Work

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

Year: 2024

Type: article

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.

Source: Journal of Diabetes Investigation

DOI: 10.1111/jdi.14333

Author: Kazuhiro Sugimoto

Institution: Ohta Nishinouchi Hospital

Language: English

Topic: Chronic Kidney Disease and Diabetes

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,850