Predicting "heart age" using electrocardiography

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

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.

• Jezik: Angleški jezik
• Ključne besede: cardiology, personalized medicine, electrocardiogram, heart age, Bayesian statistics, cardiac age, statistical model, electrocardiography
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: MF - Medicinska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2014
• Št. strani: Str. 65-78
• Številčenje: Vol. 4, iss. 1
• PID: 20.500.12556/RUL-129232
• UDK: 616.1
• ISSN pri članku: 2075-4426
• DOI: 10.3390/jpm4010065
• COBISS.SI-ID: 31208153
• Datum objave v RUL: 30.08.2021

Gradivo je del revije

• Naslov: Journal of personalized medicine
• Skrajšan naslov: J. pers. med.
• Založnik: MDPI
• ISSN: 2075-4426
• COBISS.SI-ID: 31207641

Licence

• Licenca: CC BY 3.0, Creative Commons Priznanje avtorstva 3.0 Nedoločena
• Povezava: https://creativecommons.org/licenses/by/3.0/deed.sl
• Opis: Dovoljuje kopiranje in razširjanje vsebin v kakršnemkoli mediju in obliki. Dovoljuje remixanje, urejanje, predelava in vključevanje vsebine v lastna dela v vse namene, tudi komercialne. Primerno morate navesti avtorja, povezavo do licence in označiti spremembe, če so kakšne nastale. To lahko storite na kakršenkoli razumen način, vendar ne na način, ki bi namigoval na to, da dajalec licence podpira vas ali vašo uporabo dela. Ne smete uporabiti pravnih določil ali tehničnih ukrepov, ki bi pravno omejili ali onemogočilo druge, da bi storili karkoli, kar licenca dovoli.
• Začetek licenciranja: 07.03.2014

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: starost srca, statistični model, elektrokardiografija

Projekti

• Financer: Drugi - Drug financer ali več financerjev
• Program financ.: NASA Graduate Student Researchers Program Fellowship
• Številka projekta: NNX11AN08H