Description

James et al reported a model for predicting advanced chronic kidney disease following an episode of acute kidney injury. The authors are from multiple institutions in Canada.


Patient selection: acute kidney injury

 

Parameters:

(1) age in years

(2) sex

(3) baseline serum creatinine in mg/dL

(4) albuminuria

(5) acute kidney injury stage

(6) discharge serum creatinine in mg/dL

 

Parameter

Finding

Points

age in years

< 50

0

 

50 to 59

1

 

60 to 69

2

 

70 to 79

2

 

80 to 89

2

 

>= 90

3

sex

male

0

 

female

3

baseline creatinine

< 0.6

0

 

0.6 to 0.69

1

 

0.7 to 0.79

1

 

0.8 to 0.89

2

 

0.9 to 0.99

2

 

1.0 to 1.09

3

 

1.1 to 1.19

3

 

1.2 to 1.29

4

 

>= 1.3

5

albuminuria

normal

0

 

mild

1

 

heavy

3

 

not measured

1

AKI stage

1

0

 

2

1

 

3

3

discharge creatinine

< 1.0

0

 

1.0 to 1.29

3

 

1.3 to 1.59

6

 

1.6 to 1.89

7

 

>= 1.9

11

 

where:

• Normal albuminuria: albumin to creatinine ratio < 30 mg/g or negative dipstick.

• Mild albuminuria: albumin to creatinine ratio 30 to 300 mg/g; dispstick trace or 1+

• Severe albuminuria: albumin to creatinine ratio > 300 mg/g or dipstiack >= 2+

 

total score =

= SUM(points for all 6 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 28

 

Total Score

Risk Advanced CKD

<= 8

< 1%

9 to 14

1 to 4.9%

15 to 17

5 to 9.9%

18 or 19

10 to 19.9%

>= 20

>= 20%

 


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