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Zanelli S, Agnoletti D, Alastruey J, Allen J, Bianchini E, Bikia V, Boutouyrie P, Bruno RM, Climie R, Djeldjli D, Gkaliagkousi E, Giudici A, Gopcevic K, Grillo A, Guala A, Hametner B, Joseph J, Karimpour P, Kodithuwakku V, Kyriacou PA, Lazaridis A, Lønnebakken MT, Martina MR, Mayer CC, Nabeel PM, Navickas P, Nemcsik J, Orter S, Park C, Pereira T, Pucci G, Rey ABA, Salvi P, Seabra ACG, Seeland U, van Sloten T, Spronck B, Stansby G, Steens I, Stieglitz T, Tan I, Veerasingham D, Wassertheurer S, Weber T, Westerhof BE, Charlton PH. Developing technologies to assess vascular ageing: a roadmap from VascAgeNet. Physiol Meas 2024; 45:121001. [PMID: 38838703 PMCID: PMC11697036 DOI: 10.1088/1361-6579/ad548e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 03/15/2024] [Accepted: 06/05/2024] [Indexed: 06/07/2024]
Abstract
Vascular ageing (vascular ageing) is the deterioration of arterial structure and function which occurs naturally with age, and which can be accelerated with disease. Measurements of vascular ageing are emerging as markers of cardiovascular risk, with potential applications in disease diagnosis and prognosis, and for guiding treatments. However, vascular ageing is not yet routinely assessed in clinical practice. A key step towards this is the development of technologies to assess vascular ageing. In this Roadmap, experts discuss several aspects of this process, including: measurement technologies; the development pipeline; clinical applications; and future research directions. The Roadmap summarises the state of the art, outlines the major challenges to overcome, and identifies potential future research directions to address these challenges.
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Affiliation(s)
- Serena Zanelli
- Laboratoire Analyse, Géométrie et Applications, Université Sorbonne Paris Nord, Paris, France
- Axelife, Paris, France
| | - Davide Agnoletti
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Policlinico Sant’Orsola, Bologna, Italy
- Cardiovascular Medicine Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Jordi Alastruey
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London, London SE1 7EU, United Kingdom
| | - John Allen
- Research Centre for Intelligent Healthcare, Coventry University, Coventry CV1 5RW, United Kingdom
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
| | - Elisabetta Bianchini
- Institute of Clinical Physiology, Italian National Research Council (CNR), Pisa, Italy
| | - Vasiliki Bikia
- Stanford University, Stanford, California, United States
- Swiss Federal Institute of Technology of Lausanne, Lausanne, Switzerland
| | - Pierre Boutouyrie
- INSERM U970 Team 7, Paris Cardiovascular Research Centre
- PARCC, University Paris Descartes, AP-HP, Pharmacology Unit, Hôpital Européen Georges Pompidou, 56
Rue Leblanc, Paris 75015, France
| | - Rosa Maria Bruno
- INSERM U970 Team 7, Paris Cardiovascular Research Centre
- PARCC, University Paris Descartes, AP-HP, Pharmacology Unit, Hôpital Européen Georges Pompidou, 56
Rue Leblanc, Paris 75015, France
| | - Rachel Climie
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | | | | | - Alessandro Giudici
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands
- GROW Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, Netherlands
| | | | - Andrea Grillo
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
| | - Andrea Guala
- Vall d’Hebron Institut de Recerca (VHIR), Barcelona, Spain
- CIBER-CV, Instituto de Salud Carlos III, Madrid, Spain
| | - Bernhard Hametner
- Center for Health & Bioresources, Medical Signal Analysis, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Jayaraj Joseph
- Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600 036, India
| | - Parmis Karimpour
- Research Centre for Biomedical Engineering, City, University of London, London EC1V 0HB, United Kingdom
| | | | - Panicos A Kyriacou
- Research Centre for Biomedical Engineering, City, University of London, London EC1V 0HB, United Kingdom
| | - Antonios Lazaridis
- Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mai Tone Lønnebakken
- Department of Heart Disease, Haukeland University Hospital and Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - Christopher Clemens Mayer
- Center for Health & Bioresources, Medical Signal Analysis, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - P M Nabeel
- Healthcare Technology Innovation Centre, IIT Madras, Chennai 600 113, India
| | - Petras Navickas
- Clinic of Cardiac and Vascular Diseases, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - János Nemcsik
- Department of Family Medicine, Semmelweis University, Budapest, Hungary
| | - Stefan Orter
- Center for Health & Bioresources, Medical Signal Analysis, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Chloe Park
- MRC Unit for Lifelong Health and Ageing at UCL, 1–19 Torrington Place, London WC1E 7HB, UK
| | - Telmo Pereira
- Polytechnic University of Coimbra, Coimbra Health School, Rua 5 de Outubro—S. Martinho do Bispo, Apartado 7006, 3046-854 Coimbra, Portugal
| | - Giacomo Pucci
- Department of Medicine and Surgery, University of Perugia, Perugia, Italy
- Unit of Internal Medicine, ‘Santa Maria’ Terni Hospital, Terni, Italy
| | - Ana Belen Amado Rey
- Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering—IMTEK, IMBIT—NeuroProbes, BrainLinks-BrainTools Center, University of Freiburg, Freiburg, Germany
| | - Paolo Salvi
- Istituto Auxologico Italiano, IRCCS, Milan, Italy
| | - Ana Carolina Gonçalves Seabra
- Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering—IMTEK, IMBIT—NeuroProbes, BrainLinks-BrainTools Center, University of Freiburg, Freiburg, Germany
| | - Ute Seeland
