Prognostic Value of Artificial Intelligence ECG-Derived Diastolic Function in Surgical Aortic Valve Replacement.
Artificial intelligence ECG diastolic Grade 3 linked to higher in-hospital death after aortic valve replacement
Prognostic Value of Artificial Intelligence ECG-Derived Diastolic Function in Surgical Aortic Valve Replacement.
Diastolic dysfunction is common in patients with aortic stenosis and may influence outcomes following surgical aortic valve replacement.
We aimed to examine the association of preoperative artificial intelligence (artificial intelligence)-generated diastolic function grades with early and late outcomes following aortic valve replacement and how postoperative progression influence prognosis.
We identified 5503 patients undergoing aortic valve replacement between 2000 and 2023.
grade 3 diastolic dysfunction more than doubles odds of in-hospital death
Among 5503 patients (mean age 72.4±10.8 years; 39% female), higher artificial intelligence ECG diastolic grades were associated with greater comorbidity burden, including diabetes, renal disease, and heart failure.
At 5-year follow-up, patients with Grade 3 showed the least improvement in diastolic function by both ECG and echocardiography.
Grades 2 and 3 diastolic function at baseline were independently associated with increased late mortality (hazard ratio, 1.3 and 2.45, respectively; both P <0.001).
Additionally, lack of improvement in artificial intelligence ECG diastolic grade by 1 year was also independently associated with late mortality.
Artificial intelligence ECG-derived diastolic function grades strongly correlates with early complications and long-term mortality and diastolic progression after aortic valve replacement.
artificial intelligence ECG provides a powerful, noninvasive tool for risk stratification and longitudinal monitoring of patients with aortic stenosis.