Hemoglobin A1c Variability Metrics Predict Coronary Artery Calcium and Cardiovascular Events in Type 1 Diabetes: The CACTI Study
Authors' conclusion
We found that various HbA1c metrics positively correlated with CAC volume and independently predicted incident CVD events in the CACTI T1D cohort. These associations with CVD events persisted for baseline HbA1c, mean HbA1c, and time-varying HbA1c even after adjustment for numerous CVD risk factors.
Study context
- Population
- People with T1D, CACTI Study
- Exposure
- Hemoglobin A1C (HbA1c) metrics (baseline, mean, time-varying, SD) as predictors of CAC, pericardial adipose tissue and incident cardiovascular disease (CVD) events
- Outcome
- Anatomic CVD risk factors and/or incident CVD events
Main finding
As reported in the abstract
- Cox models adjusted for age
- Sex
- T1D duration
Baseline HbA1c, HR
1.471 (1.257-1.721) (95% CI)
Mean HbA1c, HR
1.850 (1.511-2.264) (95% CI)
Time-varying HbA1c, HR
1.500 (1.236-1.821) (95% CI)
HbA1c SD, HR
1.665 (1.022-2.711) (95% CI)
Observational data: associations, not effects.
Further findings
Square root transformed CAC volume (linear regression adjusted for age, sex, T1D duration)
- Baseline HbA1c, b
- 0.3998, P = 0.0236
- Mean HbA1c, b
- 0.5385, P = 0.0109
- HbA1c SD, b
- 1.1521, P = 0.0068
Pericardial adipose tissue volume
- Only mean HbA1c positively associated, b
- 1.659, P = 0.0048
Original publication
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