Marec-Berard et al developed a model that can predict if a pediatric patient with a solid tumor will develop severe anemia during the month after starting chemotherapy and require red blood cell transfusion. The model based on one developed previously by Ray-Coquard (senior author on the paper, see next algorithm). The authors are from Centre Leon Berard, Lyon Cedex, France.
Patient selection: age < 18 years of age, solid tumor and receiving chemotherapy
Endpoint: Severe anemia requiring blood transfusion within 31 days of chemotherapy
Parameters at start of chemotherapy:
(1) ECOG performance scale
(2) hemoglobin
(3) absolute lymphocyte count
|
Parameter |
Finding |
Points |
|
ECOG performance scale |
0 or 1 |
0 |
|
|
2, 3 or 4 |
1 |
|
hemoglobin |
>= 12 g/dL |
0 |
|
|
< 12 g/dL |
1 |
|
absolute lymphocyte count (ALC) |
> 700 per µL |
0 |
|
|
<= 700 per µL |
1 |
number of risk factors =
= SUM(points for all 3 parameters)
|
Points for ALC |
Points for Hemoglobin |
Points for Performance |
Probability Transfusion |
|
0 |
0 |
0 |
2% |
|
0 |
0 |
1 |
10% |
|
0 |
1 |
0 |
15% |
|
1 |
0 |
0 |
26% |
|
0 |
1 |
1 |
53% |
|
1 |
0 |
1 |
69% |
|
1 |
1 |
0 |
77% |
|
1 |
1 |
1 |
96% |
after Table 3. page 4237
Specialty: Clinical Laboratory, Surgery, general, Anesthesiology, Emergency Medicine, Critical Care
