Risk Of Arterial Stiffness Research Articles

Abstract 4125511: L-shaped association of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and arterial stiffness: a cross-sectional study

Background: Serum lipids and ratios are known to be associated with cardiovascular disease (CVD). However, studies on NHHR and the association with arterial stiffness in the US population have not been reported. We sought to investigate the relationship between NHHR and arterial stiffness by arterial stiffness in subjects from the US population assessed by ePWV. Methods: This study included 23, 456 adults from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. Multivariate linear regression analysis, threshold effects, smooth curve fitting, and subgroup analysis. We aimed to elucidate the relationship between NHHR and risk of arterial stiffness. Results: The mean age of the population in this study was 49.56 ± 17.58 yrs. The mean NHHR was 2.97 ± 1.48, and in the fully adjusted model, a negative correlation was observed between NHHR and ePWV scores (β = -0.01, 95% CI: -0.02, -0.00), with the highest tertile of the NHHR having a mean ePWV score that was 0.06 units lower than the lowest quartile of the NHHR by 0.06 units (β = -0.06, 95% CI: -0.09, -0.02; P for trend = 0.0068). An L-shaped relationship between NHHR and ePWV scores was found by using smoothed curve fitting. The cutoff value was 2.13, and in the hypertensive population, the cutoff value was 1.93. Conclusions: There is an L-shaped association between NHHR levels and atherosclerosis in adults in the United States, and controlling NHHR is clinically important for reducing the risk of developing atherosclerosis.

Association between body shape index and arterial stiffness: results of the EVasCu study and a meta-analysis.

The aim of this study was to analyse the association between body shape index (ABSI) and arterial stiffness in healthy subjects using data from the EVasCu study. In addition, a meta-analysis was performed to compare the association between ABSI and central, peripheral and systemic arterial stiffness in the general population. The EVasCu study included 390 healthy subjects. ABSI was calculated from waist circumference, body mass index and height, and arterial stiffness was assessed with aortic pulse wave velocity (a-PWv) and cardio-ankle vascular index (CAVI). A meta-analysis of previous studies, including data from the EVasCu study, was performed to obtain pooled estimates of correlation coefficients (r) and their respective 95% confidence intervals (95% CIs) for the association between ABSI and central, peripheral and systemic arterial stiffness. In addition, pooled OR estimates and their 95% CIs were calculated. In the EVasCu study, the correlation coefficient estimate was 0.458 (p < 0.01) for the association of a-PWv and ABSI and 0.408 (p < 0.01) for the association of CAVI and ABSI. In the meta-analysis, the pooled correlation coefficient estimate was 0.22 (95% CIs: 0.16, 0.28) for central arterial stiffness and ABSI, 0.21 (95% CIs: 0.14, 0.28) for peripheral arterial stiffness and ABSI, and 0.28 (95% CI: 0.21, 0.3) for systemic arterial stiffness and ABSI. When pooled ORs were calculated, the pooled OR estimate was 2.12 (95% CIs: 1.68, 2.56) for central arterial stiffness and ABSI, 2.21 (95% CIs: 1.81, 2.60) for peripheral arterial stiffness and ABSI, and 2.99 (95% CIs: 2.14, 3.85) for systemic arterial stiffness and ABSI. Based on both the results obtained in the EVasCu study and the meta-analysis, there is a positive association between ABSI and arterial stiffness, both in healthy subjects and in participants with comorbidities. For each unit of cm/kg/m²/m increase in ABSI, the risk of arterial stiffness increased by 112% for central arterial stiffness, 121% for peripheral arterial stiffness, and 199% for systemic arterial stiffness. However, further research is needed in this field of knowledge.

Plasma Lipidomic Profiles Improve upon Traditional Risk Factors for the Prediction of Arterial Stiffness Among Patients with Type 2 Diabetes Mellitum: A Randomized, Placebo-Controlled Trial.

