Prognostic Value of Artificial Intelligence-Enabled Electrocardiography-Derived Diastolic Dysfunction Grading and Trajectory in Patients Undergoing Transcatheter Aortic Valve Replacement.

In multivariable Cox regression analysis adjusting for age, sex, CCI, LVEF, and AVA (Table 3 ), grade 3 AI‐enabled electrocardiography DD was independently associated with increased mortality risk (HR, 1.80 [95% CI, 1.47–2.20]; P <0.001), whereas moderate DD (grade 2) showed a trend toward higher risk (HR, 1.19 [95% CI, 0.99–1.43]; P =0.072).

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Patients with higher AI‐enabled electrocardiography grades were older, had a greater comorbid burden, and exhibited a higher prevalence of heart failure, AF, hypertension, and chronic kidney disease, along with an increasing trend in pacemaker implantation.

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