Venalainen et al reported a model for a predicting neutropenia following cancer chemotherapy. This can help to identify a patient who may require more aggressive management. The authors are from multiple institutions in Finland.
Paitent selection: cancer chemotherapy
Outcome: Grade IV neutropenia with serum CRP > 10 mg/L
Parameters:
(1) cancer type
(2) neutrophil count in 10^9
(3) platelet count in 10^9/L
(4) therapy
(5) use of G-CSF
(6) relative dose intensity
Parameter
Finding
Poitns
cancer type
breast
2.361
sarcoma
3.694
other
0
neutrophil count
-0.282 * LN(count)
platelet count
-0.966 * LN(count)
therapy with taxane
use of taxanes
1.262
use of taxanes and monoclonal antibodies
0.871
neither
0
use of topoisomerase inhibitors
no
0
yes
3.305
use of antimetabolites
no
0
yes
-0.787
use of G-CSF
no
0
yes
-1.780
relative dose intensity
< 85%
-0.814
>= 85%
0
value of X =
= SUM(points for all of the parameters) + 0.477
probability of neutropenia =
= 1 / (1 + EXP((-1) * (X)))
Performance:
• The area under the ROC curve is 0.75.
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