Association between uric acid and brachial-ankle pulse wave velocity: secondary analysis of data from a cross-sectional study

Luo, Faxin; Zhuo, Chaozhou

doi:10.1038/s41598-020-59391-8

Cited by 8 publications

(10 citation statements)

References 43 publications

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“…shows that the left and right hands of the PWV parameter showed significant relation with high and normal UA which similar as reported in [11,12]. The PPG features showed that the onset to the systolic peak of left hand (LO1_S1) and onset to the dicrotic notch of the right hand (RO1_N1) of PPG in time domain is the most significant compared the three other fiducial points.…”

Section: Machine Learningsupporting

confidence: 84%

“…A study on the correlation between UA and brachial-ankle pulse wave velocity (ba-PWV) was controversial [9,10]. However, a cross-sectional study from Japan population has shown a significant association between ba-PWV and UA with a p-value of less than 0.05 [11,12]. In addition to ba-PWV, machine learning (ML) is a promising tool in prediction and classification, especially in various applications in a clinical setup.…”

Section: Introductionmentioning

confidence: 99%

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Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph

Dubey¹,

Gupta²,

Jain³

2022

Computers, Materials &Amp; Continua

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Hyperuricemia is an alarming issue that contributes to cardiovascular disease. Uric acid (UA) level was proven to be related to pulse wave velocity, a marker of arterial stiffness. A hyperuricemia prediction method utilizing photoplethysmogram (PPG) and arteriograph by using machine learning (ML) is proposed. From the literature search, there is no available papers found that relates PPG with UA level even though PPG is highly associated with vessel condition. The five phases in this research are data collection, signal preprocessing including denoising and signal quality indexes, features extraction for PPG and SDPPG waveform, statistical analysis for feature selection and classification of UA levels using ML. Adding PPG to the current arteriograph able to reduce cost and increase the prediction performance. PPG and arteriograph data were measured from 113 subjects, and 226 sets of data were collected from the left and right hands of the subjects. The performance of four types of ML, namely, artificial neural network (ANN), linear discriminant analysis (LDA), k-nearest neighbor (kNN), and support vector machine (SVM) in predicting hyperuricemia was compared. From the total of 98 features extracted, 16 features of which showed statistical significance for hyper and normouricemia. ANN gives the best performance compared to the other three ML techniques with 91.67%, 95.45%, and 94.12% for sensitivity, specificity, and accuracy, respectively. Features from PPG and arteriograph able to be used to predict hyperuricemia accurately and noninvasively. This study is the first to find the relationship of PPG with hyperuricemia. It shows a significant relation between PPG signals and arteriograph data toward the UA level. The proposed method of UA prediction shows its potential for noninvasive preliminary assessment.

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Section: Machine Learningsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph

Dubey¹,

Gupta²,

Jain³

2022

Computers, Materials &Amp; Continua

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“…Regarding the mechanism, an increased RHR can change the viscoelasticity of the arterial wall, thus increasing arterial stiffness [43]. A study including 912 females showed that the urea acid level and baPWV had a positive nonlinear correlation [44], but our study showed that the level of urea acid was significantly linearly correlated with baPWV in females but not in males. In the previous literature, total homocysteine levels, BMI, low creatinine clearance, proteinuria, urine albumin, and salt intake were also reported to be associated with baPWV [22,38,45].…”

Section: Discussioncontrasting

confidence: 67%

Factors Associated with Brachial‐Ankle Pulse Wave Velocity in an Apparently Healthy Chinese Population

Chen

Liu

Jia

et al. 2020

BioMed Research International

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Purpose. To investigate the factors influencing brachial-ankle pulse wave velocity (baPWV) in an apparently healthy Chinese population, especially the associations between baPWV and indices of blood pressure (BP). Methods. A total of 1123 participants with no history of hypertension were enrolled in this study, and the baPWV and BP of all four limbs were measured along with other covariates. Correlation analyses and multivariate linear regression models were used to identify factors associated with baPWV. Results. A total of 1123 participants (male 43.3%, mean age: 58.4±13.9 years) were included. The average baPWV was 14.87±3.21 m/s, and no difference was found between the sexes. Age was positively correlated with baPWV (r=0.65, p<0.01), especially in females (r=0.71 versus 0.56 in males). The correlation coefficient between age and baPWV increased markedly after the age of 65 years. In addition, the resting heart rate (RHR), waist-hip ratio, glomerular filtration rate, and plasma glucose level were significantly correlated with baPWV (r=0.25, 0.22, -0.43, and 0.25, respectively; p<0.01). BP parameters were highly positively correlated with baPWV, especially systolic BP (SBP) and pulse pressure (PP). Multivariate regression revealed that age, BP parameters, and RHR were independently correlated with baPWV (p<0.01) after adjusting for confounding factors. The standardized coefficients of SBP were greater than those of PP, followed by diastolic BP (DBP). Conclusion. BaPWV increased with age, especially after 65 years. Age, BP, and RHR were independent factors associated with baPWV. The effect of SBP on baPWV was more prominent than that of PP.

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“…Uric acid also promotes endothelial dysfunction through inactivation of NO and impairment of endothelial cells proliferation 46 . Moreover, urate crystals are deposited on the arterial wall, which causes inflammation, stimulates mast cells, induces lipid infiltration, and further destroys the intimal cells of the arteries, thereby blocking the metabolism of apolipoprotein B (apoB) and eventually leading to the aggravation of atherosclerosis 27 . Uric acid has a dual role, in addition to an oxidative effect, it also has an antioxidant effect 48 .…”

Section: Discussionmentioning

confidence: 99%

Gender-Specific Association between Serum Uric Acid and Incident Fundus Arteriosclerosis in Chinese Population: A Retrospective Cross-Sectional Study

Liu

Liu²,

Gao³

et al. 2020

Sci Rep

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Elevated levels of serum uric acid (SUA) were considered to be risk factors for cardiovascular disease, it has been found to be associated with increased arteriosclerosis. The aim of this study was to explore the gender specific relationship between SUA and fundus arteriosclerosis in a healthy population. In a retrospective cross-sectional study, 23474 individuals without diabetes and hypertension were included in the present study. SUA levels were cut to four groups as Q1 to Q4, according to the quartiles. The odds ratio and 95% confidence interval of different SUA levels were estimated by a binomial logistic regression model. A restrictive cubic spline method was used to estimate the dose-response relationship between SUA and fundus arteriosclerosis. Subgroup analysis was performed to find the gender-specific association between SUA and incident fundus arteriosclerosis. In males, after adjusting for confounding factors, the highest SUA level was significantly associated with the risk of incident fundus arteriosclerosis. The OR with 95%CI for Q4 was 1.44(1.18, 1.76), Q1 as a reference. Specially, for females, SUA level was not associated with the incidence of fundus arteriosclerosis. In conclusion, elevated levels of SUA were associated with the incidence of fundus arteriosclerosis in males, but not in females.

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Association between uric acid and brachial-ankle pulse wave velocity: secondary analysis of data from a cross-sectional study

Cited by 8 publications

References 43 publications

Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph

Hyperuricemia Prediction Using Photoplethysmogram and Arteriograph

Factors Associated with Brachial‐Ankle Pulse Wave Velocity in an Apparently Healthy Chinese Population

Gender-Specific Association between Serum Uric Acid and Incident Fundus Arteriosclerosis in Chinese Population: A Retrospective Cross-Sectional Study

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