Table 3 Twenty-four hours glucose dynamics across patient subgroups

From: A large sensor foundation model pretrained on continuous glucose monitor data for diabetes management

Group

Std glucose (mg/dL)

Coefficient of variation

Mean rate of change (mg/dL/5 min)

TIR (70–180 mg/dL) (%)

TAR (>180 mg/dL) (%)

Type 1 diabetes

48.39 (18.89)

0.2986 (0.0931)

3.57 (1.23)

0.6536 (0.2284)

0.3200 (0.2336)

Type 2 diabetes

37.68 (16.59)

0.2309 (0.0812)

3.08 (1.27)

0.6940 (0.2701)

0.2985 (0.2707)

Age 18–39

49.94 (20.39)

0.2934 (0.0954)

3.88 (1.38)

0.6143 (0.2544)

0.3648 (0.2588)

Age 40–64

41.49 (18.44)

0.2567 (0.0969)

3.26 (1.18)

0.6770 (0.2602)

0.3043 (0.2626)

Age 65+

40.59 (15.82)

0.2579 (0.0812)

3.00 (1.21)

0.7143 (0.2194)

0.2748 (0.2208)

Female

45.18 (19.22)

0.2742 (0.0962)

3.57 (1.28)

0.6540 (0.2527)

0.3272 (0.2559)

Male

41.42 (17.88)

0.2578 (0.0911)

3.13 (1.23)

0.6893 (0.2482)

0.2950 (0.2497)

  1. Key CGM-derived statistics stratified by diabetes type, age group, and gender. The CGM sequences analyzed represent the prediction input windows from all test sets. Metrics include glucose variability (standard deviation and coefficient of variation), glycemic dynamics (mean rate of glucose change), and glycemic control indicators: time in range (TIR, 70–180 mg/dL) and time above range (TAR, 180 mg/dL).
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