Description

Quaglietta et al developed a score for predicting whether platelet transfusions will be efficaceous in a hematology-oncology patient. The authors are from Civil Hospital and the Center for Outcomes Research and Clinical Epidemiology in Pescara, Italy.


Patient selection: thrombocytopenic hematology-oncology patient

 

Outcome: absolute increment in platelet count >= 10.5 *10^9/L (10,5000 per µL)

 

Parameters:

(1) diagnosis

(2) gender

(3) number of platelet transfusions

(4) platelet antibodies and crossmatch

(5) ABO compatibility

(6) dose of platelets infused in 10^11/L

(7) days of storage per day (from 0 to 5)

(8) pathogen inactivation

(9) split unit

(10) plasma reduction

 

Parameter

Finding

Points

diagnosis

acute leukemia

0

 

myelodysplasia

-2

 

aplastic anemia

3

 

malignant lymphoma

-1

 

chronic leukemia

-2

 

myeloma

0

 

solid tumors

0

gender

female

0

 

male

-1

number of platelet transfusions

< 25

1

 

>= 25

0

platelet antibodies and crossmatch

antibody testing not performed

0

 

antibody positive, crossmatch positive

-9

 

antibody positive, crossmatch negative

-3

 

antibody positive, crossmatch not performed

-5

 

antibody negative, crossmatch not performed

-2

ABO compatibility

identical

0

 

compatible

0

 

incompatible

-2

dose of platelets

<= 2 * 10^11/L

0

 

2.01 to 3.00 * 10^11/L

1

 

3.01 to 4.00 * 10^11/L

2

 

4.01 to 5.00 * 10^11/L

4

 

> 5 * 10^11/L

5

days of storage

 

(-1) * (days)

pathogen inactivation

no

1

 

yes

0

unit split

no

0

 

yes

-2

plasma reduction

no

1

 

yes

0

 

where:

• The data for number of platelet transfusions did not provide for an "equal to 25".

• Hodgkin's disease not specified in table.

 

score =

= MIN(30,SUM)points for all parameters) + 21)

 

Interpretation:

• minimum score: 0

• maximum score: 30

• The higher the score the greater the chances that the platelet transfusion will be a success.

 

Score

Percent Success

0 or 1

0%

2 to 12

(0.0641 * ((score)^2)) - (0.1483 * (score)) + 0.2564

12 to 26

(0.1292 * ((score)^2)) + (0.2613 * (score)) - 15.02

26 to 30

(-0.3571 * ((score)^2)) + (23.2 * (score)) - 284.6

 


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