Glycemic Variability and Coronary Artery Disease in Type 2 Diabetes
Author Information
Author(s): Su Gong, Mi Shuhua, Tao Hong, Li Zhao, Yang Hongxia, Zheng Hong, Zhou Yun, Ma Changsheng
Primary Institution: Beijing Anzhen Hospital of Capital Medical University
Hypothesis
The study aims to assess the relationship between glycemic variability and the presence and severity of coronary artery disease in patients with type 2 diabetes.
Conclusion
Intraday glycemic variability is associated with the presence and severity of coronary artery disease in patients with type 2 diabetes.
Supporting Evidence
- Patients with CAD had significantly higher levels of glycemic variability compared to those without CAD.
- MAGE ≥ 3.4 mmol/L was identified as an independent predictor for CAD.
- The area under the ROC curve for MAGE was superior to that for HbA1c in predicting CAD.
Takeaway
This study found that how much blood sugar levels fluctuate can affect heart disease in people with diabetes, not just the average blood sugar levels.
Methodology
The study involved 344 patients with type 2 diabetes who underwent coronary angiography, measuring glycemic variability using a continuous glucose monitoring system.
Potential Biases
The study was cross-sectional, limiting the ability to infer causation.
Limitations
The sample size was relatively small, and factors like diet and stress that could affect glucose levels were not controlled.
Participant Demographics
Patients were adults with type 2 diabetes, with a higher proportion of males and older age in the CAD group.
Statistical Information
P-Value
p < 0.001
Confidence Interval
95% CI 0.555 to 0.680
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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