Description

Tangri et al reported a model for predicting if a patient with chronic kidney disease will progress to renal failure within 5 years. The authors are from Tufts Meical Center, University of British Columbia, and University of Toronto.


Patient selection: eGFR < 60 mL per min per 1.73 sq meters

 

Parameters:

(1) eGFR in mL per min per 1.73 sq meters

(2) sex

(3) urine albumin to creatinine ratio (ACR) in mg/g

(4) age in years

(5) serum albumin in g/dL

(6) serum phosphate in mg/dL

(7) serum bicarbonate in mmol/L

(8) serum calcium in mg/dL

 

Parameter

Finding

Points

eGFR

10-14

-35

 

15-19

-30

 

20-24

-25

 

25-29

-20

 

30-34

-15

 

35-39

-10

 

40-44

-5

 

45-49

0

 

50-54

5

 

55-59

10

sex

female

0

 

male

-2

ACR

< 30

0

 

30 to 300

-14

 

> 300

-22

age

< 30

-4

 

30-39

-2

 

40-49

0

 

50-59

3

 

60-69

4

 

70-79

8

 

80-89

8

 

>= 90

10

serum albumin

<= 2.5

-5

 

2.6-3.0

0

 

3.1-3.5

2

 

>=3.6

4

serum phosphorus

< 3.5

3

 

3.5-4.5

0

 

4.6-5.5

-3

 

> 5.5

-5

serum bicarbonate

< 18

-7

 

18-22

-4

 

23-25

-1

 

>25

0

serum calcium

<= 8.5

-3

 

8.6-9.5

0

 

> 9.5

2

 

total score =

= SUM(points for all of the parameters)

 

Interpretation:

• minimum score: -83

• maximum score: 29

• The lower the score the greater the risk of renal failure within 5 years.

 

Total Score

5-Year Risk Renal Failure

< -41

> 90%

-41

89%

-40

86.9%

-39

84.1%

-38

81%

-37

77.8%

-36

74.4%

-35

70.9%

-34

67.3%

-33

63.6%

-32

59.9%

-31

56.3%

-30

52.8%

-29

49.3%

-28

45.9%

-27

42.7%

-26

39.6%

-25

36.6%

-24

33.8%

-23

31.2%

-22

28.7%

-21

26.4%

-20

24.2%

-19

22.2%

-18

20.3%

-17

18.6%

-16

17%

-15

15.5%

-14

14.1%

-13

12.9%

-12

11.7%

-11

10.7%

-10

9.7%

-9

8.8%

-8

8%

-7

7.3%

-6

6.6%

-5

6%

-4

5.5%

>= -3

< 5%

 

value of X =

= (0.001357 * ((score)^2)) - (0.6678 * (score)) - 3.055

 

probability of renal failure =

= 1 / (1 + EXP((-10 * X))


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