Description

Dranitsaris et al developed a model for predicting chemotherapy-induced anemia in women with breast cancer. The authors are from Toronto Sunnybrook Regional Cancer Centre, London Regional Cancer Centre and Ortho-Biotech Inc in Ontario, Canada.


Parameters:

(1) hemoglobin before chemotherapy in g/L

(2) number of chemotherapy cycles received

(3) age in years

(4) platelet count

(5) prophylactic antibiotics

(6) adjuvant chemotherapy

 

Parameter

Finding

Points

number of chemotherapy cycles received

none

0

 

>= 1

-1

age in years

< 65

0

 

>= 65

2

platelet count

> 200,000 per µL

0

 

<= 200,000 per µL

1

prophylactic antibiotics

none

0

 

present

-1

adjuvant chemotherapy

CEF or CAF

2

 

FEC, FAC, FEC100, AC-T

1

 

CMF, AC or MF

0

 

where (see second column, page 857):

• CEF = cyclophosphamide, epirubicin, fluorouracil

• CAF = cyclophosphamide, doxorubicin, fluorouracil

• CMF = cyclophosphamide, methotrexate, fluorouracil

• FEC = fluorouracil, epirubicin, cyclophosphamide

• FAC = fluorouracil, doxorubicin, cyclophosphamide

• FEC100 = fluorouracil, epirubicin (at 100 mg per sq m), cyclophosphamide

• AC-T = doxorubicin, cyclophosphamide, paclitaxel

• AC = doxorubicin, cyclophosphamide

• MF = methotrexate, fluorouracil

 

risk score =

= (points for chemotherapy) + (points for age) + (points for platelet count) + (points for prophylactic antibiotics) + (points for adjuvant chemotherapy) - (0.25 * (hemoglobin before chemotherapy)) + 50

 

Interpretation:

• The higher the score the greater the risk of anemia.

• The logistic regression curve in Figure page 861 indicates a probability of 50% with a score of 25.1.

 

Risk Score

Incidence of Anemia

< 21

< 1%

21 to 22.9

3%

23 to 23.9

21%

24 to 24.9

40%

25 to 25.9

63%

26 to 26.9

83%

>= 27

85%

 


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