Artificial intelligence-derived electrocardiographic age gap as a predictor of mortality after coronary revascularization: prognostic value and short-term intra-patient variability.

Eur Heart J Digit Health · 2026 · PMC12994139 · PMID 41853636

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did not reach statistical significanceP = 0.09so close (0.05 < p ≤ 0.1)

showed a trendno p-value reported

The landmark analysis starting 6 months post-procedure indicated that patients with an increased age gap post-CABG showed a trend towards higher mortality risk compared with those with a decreased age gap, though this did not reach statistical significance (HR 1.51, 95% CI 0.94–2.41; P = 0.09).

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