INTRODUCTION: Rheumatoid arthritis (RA) is associated with heightened cardiovascular disease and increased susceptibility to osteoporosis, with shared underlying mechanisms. This study aimed to investigate the association between vascular function and bone mineral density (BMD). METHODS: We conducted a cross-sectional study of 49 patients with RA at Tan Tock Seng Hospital, Singapore. Endothelial function was measured as reactive hyperaemia index (RHI)-endothelial peripheral arterial tonometry and aortic stiffness as carotid-femoral pulse wave velocity (cf-PWV) using SphygmoCor. Univariable and multivariable linear regression analyses were performed to evaluate the associations between BMD and vascular function. We used natural logarithm RHI (lnRHI) and cf-PWV as response variables, and each BMD as covariate, adjusting for body mass index, positive anti-cyclic citrullinated peptide, cumulative prednisolone dose, hydroxychloroquine use and Systematic COronary Risk Evaluation 2. RESULTS: We recruited 49 patients (mean age 61.08 ± 8.20 years), of whom 44 (89.80%) were women and 39 (81.25%) were Chinese. Significant associations were found between lnRHI and BMD at the lumbar spine (β = 0.4289, P = 0.037) and total hip (β = 0.7544, P = 0.014) in univariable analyses. Multivariable analyses confirmed these associations, showing that lower BMD at the lumbar spine (β = 0.7303, P = 0.001), femoral neck (β = 0.8694, P = 0.030) and total hip (β = 0.8909, P = 0.010) were significantly associated with worse lnRHI. No significant associations were found between BMD and cf-PWV. CONCLUSION Lower BMD is associated with endothelial dysfunction, but not aortic stiffness in patients with RA. Further longitudinal studies are needed to confirm these associations and understand the underlying mechanisms.
Humans ; Arthritis, Rheumatoid/complications* ; Female ; Male ; Bone Density ; Middle Aged ; Cross-Sectional Studies ; Vascular Stiffness ; Aged ; Singapore ; Pulse Wave Analysis ; Osteoporosis/complications* ; Endothelium, Vascular/physiopathology* ; Cardiovascular Diseases/complications* ; Carotid-Femoral Pulse Wave Velocity ; Hyperemia

To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. Then, the phase motion video magnification algorithm is used to amplify the original signals, and the amplified signals are reconstructed in three dimensions to obtain 3D pulse signals. On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. The experimental results show that compared to the methods without subtle motion magnification technology, the proposed method significantly improves waveform clarity, amplitude stability, and periodic regularity. Meanwhile, the average accuracy in pulse pattern recognition reaches 96.29%±0.26%.
Algorithms ; Imaging, Three-Dimensional/methods* ; Pattern Recognition, Automated ; Medicine, Chinese Traditional ; Motion ; Humans ; Pulse ; Signal Processing, Computer-Assisted ; Machine Learning

