Abstract 4361396: Cardiometabolic Therapy Reduces Electrocardiogram-Derived Biological Age: A Time-Weighted Analysis

W Wojciech Losos (UMass T.H. Chan Medical School, Worcester, Massachusetts, United States) Z Zehao Ye (UMass T.H. Chan Medical School, Worcester, Massachusetts, United States) H Honghuang Lin (Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health and Boston University, Framingham, MA, USA.) D David McManus (UMass Chan Medical School, Worcester, Massachusetts, United States) A Apurv Soni

Abstract

Background: Electrocardiogram-derived age is a novel biomarker generated using artificial intelligence that reflects physiological rather than chronological aging. A higher electrocardiogram-derived age relative to chronological age, or “delta age,” has been linked to increased cardiovascular risk. While behavioral changes have been shown to improve delta age, the effect of cardiometabolic drug therapy on this biomarker remains unclear. Methods: We conducted a retrospective cohort study using electronic health records mapped to a common data model. Adults with at least two electrocardiograms within 24 months who initiated therapy with a glucagon-like peptide-1 receptor agonist, sodium-glucose cotransporter 2 inhibitor, or proprotein convertase subtilisin/kexin type 9 inhibitor were included. Delta age was defined as electrocardiogram age minus chronological age. Patients were categorized as having accelerated (>5 years), normal (±5 years), or decelerated (<−5 years) aging. We calculated time-weighted mean delta age before and after drug initiation to account for irregular electrocardiogram timing. The primary outcome was the change in time-weighted mean delta age and transition in aging category. Odds ratios were used to quantify the likelihood of improvement. Results: Among 1,178 patients with adequate data, 78.6 percent experienced a reduction in delta age following treatment. Of those with accelerated aging at baseline, 56 percent transitioned to normal or decelerated aging. Favorable category transitions were supported by strong odds ratios: 14.03, 9.88, and 10.57, calculated from contingency tables. These findings suggest that cardiometabolic therapy is strongly associated with improvement in biological aging classification based on electrocardiogram signals. Conclusion: Cardiometabolic drug initiation was associated with significant reductions in electrocardiogram-derived biological age. Patients with accelerated aging were the most likely to benefit, with over half shifting to a healthier classification. These results support electrocardiogram-derived age as a dynamic, treatment-responsive biomarker with potential clinical utility in monitoring therapeutic response and guiding preventive cardiovascular care.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (5)

W

Wojciech Losos

UMass T.H. Chan Medical School, Worcester, Massachusetts, United States

Z

Zehao Ye

UMass T.H. Chan Medical School, Worcester, Massachusetts, United States

H

Honghuang Lin

Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health and Boston University, Framingham, MA, USA.

D

David McManus

UMass Chan Medical School, Worcester, Massachusetts, United States

A

Apurv Soni