Levitsky et al reported a model that is predictive of post-transplant renal recovery following liver transplantation. The authors are from Northwestern University in Chicago and Scripps Research Institute in La Jolla.
Patient selection: renal dysfunction associated with decompensated liver failure undergoing liver transplant
Parameters:
(1) age in years
(2) diabetes
(3)pre-transplant serum osteopontin (OPN) in ng/mL
(4) pre-transplant tissue inhibitor of metalloproteinase (TIMP-1) in ng/mL
Parameter
Finding
Points
age
<= 57 years
0
> 57 years
-4.65
diabetes
no
yes
-2.28
OPN
1.17 * LN(OPN)
TIMP-1
3.54 * LN(TIMPI)
value of X =
= SUM(points for all of the parameters) - 22.27
probability of post-liver transplant renal recovery =
= 1 / (1 + EXP((-1) * X))
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Specialty: Nephrology
