Dataset Information

Carotid Artery Stiffness Mechanisms in Hypertension and Their Association with Echolucency and Texture Features: The Multi-ethnic Study of Atherosclerosis (MESA).

ABSTRACT: Arterial stiffness, echolucency and texture features are altered with hypertension and associated with increased cardiovascular disease risk. The relationship between these markers and structural and load-dependent artery wall changes in hypertension are poorly understood. The Multi-ethnic Study of Atherosclerosis (MESA) is a longitudinal study of 6814 adults from six communities across the United States designed to study subclinical cardiovascular disease. From B-mode imaging of the right common carotid artery at the baseline MESA examination, we calculated carotid artery Young's elastic modulus (YEM, n = 5894) and carotid artery gray-scale texture features (n = 1403). The standard YEM calculation represented total arterial stiffness. Structural stiffness was calculated by adjusting YEM to a standard blood pressure of 120/80 mm Hg with participant-specific models. Load-dependent stiffness was the difference between total and structural stiffness. We found that load-dependent YEM was elevated in hypertensive individuals compared with normotensive individuals (35.7 ± 105.5 vs. -62.0 ± 112.4 kPa, p < 0.001) but that structural YEM was similar (425.3 ± 274.8 vs. 428.4 ± 293.0 kPa, p = 0.60). Gray-scale measures of heterogeneity in carotid artery wall texture (gray-level difference statistic contrast) had small but statistically signification correlations with carotid artery stiffness mechanisms. This association was positive for structural YEM (0.107, p < 0.001), while for load-dependent YEM, the association was negative (-0.064, p = 0.02). In conclusion, increased arterial stiffness in hypertension was owing solely to the non-linear mechanics of having higher blood pressure, not structural changes in the artery wall, and high load-dependent stiffness was associated with a more homogenous carotid artery wall texture. This is potentially related to arterial remodeling associated with subclinical atherosclerosis and future cardiovascular disease development. These results also indicate that gray-scale texture features from ultrasound imaging had a small but statistically significant association with load-dependent arterial stiffness and that gray-scale texture features may be partially load dependent.

SUBMITTER: Pewowaruk R

PROVIDER: S-EPMC9529864 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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Carotid Artery Stiffness Mechanisms in Hypertension and Their Association with Echolucency and Texture Features: The Multi-ethnic Study of Atherosclerosis (MESA).

Pewowaruk Ryan R Korcarz Claudia C Tedla Yacob Y Mitchell Carol C Gepner Adam D AD

Ultrasound in medicine & biology 20220818 11

Arterial stiffness, echolucency and texture features are altered with hypertension and associated with increased cardiovascular disease risk. The relationship between these markers and structural and load-dependent artery wall changes in hypertension are poorly understood. The Multi-ethnic Study of Atherosclerosis (MESA) is a longitudinal study of 6814 adults from six communities across the United States designed to study subclinical cardiovascular disease. From B-mode imaging of the right commo ...[more]

PMID: 35987736

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Project description:Background We hypothesized that measures of common carotid artery echolucency and grayscale texture features were associated with cardiovascular disease ( CVD ) risk factors and could predict CVD events. Methods and Results Using a case-cohort design, we measured common carotid artery ultrasound images from 1788 participants in Exam 1 of the MESA study (Multi-Ethnic Study of Atherosclerosis) to derive 4 grayscale features: grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment. CVD risk factor associations were determined by linear regression. Cox proportional hazard models with inverse selection probability weighting and adjustments for age, sex, race/ethnicity, CVD risk factors, and C-reactive protein were used to determine if standardized values for grayscale median, entropy, gray level difference statistic-contrast, and spatial gray level dependence matrices-angular second moment could predict incident coronary heart disease, stroke, and total CVD events over a median 13 years follow-up. Participants were mean ( SD ) 63.1 (10.3) years of age, 52.6% female, 32.1% white, 27.8% black, 23.3% Hispanic, and 16.8% Chinese. There were 283 coronary heart disease, 120 stroke, and 416 CVD events. Several associations of grayscale features with CVD risk factors were identified. In fully adjusted models, higher gray level difference statistic-contrast was associated with a lower risk of incident coronary heart disease (hazard ratio 0.82, 95% CI 0.71-0.94, padj=0.005) and CVD events (hazard ratio 0.87, 95% CI 0.77-0.98, padj=0.018); higher spatial gray level dependence matrices-angular second moment was associated with a higher risk of CVD events (hazard ratio 1.09, 95% CI 1.00-1.19, padj=0.044). Conclusions Gray level difference statistic-contrast and spatial gray level dependence matrices-angular second moment predicted CVD events independent of risk factors, indicating their potential use as biomarkers to assess future CVD risk.

Project description:ObjectivesThe purpose of this study was to evaluate independent associations of high-density lipoprotein cholesterol (HDL-C) and particle (HDL-P) concentrations with carotid intima-media thickness (cIMT) and incident coronary heart disease (CHD).BackgroundHDL-C is inversely related to CHD, and also to triglycerides, low-density lipoprotein particles (LDL-P), and related metabolic risk. HDL-P associations with CHD may be partially independent of these factors.MethodsIn a multiethnic study of 5,598 men and women ages 45 to 84 years old, without baseline CHD, excluding subjects on lipid-lowering medications, triglycerides >400 mg/dl, or missing values, we evaluated associations of HDL-C and nuclear magnetic resonance spectroscopy-measured HDL-P with cIMT and incident CHD (myocardial infarction, CHD death, and angina, n = 227 events; mean 6.0 years follow-up). All models were adjusted for age, sex, ethnicity, hypertension, and smoking.ResultsHDL-C and HDL-P correlated with each other (ρ = 0.69) and LDL-P (ρ = -0.38, -0.25, respectively, p < 0.05 for all). For (1 SD) higher HDL-C (15 mg/dl) or HDL-P (6.64 μmol/l), cIMT differences were - 26.1 (95% confidence interval [CI]: -34.7 to -17.4) μm and -30.1 (95% CI: -38.8 to - 21.4) μm, and CHD hazard ratios were 0.74 (95% CI: 0.63 to 0.88) and 0.70 (95% CI: 0.59 to 0.82), respectively. Adjusted for each other and LDL-P, HDL-C was no longer associated with cIMT (2.3; 95% CI: - 9.5 to 14.2 μm) or CHD (0.97; 95% CI: 0.77 to 1.22), but HDL-P remained independently associated with cIMT (-22.2; 95% CI: - 33.8 to -10.6 μm) and CHD (0.75; 95% CI: 0.61 to 0.93). Interactions by sex, ethnicity, diabetes, and high-sensitivity C-reactive protein were not significant.ConclusionsAdjusting for each other and LDL-P substantially attenuated associations of HDL-C, but not HDL-P, with cIMT and CHD. Potential confounding by related lipids or lipoproteins should be carefully considered when evaluating HDL-related risk.

Dataset Information

Carotid Artery Stiffness Mechanisms in Hypertension and Their Association with Echolucency and Texture Features: The Multi-ethnic Study of Atherosclerosis (MESA).

Publications

Carotid Artery Stiffness Mechanisms in Hypertension and Their Association with Echolucency and Texture Features: The Multi-ethnic Study of Atherosclerosis (MESA).

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