Artery Research

Volume 25, Issue Supplement 1, December 2019, Pages S2 - S2

1.2 Chronological Versus Vascular Age: Predictive Value for Cardiovascular Events and Identification of Patients with SUPERNOrmal Vascular Aging (SUPERNOVA)

Authors
Rosa Maria Bruno1, 2, *, Peter Nilsson3, Gunnar Ensgrtom3, Benjamin Wadstrom3, Jean-Philippe Empana2, Pierre Boutouyrie4, Stephane Laurent4
1University of Pisa, Pisa, Italy
2INSERM, U970, Paris Cardiovascular Research Center –PARCC, Paris, France
3Lund University, Skane University Hospital, Malmo, Sweden
4APHP, Hôpital Européen Georges Pompidou, Paris, France
*Corresponding author. Email: rosam.bruno@gmail.com
Corresponding Author
Rosa Maria Bruno
Available Online 15 February 2020.
DOI
10.2991/artres.k.191224.002How to use a DOI?
Abstract

Background: Individuals whose arteries appears abnormally healthy in comparison to their CV risk factor burden (supernormal vascular aging, SUPERNOVA) represent an ideal model to discover novel pathways of cardiovascular protection. Purpose: 1) to introduce a novel definition of vascular age, as predicted age based on CV risk factors and PWV; 2) to test the hypothesis that individuals with the largest difference between chronological and vascular age (C-Vage) show a lower rate of CV events, and may thus be defined as SUPERNOVA.

Methods: The best fitting model for age prediction was investigated in the multicenter, European, cross-sectional Reference Values for Arterial stiffness Collaboration Database (n = 11406). A survival analysis on the longitudinal cohort of the Malmo Diet and Cancer Study (MDCS, n = 2663) was then performed. The main outcome was a composite endpoint of fatal and non-fatal major cardiac events and strokes.

Results: In the Reference Values Cohort, the model explained 59.8% of age variance, with PWV being the most relevant predictor (r2: 0.105). The model (derived on population >61 years) was used to calculate vascular age in the MDCS Cohort. In the Cox survival analysis (follow-up 6.6 years, 286 events), C-Vage was significantly and inversely associated with CV events (Figure 1). Individuals in the highest C-Vage decile (>8.8 years) were defined as SUPERNOVA. In the competing risk analysis, SUPERNOVA had a reduced age-adjusted rate of CV events [HR 0.51 (0.34–0.76)].

Conclusion: This proof-of-concept study demonstrated that SUPERNOVA individuals have a disproportionally lower rate of CV events. Future studies are needed to explore genetic/molecular mechanisms for this phenotype.

Copyright
© 2019 Association for Research into Arterial Structure and Physiology. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Journal
Artery Research
Volume-Issue
25 - Supplement 1
Pages
S2 - S2
Publication Date
2020/02/15
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.2991/artres.k.191224.002How to use a DOI?
Copyright
© 2019 Association for Research into Arterial Structure and Physiology. Publishing services by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Rosa Maria Bruno
AU  - Peter Nilsson
AU  - Gunnar Ensgrtom
AU  - Benjamin Wadstrom
AU  - Jean-Philippe Empana
AU  - Pierre Boutouyrie
AU  - Stephane Laurent
PY  - 2020
DA  - 2020/02/15
TI  - 1.2 Chronological Versus Vascular Age: Predictive Value for Cardiovascular Events and Identification of Patients with SUPERNOrmal Vascular Aging (SUPERNOVA)
JO  - Artery Research
SP  - S2
EP  - S2
VL  - 25
IS  - Supplement 1
SN  - 1876-4401
UR  - https://doi.org/10.2991/artres.k.191224.002
DO  - 10.2991/artres.k.191224.002
ID  - Bruno2020
ER  -