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DOI 10.1016/j.jacep.2025.11.014

Медицинская библиотека · JACC. Clinical electrophysiology · 2025

Preimplantation AI-ECG Age as a Predictor of Survival Following Cardiac Resynchronization Therapy.

Gupta Anshul R, Kumar Ashish, Cao Jenny Jia Ling, Harmon David M, Friedman Paul A, Attia Zachi, Noseworthy Peter A, Madhavan Malini, Siontis Konstantinos C, Sugrue Alan, Tan Nicholas Y, Killu Ammar M, Ezzeddine Fatima M, DeSimone Christopher V, Lopez-Jimenez Francisco, Del-Carpio Munoz Freddy, de Melo Jose F, Liu Xiaoke, Mulpuru Siva, Rodriguez Victor, Asirvatham Samuel, Kowlgi Gurukripa Narayan, Cha Yong-Mei, Lee Justin Z, Deshmukh Abhishek J

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

BACKGROUND

About one-third of patients with heart failure with reduced ejection fraction remain nonresponders to guideline-directed cardiac resynchronization therapy. An algorithm for age prediction using an artificial intelligence-enabled electrocardiography (AI-ECG) has been proposed as a marker of a patient's "biological" age.

OBJECTIVES

This study aimed to evaluate the utility of the preimplantation AI-ECG age in predicting survival post cardiac resynchronization therapy with defibrillator (CRT-D).

METHODS

We retrospectively reviewed records of patients who underwent CRT-D at the Mayo Clinic between January 1, 2001 and September 30, 2022. All patients with left ventricular ejection fraction ≤35%, QRS duration ≥120 milliseconds, and CRT-D were included. The primary endpoint was all-cause mortality. From preimplantation ECGs, chronological age and AI-ECG age were obtained using the Mayo Clinic AI-ECG age algorithm. The δage was calculated as the patient's AI-ECG age minus the chronological age. Survival analyses were conducted.

RESULTS

A total of 464 patients were included. Patients with δage < 0 were chronologically older with a greater incidence of hypertension, coronary artery disease, hyperlipidemia, and peripheral vascular disease (P < 0.05). In multivariable analyses, with δage as a continuous variable, a lower δage correlated with longer survival post implantation (time ratio: 0.96; P = 0.007). Other markers of prolonged survival included a lower chronological age, nonischemic cardiomyopathy, absence of advanced chronic kidney disease, and hypertension. As a categorical variable, δage >5.1 years portended shorter survival than a δage between -5.1 and 5.1 years (time ratio: 0.62; P = 0.017).

CONCLUSIONS

Preimplantation AI-ECG-derived δage is an independent predictor of survival post-CRT-D. The lower the AI-ECG age compared to the chronological age, the longer the post-CRT-D survival, possibly reflective of a lower "biologic" age.

Для цитирования: Gupta Anshul R, Kumar Ashish, Cao Jenny Jia Ling, Harmon David M, Friedman Paul A, Attia Zachi, Noseworthy Peter A, Madhavan Malini, Siontis Konstantinos C, Sugrue Alan, Tan Nicholas Y, Killu Ammar M, Ezzeddine Fatima M, DeSimone Christopher V, Lopez-Jimenez Francisco, Del-Carpio Munoz Freddy, de Melo Jose F, Liu Xiaoke, Mulpuru Siva, Rodriguez Victor, Asirvatham Samuel, Kowlgi Gurukripa Narayan, Cha Yong-Mei, Lee Justin Z, Deshmukh Abhishek J. Preimplantation AI-ECG Age as a Predictor of Survival Following Cardiac Resynchronization Therapy.. JACC. Clinical electrophysiology. 2025. DOI: 10.1016/j.jacep.2025.11.014.

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