Table 4.

Copeptin in relation to yearly change in eGFR and UACR

Yearly change in eGFR (n = 509)Yearly change in UACR (n = 507)
β (SE)P-valueβ (SE)P-value
Model 1 (unadjusted)−0.31 (0.11)0.0070.012 (0.009)0.31
Model 2−0.53 (0.13)<0.001−0.026 (0.010)0.050
Model 3−0.26 (0.14)0.059−0.004 (0.011)0.68
Yearly change in eGFR (n = 509)Yearly change in UACR (n = 507)
β (SE)P-valueβ (SE)P-value
Model 1 (unadjusted)−0.31 (0.11)0.0070.012 (0.009)0.31
Model 2−0.53 (0.13)<0.001−0.026 (0.010)0.050
Model 3−0.26 (0.14)0.059−0.004 (0.011)0.68

The β estimates represent the effect per SD increase in log2-transformed baseline plasma copeptin. Model 2 was adjusted for baseline eGFR. In Model 3, adjustment included baseline eGFR as well as sex, baseline age, diabetes duration, body mass index, LDL cholesterol, smoking, HbA1c, systolic blood pressure, urinary albumin excretion rate, retinopathy status and history of cardiovascular disease.

Table 4.

Copeptin in relation to yearly change in eGFR and UACR

Yearly change in eGFR (n = 509)Yearly change in UACR (n = 507)
β (SE)P-valueβ (SE)P-value
Model 1 (unadjusted)−0.31 (0.11)0.0070.012 (0.009)0.31
Model 2−0.53 (0.13)<0.001−0.026 (0.010)0.050
Model 3−0.26 (0.14)0.059−0.004 (0.011)0.68
Yearly change in eGFR (n = 509)Yearly change in UACR (n = 507)
β (SE)P-valueβ (SE)P-value
Model 1 (unadjusted)−0.31 (0.11)0.0070.012 (0.009)0.31
Model 2−0.53 (0.13)<0.001−0.026 (0.010)0.050
Model 3−0.26 (0.14)0.059−0.004 (0.011)0.68

The β estimates represent the effect per SD increase in log2-transformed baseline plasma copeptin. Model 2 was adjusted for baseline eGFR. In Model 3, adjustment included baseline eGFR as well as sex, baseline age, diabetes duration, body mass index, LDL cholesterol, smoking, HbA1c, systolic blood pressure, urinary albumin excretion rate, retinopathy status and history of cardiovascular disease.

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