffness, steady and pulsatile arterial load, central blood pressure, and arterial wave reflections. Presence of EVA was defined as aortic stiffness higher than that predicted from reference values based on the participant\'s age and blood pressure. The association of preeclampsia with arterial hemodynamic variables was assessed with multivariable linear regression, and the association of severe preeclampsia with EVA was assessed with multivariable logistic regression, adjusted for confounders. We found that women with a history of preeclampsia had greater aortic stiffness, steady arterial load, central blood pressure, and arterial wave reflections when compared with controls. We observed a dose-response relationship, with the greatest abnormalities observed in subgroups with severe, preterm, or recurrent preeclampsia. Women with severe preeclampsia had 9.23 times greater odds of having EVA as compared with controls (95% CI, 1.67-51.06, P=0.011) and 7.87 greater odds of EVA as compared with women with nonsevere preeclampsia (95% CI, 1.29-47.77, P=0.025). Conclusions Our study comprehensively characterizes arterial hemodynamic abnormalities after preeclampsia and suggests that specific subgroups of women with a history of preeclampsia exhibit greater alterations in arterial hemodynamics related to arterial health. Our findings have important implications for understanding potential links between preeclampsia and cardiovascular events, and suggest women with severe, preterm, or recurrent preeclampsia as subgroups who may deserve intensification of efforts for prevention and early detection of cardiovascular disease.