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. 2017 Oct 10;14(10):e1002400. doi: 10.1371/journal.pmed.1002400

Table 6. Risk prediction models for CKD progression in 999 participants and all-cause mortality in 1,732 participants using different estimating equations for eGFR.

Risk prediction Estimating equation Odds ratio or hazard ratio (95% CI) P value AUROC
Models for KDIGO CKD progression eGFRcreat 0.984 (0.971–0.998) 0.023 0.722
eGFRcys 0.982 (0.971–0.993) 0.001 0.726
eGFRcreat-cys 0.978 (0.965–0.991) 0.001 0.726
Models for all-cause mortality eGFRcreat 0.973 (0.960–0.986) <0.001
eGFRcys 0.975 (0.963–0.987) <0.001
eGFRcreat-cys 0.967 (0.954–0.981) <0.001

All progression models are adjusted for age, sex, urine albumin-to-creatinine ratio, haemoglobin, bicarbonate, and diabetes. All odds ratios given per ml/min/1.73 m2. All survival models are adjusted for age, sex, urine albumin-to-creatinine ratio, haemoglobin, albumin, bicarbonate, diabetes, and previous cardiovascular disease. All hazard ratios are given per ml/min/1.73 m2.

AUROC, area under the receiver operating characteristic curve; CKD, chronic kidney disease; creat, creatinine; cys, cystatin C; creat-cys, creatinine and cystatin C; eGFR, estimated glomerular filtration rate; KDIGO, Kidney Disease Improving Global Outcomes.