Predicting "heart age" using electrocardiography

Ball, Robyn L. (author), Feiveson, Alan H. (author), Schlegel, Todd T. (author), Starc, Vito (author), Dabney, Alan R. (author)

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.

• Language: English
• 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
• Year: 2014
• Number of pages: Str. 65-78
• Numbering: Vol. 4, iss. 1
• PID: 20.500.12556/RUL-129232
• UDC: 616.1
• ISSN on article: 2075-4426
• DOI: 10.3390/jpm4010065
• COBISS.SI-ID: 31208153
• Publication date in RUL: 30.08.2021

Record is a part of a journal

• Title: Journal of personalized medicine
• Shortened title: J. pers. med.
• Publisher: MDPI
• ISSN: 2075-4426
• COBISS.SI-ID: 31207641

Licences

• License: CC BY 3.0, Creative Commons Attribution 3.0 Unported
• Link: https://creativecommons.org/licenses/by/3.0/deed.en
• 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

• Language: Slovenian
• Keywords: starost srca, statistični model, elektrokardiografija

Projects

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