Description

Slankamenac et al developed 2 models (full and reduced versions) for predicting acute renal failure after liver resection. The authors are from the University of Zurich.


Patient selection: hepatic resection

 

Outcome: acute renal failure (occurred in about 15%)

 

Parameters in full model:

(1) cardiovascular disease

(2) chronic renal failure (CRF)

(3) diabetes

(4) serum ALT in U/L and sex

(5) age in years

(6) serum total bilirubin in µmol/L

(7) sex

 

Parameters in reduced model: (1), (2), (3), (4)

 

Parameter

Finding

Full Model

Reduced Model

cardiovascular disease

no

0

0

 

yes

5

2

CRF

no

0

0

 

yes

4

2

diabetes

no

0

0

 

yes

3

1

serum ALT

<= 35, female

0

0

 

> 35, female

5

2

 

<= 50, male

0

0

 

> 50, male

5

2

age in years

< 60 years

0

0

 

60 to 69 years

1

0

 

>= 70 years

2

0

total bilirubin

< 17 µµmol/L

0

0

 

>= 17 µmol/L

1

0

sex

male

0

0

 

female

1

0

 

total score for full model =

= SUM(points for all 7 parameters)

 

total score for reduced model =

= SUM(points for all 4 parameters)

 

Interpretation:

• minimum full or reduced score: 0

• maximum for full model: 22

• maximum for reduced model: 7

• The mortality rate for a patient with acute renal failuare was 22% vs about 1% without.

 

Score

ARF Full Model

ARF Reduced Model

0

4%

6%

1

5%

10%

2

6%

17%

3

8%

27%

4

10%

41%

5

12%

55%

6

15%

69%

7

18%

81%

8

21%

 

9

26%

 

10

30%

 

11

35%

 

12

41%

 

13

46%

 

14

52%

 

15

58%

 

16

63%

 

17

69%

 

18

73%

 

19

78%

 

20

81%

 

21

85%

 

22

87%

 

 

Performance:

• The area under the ROC curve was 0.80 for the full model and 0.77 for the reduced.


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