Abstract

BackgroundAortic stiffness is an independent predictor of cardiovascular morbidity and mortality; thus, simple, rapid and preferably automated techniques are indispensable for pursuing a global risk stratification approach. We present an oscillometric technique for determination of the carotid-femoral pulse wave velocity (cfPWV), including the diagnostic accuracy, sensitivity and specificity, with emphasis on the training curve and procedural duration.MethodsIn a single-centre crossover study, we evaluated subjects free of known cardiovascular disease (CVD), subjects with CVD and a subgroup of subjects with peripheral artery disease (PAD) in terms of ankle-brachial index (ABI) and PWV measurements determined by oscillometry compared to tonometry. Pearson’s correlation analysis was used to assess the relationship of the PWV measurements determined by both methods. Moreover, the time and cost of the examinations were compared.ResultsA total of 176 study subjects underwent assessments to obtain oscillometric and tonometric PWV measurements. The CVD-free subjects (n = 59) were younger (60.4±15.6 vs. 67.5±12.9 years, p = 0.003) than the subjects with CVD (n = 117). The PWV measurements showed significant correlations in CVD-free subjects (r = 0.797, p<0.001), in subjects with CVD (r = 0.817, p<0.001) and in the subgroup of subjects with PAD (r = 0.807, p<0.001). The examination duration was shorter for the oscillometric method than the tonometric method (4.4±0.5 vs. 9.2±0.8 min, p<0.001).ConclusionUsing a simple and rapid automated oscillometric method, we achieved good diagnostic accuracy for the determination of aortic stiffness through the PWV in both subjects with and without CVD. This method might be helpful in daily practice in terms of saving time and reducing procedural complexity for screening for cardiovascular morbidities and vascular damage in cases of atherosclerosis.

Highlights

  • Endothelial dysfunction, atherogenic alterations and vascular stiffness are key in the development and perpetuation of cardiovascular disease

  • Aortic stiffness is an independent predictor of cardiovascular morbidity and mortality; simple, rapid and preferably automated techniques are indispensable for pursuing a global risk stratification approach

  • We present an oscillometric technique for determination of the carotid-femoral pulse wave velocity, including the diagnostic accuracy, sensitivity and specificity, with emphasis on the training curve and procedural duration

Read more

Summary

Introduction

Endothelial dysfunction, atherogenic alterations and vascular stiffness are key in the development and perpetuation of cardiovascular disease. Increased aortic stiffness reflects advanced vascular alterations associated with ageing, CVD, diabetes and renal disease and is independently associated with higher rates of all-cause cardiovascular morbidity and mortality [4,5,6,7]. The carotid-femoral pulse wave velocity (cfPWV) is the current gold standard for the non-invasive assessment of aortic stiffness [9], and emerging evidence supports that central haemodynamics might be superior to brachial blood pressure in assessing cardiovascular risk and evaluating target organ damage [10,11,12]. Aortic stiffness is an independent predictor of cardiovascular morbidity and mortality; simple, rapid and preferably automated techniques are indispensable for pursuing a global risk stratification approach. We present an oscillometric technique for determination of the carotid-femoral pulse wave velocity (cfPWV), including the diagnostic accuracy, sensitivity and specificity, with emphasis on the training curve and procedural duration

Objectives
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.