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Jacobs JEJ, Greason G, Mangold KE, Wildiers H, Willems R, Janssens S, Noseworthy P, Lopez-Jimenez F, Voigt JU, Friedman P, Van Aelst L, Vandenberk B, Attia ZI, Herrmann J. Artificial Intelligence ECG as a Novel Screening Tool to Detect a Newly Abnormal Left Ventricular Ejection Fraction After Anthracycline-Based Cancer Therapy. Eur J Prev Cardiol 2023:zwad348. [PMID: 37943680 DOI: 10.1093/eurjpc/zwad348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/15/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023]
Abstract
AIM Cardiotoxicity is a serious side effect of anthracycline treatment, most commonly manifesting as a reduction in left ventricular ejection fraction (LVEF). Early recognition and treatment have been advocated, but robust, convenient and cost-effective alternatives to cardiac imaging are missing. Recent developments in artificial intelligence (AI) techniques applied to electrocardiograms (ECGs) may fill this gap, but no study so far has demonstrated its merit for the detection of an abnormal LVEF after anthracycline therapy. METHODS Single center consecutive cohort study of all breast cancer patients with ECG and transthoracic echocardiography (TTE) evaluation before and after (neo)adjuvant anthracycline chemotherapy. Patients with HER-2-directed therapy, metastatic disease, second primary malignancy or pre-existing cardiovascular disease were excluded from the analyses as were patients with LVEF decline for reasons other than anthracycline-induced cardiotoxicity. Primary readout was the diagnostic performance of AI-ECG by area under the curve (AUC) for LVEFs <50%. RESULTS Of 989 consecutive female breast cancer patients, 22 developed a decline in LVEF attributed to anthracycline therapy over a follow-up time of 9.83 ± 4.2 years. After exclusion of patients who did not have an ECGs within 90 days of a TTE, 20 cases and 683 controls remained. The AI-ECG model detected an LVEF <50% and ≤35% after anthracycline therapy with an AUC of 0.93 and 0.94, respectively. CONCLUSIONS These data support the use of AI-ECG for cardiotoxicity screening after anthracycline-based chemotherapy. This technology could serve as a gatekeeper to more costly cardiac imaging and could enable patients to monitor themselves over long periods of time.
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Affiliation(s)
- Johanna E J Jacobs
- Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Grace Greason
- Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA
| | - Kathryn E Mangold
- Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA
| | - Hans Wildiers
- Department of Oncology, University Hospitals Leuven, Leuven Belgium
| | - Rik Willems
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Stefan Janssens
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Peter Noseworthy
- Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA
| | | | - Jens-Uwe Voigt
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Paul Friedman
- Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA
| | - Lucas Van Aelst
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | - Bert Vandenberk
- Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium
| | | | - Joerg Herrmann
- Department of Cardiovascular diseases, Mayo Clinic, Rochester, MN, USA
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