Aortic Pulse Wave Velocity Index Research Articles

Coronary heart disease diagnosis by artificial neural networks including aortic pulse wave velocity index and clinical parameters.

Cardiovascular disease, such as coronary heart disease (CHD), are the main cause of mortality and morbidity worldwide. CHD is not entirely predicted by classic risk factors; however, they are preventable. Facing this major problem, the development of novel methods for CHD risk prediction is of practical interest. The purpose of our study was to construct an artificial neural networks (ANNs)-based diagnostic model for CHD risk using a complex of clinical and haemodynamics factors of this disease and aortic pulse wave velocity (PWV) index. A total of 437 patients were included from 2012 to 2017: 99 CHD and 338 non-CHD patients. Theoretical PWV was calculated, on 93 patients free of hypertension, diabetes and CHD, according to age, blood pressure, sex and heart rate. The results were expressed as an index [(measured PWV - theoretical PWV)/theoretical PWV] for each patient. The original database for ANNs included clinical, haemodynamic and laboratory characteristics. Multilayered perceptron ANNs architecture were applied. The performance of prediction was evaluated by accuracy values based on standard definitions. By changing the types of ANNs and the number of input factors applied, we created models that demonstrated 0.63-0.93 accuracy. The best accuracy was obtained with ANNs topology of multilayer perceptron with three hidden layers for models, parameters included by both biological factors, carotid plaque and PWV index. ANNs models including a PWV index could be used as promising approaches for predicting CHD risk without the need for invasive diagnostic methods and may help in the clinical decision.

Added value of aortic pulse wave velocity index for the detection of coronary heart disease by elective coronary angiography

Background: Non-invasive tests leading to elective coronary angiography (CAG) have low diagnostic yield for obstructive coronary heart disease (CHD). Aortic stiffness, an independent predictor of CHD events can be easily measured by pulse wave velocity (PWV). We aimed at retrospectively evaluating the diagnostic accuracy PWV index to detect CHD in consecutive patients with suspected CHD that underwent CAG.Method: In population of 86 healthy patients with available PWV data, a theoretical PWV was derived. In different population of 62 individuals who underwent CAG for suspected CHD, PWV index was calculated as index [(measured PWV – theoretical PWV)/theoretical PWV]. Logistic regression and comparisons between ROC curves were used to add value of CAG indication performance of PWV index.Results: Out of 62, seventeen patients presented obstructive CHD and 22 patients had non-obstructive CHD. PWV index and severity of CHD were positively correlated (p < 0.0001). After applying several models that included classical CHD predictor, the higher performance to detect abnormal CAG was obtained with the combined classifier PWV index/carotid plaque with 87% sensitivity, 93% specificity, 0.92 accuracy and 0.31 threshold. To detect obstructive CAG, individual classifier PWV index presents 94% sensitivity, 91% specificity, 0.95 accuracy and 0.46 threshold.Conclusion: PWV index is individualized approach that optimizes CHD diagnostic strategies and thus might be clinically useful for reducing the rate of unnecessary invasive CAG.

Added Value of Aortic Pulse Wave Velocity Index in a Predictive Diagnosis Decision Tree of Coronary Heart Disease.

Coronary heart disease (CHD) is among the main causes of death in the world. Individual study of cardiovascular risk is an important way to predict CHD risk. The aim of this study was to evaluate the added role of the aortic pulse wave velocity (PWV) index in the prediction of CHD risk. A cross-sectional study was conducted from December 2012 to September 2017; 530 patients were included: 99 CHD, 338 non-CHD patients, and 93 nonhypertensives, nondiabetics and non-CHD subjects, whose theoretical PWV were calculated. Theoretical PWV was calculated according to age, blood pressure, gender, and heart rate. The results were expressed as an index ((measured PWV - theoretical PWV)/theoretical PWV) for each patient. The differences observed, the differential diagnostic performance, and the quantification of the added value of diagnostic performance of PWV index were tested using logistic regression, comparisons between receiver operating characteristic (ROC) curves, and decision tree nonlinear methodology. PWV index (P = 0.006), carotid plaque (P = 0.005), and dyslipidemia (P = 0.04) were the independent modulators of CHD diagnosis. PWV index appears to be the highest specific classifier (81%) compared to carotid plaque (75%) and dyslipidemia (78%). For the decision tree, sensitivity, specificity, and area under the ROC curve for CHD diagnosis were 62%, 83%, and 0.87, respectively. PWV index yielded added value to CHD by assessment of combined classifiers with clinical determinants and decision tree construction and significantly increased the specificity of the differential diagnostic performances of the common risk factors of CHD in daily clinical practice.

