20.500.12556/RUL-129232 Predicting "heart age" using electrocardiography 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. cardiology personalized medicine electrocardiogram heart age Bayesian statistics cardiac age statistical model electrocardiography starost srca statistični model elektrokardiografija true false true Angleški jezik Slovenski jezik Članek v reviji 2021-08-30 15:24:56 2021-08-30 15:24:59 2022-09-08 04:07:24 0000-00-00 00:00:00 2014 0 0 Str. 65-78 iss. 1 Vol. 4 Mar. 2014 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616.1 2075-4426 10.3390/jpm4010065 31208153 RAZ_Ball_Robyn_L._2014.pdf RAZ_Ball_Robyn_L._2014.pdf 1 533B1871AEAD73E5618ED58D8DE31E14 fdd9d1ef2c91f60014cf348b68132b919341a5cd89f7f4704ea3314efdbf1f46 4f01d268-0996-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=146191 http://www.mdpi.com/2075-4426/4/1/65 1 724b4deb-0995-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=146190 Medicinska fakulteta 0 0 0