Exercise or vitamin D intervention can reduce the risk of arterial stiffness; however, the underlying mechanisms of lipid metabolism remain unexplored. To examine the effects of a 12-week moderate and vigorous exercise program (65-80% maximal heart rate, 60 min/time, 2~3 times/week) with or without vitamin D supplementation (1000 IU/day) on the reduction in arterial stiffness and further explore whether the effects of interventions could be associated with the basal lipidome among patients with Type 2 diabetes mellitum (T2DM). 61 patients with T2DM were randomly assigned to the following groups: control (CON, n = 15), exercise (EX, n = 14), vitamin D (VD, n = 16), and exercise + vitamin D (EX + VD, n = 16). Arterial stiffness risk factors (ankle-brachial index (ABI); brachial-ankle pulse wave velocity (baPWV), systolic blood pressure (SBP), and diastolic blood pressure (DBP)) were evaluated before and after the intervention. The plasma lipidome was determined using ultra-performance liquid chromatography coupled with tandem mass spectrometry. Machine learning was applied to establish prediction models for the responsiveness to arterial stiffness. Vitamin D supplementation could inhibit the decrease in the ankle-brachial index (mean ± SD: EX + VD and VD, -0.001 ± 0.058; EX + CON, -0.047 ± -0.089; p = 0.03). We observed high inter-individual variability in the arterial stiffness risk factors in response to the interventions. We also found that optimally selecting the lipid predictors at baseline, such as SM d44:6, LPE 18:2, and Hex2Cer 29:0, could enhance the predictive power by 100% for arm SBP changes in the exercise group. Basal levels of Cer (33:1) and GM3 (44:4) could enhance the predictive power by 100% for changes in baPWV in the vitamin D group. A 12-week vitamin D supplementation was beneficial in preventing arterial stiffness. Compared with traditional clinical risk factors, specific lipids at baseline could significantly improve the ability to predict intervention-induced changes in the reduction of arterial stiffness.

Association between sleep regularity and arterial stiffness among middle-age adults in Southwestern China

BackgroundSleep regularity has been linked to a risk of arterial stiffness (AS). However, the association between sleep regularity indicators, which reflect 24-hour sleep variability, and AS has not yet been examined.MethodsWe analyzed data from 516 adults, aged 40–65 years (the median age of 51 years), from the ‘Follow-up Study of Sleep Characteristics and Chronic Diseases in the Middle-aged and Elderly Population in Guizhou Province’. Participants underwent assessments of AS (OMRON HBP-8000, baPWV ≥ 1400 cm/s) and sleep (wrist smart band (Honor band 5i) for ≥ 7 days). Logistic regression was utilized to evaluate the odds ratio (OR) and 95% confidence interval (CI) of the association between sleep regularity and AS.ResultsA total of 516 people were included in this study, of which 279 (54.07%) were in the AS group. The univariate results showed that the AS group (Median 71.18) had lower SRI compared to the No-AS group (Median 75.00) (p < 0.001). The multifactorial results showed participants with higher SRI scores were more likely to have a lower risk of AS compared to those with lower SRI scores (ORQ4 VS. Q1=0.46, 95%CI: 0.25–0.85, p = 0.013). The SRI effect was more pronounced in male (ORQ4 VS. Q1=0.28, 95%CI: 0.12–0.69, p = 0.005), snoring populations (ORQ4 VS. Q1=0.13, 95%CI: 0.04–0.48, p = 0.002), and non-retired populations (ORQ4 VS. Q1=0.45, 95%CI: 0.22–0.92, p = 0.028).ConclusionsThe present findings indicated that the effect between SRI and AS may be more sensitive than the standard deviation of sleep duration as well as the standard deviation of sleep onset.

Chinese visceral adipose index is more closely associated with risk of arterial stiffness than traditional obesity indicators: a cohort study

BackgroundThe Chinese visceral adiposity index (CVAI) is a new index to evaluate visceral adipose tissue in the Chinese population. Arterial stiffness (AS) is a kind of degeneration of the large arteries, and obesity is an essential contributing factor to AS. Our study aimed to explore the longitudinal association between CVAI and the risk of AS and to compare the predictive power of CVAI, body mass index (BMI), and waist circumference (WC) for AS.MethodsBetween 2010 and 2020, a total of 14,877 participants participating in at least two brachial-ankle pulse wave velocity (baPWV) measurements from the Kailuan study were included. The Cox proportional hazard regression models were performed to evaluate the longitudinal association between CVAI and the risk of AS. The area under the receiver operating characteristic (ROC) curve was calculated to compare the predictive power of CVAI, BMI, and WC for AS.ResultsAfter adjusting for potential confounding factors, CVAI was significantly associated with the risk of AS. Compared with the first CVAI quartile, the hazard ratios (HR) and 95% CI of the second, third, and fourth quartiles were 1.30 (1.09–1.56), 1.37 (1.15–1.63), and 1.49 (1.24–1.78), respectively. The area under ROC curve of CVAI was 0.661, significantly higher than BMI (AUC: 0.582) and WC (AUC: 0.606).ConclusionCVAI may be a reliable indicator to identify high-risk groups of AS in the Chinese general population, and the predictive power of CVAI for AS was better than BMI and WC.

