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Artificial intelligence-enhanced electrocardiogram diastolic function grade predicts post-septal myectomy mortality
Julia G Debertin1, Hartzell V Schaff1, Tedy Sawma1
1Department of Cardiovascular Surgery, Mayo Clinic, Rochester, Minn.
Backgrounds:
Diastolic dysfunction is an important pathophysiologic feature of hypertrophic cardiomyopathy that is often challenging to determine noninvasively. This study investigated whether a novel artificial intelligence-enabled electrocardiography (AI-ECG)-determined diastolic function grade is associated with early postoperative outcomes and long-term mortality in patients with obstructive hypertrophic cardiomyopathy (oHCM) following septal myectomy.
Methods:
We analyzed 1953 patients undergoing transaortic septal myectomy and stratified their outcomes by grade of diastolic function as determined by a validated deep-learning AI algorithm applied on each patient's preoperative 12-lead electrocardiogram. Outcomes of interest included early postoperative morbidity, hospital length of stay, and all-cause mortality.
Results:
Patients with AI-ECG diastolic function grade 3 had a higher prevalence of comorbidities, including dyslipidemia, hypertension, congestive heart failure, and atrial fibrillation/flutter (AF). AI-ECG diastolic function grade significantly correlated with echocardiographic measures, including septal and posterior wall thickness, left atrial volume index, left ventricular mass index, maximum left ventricular outflow tract gradient, medial E/e', medial e', mitral and tricuspid regurgitation. Patients with AI-ECG diastolic (dys)function grades 2 and 3 had an increased risk of late mortality (hazard ratio [HR], 1.73; 95% confidence interval [CI], 1.05-2.87 and HR, 2.45; 95% CI, 1.29-4.67, respectively). Patients with diastolic function grade 3 were more likely to have postoperative AF (odds ratio, 1.63; 95% CI, 1.04-2.56) and had longer hospital length of stay (+0.87 days; P < .01).
Conclusions:
Higher AI-ECG diastolic grade is associated with an increased risk of postoperative AF, longer hospital length of stay, and worse long-term survival. AI-ECG diastolic grade may be a useful tool for risk stratification of patients with oHCM undergoing septal myectomy.
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