Table 4.
Study | Study size, No. | Population + age, y | Diabetes duration, y | Mean HbA1c, % | Duration of CGM trace, d | Findings |
---|---|---|---|---|---|---|
Šoupal et al (2014) (28) cross-sectional | 32 | T1D | 19.5 ± 5.5 | 8.6 ± 0.9 | 12-14 | Microalbuminuria associated with higher |
41.5 ± 11.5 | • SD: 4.3 ± 0.5 vs 3.6 ± 0.8 mmol/L, P = .04a | |||||
• CV: 0.46 ± 0.1 vs 0.39 ± 0.1 mmol/L, P = .02a | ||||||
• MAGE: 7.5 ± 0.9 vs 6.1 ± 1.2 mmol/L, P = .01a | ||||||
Jin et al (2015) (29) cross-sectional | 173 | T2D | 10.9 (6-16) | 8.2 ± 3.7 | 3 | Macroalbuminuria associated with higher |
56.7 ± 8.4 | • SD: OR = 1.04 ± 0.04, P = .03b | |||||
• MAGE: OR = 1.01 ± 0.01, P = .04a | ||||||
Kuroda et al (2020) (30) longitudinal | 281 | T2D | 13 (7-23) | 6.9 (6.5-7.5) | 10 | Albumin-creatinine ratio associated with reduced TIR: β = –0.10, P = .04b |
68 (62-71) | ||||||
Magri et al (2018) (31) cross-sectional | 121 | T2D | 3 (2-5) | 6.8 (6.3-7.6) | 3 | Albuminuria not associated with TBR, TIR, or TAR |
64 (57-68) | ||||||
Yokota et al (2019) (32) cross-sectional | 100 | T2D | 10 (0.1-42) | 8.5 ± 1.9 | 3 | Lower eGFR associated with high (≥ 35.9) SD: 66.2 ± 22.8 vs 78.8 ± 25.9, P = .01a |
60 ± 14 | ||||||
Yoo et al (2020) (33) cross-sectional | 866 | T2D | 13.1 ± 8.6 | 8.2 ± 1.5 | 3 | Albuminuria risk associated with |
58.5 ± 10.3 | • 10% lower TIR: OR = 0.94 (0.88-0.99), P = .04b | |||||
• 10% higher TAR > 180 mg/dL: OR = 1.07 (1.01-1.19), P = .03b | ||||||
• 10% higher TAR > 250 mg/dL: OR = 1.10 (1.01-1.20), P = .03b |
Values expressed as mean ± SD or median (interquartile range).
Abbreviations: CGM, continuous glucose monitoring; CV, coefficient of variation for glucose; eGFR, estimated glomerular filtration rate; HbA1c, glycated hemoglobin A1c; MAGE, mean amplitude of glycemic excursions; SD, SD of blood glucose levels; T1D, type 1 diabetes; T2D, type 2 diabetes; TAR, time above range; TBR, time below range; TIR, time in range.
a Univariable analysis.
b Multivariable analysis.