Abstract
Background: Metabolic syndrome (MetS) significantly contributes to the burden of cardiovascular events (CVEs) and mortality worldwide. Non-invasive measures of cardiac autonomic function (CAF) in the form of heart rate variability (HRV) may be a promising tool to monitor disease progression and forecast future CVEs in people with MetS. The HRV triangular index (HRVI) offers superior predictive power of cardiovascular mortality risk in populations with existing cardiovascular complications compared to traditional HRV measures.
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