Water-pipe Tobacco Components and their Association with Oxidative Stress.

Oxidative stress (OS) results from an imbalance between the formation and detoxification of reactive species. Although reactive species at low or moderate levels play numerous physiological roles, high concentrations can lead to disturbances in signaling and metabolic pathways and cause different metabolic, chronic, and age-related disorders. Several endogenous and exogenous processes may lead to the formation of reactive species. The severity of OS can be reduced with the help of antioxidants. Tobacco is one of the most important environmental factors contributing to reactive species production. After cigarette smoking, water-pipe tobacco (WPT) smoking is ranked as the second most popular tobacco product. Its popularity is proliferating due to flavored products, social acceptability, etc. However, studies have shown that WPT smoking is associated with an increased risk of arterial stiffness, ischemic heart disease, and several cancer types. In this study, we aimed to review the most recent evidence on WPT smoking constituents and their association with OS.

Health outcomes of electronic cigarettes.

The usage of electronic cigarettes (e-cigarettes) sparked an outbreak of unidentified vaping-related lung disease in the US during late 2019. With e-cigarettes becoming more and more popular, smokers have more options other than conventional cigarettes. Under these circumstances, a comprehensive evaluation of the general safety of new tobacco and tobacco-related products, represented by e-cigarettes, to human health is necessary. In this review, we summarize the current research on potential negative impacts of e-cigarette exposure on human health. In particular, studies detailing the relationship between e-cigarettes and the digestive system are summarized, with mechanisms mainly including hepatic metabolic dysfunction, impaired gut barrier, and worsened outcomes of inflammatory bowel disease (IBD). Although believed to be safer than traditional cigarettes, e-cigarettes exert adverse effects on systemic health and induce the development of multiple diseases containing asthma, cardiovascular disease, and IBD. Moreover, nicotine-containing e-cigarettes have a negative impact on the childhood development and increase the risk of arterial stiffness compared to the non-nicotine e-cigarettes. However, non-nicotine e-cigarette components have detrimental effects including promoting liver damage and metabolic disorders.

Urinary Equol and Equol-Predicting Microbial Species Are Favorably Associated With Cardiometabolic Risk Markers in Chinese Adults.

The association between soy isoflavones intake and cardiometabolic health remains inconclusive. We investigated the associations of urinary biomarkers of isoflavones including daidzein, glycitein, genistein, equol (a gut microbial metabolite of daidzein), and equol-predicting microbial species with cardiometabolic risk markers. In a 1-year study of 305 Chinese community-dwelling adults aged ≥18 years, urinary isoflavones, fecal microbiota, blood pressure, blood glucose and lipids, and anthropometric data were measured twice, 1 year apart. Brachial-ankle pulse wave velocity was also measured after 1 year. A linear mixed-effects model was used to analyze repeated measurements. Logistic regression was used to calculate the adjusted odds ratio (aOR) and 95% CI for the associations for arterial stiffness. Each 1 μg/g creatinine increase in urinary equol concentrations was associated with 1.47%, 0.96%, and 3.32% decrease in triglycerides, plasma atherogenic index, and metabolic syndrome score, respectively (all P<0.05), and 0.61% increase in high-density lipoprotein cholesterol (P=0.025). Urinary equol was also associated with lower risk of arterial stiffness (aOR, 0.28 [95% CI, 0.09-0.90]; Ptrend=0.036). We identified 21 bacterial genera whose relative abundance was positively associated with urinary equol (false discovery rate-corrected P<0.05) and constructed a microbial species score to reflect the overall equol-predicting capacity. This score (per 1-point increase) was inversely associated with triglycerides (percentage difference=-1.48%), plasma atherogenic index (percentage difference=-0.85%), and the risk of arterial stiffness (aOR, 0.27 [95% CI, 0.08-0.88]; all P<0.05). Our findings suggest that urinary equol and equol-predicting microbial species may improve cardiometabolic risk parameters in Chinese adults.

