Elevated Heart Delta Age (HDA) was significantly associated with an increased risk of all-cause mortality (HR 1.62) and cardiovascular mortality (HR 2.12).
Meta-Analysis
Does elevated AI-ECG-derived Heart Delta Age (HDA) predict increased risk of all-cause and cardiovascular mortality?
AI-ECG-derived Heart Delta Age is a significant predictor of all-cause and cardiovascular mortality, highlighting its potential utility as a novel biomarker for cardiovascular risk stratification.
Effect estimate: HR 1.62 (95% CI 1.49-1.77)
Artificial intelligence (AI)-ECG-derived age (AI-ECG age) and Heart Delta Age (HDA)-the difference between AI-ECG and chronological age-are emerging tools for assessing cardiovascular health. We systematically searched PubMed, Embase, Web of Science, and Scopus from inception through September 2024. Seventeen original studies utilizing AI algorithms to measure HDA and cardiovascular risk factors, outcomes, or mortality were included. Data were pooled using random- and fixed-effects models for meta-analysis. Hypertension and diabetes mellitus emerged as the most prevalent factors contributing to higher HDA, while cardiac diseases including myocardial infarction and heart failure demonstrated the most significant impact. Pooled analysis revealed a significant association between elevated HDA and increased risks of all-cause mortality (hazard ratio HR 1.62, 95% confidence interval CI 1.49-1.77) and cardiovascular mortality (HR 2.12, 95% CI 1.71-2.63). HDA could enhance existing risk models and play a critical role in primary healthcare prevention.
Mossavarali et al. (Thu,) conducted a meta-analysis in Cardiovascular risk. Elevated Heart Delta Age (HDA) vs. Lower or normal Heart Delta Age was evaluated on All-cause mortality (HR 1.62, 95% CI 1.49-1.77). Elevated Heart Delta Age (HDA) was significantly associated with an increased risk of all-cause mortality (HR 1.62) and cardiovascular mortality (HR 2.12).