- Institute of Social Medicine, Epidemiology and Health Economics, Charitè—Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Thomas van Sloten
- Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Bart Spronck
- Department of Biomedical Engineering, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, Netherlands
- Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University,
Sydney, Australia
| | - Gerard Stansby
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne NE2 4HH, United Kingdom
- Northern Vascular Centre, Freeman Hospital, Newcastle upon Tyne NE7 7DN, United Kingdom
| | - Indra Steens
- Department of Internal Medicine, Maastricht University, Maastricht, The Netherlands
| | - Thomas Stieglitz
- Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering—IMTEK, IMBIT—NeuroProbes, BrainLinks-BrainTools Center, University of Freiburg, Freiburg, Germany
- Bernstein Center Freiburg, University of Freiburg, Freiburg, Germany
| | - Isabella Tan
- Macquarie University, Sydney, Australia
- The George Institute for Global Health, Sydney, Australia
| | | | - Siegfried Wassertheurer
- Center for Health & Bioresources, Medical Signal Analysis, AIT Austrian Institute of Technology GmbH, Vienna, Austria
| | - Thomas Weber
- Cardiology Department, Klinikum Wels-Grieskirchen, Wels, Austria
| | - Berend E Westerhof
- Department of Pulmonary Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Department of Neonatology, Radboud University Medical Center, Radboud Institute for Health Sciences, Amalia Children’s Hospital, Nijmegen, The Netherlands
| | - Peter H Charlton
- Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, United Kingdom
- Research Centre for Biomedical Engineering, City, University of London, London EC1V 0HB, United Kingdom
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Gyöngyösi H, Szőllősi GJ, Csenteri O, Jancsó Z, Móczár C, Torzsa P, Andréka P, Vajer P, Nemcsik J. Differences between SCORE, Framingham Risk Score, and Estimated Pulse Wave Velocity-Based Vascular Age Calculation Methods Based on Data from the Three Generations Health Program in Hungary. J Clin Med 2023; 13:205. [PMID: 38202212 PMCID: PMC10779891 DOI: 10.3390/jcm13010205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
Early vascular ageing contributes to cardiovascular (CV) morbidity and mortality. There are different possibilities to calculate vascular age including methods based on CV risk scores, but different methods might identify different subjects with early vascular ageing. We aimed to compare SCORE and Framingham Risk Score (FRS)-based vascular age calculation methods on subjects that were involved in a national screening program in Hungary. We also aimed to compare the distribution of subjects identified with early vascular ageing based on estimated pulse wave velocity (ePWV). The Three Generations for Health program focuses on the development of primary health care in Hungary. One of the key elements of the program is the identification of risk factors of CV diseases. Vascular ages based on the SCORE and FRS were calculated based on previous publications and were compared with chronological age and with each other in the total population and in patients with hypertension or diabetes. ePWV was calculated based on a method published previously. Supernormal, normal, and early vascular ageing were defined as <10%, 10-90%, and >90% ePWV values for the participants. In total, 99,231 subjects were involved in the study, and among them, 49,191 patients had hypertension (HT) and 15,921 patients had diabetes (DM). The chronological age of the total population was 54.0 (48.0-60.0) years, while the SCORE and FRS vascular ages were 59.0 (51.0-66.0) and 64.0 (51-80) years, respectively. In the HT patients, the chronological, SCORE, and FRS vascular ages were 57.0 (51.0-62.0), 63.0 (56.0-68.0), and 79.0 (64.0-80.0) years, respectively. In the DM patients, the chronological, SCORE, and FRS vascular ages were 58.0 (52.0-62.0), 63.0 (56.0-68.0), and 80.0 (76.0-80.0) years, respectively. Based on ePWV, the FRS identified patients with an elevated vascular age with high sensitivity (97.3%), while in the case of the SCORE, the sensitivity was much lower (13.3%). In conclusion, different vascular age calculation methods can provide different vascular age results in a population-based cohort. The importance of this finding for the implementation in CV preventive strategies requires further studies.
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Affiliation(s)
- Helga Gyöngyösi
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary; (H.G.); (C.M.); (P.T.)
| | - Gergő József Szőllősi
- Gottsegen National Cardiovascular Center, 1096 Budapest, Hungary; (G.J.S.); (O.C.); (Z.J.); (P.A.)
- Coordination Center for Research in Social Sciences, Faculty of Economics and Business, University of Debrecen, 4032 Debrecen, Hungary
| | - Orsolya Csenteri
- Gottsegen National Cardiovascular Center, 1096 Budapest, Hungary; (G.J.S.); (O.C.); (Z.J.); (P.A.)
| | - Zoltán Jancsó
- Gottsegen National Cardiovascular Center, 1096 Budapest, Hungary; (G.J.S.); (O.C.); (Z.J.); (P.A.)
| | - Csaba Móczár
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary; (H.G.); (C.M.); (P.T.)
| | - Péter Torzsa
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary; (H.G.); (C.M.); (P.T.)
| | - Péter Andréka
- Gottsegen National Cardiovascular Center, 1096 Budapest, Hungary; (G.J.S.); (O.C.); (Z.J.); (P.A.)
| | - Péter Vajer
- Gottsegen National Cardiovascular Center, 1096 Budapest, Hungary; (G.J.S.); (O.C.); (Z.J.); (P.A.)
| | - János Nemcsik
- Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary; (H.G.); (C.M.); (P.T.)
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