Predictive Model of Rombout-Sestrienkova et al for Predicting Treatments Required for a Patient with Untreated Hereditary Hemochromatosis: Erythrocytapheresis
Rombout-Sestrienkova et al reported predictive models for estimating the therapy required for the initial management of a patient with untreated hemochromatosis. One model predicts the number of erythrocytapheresis procedures required. The authors are from multiple institutions in The Netherlands.
Patient selection: untreated hemochromatosis
Goal: serum ferritin <= 100 µg/L
Parameters:
(1) initial serum ferritin in µg/L
(2) initial hemoglobin in mmol/L
(3) body mass index (BMI) in kg per square meter
(4) age in years
Parameter
Points
serum ferritin
0.005 * (ferritin)
initial hemoglobin
-1.5 * (hemoglobin)
BMI
-0.19 * (BMI)
age
0.07 * (age)
where:
• 1 mmol/L hemoglobin equals 1.61 g/dL.
number of erythrocytopheresis treatment procedures =
= SUM(points for all of the parameters) + 18.6
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