Description

Blay et al reported a model for predicting the need for platelet transfusion during cancer chemotherapy. The authors are from multiple institutions in France.


Patient selection: after cancer chemotherapy

 

Outcome: platelet transfusion

 

Parameters from a logistic regression model:

(1) platelet count per microliter on day 1 before chemotherapy

(2) absolute lymphocyte count on day 1 before chemotherapy

(3) type of cancer chemotherapy

(4) ECOG performance status

 

High risk chemotherapy regimens - one of the following:

(1) > 90 mg per square meter doxorubicin per course

(2) > 90 mg per square meter epirubicin per course

(3) > 100 mg per square meter cisplatin per course

(4) > 9 g per square meter ifosfamide per course

(5) > 1 g per square meter cyclophosphamide per course

(6) > 500 mg per square meter etoposide per course

(7) > 1 g per square meter cytarabine per course

 

Parameter

Finding

Points

platelet count

>= 150,000 per µL

0

 

< 150,000 per µL

1

absolute lymphocyte count

> 700 per µL

0

 

<= 700 per µL

1

type of chemotherapy

high risk

1

 

not high risk

0

ECOG performance stagus

0 or 1

0

 

2 to 4

1

 

total score =

= SUM(points for all 4 parameters)

 

Interpretation:

minimum score: 0

maximum score: 4

The higher the score the greater the need for platelet transfusion.

 

Total Score

Percent Receiving Platelet Transfusions

0

1.5%

1

7%

2

13%

>= 3

45%

 


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