Determinants of the aortic pulse wave velocity index in hypertensive and diabetic patients: predictive and therapeutic implications.

Aortic stiffness may provide information to classical risk factors information regarding cardiovascular risk. Aortic pulse wave velocity (PWV) can be measured by applanation tonometry but also theoretical PWV was calculated according to age, blood pressure, heart rate and sex. We aim to highlight biological and hemodynamic determinants of the aortic PWV index, that is the individually calculated [(measured PWV - theoretical PWV)/theoretical PWV] difference, in hypertensive diabetic patients. A cross-sectional study was conducted in 514 patients, involving normotensive and hypertensive patients and people with and without diabetes. Biological parameters were measured during day-hospital for cardiovascular screening. Hemodynamic parameters were determined by applanation tonometry. Multivariate regression analyses evaluated the PWV index determinants. Hypertensive and/or diabetic population presents higher PWV index in correlation with the presence of proteinuria (P = 0.0428) and previous cardiovascular events (P = 0.0227). Hypertensive diabetic patients present a higher PWV index than the other patients (P < 0.05). Presence of insulin therapy (P = 0.0101) and the type 1 diabetes (P = 0.0065) were positively and independently modulating PWV index in hypertensive diabetic patients. HDL cholesterol levels (P = 0.0245) and absence of carotid (P = 0.0468) plaques were independently modulating PWV index with a negative correlation in hypertensive without diabetes patients. C reactive protein levels were significantly associated with increased PWV index in hypertensive patients (P = 0.0074) and in hypertensive and/or diabetic population (P = 0.0184). PWV index was correlated with numerous cardiovascular risk factors, in addition of being a marker of age and hypertension. Therefore, this index appears as a cardiovascular risk integrator. Its use could be interesting in cardiovascular risk assessment and reduction strategies.

Aortic stiffness improves the prediction of both diagnosis and severity of coronary artery disease

Elective coronography presents low diagnostic yield for obstructive coronary artery disease (CAD). Better strategies for CAD screening are required to reduce unnecessary invasive procedures. We aim to determine whether non-invasive aortic stiffness assessment improves diagnostic accuracy of CAD screening by reducing the number of false-positive results of cardiac stress test. A cross-sectional study was conducted from January 2013 to September 2014 in our medical center. Electrocardiogram (ECG) stress test coupled with nuclear imaging was performed in 367 consecutive patients routinely followed-up, for myocardial ischemia screening. Aortic pulse wave velocity (PWV) was assessed by applanation tonometry in overall population. Forty-two patients underwent elective coronography because of ischemia. Theoretical PWV was calculated according to age, blood pressure and gender. Results were expressed as an index ([measured PWV-theoretical PWV]/theoretical PWV) for each patient. Ten patients presented with obstructive CAD, 16 patients had non-obstructive CAD and 16 patients had normal coronary angiography. PWV index and severity of CAD were positively correlated ( P = 0.001). All patient with obstructive CAD had positive PWV index. When considering retrospectively PWV index, false positive results of cardiac stress test were significantly reduced ( P < 0.001). Twenty-three procedures may have been avoided in the present study cohort ( Fig. 1 ). The salient finding of this study was that, in patients with known or suspected CAD, routinely followed-up, aortic PWV index may be considered as clinically useful to reduce the rate of unnecessary invasive angiographies. The clinical relevance of this individualized decision approach should be confirmed in a large-scale study. Prospective studies shall have the potential to further evaluate PWV index as a marker of CAD.

Aortic stiffness improves the prediction of both diagnosis and severity of coronary artery disease.

Elective coronography has low diagnostic yield for obstructive coronary artery disease (CAD). We aim to determine whether non-invasive aortic stiffness assessment improves diagnostic accuracy of CAD screening by reducing the number of false-positive results from the cardiac stress test. A cross-sectional study was conducted from January 2013 to September 2014 in our medical center. Electrocardiogram (ECG) stress test coupled with nuclear imaging was performed in 367 consecutive patients routinely followed for myocardial ischemia screening. Aortic pulse wave velocity (PWV) was assessed by applanation tonometry in the overall population. Forty-two patients underwent elective coronography because of ischemia. Theoretical PWV was calculated according to age, blood pressure and gender. The results were expressed as an index ((measured PWV-theoretical PWV)/theoretical PWV) for each patient. Ten patients presented with obstructive CAD, 16 patients had non-obstructive CAD and 16 patients had normal coronary angiography. PWV index and severity of CAD were positively correlated (P=0.001). All patients with obstructive CAD had a positive PWV index. When considering the PWV index retrospectively, the false positive results of cardiac stress test were significantly reduced (P<0.001). Twenty-three procedures may have been avoided in the present study cohort. The salient finding of this study was that in patients with known or suspected CAD, routinely followed aortic PWV index may be considered clinically useful for reducing the rate of unnecessary invasive angiographies. The clinical relevance of this individualized decision approach should be confirmed in a large-scale study. Prospective studies have the potential to evaluate the PWV index as a marker of CAD.

