DOES TIME IN RANGE PREDICT HBA1C?
- Raquel N. Faradji, Mexico
- Raquel N. Faradji, Mexico
- Neftali E. Antonio-villa, Mexico
- Aili L. Garcia-tuomola, Mexico
- Carmen Castillo-galindo, Mexico
- Juan R. Madrigal-sanroman, Mexico
- Carmenmari Zaballa-lasso, Mexico
- Alicia E. Yepez-rodriguez, Mexico
- Paloma Almeda-valdes, Mexico
Abstract
Background and Aims
HbA1c is a parameter of glycemic control and predictor of long-term diabetic complications and plays a fundamental role in type 1 diabetes (T1D) management, nevertheless it has limitations. Continuous glucose monitoring (CGM) is a novel strategy that evaluates glycemic daily profiles and glycemic variability using the time-in-range (%TIR), glucose between 70-180 mg/d, as a new parameter. The aim of this study was to evaluate the association of %TIR with HbA1c in subjects with T1D.
Methods
Subjects of the Type 1 Diabetes National Registry in Mexico (RENACED DT1) using CGM and with complete %TIR values in the previous 2 weeks were included. The variability of HbA1c explained by the %TIR was assessed with linear regression analysis (R2). Polynomial regression was used to fit %TIR values to HbA1c.
Results
We included 49 subjects, 32 (65.3%) female with median HbA1c 7.5% (6.8-8.1). Characteristics of the population are presented in table 1. We found a negative correlation between %TIR and HbA1c (r=-0.522, 95% CI: -0.701, -0.283; p<0.001), that increased after logarithmized HbA1c (r=-0.591, 95% CI: -0.748, -0.371; p<0.001). In linear regression analysis, %TIR explained 33.35% of the variability of HbA1c and 36.13% using a non-linear fit. There was a negative association between %TIR (B=-6.509) and HbA1c that persisted with logarithmized HbA1c (B=-0.007, p<0.001) (Figure 1).
Conclusions
We found a strong correlation between %TIR and HbA1c and a non-linear relation between both parameters. These findings suggest that %TIR is a good parameter for assessing glycemic control.