Cardiovascular disease (CVD) is the leading cause of death worldwide. As the key pathological basis of CVD, arteriosclerosis holds great significance for early screening. However, existing clinical and homecare detection devices have many shortcomings; for instance, the commonly used non-invasive indicator PWV (pulse wave velocity) is easily interfered by blood pressure.This study developed a homecare arteriosclerosis monitoring system, which integrates the measurement functions of cardio-ankle vascular index (CAVI) and ankle-brachial index (ABI). The hardware design of the system includes an integrated structure of flexible silver ion electrodes and clip-type cuffs, a contact heart sound sensor, and a stepped deflation blood pressure measurement module. Meanwhile, a high-precision analog-to-digital conversion module and the STM32F405 main control chip are used to realize the synchronous acquisition of multiple signals.In terms of software, the underlying driver program was designed through MDK (Keil5), and a user interface was built on the Visual Studio platform to achieve functions such as data acquisition, display, and storage. At the algorithm level, the system adopted algorithms like the Pan-Tompkins algorithm to identify key feature points of physiological signals, and then calculate CAVI and ABI.System test results show that the ECG input noise of the system is less than 20 μV, the common-mode rejection ratio is 95 dB, and the blood pressure measurement error does not exceed 2 mmHg, which meets the design goals. Clinical data analysis indicates that CAVI is highly positively correlated with pulse wave velocity (PWV) ( r=0.85, P<0.001), but CAVI is less affected by blood pressure fluctuations. In addition, with the increase of risk factors (such as hypertension, hyperlipidemia, coronary heart disease, etc.) and age, arteriosclerosis indicators (CAVI, PWV, ABI) all show an upward trend.In conclusion, the homecare arteriosclerosis monitoring system proposed in this study not only overcomes the problems of traditional devices that rely on professional operation and are susceptible to blood pressure interference, but also provides a reliable tool for arteriosclerosis screening in home scenarios, and has important reference value for clinical diagnosis.
Humans ; Cardio Ankle Vascular Index ; Home Care Services ; Atherosclerosis/diagnosis* ; Ankle Brachial Index ; Algorithms ; Pulse Wave Analysis ; Arteriosclerosis/diagnosis* ; Monitoring, Physiologic/instrumentation*

Vascular aging refers to the degenerative changes in vascular wall structure and vasodilatory function, forming the pathophysiological basis for the onset and progression of cardiovascular disease (CVD). Pulse wave velocity (PWV), a non-invasive method for evaluating and detecting early vascular aging, has achieved significant results in predicting CVD risk and evaluating the efficacy of pharmacological treatments. PWV can effectively predict CVD risk across various populations, including healthy individuals, patients with hypertension, diabetes, and chronic inflammatory diseases. In patients with comorbidities such as hypertension, pharmacological interventions, such as anti-inflammatory, lipid-lowering, anti-hypertensive, and anti-diabetic treatments, can effectively reduce PWV and thus slow down vascular aging. Therefore, PWV is not only a vital tool for assessing early vascular aging but also an important indicator for evaluating treatment outcomes. Regular monitoring of PWV levels is of great significance in predicting CVD risk, evaluating therapeutic efficacy, and guiding clinical decision-making.
Humans ; Pulse Wave Analysis/methods* ; Cardiovascular Diseases/diagnosis* ; Aging/physiology* ; Vascular Stiffness/physiology* ; Hypertension/physiopathology* ; Risk Factors ; Blood Vessels/physiopathology*

OBJECTIVE: To utilized the baseline data of the Beijing Fangshan Family Cohort Study, and to estimate whether the association between a healthy lifestyle and arterial stiffness might be modified by genetic effects. METHODS: Probands and their relatives from 9 rural areas in Fangshan district, Beijing were included in this study. We developed a healthy lifestyle score based on five lifestyle behaviors: smoking, alcohol consumption, body mass index (BMI), dietary pattern, and physical activity. The measurements of arterial stiffness were brachial-ankle pulse wave velocity (baPWV) and ankle-brachial index (ABI). A variance component model was used to determine the heritability of arterial stiffness. Genotype-environment interaction effects were performed by the maximum likelihood methods. Subsequently, 45 candidate single nucleotide polymorphisms (SNPs) located in the glycolipid metabolism pathway were selected, and generalized estimated equations were used to assess the gene-environment interaction effects between particular genetic loci and healthy lifestyles. RESULTS: A total of 6 302 study subjects across 3 225 pedigrees were enrolled in this study, with a mean age of 56.9 years and 45.1% male. Heritability of baPWV and ABI was 0.360 (95%CI: 0.302-0.418) and 0.243 (95%CI: 0.175-0.311), respectively. Significant genotype-healthy diet interaction on baPWV and genotype-BMI interaction on ABI were observed. Following the findings of genotype-environment interaction analysis, we further identified two SNPs located in ADAMTS9-AS2 and CDH13 might modify the association between healthy dietary pattern and arterial stiffness, indicating that adherence to a healthy dietary pattern might attenuate the genetic risk on arterial stiffness. Three SNPs in CDKAL1, ATP8B2 and SLC30A8 were shown to interact with BMI, implying that maintaining BMI within a healthy range might decrease the genetic risk of arterial stiffness. CONCLUSION The current study discovered that genotype-healthy dietary pattern and genotype-BMI interactions might affect the risk of arterial stiffness. Furthermore, we identified five genetic loci that might modify the relationship between healthy dietary pattern and BMI with arterial stiffness. Our findings suggested that a healthy lifestyle may reduce the genetic risk of arterial stiffness. This study has laid the groundwork for future research exploring mechanisms of arterial stiffness.
Humans ; Male ; Middle Aged ; Female ; Ankle Brachial Index ; Cohort Studies ; Gene-Environment Interaction ; Vascular Stiffness/genetics* ; Pedigree ; Pulse Wave Analysis/methods* ; Genotype

