Liver Transplant Survival Rate | Medical Algorithm

Description

Ioannou developed a model for predicting graft survival after liver transplantation in patients with end-stage liver disease secondary to HCV. The author is from the University of Washington in Seattle and the Veterans Affairs Puget Sound Health Care System

Parameters – Donor Characteristics:

(1) age of the donor in years

(2) ethnicity of the donor

(3) gender of the donor

(4) cold ischemia time in hours

Parameters – Recipient Characteristics:

(5) body mass index (BMI)

(6) age

(7) UNOS urgency category

(8) gender

(9) race and ethnicity

(10) diabetes

(11) MELD score

Donor Parameter	Finding	Points
ethnicity	white	0
	black	0.02
	Hispanic	0.05
	other	0.11
gender	male	0
	female	0.08
cold ischemia time	< 6.4 hours	0
	6.4 to 8.79 hours	0.01
	8.8 to 11.29 hours	0.16
	11.3 to 14.29 hours	0.23
	14.3 to 59.99 hours	0.17

Recipient Parameter	Finding	Points
body mass index	15 to 24.99	0
	25 to 29.99	-0.15
	30 to 34.99	-0.20
	35 to 39.99	-0.20
	40 to 54.99	-0.11
age	18 to 42.99	0
	43 to 49.99	-0.06
	50 to 56.99	-0.13
	57 to 62.99	0.11
	>= 63	0.20
UNOS urgency	UNOS 1	0.23
	other	0
gender	male	0
	female	0.06
ethnicity	white	0
	black	0.25
	Hispanic	0
	other	-0.24
diabetes	absent	0
	present	0.18
MELD score	6 to 10.7	0
	10.8 to 14.2	0
	14.3 to 19.3	0.08
	19.4 to 26.9	0.20
	>= 27	0.50

X =

= (0.000175 * (((age in years)^2) – 1444)) + SUM(points for the other parameters)

hazard ratio =

= EXP(X)

survival for the graft at time t) =

= (baseline survival at time t) ^ (hazard ratio)

Time Period	Baseline Survival
1 year	0.86
2 years	0.81
5 years	0.69

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Description

Specialty

Objective

ICD-10

Liver Transplant Recipient with HCV | Model for Predicting Graft Survival

Purpose: To evaluate a liver transplant recipient with HCV using the model of Ioannou.

Description

Specialty

Objective

ICD-10