Smoking, Alcohol Consumption, and Risk of Arterial Stiffness: A Two-Sample Mendelian Randomization Study.

While observational studies have demonstrated connections between cigarette smoking, alcohol consumption, and arterial stiffness, establishing a causal relationship has proven challenging because of potential confounding factors. To address this problem, we employed a two-sample Mendelian randomization approach. We selected genetic instruments for these risk factors from genome-wide association studies encompassing 3,383,199 individuals at the genome-wide significance level (p 5 ). Arterial stiffness data were acquired from the UK Biobank, which included 127,121 participants. Our primary analysis utilized the inverse variance-weighted method to explore causality. To confirm our results' robustness, we conducted sensitivity analyses using Egger regression, the weighted median method, and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO). Our analysis revealed a significant association between genetic inclination to smoking initiation and an increase in the arterial stiffness index ( = 0.11; 95% confidence interval [CI], 0.06 to 0.16; p = 1.95 ). Additionally, there was a suggestive connection between genetically predicted number of cigarettes per day and the arterial stiffness index ( = 0.05; 95% CI, 5.25 to 0.10; p = 4.75 ). No causal relationships were observed between the genetically predicted age of smoking initiation, smoking cessation, or alcohol consumption and the risk of arterial stiffness index. This Mendelian randomization study indicates that smoking initiation is likely a causative risk factor for arterial stiffness. However, further research is needed to determine if the quantity of daily cigarettes directly contributes to arterial stiffness development. Regarding alcohol consumption, age of smoking initiation, and smoking cessation, there was insufficient evidence to establish causality.

Association between A/G ratio and arterial stiffness among Chinese type 2 diabetics: A cross-sectional study

BackgroundThe android-to-gynoid fat ratio (A/G ratio), an emerging indicator of obesity independent of body mass index (BMI), has yet to be conclusively associated with arterial stiffness in type 2 diabetes mellitus (T2DM). This study aimed to construct a nomogram to estimate arterial stiffness risk in diabetics and explore the interaction effect between A/G ratio and traditional obesity indicators on arterial stiffness. Methods1313 diabetics were divided into 2 groups based on arterial stiffness identified by brachial ankle pulse wave velocity (baPWV), and demographic and clinical features were measured. The LASSO and multivariate logistics regression were used to develop the nomogram. Calibration curve, decision curve analysis (DCA) and receiver operating characteristic (ROC) were applied to assess calibration and clinical usefulness. Interaction effect analysis was performed to quantify the interactive relationship of A/G ratio and obesity indicators on arterial stiffness. Results6 independent predictors (age, gender, A/G ratio, SBP, LDL-C and HbA1C) were screened to construct a nomogram prediction model. The calibration curve demonstrated satisfactory agreement between predicted and actual probability, and the nomogram exhibited clinical beneficial at the threshold between 8 % and 95 % indicated by DCA. The area under curve (AUC) was 0.918 and 0.833 for training and external set, respectively. Further investigation revealed A/G ratio and BMI acted positively synergistically towards arterial stiffness, and in BMI-based subgroup analysis, elevated A/G ratio was a significant risk factor for arterial stiffness, especially in normal BMI. ConclusionsA/G ratio showed a substantial association with arterial stiffness, and the nomogram, incorporating age, gender, A/G ratio, SBP, LDL-C, and HbA1c, exhibited high predictive value. A/G ratio measurement in BMI-normal individuals assisted in identifying cardiovascular diseases early.

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.

High Urine Albumin-to-Creatinine Ratio is Associated with Increased Arterial Stiffness in Diabetes: A Chinese Cross-Sectional Study.

