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Updated: May 29, 2025
Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
Can electrocardiographic repolarization predict diabetes incidence: the Atherosclerosis Risk in Communities Study
Chunyu Zhang1, Peng Yu2, Ming Liu3
1Shanghai Institute of Cardiovascular Diseases, Shanghai Engineering Research Center of AI Technology for Cardiopulmonary Diseases, Zhongshan Hospital, Shanghai Medical College of Fudan University, Shanghai, China.
Background:
Diabetes is marked by metabolic dysregulation and high cardiovascular risk. Preceding diabetes onset, cardiac change markers often appear, yet predicting occurrence of diabetes remains challenging.
Methods:
The study included 11,297 ARIC Study participants aged 45-64 without baseline diabetes or heart disease, with 12‑lead ECGs recorded. Cox regression models were used to analyze repolarization parameters (QTc intervals, J-point level, T-wave amplitude, T-wave to R-wave (T/R) ratio) in relation to diabetes risk. Correlation analyses explored links between ECG findings, metabolic parameters, and myocardial fat content.
Results:
Over 23 years, 3338 participants (29.5 %) developed type 2 diabetes. A reduced T/R ratio showed dose-response relationship with diabetes risk, notably in lead I (HR 1.22, 95 % CI 1.15-1.31) and lead V5 (HR 1.15, 95 % CI 1.07-1.24) per standard deviation (SD) decrease after adjustment for common covariates. J-point level and T-wave amplitude also exhibited associations, though weaker. Negative correlations were found between repolarization markers, including T-wave amplitude, T/R ratio with metabolic parameters.
Conclusions:
ECG parameters, especially T-wave amplitude and T/R ratio, predict incident type 2 diabetes and serve as potential early biomarkers for metabolic-induced cardiac change. These findings underscore their clinical relevance in identifying individuals at risk for diabetes.
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