Table 2.
General linear modelling for sAF predictors in the full cohort and DKD risk in the renal sub-study.
| β | SE | Pvariable | Pmodel r2adj | |
|---|---|---|---|---|
| Dependent: sAF | ||||
| Model 1 | ||||
| Diabetes duration | 0.0250 | 0.0049 | 5.08 × 10–7*** | 1.47 × 10–12 |
| Height | -1.2972 | 0.2682 | 1.93 × 10–6*** | |
| BMI | 0.0200 | 0.0066 | 0.0025** | 0.1356 |
| Model 2 | ||||
| Diabetes duration | 0.0248 | 0.0049 | 6.27 × 10–7*** | 8.77 × 10–12 |
| Height | -1.2367 | 0.3613 | 6.88 × 10–4*** | 0.1372 |
| BMI | 0.0185 | 0.0066 | 0.0053** | |
| Age | 0.0203 | 0.0124 | 0.1022 | |
| Sex | 0.0078 | 0.0695 | 0.9099 | |
| Dependent: DKD Risk | ||||
| Model 1 | ||||
| eGFR | 0.0235 | 0.0038 | 5.53 × 10–9 *** | 2.2 × 10–9 |
| sAF | 0.3259 | 0.1573 | 0.0402* | 0.2446 |
| Model 2 | ||||
| Diabetes duration | 0.1049 | 0.0122 | 2.42 × 10–14*** | < 2.2 × 10–16 |
| eGFR | 0.0130 | 0.0033 | 1.2 × 10–4*** | 0.5077 |
| sAF | 0.0303 | 0.1310 | 0.8928 | |
| Model 3 | ||||
| Diabetes duration | 0.0906 | 0.0124 | 2.42 × 10–11*** | < 2.2 × 10–16 |
| Random BG | 0.0705 | 0.0173 | 7.78 × 10–5*** | 0.5594 |
| eGFR | 0.0097 | 0.0032 | 3.13 × 10–3** | |
| sAF | 0.0161 | 0.1312 | 0.9023 | |
| Model 4 | ||||
| Diabetes duration | 0.0872 | 0.0128 | 3.32 × 10–10*** | < 2.2 × 10–16 |
| Random BG | 0.0699 | 0.0184 | 2.19 × 10–4*** | 0.5549 |
| eGFR | 0.0099 | 0.0033 | 3.12 × 10–3*** | |
| Height | 0.7168 | 1.0625 | 0.5011 | |
| sAF | 0.0088 | 0.1392 | 0.9499 | |
| Sex (M) | -0.1667 | 0.1857 | 0.3711 | |
For full cohort—Control, N = 299; Diabetes, N = 100 individuals. For renal sub-study—Control, N = 49; Diabetes, N = 89 individuals. DKD risk is defined on a scale of 0–3, where 0 = No diabetes; 1 = type 1 diabetes and lowest uACR tertile; 2 = type 1 diabetes and middle uACR tertile and 3 = type 1 diabetes and highest uACR tertile. SE standard error, sAF skin autofluorescence, BG blood glucose, eGFR estimated glomerular filtration rate. *P < 0.05; **P < 0.01; ***P ≤ 0.001.