Elevated urine albumin-to-creatinine ratio (UACR) is an established risk factor for microvascular disease in the general population. However, it is unclear whether UACR is associated with arterial stiffness in diabetes. We aimed to assess the relationship between UACR levels and the risk of arterial stiffness in patients with diabetes. From July 2021 to February 2023, a total of 1039 participants were assessed for the risk of arterial stiffness, which was evaluated by brachial-ankle pulse wave velocity (baPWV). The value of UACR≥30 mg/g was defined as high UACR. The UACR level had an abnormal distribution and was log2-transformed for analyses to reduce skewness and volatility. High baPWV was evaluated as categorical variables divided by the highest quartile of the values by sex. The relationship between UACR and arterial stiffness was analyzed by linear curve fitting analyses. Multiple logistic regression models were used to analyze the crude and adjusted odds ratio (OR) of UACR for high baPWV with 95% confidence interval (CI). In addition to applying non-adjusted and multivariate-adjusted models, interaction and stratified analyses were also carried out. The baPWV level was significantly higher in the high UACR group compared with that in the normal UACR group (1861.84 ± 439.12 cm/s vs 1723.13 ± 399.63 cm/s, p<0.001). Adjusted smoothed plots suggested that there are linear relationships between log2-transformed UACR and high baPWV, and Spearman correlation coefficient was 0.226 (0.176-0.276, p<0.001). The OR (95% CI) between log2-transformed UACR and high baPWV were 1.26 (1.19-1.33, p<0.001), and 1.16 (1.08-1.25, p<0.001) respectively in diabetic patients before and after adjusting for potential confounders. The elevated UACR was associated with arterial stiffness in Chinese patients with diabetes.

Dose-response associations of triglyceride to high-density lipoprotein cholesterol ratio and triglyceride-glucose index with arterial stiffness risk.

The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride-glucose (TyG) index are novel indexes for insulin resistance (IR). We aimed to evaluate associations of TG/HDL-C and TyG with arterial stiffness risk. We enrolled 1979 participants from the Rural Chinese Cohort Study, examining arterial stiffness by brachial-ankle pulse wave velocity (baPWV). Logistic and linear regression models were employed to calculate effect estimates. For meta-analysis, we searched relevant articles from PubMed, Embase and Web of Science up to August 26, 2023. The fixed-effects or random-effects models were used to calculate the pooled estimates. We evaluated dose-response associations using restricted cubic splines. For cross-sectional studies, the adjusted ORs (95%CIs) for arterial stiffness were 1.12 (1.01-1.23) and 1.78 (1.38-2.30) for per 1 unit increment in TG/HDL-C and TyG. In the meta-analysis, the pooled ORs (95% CIs) were 1.26 (1.14-1.39) and 1.57 (1.36-1.82) for per 1 unit increment of TG/HDL-C and TyG. Additionally, both TG/HDL-C and TyG were positively related to PWV, with β of 0.09 (95% CI 0.04-0.14) and 0.57 (95% CI 0.35-0.78) m/s. We also found linear associations of TG/HDL-C and TyG with arterial stiffness risk. High TG/HDL-C and TyG were related to increased arterial stiffness risk, indicating TG/HDL-C and TyG may be convincing predictors of arterial stiffness.

Serum metabolome perturbation in relation to noise exposure: Exploring the potential role of serum metabolites in noise-induced arterial stiffness

Noise pollution has grown to be a major public health issue worldwide. We sought to profile serum metabolite expression changes related to occupational noise exposure by untargeted metabolomics, as well as to evaluate the potential roles of serum metabolites in occupational noise-associated arterial stiffness (AS). Our study involved 30 noise-exposed industrial personnel (Lipo group) and 30 noise-free controls (Blank group). The untargeted metabolomic analysis was performed by employing a UPLC-HRMS. The associations of occupational noise and significant differential metabolites (between Blank/Lipo groups) with AS were evaluated using multivariable-adjusted generalized linear models. We performed the least absolute shrinkage and selection operator regression analysis to further screen for AS's risk metabolites. We explored 177 metabolites across 21 categories significantly differentially expressed between Blank/Lipo groups, and these metabolites were enriched in 20 metabolic pathways. Moreover, 15 metabolites in 4 classes (including food, glycerophosphocholine, sphingomyelin [SM] and triacylglycerols [TAG]) were adversely associated with AS (all P < 0.05). Meanwhile, five metabolites (homostachydrine, phosphatidylcholine (PC) (32:1e), PC (38:6p), SM (d41:2) and TAG (45:1) have been proven to be useful predictors of AS prevalence. However, none of these 15 metabolites were found to have a mediating influence on occupational noise-induced AS. Our study reveals specific metabolic changes caused by occupational noise exposure, and several metabolites may have protective effects on AS. However, the roles of serum metabolites in noise-AS association remain to be validated in future studies.

