scholarly journals Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation

10.2196/29212 ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. e29212
Author(s):  
Dohyun Park ◽  
Soo Jin Cho ◽  
Kyunga Kim ◽  
Hyunki Woo ◽  
Jee Eun Kim ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Pulse Wave Velocity ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Clinical Variable ◽  
Linear Regression Method ◽  
Relative Importance ◽  
Final Model

Background Pulse transit time and pulse wave velocity (PWV) are related to blood pressure (BP), and there were continuous attempts to use these to predict BP through wearable devices. However, previous studies were conducted on a small scale and could not confirm the relative importance of each variable in predicting BP. Objective This study aims to predict systolic blood pressure and diastolic blood pressure based on PWV and to evaluate the relative importance of each clinical variable used in BP prediction models. Methods This study was conducted on 1362 healthy men older than 18 years who visited the Samsung Medical Center. The systolic blood pressure and diastolic blood pressure were estimated using the multiple linear regression method. Models were divided into two groups based on age: younger than 60 years and 60 years or older; 200 seeds were repeated in consideration of partition bias. Mean of error, absolute error, and root mean square error were used as performance metrics. Results The model divided into two age groups (younger than 60 years and 60 years and older) performed better than the model without division. The performance difference between the model using only three variables (PWV, BMI, age) and the model using 17 variables was not significant. Our final model using PWV, BMI, and age met the criteria presented by the American Association for the Advancement of Medical Instrumentation. The prediction errors were within the range of about 9 to 12 mmHg that can occur with a gold standard mercury sphygmomanometer. Conclusions Dividing age based on the age of 60 years showed better BP prediction performance, and it could show good performance even if only PWV, BMI, and age variables were included. Our final model with the minimal number of variables (PWB, BMI, age) would be efficient and feasible for predicting BP.

scholarly journals Prediction Algorithms for Blood Pressure Based on Pulse Wave Velocity Using Health Checkup Data in Healthy Korean Men: Algorithm Development and Validation (Preprint)

2021 ◽  
Author(s):  
Dohyun Park ◽  
Soo Jin Cho ◽  
Kyunga Kim ◽  
Hyunki Woo ◽  
Jee Eun Kim ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Pulse Wave Velocity ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Clinical Variable ◽  
Linear Regression Method ◽  
Relative Importance ◽  
Final Model

BACKGROUND Pulse transit time and pulse wave velocity (PWV) are related to blood pressure (BP), and there were continuous attempts to use these to predict BP through wearable devices. However, previous studies were conducted on a small scale and could not confirm the relative importance of each variable in predicting BP. OBJECTIVE This study aims to predict systolic blood pressure and diastolic blood pressure based on PWV and to evaluate the relative importance of each clinical variable used in BP prediction models. METHODS This study was conducted on 1362 healthy men older than 18 years who visited the Samsung Medical Center. The systolic blood pressure and diastolic blood pressure were estimated using the multiple linear regression method. Models were divided into two groups based on age: younger than 60 years and 60 years or older; 200 seeds were repeated in consideration of partition bias. Mean of error, absolute error, and root mean square error were used as performance metrics. RESULTS The model divided into two age groups (younger than 60 years and 60 years and older) performed better than the model without division. The performance difference between the model using only three variables (PWV, BMI, age) and the model using 17 variables was not significant. Our final model using PWV, BMI, and age met the criteria presented by the American Association for the Advancement of Medical Instrumentation. The prediction errors were within the range of about 9 to 12 mmHg that can occur with a gold standard mercury sphygmomanometer. CONCLUSIONS Dividing age based on the age of 60 years showed better BP prediction performance, and it could show good performance even if only PWV, BMI, and age variables were included. Our final model with the minimal number of variables (PWB, BMI, age) would be efficient and feasible for predicting BP.

scholarly journals Vascular function and stiffness: population epidemiology and concordance in Australian children aged 11–12 years and their parents

BMJ Open ◽  
2019 ◽  
Vol 9 (Suppl 3) ◽  
pp. 34-43 ◽  
Author(s):  
Freya K Kahn ◽  
Melissa Wake ◽  
Kate Lycett ◽  
Susan Clifford ◽  
David P Burgner ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Pulse Wave Velocity ◽  
Systolic Blood Pressure ◽  
Diastolic Blood Pressure ◽  
Wave Velocity ◽  
Vascular Function ◽  
Pulse Wave ◽  
Augmentation Index ◽  
Central Systolic Blood Pressure ◽  
Parent Child

ObjectivesTo describe the epidemiology and parent–child concordance of vascular function in a population-based sample of Australian parent–child dyads at child age 11–12 years.DesignCross-sectional study (Child Health CheckPoint), nested within a prospective cohort study, the Longitudinal Study of Australian Children (LSAC).SettingAssessment centres in seven major Australian cities and eight regional towns or home visits, February 2015–March 2016.ParticipantsOf all participating CheckPoint families (n=1874), 1840 children (49% girls) and 1802 parents (88% mothers) provided vascular function data. Survey weights and methods were applied to account for LSAC’s complex sample design and clustering within postcodes and strata.Outcome measuresThe SphygmoCor XCEL assessed vascular function, generating estimates of brachial and central systolic blood pressure and diastolic blood pressure, central pulse pressure, augmentation index and carotid–femoral pulse wave velocity. Pearson’s correlation coefficients and multivariable linear regression models estimated parent–child concordance.ResultsHypertension was present in 3.9% of children and 9.0% of parents. Mean child and parent values for augmentation index were 4.5% (SD 11.6) and 21.3% (SD 12.3), respectively, and those for carotid–femoral pulse wave velocity were 4.48 m/s (SD 0.59) and 6.85 m/s (SD 1.14), respectively. Parent–child correlation for brachial systolic blood pressure was 0.20 (95% CI 0.15 to 0.24), brachial diastolic blood pressure 0.21 (95% CI 0.16 to 0.26), central systolic blood pressure 0.21 (95% CI 0.16 to 0.25), central diastolic blood pressure 0.21 (95% CI0.17 to 0.26), central pulse pressure 0.19 (95% CI 0.14 to 0.24), augmentation index 0.28 (95% CI 0.23 to 0.32) and pulse wave velocity 0.22 (95% CI 0.18 to 0.27).ConclusionsWe report Australian values for traditional and more novel vascular function markers, providing a reference for future population studies. Cross-generational concordance in multiple vascular function markers is already established by age 11–12 years, with mechanisms of heritability remaining to be explored.

