Model of Massicotte et al for Predicting Red Blood Cell Transfusion at Liver Transplantation

Description

Massicotte et al developed a model for predicting the need for red blood cell transfusion at the time of liver transplantation. The model can help to identify a high risk patient who may benefit from more aggressive management. The authors are from Central Hospital of the University of Montreal (CHUM) in Canada.

Parameters:

(1) transfusion of plasma (FFP)

(2) performance of therapeutic phlebotomy (which reduces central venous pressure and the need for blood transfusion)

(3) preoperative hemoglobin

Parameter	Finding	Points
plasma transfusion	no	0
	yes	30.5
therapeutic phlebotomy	no	19.6
	yes	0

Hemoglobin	Points
< 40 g/L	100
40 to 190 g/dL	(-0.6667 * (hemoglobin)) + 126.67
> 190	0

total score =

= SUM(points for all 3 parameters)

Interpretation:

• minimum score: 0

• maximum score: 160

• The higher the score the greater the chances of having a red blood cell transfusion

Score	Percent RBC Transfusion
< 34.2	< 1%
34.2 to 77.2	(0.000364 * ((score)^3)) - (0.04102 * ((score)^2)) + (1.684 * (score)) - 23.2
77.2 to 96.6	(2.060 * (score)) - 129.4
96.6 to 131.9	(0.000145 * ((score)^3)) - (0.07241 * ((score)^2)) + (11.61 * (score)) - 506.6
> 131.9	> 98%

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Model of Massicotte et al for Predicting Red Blood Cell Transfusion at Liver Transplantation

Description

Specialty