Objective: To evaluate the impact of individual and combined assessment of age- and sex-specific brachial-ankle pulse wave velocity (baPWV) and pulse pressure (PP) on all-cause mortality. Methods: This study is a prospective cohort study. Individuals participated in the Kailuan Study and completed baPWV measurements between 2010 and 2016 were included in this study. After stratifying by sex, 75th percentile baPWV and PP values for different age group were calculated at five years interval. BaPWV and PP values below the 75th percentile were defined as normal, and those above or equal to the 75th percentile were defined as increased. The participants were allocated to four groups according to their PP and baPWV status: normal baPWV/PP group, high baPWV/normal PP group, normal baPWV/high PP group and high baPWV/PP group. The primary outcome was all-cause mortality during the follow-up period. Cox proportional hazards models were used to explore the impact of individual and combined assessment of baPWV and PP on all-cause mortality events. Results: A total of 39 339 participants were enrolled in this study, aged (49.3±12.8) years, of which 28 731 (73.03%) were males. There were 23 268, 6 025, 6 210 and 3 836 cases in the normal baPWV/PP group, high baPWV/normal PP group, normal baPWV/high PP group and high baPWV/PP group, respectively. The average follow-up duration was (4.98±2.53) years. During the follow-up period, all-cause mortality occurred in 998 individuals. Multivariate Cox regression analysis showed increased risk of all-cause mortality in the high baPWV/normal PP group (HR=1.27, 95%CI 1.07-1.50), and in the high baPWV/PP group (HR=1.33, 95%CI 1.08-1.65) compared to the normal baPWV/PP group. Increased pulse pressure alone had no impcat on all-cause death (HR=1.06, 95%CI 0.87-1.29). Conclusions: The risk of all-cause mortality significantly increases with increased age-and sex-specific baPWV and PP values. BaPWV may be a better predictor of all-cause mortality than PP in this cohort.
Male ; Female ; Humans ; Blood Pressure ; Ankle Brachial Index ; Prospective Studies ; Pulse Wave Analysis ; Ankle ; Vascular Stiffness ; Risk Factors

