Chunyu Zhang , Peng Yu , Ming Liu , Lei Zhang , Xiaomu Li , Hong Jiang
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引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Electrocardiology is devoted exclusively to clinical and experimental studies of the electrical activities of the heart. It seeks to contribute significantly to the accuracy of diagnosis and prognosis and the effective treatment, prevention, or delay of heart disease. Editorial contents include electrocardiography, vectorcardiography, arrhythmias, membrane action potential, cardiac pacing, monitoring defibrillation, instrumentation, drug effects, and computer applications.