Model of Grimm et al for Risk of Acute Renal Failure Following Lung Transplantation

Description

Grimm et al developed a model and score for predicting the risk of acute renal failure following lung transplantation. This can help to identify a patient who may benefit from more aggressive management. The authors are from the Johns Hopkins Hospital in Baltimore.

Patient selection: lung transplantation

Outcome: new-onset renal failure

Parameters:

(1) race

(2) pulmonary diagnosis

(3) diabetes

(4) body mass index in kilograms per square meter

(5) baseline eGFR in mL per min per 1.73 square meter

(6) Karnofsky Performance Status (KPS) from 10 to 100

(7) ICU stay before transplant

(8) ECMO therapy before transplant

(9) days on waiting list

(10) number of lung transplanted

Parameter	Finding	Points
race	African American	5
	White or Hispanic	0
	other	6
diagnosis	sarcoidosis	5
	interstitial pulmonary fibrosis, cystic fibrosis, COPD, alpha-1 antitrypsin	0
	other	5
diabetes	no	0
	yes	4
body mass index	< 30 kg per square meter	0
	>= 30 kg per square meter	7
baseline eGFR	> 45 mL/min/1.73 sq m	0
	<= 45	7
KPS	80 to 100	0
	50 to 70	5
	< 50	7
ICU stay before transplant	no	0
	yes	7
ECMO before transplant	no	0
	yes	6
days on waiting list	<= 60 days	0
	> 60 days	4
number of lungs	single	0
	double	4

total score =

= SUM(points for all 10 parameters)

Interpretation:

• minimum score: 0

• maximum score: 57

• The higher the score the greater the risk for acute renal failure.

Score	Risk Group	Predicted Rate ARF
0 to 15	low	< 5%
16 to 24	moderate	5 to 13%
25 to 57	high	> 13%

To read more or access our algorithms and calculators, please log in or register.

Model of Grimm et al for Risk of Acute Renal Failure Following Lung Transplantation

Description

Specialty