Reimagining the Value of Brachial-Ankle Pulse Wave Velocity as a Biomarker of Cardiovascular Disease Risk—A Call to Action on Behalf of VascAgeNet

Author:

Stone Keeron12ORCID,Veerasingam Dave3ORCID,Meyer Michelle L.4,Heffernan Kevin S.5,Higgins Simon6,Maria Bruno Rosa78ORCID,Bueno Celia Alvarez910,Döerr Marcus1112ORCID,Schmidt-Trucksäss Arno1314ORCID,Terentes-Printzios Dimitrios15ORCID,Voicehovska Jūlija1617ORCID,Climie Rachel E.18ORCID,Park Chloe19,Pucci Giacomo20ORCID,Bahls Martin12ORCID,Stoner Lee62122ORCID,

Affiliation:

1. Centre for Cardiovascular Health and Ageing, Cardiff Metropolitan University, Cardiff, Wales, United Kingdom (K.S.).

2. National Cardiovascular Research Network, Wales (K.S.).

3. Cardiothoracic Surgery, Galway University Hospital, Ireland (D.V.).

4. Department of Emergency Medicine, University of North Carolina at Chapel Hill (M.L.M.).

5. Department of Exercise Science, Syracuse University (K.S.H.).

6. Department of Exercise and Sport Science, University of North Carolina, Chapel Hill (S.H., L.S.).

7. Université Paris Cité, Inserm, PARCC, France (R.M.B.).

8. Clinical Pharmacology Unit, AP-HP, Hôpital européen Georges Pompidou, Paris, France (R.M.B.).

9. Health and Social Research Center, Universidad de Castilla La Mancha, Cuenca, Spain (C.A.B.).

10. Universidad Politécnica y Artística del Paraguay, Asunción, Paraguay (C.A.B.).

11. Department of Internal Medicine B, University Medicine Greifswald, Germany (M.D., M.B.).

12. German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Germany (M.D., M.B.).

13. Department of Sport, Exercise, and Health (A.S.-T.), University of Basel, Switzerland.

14. Department of Clinical Research, University Hospital Basel (A.S.-T.), University of Basel, Switzerland.

15. First Department of Cardiology, Athens Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, Greece (D.T.-P.).

16. Internal Diseases Department, Riga Stradins University, Latvia (J.V.).

17. Nephrology and Renal Replacement Clinics, Riga East University Hospital, Latvia (J.V.).

18. Menzies Institute for Medical Research, University of Tasmania (R.E.C.).

19. MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, London, United Kingdom (C.P.).

20. Department of Medicine, University of Perugia, Unit of Internal Medicine, “Santa Maria” Terni Hospital, Italy (G.P.).

21. Department of Epidemiology, Gillings School of Public Health, University of North Carolina, Chapel Hill (L.S.).

22. Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill (L.S.).

Abstract

This review critiques the literature supporting clinical assessment and management of cardiovascular disease and cardiovascular disease risk stratification with brachial-ankle pulse wave velocity (baPWV). First, we outline what baPWV actually measures—arterial stiffness of both large central elastic arteries and medium-sized muscular peripheral arteries of the lower limb. Second, we argue that baPWV is not a surrogate for carotid-femoral pulse wave velocity. While both measures are dependent on the properties of the aorta, baPWV is also strongly dependent on the muscular arteries of the lower extremities. Increased lower-extremity arterial stiffness amplifies and hastens wave reflections at the level of the aorta, widens pulse pressure, increases afterload, and reduces coronary perfusion. Third, we used an established evaluation framework to identify the value of baPWV as an independent vascular biomarker. There is sufficient evidence to support (1) proof of concept; (2) prospective validation; (3) incremental value; and (4) clinical utility. However, there is limited or no evidence to support (5) clinical outcomes; (6) cost-effectiveness; (8) methodological consensus; or (9) reference values. Fourth, we address future research requirements. The majority of the evaluation criteria, (1) proof of concept, (2) prospective validation, (3) incremental value, (4) clinical utility and (9) reference values, can be supported using existing cohort datasets, whereas the (5) clinical outcomes and (6) cost-effectiveness criteria require prospective investigation. The (8) methodological consensus criteria will require an expert consensus statement. Finally, we finish this review by providing an example of a future clinical practice model.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

Reference68 articles.

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