Objective: This study aimed to analyze clinical factors related to arterial stiffening and establish a risk prediction nomogram of arterial stiffening in the octogenarian(≥80 years). Methods: This study was a retrospective cross-sectional study, which enrolled the octogenarian elderly who underwent physical examination and secondary prevention intervention in the outpatient department of Chinese People's Liberation Army General Hospital from April 2022 to August 2022. Clinical data including demographics, biochemical indicators and medical history were collected. Brachial-ankle pulse wave velocity (baPWV) was detected during the clinical visit. Participants were divided into the control group (baPWV≤1 800 cm/s) and vascular sclerosis group (baPWV>1 800 cm/s). The risk factors of arterial stiffness were analyzed by univariate and logistic regression analysis, and the nomogram model was constructed by R programming language. The predictive effect of the nomogram model was evaluated by the receiver operating characteristic curve (ROC). Results: The median age of the 525 participants was 87.0 (82.0, 92.0) years, 504 (96.0%) were male, 82 in the control group, 443 in the vascular sclerosis group. The baPWV, age, systolic blood pressure, mean arterial pressure and diastolic blood pressure were significantly lower in the control group than those in the vascular sclerosis group (all P<0.05). Logistic regression analysis showed that high-density lipoprotein cholesterol, alanine aminotransferase and amylase were protective factors, and alkaline phosphatase and creatinine were risk factors of arterial stiffening (all P<0.05). The combined nomogram model scores including age, mean arterial pressure and the above five laboratory indicators indicated that mean arterial pressure and serum creatinine levels were strongly correlated with vascular sclerosis. The ROC curve suggested that the nomogram model had good prediction ability. Conclusions: Age, mean arterial pressure, high-density lipoprotein cholesterol, alanine aminotransferase, alkaline phosphatase, amylase and creatinine are independently determinants for increased vascular stiffness. The combined prediction model in this study can provide reference for individualized clinical risk prediction of vascular sclerosis in the octogenarian elderly.
Aged, 80 and over ; Humans ; Male ; Aged ; Female ; Ankle Brachial Index ; Vascular Stiffness/physiology* ; Octogenarians ; Retrospective Studies ; Cross-Sectional Studies ; Alanine Transaminase ; Alkaline Phosphatase ; Creatinine ; Sclerosis ; Pulse Wave Analysis ; Risk Factors ; Amylases ; Lipoproteins, HDL ; Cholesterol

Objective: This study aimed to analyze clinical factors related to arterial stiffening and establish a risk prediction nomogram of arterial stiffening in the octogenarian(≥80 years). Methods: This study was a retrospective cross-sectional study, which enrolled the octogenarian elderly who underwent physical examination and secondary prevention intervention in the outpatient department of Chinese People's Liberation Army General Hospital from April 2022 to August 2022. Clinical data including demographics, biochemical indicators and medical history were collected. Brachial-ankle pulse wave velocity (baPWV) was detected during the clinical visit. Participants were divided into the control group (baPWV≤1 800 cm/s) and vascular sclerosis group (baPWV>1 800 cm/s). The risk factors of arterial stiffness were analyzed by univariate and logistic regression analysis, and the nomogram model was constructed by R programming language. The predictive effect of the nomogram model was evaluated by the receiver operating characteristic curve (ROC). Results: The median age of the 525 participants was 87.0 (82.0, 92.0) years, 504 (96.0%) were male, 82 in the control group, 443 in the vascular sclerosis group. The baPWV, age, systolic blood pressure, mean arterial pressure and diastolic blood pressure were significantly lower in the control group than those in the vascular sclerosis group (all P<0.05). Logistic regression analysis showed that high-density lipoprotein cholesterol, alanine aminotransferase and amylase were protective factors, and alkaline phosphatase and creatinine were risk factors of arterial stiffening (all P<0.05). The combined nomogram model scores including age, mean arterial pressure and the above five laboratory indicators indicated that mean arterial pressure and serum creatinine levels were strongly correlated with vascular sclerosis. The ROC curve suggested that the nomogram model had good prediction ability. Conclusions: Age, mean arterial pressure, high-density lipoprotein cholesterol, alanine aminotransferase, alkaline phosphatase, amylase and creatinine are independently determinants for increased vascular stiffness. The combined prediction model in this study can provide reference for individualized clinical risk prediction of vascular sclerosis in the octogenarian elderly.
Aged, 80 and over ; Humans ; Male ; Aged ; Female ; Ankle Brachial Index ; Vascular Stiffness/physiology* ; Octogenarians ; Retrospective Studies ; Cross-Sectional Studies ; Alanine Transaminase ; Alkaline Phosphatase ; Creatinine ; Sclerosis ; Pulse Wave Analysis ; Risk Factors ; Amylases ; Lipoproteins, HDL ; Cholesterol

