Prediction Score of Legouis et al for Chronic Kidney Disease After Cardiac Surgery with Cardiopulmonary Bypass

Description

Legouis et al reported a model for predicting the risk of chronic kidney disease (CKD) after cardiac surgery. This can help to identify a patient who may require more aggressive management or who may benefit from an alternative management strategy. The authors are from multiple institutions in France.

Patient: cardiac surgery with cardiopulmonary bypass

Outcome: CKD at 1 year after surgery

Parameters:

(1) preoperative eGFR in mL per min per 1.73 square meters

(2) age in years

(3) type of surgery

(4) aortic clamping time in minutes

(5) postoperative acute kidney injury (AKI)

Parameter	Finding	Points
preoperative eGFR	>= 80	0
	< 80	1
age	<= 65 years	0
	> 65 years	1
type of surgery	transplantation	2
	aortic surgery	2
	other	0
aortic clamping time	<= 50 minutes	0
	> 50 minutes	1
postoperative AKI	none	0
	stage 1	1
	stage 2 or 3	2

total score =

= SUM(points for all of the parameters)

Interpretation:

• minimum score: 0

• maximum score: 7

• The higher the score the greater the risk of developing CKD.

Total Score	Predicted Risk
0	3%
1	7%
2	15%
3	33%
4	55%
5	72%
6	87%
7	97%

Performance:

• The area under the ROC curve was 0.81 in the derivation and 0.79 in the validation cohorts.

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Prediction Score of Legouis et al for Chronic Kidney Disease After Cardiac Surgery with Cardiopulmonary Bypass

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