Description

Johnson et al developed a model that can help to identify a patient with chronic kidney disease who may experience disease progression within the next 5 years. This can help to identify a patient who may benefit from more aggressive management. The authors are from Kaiser Permanente Northwest and McGill University.


Patient selection: chronic kidney disease, estimated creatinine clearance < 60 mL per minute per 1.73 square meters, age 30 to 89 years

 

Outcome: need for renal replacement therapy (dialysis or transplant) within the next 5 years

 

Parameters:

(1) age in years

(2) estimated GFR in mL per minute per 1.73 square meters

(3) gender

(4) diabetes

(5) hypertension

(6) anemia

 

Parameter

Finding

Points

age in years

30 to 34 years

64

 

35 to 39

62

 

40 to 44

60

 

45 to 49

58

 

50 to 54

56

 

55 to 59

54

 

60 to 64

51

 

65 to 69

46

 

70 to 74

41

 

75 to 79

34

 

80 to 84

19

 

85 to 89

0

eGFR

55 to 59 mL per min per 1.73 square meters

0

 

50 to 54

15

 

45 to 49

17

 

40 to 44

22

 

35 to 39

32

 

30 to 34

44

 

25 to 29

58

 

20 to 24

72

 

15 to 19

86

gender

female

0

 

male

16

diabetes

absent

0

 

present

17

hypertension

absent

0

 

present

42

anemia

absent

0

 

present

11

 

total score -

= SUM(points for all 6 parameters)

 

Interpretation:

minimum score: 0

maximum score: 236

The higher the score the greater the risk of progression.

 

Total Score

5-Year Risk

98

>= 1%

131

>= 5%

146

>= 10%

159

>= 15%

165

>= 20%

 

Performance:

The area under the ROC curve was 0.89.


To read more or access our algorithms and calculators, please log in or register.