Predicting "heart age" using electrocardiography
ID Ball, Robyn L. (Author), ID Feiveson, Alan H. (Author), ID Schlegel, Todd T. (Author), ID Starc, Vito (Author), ID Dabney, Alan R. (Author)

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Knowledge of a patient's cardiac age, or "heart age", could prove useful to both patients and physicians for better encouraging lifestyle changes potentially beneficial for cardiovascular health. This may be particularly true for patients who exhibit symptoms but who test negative for cardiac pathology. We developed a statistical model, using a Bayesian approach, that predicts an individual's heart age based on his/her electrocardiogram (ECG). The model is tailored to healthy individuals, with no known risk factors, who are at least 20 years old and for whom a resting ∼5 min 12-lead ECG has been obtained. We evaluated the model using a database of ECGs from 776 such individuals. Secondarily, we also applied the model to other groups of individuals who had received 5-min ECGs, including 221 with risk factors for cardiac disease, 441 with overt cardiac disease diagnosed by clinical imaging tests, and a smaller group of highly endurance-trained athletes. Model-related heart age predictions in healthy non-athletes tended to center around body age, whereas about three-fourths of the subjects with risk factors and nearly all patients with proven heart diseases had higher predicted heart ages than true body ages. The model also predicted somewhat higher heart ages than body ages in a majority of highly endurance-trained athletes, potentially consistent with possible fibrotic or other anomalies recently noted in such individuals.

Keywords:cardiology, personalized medicine, electrocardiogram, heart age, Bayesian statistics, cardiac age, statistical model, electrocardiography
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:MF - Faculty of Medicine
Publication status:Published
Publication version:Version of Record
Number of pages:Str. 65-78
Numbering:Vol. 4, iss. 1
PID:20.500.12556/RUL-129232 This link opens in a new window
ISSN on article:2075-4426
DOI:10.3390/jpm4010065 This link opens in a new window
COBISS.SI-ID:31208153 This link opens in a new window
Publication date in RUL:30.08.2021
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Record is a part of a journal

Title:Journal of personalized medicine
Shortened title:J. pers. med.
COBISS.SI-ID:31207641 This link opens in a new window


License:CC BY 3.0, Creative Commons Attribution 3.0 Unported
Description:You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Licensing start date:07.03.2014

Secondary language

Keywords:starost srca, statistični model, elektrokardiografija


Funder:Other - Other funder or multiple funders
Funding programme:NASA Graduate Student Researchers Program Fellowship
Project number:NNX11AN08H

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