HeartAge-gap

HeartAge-gap predicts composite cardiovascular outcome in humans (HR: 1.113, 95% CI: 1.025-1.210).

“In female MESA participants only, increased HeartAge-gap predicted the cardiovascular outcome (HR: 1.113, 95% CI: 1.025-1.210, P = 0.011) independently of chronological age and other confounders.”

Humansindependently of chronological age and other confoundersfemalesn = 472

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

European heart journal. Cardiovascular Imaging·4 Dec 2025

HeartAge-gap raises the risk of composite cardiovascular outcome in humans (HR: 1.022, 95% CI: 1.001-1.044).

“Each one-year increase in HeartAge-gap, was associated with the composite cardiovascular outcome in females (HR: 1.022, 95% CI: 1.001-1.044, P = 0.048)”

Humansindependently of chronological age and confounders including, body-mass-index, ischaemic heart disease, diabetes, and hypertensionmedian 5.5-year follow-up (IQR: 4.7-7.1)femalesn = 16,640

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

European heart journal. Cardiovascular Imaging·4 Dec 2025

HeartAge-gap predicts mortality in humans (HR: 1.061, 95% CI: 1.007-1.118).

“In females only, increased HeartAge-gap predicted all-cause mortality (HR: 1.061, 95% CI: 1.007-1.118, P = 0.027), regardless of chronological age.”

Humansregardless of chronological agemedian 5.5-year follow-up (IQR: 4.7-7.1)femalesn = 16,640

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

European heart journal. Cardiovascular Imaging·4 Dec 2025