Arterial stiffness progression in metabolic dysfunction–associated fatty liver disease subtypes: A prospective cohort study

Background and aimsWe aimed to investigate the correlation and to explore which MAFLD subtypes have the greatest influence on progression of arterial stiffness risk. Methods and resultsUsing data from a health examination-based cohort, a total of 12,129 participants who underwent two repeated health examinations that included brachial-ankle pulse wave velocity (baPWV) from 2012 to 2020 were enrolled. Participants were separated into non–MAFLD, overweight/obese (OW–MAFLD), lean/normal weight (lean–MAFLD) and diabetes (DM–MAFLD) groups. Among the participants with a median follow–up of 2.17 years, 4511 (37.2%) participants had MAFLD at baseline, among which 3954 (87.7%), 123 (2.7%), and 434 (9.6%) were OW–, lean– and DM–MAFLD, respectively. Analyses using linear regression models confirmed that compared with the non–MAFLD group, the elevated baPWV change rates (cm/s/year) were 12.87 (8.81–16.94), 25.33 (7.84–42.83) and 38.49 (27.88–49.10) in OW, lean and DM–MAFLD, respectively, while the increased change proportions (%) were 1.53 (1.10–1.95), 3.56 (1.72–5.40) and 3.94 (2.82–5.05), respectively. Similar patterns were observed when these two baPWV parameters were transformed in the form of the greatest increase using Cox proportional hazards model analyses. Furthermore, the risk of arterial stiffness progression across MAFLD subtypes presented a significant, gradient, inverse relationship in the order of DM–, lean–, OW with metabolic abnormalities (MA)–, and OW without MA–MAFLD. ConclusionMAFLD, especially DM–MAFLD and lean–MAFLD, was significantly associated with arterial stiffness progression, providing evidence that stratification screening and surveillance strategies for CVD risk have important clinical implications.

Clinical application value of Ultrafast Pulse Wave Velocity in early cardiovascular injury of Immunoglobulin A nephropathy.

To investigate the application and the related influencing factors of ultrafast pulse wave velocity (ufPWV) in theevaluation of carotid artery elasticity in patients with Immunoglobulin A nephropathy (IgAN). A totalof 156 IgAN patients and 50 healthy individuals were selected as the control group. The ufPWV technique was employed tomeasure carotid arterial elasticity parameters, including carotid intima-media thickness (cIMT), pulse wave velocity at thebeginning of systole (BS-PWV) and pulse wave velocity at the end of systole (ES-PWV). Across the three groups(control group, IgAN patients with normal renal function, and IgAN patients with renal dysfunction) there was an increasingtrend observed in cIMT, BS-PWV, and ES-PWV. Additionally, ES-PWV exhibited higher sensitivity than BS-PWV. Correlationanalysis revealed that BS-PWV and ES-PWV were positively correlated with age, body mass index (BMI), systolic bloodpressure (SBP), high-sensitivity C-reactive protein (hs-CRP), creatinine (Cr), blood urea nitrogen (BUN), and uric acid (UA)and negatively correlated with estimated glomerular filtration rate (eGFR). The ufPWV technique allows for therapid and direct measurement of arterial elasticity parameters in the neck and represents a novel approach for the early diagnosisand quantitative assessment of arterial stiffness risk in IgAN patients.

Associations of coal mine dust exposure with arterial stiffness and atherosclerotic cardiovascular disease risk in chinese coal miners.

