Heart rate variability indices for predicting cardiorenal outcomes: A lesson from the PERL and ACCORD cohorts

J Diabetes Investig. 2025 Jan;16(1):5-7. doi: 10.1111/jdi.14333. Epub 2024 Oct 18.

Abstract

This commentary highlights the role of heart rate variability (HRV) indices in predicting diabetic kidney disease (DKD) progression, based on findings from the PERL and ACCORD trials. HRV-derived measures from routine ECGs are shown to be strong predictors of rapid kidney function decline in both type 1 and type 2 diabetes, suggesting their potential utility in identifying individuals at high risk for DKD and guiding early preventive interventions.

MeSH terms

  • Cohort Studies
  • Diabetes Mellitus, Type 2 / complications
  • Diabetes Mellitus, Type 2 / physiopathology
  • Diabetic Nephropathies* / diagnosis
  • Diabetic Nephropathies* / physiopathology
  • Disease Progression
  • Electrocardiography
  • Heart Rate* / physiology
  • Humans
  • Prognosis