Lappas et al developed a model for predicting blood transfusion requirements during cardiac bypass surgery. This can help determine the number of units that should be crossmatched prior to the surgery. The authors are from Duke University in Durham, North Carolina.
Parameters:
(1) age
(2) body weight in pounds
(3) serum creatinine
(4) cardiac function
(5) gender
(6) hematocrit
|
Parameters |
Findings |
Points |
|
age |
> 75 years |
1.5 |
|
|
65.1 - 75 years |
1.0 |
|
|
<= 65 years |
0 |
|
body weight |
< 121 pounds |
1.5 |
|
|
121 - 186.9 |
0.5 |
|
|
>= 187 pounds |
0 |
|
serum creatinine |
> 1.4 mg/dL |
1.5 |
|
|
1.21 - 1.4 mg/dL |
0.5 |
|
|
<= 1.2 |
0 |
|
gender |
female |
1.0 |
|
|
male |
0 |
|
hematocrit |
>= 36 percent |
0 |
|
|
< 36 percent |
1.0 |
|
cardiac function |
moderate to marked impairment |
0.5 |
|
|
mild to no impairment |
0 |
total number of units predicted =
= SUM(points for all 6 parameters)
Interpretation:
• minimum number of units predicted: 0
• maximum number of units predicted: 7
Specialty: Clinical Laboratory, Surgery, general, Anesthesiology, Emergency Medicine, Critical Care
ICD-10: ,
