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Description

Callcut et al evaluated predictors of massive transfusion in combat casualties. The different predictors perform differently in the ability to predict massive transfusion. The authors are from Stanford University, University of Cincinnati and US. Air Force Center for Sustainment of Trauma and Readiness Skills.


Massive transfusion was defined as >= 10 units packed RBCs within the first 6 hours.

 

Parameters:

(1) INR

(2) systolic blood pressure in mm Hg

(3) hemoglobin in g/dL

(4) base deficit (negative base excess)

(5) body temperature in °C

 

Parameter

Finding

Points

INR

<= 1.5

0

 

> 1.5

1

systolic blood pressure

>= 90 mm Hg

0

 

< 90 mm Hg

1

hemoglobin

>= 11 g/dL

0

 

< 11 g/dL

1

base deficit

< 6 mmol

0

 

>= 6

1

body temperature

>= 35.5°C

0

 

< 35.5°C

1

 

total number of predictors =

= SUM(points for all 5 parameters)

 

Interpretation:

• minimum number of predictors: 0

• maximum number of predictors: 5

• A positive INR and systolic blood pressure had an odds ratio of 10.4 for any transfusion.

• A positive INR with any other predictor positive had odds ratios from 3.6 to 5.2.

• INR had the highest percent correctly classified (88%).

 

Total Score

Average RBC Units

Percent with >= 10 units

0

0.6

5%

1

4.5

10%

2

1.0

21%

3

14.0

37%

4

8.5

58%

5

9.5

76%

 


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