The present study explored the correlation of coronary heart disease(CHD) with blood stasis syndrome in postmenopausal women with artery elasticity and endothelial function indexes and evaluated the diagnostic efficacy of the prediction model via logistic regression and receiver operating characteristic(ROC) curve model. A retrospective comparison was made between 366 postmenopausal CHD patients from August 1, 2020, to September 30, 2021, in the Department of Cardiology of Integrated Traditional Chinese and Western Medicine of China-Japan Friendship Hospital, who were divided into the blood stasis syndrome group(n=196) and the non-blood stasis syndrome group(n=170). General clinical characteristics of the two groups were compared. Multivariate logistic regression analysis was used to probe the correlation of CHD with blood stasis syndrome in postmenopausal women with brachial-ankle pulse wave velocity(baPWV), ankle-brachial index(ABI), and flow-mediated dilatation(FMD), and the ROC curve was drawn to evaluate the diagnostic efficiency of the prediction model. Multivariate logistic regression analysis showed that the correlation coefficients of CHD with blood stasis syndrome in postmenopausal women with baPWV, ABI, and FMD were 1.123, 0.109, and 0.719, respectively(P=0.004, P=0.005, P<0.001),and the regression equation for predicting probability P was P=1/[1+e~(-(3.131+0.116×baPWV-2.217×ABI-0.330×FMD))]. ROC curve analysis suggested that in the context of baPWV≥19.19 m·s~(-1) or ABI≤1.22 or FMD≤9.7%, it was of great significance to predict the diagnosis of CHD with blood stasis syndrome in postmenopausal women. The AUC of baPWV, ABI, FMD, and prediction probability P was 0.763, 0.607, 0.705, and 0.836, respectively. The AUC of prediction probability P was higher than that of each index alone(P<0.001), and the sensitivity and specificity were 0.888 and 0.647, respectively. The results demonstrate that baPWV, ABI, and FMD are independently correlated with CHD with blood stasis syndrome in postmenopausal women, and show certain independent predictive abilities(P<0.05). The combined evaluation of the three possesses the best diagnostic efficiency.
Ankle Brachial Index ; Brachial Artery ; Coronary Disease/diagnosis* ; Elasticity ; Female ; Humans ; Logistic Models ; Postmenopause ; Pulse Wave Analysis ; ROC Curve ; Retrospective Studies

OBJECTIVES: To study the application of three-dimensional speckle-tracking imaging in evaluating left ventricular systolic function and its correlation with peripheral arterial elasticity in children with simple obesity. METHODS: Random sampling combined with convenience sampling was used to obtain research samples, and then the samples were divided into an obesity group (23 cases), an overweight group (21 cases), and a normal group (24 cases). Three-dimensional speckle-tracking imaging was used to measure the global longitudinal strain (GLS), global radial strain (GRS), and global circumferential strain (GCS) of the left ventricle. An automatic arteriosclerosis tester was used to measure ankle-brachial index (ABI) and brachial-ankle pulse wave velocity (baPWV). These parameters were compared among the three groups. The correlation of three-dimensional speckle-tracking parameters with ABI and baPWV was evaluated. RESULTS: There were no significant differences in GLS, GRS, and GCS between the obesity and normal groups (P>0.05). The overweight group had a significantly higher GLS than the normal group [(-24±7) vs (-19±12), P<0.05]. The obesity and overweight groups had a significantly lower ABI than the normal group [(1.00±0.09)/(1.09±0.13) vs (2.25±0.13), P<0.05). The obesity group had a significantly higher baPWV than the normal group [(978±109) vs (905±22), P<0.05]. In the children with obesity, GLS was positively correlated with baPWV (r=0.516, P<0.05) , but not correlated with ABI (P>0.05), and GCS and GRS had no significant correlation with ABI or baPWV (P>0.05). CONCLUSIONS There are varying degrees of changes in left ventricular systolic function and peripheral arterial elasticity in children with simple obesity, and there is a certain correlation between them.
Ankle Brachial Index ; Child ; Echocardiography, Three-Dimensional/methods* ; Elasticity ; Humans ; Obesity ; Overweight ; Prospective Studies ; Pulse Wave Analysis