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Table 4 C-statistics, integrated discrimination improvement, and net reclassification improvement of restricted cubic spline “renal function” formulas for cardiovascular mortality discrimination and reclassification in the studied cohorts

From: Renal function estimation and Cockcroft–Gault formulas for predicting cardiovascular mortality in population-based, cardiovascular risk, heart failure and post-myocardial infarction cohorts: The Heart ‘OMics’ in AGEing (HOMAGE) and the high-risk myocardial infarction database initiatives

Cohorts Model comparison (A vs. B) C-index A% C-index B% ΔC-index% P value IDI% (95% CI) P value NRI% (95% CI) P value
Population Model vs. MDRD4 72.8 75.7 2.9 (−0.3 to 6.1) 0.072 0.5 (−0.1 to 4.3) 0.16 16.7 (−2.0 to 44.1) 0.072
Model vs. CKD-EPI 72.8 75.2 2.4 (−1.6 to 6.4) 0.23 0.6 (0.1 to 4.8) 0.016 23.4 (−0.9 to 44.4) 0.054
Model vs. CG-BSA 72.8 77.3 4.5 (−0.7 to 9.7) 0.087 1.0 (0.2 to 5.7) 0.020 39.1 (4.6 to 51.2) 0.020
MDRD4 vs. CKD-EPI 75.7 75.2 0.5 (−2.4 to 3.4) 0.74 0.2 (0.0 to 0.8) 0.026 23.2 (−10.7 to 36.8) 0.20
MDRD4 vs. CG-BSA 75.7 77.3 1.6 (−2.8 to 6.1) 0.48 0.5 (0.0 to 2.1) 0.045 27.4 (−6.8 to 47.9) 0.13
CKD-EPI vs. CG-BSA 75.2 77.3 2.1 (−0.1 to 4.4) 0.067 0.4 (−0.2 to 1.6) 0.14 31.3 (−13.9 to 48.1) 0.17
CV risk Model vs. MDRD4 58.9 66.2 7.3 (5.2 to 9.5) <0.001 0.9 (0.6 to 1.6) <0.001 18.5 (13.0 to 24.3) <0.001
Model vs. CKD-EPI 58.9 67.5 8.6 (6.4 to 10.9) <0.001 1.1 (0.7 to 1.7) <0.001 20.3 (15.3 to 25.8) <0.001
Model vs. CG-BSA 58.9 70.2 11.3 (8.9 to 13.7) <0.001 1.5 (1.0 to 2.4) <0.001 27.3 (21.4 to 32.6) <0.001
MDRD4 vs. CKD-EPI 66.2 67.5 1.3 (0.8 to 1.8) <0.001 0.1 (0.1 to 0.2) 0.006 23.0 (16.7 to 29.5) <0.001
MDRD4 vs. CG-BSA 66.2 70.2 4.0 (2.7 to 5.3) <0.001 0.6 (0.3 to 0.9) <0.001 22.8 (16.8 to 29.1) <0.001
CKD-EPI vs. CG-BSA 67.5 70.2 2.7 (1.7 to 3.7) <0.001 0.4 (0.2 to 0.7) <0.001 21.1 (14.6 to 27.6) <0.001
Heart failure Model vs. MDRD4 70.7 75.0 4.2 (1.9 to 6.5) <0.001 2.7 (1.2 to 4.8) <0.001 24.6 (15.9 to 34.1) <0.001
Model vs. CKD-EPI 70.7 75.5 4.7 (2.3 to 7.1) <0.001 3.0 (1.5 to 5.2) <0.001 25.5 (15.5 to 34.1) <0.001
Model vs. CG-BSA 70.7 77.0 6.3 (3.6 to 8.9) <0.001 4.4 (2.6 to 7.2) <0.001 29.6 (20.1 to 39.9) <0.001
MDRD4 vs. CKD-EPI 75.0 75.5 0.5 (0.2 to 0.8) 0.003 0.3 (0.1 to 0.5) 0.006 12.7 (1.6 to 23.8) 0.024
MDRD4 vs. CG-BSA 75.0 77.0 2.1 (1.1 to 3.0) <0.001 1.7 (0.8 to 2.7) <0.001 24.9 (14.7 to 34.7) <0.001
CKD-EPI vs. CG-BSA 75.5 77.0 1.6 (0.8 to 2.4) <0.001 1.4 (0.6 to 2.3) <0.001 26.5 (14.4 to 34.5) <0.001
Post-MI Model vs. MDRD4 61.7 66.5 4.9 (4.2 to 5.6) <0.001 3.4 (2.9 to 3.9) <0.001 21.1 (19.4 to 22.8) <0.001
Model vs. CKD-EPI 61.7 67.3 5.6 (4.9 to 6.4) <0.001 3.8 (3.4 to 4.4) <0.001 22.4 (20.6 to 24.0) <0.001
Model vs. CG-BSA 61.7 68.8 7.1 (6.3 to 7.9) <0.001 4.9 (4.3 to 5.6) <0.001 24.9 (23.0 to 26.5) <0.001
MDRD4 vs. CKD-EPI 66.5 67.3 0.8 (0.6 to 0.9) <0.001 0.5 (0.4 to 0.6) <0.001 16.4 (13.6 to 20.0) <0.001
MDRD4 vs. CG-BSA 66.6 68.8 2.3 (1.9 to 2.6) <0.001 1.6 (1.3 to 1.9) <0.001 20.9 (18.9 to 23.1) <0.001
CKD-EPI vs. CG-BSA 67.3 68.8 1.5 (1.3 to 1.8) <0.001 1.1 (0.9 to 1.4) <0.001 16.6 (13.8 to 20.4) <0.001
  1. CG-BSA Cockcroft-Gault formula adjusted for body surface area, MDRD4 modification of diet in renal disease-4 formula, CKD-EPI Chronic Kidney Disease Epidemiology Collaboration equation, CV cardiovascular, MI myocardial infarction, IDI integrated discrimination improvement, NRI net reclassification improvement, Δ delta (change)
  2. All models adjusted for gender, smoking status, history of hypertension, diagnosis of diabetes, heart rate and systolic blood pressure (not adjusted for hemoglobin or left ventricular ejection fraction due to > 75% of missing values in all datasets)
  3. All “renal function” formulas are analyzed using restricted cubic splines