Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging

Background An artificial intelligence algorithm that detects age using the 12‐lead ECG has been suggested to signal “physiologic age.” This study aimed to investigate the association of peripheral microvascular endothelial function (PMEF) as an index of vascular aging, with accelerated physiologic a...

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Main Authors: Takumi Toya, Ali Ahmad, Zachi Attia, Michal Cohen‐Shelly, Ilke Ozcan, Peter A Noseworthy, Francisco Lopez‐Jimenez, Suraj Kapa, Lilach O Lerman, Paul A Friedman, Amir Lerman
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Subjects:
Online Access:https://www.ahajournals.org/doi/10.1161/JAHA.120.018656
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author Takumi Toya
Ali Ahmad
Zachi Attia
Michal Cohen‐Shelly
Ilke Ozcan
Peter A Noseworthy
Francisco Lopez‐Jimenez
Suraj Kapa
Lilach O Lerman
Paul A Friedman
Amir Lerman
author_facet Takumi Toya
Ali Ahmad
Zachi Attia
Michal Cohen‐Shelly
Ilke Ozcan
Peter A Noseworthy
Francisco Lopez‐Jimenez
Suraj Kapa
Lilach O Lerman
Paul A Friedman
Amir Lerman
author_sort Takumi Toya
collection DOAJ
description Background An artificial intelligence algorithm that detects age using the 12‐lead ECG has been suggested to signal “physiologic age.” This study aimed to investigate the association of peripheral microvascular endothelial function (PMEF) as an index of vascular aging, with accelerated physiologic aging gauged by ECG‐derived artificial intelligence–estimated age. Methods and Results This study included 531 patients who underwent ECG and a noninvasive PMEF assessment using reactive hyperemia peripheral arterial tonometry. Abnormal PMEF was defined as reactive hyperemia peripheral arterial tonometry index ≤2.0. Accelerated or delayed physiologic aging was calculated by the Δ age (ECG‐derived artificial intelligence–estimated age minus chronological age), and the association between Δ age and PMEF as well as its impact on composite major adverse cardiovascular events were investigated. Δ age was higher in patients with abnormal PMEF than in patients with normal PMEF (2.3±7.8 versus 0.5±7.7 years; P=0.01). Reactive hyperemia peripheral arterial tonometry index was negatively associated with Δ age after adjustment for cardiovascular risk factors (standardized β coefficient, –0.08; P=0.048). The highest quartile of Δ age was associated with an increased risk of major adverse cardiovascular events compared with the first quartile of Δ age in patients with abnormal PMEF, even after adjustment for cardiovascular risk factors (hazard ratio, 4.72; 95% CI, 1.24–17.91; P=0.02). Conclusions Vascular aging detected by endothelial function is associated with accelerated physiologic aging, as assessed by the artificial intelligence–ECG Δ age. Patients with endothelial dysfunction and the highest quartile of accelerated physiologic aging have a marked increase in risk for cardiovascular events.
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spelling doaj.art-7e16cb44b7194e859b7f533539cceb9e2022-12-21T18:13:10ZengWileyJournal of the American Heart Association: Cardiovascular and Cerebrovascular Disease2047-99802021-02-0110310.1161/JAHA.120.018656Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological AgingTakumi Toya0Ali AhmadZachi Attia1Michal Cohen‐Shelly2Ilke Ozcan3Peter A Noseworthy4Francisco Lopez‐Jimenez5Suraj Kapa6Lilach O Lerman7Paul A Friedman8Amir Lerman9Department of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDivision of Nephrology and Hypertension Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNDepartment of Cardiovascular Medicine Mayo Clinic Rochester MNBackground An artificial intelligence algorithm that detects age using the 12‐lead ECG has been suggested to signal “physiologic age.” This study aimed to investigate the association of peripheral microvascular endothelial function (PMEF) as an index of vascular aging, with accelerated physiologic aging gauged by ECG‐derived artificial intelligence–estimated age. Methods and Results This study included 531 patients who underwent ECG and a noninvasive PMEF assessment using reactive hyperemia peripheral arterial tonometry. Abnormal PMEF was defined as reactive hyperemia peripheral arterial tonometry index ≤2.0. Accelerated or delayed physiologic aging was calculated by the Δ age (ECG‐derived artificial intelligence–estimated age minus chronological age), and the association between Δ age and PMEF as well as its impact on composite major adverse cardiovascular events were investigated. Δ age was higher in patients with abnormal PMEF than in patients with normal PMEF (2.3±7.8 versus 0.5±7.7 years; P=0.01). Reactive hyperemia peripheral arterial tonometry index was negatively associated with Δ age after adjustment for cardiovascular risk factors (standardized β coefficient, –0.08; P=0.048). The highest quartile of Δ age was associated with an increased risk of major adverse cardiovascular events compared with the first quartile of Δ age in patients with abnormal PMEF, even after adjustment for cardiovascular risk factors (hazard ratio, 4.72; 95% CI, 1.24–17.91; P=0.02). Conclusions Vascular aging detected by endothelial function is associated with accelerated physiologic aging, as assessed by the artificial intelligence–ECG Δ age. Patients with endothelial dysfunction and the highest quartile of accelerated physiologic aging have a marked increase in risk for cardiovascular events.https://www.ahajournals.org/doi/10.1161/JAHA.120.018656artificial intelligenceperipheral microvascular endothelial dysfunctionphysiological agereactive hyperemia peripheral arterial tonometry indexvascular age
spellingShingle Takumi Toya
Ali Ahmad
Zachi Attia
Michal Cohen‐Shelly
Ilke Ozcan
Peter A Noseworthy
Francisco Lopez‐Jimenez
Suraj Kapa
Lilach O Lerman
Paul A Friedman
Amir Lerman
Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
artificial intelligence
peripheral microvascular endothelial dysfunction
physiological age
reactive hyperemia peripheral arterial tonometry index
vascular age
title Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
title_full Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
title_fullStr Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
title_full_unstemmed Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
title_short Vascular Aging Detected by Peripheral Endothelial Dysfunction Is Associated With ECG‐Derived Physiological Aging
title_sort vascular aging detected by peripheral endothelial dysfunction is associated with ecg derived physiological aging
topic artificial intelligence
peripheral microvascular endothelial dysfunction
physiological age
reactive hyperemia peripheral arterial tonometry index
vascular age
url https://www.ahajournals.org/doi/10.1161/JAHA.120.018656
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