Description

Rana et al developed a preallocation score for Predicting Survival Outcomes Following Liver Transplantation (P-SOFT). This can help to determine which patients are likely to survive following surgery. The authors are from Columbia University College of Physicians and Surgeons in New York City.


 

Patient selection: candidate for liver transplant

 

Outcome: post-transplant survival

 

Parameters:

(1) age in years

(2) body mass index (BMI)

(3) number of previous liver transplants

(4) history of abdominal surgery

(5) serum albumin in g/dL

(6) dialysis prior to transplantation

(7) pretransplant status

(8) MELD score

(9) life support pretransplant

(10) encephalopathy

(11) portal vein thrombosis

(12) ascites pretransplantation

Parameter

Finding

Points

age in years

<= 60 years of age

0

 

> 60 years of age

4

body mass index

<= 35 kg per sq m

0

 

> 35 kg per sq m

2

number of previous transplants

none

0

 

1

9

 

2 or more

14

history of abdominal surgery

no

0

 

yes

2

serum albumin

>= 2.0 g/dL

0

 

< 2.0 g/dL

2

dialysis prior to transplant

no

0

 

yes

3

pretransplant status

elective

0

 

admitted to hospital

3

 

in ICU

6

MELD score

<= 30

0

 

> 30

4

life support pretransplant

no

0

 

yes

9

encephalopathy

no

0

 

yes

2

portal vein thrombosis

no

0

 

yes

5

ascites pretransplant

no

0

 

yes

3

 

total score =

= SUM(points for all 12 parameters)

 

Interpretation:

• minimum score: 0

• maximum score: 56

• The higher the score the greater the risk.

 

Total Score

Risk Group

Survival at 3 Months

0 to 5

low

97%

6 to 15

low to moderate

94%

16 to 35

moderate to high

82%

36 to 40

high

53%

>= 41

futile

41%

 


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