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 Release 22.0, Sept. 2008
 
Chapter : ch5. Transfusion Medicine Section : Estimation of Blood Loss and Prediction of Blood Transfusion Needs
  The Transfusion Risk Understanding Scoring Tool (TRUST) of Alghamdi et al for Predicting Transfusion in a Cardiac Surgery Patient

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Overview :

Alghamdi et al developed the Transfusion Risk Understanding Scoring Tool (TRUST) for identifying cardiac surgery patients who may need blood transfusion. This can help identify patients who may be candidates for preventive measures to reduce the need for transfusion. The authors are from the Univiersity of Toronto.

 

Parameters:

(1) age

(2) gender

(3) preoperative hemoglobin

(4) body weight in kilograms

(5) elective surgery

(6) serum creatinine

(7) history of previous cardiac surgery

(8) surgical task (isolated vs nonisolated)

 

Parameter

Finding

Points

age of the patient in years

<= 65 years

0

 

> 65 years

1

gender

male

0

 

female

1

hemoglobin

>= 13.5 g/dL

0

 

< 13.5 g/dL

1

body weight in kilograms

>=77 kilograms

0

 

< 77 grams

1

elective surgery

yes

0

 

no (nonelective)

1

serum creatinine

<= 1.36 mg/dL (120 µmol/L)

0

 

> 1.36 mg/dL (120 µmol/L)

1

history of prevous cardiac surgery

no

0

 

yes

1

surgical task

isolated

0

 

nonisolated (CABG + valve replacement, etc

1

 

total score =

= SUM(points for all 8 parameters)

 

Interpretation:

• miinimum score: 0

• maximum score: 8

• The higher the score the greater the probability of requiring a blood transfusion.

 

Total Score

Risk Group

Probability of Transfusion

0

baseline risk

< 20%

1

low risk

20 - 39%

2

intermediate risk

40 - 59%

3

high risk

60 - 79%

4 to 8

very high risk

80 - 100%

 

X =

= (0.8377 * (total score)) - 1.9503

 

probability of blood transfusion =

= 1 / (1 + EXP((-1) * X))

 

  References:

Alghamdi AA, Davis A, et al. Development and validation of Transfusion Risk Understanding Scoring Tool (TRUST) to stratify cardiac surgery patients according to their blood transfusion needs. Transfusion. 2006; 46: 1120-1129 (Table 6, page 1125)

 

 

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