Table 2 Implications of the DKD risk algorithm across baseline tertiles of UACR. The HR for the primary composite endpoint is expressed as a function of low or high DKD risk within tertiles of UACR. In the setting of a low-risk DKD algorithm result, the HR for the primary composite endpoint was low and without difference across UACR tertiles. Conversely, in the setting of high risk DKD algorithm result, risk for the primary composite endpoint was present even in lower UACR tertiles
CREDENCE derivation | CREDENCE validation | CANVAS validation | |||||||
|---|---|---|---|---|---|---|---|---|---|
Category | HR | 95% CI | P value | HR | 95% CI | P value | HR | 95% CI | P value |
Low DKD risk result/UACR Tertile 1 | 0.38 | 0.15–0.95 | 0.04 | 0.16 | 0.05–0.55 | 0.004 | 0.33 | 0.21–0.52 | < 0.001 |
Low DKD risk result/UACR Tertile 2 | 0.12 | 0.03–0.50 | 0.004 | 0.16 | 0.04–0.69 | 0.01 | 0.35 | 0.09–1.37 | 0.13 |
Low DKD risk result/UACR Tertile 3 | 0.16 | 0.05–0.49 | 0.002 | 0.08 | 0.01–0.58 | 0.01 | 0.10 | 0.02–0.43 | 0.002 |
High DKD risk result/UACR Tertile 1 | 2.37 | 0.90–6.26 | 0.08 | 4.98 | 1.81–13.73 | 0.002 | 2.17 | 1.87–2.51 | < 0.001 |
High DKD risk result/UACR Tertile 2 | 4.30 | 2.26–8.21 | < 0.001 | 5.78 | 2.78–12.02 | < 0.001 | 3.10 | 0.66–14.58 | 0.15 |
High DKD risk result/UACR Tertile 3 | 3.18 | 2.20–4.59 | < 0.001 | 2.62 | 1.64–4.20 | < 0.001 | 4.40 | 2.17–8.91 | < 0.001 |