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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