scholarly journals Pulse wave velocity and central aortic pressure in systolic blood pressure intervention trial participants

PLoS ONE ◽  
2018 ◽  
Vol 13 (9) ◽  
pp. e0203305 ◽  
Author(s):  
Mark A. Supiano ◽  
Laura Lovato ◽  
Walter T. Ambrosius ◽  
Jeffrey Bates ◽  
Srinivasan Beddhu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Pulse Wave Velocity ◽  
Systolic Blood Pressure ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Aortic Pressure ◽  
Intervention Trial ◽  
Central Aortic Pressure ◽  
Trial Participants

scholarly journals Insulin Increases Central Aortic Stiffness in Response To Hyperglycemia in Healthy Humans: A Randomized Four-Way Crossover Study

2021 ◽  
Author(s):  
William B Horton ◽  
Linda A Jahn ◽  
Lee M Hartline ◽  
Kevin W Aylor ◽  
James T Patrie ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Pressure ◽  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Diastolic Blood Pressure ◽  
Wave Velocity ◽  
Wave Reflection ◽  
Pulse Wave ◽  
Augmentation Index ◽  
Healthy Humans

Abstract Introduction: Increasing arterial stiffness is a feature of vascular aging that is accelerated by conditions that enhance cardiovascular risk, including diabetes mellitus. Multiple studies demonstrate divergence of carotid-femoral pulse wave velocity and augmentation index in persons with diabetes mellitus, though mechanisms responsible for this are unclear.Materials and Methods: We tested the effect of acutely and independently increasing plasma glucose, plasma insulin, or both on hemodynamic function and markers of arterial stiffness (including carotid-femoral pulse wave velocity, augmentation index, forward and backward wave reflection amplitude, and wave reflection magnitude) in a four-arm, randomized study of healthy young adults.Results: Carotid-femoral pulse wave velocity increased only during hyperglycemic-hyperinsulinemia (+0.36 m/s; p=0.032), while other markers of arterial stiffness did not change (all p>0.05). Heart rate (+3.62 bpm; p=0.009), mean arterial pressure (+4.14 mmHg; p=0.033), central diastolic blood pressure (+4.16 mmHg; p=0.038), and peripheral diastolic blood pressure (+4.09 mmHg; p=0.044) also significantly increased during hyperglycemic-hyperinsulinemia.Conclusions: We conclude that the acute combination of moderate hyperglycemia and hyperinsulinemia preferentially stiffens central elastic arteries. This effect may be due to increased sympathetic activity. (ClinicalTrials.gov number NCT03520569; registered 9 May 2018).

Evaluation of arterial stiffness and central blood pressure by oscillometric method in normotensive offspring of hypertensive parents

2021 ◽  
pp. 1-8
Author(s):  
Cansu Sivrikaya Yildirim ◽  
Pelin Kosger ◽  
Tugcem Akin ◽  
Birsen Ucar
Keyword(s):  
Blood Pressure ◽  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Diastolic Blood Pressure ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Pulse Wave Analysis ◽  
Control Group ◽  
Study Group ◽  
Wave Analysis

Abstract Children with a family history of hypertension have higher blood pressure and hypertensive pathophysiological changes begin before clinical findings. Here, the presence of arterial stiffness was investigated using central blood pressure measurement and pulse wave analysis in normotensive children with at least one parent with essential hypertension. Twenty-four-hour ambulatory pulse wave analysis monitoring was performed by oscillometric method in a study group of 112 normotensive children of hypertensive parents aged between 7 and 18 comparing with a control group of 101 age- and gender-matched normotensive children of normotensive parents. Pulse wave velocity, central systolic and diastolic blood pressure, systolic, diastolic and mean arterial blood pressure values were higher in the study group than the control group (p < 0.001, p = 0.002, p = 0.008, p = 0.001, p = 0.005, p = 0.001, p = 0.001, respectively). In all age groups (7–10, 11–14, and 15–18 years), pulse wave velocity was higher in the study group than the control group (p < 0.001). Pulse wave velocity was higher in children whose both parents are hypertensive compared to the children whose only mothers are hypertensive (p = 0.011). Pulse wave velocity values were positively correlated with age, weight, height, and body mass index (p < 0.05). Higher pulse wave velocity, central systolic and diastolic blood pressure values detected in the study group can be considered as early signs of hypertensive vascular changes. Pulse wave analysis can be a reliable, non-invasive, and reproducible method that can allow taking necessary precautions regarding lifestyle to prevent disease and target organ damage by detecting early hypertensive changes in genetically risky children.

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