Arterial Stiffness and Risk of Coronary Heart Disease and Stroke

Arterial stiffness has been associated with the risk of cardiovascular disease in selected groups of patients. We evaluated whether arterial stiffness is a predictor of coronary heart disease and stroke in a population-based study among apparently healthy subjects. The present study included 2835 subjects participating in the third examination phase of the Rotterdam Study. Arterial stiffness was measured as aortic pulse wave velocity and carotid distensibility. Cox proportional hazards regression analysis was performed to compute hazard ratios. During follow-up, 101 subjects developed coronary heart disease (mean follow-up period, 4.1 years), and 63 subjects developed a stroke (mean follow-up period, 3.2 years). The risk of cardiovascular disease increased with increasing aortic pulse wave velocity index. Hazard ratios and corresponding 95% CIs of coronary heart disease for subjects in the second and third tertiles of the aortic pulse wave velocity index compared with subjects in the reference category were 1.72 (0.91 to 3.24) and 2.45 (1.29 to 4.66), respectively, after adjustment for age, gender, mean arterial pressure, and heart rate. Corresponding estimates for stroke were 1.22 (0.55 to 2.70) and 2.28 (1.05 to 4.96). Estimates decreased only slightly after adjustment for cardiovascular risk factors, carotid intima-media thickness, the ankle-arm index, and pulse pressure. The aortic pulse wave velocity index provided additional predictive value above cardiovascular risk factors, measures of atherosclerosis, and pulse pressure. Carotid distensibility as measured in this study was not independently associated with cardiovascular disease. Aortic pulse wave velocity is an independent predictor of coronary heart disease and stroke in apparently healthy subjects.

Aortic pulse wave velocity index and mortality in end-stage renal disease

Aortic pulse wave velocity (PWV) is a strong independent predictor of overall and cardiovascular mortality in patients with end-stage renal disease (ESRD). Nevertheless, because age, blood pressure, heart rate, and gender are strong determinants of both arterial stiffness and mortality, the individual relevance of PWV measurements remains controversial. A cohort of 242 patients with ESRD undergoing hemodialysis was studied for a mean (+/- SD) duration of 78 +/- 46 months. At entry, together with standard clinical and biochemical analyses, PWV was measured using Doppler ultrasonography. On the basis of a nomogram established on 469 nonuremic subjects, a theoretical value of PWV was determined in ESRD patients according to their age, blood pressure, gender, and heart period. The PWV index (measured PWV - theoretical PWV) was then calculated for each individual ESRD patient. Based on Cox analysis, the PWV index, but neither pulse pressure nor cardiac mass, was a strong and independent predictor of both cardiovascular and overall mortality, together with age and time on dialysis before inclusion. Patients with positive (versus negative) PWV index had a twofold adjusted risk of mortality during the follow-up. Per each 1 meter/second PWV index increment, we observed a 34% (crude) and a 14% (adjusted) increase in both cardiovascular and overall mortality (P < 0.02 for all). In ESRD patients, the calculation of a PWV index provides information about cardiovascular and overall mortality risk with high predictive power, showing that PWV measurements provide discriminatory prognostic power over and above conventional cardiovascular risk factors.

Effect of physical activity on the distensibility of the aortic wall in healthy males.

To study the effect of physical activity level on the distensibility of the human aortic wall, aortic pulse wave velocity (APWV) was estimated in 139 healthy male subjects (19-67 years) and was related to the energy expenditure by habitual physical exercise (physical activity index: PAI), which was evaluated by a 7-day total activity recall. The subjects consisted of 56 fun runners (runner group) and 83 general subjects, who were divided into 25 active subjects (active group: PAI > or = 1,500 kcal/week) and 58 sedentary subjects (sedentary group: PAI < 1,500 kcal/week). The APWV index (APWVI: standardized APWV by the diastolic blood pressure) was found to be positively correlated with age and was negatively correlated with PAI. The age-adjusted APWVI of the runner group was significantly lower than that of the active and sedentary groups. The age-adjusted APWVI was also significantly lower in the active group than in the sedentary group. These results suggest that increased physical activity may retard the age-dependent loss of arterial distensibility in humans, in proportion to the amount and/or intensity of exercise.