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Table 2 Example Bang et al. and Kshirsagar et al. Risk Scores for Persons with Different Characteristics

From: The cost-effectiveness of using chronic kidney disease risk scores to screen for early-stage chronic kidney disease

Risk Score

No Risk Factors

Diabetes

Diabetes and Hypertension

Diabetes, Hypertension, and Anemia

Cardiovascular Disease

Bang et al.

 Female: Age < 50

0.01

0.01

0.01

0.04

0.06

 Female: Age 50 to 59

0.03

0.04

0.06

0.15

0.24

 Female: Age 60 to 69

0.06

0.09

0.13

0.27

0.40

 Female: Age ≥ 70

0.13

0.19

0.27

0.49

0.63

 Male: Age < 50

0.00

0.01

0.01

0.03

0.05

 Male: Age 50 to 59

0.02

0.03

0.05

0.12

0.19

 Male: Age 60 to 69

0.04

0.07

0.10

0.22

0.34

 Male: Age ≥ 70

0.10

0.15

0.22

0.41

0.56

Kshirsagar et al.

 Female: Age < 50

0.04

0.06

0.09

0.14

0.18

 Female: Age 50 to 59

0.07

0.10

0.16

0.24

0.28

 Female: Age 60 to 69

0.14

0.18

0.28

0.38

0.45

 Female: Age ≥ 70

0.15

0.20

0.30

0.41

0.48

 Male: Age < 50

0.04

0.05

0.08

0.13

0.16

 Male: Age 50 to 59

0.06

0.09

0.14

0.21

0.26

 Male: Age 60 to 69

0.12

0.16

0.25

0.35

0.41

 Male: Age ≥ 70

0.14

0.18

0.28

0.38

0.45

  1. The Bang et al. risk score is derived from a logistic regression to predict current CKD (stage 3+) in the NHANES population. The Kshirsagar et al. risk score is derived from a logistic regression to predict onset of CKD (stage 3+) over the 9-year study period in subsamples of ARIC and the Cardiovascular Health Study (CHS). Coefficients used to generate the risk scores are given in Table 3