Inadequate Preventive Dental Care Is Associated With Higher Cardiovascular Risk Identified by ECG‐Based Artificial Intelligence Algorithms

Abstract

BACKGROUND: Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence-enabled electrocardiography (AI-ECG) algorithms accurately estimate cardiovascular disease risk. We investigated the association between inadequate preventive dental care and the AI-ECG-estimated risk of atrial fibrillation, aortic stenosis, low ejection fraction, cardiac amyloid, cardiovascular aging, and all-cause mortality. METHODS: We retrospectively analyzed 266 637 Mayo Clinic patients (2018-2024) who completed a Social Determinants of Health Survey and had an ECG performed within 1 year of survey completion. AI-ECG algorithms generated continuous risk scores (0 or 1) for atrial fibrillation, aortic stenosis, low ejection fraction, and amyloid. Cardiac aging was assessed by delta age, calculated as AI-ECG-estimated physiological age minus the chronological age. Associations with preventive dental care were analyzed using logistic regression. Cox regression evaluated dental care predictiveness on all-cause mortality. RESULTS: <0.001). CONCLUSIONS: Inadequate preventive dental care is associated with subclinical cardiovascular disease. AI-ECG algorithms may facilitate cardiovascular risk stratification among individuals with limited preventive dental care access.

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