Description

Tsai et al evaluated patients for acute kidney injury following a percutaneous coronary intervention (PCI). One model predicts acute kidney injury (AKI) while a second predicts AKI requiring dialysis. The authors are from multiple institutions in the United States using the National Cardiovascular Data Registry Cath-PCI Registry.


Patient selection: status post percutaneous coronary intervention (PCI)

 

Outcome: acute kidney injury

 

Parameters:

(1) age in years

(2) heart failure within past 2 weeks

(3) GFR in mL per minute

(4) diabetes

(5) prior heart failure

(6) prior cerebrovascular disease (CVD)

(7) coronary artery disease

(8) prior cardiogenic shock

(9) prior cardiac arrest

(10) anemia

(11) intra-aortic balloon pump (IABP) before the procedure

 

Parameter

Finding

Points

age in years

< 50

0

 

50 to 59

2

 

60 to 69

3

 

70 to 79

6

 

80 to 89

8

 

>= 90

10

heart failure

no

0

 

yes

11

GFR

none (>= 60)

0

 

mild (45 to 59.5)

3

 

moderate (30 to 44.9)

8

 

severe (< 30)

18

diabetes

no

0

 

yes

7

prior heart failure

no

0

 

yes

4

prior CVD

no

0

 

yes

4

coronary artery disease

no

0

 

unstable angina

6

 

NSTEMI

6

 

STEMI

15

prior cardiogenic shock

no

0

 

yes

16

prior cardiac arrest

no

0

 

yes

8

anemia

no

0

 

yes

10

IABP

no

0

 

yes

11

 

total score =

= SUM(points for all 11 parameters)

 

Interpretation:

minimum score: 0

maximum score: 114

The higher the score the greater the risk of acute kidney injury.

 

Score

Risk of AKI

0

1.9%

5

2.6%

10

3.6%

15

4.9%

20

6.7%

25

9.2%

30

12.4%

35

16.5%

40

21.7%

45

27.9%

50

35.1%

55

43%

>= 60

51.4%

 

This is approximated by an equation:

 

risk =

= (0.015928 * ((score)^2)) - (0.15217 * (score)) + 2.8703

 

Performance:

The area under the ROC curve is 0.72.


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