Whether coal mine dust exposure increases cardiovascular diseases (CVDs) risk was rarely explored. Our objective was to examine the association between coal mine dust exposure and cardiovascular risk. We estimated cumulative coal mine dust exposure (CDE) for 1327 coal miners by combining data on workplace dust concentrations and work history. We used brachial-ankle pulse wave velocity (baPWV, a representative indicator of arterial stiffness) and ten-year atherosclerotic cardiovascular disease (ASCVD) risk to assess potential CVD risk, exploring their associations with CDE. Positive dose-response relationships of CDE with baPWV and ten-year ASCVD risk were observed after adjusting for covariates. Specifically, each 1 standard deviation (SD) increase in CDE was related to a 0.27m/s (95% CI: 0.21, 0.34) increase in baPWV and a 1.29 (95% CI: 1.14, 1.46) elevation in OR(odds ratio) of risk of abnormal baPWV. Moreover, each 1 SD increase in CDE was associated with a 0.74% (95% CI: 0.63%, 0.85%) increase in scores of ten-year ASCVD and a 1.91 (95% CI: 1.62, 2.26) increase in OR of risk of ten-year ASCVD. When compared with groups unexposed to coal mine dust, significant increase in the risk of arterial stiffness and ten-year ASCVD in the highest CDE groups were detected. The study suggested that cumulative exposure to coal mine dust was associated with elevated arterial stiffness and ten-year ASCVD risk in a dose-response manner. These findings contribute valuable insights for cardiovascular risk associated with coal mine dust.

High serum uric acid is a risk factor for arterial stiffness in a Chinese hypertensive population: a cohort study.

The prospective cohort study was to explore the association between serum uric acid (SUA) and arterial stiffness in a Chinese hypertensive population. A total of 7444 participants with hypertension who completed two or more measurements of brachial-ankle pulse wave velocity (baPWV) and baseline SUA detection were followed-up in the Kailuan Study from 2010 to 2020. A restricted cubic spline curve was used to verify whether there was a linear association between baseline SUA and arterial stiffness. A Cox proportional hazard regression model was used to explore the association of between baseline SUA and the incidence of arterial stiffness. Our results showed that the restricted cubic spline curve revealed a linear relationship between baseline SUA and arterial stiffness in total participants (p < 0.001). After follow-up 4.6 ± 2.8 years, Kaplan-Meier survival curves indicated that the risk of arterial stiffness was increased in the high level of baseline SUA (Log-rank p = 0.0002). After adjusting for potential confounding factors, the HR (95% CI) for risk of stiffness was 1.33 (1.17-1.52, p < 0.001) in the highest SUA group. Hierarchical analysis showed that the HRs (95% CI) for risk of arterial stiffness were 1.45 (1.25-1.69), 1.38 (1.19-1.60), 1.41 (1.21-1.64), and 1.35 (1.15-1.58) in the highest SUA group of males, <65 years old, not taking antihypertensive drugs, and failure to achieve the control targets of blood pressure respectively (p < 0.001). These results reveal that high SUA is a risk factor for arterial stiffness in the Chinese hypertensive population.

Predicting the Risk of Arterial Stiffness in Coal Miners Based on Different Machine Learning Models

Predicting the Risk of Arterial Stiffness in Coal Miners Based on Different Machine Learning Models

Long-term exposure to reduced specific-size ambient particulate matter and progression of arterial stiffness among Chinese adults

To assess the associations of ambient specific-size PM with brachial-ankle pulse wave velocity (baPWV) and the progression of arterial stiffness. Participants were included from the Kailuan study, the cross-sectional study involved 36,486 participants, while the longitudinal study enrolled 16,871 participants. PM exposures was assessed through satellite-based random forest approaches at a 1 km resolution. Initial observations indicated a link between baseline baPWV and heightened levels of PM1, PM2.5, and PM10 exposure, and greater effects were observed for PM1 (β: 22.52, 95% CI: 18.14–26.89), followed by PM2.5 (β: 9.76, 95% CI: 7.52–12.00), and PM10 (β: 8.88, 95% CI: 7.32–10.45). Furthermore, the growth rate of baPWV was higher in participants exposed to high levels of PM1 exposure (β: 2.77, 95% CI: 1.19–4.35), succeeded by PM2.5 and PM10. Throughout a median follow-up period of 4.04 years, arterial stiffness was diagnosed in 1709 subjects. Long-term exposure to PM was linked with an increased risk of incident arterial stiffness, estimated HR for fixed 10 µg/m3 increments in annual average PM1 was 2.20 (95% CI: 2.01–2.42), PM2.5 was 1.48 (95% CI: 1.41–1.55), and PM10 1.32 (95% CI: 1.27–1.36). PM had a greater impact on men and older individuals (P for interaction <0.001). Long-term exposures to ambient PM1, PM2.5, and PM10 were positively associated with baPWV and an increased risk of arterial stiffness. Higher estimated effects were observed for PM1 than PM2.5 and PM10.