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. 2022 Mar 20;13(5):953–967. doi: 10.1007/s13300-022-01240-0

Table 2.

Linear regression analyses for the association among laboratory HbA1c, POCT- HbA1c, and GMI in isCGM users

Model Parameters R R2 Adj R2 Standardize β B (95% CI) p value
Unadjusted GMI-28 0.82 0.672 0.66 0.82 2.87 (1.45–4.37) < 0.001
GMI-90 0.81 0.656 0.64 0.81 1.05 (0.75–1.35) < 0.001
POCT-HbA1c 0.86 0.740 0.72 0.86 0.94 (0.72–1.16) < 0.001
Adjusted Module 1 GMI-28 0.84 0.706 0.69 0.83 0.70 (0.51–0.88) < 0.001
GMI-90 0.83 0.689 0.66 0.83 1.08 (0.78–1.37) < 0.001
POCT-HbA1c 0.86 0.740 0.71 0.85 0.93 (0.71–1.16) < 0.001
Adjusted Module 2 GMI-28 0.86 0.740 0.69 0.79 0.66 (0.47–0.85) < 0.001
GMI-90 0.84 0.706 0.64 0.84 1.19 (0.76–1.44) < 0.001
POCT-HbA1c 0.86 0.740 0.68 0.84 0.93 (0.67–1.19) < 0.001
Adjusted Module 3 GMI-28 0.87 0.757 0.68 0.74 0.62 (0.41–0.83) < 0.001
GMI-90 0.91 0.828 0.73 0.80 1.1 (0.73–1.39) < 0.001

POCT-1

HbA1c

0.91 0.828 0.73 0.79 0.87 (0.61–1.12)  < 0.001

Dependent variable is laboratory HbA1c, and independent variables are GMI-28, GMI-90, and POCT- HbA1c

Module 1 was adjusted for age and gender. Module 2 was adjusted for all variables in Model 1 plus duration of DM, type of diabetes, and treatment. Module 3 was adjusted for all variables in Model 2 plus glucose variability, percentage of sensor data, and FSL scanning frequency per day