A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age: development and validation in the UK-biobank and multi-ethnic study of atherosclerosis
A biologically older cardiovascular system was independently associated with adverse cardiovascular outcomes across both sexes. In females, advanced cardiovascular ageing also predicts all-cause mortality, irrespective of chronological age.
Authors
- Reza Razavi (ORCID: https://orcid.org/0000-0003-1065-3008)
- Claire J. Steves (ORCID: https://orcid.org/0000-0002-4910-0489)
- Geoffrey H. Tison (ORCID: https://orcid.org/0000-0002-0310-3326)
- Bram Ruijsink (ORCID: https://orcid.org/0000-0001-8313-5709)
- Valentina Lorenzoni (ORCID: https://orcid.org/0000-0002-9948-0301)
- Ashkan Abdollahi (ORCID: https://orcid.org/0000-0003-3009-9307)
- Andrew P. King (ORCID: https://orcid.org/0000-0002-9965-7015)
- Amedeo Chiribiri (ORCID: https://orcid.org/0000-0003-3394-4289)
- Alistair A. Young (ORCID: https://orcid.org/0000-0001-5702-4220)
- Pier Giorgio Masci (ORCID: https://orcid.org/0000-0001-5196-9530)
- Bharath Ambale‐Venkatesh (ORCID: https://orcid.org/0000-0002-2330-2373)
- Phil Chowienczyk (ORCID: https://orcid.org/0000-0003-4507-038X)
- Gianni Andreozzi (ORCID: https://orcid.org/0000-0003-1735-211X)
- Esther Puyol‐Antón (ORCID: https://orcid.org/0000-0002-9789-6629)
- Aqeel T Mohamed (ORCID: https://orcid.org/0000-0002-1108-1892)
- João L. M. P. de Lima (ORCID: https://orcid.org/0000-0002-0135-2249)
- Marina Cecilja
- Richard Mospan
Institutions
- University of London (GB)
- Johns Hopkins University (US)
- Scuola Superiore Sant'Anna (IT)
- King's College - North Carolina (US)
- University of California, San Francisco (US)
- King's College London (GB)
- Johns Hopkins Medicine (US)
- British Heart Foundation (GB)
- London School of Hygiene & Tropical Medicine (GB)
- King's College School (GB)
- Johns Hopkins Hospital (US)
Publication Details
- Journal
- European Heart Journal - Cardiovascular Imaging
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1093/ehjci/jeaf337
- Citations
- 1
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- National Heart, Lung, and Blood Institute
- National Center for Advancing Translational Sciences