Artificial intelligence-derived cardiac ageing is associated with cardiac events post-heart transplantation
  • Ozcan, I.
  • Toya, T.
  • Cohen-Shelly, M.
  • Park, H.W.
  • Ahmad, A.
  • 외 8명
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초록

Aims: An artificial intelligence algorithm detecting age from 12-lead electrocardiogram (ECG) has been suggested to reflect 'physiological age'. An increased physiological age has been associated with a higher risk of cardiac mortality in the non-transplant population. We aimed to investigate the utility of this algorithm in patients who underwent heart transplantation (HTx). Methods and results: A total of 540 patients were studied. The average ECG ages within 1 year before and after HTx were used to represent pre- and post-HTx ECG ages. Major adverse cardiovascular event (MACE) was defined as any coronary revascularization, heart failure hospitalization, re-transplantation, and mortality. Recipient pre-transplant ECG age (mean 63 ± 11 years) correlated significantly with recipient chronological age (mean 49 ± 14 years, R = 0.63, P < 0.0001), while post-transplant ECG age (mean 54 ± 10 years) correlated with both the donor (mean 32 ± 13 years, R = 0.45, P < 0.0001) and the recipient ages (R = 0.38, P < 0.0001). During a median follow-up of 8.8 years, 307 patients experienced MACE. Patients with an increase in ECG age post-transplant showed an increased risk of MACE [hazard ratio (HR): 1.58, 95% confidence interval (CI): (1.24, 2.01), P = 0.0002], even after adjusting for potential confounders [HR: 1.58, 95% CI: (1.19, 2.10), P = 0.002]. Conclusion: Electrocardiogram age-derived cardiac ageing after transplantation is associated with a higher risk of MACE. This study suggests that physiological age change of the heart might be an important determinant of MACE risk post-HTx. © 2022 The Author(s). Published by Oxford University Press on behalf of the European Society of Cardiology.

키워드

Artificial intelligenceCardiac allograft vasculopathyElectrocardiogramHeart transplantationCORONARY-ARTERY-DISEASEALLOGRAFT VASCULOPATHYENDOTHELIAL DYSFUNCTIONINTERNATIONAL SOCIETYWORKING FORMULATIONNOMENCLATUREREJECTIONPREDICTS
제목
Artificial intelligence-derived cardiac ageing is associated with cardiac events post-heart transplantation
저자
Ozcan, I.Toya, T.Cohen-Shelly, M.Park, H.W.Ahmad, A.Ozcan, A.Noseworthy, P.A.Kapa, S.Lerman, L.O.Attia, Z.I.Kushwaha, S.S.Friedman, P.A.Lerman, A.
DOI
10.1093/ehjdh/ztac051
발행일
2022-12
유형
Article
저널명
European Heart Journal - Digital Health
3
4
페이지
516 ~ 524