Methods for Diagnosing and/or Predicting the Risk of Having an Acute Rejection (AR) in a Kidney Transplant Recipient
摘要:
By using a fully phenotyped cohort of kidney transplant recipients (KTRs), inventors have clearly established the clinical conditions that should be considered when using urinary chemokine levels to noninvasively identify patients at risk of acute rejection (AR). They have developed and validated (in two external validation cohorts) a multiparametric model that predicts individual risk of AR with high accuracy. Accordingly, the invention relates to a method for calculating a probability (p) to have a risk of an acute rejection (AR) in a kidney transplant recipient by using the following equation: (I)







p
=


1




1
+

exp
(

-

(

β0
+

β1

x

1

+

β2

x

2

+

β3

x

3

+

β4

x

4

+













β5

x

5

+

β6

x

6

+

β7

x

7

+

β8

x

8


)

)





.





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