Description

Brown et al developed a model for predicting acute renal insufficiency after cardiac surgery. This can help to identify a patient who may benefit from more aggressive management. The authors are from the Northern New England Cardiovascular Disease Study Group (NNESDSG).


 

Patient selection: patient undergoing cardiac surgery with eGFR > 60 mL per minute per 1.73 square meter by the MDRD score

 

Outcome: renal insufficiency (eGFR < 30 mL per minute per 1.73 square meter)

 

Parameters:

(1) age of the patient in years

(2) gender

(3) diabetes mellitus

(4) WBC count per µL prior to surgery

(5) history of prior CABG

(6) congestive heart failure (CHF)

(7) peripheral vascular disease (PVD)

(8) hypertension

(9) preoperative intra-aortic balloon pump (IABP)

Parameter

Finding

Points

age in years

< 70 years

0

 

70 to 74 years

1.5

 

75 to 79 years

2.0

 

>= 80 years

2.5

gender

male

0

 

female

1.5

diabetes mellitus

no

0

 

yes

1.5

WBC count

<= 12,000 per µL

0

 

> 12,000 per µL

1.5

history of previous CABG

no

0

 

yes

2

congestive heart failure

no

0

 

yes

2.5

peripheral vascular diease

no

0

 

yes

1.5

hypertension

no

0

 

yes

1.5

preoperative use of IABP

no

0

 

yes

3.0

 

total score =

= SUM(points for all 9 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 17.5

• The higher the score the greater the risk of severe renal insufficiency.

 

Score

Percent Severe Renal Insufficiency

0 to 5

(0.4943 * (score)) + 0.01429

5 to 10

(0.4429 * ((score)^2)) – (4.506 * (score)) + 14.68

>10

> 15%

 

Performance:

• The area under the ROC curve was 0.72.

 


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