Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study

被引:13
作者
Brant, Luisa C. C. [1 ,2 ]
Ribeiro, Antonio H. [3 ]
Pinto-Filho, Marcelo M. [2 ]
Kornej, Jelena [11 ]
Preis, Sarah R. [4 ]
Fetterman, Jessica L. [8 ,9 ]
Eromosele, Oseiwe B.
Magnani, Jared W. [7 ]
Murabito, Joanne M. [6 ,10 ]
Larson, Martin G. [4 ,6 ]
Benjamin, Emelia J. [5 ,6 ,11 ]
Ribeiro, Antonio L. P. [1 ,2 ]
Lin, Honghuang [12 ]
机构
[1] Univ Fed Minas Gerais, Fac Med, Belo Horizonte, Brazil
[2] Univ Fed Minas Gerais, Hosp Clin, Telehlth Ctr, Belo Horizonte, Brazil
[3] Uppsala Univ, Dept Informat Technol, Uppsala, Sweden
[4] Boston Univ, Sch Publ Hlth, Dept Biostat, Framingham, MA USA
[5] Boston Univ, Sch Publ Hlth, Dept Epidemiol, Framingham, MA USA
[6] Boston Univ, Sch Publ Hlth, MA Framingham Heart Study, Framingham, MA USA
[7] Univ Pittsburgh, Ctr Res Hlth Care, Dept Med, Pittsburgh, PA USA
[8] Boston Med Ctr, Evans Dept Med, Boston, MA USA
[9] Whitaker Cardiovasc Inst, Boston, MA USA
[10] Boston Med Ctr, Sect Gen Internal Med, Boston, MA USA
[11] Boston Med Ctr, Sect Cardiovasc Med, Boston, MA USA
[12] Univ Massachusetts, Chan Med Sch, Dept Med, 55 Lake Ave N, S6-755, Worcester 01655, MA USA
来源
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES | 2023年 / 16卷 / 07期
关键词
artificial intelligence; atrial fibrillation; cardiovascular diseases; electrocardiogram; heart failure; myocardial infarction; risk factors; ATRIAL-FIBRILLATION; RISK-FACTORS; MORTALITY; ABNORMALITIES; SURVIVAL; DISEASE; COHORT;
D O I
10.1161/CIRCOUTCOMES.122.009821
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND:Deep neural networks have been used to estimate age from ECGs, the electrocardiographic age (ECG-age), which predicts adverse outcomes. However, this prediction ability has been restricted to clinical settings or relatively short periods. We hypothesized that ECG-age is associated with death and cardiovascular outcomes in the long-standing community-based FHS (Framingham Heart Study). METHODS:We tested the association of ECG-age with chronological age in the FHS cohorts in ECGs from 1986 to 2021. We calculated the gap between chronological and ECG-age (& UDelta;age) and classified individuals as having normal, accelerated, or decelerated aging, if & UDelta;age was within, higher, or lower than the mean absolute error of the model, respectively. We assessed the associations of & UDelta;age, accelerated and decelerated aging with death or cardiovascular outcomes (atrial fibrillation, myocardial infarction, and heart failure) using Cox proportional hazards models adjusted for age, sex, and clinical factors. RESULTS:The study population included 9877 FHS participants (mean age, 55 & PLUSMN;13 years; 54.9% women) with 34 948 ECGs. ECG-age was correlated to chronological age (r=0.81; mean absolute error, 9 & PLUSMN;7 years). After 17 & PLUSMN;8 years of follow-up, every 10-year increase of & UDelta;age was associated with 18% increase in all-cause mortality (hazard ratio [HR], 1.18 [95% CI, 1.12-1.23]), 23% increase in atrial fibrillation risk (HR, 1.23 [95% CI, 1.17-1.29]), 14% increase in myocardial infarction risk (HR, 1.14 [95% CI, 1.05-1.23]), and 40% increase in heart failure risk (HR, 1.40 [95% CI, 1.30-1.52]), in multivariable models. In addition, accelerated aging was associated with a 28% increase in all-cause mortality (HR, 1.28 [95% CI, 1.14-1.45]), whereas decelerated aging was associated with a 16% decrease (HR, 0.84 [95% CI, 0.74-0.95]). CONCLUSIONS:ECG-age was highly correlated with chronological age in FHS. The difference between ECG-age and chronological age was associated with death, myocardial infarction, atrial fibrillation, and heart failure. Given the wide availability and low cost of ECG, ECG-age could be a scalable biomarker of cardiovascular risk.
引用
收藏
页码:457 / 465
页数:9
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