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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Reza Razavi, Claire J. Steves, Geoffrey H. Tison, Bram Ruijsink et al.
1 citations
European Heart Journal - Cardiovascular Imaging
Genetic Associations and Epidemiology
1.82
article

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

Reza Razavi, Claire J. Steves, Geoffrey H. Tison, Bram Ruijsink, Valentina Lorenzoni, Ashkan Abdollahi, Andrew P. King, Amedeo Chiribiri, Alistair A. Young, Pier Giorgio Masci, Bharath Ambale‐Venkatesh, Phil Chowienczyk, Gianni Andreozzi, Esther Puyol‐Antón, Aqeel T Mohamed, João L. M. P. de Lima, Marina Cecilja, Richard Mospan
article en
1 citations

Abstract

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.

European Heart Journal - Cardiovascular ImagingVol. 27(3)
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)
National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences
Openalex Percentile: Top 11%
Genetic Associations and Epidemiology
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.