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Electrocardiogram derived heart age models agreement, accuracy and predictive ability in the Tromsø study
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  • Published: 20 March 2026

Electrocardiogram derived heart age models agreement, accuracy and predictive ability in the Tromsø study

  • Arya Panthalanickal Vijayakumar1,
  • Tom Wilsgaard1,
  • Henrik Schirmer2,3,
  • Ernest Diez Benavente4,
  • René van Es5,
  • Rutger R. van de Leur5,
  • Haakon Lindekleiv6,
  • Zachi I. Attia7,
  • Francisco Lopez-Jimenez7,
  • David A. Leon8 &
  • …
  • Olena Iakunchykova9 

npj Aging , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Cardiology
  • Diseases
  • Medical research
  • Risk factors

Abstract

Convolutional neural networks (CNNs) can estimate electrocardiogram (ECG)-based heart age. We compared three published CNNs in the Tromsø Study cohort (7,108 participants) for accuracy, agreement, and prognostic value. Mean absolute error versus chronological age was 6.8, 7.8, and 6.4 years. Correlations with age were ~0.71–0.73 and agreement across CNNs was high (overall ICC 0.86). Using Cox models, we estimated hazard ratios per SD of δ-age (ECG age minus chronological age) for myocardial infarction, stroke, cardiovascular mortality, and all-cause mortality; discrimination was quantified by cross-validated C-index. δ-age predicted higher risk across outcomes; associations were strongest for δ-age1 with myocardial infarction and all-cause mortality (HR 1.36 (1.11, 1.67) and 1.27 (1.08, 1.50)) and for δ-age2 with stroke and cardiovascular mortality (HR 1.45 (1.17, 1.80) and 1.48 (1.07, 2.05)). C-indices were similar across models. Despite architectural and training-set differences, CNNs yielded consistent ECG ages and comparable risk prediction in an external population.

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Data availability

Data may be obtained from a third party and are not publicly available. The data supporting the findings in this study are available through an application directed to The Tromsø Study by following the steps presented on their webpage. https://uit.no/research/tromsostudy.

Code availability

The underlying code for this study is available in the GitHub repository (https://github.com/Arya200196/PhD_ECG-age-comparison).

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Acknowledgements

This work was supported by Northern Norway Regional Health Authority, grant number HNF1636-22. The funder played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript.

Funding

Open access funding provided by UiT The Arctic University of Norway (incl University Hospital of North Norway).

Author information

Authors and Affiliations

  1. Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway

    Arya Panthalanickal Vijayakumar & Tom Wilsgaard

  2. Akershus University Hospital, Lørenskog, Norway

    Henrik Schirmer

  3. Institute of Clinical Medicine, Campus Ahus, University of Oslo, Oslo, Norway

    Henrik Schirmer

  4. Department of Experimental Cardiology University Medical Center Utrecht, Utrecht, The Netherlands

    Ernest Diez Benavente

  5. Department of Cardiology University Medical Center Utrecht, Utrecht, The Netherlands

    René van Es & Rutger R. van de Leur

  6. Department of Radiology, University Hospital of North, Oslo, Norway

    Haakon Lindekleiv

  7. Mayo Clinic College of Medicine, Rochester, MN, USA

    Zachi I. Attia & Francisco Lopez-Jimenez

  8. Department of Noncommunicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom

    David A. Leon

  9. Department of Psychology, University of Oslo, Oslo, Norway

    Olena Iakunchykova

Authors
  1. Arya Panthalanickal Vijayakumar
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Contributions

O.I., D.A.L., and A.P.V. conceived and designed the study. T.W., H.S., and H.L. collected data for the study, Z.I.A. processed the data, A.P.V. and T.W. performed statistical analysis, E.D.B., R.v.E., R.R.v.d.L., F.L.J., D.A.L., H.S., O.I. interpreted the results. A.P.V. drafted the manuscript. O.I., F.J.L., T.W., H.S., H.L., Z.I.A, E.D.B., R.v.E., R.R.v.d.L., and D.A.L. critically revised and approved the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Arya Panthalanickal Vijayakumar.

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Competing interests

The authors declare no competing interests.

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Supplementary information

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Panthalanickal Vijayakumar, A., Wilsgaard, T., Schirmer, H. et al. Electrocardiogram derived heart age models agreement, accuracy and predictive ability in the Tromsø study. npj Aging (2026). https://doi.org/10.1038/s41514-026-00344-2

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  • Received: 28 September 2025

  • Accepted: 28 January 2026

  • Published: 20 March 2026

  • DOI: https://doi.org/10.1038/s41514-026-00344-2

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