Key result
Heart rate variability (HRV) indices from routine ECGs are strong predictors of rapid kidney function decline in both type 1 and type 2 diabetes.
Why the study?
Do heart rate variability (HRV) indices from routine ECGs predict rapid kidney function decline in individuals with type 1 and type 2 diabetes?
Do heart rate variability (HRV) indices from routine ECGs predict rapid kidney function decline in individuals with type 1 and type 2 diabetes?
Answers are grounded in this paper and cite their sources.
Heart rate variability indices derived from routine ECGs may serve as a valuable, non-invasive tool to identify patients with diabetes at high risk for rapid kidney function decline.
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.
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Kazuhiro Sugimoto (2024) conducted an editorial in Diabetic kidney disease. Heart rate variability (HRV) indices was evaluated on Diabetic kidney disease (DKD) progression. Heart rate variability (HRV) indices from routine ECGs are strong predictors of rapid kidney function decline in both type 1 and type 2 diabetes.
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