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Mean and variability of annual haemoglobin A1c are associated with high-risk peripheral artery disease
I-Te Lee1,2,3,4
1Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung City.
Insights
High glucose variability, measured by haemoglobin A1c fluctuations, increases peripheral artery disease risk in type 2 diabetes patients. This finding highlights the importance of stable blood sugar control for cardiovascular health.
Area of Science:
- Endocrinology and Metabolism
- Cardiovascular Research
- Diabetes Management
Background:
- Glucose variability is a known predictor of cardiovascular events and mortality.
- The link between peripheral artery disease (PAD) and glucose variability requires further investigation.
Purpose of the Study:
- To assess the association between the standard deviation of annual haemoglobin A1c and the risk of peripheral artery disease in type 2 diabetes patients.
Main Methods:
- Retrospective analysis of 4144 type 2 diabetes patients.
- Evaluation of ankle-brachial index (ABI) and percentage of mean arterial pressure at the ankle.
- Calculation of the standard deviation of annual haemoglobin A1c levels.
Main Results:
- Higher standard deviation of annual haemoglobin A1c was observed in patients with ABI ≤0.90 and those with percentage of mean arterial pressure ≥45%.
- Elevated haemoglobin A1c variability is significantly associated with high-risk peripheral artery disease (OR=1.306, p=0.014).
Conclusions:
- Fluctuations in haemoglobin A1c levels indicate an increased risk of peripheral artery disease in type 2 diabetes.
- Maintaining stable glucose control is crucial for reducing PAD risk in diabetic patients.
Background:
Glucose variability is predictive of cardiovascular events and all-cause mortality. However, the association between peripheral artery disease and glucose variability has not been thoroughly investigated. Therefore, the standard deviation of annual haemoglobin A1c was assessed in patients with type 2 diabetes for evaluating the different risks of peripheral artery disease.
Methods:
A total of 4144 patients underwent an evaluation for the ankle-brachial index and the percentage of mean arterial pressure at the ankle. The first haemoglobin A1c record was retrospectively collected from each year until the ankle-brachial index measurement.
Results:
The standard deviation of annual haemoglobin A1c was higher in patients with ankle-brachial index ⩽0.90 than in those with ankle-brachial index >0.90 (1.1 ± 0.9% vs 1.0 ± 0.8%, p = 0.009) and was higher in patients with percentage of mean arterial pressure ⩾45% than in those with percentage of mean arterial pressure <45% (1.1 ± 0.8% vs 1.0 ± 0.8%, p = 0.007). A high standard deviation and mean of annual haemoglobin A1c are associated with high-risk peripheral artery disease, which is defined as a combination of ankle-brachial index ⩽0.90, percentage of mean arterial pressure ⩾45% or both (odds ratio = 1.306; 95% confidence interval = 1.057-1.615; p = 0.014).
Conclusion:
Fluctuation in the haemoglobin A1c value indicates higher risk for peripheral artery disease in patients with type 2 diabetes and poor glucose control.
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