izpis_h1_title_alt

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

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Izvleček
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 Povezava se odpre v novem oknu
UDK:616.1
ISSN pri članku:2075-4426
DOI:10.3390/jpm4010065 Povezava se odpre v novem oknu
COBISS.SI-ID:31208153 Povezava se odpre v novem oknu
Datum objave v RUL:30.08.2021
Število ogledov:753
Število prenosov:119
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del revije

Naslov:Journal of personalized medicine
Skrajšan naslov:J. pers. med.
Založnik:MDPI
ISSN:2075-4426
COBISS.SI-ID:31207641 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 3.0, Creative Commons Priznanje avtorstva 3.0 Nedoločena
Povezava:https://creativecommons.org/licenses/by/3.0/deed.sl
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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

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